3700X More march, "Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 192 Cells Per Direction", Lower Results Are Better "1",316.745483,317.178772,320.709808 "2",316.111206,316.621033,316.854584 "3",316.315308,317.232483,317.472076 "Sysbench 1.0.20 - Test: CPU", Higher Results Are Better "1",17386.86,17391.33,17371.8 "2",17276.49,17363.32,17386 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3860.23,3905.39,3854.64 "2",3927.59,3937.79,3951.01 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",3885.31,3840.85,3848.16 "2",3914.43,3922.86,3920.3 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",3903.06,3896.05,3898.56 "2",3975.16,3923.6,3911.7 "3",3819.66,3809.45,3804.27 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2723.26,2755.66,2761.64 "2",2834.56,2809.55,2814.43 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",2772.05,2716.19,2741.19 "2",2817.18,2794.1,2791.82 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",2769.03,2773.56,2733.65 "2",2828.92,2844.33,2818.82 "SVT-HEVC 1.5.0 - Tuning: 1 - Input: Bosphorus 1080p", Higher Results Are Better "1",7.67,7.62,7.59 "2",7.61,7.59,7.56 "3",7.66,7.59,7.57 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",8.9668,8.99107,9.01948 "2",9.0385,9.02372,7.77679,8.98335,9.0029,9.0018,8.94332,8.94229,8.96348,8.98409,6.89297,8.97015,8.99878,8.98466,8.06938 "3",9.06255,9.27012,7.07248,8.96943,8.97486,9.01347,9.00145,9.01546,9.02332,9.01919,8.99052,6.3449,8.99183,8.99572,8.96636 "Timed Mesa Compilation 21.0 - Time To Compile", Lower Results Are Better "1",55.902,55.876,55.87 "2",55.587,55.381,55.708 "3",55.875,55.724,55.674 "Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 129 Cells Per Direction", Lower Results Are Better "1",40.3874245,40.2646484,40.3879585 "2",40.5475388,40.3847923,40.5058327 "3",41.1620178,40.4511337,40.5425491 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.62207,2.63463,2.63385 "2",2.61855,2.6309,2.62627 "3",52.2762,42.3726,2.63617,2.62438,2.62564,2.63259,20.8521,2.63558,2.63397,2.63879,2.63391,2.63673 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3.62375,3.64881,3.64673 "2",3.64391,3.65294,3.6375 "3",3.61999,3.64918,3.65875 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",5.61075,5.54684,5.54385 "2",5.50799,5.54811,5.54002 "3",5.51972,5.53248,5.55093 "SVT-VP9 0.3 - Tuning: VMAF Optimized - Input: Bosphorus 1080p", Higher Results Are Better "1",133.11,138.13,138.56 "2",87.25,138.52,137.72,138.64,138.86,138.02,139.27,137.93,138.16,138.36,138.33,139.04 "3",101.76,138.13,139.03,139.45,137.3,138.25,139.04,138.75,138.83,137.92,139.35,138.45 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4.81895,4.85338,4.81104 "2",4.96457,4.94977,4.91997 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3.05384,3.06038,3.05559 "2",3.06622,3.06876,3.06803 "Sysbench 1.0.20 - Test: RAM / Memory", Higher Results Are Better "1",10296.46,10280.24,10291.31 "2",10231.46,10291.32,10307.93 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",10.1857,10.287,10.2272 "2",10.7256,10.7879,10.7064 "3",10.9484,10.9405,10.9671 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.40294,2.38995,2.36581 "2",2.67295,2.69342,2.69844 "3",2.45271,2.46214,2.46804 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",23.0378,23.0407,23.0354 "2",23.0604,23.159,23.0634 "3",22.94,22.9556,22.9659 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",20.9753,21.1125,21.0874 "2",21.514,21.5,21.551 "3",21.2723,21.2822,21.1795 "SVT-HEVC 1.5.0 - Tuning: 7 - Input: Bosphorus 1080p", Higher Results Are Better "1",106.25,106.21,106.1 "2",105.26,106.03,106.19 "3",105.49,106.14,106.14 "SVT-VP9 0.3 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p", Higher Results Are Better "1",114.1,114.28,114.78 "2",114.62,114.28,114.44 "3",114.09,115,113.43 "SVT-VP9 0.3 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p", Higher Results Are Better "1",143.46,142.84,143.42 "2",143.23,144.28,143.01 "3",142.99,143.78,143.26 "SVT-HEVC 1.5.0 - Tuning: 10 - Input: Bosphorus 1080p", Higher Results Are Better "1",209.86,209.06,208.84 "2",208.91,208.99,209.72 "3",209.57,210.23,208.55 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",6.7085,6.68771,6.6955 "2",6.71957,6.75885,6.76744 "3",6.75004,6.73405,6.72264 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",4.61968,4.61625,4.63268 "2",4.65112,4.65502,4.62404 "3",4.65289,4.62049,4.63655