amd-ryzen-9-5900x-on-linux-ubuntu-2010
Tests for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2011121-FI-AMDRYZEN928.
LeelaChessZero
Backend: BLAS
miniFE
Problem Size: Small
CloverLeaf
Lagrangian-Eulerian Hydrodynamics
CP2K Molecular Dynamics
Fayalite-FIST Data
NAMD
ATPase Simulation - 327,506 Atoms
Dolfyn
Computational Fluid Dynamics
Pennant
Test: sedovbig
Pennant
Test: leblancbig
Timed MrBayes Analysis
Primate Phylogeny Analysis
NWChem
Input: C240 Buckyball
QMCPACK
Timed HMMer Search
Pfam Database Search
Incompact3D
Input: Cylinder
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
LULESH
WebP Image Encode
Encode Settings: Default
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Quality 100, Lossless
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
libgav1
Video Input: Chimera 1080p
libgav1
Video Input: Summer Nature 4K
libgav1
Video Input: Summer Nature 1080p
libgav1
Video Input: Chimera 1080p 10-bit
LibRaw
Post-Processing Benchmark
GraphicsMagick
Operation: Swirl
GraphicsMagick
Operation: Rotate
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Resizing
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: HWB Color Space
oneDNN
Harness: IP Batch 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - 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
dav1d
Video Input: Chimera 1080p
dav1d
Video Input: Summer Nature 4K
dav1d
Video Input: Summer Nature 1080p
dav1d
Video Input: Chimera 1080p 10-bit
OSPray
Demo: San Miguel - Renderer: SciVis
OSPray
Demo: XFrog Forest - Renderer: SciVis
OSPray
Demo: San Miguel - Renderer: Path Tracer
OSPray
Demo: NASA Streamlines - Renderer: SciVis
OSPray
Demo: XFrog Forest - Renderer: Path Tracer
OSPray
Demo: Magnetic Reconnection - Renderer: SciVis
OSPray
Demo: NASA Streamlines - Renderer: Path Tracer
OSPray
Demo: Magnetic Reconnection - Renderer: Path Tracer
TTSIOD 3D Renderer
Phong Rendering With Soft-Shadow Mapping
AOM AV1
Encoder Mode: Speed 0 Two-Pass
AOM AV1
Encoder Mode: Speed 4 Two-Pass
AOM AV1
Encoder Mode: Speed 6 Realtime
AOM AV1
Encoder Mode: Speed 6 Two-Pass
AOM AV1
Encoder Mode: Speed 8 Realtime
Embree
Binary: Pathtracer - Model: Crown
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
Binary: Pathtracer - Model: Asian Dragon
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Slow
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Slow
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
SVT-AV1
Encoder Mode: Enc Mode 0 - Input: 1080p
SVT-AV1
Encoder Mode: Enc Mode 4 - Input: 1080p
SVT-AV1
Encoder Mode: Enc Mode 8 - Input: 1080p
SVT-HEVC
1080p 8-bit YUV To HEVC Video Encode
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
VP9 libvpx Encoding
Speed: Speed 0
VP9 libvpx Encoding
Speed: Speed 5
x264
H.264 Video Encoding
x265
Video Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
Intel Open Image Denoise
Scene: Memorial
OpenVKL
Benchmark: vklBenchmark
OpenVKL
Benchmark: vklBenchmarkVdbVolume
OpenVKL
Benchmark: vklBenchmarkStructuredVolume
OpenVKL
Benchmark: vklBenchmarkUnstructuredVolume
LuxCoreRender
Scene: DLSC
LuxCoreRender
Scene: Rainbow Colors and Prism
Himeno Benchmark
Poisson Pressure Solver
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 2
libavif avifenc
Encoder Speed: 8
libavif avifenc
