AMD EPYC Genoa Zen 4 Linux Review
Tests for a future article on Phoronix.
HTML result view exported from: https://openbenchmarking.org/result/2211101-PTS-GENOAREV10&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+9554%2CEPYC+9554+-+Power%2CEPYC+9554+2P%2CEPYC+9554+2P+-+Power%2CEPYC+9654%2CEPYC+9654+-+Power%2CEPYC+9654+2P%2CEPYC+9654+2P+-+Power&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_WGVvbiBQbGF0aW51bSA4MzYy=6100&ppd_WGVvbiBQbGF0aW51bSA4MzYyIDJQ=12200&ppd_WGVvbiBQbGF0aW51bSA4Mzgw=12900&ppd_WGVvbiBQbGF0aW51bSA4MzgwIDJQ=25800&ppt=D&grs&sro.
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
Sysbench
Test: CPU
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Pennant
Test: sedovbig
LeelaChessZero
Backend: Eigen
Liquid-DSP
Threads: 256 - Buffer Length: 256 - Filter Length: 57
Xmrig
Variant: Monero - Hash Count: 1M
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
7-Zip Compression
Test: Decompression Rating
Coremark
CoreMark Size 666 - Iterations Per Second
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
Blender
Blend File: Classroom - Compute: CPU-Only
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
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
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
C-Ray
Total Time - 4K, 16 Rays Per Pixel
NAS Parallel Benchmarks
Test / Class: SP.C
Blender
Blend File: Barbershop - Compute: CPU-Only
m-queens
Time To Solve
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
Neural Magic DeepSparse
Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
Xmrig
Variant: Wownero - Hash Count: 1M
Tachyon
Total Time
Liquid-DSP
Threads: 128 - Buffer Length: 256 - Filter Length: 57
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
ASTC Encoder
Preset: Exhaustive
Blender
Blend File: BMW27 - Compute: CPU-Only
ACES DGEMM
Sustained Floating-Point Rate
OpenSSL
Algorithm: RSA4096
Embree
Binary: Pathtracer - Model: Crown
OpenSSL
Algorithm: RSA4096
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Xcompact3d Incompact3d
Input: input.i3d 193 Cells Per Direction
ASTC Encoder
Preset: Thorough
RELION
Test: Basic - Device: CPU
Rodinia
Test: OpenMP LavaMD
Embree
Binary: Pathtracer - Model: Asian Dragon
NAS Parallel Benchmarks
Test / Class: EP.C
NAS Parallel Benchmarks
Test / Class: BT.C
Embree
Binary: Pathtracer ISPC - Model: Crown
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
OpenVINO
Model: Person Detection FP32 - Device: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
OpenVINO
Model: Person Detection FP16 - Device: CPU
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
NAMD
ATPase Simulation - 327,506 Atoms
NAS Parallel Benchmarks
Test / Class: LU.C
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
asmFish
1024 Hash Memory, 26 Depth
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
WRF
Input: conus 2.5km
Xcompact3d Incompact3d
Input: X3D-benchmarking input.i3d
NAS Parallel Benchmarks
Test / Class: SP.B
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
Timed Linux Kernel Compilation
Build: allmodconfig
LuxCoreRender
Scene: DLSC - Acceleration: CPU
High Performance Conjugate Gradient
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
GraphicsMagick
Operation: Sharpen
Algebraic Multi-Grid Benchmark
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
NAS Parallel Benchmarks
Test / Class: MG.C
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
NAS Parallel Benchmarks
Test / Class: FT.C
ASTC Encoder
Preset: Medium
7-Zip Compression
Test: Compression Rating
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
GPAW
Input: Carbon Nanotube
LuxCoreRender
Scene: Orange Juice - Acceleration: CPU
Timed LLVM Compilation
Build System: Ninja
NAS Parallel Benchmarks
Test / Class: CG.C
GraphicsMagick
Operation: Enhanced
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
Liquid-DSP
Threads: 64 - Buffer Length: 256 - Filter Length: 57
PostgreSQL
Scaling Factor: 1 - Clients: 500 - Mode: Read Only
PostgreSQL
Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
PostgreSQL
Scaling Factor: 1 - Clients: 250 - Mode: Read Only
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160
PostgreSQL
Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160
WebP2 Image Encode
