Tuxedo Drivers Ryzen 7 7840HS Linux Perf

AMD Ryzen 7 7840HS Linux benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2402117-NE-JANUARYLA61
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Web Browsers 1 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 7 Tests
Compression Tests 3 Tests
CPU Massive 11 Tests
Creator Workloads 15 Tests
Desktop Graphics 2 Tests
Encoding 4 Tests
Game Development 2 Tests
HPC - High Performance Computing 4 Tests
Imaging 3 Tests
Machine Learning 4 Tests
Multi-Core 17 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 2 Tests
Programmer / Developer System Benchmarks 8 Tests
Python 2 Tests
Renderers 4 Tests
Server CPU Tests 10 Tests
Single-Threaded 2 Tests
Video Encoding 4 Tests
Common Workstation Benchmarks 2 Tests

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stock
January 20
  5 Hours, 21 Minutes
performance
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stock

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

performance

Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Phoenix1 4GB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7921K

OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2880x1800

Tuxedo Drivers Ryzen 7 7840HS Linux PerfOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads)NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS)AMD Device 14e84 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT2000GB Samsung SSD 980 PRO 2TBAMD Phoenix1 4GB (2700/800MHz)AMD Rembrandt Radeon HD AudioMEDIATEK MT7921KUbuntu 23.106.7.0-060700-generic (x86_64)GNOME Shell 45.2X Server 1.21.1.74.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56)GCC 13.2.0ext42880x1800ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionTuxedo Drivers Ryzen 7 7840HS Linux Perf BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104- GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001- Python 3.11.6- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

stock vs. performance ComparisonPhoronix Test SuiteBaseline+5.3%+5.3%+10.6%+10.6%+15.9%+15.9%21%19.9%18%17.2%15.7%15.4%15.4%15.2%15.2%15.2%15.2%14.9%14.5%14.5%14.4%14.3%14%14%13.9%13.5%13.4%13.3%13.2%12.8%12.7%12.7%12.6%11.6%11.6%10.9%10.7%10.4%10.3%10.1%10%9.9%9.1%8.7%8.2%7.8%6.8%6.1%6.1%6%5.5%5.1%5%4.4%4.4%4.3%3.9%3.3%2.9%2.6%3.3%4.3%Bosphorus 4K - Ultra FastBosphorus 4K - Super FastBosphorus 4K - Very FastPreset 8 - Bosphorus 4KH.E.R.F.I - CPUW.P.D.F.I - CPUH.E.R.F.I - CPUF.D.R.F.I - CPUF.D.R.F.I - CPUBosphorus 4K - Super FastA.G.R.R.0.F.I - CPUW.P.D.F.I - CPUF.D.F.I - CPUF.D.F.I - CPUBosphorus 4K - Very FastBosphorus 4K - Ultra FastV.D.F.I - CPUPreset 4 - Bosphorus 4KV.D.F.I - CPUP.V.B.D.F - CPUA.G.R.R.0.F.I - CPUBMW27 - CPU-OnlyP.V.B.D.F - CPUCPU - SupercarCPU - BedroomDisney MaterialCPUM.T.E.T.D.F - CPUM.T.E.T.D.F - CPUEmilyServer Rack - CPU-onlyBoat - CPU-onlyTime To CompileD.RPreset 12 - Bosphorus 4KdefconfigPathtracer ISPC - CrownBosphorus 4K - FastPreset 13 - Bosphorus 4KTime To CompileServer Room - CPU-onlyMasskrug - CPU-onlyPathtracer ISPC - Asian DragonCPU - 64 - ResNet-152CPU - 64 - ResNet-50CPU - 64 - Efficientnet_v2_lCPU - 1 - ResNet-152Time To CompileCompression RatingWavelet Contour - 1920 x 1080T.B.TWavelet Volume - 1920 x 1080CPU - 1 - ResNet-50Bosphorus 4K - Faster2.7%Time To CompileWavelet Volume - 1920 x 1080Wavelet Contour - 1920 x 1080uvg266uvg266uvg266SVT-AV1OpenVINOOpenVINOOpenVINOOpenVINOOpenVINOKvazaarOpenVINOOpenVINOOpenVINOOpenVINOKvazaarKvazaarOpenVINOSVT-AV1OpenVINOOpenVINOOpenVINOBlenderOpenVINOIndigoBenchIndigoBenchAppleseedChaos Group V-RAYOpenVINOOpenVINOAppleseedDarktableDarktableTimed FFmpeg Compilation7-Zip CompressionSVT-AV1Timed Linux Kernel CompilationEmbreeVVenCSVT-AV1Timed Godot Game Engine CompilationDarktableDarktableEmbreePyTorchPyTorchPyTorchPyTorchTimed PHP Compilation7-Zip CompressionParaViewRawTherapeeParaViewTensorFlowVVenCTimed Apache CompilationParaViewParaViewstockperformance