Encoder Speed: 10
Timed Apache Compilation
Time To Compile
Timed FFmpeg Compilation
Time To Compile
Timed GCC Compilation
Time To Compile
Timed GDB GNU Debugger Compilation
Time To Compile
Timed ImageMagick Compilation
Time To Compile
Timed Linux Kernel Compilation
Time To Compile
Timed LLVM Compilation
Time To Compile
Timed MPlayer Compilation
Time To Compile
Timed PHP Compilation
Time To Compile
C-Ray
Total Time - 4K, 16 Rays Per Pixel
POV-Ray
Trace Time
Smallpt
Global Illumination Renderer; 128 Samples
YafaRay
Total Time For Sample Scene
rays1bench
Large Scene
Numpy Benchmark
AOBench
Size: 2048 x 2048 - Total Time
dcraw
RAW To PPM Image Conversion
DeepSpeech
Acceleration: CPU
FLAC Audio Encoding
WAV To FLAC
LAME MP3 Encoding
WAV To MP3
Ogg Encoding
WAV To Ogg
eSpeak-NG Speech Engine
Text-To-Speech Synthesis
FFmpeg
H.264 HD To NTSC DV
Radiance Benchmark
Test: Serial
Radiance Benchmark
Test: SMP Parallel
R Benchmark
RNNoise
Tachyon
Total Time
libjpeg-turbo tjbench
GROMACS
Water Benchmark
TensorFlow Lite
Model: SqueezeNet
TensorFlow Lite
Model: Inception V4
TensorFlow Lite
Model: NASNet Mobile
TensorFlow Lite
Model: Mobilenet Float
TensorFlow Lite
Model: Mobilenet Quant
TensorFlow Lite
Model: Inception ResNet V2
ASTC Encoder
Preset: Fast
ASTC Encoder
Preset: Medium
ASTC Encoder
Preset: Thorough
ASTC Encoder
Preset: Exhaustive
Basis Universal
Settings: ETC1S
Basis Universal
Settings: UASTC Level 0
Basis Universal
Settings: UASTC Level 2
Basis Universal
Settings: UASTC Level 3
Basis Universal
Settings: UASTC Level 2 + RDO Post-Processing
SQLite Speedtest
Timed Time - Size 1,000
Darktable
Test: Boat - Acceleration: CPU-only
Darktable
Test: Masskrug - Acceleration: CPU-only
Darktable
Test: Server Rack - Acceleration: CPU-only
Darktable
Test: Server Room - Acceleration: CPU-only
GEGL
Operation: Crop
GEGL
Operation: Scale
GEGL
Operation: Cartoon
GEGL
Operation: Reflect
GEGL
Operation: Antialias
GEGL
Operation: Tile Glass
GEGL
Operation: Wavelet Blur
GEGL
Operation: Color Enhance
GEGL
Operation: Rotate 90 Degrees
GIMP
Test: resize
GIMP
Test: rotate
GIMP
Test: auto-levels
GIMP
Test: unsharp-mask
G'MIC
Test: 2D Function Plotting, 1000 Times
G'MIC
Test: Plotting Isosurface Of A 3D Volume, 1000 Times
G'MIC
Test: 3D Elevated Function In Random Colors, 100 Times
Hugin
Panorama Photo Assistant + Stitching Time
LibreOffice
Test: 20 Documents To PDF
OCRMyPDF
Processing 60 Page PDF Document
GNU Octave Benchmark
RawTherapee
Total Benchmark Time
librsvg
Operation: SVG Files To PNG
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 100
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 200
Caffe
Model: AlexNet - Acceleration: CPU - Iterations: 1000
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 100
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 200
Caffe
Model: GoogleNet - Acceleration: CPU - Iterations: 1000
Mobile Neural Network
Model: SqueezeNetV1.0
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: inception-v3
NCNN
Target: CPU - Model: squeezenet
NCNN
Target: CPU - Model: mobilenet
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: CPU - Model: mnasnet
NCNN
Target: CPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: blazeface
NCNN
Target: CPU - Model: googlenet
