TR 3960X WK, "Mlpack Benchmark - Benchmark: scikit_ica", Lower Results Are Better "1",54.139469861984,52.859108924866,53.588717937469 "2",51.839515447617,53.847733259201,52.060949802399 "3",53.817333936691,54.883629322052,54.299300193787 "NCNN 20200916 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "1",21.73,21.67,21.71 "2",21.14,21.47,21.35 "3",21.43,21.25,20.48 "NCNN 20200916 - Target: CPU - Model: vgg16", Lower Results Are Better "1",40.88,41.48,40.95 "2",43.24,42.22,41.45 "3",40.69,41.46,41.84 "NCNN 20200916 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",8.23,8.44,8.38 "2",8.71,8.04,7.93 "3",8.75,8.5,8.13 "NCNN 20200916 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "1",11.8,12.42,11.57 "2",12.58,11.67,12.35 "3",12.38,12.16,12.21 "NCNN 20200916 - Target: Vulkan GPU - Model: squeezenet", Lower Results Are Better "1",6.38,6.1,6.19 "2",6.4,6.31,6.09 "3",6.14,6.09,6.17 "Mlpack Benchmark - Benchmark: scikit_qda", Lower Results Are Better "1",45.28490447998,44.33241891861,45.314866542816 "2",45.677800178528,46.026683807373,46.022891521454 "3",45.927628040314,45.931308031082,45.810789346695 "NCNN 20200916 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "1",28.62,27.68,28.05 "2",29.19,28.58,28.2 "3",28.6,28.33,28.15 "NCNN 20200916 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "1",8.85,8.83,8.69 "2",8.61,8.71,8.6 "3",8.66,8.62,8.78 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "1",8.032,8.098,8.228 "2",8.196,8.229,8.304 "3",8.158,8.246,8.158 "NCNN 20200916 - Target: CPU - Model: mobilenet", Lower Results Are Better "1",17.39,17.25,17.75 "2",16.96,17.6,17.16 "3",17.08,17.34,17.25 "NCNN 20200916 - Target: CPU - Model: blazeface", Lower Results Are Better "1",3.02,2.96,2.94 "2",2.92,2.96,2.92 "3",2.94,2.93,2.96 "NCNN 20200916 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",7.3,7.28,7.25 "2",7.19,7.32,7.2 "3",7.35,7.27,7.38 "NCNN 20200916 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",6.86,6.78,6.82 "2",6.76,6.85,6.74 "3",6.84,6.79,6.94 "NCNN 20200916 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "1",27.85,27.84,27.96 "2",28.47,28,28.14 "3",27.86,28.15,28.19 "NCNN 20200916 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "1",0.9,0.89,0.9 "2",0.89,0.89,0.9 "3",0.88,0.9,0.89 "NCNN 20200916 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "1",12.16,11.88,11.34 "2",11.94,12.47,11.13 "3",11.41,12.51,11.84 "Dolfyn 0.527 - Computational Fluid Dynamics", Lower Results Are Better "1",15.801,15.819,15.824 "2",15.878,15.867,15.834 "3",15.751,15.783,15.581 "NCNN 20200916 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "1",7.32,7.24,7.36 "2",7.27,7.3,7.27 "3",7.37,7.31,7.34 "FFTE 7.0 - N=256, 3D Complex FFT Routine", Higher Results Are Better "1",83971.807178768,83385.881699763,82553.576751862 "2",84203.176609399,83878.391365945,83858.059888444 "3",83806.373863735,82850.352691757,83740.79985266 "NCNN 20200916 - Target: CPU - Model: resnet50", Lower Results Are Better "1",23.4,23.17,23.55 "2",23.52,23.58,23.54 "3",23.29,23.61,23.7 "NCNN 20200916 - Target: CPU - Model: mnasnet", Lower Results Are Better "1",6.64,6.54,6.55 "2",6.48,6.56,6.54 "3",6.56,6.55,6.6 "NCNN 20200916 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "1",80.84,79.96,80.19 "2",80.37,80.58,81.09 "3",80.62,80.11,79.56 "Mlpack Benchmark - Benchmark: scikit_linearridgeregression", Lower Results Are Better "1",1.4220814704895,1.4367837905884,1.4505636692047 "2",1.4481935501099,1.4267988204956,1.4147696495056 "3",1.429417848587,1.4446098804474,1.4279325008392 "BYTE Unix Benchmark 3.6 - Computational Test: Dhrystone 2", Higher Results Are Better "1",43623340.3,46810419.2,45338216.5,47039177.3,46609681.9,46659512.7 "2",45364860.1,46071532.7,45882885.9 "3",46996922.3,46599057,44678040.1 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 1000", Lower Results Are Better "1",635353,635476,633946 "2",635074,639679,635776 "3",638378,639971,638196 "NCNN 20200916 - Target: CPU - Model: alexnet", Lower Results Are Better "1",11.37,11.51,11.6 "2",11.32,11.64,11.71 "3",11.29,11.57,11.74 "Apache CouchDB 3.1.1 - Bulk Size: 100 - Inserts: 1000 - Rounds: 24", Lower Results Are Better "1",109.159,108.032,107.271 "2",107.044,108.429,107.196 "3",108.405,107.906,108.008 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 200", Lower Results Are Better "1",317974,318393,317997 "2",319106,318322,319959 "3",318876,316118,317246 "NCNN 20200916 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "1",3.81,3.84,3.83 "2",3.82,3.82,3.82 "3",3.81,3.8,3.81 "NCNN 20200916 - Target: CPU - Model: resnet18", Lower Results Are Better "1",13.81,13.88,13.97 "2",13.66,14.02,14.15 "3",13.65,14.11,14.13 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100", Lower Results Are Better "1",63520,64001,63870 "2",63350,63540,63685 "3",63555,64008,63536 "Mlpack Benchmark - Benchmark: scikit_svm", Lower Results Are Better "1",19.855820655823,19.727839946747,19.673773527145 "2",19.735104084015,19.77538228035,19.550065279007 "3",19.750029087067,19.67284154892,19.58926987648 "Hierarchical INTegration 1.0 - Test: FLOAT", Higher Results Are Better "1",386872797.88367,387644260.17334,387170154.87255 "2",387474675.50403,387067568.82305,387014133.9601 "3",388308244.95019,389264068.90479,388221605.34882 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100", Lower Results Are Better "1",158965,158233,158909 "2",158890,158950,158832 "3",159345,159132,159286 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "1",130.779,131.275,131.174 "2",131.474,131.507,131.303 "3",131.114,131.637,131.772 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 1000", Lower Results Are Better "1",1585990,1584820,1585290 "2",1592640,1591290,1585740 "3",1588060,1589630,1582580 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 200", Lower Results Are Better "1",127195,127518,126913 "2",127056,127882,127526 "3",127128,127493,127961 "NCNN 20200916 - Target: CPU - Model: squeezenet", Lower Results Are Better "1",16.26,16.45,16.5 "2",16.17,16.63,16.37 "3",16.21,16.41,16.66 "NCNN 20200916 - Target: CPU - Model: googlenet", Lower Results Are Better "1",17.33,17.99,17.96 "2",17.08,18.08,18.08 "3",17.22,17.71,18.4 "GROMACS 2020.3 - Water Benchmark", Higher Results Are Better "1",2.534,2.527,2.526 "2",2.532,2.527,2.525 "3",2.531,2.527,2.524 "NCNN 20200916 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "1",4.44,4.44,4.43 "2",4.43,4.44,4.45 "3",4.44,4.43,4.46 "NCNN 20200916 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "1",3.2,3.2,3.19 "2",3.19,3.2,3.2 "3",3.19,3.2,3.2 "NCNN 20200916 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",4.36,4.35,4.34 "2",4.35,4.35,4.36 "3",4.34,4.37,4.35 "NCNN 20200916 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "1",8.47,8.82,8.61 "2",8.97,8.12,7.66 "3",8.67,7.61,8.94 "NCNN 20200916 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "1",8.83,9.06,10.91 "2",10.53,9.78,9.05 "3",9.36,10.55,10.74