Encode Settings: Quality 95, Compression Effort 7
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096
LULESH
Graph500
Scale: 26
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
POV-Ray
Trace Time
PJSIP
Method: OPTIONS, Stateless
Graph500
Scale: 26
WebP2 Image Encode
Encode Settings: Quality 75, Compression Effort 7
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
NWChem
Input: C240 Buckyball
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Timed Node.js Compilation
Time To Compile
Graph500
Scale: 26
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
Graph500
Scale: 26
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
Timed Linux Kernel Compilation
Build: defconfig
Timed MPlayer Compilation
Time To Compile
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream
OpenRadioss
Model: Cell Phone Drop Test
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
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
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
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: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Timed LLVM Compilation
Build System: Unix Makefiles
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
BRL-CAD
VGR Performance Metric
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ASKAP
Test: tConvolve MPI - Degridding
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
ASKAP
Test: tConvolve MPI - Gridding
OpenSSL
Algorithm: SHA256
OpenRadioss
Model: Rubber O-Ring Seal Installation
Timed Godot Game Engine Compilation
Time To Compile
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: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Etcpak
Benchmark: Multi-Threaded - Configuration: ETC2
Timed Gem5 Compilation
Time To Compile
simdjson
Throughput Test: TopTweet
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
simdjson
Throughput Test: DistinctUserID
simdjson
Throughput Test: PartialTweets
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
Node.js Express HTTP Load Test
Neural Magic DeepSparse
Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Build2
Time To Compile
Timed Mesa Compilation
Time To Compile
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
OpenRadioss
Model: Bird Strike on Windshield
Numpy Benchmark
Liquid-DSP
Threads: 32 - Buffer Length: 256 - Filter Length: 57
PyPerformance
Benchmark: regex_compile
simdjson
Throughput Test: Kostya
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
OpenRadioss
Model: Bumper Beam
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
PyPerformance
Benchmark: json_loads
Zstd Compression
Compression Level: 19 - Compression Speed
srsRAN
Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
DaCapo Benchmark
Java Test: Jython
Timed Wasmer Compilation
Time To Compile
simdjson
Throughput Test: LargeRandom
srsRAN
Test: OFDM_Test
PyPerformance
Benchmark: crypto_pyaes
Timed CPython Compilation
Build Configuration: Default
srsRAN
Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
PHPBench
PHP Benchmark Suite
PyBench
Total For Average Test Times
srsRAN
Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
PyPerformance
Benchmark: django_template
QuantLib
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
PostgreSQL
CPU Power Consumption Monitor
PostgreSQL
CPU Power Consumption Monitor
PostgreSQL
CPU Power Consumption Monitor
PostgreSQL
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
AOM AV1
CPU Power Consumption Monitor
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
AOM AV1
CPU Power Consumption Monitor
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
AOM AV1
CPU Power Consumption Monitor
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
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
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
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
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
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
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
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
Pennant
Test: leblancbig
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 Genoa Zen 4 Linux Review
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Face Detection FP16 - Device: CPU
