AMD EPYC 9374F Genoa Zen 4 Linux Performance
Tests for a future article by Michael Larabel on Phoronix.
HTML result view exported from: https://openbenchmarking.org/result/2211147-PTS-EPYC937413&sgm=1&ppd_RVBZQyA3NUYz=5195&ppd_RVBZQyA3NUYzIDJQ=10390&ppd_RVBZQyA3NzEz=6700&ppd_RVBZQyA3NzEzIDJQ=13400&ppd_RVBZQyA3NzYz=6500&ppd_RVBZQyA3NzYzIDJQ=13000&ppd_RVBZQyA3NzczWA=5500&ppd_RVBZQyA3NzczWCAyUA=11000&hgv=EPYC+9374F%2CEPYC+9374F+-+Power%2CEPYC+9374F+2P%2CEPYC+9374F+2P+-+Power&ppd_RVBZQyA5Mzc0Rg=4850&ppd_RVBZQyA5Mzc0RiAtIFBvd2Vy=4850&ppd_RVBZQyA5Mzc0RiAyUA=9700&ppd_RVBZQyA5Mzc0RiAyUCAtIFBvd2Vy=9700&ppd_RVBZQyA5NTU0=9087&ppd_RVBZQyA5NTU0IC0gUG93ZXI=9087&ppd_RVBZQyA5NTU0IDJQ=18174&ppd_RVBZQyA5NTU0IDJQIC0gUG93ZXI=18174&ppd_RVBZQyA5NjU0=11805&ppd_RVBZQyA5NjU0IC0gUG93ZXI=11805&ppd_RVBZQyA5NjU0IDJQ=23610&ppd_RVBZQyA5NjU0IDJQIC0gUG93ZXI=23610&ppd_WGVvbiBHb2xkIDYzNDI=3008&ppd_WGVvbiBHb2xkIDYzNDIgMlA=6016&ppd_WGVvbiBHb2xkIDYzNDY=1580&ppd_WGVvbiBHb2xkIDYzNDYgMlA=3160&ppd_WGVvbiBQbGF0aW51bSA4MzYy=6100&ppd_WGVvbiBQbGF0aW51bSA4MzYyIDJQ=12200&ppd_WGVvbiBQbGF0aW51bSA4Mzgw=12900&ppd_WGVvbiBQbGF0aW51bSA4MzgwIDJQ=25800&ppt=D&rdt&grr.
WRF
Input: conus 2.5km
NWChem
Input: C240 Buckyball
RELION
Test: Basic - Device: CPU
LeelaChessZero
Backend: Eigen
BRL-CAD
VGR Performance Metric
Xcompact3d Incompact3d
Input: X3D-benchmarking input.i3d
Graph500
Scale: 26
Graph500
Scale: 26
Graph500
Scale: 26
Graph500
Scale: 26
High Performance Conjugate Gradient
Blender
Blend File: Barbershop - Compute: CPU-Only
Timed Linux Kernel Compilation
Build: allmodconfig
Timed Gem5 Compilation
Time To Compile
Timed LLVM Compilation
Build System: Unix Makefiles
OpenSSL
Algorithm: SHA256
Numpy Benchmark
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Timed Node.js Compilation
Time To Compile
asmFish
1024 Hash Memory, 26 Depth
Timed LLVM Compilation
Build System: Ninja
LuxCoreRender
Scene: DLSC - Acceleration: CPU
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
OpenRadioss
Model: Bird Strike on Windshield
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
LuxCoreRender
Scene: Orange Juice - Acceleration: CPU
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
PJSIP
Method: OPTIONS, Stateless
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenRadioss
Model: Rubber O-Ring Seal Installation
Zstd Compression
Compression Level: 19 - Compression Speed
Sysbench
Test: CPU
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
GPAW
Input: Carbon Nanotube
WebP2 Image Encode
Encode Settings: Quality 95, Compression Effort 7
OpenRadioss
Model: Bumper Beam
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
ebizzy
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
simdjson
Throughput Test: TopTweet
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
simdjson
Throughput Test: Kostya
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
GraphicsMagick
Operation: Enhanced
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
WebP2 Image Encode
Encode Settings: Quality 75, Compression Effort 7
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
GraphicsMagick
Operation: Sharpen
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
Blender
Blend File: Classroom - Compute: CPU-Only
Build2
Time To Compile
srsRAN
Test: OFDM_Test
NAS Parallel Benchmarks
Test / Class: EP.D
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
simdjson
Throughput Test: LargeRandom
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
Timed Wasmer Compilation
Time To Compile
Coremark
CoreMark Size 666 - Iterations Per Second
Timed Godot Game Engine Compilation
Time To Compile
Timed Linux Kernel Compilation
Build: defconfig
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Rodinia
Test: OpenMP LavaMD
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
PyPerformance
Benchmark: django_template
ASKAP
Test: tConvolve MPI - Gridding
ASKAP
Test: tConvolve MPI - Degridding
OpenRadioss
Model: Cell Phone Drop Test
QuantLib
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Xmrig
Variant: Monero - Hash Count: 1M
Node.js Express HTTP Load Test
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096
