Benchmarks
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#1 Benchmarks
Linux-only app so please clarify if your results are from a VM
I think this is fool-proof but could you just try it for me please? • There are 10 types of people in the world; those who understand binary, and those who don’t
#2 Re: Benchmarks
2990WX native 64t @ 3.3G
Code: Select all
34714481 16490691 4 Mar 2020, 5:48:46 UTC 5 Mar 2020, 11:05:12 UTC Completed and validated 3,077.13 3,075.13 32.14 Random-base WEP Factorization v1.13
34714154 16490528 4 Mar 2020, 5:43:08 UTC 5 Mar 2020, 11:04:49 UTC Completed and validated 3,070.89 3,069.42 31.80 Random-base WEP Factorization v1.13
34713207 16490054 4 Mar 2020, 5:36:11 UTC 5 Mar 2020, 11:04:22 UTC Completed and validated 3,071.90 3,065.40 32.25 Random-base WEP Factorization v1.13
34712911 16489906 4 Mar 2020, 5:31:19 UTC 5 Mar 2020, 10:54:28 UTC Completed and validated 3,075.46 3,069.99 31.57 Random-base WEP Factorization v1.13
34712596 16489760 4 Mar 2020, 5:30:14 UTC 5 Mar 2020, 10:46:56 UTC Completed and validated 3,073.42 3,069.51 32.11 Random-base WEP Factorization v1.13
34712865 16489888 4 Mar 2020, 5:25:39 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,077.72 3,071.66 32.42 Random-base WEP Factorization v1.13
34712753 16489837 4 Mar 2020, 5:24:29 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,078.13 3,070.49 32.44 Random-base WEP Factorization v1.13
34712828 16489870 4 Mar 2020, 5:24:29 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,072.51 3,068.67 32.21 Random-base WEP Factorization v1.13
34712791 16489852 4 Mar 2020, 5:19:32 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,076.85 3,068.76 32.30 Random-base WEP Factorization v1.13
34712815 16489864 4 Mar 2020, 5:19:32 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,078.39 3,073.04 32.21 Random-base WEP Factorization v1.13
34712720 16489822 4 Mar 2020, 5:13:06 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,069.70 3,065.24 31.40 Random-base WEP Factorization v1.13
34712735 16489828 4 Mar 2020, 5:13:06 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,068.45 3,065.52 32.10 Random-base WEP Factorization v1.13
34712622 16489773 4 Mar 2020, 5:10:38 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,077.34 3,075.85 32.35 Random-base WEP Factorization v1.13
34712624 16489774 4 Mar 2020, 5:10:38 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,078.71 3,076.60 32.34 Random-base WEP Factorization v1.13
34712661 16489793 4 Mar 2020, 5:10:38 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,066.12 3,063.44 32.04 Random-base WEP Factorization v1.13
34712614 16489769 4 Mar 2020, 5:09:29 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,071.59 3,067.44 32.31 Random-base WEP Factorization v1.13
34712616 16489770 4 Mar 2020, 5:09:29 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,077.49 3,074.53 32.33 Random-base WEP Factorization v1.13
34712618 16489771 4 Mar 2020, 5:09:29 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,071.65 3,070.36 32.28 Random-base WEP Factorization v1.13
34712657 16489791 4 Mar 2020, 5:09:29 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,073.38 3,069.43 32.10 Random-base WEP Factorization v1.13
34712652 16489788 4 Mar 2020, 5:08:55 UTC 5 Mar 2020, 10:43:12 UTC Completed and validated 3,074.67 3,071.59 31.18 Random-base WEP Factorization v1.13
#3 2990wx at 3.3GHz
Wattage calcs will be wrong
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
3077.13 | 3075.13 | 32 | 57,756 | 9,626 | Random-base WEP Factorization v1.13 |
3070.89 | 3069.42 | 32 | 57,261 | 9,543 | Random-base WEP Factorization v1.13 |
3071.90 | 3065.40 | 32 | 58,052 | 9,675 | Random-base WEP Factorization v1.13 |
3075.46 | 3069.99 | 32 | 56,762 | 9,460 | Random-base WEP Factorization v1.13 |
3073.42 | 3069.51 | 32 | 57,771 | 9,629 | Random-base WEP Factorization v1.13 |
3077.72 | 3071.66 | 32 | 58,248 | 9,708 | Random-base WEP Factorization v1.13 |
3078.13 | 3070.49 | 32 | 58,276 | 9,713 | Random-base WEP Factorization v1.13 |
3072.51 | 3068.67 | 32 | 57,968 | 9,661 | Random-base WEP Factorization v1.13 |
3076.85 | 3068.76 | 32 | 58,048 | 9,675 | Random-base WEP Factorization v1.13 |
3078.39 | 3073.04 | 32 | 57,858 | 9,643 | Random-base WEP Factorization v1.13 |
3069.70 | 3065.24 | 31 | 56,562 | 9,427 | Random-base WEP Factorization v1.13 |
3068.45 | 3065.52 | 32 | 57,847 | 9,641 | Random-base WEP Factorization v1.13 |
3077.34 | 3075.85 | 32 | 58,129 | 9,688 | Random-base WEP Factorization v1.13 |
3078.71 | 3076.60 | 32 | 58,085 | 9,681 | Random-base WEP Factorization v1.13 |
3066.12 | 3063.44 | 32 | 57,783 | 9,630 | Random-base WEP Factorization v1.13 |
3071.59 | 3067.44 | 32 | 58,166 | 9,694 | Random-base WEP Factorization v1.13 |
3077.49 | 3074.53 | 32 | 58,090 | 9,682 | Random-base WEP Factorization v1.13 |
3071.65 | 3070.36 | 32 | 58,111 | 9,685 | Random-base WEP Factorization v1.13 |
3073.38 | 3069.43 | 32 | 57,754 | 9,626 | Random-base WEP Factorization v1.13 |
3074.67 | 3071.59 | 31 | 56,075 | 9,346 | Random-base WEP Factorization v1.13 |
3,074.08 | 3,070.10 | 32 | 57,730 | 9,622 | Averages for Ryzen 2990wx, 250W, 64 WU per proc |
#4 E5-2670 v1 native vs. VM
Native
and in a VM
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
4260.67 | 4231.20 | 32 | 10,470 | 3,794 | Random-base WEP Factorization v1.13 |
4267.60 | 4232.61 | 33 | 10,557 | 3,825 | Random-base WEP Factorization v1.13 |
4267.53 | 4231.77 | 32 | 10,450 | 3,786 | Random-base WEP Factorization v1.13 |
4268.53 | 4244.04 | 33 | 10,568 | 3,829 | Random-base WEP Factorization v1.13 |
4264.61 | 4233.96 | 33 | 10,567 | 3,829 | Random-base WEP Factorization v1.13 |
4277.40 | 4243.58 | 33 | 10,539 | 3,819 | Random-base WEP Factorization v1.13 |
4266.26 | 4236.13 | 32 | 10,414 | 3,773 | Random-base WEP Factorization v1.13 |
4270.46 | 4240.46 | 32 | 10,430 | 3,779 | Random-base WEP Factorization v1.13 |
4264.38 | 4235.65 | 33 | 10,652 | 3,860 | Random-base WEP Factorization v1.13 |
4269.70 | 4233.77 | 32 | 10,442 | 3,783 | Random-base WEP Factorization v1.13 |
4266.66 | 4237.77 | 32 | 10,258 | 3,717 | Random-base WEP Factorization v1.13 |
4278.51 | 4243.69 | 33 | 10,614 | 3,846 | Random-base WEP Factorization v1.13 |
4269.65 | 4234.13 | 32 | 10,396 | 3,767 | Random-base WEP Factorization v1.13 |
4264.31 | 4227.24 | 32 | 10,380 | 3,761 | Random-base WEP Factorization v1.13 |
4264.26 | 4227.46 | 32 | 10,406 | 3,770 | Random-base WEP Factorization v1.13 |
4268.57 | 4231.94 | 32 | 10,438 | 3,782 | Random-base WEP Factorization v1.13 |
4269.72 | 4240.41 | 33 | 10,649 | 3,858 | Random-base WEP Factorization v1.13 |
4264.81 | 4232.85 | 32 | 10,441 | 3,783 | Random-base WEP Factorization v1.13 |
4277.71 | 4234.90 | 32 | 10,270 | 3,721 | Random-base WEP Factorization v1.13 |
4261.43 | 4225.74 | 33 | 10,660 | 3,862 | Random-base WEP Factorization v1.13 |
4,268.14 | 4,234.97 | 32 | 10,480 | 3,797 | Averages for E5-2670 v1 @ 2.60GHz, 115W, 16 WU per proc |
and in a VM
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
11789.43 | 11773.71 | 31 | 3,579 | 1,297 | Random-base WEP Factorization v1.13 |
11806.46 | 11788.04 | 31 | 3,603 | 1,305 | Random-base WEP Factorization v1.13 |
11819.01 | 11804.28 | 31 | 3,578 | 1,296 | Random-base WEP Factorization v1.13 |
9754.89 | 9742.32 | 24 | 3,431 | 1,243 | Random-base WEP Factorization v1.13 |
11837.62 | 11823.46 | 30 | 3,505 | 1,270 | Random-base WEP Factorization v1.13 |
11828.46 | 11805.76 | 30 | 3,537 | 1,281 | Random-base WEP Factorization v1.13 |
11829.49 | 11814.48 | 31 | 3,565 | 1,292 | Random-base WEP Factorization v1.13 |
11834.84 | 11820.98 | 30 | 3,524 | 1,277 | Random-base WEP Factorization v1.13 |
11837.89 | 11825.68 | 31 | 3,565 | 1,292 | Random-base WEP Factorization v1.13 |
11828.74 | 11818.48 | 31 | 3,573 | 1,294 | Random-base WEP Factorization v1.13 |
11827.73 | 11817.74 | 31 | 3,566 | 1,292 | Random-base WEP Factorization v1.13 |
11836.87 | 11819.93 | 31 | 3,605 | 1,306 | Random-base WEP Factorization v1.13 |
11829.76 | 11817.18 | 31 | 3,595 | 1,302 | Random-base WEP Factorization v1.13 |
11830.77 | 11823.44 | 31 | 3,615 | 1,310 | Random-base WEP Factorization v1.13 |
11833.78 | 11822.71 | 31 | 3,570 | 1,293 | Random-base WEP Factorization v1.13 |
11830.71 | 11822.21 | 30 | 3,560 | 1,290 | Random-base WEP Factorization v1.13 |
11834.89 | 11821.18 | 31 | 3,566 | 1,292 | Random-base WEP Factorization v1.13 |
11848.12 | 11839.84 | 30 | 3,550 | 1,286 | Random-base WEP Factorization v1.13 |
11828.61 | 11818.10 | 31 | 3,575 | 1,295 | Random-base WEP Factorization v1.13 |
11835.91 | 11818.12 | 30 | 3,560 | 1,290 | Random-base WEP Factorization v1.13 |
11,725.20 | 11,711.88 | 30 | 3,561 | 1,290 | Averages for E5-2670 v1 @ 2.60GHz, 115W, 16 WU per proc |
#5 Platinum 8176 ES
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
5245.19 | 5224.15 | 32 | 29,481 | 7,445 | Random-base WEP Factorization v1.13 |
5259.67 | 5225.43 | 32 | 29,768 | 7,517 | Random-base WEP Factorization v1.13 |
5259.56 | 5223.73 | 32 | 29,309 | 7,401 | Random-base WEP Factorization v1.13 |
5260.59 | 5225.16 | 32 | 29,349 | 7,411 | Random-base WEP Factorization v1.13 |
5249.37 | 5225.37 | 32 | 29,338 | 7,409 | Random-base WEP Factorization v1.13 |
5255.54 | 5224.69 | 32 | 29,377 | 7,418 | Random-base WEP Factorization v1.13 |
5251.38 | 5224.29 | 33 | 29,953 | 7,564 | Random-base WEP Factorization v1.13 |
5259.42 | 5234.27 | 33 | 30,101 | 7,601 | Random-base WEP Factorization v1.13 |
5259.30 | 5224.55 | 33 | 30,451 | 7,690 | Random-base WEP Factorization v1.13 |
5270.68 | 5225.96 | 33 | 30,422 | 7,682 | Random-base WEP Factorization v1.13 |