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: resnet18
NCNN
Target: CPU - Model: alexnet
NCNN
Target: CPU - Model: resnet50
NCNN
Target: CPU - Model: yolov4-tiny
NCNN
Target: Vulkan GPU - Model: squeezenet
NCNN
Target: Vulkan GPU - Model: mobilenet
NCNN
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
NCNN
Target: Vulkan GPU - Model: shufflenet-v2
NCNN
Target: Vulkan GPU - Model: mnasnet
NCNN
Target: Vulkan GPU - Model: efficientnet-b0
NCNN
Target: Vulkan GPU - Model: blazeface
NCNN
Target: Vulkan GPU - Model: googlenet
NCNN
Target: Vulkan GPU - Model: vgg16
NCNN
Target: Vulkan GPU - Model: resnet18
NCNN
Target: Vulkan GPU - Model: alexnet
NCNN
Target: Vulkan GPU - Model: resnet50
NCNN
Target: Vulkan GPU - Model: yolov4-tiny
TNN
Target: CPU - Model: MobileNet v2
TNN
Target: CPU - Model: SqueezeNet v1.1
PlaidML
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
PlaidML
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
Chaos Group V-RAY
Mode: CPU
IndigoBench
Scene: Bedroom
IndigoBench
Scene: Supercar
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Blender
Blend File: Barbershop - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Numenta Anomaly Benchmark
Detector: EXPoSE
Numenta Anomaly Benchmark
Detector: Relative Entropy
Numenta Anomaly Benchmark
Detector: Windowed Gaussian
Numenta Anomaly Benchmark
Detector: Earthgecko Skyline
Numenta Anomaly Benchmark
Detector: Bayesian Changepoint
NeatBench
Appleseed
Scene: Emily
Appleseed
Scene: Disney Material
Appleseed
Scene: Material Tester
Selenium
Benchmark: ARES-6 - Browser: Firefox
Selenium
Benchmark: Kraken - Browser: Firefox
Selenium
Benchmark: Octane - Browser: Firefox
Selenium
Benchmark: WebXPRT - Browser: Firefox
Selenium
Benchmark: Basemark - Browser: Firefox
Selenium
Benchmark: Jetstream - Browser: Firefox
Selenium
Benchmark: CanvasMark - Browser: Firefox
Selenium
Benchmark: MotionMark - Browser: Firefox
Selenium
Benchmark: StyleBench - Browser: Firefox
Selenium
Benchmark: Jetstream 2 - Browser: Firefox
Selenium
Benchmark: Maze Solver - Browser: Firefox
Selenium
Benchmark: Speedometer - Browser: Firefox
Selenium
Benchmark: ARES-6 - Browser: Google Chrome
Selenium
Benchmark: Kraken - Browser: Google Chrome
Selenium
Benchmark: Octane - Browser: Google Chrome
Selenium
Benchmark: WebXPRT - Browser: Google Chrome
Selenium
Benchmark: Basemark - Browser: Google Chrome
Selenium
Benchmark: Jetstream - Browser: Google Chrome
Selenium
Benchmark: CanvasMark - Browser: Google Chrome
Selenium
Benchmark: MotionMark - Browser: Google Chrome
Selenium
Benchmark: StyleBench - Browser: Google Chrome
Selenium
Benchmark: Jetstream 2 - Browser: Google Chrome
Selenium
Benchmark: Maze Solver - Browser: Google Chrome
Selenium
Benchmark: Speedometer - Browser: Google Chrome
Selenium
Benchmark: WASM imageConvolute - Browser: Firefox
Selenium
Benchmark: WASM collisionDetection - Browser: Firefox
Selenium
Benchmark: WASM imageConvolute - Browser: Google Chrome
Selenium
Benchmark: WASM collisionDetection - Browser: Google Chrome
Mlpack Benchmark
Benchmark: scikit_ica
Mlpack Benchmark
Benchmark: scikit_qda
Mlpack Benchmark
Benchmark: scikit_svm
Mlpack Benchmark
Benchmark: scikit_linearridgeregression
Scikit-Learn
Sunflow Rendering System
