Benchmarks

[davidbam]

Linux-only app so please clarify if your results are from a VM

[Bryan]

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

[Bryan]

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

[OldChap]

Native

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

[Trotador]

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]

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

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

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:
.

[Dirk Broer]

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]

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

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

This Raspberry Pi 4 (8GB model) is cooled with a tower model 52Pi Ice Tower cooler.

[Dirk Broer]

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

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

On top of this the Odroid-N2+ stays cool at 37°C, due to the huge heatsink and (set to 'always-on') 80mm fan.

[Dirk Broer]

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

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

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)

[Dirk Broer]

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.

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

[davidbam]

"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

[Dirk Broer]

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.

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

[davidbam]

I suggest you just delete the first table TBH, perhaps just noting the /kwH figure if TDP is used

[Dirk Broer]

I suggest you just delete the first table TBH, perhaps just noting the /kwH figure if TDP is used

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...

[Dirk Broer]

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

[Dirk Broer]

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

[Dirk Broer]

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

[Dirk Broer]

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.

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

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.

[Miklos M]

For SRBase what is a good running time if it is 2 up on a 2080 ti?

[Miklos M]

For me it is over 23 minutes and still running, seems too slow.

[davidbam]

See the SrBase Benchmarks
viewtopic.php?f=259&t=19996&p=104991#p104991

- this area is for Wanless

[Dirk Broer]

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.

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

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.

[davidbam]

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

[Dirk Broer]

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.

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

Compared to DavidBAM's Pi4 benchmarks, the quad-core 32-bit flagship gets totally clobbered against its quad-core 64-bit opponent.

[Dirk Broer]

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.

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

Note that it is running the 64-bit v1.16 application, instead of the 32-bit v1.15 in the older benchmark....

[Dirk Broer]

Benchmarks for Raspberry Pi 3 Model B (old model with small WiFi chip @1200 MHz) under 64-bit Raspberry Pi OS Bullseye:

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

3.7 Watt tdp per
400% CPU load (stress --cpu 4) at 730 mA (3.7 W)
found here

[Dirk Broer]

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

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

Quad-core 64-bit SBCs compared

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

For the sake of comparison I split the tables into 32- and 64 bit, with the Raspberry Pi 3 Model B featuring in both.

[Dirk Broer]

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]

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...

[Dirk Broer]

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

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

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?

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

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

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

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.

[Dirk Broer]

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)

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

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
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

[Dirk Broer]

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]

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.

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

The 12.3 Watt needed isn't what I bargained for...

[Dirk Broer]

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.

[Dirk Broer]

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?

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

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...

[Dirk Broer]

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

[Dirk Broer]

As my Odroid-M1 lost connection when the Tinker Board was decommissioned, I grabbed the chance to measure the M1.

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

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)...