test6

KVM testing on Debian 11 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 2211242-NE-TEST6494992
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2
November 24 2022
  1 Hour, 41 Minutes
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test6, "oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",13.1221,13.3919,13.4164 "oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",15.2999,14.8887,14.4166,16.1372,15.6818,15.1495,14.7467,14.7289,15.3796,16.3153,16.0408,14.5613,16.3712 "oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",79.3746,77.9923,73.5395,73.6917,70.4677,70.5645,71.4414,71.6254,70.7552,70.0976,75.387,79.8203,77.1277,74.1324,71.8338 "oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",170.393,172.277,181.527,186.713,171.689,178.452,169.594,164.285,180.388,174.492,172.812,179.748,172.534,186.971,180.605 "oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2", "oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2", "oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",45.4306,49.4135,46.48,43.0664,44.2314,44.7809,40.3551,44.2928,44.9495,45.069,46.4825,46.285,46.322,45.6864,52.629 "oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",101.938,127.143,97.4701,120.368,107.657,98.3193,111.527,94.3798,94.2829,107.285,92.0581,94.6661,84.6263,137.278,152.475 "oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",26.4397,26.3506,25.3501 "oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",1164.77,1228.81,1216.73,1131.44,1225.91,1170.3,1166.18,1124.76,1200.87,1167.62,1155.38,1166.69,1111.22,1204.51,1156.49 "oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",136.624,123.744,129.138,142.926,131.829,136.79,148.178,141.223,138.347,152.47,123.505,130.395,126.874,134.024,140.792 "oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",53.0212,66.0735,52.8548,51.0519,55.1796,60.5906,54.555,50.658,53.7461,58.1051,53.1964,53.9154,55.79,76.1949,50.1486 "oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",15998.5,17803.1,15997.9,16305.3,15623,16295.1,15091.2,16970.4,16571.2,15890.3,16311.1,16797.5 "oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",7813,7808.89,7591.51 "oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",17580.6,16258.4,17026.3,16717.8,16924.8,16737.9,16578.1 "oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2", "oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2", "oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2", "oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",7774.03,7750.26,7746.35 "oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",6.34913,6.38413,6.65294,6.32447 "oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",16284.2,16136.9,16718.1 "oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",7667.91,7805.21,7635 "oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",21.6181,28.0513,20.6017,19.8569,26.5033,20.8779,19.2528,20.5866,21.0553,22.0025,20.4131,19.113,19.6733,19.6523,19.6598 "oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "HP ProLiant DL160 Gen9 Xeon E5-2630 V4 x2",