Core i9 10980XE
Intel Core i9-10980XE testing with a Gigabyte X299X DESIGNARE 10G (F1 BIOS) and AMD Navi 10 8GB on Ubuntu 19.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/1911271-HU-COREI910993&grt.
ASKAP
Test: tConvolve MT - Gridding
ASKAP
Test: tConvolve MT - Degridding
ASKAP
Test: tConvolve MPI - Gridding
ASKAP
Test: tConvolve MPI - Degridding
ASKAP
Test: tConvolve OpenMP - Gridding
ASKAP
Test: tConvolve OpenMP - Degridding
Blender
Blend File: BMW27 - Compute: CPU-Only
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: CPU-Only
Build2
Time To Compile
dav1d
Video Input: Chimera 1080p
dav1d
Video Input: Summer Nature 4K
dav1d
Video Input: Summer Nature 1080p
dav1d
Video Input: Chimera 1080p 10-bit
GROMACS
Water Benchmark
Himeno Benchmark
Poisson Pressure Solver
miniFE
Problem Size: Small
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: u8s8f32
MKL-DNN DNNL
Harness: Convolution Batch conv_all - Data Type: u8s8f32
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: 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: 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
NAMD
ATPase Simulation - 327,506 Atoms
Timed Linux Kernel Compilation
Time To Compile
Timed LLVM Compilation
Time To Compile
Phoronix Test Suite v10.8.5