5252.36 | 5223.62 | 32 | 29,819 | 7,530 | Random-base WEP Factorization v1.13 |
5262.57 | 5225.20 | 32 | 29,531 | 7,457 | Random-base WEP Factorization v1.13 |
5250.47 | 5223.53 | 32 | 29,267 | 7,391 | Random-base WEP Factorization v1.13 |
5258.58 | 5224.68 | 32 | 29,618 | 7,479 | Random-base WEP Factorization v1.13 |
5255.64 | 5224.41 | 32 | 29,561 | 7,465 | Random-base WEP Factorization v1.13 |
5251.52 | 5223.87 | 32 | 29,547 | 7,461 | Random-base WEP Factorization v1.13 |
5255.59 | 5224.51 | 32 | 29,635 | 7,484 | Random-base WEP Factorization v1.13 |
5256.51 | 5224.17 | 33 | 30,228 | 7,633 | Random-base WEP Factorization v1.13 |
5256.50 | 5223.02 | 33 | 30,035 | 7,585 | Random-base WEP Factorization v1.13 |
5260.48 | 5224.27 | 32 | 29,745 | 7,511 | Random-base WEP Factorization v1.13 |
5,256.55 | 5,224.94 | 32 | 29,727 | 7,507 | Averages for Platinum 8176 ES, 165W, 56 WU per proc |
- Dirk Broer
- Corsair
- Posts: 1967
- Joined: Thu Feb 20, 2014 11:24 pm
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#6 Re: Benchmarks
Odroid-XU4 octa-core (4x Cortex-A15 plus 4x Cortex-A7 in big.LITTLE) running Hardkernel-supplied Ubuntu Mate 20.04, estimated 13.2 Watt power draw, 8 WU's per proc -all cores running @1400MHz
This Odroid-XU4 is cooled with the passive heatsink of the XU4Q, on which a Noctua NF-A4x20 is mounted,
using the handy Noctua-supplied OmniJoin tool (comes with the fan) together with the original Odroid fan cable:
.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
14251.71 | 13543.01 | 30 | 1,453 | 4,587 | Random-base WEP Factorization v1.15 |
14175.58 | 13464.04 | 30 | 1,448 | 4,571 | Random-base WEP Factorization v1.15 |
14317.27 | 13627.30 | 30 | 1,441 | 4,549 | Random-base WEP Factorization v1.15 |
14282.14 | 13557.93 | 30 | 1,433 | 4,525 | Random-base WEP Factorization v1.15 |
13965.99 | 13280.82 | 31 | 1,519 | 4,796 | Random-base WEP Factorization v1.15 |
13924.38 | 13217.27 | 29 | 1,457 | 4,599 | Random-base WEP Factorization v1.15 |
14409.43 | 13766.33 | 30 | 1,427 | 4,505 | Random-base WEP Factorization v1.15 |
14126.92 | 13441.38 | 30 | 1,457 | 4,599 | Random-base WEP Factorization v1.15 |
14162.82 | 13491.80 | 29 | 1,399 | 4,415 | Random-base WEP Factorization v1.15 |
14194.68 | 13513.17 | 30 | 1,440 | 4,545 | Random-base WEP Factorization v1.15 |
13981.06 | 13276.21 | 29 | 1,457 | 4,601 | Random-base WEP Factorization v1.15 |
14477.76 | 13828.80 | 29 | 1,401 | 4,423 | Random-base WEP Factorization v1.15 |
14130.80 | 13452.16 | 30 | 1,443 | 4,555 | Random-base WEP Factorization v1.15 |
14165.76 | 13489.94 | 29 | 1,428 | 4,508 | Random-base WEP Factorization v1.15 |
14187.86 | 13537.65 | 29 | 1,414 | 4,463 | Random-base WEP Factorization v1.15 |
14040.12 | 13373.10 | 29 | 1,409 | 4,448 | Random-base WEP Factorization v1.15 |
14260.64 | 13560.00 | 29 | 1,393 | 4,396 | Random-base WEP Factorization v1.15 |
14067.20 | 13375.72 | 29 | 1,431 | 4,518 | Random-base WEP Factorization v1.15 |
14467.27 | 13790.09 | 30 | 1,418 | 4,475 | Random-base WEP Factorization v1.15 |
14463.66 | 13509.54 | 30 | 1,417 | 4,474 | Random-base WEP Factorization v1.15 |
14,202.65 | 13,504.81 | 29 | 1,434 | 4,527 | Averages for Odroid-XU4, 13.2 Watt, 8 WUs per proc |
using the handy Noctua-supplied OmniJoin tool (comes with the fan) together with the original Odroid fan cable:
.
- Dirk Broer
- Corsair
- Posts: 1967
- Joined: Thu Feb 20, 2014 11:24 pm
- Location: Leiden, South Holland, Netherlands
- Contact:
#7 Re: Benchmarks
Raspberry Pi 3 (4x Cortex-A53) running 32-bit Raspbian Pi OS Buster, real power draw at 3.7 Watt, 4 WUs per proc. Four cores running @1200 MHz
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
18494.11 | 17513.84 | 29 | 547 | 6,157 | Random-base WEP Factorization v1.15 |
18522.96 | 17520.55 | 30 | 560 | 6,308 | Random-base WEP Factorization v1.15 |
18550.05 | 17521.78 | 29 | 544 | 6,128 | Random-base WEP Factorization v1.15 |
18532.60 | 17522.84 | 29 | 546 | 6,145 | Random-base WEP Factorization v1.15 |
18499.79 | 17516.97 | 29 | 549 | 6,185 | Random-base WEP Factorization v1.15 |
18515.22 | 17520.71 | 29 | 549 | 6,184 | Random-base WEP Factorization v1.15 |
18511.77 | 17519.65 | 30 | 551 | 6,204 | Random-base WEP Factorization v1.15 |
18470.49 | 17514.39 | 30 | 563 | 6,338 | Random-base WEP Factorization v1.15 |
18470.20 | 17511.57 | 29 | 549 | 6,180 | Random-base WEP Factorization v1.15 |
18454.70 | 17510.01 | 30 | 563 | 6,337 | Random-base WEP Factorization v1.15 |
18462.46 | 17512.91 | 29 | 551 | 6,202 | Random-base WEP Factorization v1.15 |
18438.93 | 17508.74 | 30 | 556 | 6,267 | Random-base WEP Factorization v1.15 |
18483.23 | 17511.86 | 29 | 550 | 6,188 | Random-base WEP Factorization v1.15 |
18478.07 | 17512.40 | 30 | 555 | 6,247 | Random-base WEP Factorization v1.15 |
18484.77 | 17515.23 | 30 | 554 | 6,241 | Random-base WEP Factorization v1.15 |
18486.97 | 17515.56 | 29 | 536 | 6,040 | Random-base WEP Factorization v1.15 |
18483.43 | 17515.67 | 30 | 554 | 6,241 | Random-base WEP Factorization v1.15 |
18513.40 | 17520.52 | 30 | 552 | 6,216 | Random-base WEP Factorization v1.15 |
18539.21 | 17519.41 | 30 | 552 | 6,220 | Random-base WEP Factorization v1.15 |
18520.26 | 17520.28 | 29 | 549 | 6,184 | Random-base WEP Factorization v1.15 |
18,495.63 | 17,516.24 | 30 | 552 | 6,211 | Averages for Raspberry Pi3, Power draw at 3.7Watt, 4 WUs per proc |
- Dirk Broer
- Corsair
- Posts: 1967
- Joined: Thu Feb 20, 2014 11:24 pm
- Location: Leiden, South Holland, Netherlands
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#8 Re: Benchmarks
Raspberry Pi 4 (4x Cortex-A72) running 64-bit Debian Buster, 15W (5V/3A), 4 WUs per proc. Four cores running @2000 MHz, GPU @500 MHz
This Raspberry Pi 4 (8GB model) is cooled with a tower model 52Pi Ice Tower cooler.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
7303.94 | 6788.12 | 29 | 1,391 | 3,864 | Random-base WEP Factorization v1.15 |
7302.70 | 6788.13 | 29 | 1,385 | 3,846 | Random-base WEP Factorization v1.15 |
7283.34 | 6787.94 | 29 | 1,393 | 3,870 | Random-base WEP Factorization v1.15 |
7289.44 | 6787.89 | 29 | 1,395 | 3,876 | Random-base WEP Factorization v1.15 |
7289.20 | 6787.74 | 29 | 1,376 | 3,823 | Random-base WEP Factorization v1.15 |
7281.20 | 6788.66 | 29 | 1,400 | 3,888 | Random-base WEP Factorization v1.15 |
7289.23 | 6788.34 | 30 | 1,401 | 3,890 | Random-base WEP Factorization v1.15 |
7303.48 | 6789.53 | 30 | 1,402 | 3,893 | Random-base WEP Factorization v1.15 |
7283.72 | 6789.03 | 29 | 1,395 | 3,875 | Random-base WEP Factorization v1.15 |
7302.05 | 6788.65 | 30 | 1,403 | 3,898 | Random-base WEP Factorization v1.15 |
7292.26 | 6788.04 | 29 | 1,396 | 3,878 | Random-base WEP Factorization v1.15 |
7299.69 | 6790.16 | 30 | 1,401 | 3,893 | Random-base WEP Factorization v1.15 |
7306.96 | 6790.56 | 30 | 1,399 | 3,885 | Random-base WEP Factorization v1.15 |
7305.65 | 6789.35 | 30 | 1,399 | 3,887 | Random-base WEP Factorization v1.15 |
7307.39 | 6789.83 | 30 | 1,412 | 3,923 | Random-base WEP Factorization v1.15 |
7308.41 | 6790.72 | 30 | 1,414 | 3,928 | Random-base WEP Factorization v1.15 |
7302.57 | 6789.69 | 30 | 1,398 | 3,885 | Random-base WEP Factorization v1.15 |
7299.88 | 6789.41 | 30 | 1,406 | 3,906 | Random-base WEP Factorization v1.15 |
7296.24 | 6790.32 | 30 | 1,401 | 3,891 | Random-base WEP Factorization v1.15 |
7305.74 | 6789.32 | 30 | 1,401 | 3,892 | Random-base WEP Factorization v1.15 |
7,297.65 | 6,789.07 | 30 | 1,398 | 3,885 | Averages for Raspberry Pi4, 15W, 4 WU per proc |
- Dirk Broer
- Corsair
- Posts: 1967
- Joined: Thu Feb 20, 2014 11:24 pm
- Location: Leiden, South Holland, Netherlands
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#9 Re: Benchmarks
Odroid-N2+ (4x Cortex-A73 + 2x Cortex-A53) running 64-bit Armbian Buster, corrected for 6.2 Watt power draw, 6 WUs per proc, Four A73 cores running @2400 MHz, two A53 cores running @2016 MHz
On top of this the Odroid-N2+ stays cool at 37°C, due to the huge heatsink and (set to 'always-on') 80mm fan.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
9457.40 | 9249.39 | 29 | 1,608 | 10,808 | Random-base WEP Factorization v1.15 |
9463.30 | 9260.06 | 30 | 1,627 | 10,934 | Random-base WEP Factorization v1.15 |
9460.44 | 9257.78 | 30 | 1,623 | 10,908 | Random-base WEP Factorization v1.15 |
9467.48 | 9256.13 | 30 | 1,633 | 10,973 | Random-base WEP Factorization v1.15 |
9489.52 | 9254.14 | 30 | 1,620 | 10,885 | Random-base WEP Factorization v1.15 |
9491.48 | 9256.64 | 30 | 1,625 | 10,923 | Random-base WEP Factorization v1.15 |
9483.90 | 9236.74 | 30 | 1,623 | 10,910 | Random-base WEP Factorization v1.15 |
9517.15 | 9270.94 | 29 | 1,602 | 10,766 | Random-base WEP Factorization v1.15 |
9497.02 | 9254.51 | 30 | 1,617 | 10,869 | Random-base WEP Factorization v1.15 |
9482.89 | 9231.35 | 30 | 1,633 | 10,974 | Random-base WEP Factorization v1.15 |
9511.22 | 9262.20 | 29 | 1,596 | 10,725 | Random-base WEP Factorization v1.15 |
9502.05 | 9248.15 | 28 | 1,553 | 10,438 | Random-base WEP Factorization v1.15 |
9487.65 | 9236.03 | 29 | 1,590 | 10,686 | Random-base WEP Factorization v1.15 |
9514.52 | 9260.15 | 29 | 1,602 | 10,769 | Random-base WEP Factorization v1.15 |
9507.82 | 9252.91 | 29 | 1,598 | 10,736 | Random-base WEP Factorization v1.15 |
9499.45 | 9242.60 | 29 | 1,602 | 10,768 | Random-base WEP Factorization v1.15 |
9508.20 | 9257.88 | 29 | 1,593 | 10,706 | Random-base WEP Factorization v1.15 |
9505.17 | 9250.18 | 29 | 1,594 | 10,713 | Random-base WEP Factorization v1.15 |
9493.01 | 9238.43 | 29 | 1,597 | 10,735 | Random-base WEP Factorization v1.15 |
9488.04 | 9238.82 | 29 | 1,599 | 10,748 | Random-base WEP Factorization v1.15 |
9,491.39 | 9,250.75 | 29 | 1,607 | 10,799 | Averages for Odroid-N2+, 6.2 Watt, 6 WU per proc |
