2022-11-27-0323

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 2211265-NE-20221127025
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Common KVM
November 27 2022
  6 Hours, 19 Minutes
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2022-11-27-0323, "miniBUDE 20210901 - Implementation: OpenMP - Input Deck: BM1", Higher Results Are Better "Common KVM",4.657,5.502,5.419,4.926,5.708,5.635,5.187,5.245,5.817,5.355,5.74,4.983 "miniBUDE 20210901 - Implementation: OpenMP - Input Deck: BM2", Higher Results Are Better "Common KVM",6.704,6.72,6.709 "miniBUDE 20210901 - Implementation: OpenMP - Input Deck: BM1", Higher Results Are Better "Common KVM",116.426,137.543,135.484,123.161,142.705,140.863,129.663,131.13,145.428,133.877,143.508,124.586 "miniBUDE 20210901 - Implementation: OpenMP - Input Deck: BM2", Higher Results Are Better "Common KVM",167.605,168.005,167.722 "FFTW 3.3.6 - Build: Stock - Size: 1D FFT Size 32", Higher Results Are Better "Common KVM",5461.6,5519.1,5519.4 "FFTW 3.3.6 - Build: Stock - Size: 2D FFT Size 32", Higher Results Are Better "Common KVM",5552.1,5561.9,5580.8 "FFTW 3.3.6 - Build: Stock - Size: 1D FFT Size 4096", Higher Results Are Better "Common KVM",4543.9,4561.7,4545.8 "FFTW 3.3.6 - Build: Stock - Size: 2D FFT Size 4096", Higher Results Are Better "Common KVM",2968,3424.4,3457,3441,3465,3480.7,3416.8,3453,3400.1 "FFTW 3.3.6 - Build: Float + SSE - Size: 1D FFT Size 32", Higher Results Are Better "Common KVM",9756.9,9501.4,9742.4 "FFTW 3.3.6 - Build: Float + SSE - Size: 2D FFT Size 32", Higher Results Are Better "Common KVM",14146,19213,19490,19268,14087,19095,18482,18837,19411,19528,18790,17970,19307,13937,18295 "FFTW 3.3.6 - Build: Float + SSE - Size: 1D FFT Size 4096", Higher Results Are Better "Common KVM",17726,17570,17265 "FFTW 3.3.6 - Build: Float + SSE - Size: 2D FFT Size 4096", Higher Results Are Better "Common KVM",10873,10301,9770.7,10286,10686,10698,10774,10749,10062 "NAMD 2.14 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "Common KVM",1.67937,1.6822,1.68244 "oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "Common KVM",18.0062,16.2728,17.2695,21.1303,20.3939,17.3616,17.4074,17.4747,16.241,16.4136,21.5034,18.0149 "oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "Common KVM",14.1902,14.5356,14.473 "oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Common KVM",47.9819,49.8426,50.3562,50.7528 "oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Common KVM",88.7168,82.7865,84.2244,82.734,83.6579,89.7009,91.6475,94.6202,85.8531,84.6396,84.7438,88.3931,79.6307,91.1238,88.4358 "oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Common KVM", "oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Common KVM", "oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "Common KVM",37.0151,46.5633,39.7373,43.1562,46.4484,48.0048,50.4928,50.4895,47.7271,46.5783,45.5669,46.8017,46.7788,46.1852,46.4068 "oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "Common KVM",100.423,111.991,147.753,94.1512,97.6604,87.9655,108.242,95.9963,98.0758,96.2076,101.672,94.6678,97.0939,133.373,100.935 "oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "Common KVM",28.5188,31.2547,29.1635,29.1696,28.9997,28.2649,29.7651,28.8612,28.6201,29.3,27.2839,30.2046,31.7658,30.3112,29.1619 "oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Common KVM",1183,1125.94,1242.41,1199.58,1138.31,1215.89,1190.64,1228.11,1124.88,1254.39,1192.93,1141.39,1227.88,1238.39,1147.8 "oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Common KVM",147.949,136.954,135.602,129.227,135.835,136.059,148.646,139.641,137.53,149.24,133.579,126.34,130.334,147.031,129.093 "oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Common KVM",59.3496,53.8944,59.2711,62.827,61.2388,60.8642,56.3223,54.8114,59.4033,53.9324,57.5379,59.249,54.446,54.4959,51.9633 "oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "Common KVM",17312.2,17537.3,17659.5 "oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "Common KVM",7911.98,8179.41,8338.7,8265.41 "oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Common KVM",17585.5,17336.5,18216.3,18190 "oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Common KVM", "oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Common KVM", "oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Common KVM", "oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Common KVM",8211.31,8238.33,8100.35 "oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "Common KVM",7.24434,7.11268,6.68781,7.49911,6.54768,6.72622,7.70908,6.48684,6.51134,6.48049,6.78906,6.43189 "oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Common KVM",17431.1,18174.1,18425.2,18544,17988.3 "oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Common KVM",8006.4,7894.58,8324.52,8155.77 "oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Common KVM",28.6598,23.9421,24.3172,20.596,19.36,24.921,22.4917,19.2775,27.1089,21.42,19.3185,19.8865,19.9586,24.7787,19.6014 "oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Common KVM", "CloverLeaf - Lagrangian-Eulerian Hydrodynamics", Lower Results Are Better "Common KVM",79.262164115906,76.489372014999,72.90447807312,95.949818134308,74.948148965836,82.591244935989,88.146232128143,79.49090218544,95.775874853134,99.130737066269,80.977114200592,85.403892993927 "Rodinia 3.1 - Test: OpenMP LavaMD", Lower Results Are Better "Common KVM",217.359,217.157,217.568 "Rodinia 3.1 - Test: OpenMP Leukocyte", Lower Results Are Better "Common KVM",187.806,175.143,173.548,173.264,176.639,173.498,177.85,174.33,180.922,175.815,174.519 "Rodinia 3.1 - Test: OpenMP CFD Solver", Lower Results Are Better "Common KVM",19.31,18.695,19.243 "Rodinia 3.1 - Test: OpenMP Streamcluster", Lower Results Are Better "Common KVM",23.361,19.122,25.064,19.527,18.773,19.07,19.604,22.972,19.119,18.911,19.395,19.342,19.089,24.991,19.158 "Dolfyn 0.527 - Computational Fluid Dynamics", Lower Results Are Better "Common KVM",29.841,29.2,29.092