EPYC 7702 Sunny, "CloverLeaf - Lagrangian-Eulerian Hydrodynamics", Lower Results Are Better "1",18.410206079483,18.585592031479,18.733531951904 "2",20.177227020264,20.512758970261,20.699987888336 "2a",20.873959064484,20.954623937607,20.864202022552 "4",26.675184965134,28.293032884598,26.830159902573,26.068771123886,27.935006856918,26.809950828552,26.879657030106 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: 20k Atoms", Higher Results Are Better "1",24.575,24.66,24.656 "2",24.687,24.586,24.867 "2a",24.313,24.249,24.132 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "1",16.994,19.044,18,17.386,17.803,17.231,19.751,16.907,17.655,17.579,17.087,17.497,24.258 "2",16.881,17.336,19.988,17.312,18.01,17.16,17.517,17.334,17.85,17.887,17.104,17.198 "2a",17.956,17.126,17.414 "LULESH 2.0.3 - ", Higher Results Are Better "1",14487.597,14203.204,14498.611 "2",14576.842,14192.219,14409.179 "2a",14359.045,14316.513,14272.316 "rav1e 0.4 - Speed: 1", Higher Results Are Better "1",0.334,0.33,0.333 "2",0.336,0.332,0.333 "2a",0.336,0.335,0.332 "rav1e 0.4 - Speed: 5", Higher Results Are Better "1",0.91,0.906,0.909 "2",0.909,0.909,0.906 "2a",0.902,0.901,0.906 "rav1e 0.4 - Speed: 6", Higher Results Are Better "1",1.176,1.187,1.17 "2",1.175,1.182,1.177 "2a",1.175,1.172,1.176 "rav1e 0.4 - Speed: 10", Higher Results Are Better "1",2.334,2.365,2.324 "2",2.35,2.354,2.33 "2a",2.342,2.342,2.429 "Timed Godot Game Engine Compilation 3.2.3 - Time To Compile", Lower Results Are Better "1",65.73,66.608,66.644 "2",66.565,66.042,66.288 "2a",66.572,66.544,66.439 "Google SynthMark 20201109 - Test: VoiceMark_100", Higher Results Are Better "1",644.852,643.599,644.951 "2",644.433,644.711,644.802 "2a",643.749,644.157,643.037 "Mobile Neural Network 1.1.1 - Model: SqueezeNetV1.0", Lower Results Are Better "1",7.973,9.915,7.892,8.19,8.196,8.244,8.205,8.358,8.333,7.858,9.902,7.903,8.433,7.772,8.256 "2",8.418,8.23,8.395 "2a",8.425,10.276,8.264,8.273,8.327,8.158,8.382,8.215,7.709,9.618,8.677,11.128,8.344,8.738,8.048 "Mobile Neural Network 1.1.1 - Model: resnet-v2-50", Lower Results Are Better "1",29.715,28.402,28.263,28.25,28.331,28.509,28.086,28.319,28.543,28.553,28.705,28.544,30.285,28.358,28.836 "2",28.323,28.296,29.074 "2a",28.489,28.509,28.492,28.379,28.14,28.146,28.448,28.276,28.072,28.307,28.416,28.179,28.754,28.226,28.273 "Mobile Neural Network 1.1.1 - Model: MobileNetV2_224", Lower Results Are Better "1",5.354,4.941,4.965,5.113,4.965,5.036,4.961,5.094,5.334,5.186,5.264,5.08,5.106,4.949,4.919 "2",5.072,4.966,5.304 "2a",4.972,4.983,5.031,5.049,5.203,4.987,5.37,4.959,5.024,4.99,4.929,4.987,4.905,5.241,5.005 "Mobile Neural Network 1.1.1 - Model: mobilenet-v1-1.0", Lower Results Are Better "1",3.321,3.318,3.342,3.302,3.335,3.423,3.302,3.302,3.382,3.384,3.274,3.284,3.379,3.35,3.269 "2",3.265,3.232,3.188 "2a",3.302,3.244,3.359,3.304,3.305,3.34,3.356,3.312,3.275,3.295,3.258,3.313,3.266,3.341,3.29 "Mobile Neural Network 1.1.1 - Model: inception-v3", Lower Results Are Better "1",41.554,38.83,37.983,38.955,38.343,39.065,38.88,38.896,42.997,38.088,39.126,38.285,38.534,38.433,36.943 "2",37.439,39.806,41.486 "2a",38.073,38.905,38.833,39.461,41.224,38.923,42.637,39.428,39.137,38.469,38.549,38.606,39.407,42.171,39.305 "TNN 0.2.3 - Target: CPU - Model: MobileNet v2", Lower Results Are Better "1",349.299,361.321,350.431 "2",362.238,375.036,370.677 "2a",367.615,363.681,359.977 "TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1", Lower Results Are Better "1",304.26,304.485,304.597 "2",304.861,304.569,304.333 "2a",304.389,305.554,304.513 "ONNX Runtime 1.6 - Model: yolov4 - Device: OpenMP CPU", Higher Results Are Better "1",211.5,213.5,208.5 "2",201,200,201.5 "2a",198.5,198,199.5 "ONNX Runtime 1.6 - Model: bertsquad-10 - Device: OpenMP CPU", Higher Results Are Better "1",268,246,258,256.5,233.5,251.5,255.5,230.5,262,246,246,258.5 "2",236.5,238,239 "2a",229.5,235.5,217.5,245,217.5,232,230.5,227.5,234.5,224.5,236,244 "ONNX Runtime 1.6 - Model: fcn-resnet101-11 - Device: OpenMP CPU", Higher Results Are Better "1",73.5,74,73.5 "2",71.5,71.5,71.5 "2a",70.5,70.5,70 "ONNX Runtime 1.6 - Model: shufflenet-v2-10 - Device: OpenMP CPU", Higher Results Are Better "1",4601,3224.5,5447,4241,5683,4093.5,5042.5,5723,4944,4222,5808,5368.5 "2a",2610.5,3509.5,3625,4325,4259,5128.5,4440.5,3583,3726.5,4624.5,4551.5,5200.5 "ONNX Runtime 1.6 - Model: super-resolution-10 - Device: OpenMP CPU", Higher Results Are Better "1",2096,2149,2235,2147.5 "2a",2119.5,2107,2058