- Dirk Broer
- Corsair
- Posts: 1967
- Joined: Thu Feb 20, 2014 11:24 pm
- Location: Leiden, South Holland, Netherlands
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#10 Re: Benchmarks
nVidia Jetson Nano (4x Cortex-A57) running 64-bit L4T (Linux for Tegra), 3.8 Watt power draw, 4 WUs per proc. Four Cortex-A57 cores running @1400 MHz
I replaced my Raspberry Pi 2's with Jetson Nano's -using the exact same 5V/3A power supplies. I could not find any performance differences between the 2GB and the 4GB model as yet
(though some projects will try to offer WUs beyond the capabilities of the 2GB model)
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
11388.38 | 10790.09 | 31 | 935 | 10,252 | Random-base WEP Factorization v1.15 |
11317.97 | 10788.37 | 30 | 925 | 10,138 | Random-base WEP Factorization v1.15 |
10741.02 | 10257.46 | 29 | 945 | 10,362 | Random-base WEP Factorization v1.15 |
11345.77 | 10789.98 | 30 | 920 | 10,083 | Random-base WEP Factorization v1.15 |
11338.58 | 10788.96 | 30 | 910 | 9,973 | Random-base WEP Factorization v1.15 |
11350.22 | 10789.53 | 31 | 931 | 10,210 | Random-base WEP Factorization v1.15 |
11305.20 | 10787.20 | 30 | 921 | 10,099 | Random-base WEP Factorization v1.15 |
11302.62 | 10788.11 | 30 | 921 | 10,102 | Random-base WEP Factorization v1.15 |
11311.98 | 10789.04 | 29 | 887 | 9,728 | Random-base WEP Factorization v1.15 |
11304.41 | 10787.28 | 30 | 909 | 9,969 | Random-base WEP Factorization v1.15 |
11339.66 | 10789.52 | 30 | 909 | 9,962 | Random-base WEP Factorization v1.15 |
11322.86 | 10787.86 | 30 | 907 | 9,950 | Random-base WEP Factorization v1.15 |
11326.11 | 10788.92 | 30 | 913 | 10,011 | Random-base WEP Factorization v1.15 |
11337.88 | 10788.82 | 29 | 880 | 9,646 | Random-base WEP Factorization v1.15 |
11327.83 | 10790.09 | 30 | 900 | 9,872 | Random-base WEP Factorization v1.15 |
11325.77 | 10787.89 | 29 | 890 | 9,763 | Random-base WEP Factorization v1.15 |
11343.09 | 10787.51 | 30 | 899 | 9,855 | Random-base WEP Factorization v1.15 |
11324.35 | 10788.25 | 29 | 880 | 9,654 | Random-base WEP Factorization v1.15 |
11342.63 | 10788.37 | 30 | 899 | 9,862 | Random-base WEP Factorization v1.15 |
11341.37 | 10788.95 | 30 | 900 | 9,867 | Random-base WEP Factorization v1.15 |
11,301.89 | 10,762.11 | 30 | 909 | 9,968 | Averages for nVidia Tegra X1 (ARM Cortex-A57 in Jetson Nano), @3.8 Watt, 4 WUs per proc |
(though some projects will try to offer WUs beyond the capabilities of the 2GB model)
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#11 Re: Benchmarks
After the success over overclocking my 8Gb Raspberry Pi 4 to 2000 MHz and running 64-bit Debian Linux on it, I decided to overclock my two 4 GB models also to 2000 MHz.
Using the 52Pi low-profile cooler for both, i decided to use thermal paste on one and use the supplied adhesive thermal pads for the other. I also overclocked the GPUs of these two as described here how -and why. To my surprise the thermal paste only gave better temperatures, the performance crown went to the pads.
Raspberry Pi 4 (4x Cortex-A72) running 64-bit Debian Buster, 15W (5V/3A), 4 WUs per proc. Four cores running @2000 MHz, GPU @750 MHz.
Using the 52Pi low-profile cooler for both, i decided to use thermal paste on one and use the supplied adhesive thermal pads for the other. I also overclocked the GPUs of these two as described here how -and why. To my surprise the thermal paste only gave better temperatures, the performance crown went to the pads.
Raspberry Pi 4 (4x Cortex-A72) running 64-bit Debian Buster, 15W (5V/3A), 4 WUs per proc. Four cores running @2000 MHz, GPU @750 MHz.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
6881.07 | 6754.81 | 31 | 1,565 | 4,346 | Random-base WEP Factorization v1.15 |
6879.25 | 6754.41 | 30 | 1,493 | 4,146 | Random-base WEP Factorization v1.15 |
6884.41 | 6754.84 | 30 | 1,481 | 4,114 | Random-base WEP Factorization v1.15 |
6885.23 | 6754.93 | 30 | 1,522 | 4,227 | Random-base WEP Factorization v1.15 |
6883.64 | 6755.14 | 30 | 1,524 | 4,233 | Random-base WEP Factorization v1.15 |
6885.03 | 6755.34 | 29 | 1,473 | 4,091 | Random-base WEP Factorization v1.15 |
6878.63 | 6754.95 | 30 | 1,497 | 4,158 | Random-base WEP Factorization v1.15 |
6887.11 | 6755.90 | 30 | 1,515 | 4,210 | Random-base WEP Factorization v1.15 |
6882.86 | 6754.09 | 30 | 1,489 | 4,137 | Random-base WEP Factorization v1.15 |
6874.18 | 6753.38 | 30 | 1,526 | 4,240 | Random-base WEP Factorization v1.15 |
6875.54 | 6754.40 | 30 | 1,491 | 4,143 | Random-base WEP Factorization v1.15 |
6874.36 | 6752.65 | 30 | 1,511 | 4,196 | Random-base WEP Factorization v1.15 |
6871.19 | 6752.13 | 30 | 1,501 | 4,169 | Random-base WEP Factorization v1.15 |
6873.68 | 6752.14 | 30 | 1,499 | 4,165 | Random-base WEP Factorization v1.15 |
6871.96 | 6752.68 | 30 | 1,512 | 4,199 | Random-base WEP Factorization v1.15 |
6866.90 | 6752.33 | 30 | 1,510 | 4,194 | Random-base WEP Factorization v1.15 |
6870.41 | 6752.61 | 31 | 1,566 | 4,351 | Random-base WEP Factorization v1.15 |
6869.13 | 6752.99 | 30 | 1,508 | 4,190 | Random-base WEP Factorization v1.15 |
6870.08 | 6752.85 | 30 | 1,496 | 4,156 | Random-base WEP Factorization v1.15 |
6866.66 | 6751.72 | 30 | 1,510 | 4,196 | Random-base WEP Factorization v1.15 |
6,876.57 | 6,753.71 | 30 | 1,509 | 4,193 | Averages for Raspberry Pi 4, 15W, 4 WU per proc |
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#12 Re: Benchmarks
"the thermal paste only gave better temperatures, the performance crown went to the pads"
Yes, that is rather surprising - wanless is very consistent in WU runtimes and that helps make comparisons
Yes, that is rather surprising - wanless is very consistent in WU runtimes and that helps make comparisons
I think this is fool-proof but could you just try it for me please? • There are 10 types of people in the world; those who understand binary, and those who don’t
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#13 Re: Benchmarks
With all these ARM SBC's I have used -by lack of TDP- the wattage of the PSU for the Watt value, but that is way too much, compared to real life power consumption.
For the Raspberry Pi 4 I have found that, when you have the latest firmware installed, the real power draw is some 6.41 Watt, getting confirmed here.
But you'll say: "That applies to a stock speed Pi 4 (1500 MHz)", and right you are, I just overclock the sh%t out of the Pi 4, and that comes at a penalty, paid in Watts. The Wattage when running 2000 MHz comes at 11W, as shown here
What does this mean for e.g. the previous table?
Averages for Raspberry Pi 4 Model B 4GB, @11Watt power draw (corrected for overclocking), 4 WUs per processor running @2000MHz. GPU @750 MHz.
For the Raspberry Pi 4 I have found that, when you have the latest firmware installed, the real power draw is some 6.41 Watt, getting confirmed here.
But you'll say: "That applies to a stock speed Pi 4 (1500 MHz)", and right you are, I just overclock the sh%t out of the Pi 4, and that comes at a penalty, paid in Watts. The Wattage when running 2000 MHz comes at 11W, as shown here
What does this mean for e.g. the previous table?
Averages for Raspberry Pi 4 Model B 4GB, @11Watt power draw (corrected for overclocking), 4 WUs per processor running @2000MHz. GPU @750 MHz.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
6873.87 | 6752.59 | 30 | 1,522 | 5,765 | Random-base WEP Factorization v1.15 |
6873.63 | 6752.78 | 30 | 1,527 | 5,786 | Random-base WEP Factorization v1.15 |
1893.32 | 1864.23 | 8 | 1,515 | 5,739 | Random-base WEP Factorization v1.15 |
6869.87 | 6752.23 | 30 | 1,513 | 5,730 | Random-base WEP Factorization v1.15 |
6870.28 | 6752.68 | 30 | 1,506 | 5,703 | Random-base WEP Factorization v1.15 |
6878.01 | 6753.82 | 30 | 1,500 | 5,683 | Random-base WEP Factorization v1.15 |
6885.78 | 6754.42 | 30 | 1,506 | 5,703 | Random-base WEP Factorization v1.15 |
6881.07 | 6754.81 | 31 | 1,565 | 5,926 | Random-base WEP Factorization v1.15 |
6883.75 | 6754.89 | 30 | 1,507 | 5,707 | Random-base WEP Factorization v1.15 |
6879.25 | 6754.41 | 30 | 1,493 | 5,654 | Random-base WEP Factorization v1.15 |
6884.41 | 6754.84 | 30 | 1,481 | 5,610 | Random-base WEP Factorization v1.15 |
6885.23 | 6754.93 | 30 | 1,522 | 5,765 | Random-base WEP Factorization v1.15 |
6883.64 | 6755.14 | 30 | 1,524 | 5,772 | Random-base WEP Factorization v1.15 |
6885.03 | 6755.34 | 29 | 1,473 | 5,579 | Random-base WEP Factorization v1.15 |
4464.72 | 4388.67 | 20 | 1,521 | 5,762 | Random-base WEP Factorization v1.15 |
6878.63 | 6754.95 | 30 | 1,497 | 5,669 | Random-base WEP Factorization v1.15 |
6887.11 | 6755.90 | 30 | 1,515 | 5,740 | Random-base WEP Factorization v1.15 |
6882.86 | 6754.09 | 30 | 1,489 | 5,641 | Random-base WEP Factorization v1.15 |
6874.18 | 6753.38 | 30 | 1,526 | 5,782 | Random-base WEP Factorization v1.15 |
6875.54 | 6754.40 | 30 | 1,491 | 5,649 | Random-base WEP Factorization v1.15 |
6,509.51 | 6,391.43 | 28 | 1,510 | 5,718 | Averages for BCM2711 (ARM Cortex-A72 in Raspberry Pi 4) @2000 MHz, 11Watt power draw, 4 WU per proc |
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#14 Re: Benchmarks
I suggest you just delete the first table TBH, perhaps just noting the /kwH figure if TDP is used
I think this is fool-proof but could you just try it for me please? • There are 10 types of people in the world; those who understand binary, and those who don’t
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#15 Re: Benchmarks
Deleted the 6.41 Watt Pi4 version -and recalculated the Pi3 table for 3.7 Watt, the Jetson Nano for 3.8 Watt, the Odroid-XU4 for 13.2(!) Watt and the Odroid-N2+ for 6.2 Watt...
