3950x
AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1201 BIOS) and AMD Radeon RX 56/64 8GB on Ubuntu 20.04 via the Phoronix Test Suite.


AMD Ryzen 9 3950X 16-Core: 

	Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1201 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Force MP600, Graphics: AMD Radeon RX 56/64 8GB (1630/945MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: Acer B286HK, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

	OS: Ubuntu 20.04, Kernel: 5.4.0-9-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: amdgpu 19.1.0, OpenGL: 4.5 Mesa 19.2.4 (LLVM 9.0.0), Compiler: GCC 9.2.1 20191130, File-System: ext4, Screen Resolution: 3840x2160


MKL-DNN DNNL 1.1
Harness: IP Batch 1D - Data Type: f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 4.43605 |==========================================


MKL-DNN DNNL 1.1
Harness: IP Batch All - Data Type: f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 28.32 |============================================


MKL-DNN DNNL 1.1
Harness: IP Batch 1D - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 36.32 |============================================


MKL-DNN DNNL 1.1
Harness: IP Batch All - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 243.84 |===========================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_3d - Data Type: f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 17.62 |============================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_all - Data Type: f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 1834.54 |==========================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_3d - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 7220.50 |==========================================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_1d - Data Type: f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 3.41934 |==========================================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_3d - Data Type: f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 4.35784 |==========================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_alexnet - Data Type: f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 217.85 |===========================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_all - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 24698.2 |==========================================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_all - Data Type: f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 2556.83 |==========================================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 2675.21 |==========================================


MKL-DNN DNNL 1.1
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 4470.03 |==========================================


MKL-DNN DNNL 1.1
Harness: Recurrent Neural Network Training - Data Type: f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 235.09 |===========================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 3523.92 |==========================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 98.45 |============================================


MKL-DNN DNNL 1.1
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32
ms < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 1145.08 |==========================================


Numpy Benchmark

Score > Higher Is Better
AMD Ryzen 9 3950X 16-Core . 424.66 |===========================================


PyBench 2018-02-16
Total For Average Test Times
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 934 |==============================================


PyPerformance 1.0.0
Benchmark: go
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 220 |==============================================


PyPerformance 1.0.0
Benchmark: 2to3
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 288 |==============================================


PyPerformance 1.0.0
Benchmark: chaos
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 103 |==============================================


PyPerformance 1.0.0
Benchmark: float
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 100.2 |============================================


PyPerformance 1.0.0
Benchmark: nbody
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 98.0 |=============================================


PyPerformance 1.0.0
Benchmark: pathlib
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 16.3 |=============================================


PyPerformance 1.0.0
Benchmark: raytrace
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 434 |==============================================


PyPerformance 1.0.0
Benchmark: json_loads
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 22.6 |=============================================


PyPerformance 1.0.0
Benchmark: crypto_pyaes
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 94.2 |=============================================


PyPerformance 1.0.0
Benchmark: regex_compile
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 163 |==============================================


PyPerformance 1.0.0
Benchmark: python_startup
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 11.8 |=============================================


PyPerformance 1.0.0
Benchmark: django_template
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 50.9 |=============================================


PyPerformance 1.0.0
Benchmark: pickle_pure_python
Milliseconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 434 |==============================================


Mlpack Benchmark
Benchmark: scikit_svm
Seconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 11.31 |============================================


Scikit-Learn 0.22.1

Seconds < Lower Is Better
AMD Ryzen 9 3950X 16-Core . 8.335 |============================================