Xeon Gold
Intel Xeon Gold 5218 testing with a Supermicro X11SPL-F v1.02 (3.1 BIOS) and llvmpipe 188GB on Ubuntu 19.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2002201-VE-XEONGOLD541&grr.
Blender
Blend File: Pabellon Barcelona - Compute: OpenCL
Blender
Blend File: Fishy Cat - Compute: OpenCL
Timed GCC Compilation
Time To Compile
Blender
Blend File: Barbershop - Compute: OpenCL
MKL-DNN DNNL
Harness: Convolution Batch conv_all - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Convolution Batch conv_all - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Convolution Batch conv_all - Data Type: f32
Blender
Blend File: Barbershop - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: OpenCL
Blender
Blend File: BMW27 - Compute: OpenCL
Blender
Blend File: Classroom - Compute: CPU-Only
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_all - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_all - Data Type: f32
FFTW
Build: Float + SSE - Size: 2D FFT Size 4096
POV-Ray
Trace Time
FFTW
Build: Stock - Size: 2D FFT Size 4096
OSPray
Demo: XFrog Forest - Renderer: Path Tracer
Radiance Benchmark
Test: Serial
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Appleseed
Scene: Emily
OSPray
Demo: NASA Streamlines - Renderer: Path Tracer
OSPray
Demo: San Miguel - Renderer: SciVis
Blender
Blend File: BMW27 - Compute: CPU-Only
OSPray
Demo: San Miguel - Renderer: Path Tracer
Timed GDB GNU Debugger Compilation
Time To Compile
MKL-DNN DNNL
Harness: Convolution Batch conv_googlenet_v3 - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
Appleseed
Scene: Disney Material
Appleseed
Scene: Material Tester
Timed LLVM Compilation
Time To Compile
FFTW
Build: Float + SSE - Size: 2D FFT Size 2048
Build2
Time To Compile
MKL-DNN DNNL
Harness: Convolution Batch conv_3d - Data Type: u8s8f32
FFTW
Build: Stock - Size: 2D FFT Size 2048
Radiance Benchmark
Test: SMP Parallel
OSPray
Demo: XFrog Forest - Renderer: SciVis
Chaos Group V-RAY
Mode: CPU
IndigoBench
Scene: Bedroom
LuxCoreRender
Scene: DLSC
LuxCoreRender
Scene: Rainbow Colors and Prism
IndigoBench
Scene: Supercar
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
Timed Linux Kernel Compilation
Time To Compile
C-Ray
Total Time - 4K, 16 Rays Per Pixel
Timed PHP Compilation
Time To Compile
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Embree
Binary: Pathtracer - Model: Crown
OSPray
Demo: NASA Streamlines - Renderer: SciVis
Timed FFmpeg Compilation
Time To Compile
MKL-DNN DNNL
Harness: IP Batch All - Data Type: f32
MKL-DNN DNNL
Harness: IP Batch All - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: IP Batch All - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32
Embree
Binary: Pathtracer ISPC - Model: Crown
OSPray
Demo: Magnetic Reconnection - Renderer: SciVis
Tungsten Renderer
Scene: Non-Exponential
Embree
Binary: Pathtracer - Model: Asian Dragon
MKL-DNN DNNL
Harness: Convolution Batch conv_3d - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Convolution Batch conv_3d - Data Type: f32
MKL-DNN DNNL
Harness: Recurrent Neural Network Training - Data Type: f32
AOBench
Size: 2048 x 2048 - Total Time
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
TTSIOD 3D Renderer
Phong Rendering With Soft-Shadow Mapping
Timed MPlayer Compilation
Time To Compile
FFTW
Build: Float + SSE - Size: 1D FFT Size 2048
Tungsten Renderer
Scene: Water Caustic
Timed ImageMagick Compilation
Time To Compile
FFTW
Build: Float + SSE - Size: 1D FFT Size 512
Timed Apache Compilation
Time To Compile
MKL-DNN DNNL
Harness: Convolution Batch conv_alexnet - Data Type: bf16bf16bf16
Tungsten Renderer
Scene: Hair
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_1d - Data Type: f32
FFTW
Build: Stock - Size: 2D FFT Size 256
FFTW
Build: Float + SSE - Size: 2D FFT Size 1024
MKL-DNN DNNL
Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32
FFTW
Build: Stock - Size: 2D FFT Size 128
MKL-DNN DNNL
Harness: Convolution Batch conv_alexnet - Data Type: f32
FFTW
Build: Float + SSE - Size: 1D FFT Size 128
rays1bench
Large Scene
FFTW
Build: Float + SSE - Size: 1D FFT Size 256
MKL-DNN DNNL
Harness: IP Batch 1D - Data Type: f32
MKL-DNN DNNL
Harness: IP Batch 1D - Data Type: bf16bf16bf16
MKL-DNN DNNL
Harness: IP Batch 1D - Data Type: u8s8f32
FFTW
Build: Stock - Size: 2D FFT Size 32
FFTW
Build: Float + SSE - Size: 2D FFT Size 32
FFTW
Build: Stock - Size: 2D FFT Size 1024
Tungsten Renderer
Scene: Volumetric Caustic
FFTW
Build: Float + SSE - Size: 2D FFT Size 256
FFTW
Build: Float + SSE - Size: 2D FFT Size 512
Smallpt
Global Illumination Renderer; 128 Samples
FFTW
Build: Float + SSE - Size: 2D FFT Size 128
FFTW
Build: Float + SSE - Size: 1D FFT Size 4096
Intel Open Image Denoise
Scene: Memorial
OSPray
Demo: Magnetic Reconnection - Renderer: Path Tracer
FFTW
Build: Stock - Size: 1D FFT Size 4096
FFTW
Build: Float + SSE - Size: 1D FFT Size 1024
FFTW
Build: Stock - Size: 2D FFT Size 512
FFTW
Build: Stock - Size: 1D FFT Size 2048
FFTW
Build: Stock - Size: 1D FFT Size 1024
FFTW
Build: Float + SSE - Size: 2D FFT Size 64
FFTW
Build: Stock - Size: 1D FFT Size 256
FFTW
Build: Stock - Size: 1D FFT Size 64
FFTW
Build: Float + SSE - Size: 1D FFT Size 64
FFTW
Build: Stock - Size: 1D FFT Size 512
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16
FFTW
Build: Float + SSE - Size: 1D FFT Size 32
MKL-DNN DNNL
Harness: Deconvolution Batch deconv_3d - Data Type: f32
FFTW
Build: Stock - Size: 1D FFT Size 128
FFTW
Build: Stock - Size: 1D FFT Size 32
FFTW
Build: Stock - Size: 2D FFT Size 64
Phoronix Test Suite v10.8.5