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#16 Re: Benchmarks
Averages for Odroid-C1, @5.1 Watt power draw, 4 WUs per processor, running @1540 MHz.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
19316.03 | 18959.30 | 29 | 519 | 4,242 | Random-base WEP Factorization v1.15 |
18906.63 | 18893.85 | 29 | 534 | 4,365 | Random-base WEP Factorization v1.15 |
19052.72 | 18915.01 | 29 | 528 | 4,317 | Random-base WEP Factorization v1.15 |
13001.77 | 12886.75 | 20 | 528 | 4,315 | Random-base WEP Factorization v1.15 |
19057.86 | 18915.55 | 28 | 511 | 4,177 | Random-base WEP Factorization v1.15 |
19056.71 | 18915.28 | 29 | 532 | 4,350 | Random-base WEP Factorization v1.15 |
19515.45 | 18997.87 | 29 | 521 | 4,257 | Random-base WEP Factorization v1.15 |
19497.91 | 19000.38 | 29 | 517 | 4,220 | Random-base WEP Factorization v1.15 |
19510.32 | 18999.89 | 30 | 525 | 4,288 | Random-base WEP Factorization v1.15 |
19513.52 | 18997.16 | 29 | 520 | 4,247 | Random-base WEP Factorization v1.15 |
19423.43 | 18984.09 | 29 | 524 | 4,281 | Random-base WEP Factorization v1.15 |
19425.61 | 18983.63 | 30 | 541 | 4,417 | Random-base WEP Factorization v1.15 |
19398.71 | 18986.03 | 30 | 533 | 4,356 | Random-base WEP Factorization v1.15 |
19421.69 | 18984.05 | 29 | 520 | 4,249 | Random-base WEP Factorization v1.15 |
19364.63 | 18980.44 | 29 | 521 | 4,253 | Random-base WEP Factorization v1.15 |
19381.96 | 18977.46 | 29 | 517 | 4,226 | Random-base WEP Factorization v1.15 |
19379.73 | 18977.32 | 29 | 519 | 4,238 | Random-base WEP Factorization v1.15 |
19384.04 | 18978.45 | 29 | 518 | 4,236 | Random-base WEP Factorization v1.15 |
19682.68 | 19022.39 | 29 | 510 | 4,169 | Random-base WEP Factorization v1.15 |
19674.61 | 19021.05 | 29 | 515 | 4,209 | Random-base WEP Factorization v1.15 |
19,048.30 | 18,668.80 | 29 | 523 | 4,271 | Averages for Amlogic S805 (ARM Cortex-A5 in Odroid-C1), 5.1 Watt tdp, 4 WU per proc |
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#17 Re: Benchmarks
Averages for Banana Pi M2, @5 Watt power draw, 4 WUs per processor, running @1000 MHz.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
29124.70 | 28086.37 | 26 | 306 | 2,551 | Random-base WEP Factorization v1.15 |
29594.25 | 28201.29 | 28 | 327 | 2,728 | Random-base WEP Factorization v1.15 |
29272.63 | 28199.08 | 29 | 337 | 2,807 | Random-base WEP Factorization v1.15 |
29254.15 | 28198.56 | 28 | 334 | 2,785 | Random-base WEP Factorization v1.15 |
29272.59 | 28198.91 | 26 | 310 | 2,581 | Random-base WEP Factorization v1.15 |
31538.59 | 28227.91 | 25 | 277 | 2,311 | Random-base WEP Factorization v1.15 |
29588.63 | 28201.40 | 28 | 326 | 2,716 | Random-base WEP Factorization v1.15 |
29598.00 | 28202.03 | 26 | 307 | 2,559 | Random-base WEP Factorization v1.15 |
31552.09 | 28230.09 | 26 | 284 | 2,363 | Random-base WEP Factorization v1.15 |
29576.21 | 28202.35 | 28 | 327 | 2,728 | Random-base WEP Factorization v1.15 |
31537.58 | 28228.44 | 26 | 280 | 2,330 | Random-base WEP Factorization v1.15 |
31553.12 | 28228.39 | 26 | 283 | 2,361 | Random-base WEP Factorization v1.15 |
30,121.88 | 28,200.40 | 27 | 308 | 2,568 | Averages for Allwinner A31s (ARM Cortex-A7 in Banana PI M2), 5 Watt tdp, 4 WU per proc |
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#18 Re: Benchmarks
Averages for Asus Tinker Board S, @5 Watt power draw, 4 WUs per processor, running @1800 MHz.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
12211.68 | 12171.31 | 29 | 819 | 6,823 | Random-base WEP Factorization v1.15 |
12201.86 | 12165.85 | 29 | 823 | 6,857 | Random-base WEP Factorization v1.15 |
11274.07 | 11244.93 | 29 | 894 | 7,452 | Random-base WEP Factorization v1.15 |
12199.93 | 12168.35 | 30 | 841 | 7,006 | Random-base WEP Factorization v1.15 |
11,971.89 | 11,937.61 | 29 | 844 | 7,034 | Averages for RK3288 (ARM Cortex-A17 in Asus Tinker Board S), 5 Watt tdp, 4 WU per proc |
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#19 Re: Benchmarks
Averages for Banana Pi M2, @5 Watt power draw, 4 WUs per processor, running @1008 MHz under a Noctua NC-U6 chipset cooler with 60mm Noctua NF-A6x25 fan.
So the better cooling brought lower temperatures, but longer runtimes(!), albeit with less CPU time. Also slightly more credit on average per day/proc and a slightly better credit/kWH.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
32914.09 | 24440.10 | 31 | 330 | 2,752 | Random-base WEP Factorization v1.15 |
32962.06 | 24443.88 | 31 | 330 | 2,751 | Random-base WEP Factorization v1.15 |
32952.72 | 24442.44 | 31 | 327 | 2,729 | Random-base WEP Factorization v1.15 |
32939.41 | 24441.02 | 31 | 327 | 2,727 | Random-base WEP Factorization v1.15 |
35332.76 | 24450.54 | 32 | 315 | 2,625 | Random-base WEP Factorization v1.15 |
35357.54 | 24444.69 | 32 | 313 | 2,609 | Random-base WEP Factorization v1.15 |
35315.07 | 24448.74 | 32 | 309 | 2,577 | Random-base WEP Factorization v1.15 |
32792.03 | 24429.69 | 31 | 330 | 2,747 | Random-base WEP Factorization v1.15 |
32794.09 | 24428.03 | 31 | 322 | 2,686 | Random-base WEP Factorization v1.15 |
32790.99 | 24426.48 | 31 | 324 | 2,701 | Random-base WEP Factorization v1.15 |
32814.78 | 24426.47 | 30 | 319 | 2,662 | Random-base WEP Factorization v1.15 |
32859.58 | 24427.38 | 30 | 320 | 2,668 | Random-base WEP Factorization v1.15 |
32781.34 | 24427.09 | 30 | 312 | 2,601 | Random-base WEP Factorization v1.15 |
32803.74 | 24428.36 | 29 | 308 | 2,570 | Random-base WEP Factorization v1.15 |
32776.78 | 24424.04 | 30 | 312 | 2,596 | Random-base WEP Factorization v1.15 |
34529.29 | 24620.45 | 29 | 291 | 2,423 | Random-base WEP Factorization v1.15 |
34477.88 | 24625.28 | 29 | 288 | 2,403 | Random-base WEP Factorization v1.15 |
34454.53 | 24628.88 | 29 | 287 | 2,391 | Random-base WEP Factorization v1.15 |
34513.07 | 24625.51 | 29 | 293 | 2,442 | Random-base WEP Factorization v1.15 |
34772.75 | 24654.39 | 28 | 278 | 2,318 | Random-base WEP Factorization v1.15 |
33,646.73 | 24,484.17 | 30 | 312 | 2,599 | Averages for Banana Pi M2 (SOC: Allwinner-A31s), 5Watt, 4 WU per proc |
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#20 Re: Benchmarks
For SRBase what is a good running time if it is 2 up on a 2080 ti?
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#21 Re: Benchmarks
For me it is over 23 minutes and still running, seems too slow.
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#22 Re: Benchmarks
I think this is fool-proof but could you just try it for me please? • There are 10 types of people in the world; those who understand binary, and those who don’t
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#23 Re: Benchmarks
What is the effect of putting a big Chinese HB-802 Northbridge cooler with a 5V Noctua 80mm fan on an Odroid-C1 on CPU time and running time? And perhaps more important: will the extra Wattage for the fan be justified?
Averages for Odroid-C1, @5.1 Watt power draw, 4 WUs per processor, running @1540 MHz, extremely cooled.
Other than with the super-cooled Banana Pi M2 we see here less run time, but more CPU time. The Credit per kWH goes up from 4,271 to 4,764, the credit/day from 523 to 583.
Averages for Odroid-C1, @5.1 Watt power draw, 4 WUs per processor, running @1540 MHz, extremely cooled.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
18977.97 | 18912.69 | 33 | 610 | 4,983 | Random-base WEP Factorization v1.15 |
18989.57 | 18916.61 | 34 | 623 | 5,093 | Random-base WEP Factorization v1.15 |
18983.13 | 18914.19 | 34 | 621 | 5,072 | Random-base WEP Factorization v1.15 |
18988.28 | 18916.01 | 34 | 621 | 5,072 | Random-base WEP Factorization v1.15 |
18983.89 | 18914.81 | 32 | 591 | 4,832 | Random-base WEP Factorization v1.15 |
18986.49 | 18916.61 | 32 | 580 | 4,738 | Random-base WEP Factorization v1.15 |
18986.63 | 18915.00 | 32 | 583 | 4,766 | Random-base WEP Factorization v1.15 |
18980.54 | 18911.85 | 32 | 586 | 4,787 | Random-base WEP Factorization v1.15 |
18986.13 | 18915.27 | 32 | 579 | 4,732 | Random-base WEP Factorization v1.15 |
18976.45 | 18910.63 | 32 | 584 | 4,769 | Random-base WEP Factorization v1.15 |
18989.31 | 18914.68 | 31 | 572 | 4,670 | Random-base WEP Factorization v1.15 |
18990.30 | 18918.11 | 31 | 571 | 4,669 | Random-base WEP Factorization v1.15 |
18985.25 | 18914.82 | 31 | 571 | 4,667 | Random-base WEP Factorization v1.15 |
18985.04 | 18915.80 | 32 | 576 | 4,709 | Random-base WEP Factorization v1.15 |
18985.94 | 18914.06 | 31 | 567 | 4,633 | Random-base WEP Factorization v1.15 |
18991.01 | 18913.36 | 31 | 567 | 4,631 | Random-base WEP Factorization v1.15 |
18993.09 | 18917.62 | 31 | 563 | 4,598 | Random-base WEP Factorization v1.15 |
18986.05 | 18912.87 | 31 | 560 | 4,573 | Random-base WEP Factorization v1.15 |
18983.42 | 18914.06 | 31 | 566 | 4,624 | Random-base WEP Factorization v1.15 |
18987.48 | 18914.78 | 31 | 572 | 4,672 | Random-base WEP Factorization v1.15 |
18,985.80 | 18,914.69 | 32 | 583 | 4,764 | Averages for Amlogic S805 (ARM Cortex-A5 in Odroid-C1), 5.1 Watt tdp, 4 WU per proc |
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#24 pi4 OC
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
3186.27 | 3167.24 | 37 | 3,961 | 15,004 | Random-base WEP Factorization v1.16 |
3180.12 | 3165.30 | 37 | 3,971 | 15,042 | Random-base WEP Factorization v1.16 |
3207.17 | 3168.65 | 36 | 3,889 | 14,731 | Random-base WEP Factorization v1.16 |
2961.43 | 2933.81 | 34 | 3,909 | 14,809 | Random-base WEP Factorization v1.16 |
3175.27 | 3166.01 | 34 | 3,733 | 14,141 | Random-base WEP Factorization v1.16 |
3181.87 | 3166.38 | 35 | 3,811 | 14,437 | Random-base WEP Factorization v1.16 |
3193.00 | 3167.30 | 34 | 3,645 | 13,808 | Random-base WEP Factorization v1.16 |
3198.40 | 3168.13 | 37 | 3,948 | 14,956 | Random-base WEP Factorization v1.16 |
3188.79 | 3166.09 | 37 | 3,969 | 15,034 | Random-base WEP Factorization v1.16 |
3200.98 | 3167.28 | 35 | 3,803 | 14,404 | Random-base WEP Factorization v1.16 |
3182.41 | 3165.17 | 36 | 3,938 | 14,916 | Random-base WEP Factorization v1.16 |
3179.40 | 3164.74 | 35 | 3,836 | 14,530 | Random-base WEP Factorization v1.16 |
3219.28 | 3168.73 | 35 | 3,776 | 14,302 | Random-base WEP Factorization v1.16 |
3186.59 | 3166.01 | 36 | 3,898 | 14,765 | Random-base WEP Factorization v1.16 |
3190.95 | 3167.45 | 37 | 3,973 | 15,048 | Random-base WEP Factorization v1.16 |
3177.05 | 3164.34 | 35 | 3,857 | 14,611 | Random-base WEP Factorization v1.16 |
3182.52 | 3166.30 | 37 | 3,971 | 15,043 | Random-base WEP Factorization v1.16 |
3222.45 | 3170.21 | 36 | 3,909 | 14,807 | Random-base WEP Factorization v1.16 |
3181.05 | 3165.98 | 36 | 3,921 | 14,852 | Random-base WEP Factorization v1.16 |
3185.70 | 3165.66 | 36 | 3,955 | 14,982 | Random-base WEP Factorization v1.16 |
3,179.04 | 3,155.04 | 36 | 3,884 | 14,711 | Averages for pi4oc, 11W, 4 WU per proc |
I think this is fool-proof but could you just try it for me please? • There are 10 types of people in the world; those who understand binary, and those who don’t
- Dirk Broer
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#25 Re: Benchmarks
I thought WEP-M+2 to have a bandwidth dependency, due to the much higher results when switching (how apt) from a 100 Mbit switch to a Gigabyte switch.
