@0002yenak さんのBOINC計算効率 2019年10月 ( #BOINC credits efficiency)

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Host-3109

Microsoft Windows 10 Professional x64 Edition, (10.00.18362.00)
GenuineIntel Intel(R) Core(TM) i7-4770S CPU @ 3.10GHz [Family 6 Model 60 Stepping 3]
GeForce GT 640 (1024MB)
Intel(R) HD Graphics 4600 (1629MB)

プロジェクト名	アプリ名	処理時間(秒)	計算効率(credit/hour)	処理数
NFS@Home	14e Lattice Sieve v1.08 (notphenomiix6)	132138.3	13.7	14
	15e Lattice Sieve v1.08 (notphenomiix6)	161143.5	23.6	24
	16e Lattice Sieve V5 v1.11	578906.9	80.8	100
SETI@Home	SETI@home v8 v8.00 (cuda32)	5872.4	58.3	1
	SETI@home v8 v8.05	477941.7	19.4	40
	SETI@home v8 v8.20 (opencl_intel_gpu_sah)	49067.4	52.2	10
	SETI@home v8 v8.22 (opencl_nvidia_SoG)	6849.9	85.9	2
WUProp@Home	Data collect version 4 v4.20 (nci)	191145.5	2.4	9

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Host-3124

Linux Arch Linux Arch Linux [4.19.80-2-lts|libc 2.30 (GNU libc)]
GenuineIntel Intel(R) Pentium(R) CPU N3700 @ 1.60GHz [Family 6 Model 76 Stepping 3]
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プロジェクト名	アプリ名	処理時間(秒)	計算効率(credit/hour)	処理数
NFS@Home	14e Lattice Sieve v1.10	508909.4	18.8	74
	15e Lattice Sieve v1.10	678458.3	25.4	109
	16e Lattice Sieve V5 v1.10	4127603.6	70.6	623
NumberFields@home	Get Decic Fields v3.00 (default)	5305296.1	16.6	844
WUProp@Home	Data collect version 4 v4.25 (nci)	2678657.1	2.3	124