Intel Core i7-4960X testing with a MSI X79MA-GD45 (MS-7738) v1.0 (V3.8 BIOS) and AMD FirePro V4800 1GB on Ubuntu 20.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2102057-HA-4960X202146
4960x-2021 ,
"lzbench 1.8 - Test: XZ 0 - Process: Compression",
Higher Results Are Better
"1",
"2",34,33,33
"3",
"lzbench 1.8 - Test: XZ 0 - Process: Decompression",
Higher Results Are Better
"1",
"2",
"3",
"lzbench 1.8 - Test: Zstd 1 - Process: Compression",
Higher Results Are Better
"1",407,407,409
"2",
"3",408,411,411
"lzbench 1.8 - Test: Zstd 1 - Process: Decompression",
Higher Results Are Better
"1",1364,1359,1363
"2",1362,1363,1363
"3",1365,1355,1366
"lzbench 1.8 - Test: Zstd 8 - Process: Compression",
Higher Results Are Better
"1",
"2",
"3",
"lzbench 1.8 - Test: Zstd 8 - Process: Decompression",
Higher Results Are Better
"1",1427,1435,1432
"2",
"3",1438,1431,1428
"lzbench 1.8 - Test: Crush 0 - Process: Compression",
Higher Results Are Better
"1",81,82,83
"2",
"3",83,82,82
"lzbench 1.8 - Test: Crush 0 - Process: Decompression",
Higher Results Are Better
"1",
"2",
"3",472,474,474
"lzbench 1.8 - Test: Brotli 0 - Process: Compression",
Higher Results Are Better
"1",414,415,415
"2",414,415,416
"3",416,415,415
"lzbench 1.8 - Test: Brotli 0 - Process: Decompression",
Higher Results Are Better
"1",
"2",542,546,545
"3",546,546,541
"lzbench 1.8 - Test: Brotli 2 - Process: Compression",
Higher Results Are Better
"1",
"2",
"3",158,154,157
"lzbench 1.8 - Test: Brotli 2 - Process: Decompression",
Higher Results Are Better
"1",632,634,635
"2",
"3",634,615,635
"lzbench 1.8 - Test: Libdeflate 1 - Process: Compression",
Higher Results Are Better
"1",
"2",
"3",199,200,200
"WebP2 Image Encode 20210126 - Encode Settings: Default",
Lower Results Are Better
"1",7.738,7.554,7.604
"2",7.602,7.618,7.666
"3",7.624,7.558,7.663
"WebP2 Image Encode 20210126 - Encode Settings: Quality 75, Compression Effort 7",
Lower Results Are Better
"1",436.471,436.699,436.05
"2",436.492,435.296,435.286
"3",436.565,437.347,436.665
"WebP2 Image Encode 20210126 - Encode Settings: Quality 95, Compression Effort 7",
Lower Results Are Better
"1",792.018,791.112,790.434
"2",787.785,792.95,792.315
"3",788.084,790.416,790.076
"WebP2 Image Encode 20210126 - Encode Settings: Quality 100, Compression Effort 5",
Lower Results Are Better
"1",22.669,22.649,22.695
"2",22.698,22.665,22.59
"3",22.633,22.659,22.594
"WebP2 Image Encode 20210126 - Encode Settings: Quality 100, Lossless Compression",
Lower Results Are Better
"1",1387.007,1386.842,1388.697
"2",1387.608,1387.103,1386.131
"3",1385.497,1386.147,1390.343
"Google SynthMark 20201109 - Test: VoiceMark_100",
Higher Results Are Better
"1",548.187,548.605,548.644
"2",548.268,548.736,547.613
"3",546.61,547.762,547.349
"Gcrypt Library 1.9 - ",
Lower Results Are Better
"1",268.274,269.251,269.033
"2",269.868,267.919,267.485
"3",268.681,267.478,269.624
"QuantLib 1.21 - ",
Higher Results Are Better
"1",1577.9,1544.8,1571.6
"2",1549.6,1579.1,1562.9
"3",1528.9,1551.6,1577.9
"CloverLeaf - Lagrangian-Eulerian Hydrodynamics",
Lower Results Are Better
"1",340.92414879799,341.59438085556,341.96910810471
"2",342.63993382454,344.21791601181,345.42894291878
"3",340.44918704033,339.85808491707,340.35228395462
"Mobile Neural Network 1.1.1 - Model: SqueezeNetV1.0",
Lower Results Are Better
"1",16.323,16.595,15.763
"2",20.231,15.901,16.469,16.551,15.837,17.144,16.812,16.516,16.651