Tuxedo Drivers Ryzen 7 7840HS Linux Perfbuild-godot: Time To Compileselenium: Jetstream 2 - Firefoxunigine-super: 1920 x 1080 - Fullscreen - Low - OpenGLtensorflow: CPU - 64 - ResNet-50appleseed: Emilypytorch: CPU - 64 - Efficientnet_v2_lgravitymark: 1920 x 1080 - Vulkanllamafile: mistral-7b-instruct-v0.2.Q8_0 - CPUvvenc: Bosphorus 4K - Fastpytorch: CPU - 64 - ResNet-152blender: BMW27 - CPU-Onlyvkmark: 1920 x 1080 - Mailboxappleseed: Disney Materialglmark2: 1920 x 1080build-linux-kernel: defconfigpytorch: CPU - 1 - Efficientnet_v2_lselenium: Jetstream 2 - Google Chromev-ray: CPUvvenc: Bosphorus 4K - Fasterbuild-php: Time To Compilecompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedembree: Pathtracer ISPC - Crowncompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speed3dmark: 1920 x 1080compress-zstd: 12 - Decompression Speedcompress-zstd: 12 - Compression Speedopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUpyperformance: python_startupindigobench: CPU - Bedroomindigobench: CPU - Supercaropenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUpytorch: CPU - 64 - ResNet-50rawtherapee: Total Benchmark Timepytorch: CPU - 1 - ResNet-152openscad: Pistolembree: Pathtracer ISPC - Asian Dragonbuild-ffmpeg: Time To Compilesvt-av1: Preset 4 - Bosphorus 4Kselenium: Speedometer - Google Chromeparaview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080uvg266: Bosphorus 4K - Very Fastsvt-av1: Preset 13 - Bosphorus 4Kllamafile: llava-v1.5-7b-q4 - CPUparaview: Many Spheres - 1920 x 1080paraview: Many Spheres - 1920 x 1080pyperformance: django_templatepyperformance: crypto_pyaesselenium: PSPDFKit WASM - Google Chromeuvg266: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Very Fastpyperformance: regex_compileuvg266: Bosphorus 4K - Ultra Fastopenscad: Mini-ITX Casecompress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingpytorch: CPU - 1 - ResNet-50compress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedpyperformance: json_loadskvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Preset 8 - Bosphorus 4Kgimp: unsharp-maskbuild-apache: Time To Compilegimp: auto-levelsparaview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080pybench: Total For Average Test Timesphpbench: PHP Benchmark Suiteselenium: Kraken - Google Chromegimp: resizegimp: rotateselenium: WASM collisionDetection - Google Chrometensorflow: CPU - 1 - ResNet-50svt-av1: Preset 12 - Bosphorus 4Kdarktable: Boat - CPU-onlyselenium: WASM imageConvolute - Google Chromedarktable: Masskrug - CPU-onlyopenscad: Projector Mount Swiveldarktable: Server Room - CPU-onlydarktable: Server Rack - CPU-onlystockperformance430.845183.41768.922.88369.6811638.3142.85.484.07212.75148.692646205.22414538113.46812.01288.392106108.41168.1761619.512.311.15221574.66.8596.511949.9121.1403.279.907.301.8534.12266.2160.327.33542.9735.91221.436.83582.184.551735.477.93997.220.3819400.1030.2259.74520.3255.48513.332456.2023.6402953703.303231.4616.9398.3749.032949.85829.4321.245.5252417.8721.3971.421.2225.6505257.544.54636067548749.945574.7878.165048.5138.2711.826.9736.1328.76715.45120.22213.8761623.833155.825871103866422.313.48513.187258.2312.58100.9106.14419.233.8674.2452.8150.392399.748186.90969.023.19333.2129868.7342.85.554.42613.52131.212651182.1427654597103.24012.10286.906119438.18765.2781638.912.412.16181557.86.8097.501986.9120.9352.2711.347.282.0884.64959.3467.326.46614.6331.13256.245.99663.253.951999.216.901150.780.3322003.9531.8857.48021.3355.09214.139950.9734.1492963827.156239.2019.98106.4419.112949.41229.4221.045.5254621.4224.4671.125.6725.7065219.744.50700017880750.885594.7879.975043.9137.8211.831.0641.2933.70815.34919.70913.8071693.833162.545931103996422.413.39013.290258.8512.95110.9925.56619.323.6434.2612.6370.354OpenBenchmarking.org