Sysbench
Performance / Cost - Test: CPU
OSPRay
Performance / Cost - Benchmark: gravity_spheres_volume/dim_512/ao/real_time
Pennant
Performance / Cost - Test: sedovbig
LeelaChessZero
Performance / Cost - Backend: Eigen
Liquid-DSP
Performance / Cost - Threads: 256 - Buffer Length: 256 - Filter Length: 57
Xmrig
Performance / Cost - Variant: Monero - Hash Count: 1M
OpenVINO
Performance / Cost - Model: Weld Porosity Detection FP16 - Device: CPU
7-Zip Compression
Performance / Cost - Test: Decompression Rating
Coremark
Performance / Cost - CoreMark Size 666 - Iterations Per Second
OpenVINO
Performance / Cost - Model: Person Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Person Detection FP32 - Device: CPU
OpenFOAM
Performance / Cost - Input: drivaerFastback, Medium Mesh Size - Execution Time
Blender
Performance / Cost - Blend File: Classroom - Compute: CPU-Only
oneDNN
Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
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
OSPRay Studio
Performance / Cost - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
C-Ray
Performance / Cost - Total Time - 4K, 16 Rays Per Pixel
NAS Parallel Benchmarks
Performance / Cost - Test / Class: SP.C
Blender
Performance / Cost - Blend File: Barbershop - Compute: CPU-Only
m-queens
Performance / Cost - Time To Solve
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: 32 - Renderer: Path Tracer
OpenVINO
Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
Blender
Performance / Cost - Blend File: Pabellon Barcelona - Compute: CPU-Only
OSPRay
Performance / Cost - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay Studio
Performance / Cost - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16 - Device: CPU
Neural Magic DeepSparse
Performance / Cost - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
OSPRay Studio
Performance / Cost - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
Xmrig
Performance / Cost - Variant: Wownero - Hash Count: 1M
Tachyon
Performance / Cost - Total Time
Liquid-DSP
Performance / Cost - Threads: 128 - Buffer Length: 256 - Filter Length: 57
OSPRay Studio
Performance / Cost - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
OpenVINO
Performance / Cost - Model: Machine Translation EN To DE FP16 - Device: CPU
OSPRay Studio
Performance / Cost - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer
ASTC Encoder
Performance / Cost - Preset: Exhaustive
Blender
Performance / Cost - Blend File: BMW27 - Compute: CPU-Only
ACES DGEMM
Performance / Cost - Sustained Floating-Point Rate
OpenSSL
Performance / Cost - Algorithm: RSA4096
Embree
Performance / Cost - Binary: Pathtracer - Model: Crown
OpenSSL
Performance / Cost - Algorithm: RSA4096
Blender
Performance / Cost - Blend File: Fishy Cat - Compute: CPU-Only
Neural Magic DeepSparse
Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Xcompact3d Incompact3d
Performance / Cost - Input: input.i3d 193 Cells Per Direction
ASTC Encoder
Performance / Cost - Preset: Thorough
RELION
Performance / Cost - Test: Basic - Device: CPU
Rodinia
Performance / Cost - Test: OpenMP LavaMD
Embree
Performance / Cost - Binary: Pathtracer - Model: Asian Dragon
NAS Parallel Benchmarks
Performance / Cost - Test / Class: EP.C
NAS Parallel Benchmarks
Performance / Cost - Test / Class: BT.C
Embree
Performance / Cost - Binary: Pathtracer ISPC - Model: Crown
Neural Magic DeepSparse
Performance / Cost - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
Embree
Performance / Cost - Binary: Pathtracer ISPC - Model: Asian Dragon
OpenVINO
Performance / Cost - Model: Person Detection FP32 - Device: CPU
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
OpenVINO
Performance / Cost - Model: Person Detection FP16 - Device: CPU
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
NAMD
Performance / Cost - ATPase Simulation - 327,506 Atoms
NAS Parallel Benchmarks
Performance / Cost - Test / Class: LU.C
oneDNN
Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
asmFish
Performance / Cost - 1024 Hash Memory, 26 Depth
oneDNN
Performance / Cost - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
oneDNN
Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
WRF
Performance / Cost - Input: conus 2.5km
