Paulls 75F22EPYC
2 x AMD EPYC 7F52 16-Core testing with a Supermicro H11DSU-iN (2.1b BIOS) and llvmpipe 504GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2006303-NI-PAULLS75F77&grs.
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
PyBench
Total For Average Test Times
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: OpenCL
Blender
Blend File: Barbershop - Compute: CPU-Only
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
Blender
Blend File: Barbershop - Compute: OpenCL
Blender
Blend File: Fishy Cat - Compute: OpenCL
Blender
Blend File: Classroom - Compute: OpenCL
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: BMW27 - Compute: OpenCL
Sysbench
Test: CPU
Redis
Test: SET
Redis
Test: LPUSH
Redis
Test: SADD
Redis
Test: LPOP
GROMACS
Water Benchmark
OpenSSL
RSA 4096-bit Performance
Y-Cruncher
Calculating 500M Pi Digits
C-Ray
Total Time - 4K, 16 Rays Per Pixel
Timed LLVM Compilation
Time To Compile
Stockfish
Total Time
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
SVT-AV1
Encoder Mode: Enc Mode 0 - Input: 1080p
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
BYTE Unix Benchmark
Computational Test: Floating-Point Arithmetic
BYTE Unix Benchmark
Computational Test: Register Arithmetic
BYTE Unix Benchmark
Computational Test: Integer Arithmetic
BYTE Unix Benchmark
Computational Test: Dhrystone 2
FFTW
Build: Float + SSE - Size: 2D FFT Size 4096
FFTW
Build: Float + SSE - Size: 2D FFT Size 2048
FFTW
Build: Float + SSE - Size: 2D FFT Size 1024
FFTW
Build: Float + SSE - Size: 1D FFT Size 4096
FFTW
Build: Float + SSE - Size: 1D FFT Size 2048
FFTW
Build: Float + SSE - Size: 1D FFT Size 1024
FFTW
Build: Float + SSE - Size: 2D FFT Size 512
FFTW
Build: Float + SSE - Size: 2D FFT Size 256
FFTW
Build: Float + SSE - Size: 2D FFT Size 128
FFTW
Build: Float + SSE - Size: 1D FFT Size 512
FFTW
Build: Float + SSE - Size: 1D FFT Size 256
FFTW
Build: Float + SSE - Size: 1D FFT Size 128
FFTW
Build: Float + SSE - Size: 2D FFT Size 64
FFTW
Build: Float + SSE - Size: 2D FFT Size 32
FFTW
Build: Float + SSE - Size: 1D FFT Size 64
FFTW
Build: Float + SSE - Size: 1D FFT Size 32
FFTW
Build: Stock - Size: 2D FFT Size 4096
FFTW
Build: Stock - Size: 2D FFT Size 2048
FFTW
Build: Stock - Size: 2D FFT Size 1024
FFTW
Build: Stock - Size: 1D FFT Size 4096
FFTW
Build: Stock - Size: 1D FFT Size 2048
FFTW
Build: Stock - Size: 1D FFT Size 1024
FFTW
Build: Stock - Size: 2D FFT Size 512
FFTW
Build: Stock - Size: 2D FFT Size 256
FFTW
Build: Stock - Size: 2D FFT Size 128
FFTW
Build: Stock - Size: 1D FFT Size 512
FFTW
Build: Stock - Size: 1D FFT Size 256
FFTW
Build: Stock - Size: 1D FFT Size 128
FFTW
Build: Stock - Size: 2D FFT Size 64
FFTW
Build: Stock - Size: 2D FFT Size 32
FFTW
Build: Stock - Size: 1D FFT Size 32
NAMD
ATPase Simulation - 327,506 Atoms
NAS Parallel Benchmarks
Test / Class: SP.B
NAS Parallel Benchmarks
Test / Class: MG.C
NAS Parallel Benchmarks
Test / Class: LU.C
NAS Parallel Benchmarks
Test / Class: IS.D
NAS Parallel Benchmarks
Test / Class: FT.C
NAS Parallel Benchmarks
Test / Class: EP.D
NAS Parallel Benchmarks
Test / Class: EP.C
NAS Parallel Benchmarks
Test / Class: CG.C
NAS Parallel Benchmarks
Test / Class: BT.C
Stream
Type: Scale
Stream
Type: Copy
Mlpack Benchmark
Benchmark: scikit_svm
Sysbench
Test: Memory
Redis
Test: GET
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
FFTW
Build: Stock - Size: 1D FFT Size 64
Stream
Type: Add
Stream
Type: Triad
Phoronix Test Suite v10.8.4