5900X sysbench onednn

AMD Ryzen 9 5900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (3202 BIOS) and Sapphire AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB 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 2103138-SYST-5900XSY95
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March 13 2021
  39 Minutes
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March 13 2021
  42 Minutes
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March 13 2021
  40 Minutes
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5900X sysbench onednn, "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",3.74016,3.74993,3.76791 "2",3.77742,3.77276,3.76303 "3",3.72834,3.79808,3.78455 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",8.64418,8.6342,8.60314 "2",7.52638,7.54006,7.53529 "3",7.56275,7.53238,7.50579 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",1.07568,1.0647,1.0686 "2",1.06512,1.07107,1.07325 "3",1.06254,1.0723,1.0759 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",0.518688,0.526983,0.527827 "2",0.516022,0.531337,5.73653,0.521698,0.509366,0.529012,0.518001,0.515967,0.512176,0.497016,0.525671,0.513729,0.502979,0.500142,0.503595 "3",0.518855,0.522348,0.511358 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",16.1464,16.2608,16.1749 "2",15.7121,15.7114,15.7367 "3",15.6715,15.7372,15.6884 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",5.38152,5.52666,5.23632,5.89485,4.8354,4.57685,5.63481,4.50512,6.44553,5.16727,6.93411,6.32295 "2",5.39811,6.59236,5.17059,4.9253,6.88972,5.64596,4.49048,5.23646,4.11724,4.98198,4.79664,4.61286,6.03984,5.85956,5.04991 "3",6.30687,6.31906,4.85975,5.05564,6.43941,4.71391,4.23185,5.51612,5.22178,4.53213,5.53284,5.93706,4.52294,5.64187,4.46901 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4.29122,4.28162,4.265 "2",4.25549,4.2858,4.25742 "3",4.2737,4.29243,4.28606 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",17.328,17.3663,17.3681 "2",16.3003,16.5503,16.5464 "3",16.6231,16.3177,16.5427 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",1.31096,1.32765,1.31025 "2",1.31054,1.29964,1.31801 "3",1.30366,1.30907,1.32991 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.01111,2.01807,2.01922 "2",2.00979,2.01126,2.01856 "3",2.00514,2.01281,2.0098 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",2883.4,2870.41,2917.96 "2",2912.2,2874.94,2890.46 "3",2901.13,2928.62,2887.4 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",1679.13,1669.79,1667.24 "2",1683.09,1683.89,1701.84 "3",1698.19,1669.19,1670.57 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2882.28,2930.7,2899.16 "2",2920.64,2896.08,2887.38 "3",2946.25,2890.91,2937.68 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",1709.77,1702.79,1708.57 "2",1696.11,1693.1,1705.71 "3",1696.25,1685.76,1722.12 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",0.758677,0.763283,0.758583 "2",0.755559,0.760762,0.760148 "3",0.75297,0.769538,0.758674 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",2894.12,2907.02,2892.58 "2",2855.63,2861.15,2904.09 "3",2859.94,2891.98,2873.93 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",1683.11,1737.52,1671.47 "2",1702.08,1698.59,1704.8 "3",1701.33,1691.2,1686.89 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",1.74059,1.7415,1.7404 "2",1.73892,1.74142,1.74186 "3",1.73932,1.74031,1.74172 "Sysbench 1.0.20 - Test: RAM / Memory", Higher Results Are Better "1",13927.97,13975.31,13947.03 "2",13952.52,13913.81,13912.6 "3",13942.19,13886.58,13925.18 "Sysbench 1.0.20 - Test: CPU", Higher Results Are Better "1",68605.54,68434.58,68386.84 "2",68505.12,68387.05,68373.14 "3",68515.37,68379.64,68371.67