Xcompact3d Incompact3d
Performance / Cost - Input: X3D-benchmarking input.i3d
NAS Parallel Benchmarks
Performance / Cost - Test / Class: SP.B
OpenVINO
Performance / Cost - Model: Person Vehicle Bike Detection FP16 - Device: CPU
Timed Linux Kernel Compilation
Performance / Cost - Build: allmodconfig
LuxCoreRender
Performance / Cost - Scene: DLSC - Acceleration: CPU
High Performance Conjugate Gradient
Performance / Cost
GROMACS
Performance / Cost - Implementation: MPI CPU - Input: water_GMX50_bare
GraphicsMagick
Performance / Cost - Operation: Sharpen
Algebraic Multi-Grid Benchmark
Performance / Cost
OpenVINO
Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
NAS Parallel Benchmarks
Performance / Cost - Test / Class: MG.C
Xcompact3d Incompact3d
Performance / Cost - Input: input.i3d 129 Cells Per Direction
OpenVINO
Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
NAS Parallel Benchmarks
Performance / Cost - Test / Class: FT.C
ASTC Encoder
Performance / Cost - Preset: Medium
7-Zip Compression
Performance / Cost - Test: Compression Rating
OpenFOAM
Performance / Cost - Input: drivaerFastback, Small Mesh Size - Execution Time
GPAW
Performance / Cost - Input: Carbon Nanotube
LuxCoreRender
Performance / Cost - Scene: Orange Juice - Acceleration: CPU
Timed LLVM Compilation
Performance / Cost - Build System: Ninja
NAS Parallel Benchmarks
Performance / Cost - Test / Class: CG.C
GraphicsMagick
Performance / Cost - Operation: Enhanced
PostgreSQL
Performance / Cost - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL
Performance / Cost - Scaling Factor: 100 - Clients: 500 - Mode: Read Only
PostgreSQL
Performance / Cost - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
Liquid-DSP
Performance / Cost - Threads: 64 - Buffer Length: 256 - Filter Length: 57
PostgreSQL
Performance / Cost - Scaling Factor: 1 - Clients: 500 - Mode: Read Only
PostgreSQL
Performance / Cost - Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL
Performance / Cost - Scaling Factor: 100 - Clients: 250 - Mode: Read Only
PostgreSQL
Performance / Cost - Scaling Factor: 1 - Clients: 250 - Mode: Read Only
Intel Open Image Denoise
Performance / Cost - Run: RT.hdr_alb_nrm.3840x2160
PostgreSQL
Performance / Cost - Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency
Intel Open Image Denoise
Performance / Cost - Run: RT.ldr_alb_nrm.3840x2160
WebP2 Image Encode
Performance / Cost - Encode Settings: Quality 95, Compression Effort 7
Intel Open Image Denoise
Performance / Cost - Run: RTLightmap.hdr.4096x4096
LULESH
Performance / Cost
Graph500
Performance / Cost - Scale: 26
OpenVINO
Performance / Cost - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
POV-Ray
Performance / Cost - Trace Time
PJSIP
Performance / Cost - Method: OPTIONS, Stateless
Graph500
Performance / Cost - Scale: 26
WebP2 Image Encode
Performance / Cost - Encode Settings: Quality 75, Compression Effort 7
Neural Magic DeepSparse
Performance / Cost - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
NWChem
Performance / Cost - Input: C240 Buckyball
Neural Magic DeepSparse
Performance / Cost - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Timed Node.js Compilation
Performance / Cost - Time To Compile
Graph500
Performance / Cost - Scale: 26
Kvazaar
Performance / Cost - Video Input: Bosphorus 4K - Video Preset: Very Fast
Graph500
Performance / Cost - Scale: 26
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
Timed Linux Kernel Compilation
Performance / Cost - Build: defconfig
Timed MPlayer Compilation
Performance / Cost - Time To Compile
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
OpenRadioss
Performance / Cost - Model: Cell Phone Drop Test
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
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
OpenRadioss
Performance / Cost - Model: INIVOL and Fluid Structure Interaction Drop Container
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: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream
Timed LLVM Compilation
Performance / Cost - Build System: Unix Makefiles
OpenVINO
Performance / Cost - Model: Face Detection FP16 - Device: CPU
OpenVINO
Performance / Cost - Model: Vehicle Detection FP16 - Device: CPU
BRL-CAD
Performance / Cost - VGR Performance Metric
