lubu20.04-ML-29aug2020
VMware testing on Ubuntu 16.04 via the Phoronix Test Suite.


lubu20.04-ML-29aug2020: 

	Processor: 8 x AMD Ryzen Threadripper 3960X 24-Core (16 Cores), Motherboard: Intel 440BX (6.00 BIOS), Chipset: Intel 440BX/ZX/DX, Memory: 16GB, Disk: 107GB VMware Virtual S, Graphics: SVGA3D; build: RELEASE; LLVM;, Audio: Ensoniq ES1371/ES1373, Network: Intel 82545EM + 4 x AMD 79c970

	OS: Ubuntu 16.04, Kernel: 4.15.0-112-generic (x86_64), Desktop: LXDE 0.8.2, Display Server: X Server 1.19.6, Display Driver: modesetting 1.19.6, OpenGL: 2.1 Mesa 18.0.5, Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 1280x1024, System Layer: VMware


oneDNN 1.5
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 4.15610 |=============================================


oneDNN 1.5
Harness: IP Batch All - Data Type: f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 63.39 |===============================================


oneDNN 1.5
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 2.86966 |=============================================


oneDNN 1.5
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 35.59 |===============================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 11.20 |===============================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 4.38252 |=============================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 7.26932 |=============================================


oneDNN 1.5
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 12.57 |===============================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 7.16470 |=============================================


oneDNN 1.5
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 5.35380 |=============================================


oneDNN 1.5
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 309.94 |==============================================


oneDNN 1.5
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 75.90 |===============================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 1.48250 |=============================================


oneDNN 1.5
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
lubu20.04-ML-29aug2020 . 2.60351 |=============================================


Numpy Benchmark

Score > Higher Is Better
lubu20.04-ML-29aug2020 . 292.69 |==============================================


DeepSpeech 0.6

Seconds < Lower Is Better
lubu20.04-ML-29aug2020 . 72.86 |===============================================


R Benchmark

Seconds < Lower Is Better
lubu20.04-ML-29aug2020 . 0.2234 |==============================================


TensorFlow Lite 2020-08-23
Model: SqueezeNet
Microseconds < Lower Is Better
lubu20.04-ML-29aug2020 . 161108 |==============================================


TensorFlow Lite 2020-08-23
Model: Inception V4
Microseconds < Lower Is Better
lubu20.04-ML-29aug2020 . 2214007 |=============================================


TensorFlow Lite 2020-08-23
Model: NASNet Mobile
Microseconds < Lower Is Better
lubu20.04-ML-29aug2020 . 153022 |==============================================


TensorFlow Lite 2020-08-23
Model: Mobilenet Float
Microseconds < Lower Is Better
lubu20.04-ML-29aug2020 . 108399 |==============================================


TensorFlow Lite 2020-08-23
Model: Mobilenet Quant
Microseconds < Lower Is Better
lubu20.04-ML-29aug2020 . 117261 |==============================================


TensorFlow Lite 2020-08-23
Model: Inception ResNet V2
Microseconds < Lower Is Better
lubu20.04-ML-29aug2020 . 1987587 |=============================================


Mlpack Benchmark
Benchmark: scikit_ica
Seconds < Lower Is Better
lubu20.04-ML-29aug2020 . 54.81 |===============================================


Mlpack Benchmark
Benchmark: scikit_qda
Seconds < Lower Is Better
lubu20.04-ML-29aug2020 . 16.79 |===============================================


Mlpack Benchmark
Benchmark: scikit_svm
Seconds < Lower Is Better
lubu20.04-ML-29aug2020 . 1.77 |================================================


Mlpack Benchmark
Benchmark: scikit_linearridgeregression
Seconds < Lower Is Better
lubu20.04-ML-29aug2020 . 1.77 |================================================


Scikit-Learn 0.22.1

Seconds < Lower Is Better
lubu20.04-ML-29aug2020 . 23.35 |===============================================