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compilestockperformance90180270360450SE +/- 0.10, N = 3SE +/- 0.21, N = 3430.85399.75
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption Monitorstockperformance1122334455Min: 5.2 / Avg: 32.94 / Max: 35.45Min: 4.96 / Avg: 49.87 / Max: 54.511. stock: Approximate power consumption of 14361 Joules per run.2. performance: Approximate power consumption of 20197 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compilestockperformance80160240320400Min: 430.74 / Avg: 430.85 / Max: 431.05Min: 399.37 / Avg: 399.75 / Max: 400.1

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Firefoxstockperformance4080120160200SE +/- 1.49, N = 3SE +/- 1.40, N = 11183.42186.911. firefox 121.0.1
OpenBenchmarking.orgScore Per Watt, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Firefoxstockperformance369121512.6013.50
MinAvgMaxstock5.114.632.4performance4.913.844.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor12243648601. stock: Approximate power consumption of 1834 Joules per run.2. performance: Approximate power consumption of 1988 Joules per run.
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Firefoxstockperformance306090120150Min: 181.43 / Avg: 183.42 / Max: 186.33Min: 176.01 / Avg: 186.91 / Max: 191.331. firefox 121.0.1

Unigine Superposition

This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLstockperformance1530456075SE +/- 0.12, N = 3SE +/- 0.62, N = 768.969.0MAX: 101MAX: 103.8
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLstockperformance0.470.941.411.882.352.0891.666
MinAvgMaxstock4.933.035.1performance5.241.451.1OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Superposition 1.0CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 6344 Joules per run.2. performance: Approximate power consumption of 7923 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLstockperformance1326395265Min: 68.7 / Avg: 68.87 / Max: 69.1Min: 65.7 / Avg: 69 / Max: 70.6

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50stockperformance612182430SE +/- 0.01, N = 3SE +/- 0.25, N = 322.8823.19
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50stockperformance0.15190.30380.45570.60760.75950.6750.524
MinAvgMaxstock5.433.935.2performance4.644.351.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 10704 Joules per run.2. performance: Approximate power consumption of 13754 Joules per run.
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50stockperformance510152025Min: 22.87 / Avg: 22.88 / Max: 22.9Min: 22.74 / Avg: 23.19 / Max: 23.59

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Emilystockperformance80160240320400369.68333.21
MinAvgMaxstock5.234.535.5performance5.352.454.6OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor1530456075

