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&gru.
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
TTSIOD 3D Renderer
Phong Rendering With Soft-Shadow Mapping
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
Intel Open Image Denoise
Scene: Memorial
Chaos Group V-RAY
Mode: CPU
IndigoBench
Scene: Bedroom
IndigoBench
Scene: Supercar
LuxCoreRender
Scene: DLSC
LuxCoreRender
Scene: Rainbow Colors and Prism
FFTW
Build: Stock - Size: 1D FFT Size 32
FFTW
Build: Stock - Size: 1D FFT Size 64
FFTW
Build: Stock - Size: 2D FFT Size 32
FFTW
Build: Stock - Size: 2D FFT Size 64
FFTW
Build: Stock - Size: 1D FFT Size 128
FFTW
Build: Stock - Size: 1D FFT Size 256
FFTW
Build: Stock - Size: 1D FFT Size 512
FFTW
Build: Stock - Size: 2D FFT Size 128
FFTW
Build: Stock - Size: 2D FFT Size 256
FFTW
Build: Stock - Size: 2D FFT Size 512
FFTW
Build: Stock - Size: 1D FFT Size 1024
FFTW
Build: Stock - Size: 1D FFT Size 2048
FFTW
Build: Stock - Size: 1D FFT Size 4096
FFTW
Build: Stock - Size: 2D FFT Size 1024
FFTW
Build: Stock - Size: 2D FFT Size 2048
FFTW
Build: Stock - Size: 2D FFT Size 4096
FFTW
Build: Float + SSE - Size: 1D FFT Size 32
FFTW
Build: Float + SSE - Size: 1D FFT Size 64
FFTW
Build: Float + SSE - Size: 2D FFT Size 32
FFTW
Build: Float + SSE - Size: 2D FFT Size 64
FFTW
Build: Float + SSE - Size: 1D FFT Size 128
FFTW
Build: Float + SSE - Size: 1D FFT Size 256
FFTW
Build: Float + SSE - Size: 1D FFT Size 512
FFTW
Build: Float + SSE - Size: 2D FFT Size 128
FFTW
Build: Float + SSE - Size: 2D FFT Size 256
FFTW
Build: Float + SSE - Size: 2D FFT Size 512
FFTW
Build: Float + SSE - Size: 1D FFT Size 1024
FFTW
Build: Float + SSE - Size: 1D FFT Size 2048
FFTW
Build: Float + SSE - Size: 1D FFT Size 4096
FFTW
Build: Float + SSE - Size: 2D FFT Size 1024
FFTW
Build: Float + SSE - Size: 2D FFT Size 2048
FFTW
Build: Float + SSE - Size: 2D FFT Size 4096
rays1bench
Large Scene
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
Timed Apache Compilation
Time To Compile
Timed FFmpeg Compilation
Time To Compile
Timed GCC Compilation
Time To Compile
Timed GDB GNU Debugger Compilation
Time To Compile
Timed ImageMagick Compilation
Time To Compile
Timed Linux Kernel Compilation
Time To Compile
Timed LLVM Compilation
Time To Compile
Timed MPlayer Compilation
Time To Compile
Timed PHP Compilation
Time To Compile
Build2
Time To Compile
C-Ray
Total Time - 4K, 16 Rays Per Pixel
POV-Ray
Trace Time
Smallpt
Global Illumination Renderer; 128 Samples
Tungsten Renderer
Scene: Hair
Tungsten Renderer
Scene: Water Caustic
Tungsten Renderer
Scene: Non-Exponential
Tungsten Renderer
Scene: Volumetric Caustic
AOBench
Size: 2048 x 2048 - Total Time
Radiance Benchmark
Test: Serial
Radiance Benchmark
Test: SMP Parallel
Blender
Blend File: BMW27 - Compute: OpenCL
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: OpenCL
Blender
Blend File: Fishy Cat - Compute: OpenCL
Blender
Blend File: Barbershop - Compute: OpenCL
Blender
Blend File: Classroom - Compute: CPU-Only
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Blender
Blend File: Barbershop - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: OpenCL
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Appleseed
Scene: Emily
Appleseed
Scene: Disney Material
Appleseed
Scene: Material Tester
Phoronix Test Suite v10.8.5