extra new ryzen zen4
Benchmarks for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2301091-PTS-EXTRANEW50&rdt&grr.
Timed Linux Kernel Compilation
Build: allmodconfig
Blender
Blend File: Barbershop - Compute: CPU-Only
LeelaChessZero
Backend: Eigen
GNU Radio
Test: Hilbert Transform
GNU Radio
Test: FM Deemphasis Filter
GNU Radio
Test: IIR Filter
GNU Radio
Test: FIR Filter
GNU Radio
Test: Signal Source (Cosine)
GNU Radio
Test: Five Back to Back FIR Filters
Timed LLVM Compilation
Build System: Unix Makefiles
Timed LLVM Compilation
Build System: Ninja
nekRS
Input: TurboPipe Periodic
Appleseed
Scene: Emily
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
JPEG XL libjxl
Input: JPEG - Quality: 100
LeelaChessZero
Backend: BLAS
Blender
Blend File: Classroom - Compute: CPU-Only
Appleseed
Scene: Disney Material
Appleseed
Scene: Material Tester
JPEG XL libjxl
Input: PNG - Quality: 100
ONNX Runtime
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Standard
ONNX Runtime
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Standard
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Standard
SVT-HEVC
Tuning: 1 - Input: Bosphorus 4K
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
GPAW
Input: Carbon Nanotube
Mobile Neural Network
Model: inception-v3
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: SqueezeNetV1.0
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: squeezenetv1.1
Mobile Neural Network
Model: mobilenetV3
Mobile Neural Network
Model: nasnet
Rodinia
Test: OpenMP LavaMD
OpenSSL
Algorithm: SHA256
Primesieve
Length: 1e13
NAS Parallel Benchmarks
Test / Class: EP.D
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
TNN
Target: CPU - Model: DenseNet
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Xmrig
Variant: Monero - Hash Count: 1M
NAS Parallel Benchmarks
Test / Class: SP.C
Tachyon
Total Time
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
libavif avifenc
Encoder Speed: 0
ONNX Runtime
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: super-resolution-10 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: super-resolution-10 - Device: CPU - Executor: Standard
Stockfish
Total Time
Blender
Blend File: BMW27 - Compute: CPU-Only
asmFish
1024 Hash Memory, 26 Depth
Xmrig
Variant: Wownero - Hash Count: 1M
JPEG XL libjxl
Input: JPEG - Quality: 80
JPEG XL libjxl
Input: PNG - Quality: 80
NAS Parallel Benchmarks
Test / Class: BT.C
Build2
Time To Compile
Timed Godot Game Engine Compilation
Time To Compile
Stargate Digital Audio Workstation
Sample Rate: 192000 - Buffer Size: 512
simdjson
Throughput Test: Kostya
Stargate Digital Audio Workstation
Sample Rate: 192000 - Buffer Size: 1024
JPEG XL libjxl
Input: JPEG - Quality: 90
NAMD
ATPase Simulation - 327,506 Atoms
Timed Linux Kernel Compilation
Build: defconfig
JPEG XL libjxl
Input: PNG - Quality: 90
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
Ngspice
Circuit: C2670
simdjson
Throughput Test: LargeRandom
Rodinia
Test: OpenMP Leukocyte
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
Ngspice
Circuit: C7552
PyPerformance
Benchmark: python_startup
Chaos Group V-RAY
Mode: CPU
VP9 libvpx Encoding
Speed: Speed 0 - Input: Bosphorus 4K
NCNN
Target: CPU - Model: FastestDet
NCNN
Target: CPU - Model: vision_transformer
NCNN
Target: CPU - Model: regnety_400m
NCNN
Target: CPU - Model: squeezenet_ssd
NCNN
Target: CPU - Model: yolov4-tiny
NCNN
Target: CPU - Model: resnet50
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: resnet18
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: blazeface
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU - Model: mobilenet
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
ASTC Encoder
Preset: Exhaustive
simdjson
Throughput Test: DistinctUserID
simdjson
Throughput Test: TopTweet
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 512
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
simdjson
Throughput Test: PartialTweets
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
IndigoBench
Acceleration: CPU - Scene: Bedroom
IndigoBench
Acceleration: CPU - Scene: Supercar
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: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
Stargate Digital Audio Workstation
Sample Rate: 96000 - Buffer Size: 1024
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
libavif avifenc
Encoder Speed: 2
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity 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
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
Rodinia
Test: OpenMP HotSpot3D
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
NAS Parallel Benchmarks
Test / Class: LU.C
SVT-HEVC
Tuning: 1 - Input: Bosphorus 1080p
C-Ray
Total Time - 4K, 16 Rays Per Pixel
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream
Timed PHP Compilation
Time To Compile
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
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
Timed GDB GNU Debugger Compilation
Time To Compile
Timed Wasmer Compilation
Time To Compile
Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 512
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 512
Stargate Digital Audio Workstation
Sample Rate: 480000 - Buffer Size: 1024
NAS Parallel Benchmarks
Test / Class: IS.D
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
Stargate Digital Audio Workstation
Sample Rate: 44100 - Buffer Size: 1024
PyPerformance
Benchmark: raytrace
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