PyPerformance
Benchmark: regex_compile
PyPerformance
Benchmark: crypto_pyaes
NAMD
ATPase Simulation - 327,506 Atoms
Tachyon
Total Time
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
Xmrig
Variant: Wownero - Hash Count: 1M
Blender
Blend File: BMW27 - Compute: CPU-Only
PyPerformance
Benchmark: json_loads
PHPBench
PHP Benchmark Suite
Algebraic Multi-Grid Benchmark
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
Timed Mesa Compilation
Time To Compile
Xcompact3d Incompact3d
Input: input.i3d 193 Cells Per Direction
PyBench
Total For Average Test Times
NAS Parallel Benchmarks
Test / Class: IS.D
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
Pennant
Test: sedovbig
ASTC Encoder
Preset: Exhaustive
LULESH
Liquid-DSP
Threads: 256 - Buffer Length: 256 - Filter Length: 57
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
NAS Parallel Benchmarks
Test / Class: SP.C
Liquid-DSP
Threads: 128 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 64 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 32 - Buffer Length: 256 - Filter Length: 57
Pennant
Test: leblancbig
NAS Parallel Benchmarks
Test / Class: BT.C
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
POV-Ray
Trace Time
ACES DGEMM
Sustained Floating-Point Rate
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160
C-Ray
Total Time - 4K, 16 Rays Per Pixel
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
Timed MPlayer Compilation
Time To Compile
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
NAS Parallel Benchmarks
Test / Class: LU.C
ASTC Encoder
Preset: Thorough
m-queens
Time To Solve
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
Embree
Binary: Pathtracer - Model: Crown
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
Binary: Pathtracer - Model: Asian Dragon
NAS Parallel Benchmarks
Test / Class: CG.C
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
NAS Parallel Benchmarks
Test / Class: SP.B
NAS Parallel Benchmarks
Test / Class: FT.C
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
WebP2 Image Encode
Encode Settings: Default
DaCapo Benchmark
Java Test: Jython
ASTC Encoder
Preset: Medium
Etcpak
Benchmark: Multi-Threaded - Configuration: ETC2
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
NAS Parallel Benchmarks
Test / Class: MG.C
NAS Parallel Benchmarks
Test / Class: EP.C
Timed CPython Compilation
Build Configuration: Default
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenRadioss
CPU Power Consumption Monitor
OpenRadioss
CPU Power Consumption Monitor
OpenRadioss
CPU Power Consumption Monitor
OpenRadioss
CPU Power Consumption Monitor
OpenRadioss
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
Neural Magic DeepSparse
CPU Power Consumption Monitor
oneDNN
CPU Power Consumption Monitor
oneDNN
CPU Power Consumption Monitor
oneDNN
CPU Power Consumption Monitor
OpenFOAM
CPU Power Consumption Monitor
OpenFOAM
CPU Power Consumption Monitor
WebP2 Image Encode
CPU Power Consumption Monitor
WebP2 Image Encode
Encode Settings: Quality 95, Compression Effort 7
WebP2 Image Encode
CPU Power Consumption Monitor
WebP2 Image Encode
Encode Settings: Quality 75, Compression Effort 7
WebP2 Image Encode
CPU Power Consumption Monitor
WebP2 Image Encode
Encode Settings: Default
CPU Power Consumption Monitor
Phoronix Test Suite System Monitoring
Tachyon
CPU Power Consumption Monitor
asmFish
CPU Power Consumption Monitor
asmFish
1024 Hash Memory, 26 Depth
Coremark
CPU Power Consumption Monitor
Coremark
CoreMark Size 666 - Iterations Per Second
m-queens
CPU Power Consumption Monitor
Sysbench
CPU Power Consumption Monitor
Sysbench
Test: CPU
Xmrig
CPU Power Consumption Monitor
Xmrig
Variant: Wownero - Hash Count: 1M
Xmrig
CPU Power Consumption Monitor
Xmrig
Variant: Monero - Hash Count: 1M
OpenSSL
CPU Power Consumption Monitor
OpenSSL
Algorithm: SHA256
OpenSSL
CPU Power Consumption Monitor
OpenSSL
Algorithm: RSA4096
QuantLib
CPU Power Consumption Monitor
QuantLib
PJSIP
CPU Power Consumption Monitor
PJSIP
Method: OPTIONS, Stateless
Liquid-DSP
CPU Power Consumption Monitor
Liquid-DSP
