EPYC 7601 Extra
AMD EPYC 7601 32-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and llvmpipe 126GB on Ubuntu 19.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/1911029-HU-EPYC7601E78&grt.
dav1d
Video Input: Chimera 1080p
dav1d
Video Input: Summer Nature 4K
dav1d
Video Input: Summer Nature 1080p
dav1d
Video Input: Chimera 1080p 10-bit
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
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
Intel Open Image Denoise
Scene: Memorial
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: 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_alexnet - Data Type: u8s8f32
MKL-DNN DNNL
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
MKL-DNN DNNL
Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32
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
SVT-AV1
Encoder Mode: Enc Mode 0 - Input: 1080p
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
Phoronix Test Suite v10.8.5