AMD Ryzen 9 3900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1001 BIOS) and AMD Radeon RX 64 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 1910088-AS-RYZEN939058
Ryzen 9 3900X Test
AMD Ryzen 9 3900X 12-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1001 BIOS) and AMD Radeon RX 64 8GB on Ubuntu 19.04 via the Phoronix Test Suite.
,,"AMD Ryzen 9 3900X 12-Core"
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 Starship/Matisse
Memory,,16384MB
Disk,,2000GB Force MP600
Graphics,,AMD Radeon RX 64 8GB (1630/945MHz)
Audio,,AMD Device aaf8
Monitor,,ASUS VP28U
Network,,Realtek Device 8125 + Intel I211 + Intel Wi-Fi 6 AX200
OS,,Ubuntu 19.04
Kernel,,5.3.0-999-generic (x86_64) 20190909
Desktop,,GNOME Shell 3.32.2
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 8.3.0 + Clang 10.0.0-svn371485-1~exp1+0~20190910040723.259~1.gbp13c8b7
File-System,,ext4
Screen Resolution,,3840x2160
,,"AMD Ryzen 9 3900X 12-Core"
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,21.25
"LeelaChessZero - Backend: Random (Nodes/s)",HIB,128674
"dav1d - Video Input: Chimera 1080p (FPS)",HIB,487.78
"dav1d - Video Input: Summer Nature 4K (FPS)",HIB,174.94
"dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,469.72
"dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,69.05
"libgav1 - Video Input: Chimera 1080p (FPS)",HIB,52.67
"libgav1 - Video Input: Summer Nature 4K (FPS)",HIB,24.82
"libgav1 - Video Input: Summer Nature 1080p (FPS)",HIB,82.19
"libgav1 - Video Input: Chimera 1080p 10-bit (FPS)",HIB,19.05
"MKL-DNN DNNL - Harness: IP Batch 1D - Data Type: f32 (ms)",LIB,4.36
"MKL-DNN DNNL - Harness: IP Batch All - Data Type: f32 (ms)",LIB,29.82
"MKL-DNN DNNL - Harness: IP Batch 1D - Data Type: u8s8f32 (ms)",LIB,49.00
"MKL-DNN DNNL - Harness: IP Batch All - Data Type: u8s8f32 (ms)",LIB,266.88
"MKL-DNN DNNL - Harness: Convolution Batch conv_3d - Data Type: f32 (ms)",LIB,18.80
"MKL-DNN DNNL - Harness: Convolution Batch conv_all - Data Type: f32 (ms)",LIB,2066.76
"MKL-DNN DNNL - Harness: Convolution Batch conv_3d - Data Type: u8s8f32 (ms)",LIB,9935.65
"MKL-DNN DNNL - Harness: Deconvolution Batch deconv_1d - Data Type: f32 (ms)",LIB,4.23
"MKL-DNN DNNL - Harness: Deconvolution Batch deconv_3d - Data Type: f32 (ms)",LIB,4.93
"MKL-DNN DNNL - Harness: Convolution Batch conv_alexnet - Data Type: f32 (ms)",LIB,253.06
"MKL-DNN DNNL - Harness: Convolution Batch conv_all - Data Type: u8s8f32 (ms)",LIB,36833.83
"MKL-DNN DNNL - Harness: Deconvolution Batch deconv_all - Data Type: f32 (ms)",LIB,3016.27
"MKL-DNN DNNL - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 (ms)",LIB,3298.80
"MKL-DNN DNNL - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 (ms)",LIB,5659.93
"MKL-DNN DNNL - Harness: Recurrent Neural Network Training - Data Type: f32 (ms)",LIB,259.17
"MKL-DNN DNNL - Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 (ms)",LIB,4225.66
"MKL-DNN DNNL - Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 (ms)",LIB,114.62
"MKL-DNN DNNL - Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 (ms)",LIB,1884.52
"OSPray - Demo: San Miguel - Renderer: SciVis (FPS)",HIB,19.23
"OSPray - Demo: XFrog Forest - Renderer: SciVis (FPS)",HIB,3.58
"OSPray - Demo: San Miguel - Renderer: Path Tracer (FPS)",HIB,1.46
"OSPray - Demo: NASA Streamlines - Renderer: SciVis (FPS)",HIB,27.21
"OSPray - Demo: XFrog Forest - Renderer: Path Tracer (FPS)",HIB,1.87
"OSPray - Demo: Magnetic Reconnection - Renderer: SciVis (FPS)",HIB,12.86
"OSPray - Demo: NASA Streamlines - Renderer: Path Tracer (FPS)",HIB,5.56
"OSPray - Demo: Magnetic Reconnection - Renderer: Path Tracer (FPS)",HIB,200
"AOM AV1 - AV1 Video Encoding (FPS)",HIB,0.14
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,15.40
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,14.71
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,16.55
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,14.80
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,16.47
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,14.18
"SVT-AV1 - Encoder Mode: Enc Mode 0 - Input: 1080p (FPS)",HIB,0.08
"SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,4.71
"SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,46.26
"Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,10.29
"LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,2.29
"LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,2.19
"Tungsten Renderer - Scene: Hair (sec)",LIB,17.46
"Tungsten Renderer - Scene: Water Caustic (sec)",LIB,23.90
"Tungsten Renderer - Scene: Non-Exponential (sec)",LIB,7.05
"Tungsten Renderer - Scene: Volumetric Caustic (sec)",LIB,7.60