Threads: 256 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
CPU Power Consumption Monitor
Liquid-DSP
Threads: 128 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
CPU Power Consumption Monitor
Liquid-DSP
Threads: 64 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
CPU Power Consumption Monitor
Liquid-DSP
Threads: 32 - Buffer Length: 256 - Filter Length: 57
srsRAN
CPU Power Consumption Monitor
srsRAN
Test: OFDM_Test
srsRAN
CPU Power Consumption Monitor
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
srsRAN
CPU Power Consumption Monitor
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
srsRAN
CPU Power Consumption Monitor
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
srsRAN
CPU Power Consumption Monitor
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
srsRAN
CPU Power Consumption Monitor
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
PHPBench
CPU Power Consumption Monitor
PHPBench
PHP Benchmark Suite
Numpy Benchmark
CPU Power Consumption Monitor
Numpy Benchmark
PyPerformance
CPU Power Consumption Monitor
PyPerformance
CPU Power Consumption Monitor
PyPerformance
CPU Power Consumption Monitor
PyPerformance
CPU Power Consumption Monitor
PyBench
CPU Power Consumption Monitor
BRL-CAD
CPU Power Consumption Monitor
BRL-CAD
VGR Performance Metric
simdjson
CPU Power Consumption Monitor
simdjson
Throughput Test: TopTweet
simdjson
CPU Power Consumption Monitor
simdjson
Throughput Test: DistinctUserID
simdjson
CPU Power Consumption Monitor
simdjson
Throughput Test: Kostya
simdjson
CPU Power Consumption Monitor
simdjson
Throughput Test: LargeRandom
simdjson
CPU Power Consumption Monitor
simdjson
Throughput Test: PartialTweets
Node.js Express HTTP Load Test
CPU Power Consumption Monitor
Node.js Express HTTP Load Test
ebizzy
CPU Power Consumption Monitor
ebizzy
Etcpak
CPU Power Consumption Monitor
Etcpak
Benchmark: Multi-Threaded - Configuration: ETC2
ASTC Encoder
CPU Power Consumption Monitor
ASTC Encoder
Preset: Exhaustive
ASTC Encoder
CPU Power Consumption Monitor
ASTC Encoder
Preset: Thorough
ASTC Encoder
CPU Power Consumption Monitor
ASTC Encoder
Preset: Medium
GraphicsMagick
CPU Power Consumption Monitor
GraphicsMagick
Operation: Sharpen
GraphicsMagick
CPU Power Consumption Monitor
GraphicsMagick
Operation: Enhanced
Kvazaar
CPU Power Consumption Monitor
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
LuxCoreRender
CPU Power Consumption Monitor
LuxCoreRender
Scene: Orange Juice - Acceleration: CPU
LuxCoreRender
CPU Power Consumption Monitor
LuxCoreRender
Scene: DLSC - Acceleration: CPU
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
OSPRay Studio
CPU Power Consumption Monitor
OSPRay Studio
CPU Power Consumption Monitor
OSPRay
CPU Power Consumption Monitor
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay
CPU Power Consumption Monitor
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Intel Open Image Denoise
CPU Power Consumption Monitor
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096
Intel Open Image Denoise
CPU Power Consumption Monitor
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160
Intel Open Image Denoise
CPU Power Consumption Monitor
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer - Model: Crown
Embree
CPU Power Consumption Monitor
Embree
Binary: Pathtracer - Model: Asian Dragon
POV-Ray
CPU Power Consumption Monitor
C-Ray
CPU Power Consumption Monitor
Blender
CPU Power Consumption Monitor
Blender
CPU Power Consumption Monitor
Blender
CPU Power Consumption Monitor
Blender
CPU Power Consumption Monitor
Blender
CPU Power Consumption Monitor
Zstd Compression
CPU Power Consumption Monitor
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
7-Zip Compression
CPU Power Consumption Monitor
7-Zip Compression
Test: Decompression Rating
DaCapo Benchmark
CPU Power Consumption Monitor
Build2
CPU Power Consumption Monitor
Timed Wasmer Compilation
CPU Power Consumption Monitor
Timed CPython Compilation
CPU Power Consumption Monitor
Timed CPython Compilation
CPU Power Consumption Monitor
Timed Node.js Compilation
CPU Power Consumption Monitor
Timed MPlayer Compilation