But the new benchmark figures show that it is far more likely that the Formula Boinc Battle between TSBT and P3D has lead to huge numbers of WUs to get verified against...
Averages for Asus Tinker Board S @1800MHz, 5 Watt (real) power draw, 4 WUs per processor.
Compared to DavidBAM's Pi4 benchmarks, the quad-core 32-bit flagship gets totally clobbered against its quad-core 64-bit opponent.
But the new benchmark figures show that it is far more likely that the Formula Boinc Battle between TSBT and P3D has lead to huge numbers of WUs to get verified against...
Averages for Asus Tinker Board S @1800MHz, 5 Watt (real) power draw, 4 WUs per processor.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
11241.71 | 11187.64 | 28 | 868 | 7,237 | Random-base WEP Factorization v1.15 |
11245.32 | 11184.64 | 28 | 867 | 7,225 | Random-base WEP Factorization v1.15 |
11248.51 | 11187.32 | 28 | 860 | 7,164 | Random-base WEP Factorization v1.15 |
11242.07 | 11186.05 | 29 | 880 | 7,332 | Random-base WEP Factorization v1.15 |
11242.54 | 11185.72 | 28 | 858 | 7,152 | Random-base WEP Factorization v1.15 |
11246.00 | 11184.19 | 28 | 855 | 7,124 | Random-base WEP Factorization v1.15 |
11246.96 | 11186.63 | 28 | 866 | 7,216 | Random-base WEP Factorization v1.15 |
11244.12 | 11186.89 | 28 | 872 | 7,269 | Random-base WEP Factorization v1.15 |
11238.35 | 11184.84 | 28 | 862 | 7,181 | Random-base WEP Factorization v1.15 |
11246.23 | 11184.49 | 28 | 868 | 7,234 | Random-base WEP Factorization v1.15 |
11248.42 | 11186.33 | 28 | 856 | 7,131 | Random-base WEP Factorization v1.15 |
11245.32 | 11184.94 | 31 | 953 | 7,939 | Random-base WEP Factorization v1.15 |
11245.03 | 11187.03 | 29 | 878 | 7,320 | Random-base WEP Factorization v1.15 |
11244.79 | 11185.76 | 29 | 888 | 7,402 | Random-base WEP Factorization v1.15 |
11241.93 | 11185.05 | 31 | 965 | 8,039 | Random-base WEP Factorization v1.15 |
11235.58 | 11185.45 | 29 | 892 | 7,431 | Random-base WEP Factorization v1.15 |
11225.61 | 11183.56 | 29 | 898 | 7,481 | Random-base WEP Factorization v1.15 |
11219.51 | 11183.59 | 27 | 844 | 7,031 | Random-base WEP Factorization v1.15 |
11220.19 | 11184.02 | 29 | 905 | 7,541 | Random-base WEP Factorization v1.15 |
11219.68 | 11183.15 | 28 | 858 | 7,146 | Random-base WEP Factorization v1.15 |
11,239.39 | 11,185.36 | 29 | 880 | 7,330 | Averages for RockChip RK3288 (Quad-core Cortex-A17), 5 Watt powerdraw, 4 WUs per proc |
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#26 Re: Benchmarks
But how does my 64-bit flagship do under the new switch?
Odroid-N2+ (Amlogic S922X with 4x Cortex-A73 + 2x Cortex-A53) running 64-bit Armbian Buster, 6.2 Watt power draw, 6 WUs per proc, four Cortex-A73 cores running @2400 MHz, two Cortex-A53 cores running @2016 MHz.
Note that it is running the 64-bit v1.16 application, instead of the 32-bit v1.15 in the older benchmark....
Odroid-N2+ (Amlogic S922X with 4x Cortex-A73 + 2x Cortex-A53) running 64-bit Armbian Buster, 6.2 Watt power draw, 6 WUs per proc, four Cortex-A73 cores running @2400 MHz, two Cortex-A53 cores running @2016 MHz.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
3392.08 | 3327.34 | 28 | 4,255 | 28,593 | Random-base WEP Factorization v1.16 |
3464.20 | 3407.25 | 28 | 4,175 | 28,058 | Random-base WEP Factorization v1.16 |
3491.31 | 3426.19 | 29 | 4,287 | 28,808 | Random-base WEP Factorization v1.16 |
3454.00 | 3385.83 | 28 | 4,189 | 28,151 | Random-base WEP Factorization v1.16 |
3424.85 | 3360.78 | 28 | 4,223 | 28,381 | Random-base WEP Factorization v1.16 |
3401.86 | 3336.91 | 28 | 4,238 | 28,480 | Random-base WEP Factorization v1.16 |
3360.20 | 3297.30 | 28 | 4,369 | 29,362 | Random-base WEP Factorization v1.16 |
3612.36 | 3548.22 | 28 | 4,048 | 27,207 | Random-base WEP Factorization v1.16 |
3381.16 | 3307.83 | 28 | 4,281 | 28,768 | Random-base WEP Factorization v1.16 |
3493.17 | 3423.70 | 29 | 4,231 | 28,434 | Random-base WEP Factorization v1.16 |
3430.34 | 3361.81 | 28 | 4,293 | 28,853 | Random-base WEP Factorization v1.16 |
3513.40 | 3446.69 | 29 | 4,244 | 28,518 | Random-base WEP Factorization v1.16 |
3439.68 | 3366.53 | 28 | 4,184 | 28,117 | Random-base WEP Factorization v1.16 |
3428.28 | 3358.89 | 28 | 4,246 | 28,535 | Random-base WEP Factorization v1.16 |
3490.56 | 3420.98 | 28 | 4,210 | 28,296 | Random-base WEP Factorization v1.16 |
3430.41 | 3366.08 | 28 | 4,256 | 28,599 | Random-base WEP Factorization v1.16 |
3466.37 | 3401.61 | 28 | 4,222 | 28,373 | Random-base WEP Factorization v1.16 |
3492.78 | 3429.97 | 28 | 4,191 | 28,168 | Random-base WEP Factorization v1.16 |
3404.68 | 3338.30 | 28 | 4,289 | 28,825 | Random-base WEP Factorization v1.16 |
3493.88 | 3428.63 | 29 | 4,245 | 28,528 | Random-base WEP Factorization v1.16 |
3,453.28 | 3,387.04 | 28 | 4,234 | 28,453 | Averages for Amlogic S922X, 6.2W, 6 WU per proc |
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#27 Re: Benchmarks
Benchmarks for Raspberry Pi 3 Model B (old model with small WiFi chip @1200 MHz) under 64-bit Raspberry Pi OS Bullseye:
3.7 Watt tdp per
400% CPU load (stress --cpu 4) at 730 mA (3.7 W)
found here
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
9379.52 | 9055.97 | 32 | 1,185 | 13,340 | Random-base WEP Factorization v1.16 |
9408.64 | 9058.09 | 33 | 1,203 | 13,543 | Random-base WEP Factorization v1.16 |
9408.38 | 9057.67 | 33 | 1,210 | 13,626 | Random-base WEP Factorization v1.16 |
9393.79 | 9056.92 | 33 | 1,231 | 13,867 | Random-base WEP Factorization v1.16 |
9358.62 | 9055.12 | 34 | 1,247 | 14,039 | Random-base WEP Factorization v1.16 |
6561.24 | 6353.97 | 23 | 1,225 | 13,797 | Random-base WEP Factorization v1.16 |
9354.98 | 9054.05 | 34 | 1,256 | 14,149 | Random-base WEP Factorization v1.16 |
9405.06 | 9055.52 | 34 | 1,248 | 14,057 | Random-base WEP Factorization v1.16 |
9407.44 | 9056.13 | 36 | 1,339 | 15,079 | Random-base WEP Factorization v1.16 |
9407.89 | 9055.79 | 34 | 1,250 | 14,078 | Random-base WEP Factorization v1.16 |
9407.08 | 9055.32 | 35 | 1,276 | 14,364 | Random-base WEP Factorization v1.16 |
9384.14 | 9057.01 | 36 | 1,310 | 14,748 | Random-base WEP Factorization v1.16 |
9381.10 | 9055.93 | 35 | 1,302 | 14,657 | Random-base WEP Factorization v1.16 |
9380.14 | 9055.53 | 34 | 1,236 | 13,916 | Random-base WEP Factorization v1.16 |
9377.08 | 9055.48 | 36 | 1,309 | 14,746 | Random-base WEP Factorization v1.16 |
9558.12 | 9071.37 | 33 | 1,207 | 13,596 | Random-base WEP Factorization v1.16 |
9644.62 | 9073.13 | 35 | 1,242 | 13,982 | Random-base WEP Factorization v1.16 |
9683.08 | 9071.80 | 34 | 1,211 | 13,637 | Random-base WEP Factorization v1.16 |
9643.58 | 9073.88 | 36 | 1,308 | 14,726 | Random-base WEP Factorization v1.16 |
9414.11 | 9056.90 | 34 | 1,258 | 14,163 | Random-base WEP Factorization v1.16 |
9,297.93 | 8,924.28 | 34 | 1,253 | 14,106 | Averages for ARM Cortex-A53, 3.7 Watt tdp, 4 WU per proc |
400% CPU load (stress --cpu 4) at 730 mA (3.7 W)
found here
- Dirk Broer
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#28 Re: Benchmarks
Since I asked Bearnol for a 64-bit OS for 64-bit capable ARM cores -and he immediately replied- the field has changed, at least for Wanless.
Given the rising prices of electricity, can you really afford to run single- or dual-core 32-bit crunchers on this project?
Quad-core 32-bit SBCs compared
Quad-core 64-bit SBCs compared
For the sake of comparison I split the tables into 32- and 64 bit, with the Raspberry Pi 3 Model B featuring in both.
Given the rising prices of electricity, can you really afford to run single- or dual-core 32-bit crunchers on this project?
