AMD EPYC 9684X 2P Genoa-X Benchmarks
Benchmarks by Michael Larabel for a future article for launch day review.
HTML result view exported from: https://openbenchmarking.org/result/2307191-PTS-GENOAX8678&rdt&grr.
WRF
Input: conus 2.5km
High Performance Conjugate Gradient
X Y Z: 192 192 192 - RT: 60
PETSc
Test: Streams
libxsmm
M N K: 128
High Performance Conjugate Gradient
X Y Z: 160 160 160 - RT: 60
High Performance Conjugate Gradient
X Y Z: 104 104 104 - RT: 60
ASKAP
Test: tConvolve MT - Degridding
CP2K Molecular Dynamics
Input: H2O-DFT-LS
libxsmm
M N K: 256
High Performance Conjugate Gradient
X Y Z: 144 144 144 - RT: 60
Xcompact3d Incompact3d
Input: X3D-benchmarking input.i3d
RELION
Test: Basic - Device: CPU
LeelaChessZero
Backend: BLAS
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
Timed LLVM Compilation
Build System: Unix Makefiles
Timed Godot Game Engine Compilation
Time To Compile
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
Timed LLVM Compilation
Build System: Ninja
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
Timed Node.js Compilation
Time To Compile
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
Blender
Blend File: Barbershop - Compute: CPU-Only
Algebraic Multi-Grid Benchmark
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
srsRAN Project
Test: PUSCH Processor Benchmark, Throughput Total
Timed PHP Compilation
Time To Compile
Timed Linux Kernel Compilation
Build: defconfig
ASKAP
Test: tConvolve MPI - Gridding
ASKAP
Test: tConvolve MPI - Degridding
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
Z3 Theorem Prover
SMT File: 2.smt2
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
Xmrig
Variant: Monero - Hash Count: 1M
miniFE
Problem Size: Small
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
NAS Parallel Benchmarks
Test / Class: IS.D
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Xmrig
Variant: Wownero - Hash Count: 1M
Liquid-DSP
Threads: 224 - Buffer Length: 256 - Filter Length: 32
GPAW
Input: Carbon Nanotube
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Slow
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
Z3 Theorem Prover
SMT File: 1.smt2
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512
Embree
Binary: Pathtracer ISPC - Model: Crown
NAS Parallel Benchmarks
Test / Class: BT.C
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512
Embree
Binary: Pathtracer - Model: Asian Dragon
NAS Parallel Benchmarks
Test / Class: LU.C
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512
Xcompact3d Incompact3d
Input: input.i3d 193 Cells Per Direction
NAS Parallel Benchmarks
Test / Class: SP.C
libxsmm
M N K: 64
libxsmm
M N K: 32
NAS Parallel Benchmarks
Test / Class: CG.C
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
NAS Parallel Benchmarks
Test / Class: MG.C
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256
libxsmm
CPU Power Consumption Monitor
libxsmm
M N K: 256
libxsmm
CPU Power Consumption Monitor
libxsmm
M N K: 128
libxsmm
CPU Power Consumption Monitor
libxsmm
M N K: 64
libxsmm
CPU Power Consumption Monitor
libxsmm
M N K: 32
High Performance Conjugate Gradient
CPU Power Consumption Monitor
High Performance Conjugate Gradient
X Y Z: 192 192 192 - RT: 60
CP2K Molecular Dynamics
CPU Power Consumption Monitor
CPU Power Consumption Monitor
Phoronix Test Suite System Monitoring
Xmrig
CPU Power Consumption Monitor
Xmrig
Variant: Wownero - Hash Count: 1M
Xmrig
CPU Power Consumption Monitor
Xmrig
Variant: Monero - Hash Count: 1M
LeelaChessZero
CPU Power Consumption Monitor
LeelaChessZero
Backend: BLAS
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer - Model: Asian Dragon
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
Blender
CPU Power Consumption Monitor
Kvazaar
CPU Power Consumption Monitor
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
Kvazaar
CPU Power Consumption Monitor
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Slow
Z3 Theorem Prover
CPU Power Consumption Monitor
Z3 Theorem Prover
CPU Power Consumption Monitor
Liquid-DSP
CPU Power Consumption Monitor
Liquid-DSP
Threads: 224 - Buffer Length: 256 - Filter Length: 32
srsRAN Project
CPU Power Consumption Monitor
srsRAN Project
Test: PUSCH Processor Benchmark, Throughput Total
Timed Godot Game Engine Compilation
CPU Power Consumption Monitor
Timed PHP Compilation
CPU Power Consumption Monitor
Timed Linux Kernel Compilation
CPU Power Consumption Monitor
Timed LLVM Compilation
CPU Power Consumption Monitor
Timed LLVM Compilation
CPU Power Consumption Monitor
Timed Node.js Compilation
CPU Power Consumption Monitor
PostgreSQL
CPU Power Consumption Monitor
PETSc
CPU Power Consumption Monitor
PETSc
Test: Streams
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: CG.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: MG.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: IS.D
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: SP.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: LU.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: BT.C
High Performance Conjugate Gradient
CPU Power Consumption Monitor
High Performance Conjugate Gradient
X Y Z: 160 160 160 - RT: 60
High Performance Conjugate Gradient
CPU Power Consumption Monitor
High Performance Conjugate Gradient
X Y Z: 144 144 144 - RT: 60
High Performance Conjugate Gradient
CPU Power Consumption Monitor
High Performance Conjugate Gradient
X Y Z: 104 104 104 - RT: 60
Algebraic Multi-Grid Benchmark
CPU Power Consumption Monitor
Algebraic Multi-Grid Benchmark
RELION
CPU Power Consumption Monitor
HeFFTe - Highly Efficient FFT for Exascale
CPU Power Consumption Monitor
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
CPU Power Consumption Monitor
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
CPU Power Consumption Monitor
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
CPU Power Consumption Monitor
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
CPU Power Consumption Monitor
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512
Xcompact3d Incompact3d
CPU Power Consumption Monitor
Xcompact3d Incompact3d
CPU Power Consumption Monitor
Xcompact3d Incompact3d
CPU Power Consumption Monitor
ASKAP
CPU Power Consumption Monitor
ASKAP
Test: tConvolve MT - Degridding
ASKAP
CPU Power Consumption Monitor
ASKAP
Test: tConvolve MPI - Gridding
miniFE
CPU Power Consumption Monitor
miniFE
Problem Size: Small
GPAW
CPU Power Consumption Monitor
WRF
CPU Power Consumption Monitor
OpenFOAM
CPU Power Consumption Monitor
Phoronix Test Suite v10.8.5