Ryzen 5 MKL DNNL
AMD Ryzen 5 3600X 6-Core testing with a MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.B2 BIOS) and MSI AMD Radeon R7 370 / R9 270/370 OEM 4GB on Ubuntu 18.04 via the Phoronix Test Suite.


AMD Ryzen 5 3600X 6-Core: 

	Processor: AMD Ryzen 5 3600X 6-Core (6 Cores / 12 Threads), Motherboard: MSI X470 GAMING M7 AC (MS-7B77) v1.0 (1.B2 BIOS), Chipset: AMD Starship/Matisse, Memory: 16384MB, Disk: 256GB INTEL SSDPEKKW256G7, Graphics: MSI AMD Radeon R7 370 / R9 270/370 OEM 4GB, Audio: AMD Cape Verde/Pitcairn, Monitor: G237HL, Network: Qualcomm Atheros Killer E2500 + Intel 8265 / 8275

	OS: Ubuntu 18.04, Kernel: 5.0.0-29-generic (x86_64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.20.4, Display Driver: modesetting 1.20.4, OpenGL: 4.5 Mesa 19.0.8 (LLVM 8.0.0), Compiler: GCC 7.4.0, File-System: ext4, Screen Resolution: 1920x1080


libgav1 2019-10-05
Video Input: Chimera 1080p
FPS > Higher Is Better
AMD Ryzen 5 3600X 6-Core . 51.69 |=============================================


libgav1 2019-10-05
Video Input: Summer Nature 4K
FPS > Higher Is Better
AMD Ryzen 5 3600X 6-Core . 22.76 |=============================================


libgav1 2019-10-05
Video Input: Summer Nature 1080p
FPS > Higher Is Better
AMD Ryzen 5 3600X 6-Core . 86.33 |=============================================


libgav1 2019-10-05
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
AMD Ryzen 5 3600X 6-Core . 19.29 |=============================================


MKL-DNN DNNL 1.1
Harness: IP Batch 1D - Data Type: f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 6.68 |==============================================


MKL-DNN DNNL 1.1
Harness: IP Batch All - Data Type: f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 30.28 |=============================================


MKL-DNN DNNL 1.1
Harness: IP Batch 1D - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 74.28 |=============================================


MKL-DNN DNNL 1.1
Harness: IP Batch All - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 330.93 |============================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_3d - Data Type: f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 27.64 |=============================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_all - Data Type: f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 3666.93 |===========================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_3d - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 16550.87 |==========================================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_1d - Data Type: f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 7.76 |==============================================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_3d - Data Type: f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 8.39 |==============================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_alexnet - Data Type: f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 466.98 |============================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_all - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 66429.33 |==========================================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_all - Data Type: f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 4056.14 |===========================================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 6808.13 |===========================================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 11942.27 |==========================================


MKL-DNN DNNL 1.1
Harness: Recurrent Neural Network Training - Data Type: f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 337.09 |============================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 8205.12 |===========================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 204.95 |============================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 5 3600X 6-Core . 3562.16 |===========================================