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lstockperformance246810SE +/- 0.09, N = 3SE +/- 0.09, N = 38.318.73MIN: 5.73 / MAX: 8.96MIN: 5.86 / MAX: 9.52
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lstockperformance0.05490.10980.16470.21960.27450.2440.194
MinAvgMaxstock5.334.135.1performance5.144.949.5OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor14284256701. stock: Approximate power consumption of 8028 Joules per run.2. performance: Approximate power consumption of 10093 Joules per run.
OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lstockperformance3691215Min: 8.13 / Avg: 8.31 / Max: 8.41Min: 8.56 / Avg: 8.73 / Max: 8.85

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPUs and render hundreds of thousands of objects in real-time all using GPU acceleration. GravityMark supports a variety of graphics rendering APIs and optionally supports accelerated ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.82Resolution: 1920 x 1080 - Renderer: Vulkanstockperformance1020304050SE +/- 0.45, N = 3SE +/- 0.43, N = 342.842.8
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterGravityMark 1.82Resolution: 1920 x 1080 - Renderer: Vulkanstockperformance0.35620.71241.06861.42481.7811.5831.573
MinAvgMaxstock5.027.034.1performance5.027.236.1OpenBenchmarking.orgWatts, Fewer Is BetterGravityMark 1.82CPU Power Consumption Monitor10203040501. stock: Approximate power consumption of 4714 Joules per run.2. performance: Approximate power consumption of 4735 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.82Resolution: 1920 x 1080 - Renderer: Vulkanstockperformance918273645Min: 42.3 / Avg: 42.8 / Max: 43.7Min: 42.4 / Avg: 42.83 / Max: 43.7

Llamafile

Mozilla's Llamafile allows distributing and running large language models (LLMs) as a single file. Llamafile aims to make open-source LLMs more accessible to developers and users. Llamafile supports a variety of models, CPUs and GPUs, and other options. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPUstockperformance1.24882.49763.74644.99526.244SE +/- 0.01, N = 3SE +/- 0.00, N = 35.485.55
OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlamafile 0.6Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPUstockperformance0.03650.0730.10950.1460.18250.1620.138
MinAvgMaxstock5.433.835.1performance5.140.150.3OpenBenchmarking.orgWatts, Fewer Is BetterLlamafile 0.6CPU Power Consumption Monitor14284256701. stock: Approximate power consumption of 6000 Joules per run.2. performance: Approximate power consumption of 6440 Joules per run.
OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPUstockperformance246810Min: 5.47 / Avg: 5.48 / Max: 5.49Min: 5.55 / Avg: 5.55 / Max: 5.56

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Faststockperformance0.99591.99182.98773.98364.9795SE +/- 0.038, N = 3SE +/- 0.006, N = 34.0724.4261. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Faststockperformance0.0290.0580.0870.1160.1450.1290.098
MinAvgMaxstock5.131.535.2performance4.945.054.1OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 4781 Joules per run.2. performance: Approximate power consumption of 6309 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Faststockperformance246810Min: 4 / Avg: 4.07 / Max: 4.12Min: 4.42 / Avg: 4.43 / Max: 4.441. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152stockperformance3691215SE +/- 0.04, N = 3SE +/- 0.10, N = 312.7513.52MIN: 8.78 / MAX: 13.12MIN: 8.45 / MAX: 14.03
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152stockperformance0.08510.17020.25530.34040.42550.3780.272
MinAvgMaxstock5.233.735.2performance5.349.753.9OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 5011 Joules per run.2. performance: Approximate power consumption of 7003 Joules per run.
OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152stockperformance48121620Min: 12.67 / Avg: 12.75 / Max: 12.82Min: 13.32 / Avg: 13.52 / Max: 13.64

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-Onlystockperformance306090120150SE +/- 0.04, N = 3SE +/- 0.05, N = 3148.69131.21
MinAvgMaxstock5.034.135.3performance4.952.254.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 5227 Joules per run.2. performance: Approximate power consumption of 7101 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-Onlystockperformance306090120150Min: 148.62 / Avg: 148.69 / Max: 148.77Min: 131.12 / Avg: 131.21 / Max: 131.27

