Ryzen 9 3900X MKL-DNN
AMD Ryzen 9 3900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1001 BIOS) and Zotac NVIDIA GeForce GTX 1070 Ti 8GB on Ubuntu 19.04 via the Phoronix Test Suite.


Ryzen 9 3900X: 

	Processor: AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1001 BIOS), Chipset: AMD Device 1480, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB, Graphics: Zotac NVIDIA GeForce GTX 1070 Ti 8GB (1607/4006MHz), Audio: NVIDIA GP104 HD Audio, Monitor: ASUS VP28U, Network: Realtek Device 8125 + Intel I211 + Intel Device 2723

	OS: Ubuntu 19.04, Kernel: 5.0.0-29-generic (x86_64), Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.4, Display Driver: NVIDIA 435.21, OpenGL: 4.6.0, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 3840x2160


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: u8s8f32s32
ms < Lower Is Better
Ryzen 9 3900X . 39874.13 |=====================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: f32
ms < Lower Is Better
Ryzen 9 3900X . 209.77 |=======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: u8s8u8s32
ms < Lower Is Better
Ryzen 9 3900X . 39880.53 |=====================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_all - Data Type: u8s8u8s32
ms < Lower Is Better
Ryzen 9 3900X . 31661.90 |=====================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8u8s32
ms < Lower Is Better
Ryzen 9 3900X . 1621.03 |======================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8u8s32
ms < Lower Is Better
Ryzen 9 3900X . 6075.12 |======================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32s32
ms < Lower Is Better
Ryzen 9 3900X . 3123.03 |======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_all - Data Type: f32
ms < Lower Is Better
Ryzen 9 3900X . 2084.46 |======================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: f32
ms < Lower Is Better
Ryzen 9 3900X . 23.96 |========================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: u8s8f32s32
ms < Lower Is Better
Ryzen 9 3900X . 739.04 |=======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: f32
ms < Lower Is Better
Ryzen 9 3900X . 18.76 |========================================================


MKL-DNN 2019-04-16
Harness: IP Batch All - Data Type: u8s8u8s32
ms < Lower Is Better
Ryzen 9 3900X . 740.36 |=======================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: u8s8f32s32
ms < Lower Is Better
Ryzen 9 3900X . 67.65 |========================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: u8s8u8s32
ms < Lower Is Better
Ryzen 9 3900X . 67.99 |========================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
ms < Lower Is Better
Ryzen 9 3900X . 110.96 |=======================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: f32
ms < Lower Is Better
Ryzen 9 3900X . 5.01 |=========================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8u8s32
ms < Lower Is Better
Ryzen 9 3900X . 3553.76 |======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: f32
ms < Lower Is Better
Ryzen 9 3900X . 254.89 |=======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: u8s8u8s32
ms < Lower Is Better
Ryzen 9 3900X . 3657.61 |======================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_all - Data Type: f32
ms < Lower Is Better
Ryzen 9 3900X . 6152.03 |======================================================


MKL-DNN 2019-04-16
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32s32
ms < Lower Is Better
Ryzen 9 3900X . 5522.71 |======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: u8s8u8s32
ms < Lower Is Better
Ryzen 9 3900X . 9841.26 |======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32s32
ms < Lower Is Better
Ryzen 9 3900X . 3630.24 |======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_3d - Data Type: u8s8f32s32
ms < Lower Is Better
Ryzen 9 3900X . 9865.92 |======================================================


MKL-DNN 2019-04-16
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32
ms < Lower Is Better
Ryzen 9 3900X . 1610.08 |======================================================


MKL-DNN 2019-04-16
Harness: IP Batch 1D - Data Type: f32
ms < Lower Is Better
Ryzen 9 3900X . 17.43 |========================================================