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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1910025-PTS-RYZEN93997
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Ryzen 9 3900X
October 02 2019
  3 Hours, 23 Minutes
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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: IP Batch 1D - Data Type: f32 ms < Lower Is Better Ryzen 9 3900X . 17.43 |======================================================== 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: IP Batch 1D - Data Type: u8s8u8s32 ms < Lower Is Better Ryzen 9 3900X . 67.99 |======================================================== 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 All - Data Type: u8s8u8s32 ms < Lower Is Better Ryzen 9 3900X . 740.36 |======================================================= 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: 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: Deconvolution Batch deconv_3d - Data Type: f32 ms < Lower Is Better Ryzen 9 3900X . 5.01 |========================================================= 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: Deconvolution Batch deconv_all - Data Type: f32 ms < Lower Is Better Ryzen 9 3900X . 6152.03 |====================================================== 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_3d - Data Type: u8s8f32s32 ms < Lower Is Better Ryzen 9 3900X . 9865.92 |====================================================== 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: Convolution Batch conv_all - Data Type: u8s8f32s32 ms < Lower Is Better Ryzen 9 3900X . 39874.13 |===================================================== 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_1d - Data Type: u8s8u8s32 ms < Lower Is Better Ryzen 9 3900X . 3553.76 |====================================================== 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: 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_1d - Data Type: u8s8f32s32 ms < Lower Is Better Ryzen 9 3900X . 3123.03 |====================================================== 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: 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_alexnet - Data Type: u8s8f32s32 ms < Lower Is Better Ryzen 9 3900X . 3630.24 |====================================================== 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: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32s32 ms < Lower Is Better Ryzen 9 3900X . 1610.08 |======================================================