Quad-core 32-bit SBCs compared
Model | CPU | Number of Cores | Architecture | OS | Credit/day |
---|---|---|---|---|---|
Raspberry Pi Model B+ | ARM11 @1000MHz (OC) | Single Core | Armv6 | 32-bit | 40 |
BeagleBone Black | Cortex-A8 @1000MHz | Single Core | Armv7 | 32-bit | 68 |
Banana Pro | Cortex-A7 @1000MHz | Dual Core | Armv7 | 32-bit | 195 |
Raspberry Pi 2 Model B | Cortex-A7 @1000MHz (OC) | Quad Core | Armv7 | 32-bit | 435 |
Banana Pi M2 | Cortex-A7 @1000MHz | Quad Core | Armv7 | 32-bit | 440 |
Humming Board | Cortex-A9 @1000MHz | Quad Core | Armv7 | 32-bit | 495 |
Raspberry Pi 3 Model B | Cortex-A53 @1200MHz | Quad Core | Armv8 | 32-bit | 550 |
Odroid-C1 | Cortex-A5 @1500MHz | Quad Core | Armv7 | 32-bit | 580 |
Tinker Board S | Cortex-A17 @1800MHz | Quad Core | Armv7 | 32-bit | 975 |
Model | CPU | Number of Cores | Architecture | OS | Credit/day |
---|---|---|---|---|---|
Raspberry Pi3 Model B | Cortex-A53 @1200MHz | Quad Core | Armv8 | 64-bit | 1130 |
Odroid-M1 | Cortex-A55 @1992MHz | Quad Core | Armv8 | 64-bit | 2000 |
Jetson Nano | Cortex-A57 @1400MHz | Quad Core | Armv8 | 64-bit | 2450 |
Raspberry Pi4 Model B | Cortex-A72 @2000MHz (OC) | Quad Core | Armv8 | 64-bit | 3300 |
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#29 Re: Benchmarks
The new Odroid-M1, running Debian 11 with kernel 5.18 -installed straight from the internet:
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
5448.67 | 5407.24 | 32 | 2,040 | 19,317 | Random-base WEP Factorization v1.16 |
5447.62 | 5406.30 | 32 | 2,052 | 19,435 | Random-base WEP Factorization v1.16 |
5453.06 | 5410.40 | 32 | 2,008 | 19,019 | Random-base WEP Factorization v1.16 |
5449.94 | 5408.13 | 32 | 2,044 | 19,354 | Random-base WEP Factorization v1.16 |
5450.07 | 5409.20 | 32 | 2,033 | 19,252 | Random-base WEP Factorization v1.16 |
5455.83 | 5415.33 | 32 | 2,052 | 19,435 | Random-base WEP Factorization v1.16 |
5455.81 | 5416.50 | 35 | 2,194 | 20,779 | Random-base WEP Factorization v1.16 |
5455.81 | 5415.79 | 32 | 2,029 | 19,214 | Random-base WEP Factorization v1.16 |
5456.72 | 5415.48 | 33 | 2,098 | 19,864 | Random-base WEP Factorization v1.16 |
5438.50 | 5409.90 | 32 | 2,046 | 19,371 | Random-base WEP Factorization v1.16 |
5438.49 | 5409.69 | 37 | 2,333 | 22,097 | Random-base WEP Factorization v1.16 |
5438.53 | 5409.55 | 32 | 2,058 | 19,491 | Random-base WEP Factorization v1.16 |
5436.26 | 5404.45 | 33 | 2,076 | 19,656 | Random-base WEP Factorization v1.16 |
5449.82 | 5402.78 | 33 | 2,065 | 19,559 | Random-base WEP Factorization v1.16 |
5449.83 | 5402.82 | 32 | 2,031 | 19,235 | Random-base WEP Factorization v1.16 |
5449.88 | 5403.33 | 31 | 1,994 | 18,886 | Random-base WEP Factorization v1.16 |
5446.41 | 5402.81 | 32 | 2,038 | 19,301 | Random-base WEP Factorization v1.16 |
5445.42 | 5402.75 | 32 | 2,000 | 18,938 | Random-base WEP Factorization v1.16 |
5445.43 | 5401.83 | 32 | 2,039 | 19,310 | Random-base WEP Factorization v1.16 |
5433.74 | 5392.86 | 31 | 1,989 | 18,834 | Random-base WEP Factorization v1.16 |
5,447.29 | 5,407.36 | 32 | 2,061 | 19,517 | Averages for Odroid-M1 with ARM Cortex-A55@1992MHz, 4.4Watt TDP, 4 WUs per quad-core processor |
- Dirk Broer
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#30 Re: Benchmarks
A more detailed comparison between the various 32-bit ARM SBC's -between the lines the reason why the single- and dual core boards are retired...
(click to enlarge)
The ARM-Cortex-A7 based boards may soon be retired in favour of the more recent 64-bit ARM Cortex-A55 boards (e.g. Banana Pi M5, Odroids C4 and M1, Rock Pi 3A and 3B), as the Odroid M1 gets around 2000 daily credits on WEP-M+2 at the same power draw. And you can run 32-bit apps on a 64-bit board, but not the other way around...
(click to enlarge)
The ARM-Cortex-A7 based boards may soon be retired in favour of the more recent 64-bit ARM Cortex-A55 boards (e.g. Banana Pi M5, Odroids C4 and M1, Rock Pi 3A and 3B), as the Odroid M1 gets around 2000 daily credits on WEP-M+2 at the same power draw. And you can run 32-bit apps on a 64-bit board, but not the other way around...
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#31 Re: Benchmarks
Those so-called 'super coolers' I use, do they help? Let's take -a closer look (Do I hear Chris Barnatt from explaining computers.com?)
First we tackle the Odroid-XU4 with its Xigmatek N881 Porter and 80mm Noctua fan
old values: 14,202.65 — 13,504.81 — 29 — 1,434 — 4,527 (Averages for Odroid-XU4, 13.2 Watt, 8 WUs per proc) under a XU4Q heatsink, aided with a 40mm Noctua fan (the thick 5V version). So, yes we can say that the sturdy Xigmatek does its job. Its USP (Unique Point of Selling) for Odroid-use is that the base is 4x4cm, just like Odroid heatsinks for Odroids-C1, -C1+,-C2,-C4 and -XU4/XU4Q -and the new Odroid-N2L!
How does that other Odroid do now, with its Chinese PCCooler HB-802 cooler, also aided by a 5V 80mm Noctua fan?
That was 19,048.30 — 18,668.80 — 29 — 523 — 4,271 (Averages for Amlogic S805 (ARM Cortex-A5 in Odroid-C1), 5.1 Watt tdp, 4 WUs per proc) in its original tiny heatsink configuration. It looks like a bigger cooling surface, combined with dito fan, does work in your favour.
The Banana Pi M2 then, featuring Austria's chipset cooling pride, the sadly OOP (Out Of Production) Noctua NC-U6 combined with a Noctua 60mm fan
That was 30,121.88 — 28,200.40 — 27 — 308 — 2,568 (Averages for Allwinner A31s (ARM Cortex-A7 in Banana PI M2), 5 Watt tdp, 4 WUs per proc) in its original tiny heatsink configuration. Here yet again the Texas credo 'bigger is better' holds true: larger cooling surface, combined with bigger fan brings you lower temperatures and higher scores.
But....not high enough, when you compare the Credits/KWh values with those of 64-bit boards like the Odroid-N2+ or -M1. So the big coolers are going to move 64-bitwards, beginning with the Noctua NC-U6 and the PCCooler HB-802. Even the Xigmatek N881 Porter might find itself on an Odroid-C4 soon, as that only uses a quarter of the power that an Odroid-XU4 needs.
First we tackle the Odroid-XU4 with its Xigmatek N881 Porter and 80mm Noctua fan
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
13326.81 | 12697.72 | 32 | 1,665 | 5,257 | Random-base WEP Factorization v1.15 |
13313.05 | 12667.75 | 32 | 1,646 | 5,197 | Random-base WEP Factorization v1.15 |
13254.92 | 12608.98 | 32 | 1,662 | 5,246 | Random-base WEP Factorization v1.15 |
13475.04 | 12865.10 | 32 | 1,651 | 5,210 | Random-base WEP Factorization v1.15 |
13362.74 | 12739.61 | 32 | 1,639 | 5,174 | Random-base WEP Factorization v1.15 |
13478.09 | 12900.08 | 33 | 1,673 | 5,282 | Random-base WEP Factorization v1.15 |
13586.01 | 13002.26 | 33 | 1,680 | 5,304 | Random-base WEP Factorization v1.15 |
13194.53 | 12585.16 | 32 | 1,686 | 5,321 | Random-base WEP Factorization v1.15 |
13802.88 | 13257.41 | 33 | 1,632 | 5,153 | Random-base WEP Factorization v1.15 |
13671.81 | 13113.30 | 33 | 1,644 | 5,190 | Random-base WEP Factorization v1.15 |
13729.12 | 13145.19 | 33 | 1,645 | 5,192 | Random-base WEP Factorization v1.15 |
13065.91 | 12445.38 | 33 | 1,760 | 5,556 | Random-base WEP Factorization v1.15 |
13139.83 | 12562.30 | 32 | 1,684 | 5,317 | Random-base WEP Factorization v1.15 |
14113.08 | 13531.27 | 34 | 1,680 | 5,304 | Random-base WEP Factorization v1.15 |
13614.10 | 13056.22 | 34 | 1,733 | 5,470 | Random-base WEP Factorization v1.15 |
13484.33 | 12863.96 | 33 | 1,708 | 5,391 | Random-base WEP Factorization v1.15 |
13315.61 | 12713.01 | 33 | 1,737 | 5,484 | Random-base WEP Factorization v1.15 |
13417.33 | 12739.95 | 33 | 1,682 | 5,311 | Random-base WEP Factorization v1.15 |
13662.48 | 13026.44 | 32 | 1,641 | 5,180 | Random-base WEP Factorization v1.15 |
13193.72 | 12535.01 | 32 | 1,702 | 5,373 | Random-base WEP Factorization v1.15 |
13,460.07 | 12,852.81 | 33 | 1,678 | 5,296 | Averages for Odroid-XU4 with Samsung Exynos5422 (Cortex-A15-big/A7-LITTLE), Power Consumption 13.2 Watt, 8 WUs per proc |
How does that other Odroid do now, with its Chinese PCCooler HB-802 cooler, also aided by a 5V 80mm Noctua fan?
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
18916.28 | 18902.47 | 32 | 589 | 4,815 | Random-base WEP Factorization v1.15 |
18933.01 | 18902.44 | 33 | 597 | 4,878 | Random-base WEP Factorization v1.15 |
19517.05 | 18990.15 | 34 | 599 | 4,890 | Random-base WEP Factorization v1.15 |
19912.54 | 19054.68 | 33 | 575 | 4,701 | Random-base WEP Factorization v1.15 |
19926.07 | 19056.59 | 34 | 588 | 4,804 | Random-base WEP Factorization v1.15 |
19743.74 | 19028.66 | 34 | 591 | 4,831 | Random-base WEP Factorization v1.15 |
15861.78 | 15379.40 | 27 | 589 | 4,815 | Random-base WEP Factorization v1.15 |
19754.39 | 19033.40 | 35 | 611 | 4,988 | Random-base WEP Factorization v1.15 |
19827.53 | 19042.83 | 34 | 595 | 4,857 | Random-base WEP Factorization v1.15 |
19824.95 | 19043.33 | 34 | 597 | 4,877 | Random-base WEP Factorization v1.15 |
19882.76 | 19049.05 | 33 | 573 | 4,678 | Random-base WEP Factorization v1.15 |
19896.54 | 19052.41 | 34 | 590 | 4,822 | Random-base WEP Factorization v1.15 |
19892.18 | 19055.58 | 35 | 601 | 4,913 | Random-base WEP Factorization v1.15 |
11526.88 | 11023.09 | 20 | 590 | 4,821 | Random-base WEP Factorization v1.15 |
19903.73 | 19053.51 | 35 | 599 | 4,894 | Random-base WEP Factorization v1.15 |
19585.25 | 19003.77 | 32 | 569 | 4,645 | Random-base WEP Factorization v1.15 |
19586.31 | 19005.12 | 33 | 581 | 4,746 | Random-base WEP Factorization v1.15 |
19841.47 | 19046.23 | 33 | 575 | 4,699 | Random-base WEP Factorization v1.15 |
19876.72 | 19048.61 | 34 | 583 | 4,764 | Random-base WEP Factorization v1.15 |
19853.10 | 19044.61 | 32 | 559 | 4,570 | Random-base WEP Factorization v1.15 |
19,103.11 | 18,440.80 | 32 | 588 | 4,800 | Averages for Amlogic S805, Power consumption 5.1 Watt, 4 WUs per proc |
The Banana Pi M2 then, featuring Austria's chipset cooling pride, the sadly OOP (Out Of Production) Noctua NC-U6 combined with a Noctua 60mm fan
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
24833.52 | 24176.14 | 33 | 457 | 3,809 | Random-base WEP Factorization v1.15 |
24839.83 | 24177.04 | 33 | 464 | 3,866 | Random-base WEP Factorization v1.15 |
24860.63 | 24183.54 | 34 | 470 | 3,920 | Random-base WEP Factorization v1.15 |
24801.77 | 24164.98 | 33 | 455 | 3,790 | Random-base WEP Factorization v1.15 |
24808.05 | 24170.51 | 33 | 457 | 3,809 | Random-base WEP Factorization v1.15 |
24833.52 | 24176.14 | 33 | 457 | 3,809 | Random-base WEP Factorization v1.15 |
24839.83 | 24177.04 | 33 | 464 | 3,866 | Random-base WEP Factorization v1.15 |
24860.63 | 24183.54 | 34 | 470 | 3,920 | Random-base WEP Factorization v1.15 |
24801.77 | 24164.98 | 33 | 455 | 3,790 | Random-base WEP Factorization v1.15 |
24808.05 | 24170.51 | 33 | 457 | 3,809 | Random-base WEP Factorization v1.15 |
24833.52 | 24176.14 | 33 | 457 | 3,809 | Random-base WEP Factorization v1.15 |
24839.83 | 24177.04 | 33 | 464 | 3,866 | Random-base WEP Factorization v1.15 |
24860.63 | 24183.54 | 34 | 470 | 3,920 | Random-base WEP Factorization v1.15 |
24801.77 | 24164.98 | 33 | 455 | 3,790 | Random-base WEP Factorization v1.15 |
24808.05 | 24170.51 | 33 | 457 | 3,809 | Random-base WEP Factorization v1.15 |
24833.52 | 24176.14 | 33 | 457 | 3,809 | Random-base WEP Factorization v1.15 |
24839.83 | 24177.04 | 33 | 464 | 3,866 | Random-base WEP Factorization v1.15 |
24860.63 | 24183.54 | 34 | 470 | 3,920 | Random-base WEP Factorization v1.15 |
24801.77 | 24164.98 | 33 | 455 | 3,790 | Random-base WEP Factorization v1.15 |
24808.05 | 24170.51 | 33 | 457 | 3,809 | Random-base WEP Factorization v1.15 |
24,828.76 | 24,174.44 | 33 | 461 | 3,839 | Averages for Allwinner-A31s,Power consumption 5 Watt, 4 WUs per proc |
But....not high enough, when you compare the Credits/KWh values with those of 64-bit boards like the Odroid-N2+ or -M1. So the big coolers are going to move 64-bitwards, beginning with the Noctua NC-U6 and the PCCooler HB-802. Even the Xigmatek N881 Porter might find itself on an Odroid-C4 soon, as that only uses a quarter of the power that an Odroid-XU4 needs.
