Xeon Platinum 8253
Intel Xeon Platinum 8253 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/2002171-VE-XEONPLATI79.
PostMark
Disk Transaction Performance
High Performance Conjugate Gradient
Polyhedron Fortran Benchmarks
Benchmark: ac
Polyhedron Fortran Benchmarks
Benchmark: air
Polyhedron Fortran Benchmarks
Benchmark: mdbx
Polyhedron Fortran Benchmarks
Benchmark: doduc
Polyhedron Fortran Benchmarks
Benchmark: linpk
Polyhedron Fortran Benchmarks
Benchmark: tfft2
Polyhedron Fortran Benchmarks
Benchmark: aermod
Polyhedron Fortran Benchmarks
Benchmark: rnflow
Polyhedron Fortran Benchmarks
Benchmark: induct2
Polyhedron Fortran Benchmarks
Benchmark: protein
Polyhedron Fortran Benchmarks
Benchmark: capacita
Polyhedron Fortran Benchmarks
Benchmark: channel2
Polyhedron Fortran Benchmarks
Benchmark: fatigue2
Polyhedron Fortran Benchmarks
Benchmark: gas_dyn2
Polyhedron Fortran Benchmarks
Benchmark: test_fpu2
Polyhedron Fortran Benchmarks
Benchmark: mp_prop_design
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
John The Ripper
Test: Blowfish
John The Ripper
Test: MD5
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
dav1d
Video Input: Chimera 1080p
dav1d
Video Input: Summer Nature 4K
dav1d
Video Input: Summer Nature 1080p
dav1d
Video Input: Chimera 1080p 10-bit
Timed Apache Compilation
Time To Compile
Timed FFmpeg Compilation
Time To Compile
Timed GDB GNU Debugger Compilation
Time To Compile
Timed PHP Compilation
Time To Compile
rays1bench
Large Scene
Numpy Benchmark
GEGL
Operation: Crop
GEGL
Operation: Scale
GEGL
Operation: Cartoon
GEGL
Operation: Reflect
GEGL
Operation: Antialias
GEGL
Operation: Tile Glass
GEGL
Operation: Wavelet Blur
GEGL
Operation: Color Enhance
GEGL
Operation: Rotate 90 Degrees
Inkscape
Operation: SVG Files To PNG
RawTherapee
Total Benchmark Time
librsvg
Operation: SVG Files To PNG
Chaos Group V-RAY
Mode: CPU
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
PyPerformance
Benchmark: go
PyPerformance
Benchmark: 2to3
PyPerformance
Benchmark: chaos
PyPerformance
Benchmark: float
PyPerformance
Benchmark: nbody
PyPerformance
Benchmark: pathlib
PyPerformance
Benchmark: raytrace
PyPerformance
Benchmark: json_loads
PyPerformance
Benchmark: crypto_pyaes
PyPerformance
Benchmark: regex_compile
PyPerformance
Benchmark: python_startup
PyPerformance
Benchmark: django_template
PyPerformance
Benchmark: pickle_pure_python
Mlpack Benchmark
Benchmark: scikit_svm
Scikit-Learn
Phoronix Test Suite v10.8.5