Xeong Linux
2 x Intel Xeon Gold 6138 testing with a TYAN S7106 (V2.00.B20 BIOS) and llvmpipe 93GB on Ubuntu 18.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/1910133-AS-XEONGLINU92.
IOR
Write Test
IOR
Read Test
libgav1
Video Input: Chimera 1080p
libgav1
Video Input: Summer Nature 4K
libgav1
Video Input: Summer Nature 1080p
libgav1
Video Input: Chimera 1080p 10-bit
MKL-DNN DNNL
Harness: IP Batch 1D - Data Type: f32
MKL-DNN DNNL
Harness: IP Batch All - Data Type: f32
MKL-DNN DNNL
Harness: IP Batch 1D - Data Type: u8s8f32
MKL-DNN DNNL
Harness: IP Batch All - Data Type: u8s8f32
MKL-DNN DNNL
Harness: IP Batch 1D - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: IP Batch All - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Convolution Batch conv_3d - Data Type: f32
MKL-DNN DNNL
Harness: Convolution Batch conv_all - Data Type: f32
MKL-DNN DNNL
Harness: Convolution Batch conv_3d - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_1d - Data Type: f32
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_3d - Data Type: f32
MKL-DNN DNNL
Harness: Convolution Batch conv_alexnet - Data Type: f32
MKL-DNN DNNL
Harness: Convolution Batch conv_all - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_all - Data Type: f32
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Recurrent Neural Network Training - Data Type: f32
MKL-DNN DNNL
Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16
OSPray
Demo: San Miguel - Renderer: SciVis
OSPray
Demo: XFrog Forest - Renderer: SciVis
OSPray
Demo: San Miguel - Renderer: Path Tracer
OSPray
Demo: NASA Streamlines - Renderer: SciVis
OSPray
Demo: XFrog Forest - Renderer: Path Tracer
OSPray
Demo: Magnetic Reconnection - Renderer: SciVis
OSPray
Demo: NASA Streamlines - Renderer: Path Tracer
OSPray
Demo: Magnetic Reconnection - Renderer: Path Tracer
Embree
Binary: Pathtracer - Model: Crown
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
Binary: Pathtracer - Model: Asian Dragon
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
ACES DGEMM
Sustained Floating-Point Rate
Intel Open Image Denoise
Scene: Memorial
LuxCoreRender
Scene: DLSC
LuxCoreRender
Scene: Rainbow Colors and Prism
Tungsten Renderer
Scene: Hair
Tungsten Renderer
Scene: Water Caustic
Tungsten Renderer
Scene: Non-Exponential
Tungsten Renderer
Scene: Volumetric Caustic
N-Queens
Elapsed Time
OpenSSL
RSA 4096-bit Performance
SQLite Speedtest
Timed Time - Size 1,000
Phoronix Test Suite v10.8.4