OpenVINO
Performance / Cost - Model: Weld Porosity Detection FP16 - Device: CPU
oneDNN
Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
OpenVINO
Performance / Cost - Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ASKAP
Performance / Cost - Test: tConvolve MPI - Degridding
OpenVINO
Performance / Cost - Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Performance / Cost - Model: Machine Translation EN To DE FP16 - Device: CPU
ASKAP
Performance / Cost - Test: tConvolve MPI - Gridding
OpenSSL
Performance / Cost - Algorithm: SHA256
OpenRadioss
Performance / Cost - Model: Rubber O-Ring Seal Installation
Timed Godot Game Engine Compilation
Performance / Cost - Time To Compile
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: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
Neural Magic DeepSparse
Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream
OpenFOAM
Performance / Cost - Input: drivaerFastback, Small Mesh Size - Mesh Time
OpenFOAM
Performance / Cost - Input: drivaerFastback, Medium Mesh Size - Mesh Time
Etcpak
Performance / Cost - Benchmark: Multi-Threaded - Configuration: ETC2
Timed Gem5 Compilation
Performance / Cost - Time To Compile
simdjson
Performance / Cost - Throughput Test: TopTweet
Neural Magic DeepSparse
Performance / Cost - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
simdjson
Performance / Cost - Throughput Test: DistinctUserID
simdjson
Performance / Cost - Throughput Test: PartialTweets
srsRAN
Performance / Cost - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
Node.js Express HTTP Load Test
Performance / Cost
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream
Build2
Performance / Cost - Time To Compile
Timed Mesa Compilation
Performance / Cost - Time To Compile
AOM AV1
Performance / Cost - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
Neural Magic DeepSparse
Performance / Cost - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
OpenRadioss
Performance / Cost - Model: Bird Strike on Windshield
Numpy Benchmark
Performance / Cost
Liquid-DSP
Performance / Cost - Threads: 32 - Buffer Length: 256 - Filter Length: 57
PyPerformance
Performance / Cost - Benchmark: regex_compile
simdjson
Performance / Cost - Throughput Test: Kostya
AOM AV1
Performance / Cost - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
srsRAN
Performance / Cost - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM
Neural Magic DeepSparse
Performance / Cost - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream
srsRAN
Performance / Cost - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM
OpenRadioss
Performance / Cost - Model: Bumper Beam
Zstd Compression
Performance / Cost - Compression Level: 19, Long Mode - Decompression Speed
AOM AV1
Performance / Cost - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
PyPerformance
Performance / Cost - Benchmark: json_loads
Zstd Compression
Performance / Cost - Compression Level: 19 - Compression Speed
srsRAN
Performance / Cost - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM
DaCapo Benchmark
Performance / Cost - Java Test: Jython
Timed Wasmer Compilation
Performance / Cost - Time To Compile
simdjson
Performance / Cost - Throughput Test: LargeRandom
srsRAN
Performance / Cost - Test: OFDM_Test
PyPerformance
Performance / Cost - Benchmark: crypto_pyaes
Timed CPython Compilation
Performance / Cost - Build Configuration: Default
srsRAN
Performance / Cost - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM
PHPBench
Performance / Cost - PHP Benchmark Suite
PyBench
Performance / Cost - Total For Average Test Times
srsRAN
Performance / Cost - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM
PyPerformance
Performance / Cost - Benchmark: django_template
QuantLib
Performance / Cost
Timed CPython Compilation
Performance / Cost - Build Configuration: Released Build, PGO + LTO Optimized
WebP2 Image Encode
Performance / Cost - Encode Settings: Default
ebizzy
Performance / Cost
oneDNN
Performance / Cost - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
NAS Parallel Benchmarks
Performance / Cost - Test / Class: IS.D
NAS Parallel Benchmarks
Performance / Cost - Test / Class: EP.D
Pennant
Performance / Cost - Test: leblancbig
Phoronix Test Suite v10.8.5