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
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