2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and llvmpipe on Ubuntu 20.04 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 2101191-HA-XEONGOLD534
Xeon Gold 5220R 2P 2021,
"LULESH 2.0.3 - ",
Higher Results Are Better
"1",13612.458,14037.143,14085.02
"2",13853.016,15372.692,15414.79,15629.435,14203.283,15468.339,15384.371,15441.309,15496.814,15679.87,15671.031,15650.441,15460.349,15488.276,15473.516
"3",13733.436,15421.295,15541.934,15432.823,15176.887,15670.39,15462.758,14811.686,15504.748,15712.704,15688.67,15682.054,15699.527,15492.647,15556.84
"Mobile Neural Network 1.1.1 - Model: MobileNetV2_224",
Lower Results Are Better
"1",5.328,5.082,5.323
"2",4.846,4.698,4.747
"3",5.007,4.832,4.924,5.205,5.282,5.066,4.597,5.045,4.565,5.023,4.967,4.442,5.036,5.26,5.033
"Algebraic Multi-Grid Benchmark 1.2 - ",
Higher Results Are Better
"1",1089769000,1109234000,1126505000
"2",1174664000,1163066000,1159818000
"3",1187172000,1173931000,1162359000
"Mobile Neural Network 1.1.1 - Model: resnet-v2-50",
Lower Results Are Better
"1",29.778,30.183,29.672
"2",30.26,31.327,31.604
"3",29.96,29.586,31.019,30.839,31.041,31.111,29.92,30.598,31.394,30.12,33.704,31.38,31.649,29.714,31.199
"TNN 0.2.3 - Target: CPU - Model: MobileNet v2",
Lower Results Are Better
"1",388.474,396.021,407.965
"2",385.977,385.7,387.764
"3",386.109,385.86,394.143
"RELION 3.1.1 - Test: Basic - Device: CPU",
Lower Results Are Better
"1",713.431,644.092,646.034,651.278,637.693,640.804,642.251,651.627,646.17
"2",634.826,648.293,643.756
"3",660.53,651.78,651.255
"ONNX Runtime 1.6 - Model: fcn-resnet101-11 - Device: OpenMP CPU",
Higher Results Are Better
"1",111,110,110.5
"2",111.5,109.5,110.5
"3",106.5,109.5,110
"OpenFOAM 8 - Input: Motorbike 60M",
Lower Results Are Better
"1",237.99,238.82,238.18
"2",236.35,234.46,231.84
"3",237.51,237.9,237.37
"Mobile Neural Network 1.1.1 - Model: inception-v3",
Lower Results Are Better
"1",36.81,37.112,36.722
"2",37.881,37.285,37.077
"3",36.168,36.461,37.288,37.713,37.035,36.655,37.075,36.861,37.167,36.808,37.742,36.956,38.172,36.802,36.296
"rav1e 0.4 - Speed: 6",
Higher Results Are Better
"1",1.242,1.209,1.219
"2",1.239,1.241,1.229
"3",1.232,1.241,1.244
"dav1d 0.8.1 - Video Input: Summer Nature 1080p",
Higher Results Are Better
"1",341.9,342.89,334.06
"2",344.31,345.71,342.01
"3",342.39,342.25,345.08
"Mobile Neural Network 1.1.1 - Model: SqueezeNetV1.0",
Lower Results Are Better
"1",8.584,8.75,8.368
"2",8.303,8.4,8.775
"3",7.87,7.82,8.666,8.839,8.497,8.863,8.588,8.621,8.714,8.717,8.591,8.574,8.571,8.384,7.652
"ONNX Runtime 1.6 - Model: yolov4 - Device: OpenMP CPU",
Higher Results Are Better
"1",344.5,349.5,345
"2",348.5,332,345.5
"3",345.5,347.5,343.5
"rav1e 0.4 - Speed: 10",
Higher Results Are Better
"1",2.568,2.576,2.574
"2",2.565,2.586,2.567
"3",2.508,2.563,2.572
"rav1e 0.4 - Speed: 5",
Higher Results Are Better
"1",0.967,0.96,0.966
"2",0.958,0.966,0.96
"3",0.954,0.945,0.966
"dav1d 0.8.1 - Video Input: Summer Nature 4K",
Higher Results Are Better
"1",185.6,189.43,185.15
"2",187.28,182.82,188.32
"3",188.74,187.76,187.17
"rav1e 0.4 - Speed: 1",
Higher Results Are Better
"1",0.355,0.364,0.364