Global Illumination + Image Synthesis
Tesseract OCR
Time To OCR 7 Images
OpenCV
Test: DNN - Deep Neural Network
oneDNN MKL-DNN
Harness: IP Batch 1D - Data Type: f32
oneDNN MKL-DNN
Harness: IP Batch All - Data Type: f32
oneDNN MKL-DNN
Harness: IP Batch 1D - Data Type: u8s8f32
oneDNN MKL-DNN
Harness: IP Batch All - Data Type: u8s8f32
oneDNN MKL-DNN
Harness: Deconvolution Batch deconv_1d - Data Type: f32
oneDNN MKL-DNN
Harness: Deconvolution Batch deconv_3d - Data Type: f32
oneDNN MKL-DNN
Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32
oneDNN MKL-DNN
Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32
oneDNN MKL-DNN
Harness: Recurrent Neural Network Training - Data Type: f32
oneDNN MKL-DNN
Harness: Recurrent Neural Network Inference - Data Type: f32
Nebular Empirical Analysis Tool
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
Crafty
Elapsed Time
TSCP
AI Chess Performance
John The Ripper
Test: Blowfish
John The Ripper
Test: MD5
Stockfish
Total Time
asmFish
1024 Hash Memory, 26 Depth
Primesieve
1e12 Prime Number Generation
m-queens
Time To Solve
N-Queens
Elapsed Time
OpenSSL
RSA 4096-bit Performance
Aircrack-ng
PyBench
Total For Average Test Times
PyPerformance
Benchmark: go
PyPerformance
Benchmark: 2to3
PyPerformance
Benchmark: chaos
PyPerformance
Benchmark: float
PyPerformance
Benchmark: nbody
PyPerformance
Benchmark: pathlib
PyPerformance
Benchmark: raytrace
PyPerformance
Benchmark: json_loads
PyPerformance
Benchmark: crypto_pyaes
PyPerformance
Benchmark: regex_compile
PyPerformance
Benchmark: python_startup
PyPerformance
Benchmark: django_template
PyPerformance
Benchmark: pickle_pure_python
FFTW
Build: Stock - Size: 1D FFT Size 32
FFTW
Build: Stock - Size: 2D FFT Size 32
FFTW
Build: Stock - Size: 1D FFT Size 4096
FFTW
Build: Stock - Size: 2D FFT Size 4096
FFTW
Build: Float + SSE - Size: 1D FFT Size 32
FFTW
Build: Float + SSE - Size: 2D FFT Size 32
FFTW
Build: Float + SSE - Size: 1D FFT Size 4096
FFTW
Build: Float + SSE - Size: 2D FFT Size 4096
BYTE Unix Benchmark
Computational Test: Dhrystone 2
LuaJIT
Test: Composite
LuaJIT
Test: Monte Carlo
LuaJIT
Test: Fast Fourier Transform
LuaJIT
Test: Sparse Matrix Multiply
LuaJIT
Test: Dense LU Matrix Factorization
LuaJIT
Test: Jacobi Successive Over-Relaxation
Botan
Test: KASUMI
Botan
Test: AES-256
Botan
Test: Twofish
Botan
Test: Blowfish
Botan
Test: CAST-256
Swet
Average
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: NDT Mapping
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Points2Image
Darmstadt Automotive Parallel Heterogeneous Suite
Backend: OpenMP - Kernel: Euclidean Cluster
Optcarrot
Optimized Benchmark
ECP-CANDLE
Benchmark: P1B2
ECP-CANDLE
Benchmark: P3B1
ECP-CANDLE
Benchmark: P3B2
BRL-CAD
VGR Performance Metric
Unigine Heaven
Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL
Unigine Superposition
Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGL
Unigine Superposition
Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGL
yquake2
Renderer: OpenGL 1.x - Resolution: 1920 x 1080
yquake2
Renderer: OpenGL 3.x - Resolution: 1920 x 1080
yquake2
Renderer: Software CPU - Resolution: 1920 x 1080
Redis
Test: LPOP
Redis
Test: SADD
Redis
Test: LPUSH
Redis
Test: GET
Redis
Test: SET
Phoronix Test Suite v10.8.4