"3",16.62,16.212,16.565
"Mobile Neural Network 1.1.1 - Model: resnet-v2-50",
Lower Results Are Better
"1",96.712,96.815,99.118
"2",97.236,97.156,96.685,97.201,97.195,96.503,97.019,97.099,96.41
"3",97.318,97.24,96.979
"Mobile Neural Network 1.1.1 - Model: MobileNetV2_224",
Lower Results Are Better
"1",11.09,11.656,10.895
"2",11.665,11.141,11.008,10.155,10.391,10.572,10.155,11.437,10.669
"3",11.854,11.361,11.213
"Mobile Neural Network 1.1.1 - Model: mobilenet-v1-1.0",
Lower Results Are Better
"1",16.877,15.899,17.847
"2",14.989,15.631,15.336,15.091,14.934,14.973,15.053,15.323,14.982
"3",14.962,15.27,15.139
"Mobile Neural Network 1.1.1 - Model: inception-v3",
Lower Results Are Better
"1",101.32,101.6,102.252
"2",101.219,103.489,101.869,102.617,102.583,101.928,102.916,102.585,102.777
"3",101.532,101.985,101.557
"ONNX Runtime 1.6 - Model: yolov4 - Device: OpenMP CPU",
Higher Results Are Better
"1",128,128.5,128.5
"2",
"3",128.5,128.5,128.5
"ONNX Runtime 1.6 - Model: bertsquad-10 - Device: OpenMP CPU",
Higher Results Are Better
"1",218.5,219,219
"2",219.5,220,220
"3",219.5,219.5,219.5
"ONNX Runtime 1.6 - Model: fcn-resnet101-11 - Device: OpenMP CPU",
Higher Results Are Better
"1",20.5,20.5,20.5
"2",20.5,20.5,20.5
"3",20.5,20.5,20.5
"ONNX Runtime 1.6 - Model: shufflenet-v2-10 - Device: OpenMP CPU",
Higher Results Are Better
"1",7915.5,7900,7916
"2",6775,7384.5,7944.5,7943.5,7883.5,7920.5,7921,7881.5,7959,7910.5,7889.5,7899.5
"3",7861,7927.5,7943.5
"ONNX Runtime 1.6 - Model: super-resolution-10 - Device: OpenMP CPU",
Higher Results Are Better
"1",1785.5,1779.5,1778.5
"2",1779.5,1776.5,1784
"3",1782,1783.5,1781
"TNN 0.2.3 - Target: CPU - Model: MobileNet v2",
Lower Results Are Better
"1",323.105,321.72,321.732
"2",322.842,323.601,323.149
"3",322.72,322.133,322.869
"TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1",
Lower Results Are Better
"1",314.041,314.255,314.844
"2",313.708,313.291,312.716
"3",312.888,313.77,313.347
"LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein",
Higher Results Are Better
"1",3.005,2.88,2.919
"2",2.725,2.796,2.54,2.761,3.085,2.611,2.825,3.203,3.06,2.763,2.962,3.222
"3",2.971,2.884,3.172,2.678,2.788,2.875,2.927,3.122,2.795,2.782,3.157,3.06,2.505,2.926,3.22
"NAS Parallel Benchmarks 3.4 - Test / Class: EP.C",
Higher Results Are Better
"1",566.58,549,540.64
"2",579.27,575.89,581.61
"3",500.47,593.41,523.34,558.03,581.84,570.16,544.97,550.54,513.3,577.84,549.82,588.11,525.91,562.34,466.29
"NAS Parallel Benchmarks 3.4 - Test / Class: EP.D",
Higher Results Are Better
"1",596.54,570.14,568.05
"2",588.79,592.94,582.84
"3",584.79,574.94,578.04
"NAS Parallel Benchmarks 3.4 - Test / Class: LU.C",
Higher Results Are Better
"1",10874.26,10864.25,10823.75
"2",10906.78,10897.99,10845.16
"3",10829.16,10967.64,11023.02
"ASKAP 1.0 - Test: tConvolve MT - Gridding",
Higher Results Are Better
"1",496.206,431.825,478.878,474.328,507.235,472.504,507.315,431.766,470.278,433.642,480.679,470.417
"2",479.237,445.99,497.287,497.133,494.9,494.287,423.693,509.5,470.972,493.143,496.052,498.84
"3",455.918,498.063,493.524,500.717,497.52,504.114,508.203,497.752,473.414,477.518,498.685,461.449
"ASKAP 1.0 - Test: tConvolve MT - Degridding",
Higher Results Are Better
"1",787.351,779.856,787.157,786.189,788.517,785.223,789.296,780.237,785.223,779.856,786.964,786.189
