f33-machine-learning, "oneDNN 1.5 - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",8.74063,10.0109,12.8033,8.97204,8.96464,8.94256,10.0685,8.82494,9.59078,9.87316,11.2923,9.19628,17.6413,9.64295,10.3826 "oneDNN 1.5 - Harness: IP Batch All - Data Type: f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",143.63,169.637,158.786,131.253,127.479,133.676,129.1,137.092,175.407,126.205,126.284,124.799 "oneDNN 1.5 - Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",4.203,3.95624,3.94449,3.94101 "oneDNN 1.5 - Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",57.3799,75.7107,53.2075,53.1171,54.8711,53.9393,52.9575,54.4822,63.951,54.6268,58.0939,64.6218,71.7493,54.4901,53.6587 "oneDNN 1.5 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",24.3444,23.8644,23.8803 "oneDNN 1.5 - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",9.78833,9.71755,9.67791 "oneDNN 1.5 - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",16.0114,15.344,14.7238,14.7182,14.6385,14.6961,14.6954 "oneDNN 1.5 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",22.2121,22.1854,22.1709 "oneDNN 1.5 - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",10.968,11.1816,10.8138 "oneDNN 1.5 - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",7.94797,7.95577,7.9952 "oneDNN 1.5 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",719.632,811.166,701.294,673.654,678.15,640.718,643.016,672.524,676.507,629.926,665.202,708.654,683.235,681.608,706.573 "oneDNN 1.5 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",519.926,368.291,388.745,507.445,339.709,442.686,353.776,738.598,356.437,409.765,354.599,327.314,343.29,431.549,358.027 "oneDNN 1.5 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",6.17686,8.59449,6.62381,6.75725,6.40485,10.2923,7.08018,6.38634,6.20712,7.10972,6.26785,6.45356,6.41023,6.41134,6.43276 "oneDNN 1.5 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",8.16473,8.77677,8.282,11.5309,12.7257,10.096,17.7829,9.04705,9.93587,18.1428,9.21948,9.43036 "Numpy Benchmark - ", Higher Results Are Better "dtdesk.z170.16GB.nvme",279.71,272.05,288.37 "DeepSpeech 0.6 - Acceleration: CPU", Lower Results Are Better "dtdesk.z170.16GB.nvme",100.98728,89.08602,90.35629,89.3116,89.60602,89.00634,89.39166,89.28988,89.32043,89.45972,89.41907,89.30068,88.98869,89.33853 "R Benchmark - ", Lower Results Are Better "dtdesk.z170.16GB.nvme",0.21931178881935,0.21808551276156,0.21736236073922,0.21801078881549,0.23018887507774 "RNNoise 2020-06-28 - ", Lower Results Are Better "dtdesk.z170.16GB.nvme",28.998189926147,30.67359995842,30.506240129471 "TensorFlow Lite 2020-08-23 - Model: SqueezeNet", Lower Results Are Better "dtdesk.z170.16GB.nvme",495146,496558,495890 "TensorFlow Lite 2020-08-23 - Model: Inception V4", Lower Results Are Better "dtdesk.z170.16GB.nvme",7124110,7175040,7165530 "TensorFlow Lite 2020-08-23 - Model: NASNet Mobile", Lower Results Are Better "dtdesk.z170.16GB.nvme",399498,382149,403215 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Float", Lower Results Are Better "dtdesk.z170.16GB.nvme",338842,340301,349900 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Quant", Lower Results Are Better "dtdesk.z170.16GB.nvme",352453,348830,355213 "TensorFlow Lite 2020-08-23 - Model: Inception ResNet V2", Lower Results Are Better "dtdesk.z170.16GB.nvme",6481680,6469810,6496090 "Mobile Neural Network 2020-09-17 - Model: SqueezeNetV1.0", Lower Results Are Better "dtdesk.z170.16GB.nvme",11.632,12.464,13.082,12.602,18.199,13.176,13.427,15.51,11.375 "Mobile Neural Network 2020-09-17 - Model: resnet-v2-50", Lower Results Are Better "dtdesk.z170.16GB.nvme",75.868,72.494,67.968,72.51,72.865,79.413,79.044,68.618,64.757 "Mobile Neural Network 2020-09-17 - Model: MobileNetV2_224", Lower Results Are Better "dtdesk.z170.16GB.nvme",8.812,6.521,6.9,6.694,10.295,7.292,7.281,8.833,6.448 "Mobile Neural Network 2020-09-17 - Model: mobilenet-v1-1.0", Lower Results Are Better "dtdesk.z170.16GB.nvme",12.544,9.329,9.346,9.757,13.061,9.759,12.042,11.743,8.95 "Mobile Neural Network 2020-09-17 - Model: inception-v3", Lower Results Are Better "dtdesk.z170.16GB.nvme",81.654,82.944,72.322,95.509,92.022,79,89.079,80.434,70.09 "PlaidML - FP16: No - Mode: Inference - Network: VGG16 - Device: CPU", Higher Results Are Better "dtdesk.z170.16GB.nvme",6.69,6.43,6.27 "PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU", Higher Results Are Better "dtdesk.z170.16GB.nvme",2.95,2.93,2.95 "Numenta Anomaly Benchmark 1.1 - Detector: EXPoSE", Lower Results Are Better "dtdesk.z170.16GB.nvme",2636.0204930305,3008.2563929558,2901.1840190887,2877.8799228668,2857.613145113,2867.814948082,2557.9725251198,2567.1488668919,2597.1200568676 "Numenta Anomaly Benchmark 1.1 - Detector: Relative Entropy", Lower Results Are Better "dtdesk.z170.16GB.nvme",35.640914916992,36.056597948074,36.675518989563 "Numenta Anomaly Benchmark 1.1 - Detector: Windowed Gaussian", Lower Results Are Better "dtdesk.z170.16GB.nvme",25.849672079086,24.999534845352,24.707978010178 "Numenta Anomaly Benchmark 1.1 - Detector: Earthgecko Skyline", Lower Results Are Better "dtdesk.z170.16GB.nvme",279.08091115952,274.76886606216,278.85606694221 "Numenta Anomaly Benchmark 1.1 - Detector: Bayesian Changepoint", Lower Results Are Better "dtdesk.z170.16GB.nvme",76.26056599617,74.826905965805,74.739950180054 "Mlpack Benchmark - Benchmark: scikit_ica", Lower Results Are Better "dtdesk.z170.16GB.nvme",48.781014204025,49.146263360977,48.758938550949 "Mlpack Benchmark - Benchmark: scikit_qda", Lower Results Are Better "dtdesk.z170.16GB.nvme",96.558112382889,95.606067895889,94.830317258835 "Mlpack Benchmark - Benchmark: scikit_svm", Lower Results Are Better "dtdesk.z170.16GB.nvme",28.553193569183,28.523106813431,28.542129993439 "Mlpack Benchmark - Benchmark: scikit_linearridgeregression", Lower Results Are Better "dtdesk.z170.16GB.nvme",4.0355279445648,4.034081697464,4.0444092750549 "Scikit-Learn 0.22.1 - ", Lower Results Are Better "dtdesk.z170.16GB.nvme",10.799437046051,10.757239103317,10.803938865662