CPU Power Consumption Monitor
Timed Mesa Compilation
CPU Power Consumption Monitor
Timed Linux Kernel Compilation
CPU Power Consumption Monitor
Timed Linux Kernel Compilation
CPU Power Consumption Monitor
Timed Godot Game Engine Compilation
CPU Power Consumption Monitor
Timed Gem5 Compilation
CPU Power Consumption Monitor
Timed LLVM Compilation
CPU Power Consumption Monitor
Timed LLVM Compilation
CPU Power Consumption Monitor
oneDNN
CPU Power Consumption Monitor
oneDNN
CPU Power Consumption Monitor
oneDNN
CPU Power Consumption Monitor
LeelaChessZero
CPU Power Consumption Monitor
LeelaChessZero
Backend: Eigen
ASKAP
CPU Power Consumption Monitor
ASKAP
Test: tConvolve MPI - Gridding
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
OpenVINO
CPU Power Consumption Monitor
Rodinia
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: SP.B
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: FT.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: EP.D
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: EP.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: BT.C
NWChem
CPU Power Consumption Monitor
ACES DGEMM
CPU Power Consumption Monitor
ACES DGEMM
Sustained Floating-Point Rate
Pennant
CPU Power Consumption Monitor
Pennant
CPU Power Consumption Monitor
LULESH
CPU Power Consumption Monitor
LULESH
Xcompact3d Incompact3d
CPU Power Consumption Monitor
Xcompact3d Incompact3d
CPU Power Consumption Monitor
Xcompact3d Incompact3d
CPU Power Consumption Monitor
Algebraic Multi-Grid Benchmark
CPU Power Consumption Monitor
Algebraic Multi-Grid Benchmark
RELION
CPU Power Consumption Monitor
WRF
CPU Power Consumption Monitor
High Performance Conjugate Gradient
CPU Power Consumption Monitor
High Performance Conjugate Gradient
Graph500
CPU Power Consumption Monitor
Graph500
Scale: 26
NAMD
CPU Power Consumption Monitor
GROMACS
CPU Power Consumption Monitor
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
GPAW
CPU Power Consumption Monitor
Geometric Mean Of All Test Results
Result Composite - AMD EPYC 9374F Genoa Zen 4 Linux Performance
WRF
Performance / Cost - Input: conus 2.5km
NWChem
Performance / Cost - Input: C240 Buckyball
RELION
Performance / Cost - Test: Basic - Device: CPU
LeelaChessZero
Performance / Cost - Backend: Eigen
BRL-CAD
Performance / Cost - VGR Performance Metric
Xcompact3d Incompact3d
Performance / Cost - Input: X3D-benchmarking input.i3d
Graph500
Performance / Cost - Scale: 26
Graph500
Performance / Cost - Scale: 26
Graph500
Performance / Cost - Scale: 26
Graph500
Performance / Cost - Scale: 26
High Performance Conjugate Gradient
Performance / Cost
Blender
Performance / Cost - Blend File: Barbershop - Compute: CPU-Only
Timed Linux Kernel Compilation
Performance / Cost - Build: allmodconfig
Timed Gem5 Compilation
Performance / Cost - Time To Compile
Timed LLVM Compilation
Performance / Cost - Build System: Unix Makefiles
OpenSSL
Performance / Cost - Algorithm: SHA256
Numpy Benchmark
Performance / Cost
OpenFOAM
Performance / Cost - Input: drivaerFastback, Medium Mesh Size - Execution Time
OpenFOAM
Performance / Cost - Input: drivaerFastback, Medium Mesh Size - Mesh Time
Timed Node.js Compilation
Performance / Cost - Time To Compile
asmFish
Performance / Cost - 1024 Hash Memory, 26 Depth
Timed LLVM Compilation
Performance / Cost - Build System: Ninja
LuxCoreRender
Performance / Cost - Scene: DLSC - Acceleration: CPU
OpenRadioss
Performance / Cost - Model: INIVOL and Fluid Structure Interaction Drop Container
OSPRay Studio
Performance / Cost - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Performance / Cost - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
OpenRadioss
Performance / Cost - Model: Bird Strike on Windshield
OSPRay Studio
Performance / Cost - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Performance / Cost - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
OSPRay Studio
Performance / Cost - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Performance / Cost - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Performance / Cost - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Performance / Cost - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OSPRay Studio
