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