"2",0.364,0.363,0.365
"3",0.363,0.364,0.363
"dav1d 0.8.1 - Video Input: Chimera 1080p 10-bit",
Higher Results Are Better
"1",70.96,70.51,71.01
"2",71.09,70.63,70.81
"3",71.59,71.17,71.26
"ONNX Runtime 1.6 - Model: super-resolution-10 - Device: OpenMP CPU",
Higher Results Are Better
"1",5297.5,5317.5,5341
"2",5309.5,5329,5342
"3",5240.5,5336,5290
"CloverLeaf - Lagrangian-Eulerian Hydrodynamics",
Lower Results Are Better
"1",24.511666059494,25.175924062729,25.675832986832
"2",24.924652099609,24.879051923752,25.089532852173
"3",25.664931058884,24.633438110352,24.607855796814
"Timed Godot Game Engine Compilation 3.2.3 - Time To Compile",
Lower Results Are Better
"1",81.672,83.485,82.045
"2",82.307,84.786,81.665
"3",82.118,83.238,82.613
"LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein",
Higher Results Are Better
"1",16.898,16.643,16.644
"2",18.037,15.603,17.899,17.651,16.684,16.276,16.854,17.419,16.827,17.037,17.037,15.692,15.842,16.276,16.502
"3",17.948,16.716,16.83,16.334,17.889,16.935,17.477,16.865,16.833,15.864,14.631,17.01,17.67,16.009,17.394
"OpenFOAM 8 - Input: Motorbike 30M",
Lower Results Are Better
"1",30.69,30.4,30.41
"2",30.64,30.62,30.59
"3",30.58,30.65,30.47
"Google SynthMark 20201109 - Test: VoiceMark_100",
Higher Results Are Better
"1",534.177,537.009,534.48
"2",536.436,535.782,537.826
"3",535.203,534.896,533.793
"LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: 20k Atoms",
Higher Results Are Better
"1",17.933,18.001,18.166
"2",18.075,18.066,18.132
"3",18.097,18.072,18.019
"dav1d 0.8.1 - Video Input: Chimera 1080p",
Higher Results Are Better
"1",338.73,339.92,336.39
"2",339.12,340.9,336.7
"3",338.57,339.32,338.35
"TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1",
Lower Results Are Better
"1",349.555,349.674,349.79
"2",349.695,349.894,349.855
"3",349.59,349.835,349.691
"Kripke 1.2.4 - ",
Higher Results Are Better
"1",72522590,79689680,75538730,72644750,71127570,74332360,65733700,74721990,86675360,87637050,78464480,79893470
"2",82430730,73666360,65139310,86742660,76833910,76778900,73313290,68925940,78085030,81234400,72637610,81360940,83796860,79952490,65410080
"3",78407780,85727480,78933510,79859820,74011000,81094520,73658620,66028380,74891210,63042740,77086400,73746940
"ONNX Runtime 1.6 - Model: shufflenet-v2-10 - Device: OpenMP CPU",
Higher Results Are Better
"1",6588.5,5201,5131,6500,6502.5,6521,6559.5,6633,6613,6571,6536,6651.5
"2",6566,6582,6599
"3",6611,6613.5,6564
"ONNX Runtime 1.6 - Model: bertsquad-10 - Device: OpenMP CPU",
Higher Results Are Better
"1",401,403,383
"2",404,378,480.5,434.5,389.5,392.5,400,385,405,399,384.5,404.5
"3",434.5,400,381,382,388.5,389.5,423,380.5,405,411.5,381,403
"Mobile Neural Network 1.1.1 - Model: mobilenet-v1-1.0",
Lower Results Are Better
"1",2.849,2.832,2.836
"2",2.806,2.833,3.065
"3",2.721,2.723,2.876,2.831,3.292,2.789,2.775,2.824,2.852,2.719,3.127,3.233,3.246,2.816,2.795
"Quantum ESPRESSO 6.7 - Input: AUSURF112",
Lower Results Are Better
"1",1711.72,1655.52,1807.04,1732.98,1493.55,1658.19,1458.64
"2",1779.42,1550.4,1772.13,1773.67,1657.18,1875.3,1812.65,1785.76,1659.3
"3",1802.3,1707.54,1785.08