"2",787.351,778.716,786.964,789.296,787.934,789.687,776.823,789.687,787.157,788.323,787.74,789.102
"3",785.996,789.296,789.491,787.74,790.468,791.055,790.273,789.102,786.382,786.964,789.882,786.382
"ASKAP 1.0 - Test: tConvolve MPI - Degridding",
Higher Results Are Better
"1",979.088,1014.42,955.324,969.442
"2",1004.06,1009.21,1030.35
"3",1019.67,915.334,964.69,993.923,993.923,1009.21,983.984,959.984,1009.21,1009.21,1024.98,1004.06,998.968,979.088
"ASKAP 1.0 - Test: tConvolve MPI - Gridding",
Higher Results Are Better
"1",1087.27,1099.42,1111.85,1105.6
"2",1046.79,1058.05,1111.85
"3",1035.77,1099.42,1111.85,1105.6,1063.77,1105.6,1099.42,1087.27,1087.27,1124.55,1099.42,1099.42,1030.35,1087.27
"ASKAP 1.0 - Test: tConvolve OpenMP - Gridding",
Higher Results Are Better
"1",507.154,509.094,476.308,472.085,473.765,506.19,476.308,430.139,510.069,429.445,435.059,475.457
"2",481.476,515.002,440.821,515.002,512.031,435.771,515.002,484.102,514.008,484.984,517.002,519.018,440.821,441.552,437.921
"3",443.022,484.984,481.476,482.348,520.031,478.878,438.643,442.286,482.348,479.741,437.921,482.348,479.741,487.648,518.008
"ASKAP 1.0 - Test: tConvolve OpenMP - Degridding",
Higher Results Are Better
"1",908.724,908.724,905.633,908.724,905.633,911.836,905.633,893.477,908.724,890.488,893.477,905.633
"2",911.836,911.836,896.485,908.724,908.724,896.485,908.724,908.724,908.724,908.724,911.836,911.836,896.485,896.485,896.485
"3",896.485,908.724,905.633,908.724,908.724,908.724,896.485,899.514,905.633,905.633,896.485,908.724,908.724,905.633,908.724
"ASKAP 1.0 - Test: Hogbom Clean OpenMP",
Higher Results Are Better
"1",83.2639,84.7458,82.9876
"2",84.674,84.317,84.8176
"3",85.1064,85.034,85.3242
"Pennant 1.0.1 - Test: sedovbig",
Lower Results Are Better
"1",219.9891,219.6053,219.3883
"2",220.0373,219.9408,222.33
"3",220.5844,221.1543,221.4502
"Pennant 1.0.1 - Test: leblancbig",
Lower Results Are Better
"1",161.3131,157.7719,159.8197
"2",158.557,158.7714,159.7021
"3",158.3504,157.8717,160.2323
"Algebraic Multi-Grid Benchmark 1.2 - ",
Higher Results Are Better
"1",126167500,126124900,126265700
"2",126349700,126226700,126440600
"3",126440900,124865600,126462500
"Kripke 1.2.4 - ",
Higher Results Are Better
"1",20493340,20979300,20614460
"2",20969740,19898530,19957760
"3",20253870,20603800,20578900
"LULESH 2.0.3 - ",
Higher Results Are Better
"1",943.48374,945.40779,947.79897
"2",954.56305,954.10088,944.98879
"3",965.73769,943.0095,951.10246
"OpenFOAM 8 - Input: Motorbike 30M",
Lower Results Are Better
"1",613.17,612.38,613.38
"2",613.23,612.84,612.22
"3",611.36,612.83,611.83
"QMCPACK 3.10 - Input: simple-H2O",
Lower Results Are Better
"1",54.215,50.914,51.418,56.267,51.457,55.666,52.352,56.783,54.256,52.363,54.27,53.922,52.477,52.171,50.311
"2",52.863,53.744,56.644,51.057,49.707,51.382,49.576,53.635,51.781,51.079,52.484,51.723,53.817,54.739,52.836
"3",52.795,51.828,52.255
"CP2K Molecular Dynamics 8.1 - Fayalite-FIST Data",
Lower Results Are Better
"1",
"2",
"3",
"dav1d 0.8.1 - Video Input: Chimera 1080p",
Higher Results Are Better
"1",294.30002515436,293.00082790166,293.91627601189
"2",295.05829616924,293.65900640293,292.91953807455
"3",293.40851114923,294.5840189801,294.59274785592
"dav1d 0.8.1 - Video Input: Summer Nature 4K",
Higher Results Are Better
"1",72.72701162461,72.671703997732,72.757193081939
"2",72.982889140913,73.074766090162,73.199033172668