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 Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream
Timed FFmpeg Compilation
Time To Compile
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 19 - Compression Speed
Timed Mesa Compilation
Time To Compile
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
JPEG XL Decoding libjxl
CPU Threads: 1
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 Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream
Neural Magic DeepSparse
Model: CV Classification, ResNet-50 ImageNet - 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: Synchronous Single-Stream
Neural Magic DeepSparse
Model: CV Detection,YOLOv5s COCO - 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
Zstd Compression
Compression Level: 8 - Decompression Speed
Zstd Compression
Compression Level: 8 - Compression Speed
Zstd Compression
Compression Level: 3 - Decompression Speed
Zstd Compression
Compression Level: 3 - Compression Speed
Zstd Compression
Compression Level: 3, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 3, Long Mode - Compression Speed
Zstd Compression
Compression Level: 8, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 8, Long Mode - Compression Speed
ASTC Encoder
Preset: Thorough
Coremark
CoreMark Size 666 - Iterations Per Second
Git
Time To Complete Common Git Commands
VP9 libvpx Encoding
Speed: Speed 0 - Input: Bosphorus 1080p
x265
Video Input: Bosphorus 4K
Y-Cruncher
Pi Digits To Calculate: 1B
PyPerformance
Benchmark: 2to3
PyPerformance
Benchmark: django_template
PyPerformance
Benchmark: pathlib
Timed MPlayer Compilation
Time To Compile
Aircrack-ng
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
Cpuminer-Opt
Algorithm: Garlicoin
Cpuminer-Opt
Algorithm: Blake-2 S
Cpuminer-Opt
Algorithm: scrypt
Cpuminer-Opt
Algorithm: Magi
Cpuminer-Opt
Algorithm: Myriad-Groestl
Cpuminer-Opt
Algorithm: Ringcoin
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
Cpuminer-Opt
Algorithm: Deepcoin
Cpuminer-Opt
Algorithm: Skeincoin
Cpuminer-Opt
Algorithm: x25x
PyPerformance
Benchmark: regex_compile
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
Liquid-DSP
Threads: 2 - Buffer Length: 256 - Filter Length: 57
PyPerformance
Benchmark: nbody
NAS Parallel Benchmarks
Test / Class: SP.B
VP9 libvpx Encoding
Speed: Speed 5 - Input: Bosphorus 4K
PyPerformance
Benchmark: pickle_pure_python
QuantLib
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
PyPerformance
Benchmark: go
x264
Video Input: Bosphorus 4K
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 57
PyPerformance
Benchmark: crypto_pyaes
PyPerformance
Benchmark: json_loads
ASTC Encoder
Preset: Fast
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
Crafty
Elapsed Time
NAS Parallel Benchmarks
Test / Class: FT.C
JPEG XL Decoding libjxl
CPU Threads: All
PyPerformance
Benchmark: float
Liquid-DSP
Threads: 24 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 1 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 4 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 57
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
PyPerformance
Benchmark: chaos
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
PHPBench
PHP Benchmark Suite
NAS Parallel Benchmarks
Test / Class: CG.C
Rodinia
Test: OpenMP CFD Solver
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
Timed Apache Compilation
Time To Compile
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Y-Cruncher
Pi Digits To Calculate: 500M
PyBench
Total For Average Test Times
Primesieve
Length: 1e12
FLAC Audio Encoding
WAV To FLAC
DaCapo Benchmark
Java Test: Tradebeans
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
SVT-HEVC
Tuning: 7 - Input: Bosphorus 4K
Timed CPython Compilation
Build Configuration: Default
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
VP9 libvpx Encoding
Speed: Speed 5 - Input: Bosphorus 1080p
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Medium
WebP Image Encode
Encode Settings: Quality 100, Lossless
Rodinia
Test: OpenMP Streamcluster
DaCapo Benchmark
Java Test: H2
GIMP
Test: unsharp-mask
Algebraic Multi-Grid Benchmark
GIMP
Test: resize
ASTC Encoder
Preset: Medium
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
GIMP
Test: auto-levels
GIMP
Test: rotate
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 4K
libavif avifenc
Encoder Speed: 6, Lossless
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
NAS Parallel Benchmarks
Test / Class: EP.C
NAS Parallel Benchmarks
Test / Class: MG.C
TNN
Target: CPU - Model: SqueezeNet v2
x265
Video Input: Bosphorus 1080p
DaCapo Benchmark
Java Test: Tradesoap
SVT-HEVC
Tuning: 10 - Input: Bosphorus 4K
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
libavif avifenc
Encoder Speed: 6
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
LAME MP3 Encoding
WAV To MP3
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
Darktable
Test: Boat - Acceleration: CPU-only
Darktable
Test: Masskrug - Acceleration: CPU-only
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
SVT-HEVC
Tuning: 7 - Input: Bosphorus 1080p
libavif avifenc
Encoder Speed: 10, Lossless
Darktable
Test: Server Room - Acceleration: CPU-only
x264
Video Input: Bosphorus 1080p
DaCapo Benchmark
Java Test: Jython
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 10 - Input: Bosphorus 1080p
WebP Image Encode
Encode Settings: Quality 100
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
WebP Image Encode
Encode Settings: Default
Darktable
Test: Server Rack - Acceleration: CPU-only
Phoronix Test Suite v10.8.5