Performance / Cost - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay
Performance / Cost - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay
Performance / Cost - Benchmark: gravity_spheres_volume/dim_512/ao/real_time
LuxCoreRender
Performance / Cost - Scene: Orange Juice - Acceleration: CPU
Zstd Compression
Performance / Cost - Compression Level: 19, Long Mode - Decompression Speed
PJSIP
Performance / Cost - Method: OPTIONS, Stateless
OpenVINO
Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenRadioss
Performance / Cost - Model: Rubber O-Ring Seal Installation
Zstd Compression
Performance / Cost - Compression Level: 19 - Compression Speed
Sysbench
Performance / Cost - Test: CPU
Timed CPython Compilation
Performance / Cost - Build Configuration: Released Build, PGO + LTO Optimized
GPAW
Performance / Cost - Input: Carbon Nanotube
WebP2 Image Encode
Performance / Cost - Encode Settings: Quality 95, Compression Effort 7
OpenRadioss
Performance / Cost - Model: Bumper Beam
Blender
Performance / Cost - Blend File: Pabellon Barcelona - Compute: CPU-Only
ebizzy
Performance / Cost
simdjson
Performance / Cost - Throughput Test: PartialTweets
simdjson
Performance / Cost - Throughput Test: DistinctUserID
simdjson
Performance / Cost - Throughput Test: TopTweet
OpenVINO
Performance / Cost - Model: Person Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Person Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Person Detection FP32 - Device: CPU
OpenVINO
Performance / Cost - Model: Person Detection FP32 - Device: CPU
OpenVINO
Performance / Cost - Model: Face Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Face Detection FP16 - Device: CPU
simdjson
Performance / Cost - Throughput Test: Kostya
OpenVINO
Performance / Cost - Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
GraphicsMagick
Performance / Cost - Operation: Enhanced
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Weld Porosity Detection FP16-INT8 - Device: CPU
WebP2 Image Encode
Performance / Cost - Encode Settings: Quality 75, Compression Effort 7
OpenVINO
Performance / Cost - Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Weld Porosity Detection FP16-INT8 - Device: CPU
GraphicsMagick
Performance / Cost - Operation: Sharpen
OpenSSL
Performance / Cost - Algorithm: RSA4096
OpenSSL
Performance / Cost - Algorithm: RSA4096
Blender
Performance / Cost - Blend File: Classroom - Compute: CPU-Only
Build2
Performance / Cost - Time To Compile
srsRAN
Performance / Cost - Test: OFDM_Test
NAS Parallel Benchmarks
Performance / Cost - Test / Class: EP.D
Neural Magic DeepSparse
Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
simdjson
Performance / Cost - Throughput Test: LargeRandom
Neural Magic DeepSparse
Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream
Timed Wasmer Compilation
Performance / Cost - Time To Compile
Coremark
Performance / Cost - CoreMark Size 666 - Iterations Per Second
Timed Godot Game Engine Compilation
Performance / Cost - Time To Compile
Timed Linux Kernel Compilation
Performance / Cost - Build: defconfig
srsRAN
Performance / Cost - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
srsRAN
Performance / Cost - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
Neural Magic DeepSparse
Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Rodinia
Performance / Cost - Test: OpenMP LavaMD
Neural Magic DeepSparse
Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
GROMACS
Performance / Cost - Implementation: MPI CPU - Input: water_GMX50_bare
7-Zip Compression
Performance / Cost - Test: Decompression Rating
7-Zip Compression
Performance / Cost - Test: Compression Rating
PyPerformance
Performance / Cost - Benchmark: django_template
ASKAP
Performance / Cost - Test: tConvolve MPI - Gridding
ASKAP
Performance / Cost - Test: tConvolve MPI - Degridding
OpenRadioss
Performance / Cost - Model: Cell Phone Drop Test
QuantLib
Performance / Cost
Blender
Performance / Cost - Blend File: Fishy Cat - Compute: CPU-Only
Xmrig