- Dirk Broer
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#32 Re: Benchmarks
How then does the Rock Pi 4B+ behave? This is as still under stock 4B speeds (1800 MHz for the two Cortex-A72 cores and 1400 MHz for the four Cortex-A53 cores)
Cooling by means of the Radxa 'floor' heatsink, coupled to a 53mm high black-aluminium Radxa case, the whole standing on an old Pentium Pro heatsink tied to the old Odroid-XU4Q heatsink, the lower stand cooled by a 40mm Noctua fan, while on top of the case a 80mm Noctua sucks out the heat. It doesn't get any cooler than that by air (CPUs at 35⁰C under 100% full load). The 10 Watt power consumption is just a wild guess, it might very well be lower. It is just that I haven't found any reliable figures on the net (I found as low as 6 Watt and as high as 19 Watt) and I am unable to measure it myself at the moment.
Overclocking -that is to say setting the RK3399 to OP1 speeds, 2000 MHz for the two Cortex-A72 cores and 1500 MHz for the four Cortex-A53 cores- brings the following values (CPUs at 44⁰C under 100% full load):
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
6176.56 | 5249.57 | 34 | 2,890 | 12,040 | Random-base WEP Factorization v1.16 |
6111.10 | 5155.89 | 35 | 2,950 | 12,293 | Random-base WEP Factorization v1.16 |
6090.03 | 5141.26 | 35 | 2,963 | 12,346 | Random-base WEP Factorization v1.16 |
6169.14 | 5196.30 | 36 | 3,010 | 12,542 | Random-base WEP Factorization v1.16 |
6200.66 | 5250.66 | 36 | 3,048 | 12,701 | Random-base WEP Factorization v1.16 |
6057.84 | 5042.83 | 36 | 3,084 | 12,851 | Random-base WEP Factorization v1.16 |
6166.57 | 5189.27 | 34 | 2,874 | 11,976 | Random-base WEP Factorization v1.16 |
6054.80 | 5057.15 | 37 | 3,141 | 13,089 | Random-base WEP Factorization v1.16 |
6090.65 | 4994.31 | 34 | 2,920 | 12,168 | Random-base WEP Factorization v1.16 |
6138.79 | 5133.87 | 34 | 2,910 | 12,125 | Random-base WEP Factorization v1.16 |
6181.05 | 5156.19 | 34 | 2,869 | 11,955 | Random-base WEP Factorization v1.16 |
6239.00 | 5332.30 | 36 | 3,018 | 12,574 | Random-base WEP Factorization v1.16 |
6017.28 | 4920.32 | 34 | 2,968 | 12,366 | Random-base WEP Factorization v1.16 |
6242.05 | 5331.04 | 36 | 3,029 | 12,620 | Random-base WEP Factorization v1.16 |
6196.57 | 5204.92 | 35 | 2,886 | 12,026 | Random-base WEP Factorization v1.16 |
6308.85 | 5392.15 | 35 | 2,908 | 12,117 | Random-base WEP Factorization v1.16 |
6147.90 | 5091.78 | 34 | 2,878 | 11,991 | Random-base WEP Factorization v1.16 |
6199.44 | 5179.85 | 34 | 2,866 | 11,940 | Random-base WEP Factorization v1.16 |
6210.39 | 5210.67 | 34 | 2,879 | 11,996 | Random-base WEP Factorization v1.16 |
6214.49 | 5198.78 | 33 | 2,745 | 11,439 | Random-base WEP Factorization v1.16 |
6,160.66 | 5,171.46 | 35 | 2,942 | 12,258 | Averages for RK3399 (2 Cortex-A72/4 Cortex-A53), Estimated 10 Watt Power Consumption, 6 WUs per proc |
Overclocking -that is to say setting the RK3399 to OP1 speeds, 2000 MHz for the two Cortex-A72 cores and 1500 MHz for the four Cortex-A53 cores- brings the following values (CPUs at 44⁰C under 100% full load):
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
5603.95 | 4679.49 | 33 | 3,080 | 12,831 | Random-base WEP Factorization v1.16 |
5626.18 | 4718.68 | 34 | 3,089 | 12,873 | Random-base WEP Factorization v1.16 |
5618.12 | 4684.18 | 37 | 3,412 | 14,218 | Random-base WEP Factorization v1.16 |
5622.14 | 4728.07 | 34 | 3,129 | 13,036 | Random-base WEP Factorization v1.16 |
5744.83 | 4898.02 | 30 | 2,704 | 11,265 | Random-base WEP Factorization v1.16 |
5558.32 | 4600.75 | 33 | 3,064 | 12,766 | Random-base WEP Factorization v1.16 |
5516.83 | 4540.75 | 33 | 3,106 | 12,940 | Random-base WEP Factorization v1.16 |
5586.13 | 4655.48 | 33 | 3,097 | 12,903 | Random-base WEP Factorization v1.16 |
5864.89 | 5090.20 | 34 | 2,965 | 12,353 | Random-base WEP Factorization v1.16 |
5528.05 | 4576.42 | 33 | 3,130 | 13,043 | Random-base WEP Factorization v1.16 |
5766.71 | 4925.72 | 32 | 2,874 | 11,975 | Random-base WEP Factorization v1.16 |
5560.42 | 4582.37 | 33 | 3,076 | 12,815 | Random-base WEP Factorization v1.16 |
5584.51 | 4624.06 | 33 | 3,100 | 12,919 | Random-base WEP Factorization v1.16 |
5659.03 | 4753.14 | 33 | 3,035 | 12,645 | Random-base WEP Factorization v1.16 |
5634.49 | 4716.52 | 33 | 3,053 | 12,720 | Random-base WEP Factorization v1.16 |
5664.85 | 4781.76 | 34 | 3,143 | 13,098 | Random-base WEP Factorization v1.16 |
5803.43 | 4986.25 | 33 | 2,974 | 12,390 | Random-base WEP Factorization v1.16 |
5720.04 | 4896.70 | 34 | 3,062 | 12,760 | Random-base WEP Factorization v1.16 |
5502.85 | 4511.68 | 33 | 3,116 | 12,985 | Random-base WEP Factorization v1.16 |
5683.02 | 4783.51 | 34 | 3,067 | 12,778 | Random-base WEP Factorization v1.16 |
5,642.44 | 4,736.69 | 33 | 3,064 | 12,766 | Averages for rk3399, 10W, 6 WU per proc |
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#33 Re: Benchmarks
The nVidia Jetson Xavier NX is a beast, and the yet-to-come-out Jetson Orin NX will be even better:
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
2550.03 | 2373.05 | 28 | 5,741 | 23,921 | Random-base WEP Factorization v1.16 |
2550.81 | 2373.10 | 28 | 5,619 | 23,414 | Random-base WEP Factorization v1.16 |
2550.15 | 2373.38 | 27 | 5,515 | 22,979 | Random-base WEP Factorization v1.16 |
2549.50 | 2372.63 | 29 | 5,866 | 24,442 | Random-base WEP Factorization v1.16 |
2549.97 | 2372.50 | 28 | 5,739 | 23,913 | Random-base WEP Factorization v1.16 |
2553.26 | 2373.78 | 31 | 6,312 | 26,301 | Random-base WEP Factorization v1.16 |
2551.40 | 2373.80 | 29 | 5,854 | 24,390 | Random-base WEP Factorization v1.16 |
2550.25 | 2373.39 | 29 | 5,824 | 24,266 | Random-base WEP Factorization v1.16 |
2548.22 | 2372.75 | 29 | 5,861 | 24,421 | Random-base WEP Factorization v1.16 |
2551.17 | 2373.43 | 29 | 5,852 | 24,384 | Random-base WEP Factorization v1.16 |
2551.42 | 2373.36 | 29 | 5,858 | 24,407 | Random-base WEP Factorization v1.16 |
2548.96 | 2372.62 | 29 | 5,898 | 24,575 | Random-base WEP Factorization v1.16 |
2550.17 | 2372.94 | 29 | 5,854 | 24,394 | Random-base WEP Factorization v1.16 |
2548.96 | 2373.04 | 29 | 5,861 | 24,422 | Random-base WEP Factorization v1.16 |
2550.65 | 2373.21 | 29 | 5,866 | 24,440 | Random-base WEP Factorization v1.16 |
2548.84 | 2372.98 | 29 | 5,866 | 24,440 | Random-base WEP Factorization v1.16 |
2545.88 | 2372.38 | 29 | 5,836 | 24,316 | Random-base WEP Factorization v1.16 |
2547.39 | 2372.38 | 30 | 6,121 | 25,506 | Random-base WEP Factorization v1.16 |
2548.16 | 2371.84 | 29 | 5,851 | 24,379 | Random-base WEP Factorization v1.16 |
2548.96 | 2372.72 | 30 | 6,020 | 25,083 | Random-base WEP Factorization v1.16 |
2,549.71 | 2,372.96 | 29 | 5,861 | 24,420 | Averages for nVidia Jetson Xavier NX, 10Watt tdp, 6 WUs per proc |
- Dirk Broer
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#34 Re: Benchmarks: The costs of overclocking
The costs of overclocking: Go big, or go home. I decided not only to let my 8GB Pi4 run from an SSD, but also to overclock it to 2200MHz, AND to upgrade the kernel to 6.1 via sudo rpi-update next.
I was greeted by a black screen that was cured with un-commenting the lines in /boot/config.txt
hdmi_force_hotplug=1
config_hdmi_boost=4
and changing
dtoverlay=vc4-kms-v3d into dtoverlay=vc4-fkms-v3d -note the added 'f'
After that I got video, but no task panel. Changing the HDMI port cured that.
The 12.3 Watt needed isn't what I bargained for...
I was greeted by a black screen that was cured with un-commenting the lines in /boot/config.txt
hdmi_force_hotplug=1
config_hdmi_boost=4
and changing
dtoverlay=vc4-kms-v3d into dtoverlay=vc4-fkms-v3d -note the added 'f'
After that I got video, but no task panel. Changing the HDMI port cured that.