"3",73.215043946697,73.102353274738,73.136798979303
"dav1d 0.8.1 - Video Input: Summer Nature 1080p",
Higher Results Are Better
"1",273.75507653061,271.88551020408,271.78946145125
"2",272.5350255102,272.98723639456,273.90170068027
"3",272.79525510204,274.18132086168,273.02973356009
"dav1d 0.8.1 - Video Input: Chimera 1080p 10-bit",
Higher Results Are Better
"1",72.890661024703,73.039557410796,72.780938929552
"2",72.981792086002,73.063172461116,72.998545288198
"3",72.827487419945,72.943689387008,73.112463403476
"rav1e 0.4 - Speed: 1",
Higher Results Are Better
"1",0.198,0.197,0.2
"2",0.199,0.199,0.198
"3",0.2,0.2,0.198
"rav1e 0.4 - Speed: 5",
Higher Results Are Better
"1",0.521,0.522,0.525
"2",0.523,0.525,0.525
"3",0.523,0.523,0.525
"rav1e 0.4 - Speed: 6",
Higher Results Are Better
"1",0.651,0.649,0.652
"2",0.654,0.652,0.658
"3",0.655,0.655,0.652
"rav1e 0.4 - Speed: 10",
Higher Results Are Better
"1",1.772,1.777,1.785
"2",1.781,1.78,1.785
"3",1.802,1.791,1.774
"Timed Godot Game Engine Compilation 3.2.3 - Time To Compile",
Lower Results Are Better
"1",319.653,317.4,317.976
"2",317.57,317.102,317.378
"3",319.384,317.95,317.614
"Redis 6.0.9 - Test: LPOP",
Higher Results Are Better
"1",423858.59,416309.06,423181.06
"2",358604.94,359845.12,358366.75
"3",356063.09,360809.34,355734.91
"Redis 6.0.9 - Test: SADD",
Higher Results Are Better
"1",398173.53,398796.62,398901.59
"2",397884.53,401415.53,401029.19
"3",404203.72,398755.91,399329.81
"Redis 6.0.9 - Test: LPUSH",
Higher Results Are Better
"1",355622.19,352139.72,350449.12
"2",347282.69,345997.91,340564.66
"3",356583.5,354803.19,354349.44
"Redis 6.0.9 - Test: GET",
Higher Results Are Better
"1",413890.16,414116.94,417137.28
"2",411245.47,407696.38,404697.06
"3",410984.03,409837.38,409635.91
"Redis 6.0.9 - Test: SET",
Higher Results Are Better
"1",383630.5,384296.38,377686.53
"2",369822.47,378057.53,381447.66
"3",380222.19,371437.94,379730.09
"GnuPG 2.2.27 - 2.7GB Sample File Encryption",
Lower Results Are Better
"1",80.827,78.501,78.545
"2",80.321,78.395,78.466
"3",79.998,78.481,78.382
"ParaView 5.9 - Test: Wavelet Volume - Resolution: 1280 x 1024",
Higher Results Are Better
"1a",14.13,14,14.11
"2",14.15,14.14,14.19
"3",14.17,14.17,14.18
"ParaView 5.9 - Test: Wavelet Volume - Resolution: 1280 x 1024",
Higher Results Are Better
"1a",226.125,224.052,225.786
"2",226.449,226.278,226.972
"3",226.771,226.64,226.857
"ParaView 5.9 - Test: Wavelet Volume - Resolution: 1920 x 1080",
Higher Results Are Better
"1a",13.78,13.78,13.77
"2",13.8,13.73,13.73
"3",13.71,13.72,13.71
"ParaView 5.9 - Test: Wavelet Volume - Resolution: 1920 x 1080",
Higher Results Are Better
"1a",220.415,220.454,220.347
"2",220.823,219.668,219.752
"3",219.358,219.506,219.351
"ParaView 5.9 - Test: Wavelet Contour - Resolution: 1280 x 1024",
Higher Results Are Better
"1a",14.68,14.68,14.68
"2",14.69,14.69,14.69
"3",14.69,14.69,14.69
"ParaView 5.9 - Test: Wavelet Contour - Resolution: 1280 x 1024",
Higher Results Are Better
"1a",153.027,152.98,152.96
"2",153.055,153.052,153.055
"3",153.051,153.051,153.048
"ParaView 5.9 - Test: Wavelet Contour - Resolution: 1920 x 1080",
Higher Results Are Better
"1a",14.58,14.58,14.57
"2",14.58,14.57,14.57
"3",14.58,14.57,14.57
"ParaView 5.9 - Test: Wavelet Contour - Resolution: 1920 x 1080",
Higher Results Are Better
"1a",151.891,151.891,151.828
"2",151.928,151.813,151.802
"3",151.924,151.815,151.818