Performance / Cost - Variant: Monero - Hash Count: 1M
Node.js Express HTTP Load Test
Performance / Cost
Intel Open Image Denoise
Performance / Cost - Run: RTLightmap.hdr.4096x4096
PyPerformance
Performance / Cost - Benchmark: regex_compile
PyPerformance
Performance / Cost - Benchmark: crypto_pyaes
NAMD
Performance / Cost - ATPase Simulation - 327,506 Atoms
Tachyon
Performance / Cost - Total Time
srsRAN
Performance / Cost - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
Xmrig
Performance / Cost - Variant: Wownero - Hash Count: 1M
Blender
Performance / Cost - Blend File: BMW27 - Compute: CPU-Only
PyPerformance
Performance / Cost - Benchmark: json_loads
PHPBench
Performance / Cost - PHP Benchmark Suite
Algebraic Multi-Grid Benchmark
Performance / Cost
srsRAN
Performance / Cost - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
Timed Mesa Compilation
Performance / Cost - Time To Compile
Xcompact3d Incompact3d
Performance / Cost - Input: input.i3d 193 Cells Per Direction
PyBench
Performance / Cost - Total For Average Test Times
NAS Parallel Benchmarks
Performance / Cost - Test / Class: IS.D
Kvazaar
Performance / Cost - Video Input: Bosphorus 4K - Video Preset: Very Fast
OpenFOAM
Performance / Cost - Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Performance / Cost - Input: drivaerFastback, Small Mesh Size - Mesh Time
Pennant
Performance / Cost - Test: sedovbig
ASTC Encoder
Performance / Cost - Preset: Exhaustive
LULESH
Performance / Cost
Liquid-DSP
Performance / Cost - Threads: 256 - Buffer Length: 256 - Filter Length: 57
srsRAN
Performance / Cost - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
srsRAN
Performance / Cost - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
NAS Parallel Benchmarks
Performance / Cost - Test / Class: SP.C
Liquid-DSP
Performance / Cost - Threads: 128 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Performance / Cost - Threads: 64 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Performance / Cost - Threads: 32 - Buffer Length: 256 - Filter Length: 57
Pennant
Performance / Cost - Test: leblancbig
NAS Parallel Benchmarks
Performance / Cost - Test / Class: BT.C
oneDNN
Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
Embree
Performance / Cost - Binary: Pathtracer ISPC - Model: Asian Dragon
POV-Ray
Performance / Cost - Trace Time
ACES DGEMM
Performance / Cost - Sustained Floating-Point Rate
Intel Open Image Denoise
Performance / Cost - Run: RT.hdr_alb_nrm.3840x2160
Intel Open Image Denoise
Performance / Cost - Run: RT.ldr_alb_nrm.3840x2160
C-Ray
Performance / Cost - Total Time - 4K, 16 Rays Per Pixel
oneDNN
Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
Timed MPlayer Compilation
Performance / Cost - Time To Compile
oneDNN
Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
NAS Parallel Benchmarks
Performance / Cost - Test / Class: LU.C
ASTC Encoder
Performance / Cost - Preset: Thorough
m-queens
Performance / Cost - Time To Solve
oneDNN
Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
Embree
Performance / Cost - Binary: Pathtracer - Model: Crown
Embree
Performance / Cost - Binary: Pathtracer ISPC - Model: Crown
Embree
Performance / Cost - Binary: Pathtracer - Model: Asian Dragon
NAS Parallel Benchmarks
Performance / Cost - Test / Class: CG.C
oneDNN
Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
NAS Parallel Benchmarks
Performance / Cost - Test / Class: SP.B
NAS Parallel Benchmarks
Performance / Cost - Test / Class: FT.C
Xcompact3d Incompact3d
Performance / Cost - Input: input.i3d 129 Cells Per Direction
WebP2 Image Encode
Performance / Cost - Encode Settings: Default
DaCapo Benchmark
Performance / Cost - Java Test: Jython
ASTC Encoder
Performance / Cost - Preset: Medium
Etcpak
Performance / Cost - Benchmark: Multi-Threaded - Configuration: ETC2
oneDNN
Performance / Cost - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
NAS Parallel Benchmarks
Performance / Cost - Test / Class: MG.C
NAS Parallel Benchmarks
Performance / Cost - Test / Class: EP.C
Timed CPython Compilation
Performance / Cost - Build Configuration: Default
Phoronix Test Suite v10.8.5