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
2908.25 | 2879.99 | 27 | 3,186 | 10,793 | Random-base WEP Factorization v1.16 |
2908.26 | 2879.81 | 27 | 3,187 | 10,796 | Random-base WEP Factorization v1.16 |
2908.26 | 2879.62 | 27 | 3,187 | 10,796 | Random-base WEP Factorization v1.16 |
2908.56 | 2879.80 | 26 | 3,107 | 10,526 | Random-base WEP Factorization v1.16 |
2909.56 | 2880.97 | 27 | 3,168 | 10,731 | Random-base WEP Factorization v1.16 |
2907.66 | 2880.68 | 27 | 3,155 | 10,686 | Random-base WEP Factorization v1.16 |
2908.34 | 2879.91 | 26 | 3,122 | 10,575 | Random-base WEP Factorization v1.16 |
2909.35 | 2880.03 | 27 | 3,199 | 10,837 | Random-base WEP Factorization v1.16 |
2909.36 | 2880.81 | 27 | 3,170 | 10,740 | Random-base WEP Factorization v1.16 |
2909.35 | 2880.56 | 24 | 2,894 | 9,803 | Random-base WEP Factorization v1.16 |
2909.46 | 2880.88 | 25 | 2,920 | 9,891 | Random-base WEP Factorization v1.16 |
2914.80 | 2880.63 | 26 | 3,128 | 10,596 | Random-base WEP Factorization v1.16 |
2914.79 | 2880.69 | 26 | 3,127 | 10,592 | Random-base WEP Factorization v1.16 |
2912.42 | 2881.08 | 26 | 3,117 | 10,560 | Random-base WEP Factorization v1.16 |
2911.42 | 2880.22 | 24 | 2,883 | 9,767 | Random-base WEP Factorization v1.16 |
2905.46 | 2879.17 | 27 | 3,155 | 10,686 | Random-base WEP Factorization v1.16 |
2906.48 | 2880.06 | 27 | 3,153 | 10,682 | Random-base WEP Factorization v1.16 |
2906.48 | 2879.10 | 27 | 3,158 | 10,698 | Random-base WEP Factorization v1.16 |
2896.22 | 2878.34 | 26 | 3,134 | 10,615 | Random-base WEP Factorization v1.16 |
2896.22 | 2879.25 | 26 | 3,062 | 10,372 | Random-base WEP Factorization v1.16 |
2,908.04 | 2,880.08 | 26 | 3,111 | 10,537 | Averages for arm-cortex-a72, 12.3W, 4 WU per proc |
- Dirk Broer
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#35 Re: Benchmarks
I've started a new chapter in benchmarking: I bought myself a power consumption meter, to be able to have the exact wattage that a system runs on.
A Brennenstuhl PM 231 E
So far we had the exact values for runtime, CPU time, and credits and we were able to give the exact Per day/proc score. The Credit per KWh however was an estimate based partly on the wattage, which in practice meant the TDP value of the CPU -if known, such as e.g. with ARM boards.
But in the future I will now be able to report the exact wattage of e.g. an ARM system when running Wanless -or any other project/BOINC platform.
The first competition will be between my best 32-bit boards: The Odroid-C1, the Odroid-XU4, and the ASUS Tinkerboard S on one side versus my worst 64-bit boards on the other side: the Raspberry Pi 3B's (both original version, not 3B+). All losers will be retired in favour of additional better performing 64-bit boards. Pretty expensive buggers though: the 8GB nVidia Jetson Orin Nano devkit and the 16GB Radxa Rock 5B are the most likely candidates.
A Brennenstuhl PM 231 E
So far we had the exact values for runtime, CPU time, and credits and we were able to give the exact Per day/proc score. The Credit per KWh however was an estimate based partly on the wattage, which in practice meant the TDP value of the CPU -if known, such as e.g. with ARM boards.
But in the future I will now be able to report the exact wattage of e.g. an ARM system when running Wanless -or any other project/BOINC platform.
The first competition will be between my best 32-bit boards: The Odroid-C1, the Odroid-XU4, and the ASUS Tinkerboard S on one side versus my worst 64-bit boards on the other side: the Raspberry Pi 3B's (both original version, not 3B+). All losers will be retired in favour of additional better performing 64-bit boards. Pretty expensive buggers though: the 8GB nVidia Jetson Orin Nano devkit and the 16GB Radxa Rock 5B are the most likely candidates.
- Dirk Broer
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#36 Re: Benchmarks
The Odroid-C1, with its Amlogic-S805 eating ~3.8 Watt from the wall, running both BOINC and 5V 80mm Noctua fan cooling its four threads.
How efficient is it?
Despite the lower -but real- power usage parameter, we still see it fall short of the 10,000 Credits/kWh mark by quite a long way...
How efficient is it?
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
18961.97 | 18898.08 | 31 | 556 | 6,101 | Random-base WEP Factorization v1.15 |
18963.76 | 18899.51 | 31 | 572 | 6,275 | Random-base WEP Factorization v1.15 |
18970.81 | 18901.63 | 31 | 568 | 6,230 | Random-base WEP Factorization v1.15 |
18971.05 | 18900.04 | 30 | 548 | 6,008 | Random-base WEP Factorization v1.15 |
18966.34 | 18900.41 | 31 | 562 | 6,166 | Random-base WEP Factorization v1.15 |
18977.77 | 18902.63 | 30 | 552 | 6,056 | Random-base WEP Factorization v1.15 |
18969.15 | 18900.67 | 32 | 577 | 6,327 | Random-base WEP Factorization v1.15 |
18974.56 | 18901.19 | 30 | 555 | 6,089 | Random-base WEP Factorization v1.15 |
18966.95 | 18902.36 | 31 | 570 | 6,254 | Random-base WEP Factorization v1.15 |
18969.00 | 18900.91 | 31 | 572 | 6,273 | Random-base WEP Factorization v1.15 |
18971.81 | 18901.54 | 30 | 554 | 6,070 | Random-base WEP Factorization v1.15 |
18966.46 | 18900.95 | 31 | 569 | 6,238 | Random-base WEP Factorization v1.15 |
18971.40 | 18900.48 | 31 | 573 | 6,278 | Random-base WEP Factorization v1.15 |
18967.72 | 18901.42 | 30 | 555 | 6,087 | Random-base WEP Factorization v1.15 |
18965.77 | 18900.98 | 30 | 554 | 6,074 | Random-base WEP Factorization v1.15 |
18968.51 | 18901.12 | 31 | 568 | 6,225 | Random-base WEP Factorization v1.15 |
18972.63 | 18899.99 | 31 | 562 | 6,166 | Random-base WEP Factorization v1.15 |
18965.72 | 18901.38 | 32 | 590 | 6,470 | Random-base WEP Factorization v1.15 |
18968.46 | 18899.94 | 31 | 558 | 6,113 | Random-base WEP Factorization v1.15 |
18972.60 | 18902.17 | 31 | 565 | 6,194 | Random-base WEP Factorization v1.15 |
18,969.12 | 18,900.87 | 31 | 564 | 6,185 | Averages for Odroid-C1 with Amlogic S805 (ARM Cortex-A5), Real Power consumption 3.8 Watt (including 5V Noctua 80mm fan), 4 WUs per proc |
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#37 Re: Benchmarks
Argh! -As the pirate said-, they're not gonna like me at ASUS headquarters...The power consumption of their Tinker Board S negates its otherwise good (32-bit-wise) daily scores. Their marketing department claimed 1A was all that was needed, which coupled to a 5V PSU would give 5 Watt (Volt x Ampère = Watt), only it is 9.3 Watt, so 1.86 Amps....
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
12352.29 | 12283.83 | 33 | 924 | 4,139 | Random-base WEP Factorization v1.15 |
12345.46 | 12268.21 | 33 | 930 | 4,167 | Random-base WEP Factorization v1.15 |
12323.99 | 12251.64 | 33 | 914 | 4,096 | Random-base WEP Factorization v1.15 |
12315.44 | 12240.30 | 33 | 917 | 4,108 | Random-base WEP Factorization v1.15 |
12315.45 | 12250.17 | 33 | 916 | 4,104 | Random-base WEP Factorization v1.15 |
12321.86 | 12255.97 | 33 | 934 | 4,186 | Random-base WEP Factorization v1.15 |
12341.53 | 12275.76 | 33 | 920 | 4,123 | Random-base WEP Factorization v1.15 |
12424.64 | 12352.31 | 33 | 917 | 4,106 | Random-base WEP Factorization v1.15 |
12435.42 | 12368.61 | 34 | 947 | 4,243 | Random-base WEP Factorization v1.15 |
12465.45 | 12398.07 | 35 | 962 | 4,310 | Random-base WEP Factorization v1.15 |
12505.48 | 12439.87 | 35 | 958 | 4,290 | Random-base WEP Factorization v1.15 |
12524.95 | 12453.15 | 35 | 972 | 4,355 | Random-base WEP Factorization v1.15 |
12556.91 | 12481.52 | 34 | 943 | 4,226 | Random-base WEP Factorization v1.15 |
12574.36 | 12499.64 | 33 | 911 | 4,082 | Random-base WEP Factorization v1.15 |
12577.13 | 12504.25 | 35 | 949 | 4,253 | Random-base WEP Factorization v1.15 |
12546.29 | 12483.03 | 35 | 960 | 4,302 | Random-base WEP Factorization v1.15 |
12519.38 | 12450.03 | 35 | 953 | 4,268 | Random-base WEP Factorization v1.15 |
12438.84 | 12356.67 | 33 | 920 | 4,122 | Random-base WEP Factorization v1.15 |
12420.67 | 12344.14 | 35 | 985 | 4,412 | Random-base WEP Factorization v1.15 |
12418.48 | 12345.68 | 33 | 925 | 4,144 | Random-base WEP Factorization v1.15 |
12,436.20 | 12,365.14 | 34 | 938 | 4,202 | Averages for Asus Tinker Board S (Quad Cortex-A17 RK3288), 9.3 Real Watts Tdp (including 40mm 52Pi Ice Tower cooler), 4 WUs per proc |
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#38 Re: Benchmarks
As my Odroid-M1 lost connection when the Tinker Board was decommissioned, I grabbed the chance to measure the M1.
So, that's better -but not as good as I had hoped for the M1....
Edit: Just before I disconnected the Brennenstuhl-o-meter I discovered that the watts for the M1 had stabilized to a 'mere' 6.9 Watt, still a far cry from the figures quoted by the Hardkernel marketing staff (4.4 Watt)...
Run Time | CPU Time | Credit | Per day/proc | Credit per kWH | Application |
---|---|---|---|---|---|
5437.58 | 5399.97 | 33 | 2,109 | 12,208 | Random-base WEP Factorization v1.16 |
5439.70 | 5400.91 | 33 | 2,093 | 12,115 | Random-base WEP Factorization v1.16 |
5436.57 | 5398.51 | 33 | 2,088 | 12,081 | Random-base WEP Factorization v1.16 |
5432.49 | 5394.96 | 34 | 2,169 | 12,550 | Random-base WEP Factorization v1.16 |
5432.14 | 5394.21 | 33 | 2,104 | 12,176 | Random-base WEP Factorization v1.16 |
5432.57 | 5394.76 | 33 | 2,080 | 12,039 | Random-base WEP Factorization v1.16 |
5431.03 | 5394.19 | 33 | 2,097 | 12,134 | Random-base WEP Factorization v1.16 |
5431.68 | 5394.26 | 34 | 2,192 | 12,685 | Random-base WEP Factorization v1.16 |
5431.88 | 5392.79 | 33 | 2,124 | 12,290 | Random-base WEP Factorization v1.16 |
5430.88 | 5393.01 | 33 | 2,104 | 12,175 | Random-base WEP Factorization v1.16 |
5423.21 | 5395.48 | 34 | 2,135 | 12,354 | Random-base WEP Factorization v1.16 |
5435.45 | 5396.93 | 34 | 2,131 | 12,334 | Random-base WEP Factorization v1.16 |
5436.85 | 5398.20 | 34 | 2,150 | 12,445 | Random-base WEP Factorization v1.16 |
5435.48 | 5397.13 | 33 | 2,127 | 12,308 | Random-base WEP Factorization v1.16 |
5437.06 | 5399.17 | 33 | 2,118 | 12,257 | Random-base WEP Factorization v1.16 |
5417.59 | 5395.49 | 35 | 2,253 | 13,035 | Random-base WEP Factorization v1.16 |
5432.63 | 5394.50 | 33 | 2,124 | 12,292 | Random-base WEP Factorization v1.16 |
5417.20 | 5395.85 | 33 | 2,076 | 12,014 | Random-base WEP Factorization v1.16 |
5419.47 | 5397.55 | 33 | 2,096 | 12,130 | Random-base WEP Factorization v1.16 |
5419.08 | 5396.80 | 34 | 2,157 | 12,482 | Random-base WEP Factorization v1.16 |
5,430.53 | 5,396.23 | 33 | 2,126 | 12,305 | Averages for Odroid-M1 with RK3568 (quad-core Cortex-A55), 7.2 Watts real Tdp, 4 WUs per proc |
Edit: Just before I disconnected the Brennenstuhl-o-meter I discovered that the watts for the M1 had stabilized to a 'mere' 6.9 Watt, still a far cry from the figures quoted by the Hardkernel marketing staff (4.4 Watt)...