slehpc-wk1-ML-05sep2020

VMware testing on SUSE Linux Enterprise High Performance Computing 15 SP2 15.2 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 2009068-NI-SLEHPCWK174
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Result
Identifier
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Performance Per
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Date
Run
  Test
  Duration
slehpc-wk1-ML-05sep2020
September 06 2020
  4 Hours, 10 Minutes
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slehpc-wk1-ML-05sep2020, "PlaidML - FP16: No - Mode: Inference - Network: VGG16 - Device: CPU", Higher Results Are Better "slehpc-wk1-ML-05sep2020",20.46,20.87,20.23 "PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU", Higher Results Are Better "slehpc-wk1-ML-05sep2020",6.87,6.94,6.79 "Numpy Benchmark - ", Higher Results Are Better "slehpc-wk1-ML-05sep2020",312.37,312.33,324.21 "TensorFlow Lite 2020-08-23 - Model: SqueezeNet", Lower Results Are Better "slehpc-wk1-ML-05sep2020",143527,144100,144117 "TensorFlow Lite 2020-08-23 - Model: Inception V4", Lower Results Are Better "slehpc-wk1-ML-05sep2020",1962060,1958250,1951690 "TensorFlow Lite 2020-08-23 - Model: NASNet Mobile", Lower Results Are Better "slehpc-wk1-ML-05sep2020",142063,142355,142032 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Float", Lower Results Are Better "slehpc-wk1-ML-05sep2020",96905.2,97138.8,97487.6 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Quant", Lower Results Are Better "slehpc-wk1-ML-05sep2020",101199,101154,101031 "TensorFlow Lite 2020-08-23 - Model: Inception ResNet V2", Lower Results Are Better "slehpc-wk1-ML-05sep2020",1764870,1763040,1764670 "oneDNN 1.5 - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",5.21262,5.20769,4.74137,4.7635,5.08121,4.6408,4.76666,5.15652,4.84559,4.69196,4.53047,4.92267,4.73828,4.85412,4.43547 "oneDNN 1.5 - Harness: IP Batch All - Data Type: f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",73.0284,72.1684,73.4416 "oneDNN 1.5 - Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",2.95849,3.00683,2.81878,3.12774,3.13397,2.90378,3.12926,2.92205,3.0116,2.95753,2.86953,3.08901,2.88536,2.88056,3.41187 "oneDNN 1.5 - Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",40.4359,40.0022,39.4427 "oneDNN 1.5 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",12.0383,12.2168,11.9443 "oneDNN 1.5 - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",4.41317,4.69425,4.7235,4.33463,4.62175,4.6724,4.36963,4.33221,4.64818,4.65378,4.69381,4.49716,4.56944,4.72589,4.78381 "oneDNN 1.5 - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",6.31659,6.36848,6.44762 "oneDNN 1.5 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",12.5956,12.7314,12.8422 "oneDNN 1.5 - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",7.81202,8.17712,7.42154,8.13489,6.98801,7.92438,7.75163,7.81411,6.69502,7.30176,6.80308,7.1866,7.08318,7.18497,7.72664 "oneDNN 1.5 - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",5.93616,5.93212,5.52629,5.40466,5.85586,6.12118,5.83232,6.2054,5.88665,5.80928,5.3731,5.79764,5.87198,6.07137,5.77728 "oneDNN 1.5 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",351.294,333.286,332.945,345.773 "oneDNN 1.5 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",77.0091,69.6197,72.1651,74.6351,88.0337,84.875,86.3196,75.658,87.4549,84.9324,83.5874,90.2141 "oneDNN 1.5 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",1.62934,1.34549,1.51766,1.45254,1.51842,1.58972,1.46156,1.4879,1.37012,1.26835,1.73941,1.58335,1.54817,1.87058,1.4097 "oneDNN 1.5 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "slehpc-wk1-ML-05sep2020",2.9914,2.90953,2.91057 "DeepSpeech 0.6 - ", Lower Results Are Better "slehpc-wk1-ML-05sep2020",65.04667,64.58488,64.25768 "Numenta Anomaly Benchmark 1.1 - Detector: EXPoSE", Lower Results Are Better "slehpc-wk1-ML-05sep2020",874.224,829.043,957.485,937.903,821.4,958.938,976.808,991.386,927.833 "Numenta Anomaly Benchmark 1.1 - Detector: Relative Entropy", Lower Results Are Better "slehpc-wk1-ML-05sep2020",24.825,26.156,24.554,26.543,23.113,23.102,22.737,22.726,22.924,22.83,22.997,22.616 "Numenta Anomaly Benchmark 1.1 - Detector: Windowed Gaussian", Lower Results Are Better "slehpc-wk1-ML-05sep2020",12.104,12.213,11.898 "Numenta Anomaly Benchmark 1.1 - Detector: Earthgecko Skyline", Lower Results Are Better "slehpc-wk1-ML-05sep2020",107.923,108.756,110.959 "Numenta Anomaly Benchmark 1.1 - Detector: Bayesian Changepoint", Lower Results Are Better "slehpc-wk1-ML-05sep2020",44.015,43.716,44.205