VKMark

VKMark is a collection of open-source Vulkan tests / rendering benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2022-05-16Resolution: 1920 x 1080 - Present Mode: Mailboxstockperformance6001200180024003000SE +/- 0.88, N = 3SE +/- 1.15, N = 3264626511. (CXX) g++ options: -pthread -ldl -std=c++14 -O0 -MD -MQ -MF
OpenBenchmarking.orgVKMark Score Per Watt, More Is BetterVKMark 2022-05-16Resolution: 1920 x 1080 - Present Mode: Mailboxstockperformance2040608010088.5387.76
MinAvgMaxstock5.529.935.0performance5.130.239.3OpenBenchmarking.orgWatts, Fewer Is BetterVKMark 2022-05-16CPU Power Consumption Monitor11223344551. stock: Approximate power consumption of 4025 Joules per run.2. performance: Approximate power consumption of 4068 Joules per run.
OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2022-05-16Resolution: 1920 x 1080 - Present Mode: Mailboxstockperformance5001000150020002500Min: 2644 / Avg: 2645.67 / Max: 2647Min: 2649 / Avg: 2651 / Max: 26531. (CXX) g++ options: -pthread -ldl -std=c++14 -O0 -MD -MQ -MF

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney Materialstockperformance50100150200250205.22182.14
MinAvgMaxstock5.134.535.3performance5.351.754.5OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor1530456075

GLmark2

This is a test of GLmark2, a basic OpenGL and OpenGL ES 2.0 benchmark supporting various windowing/display back-ends. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2023.01Resolution: 1920 x 1080stockperformance1000200030004000500045384597
OpenBenchmarking.orgScore Per Watt, More Is BetterGLmark2 2023.01Resolution: 1920 x 1080stockperformance306090120150135.66124.03
MinAvgMaxstock4.933.535.3performance5.137.153.9OpenBenchmarking.orgWatts, Fewer Is BetterGLmark2 2023.01CPU Power Consumption Monitor1530456075

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigstockperformance306090120150SE +/- 0.56, N = 3SE +/- 0.60, N = 3113.47103.24
MinAvgMaxstock5.130.535.3performance5.044.954.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 3796 Joules per run.2. performance: Approximate power consumption of 5136 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigstockperformance20406080100Min: 112.88 / Avg: 113.47 / Max: 114.58Min: 102.64 / Avg: 103.24 / Max: 104.43

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lstockperformance3691215SE +/- 0.01, N = 3SE +/- 0.13, N = 312.0112.10MIN: 9.63 / MAX: 12.36MIN: 9.85 / MAX: 12.78
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lstockperformance0.08210.16420.24630.32840.41050.3650.298
MinAvgMaxstock5.232.935.1performance5.040.644.7OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor12243648601. stock: Approximate power consumption of 3292 Joules per run.2. performance: Approximate power consumption of 4049 Joules per run.
OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lstockperformance48121620Min: 12 / Avg: 12.01 / Max: 12.03Min: 11.93 / Avg: 12.1 / Max: 12.35

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google Chromestockperformance60120180240300SE +/- 3.11, N = 3SE +/- 0.71, N = 3288.39286.911. chrome 120.0.6099.224
OpenBenchmarking.orgScore Per Watt, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google Chromestockperformance51015202517.8318.64
MinAvgMaxstock5.316.234.4performance4.815.445.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor12243648601. stock: Approximate power consumption of 1251 Joules per run.2. performance: Approximate power consumption of 1277 Joules per run.
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google Chromestockperformance50100150200250Min: 283.07 / Avg: 288.39 / Max: 293.84Min: 285.7 / Avg: 286.91 / Max: 288.161. chrome 120.0.6099.224

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUstockperformance3K6K9K12K15KSE +/- 41.36, N = 3SE +/- 93.51, N = 31061011943
OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUstockperformance80160240320400354.36266.68
MinAvgMaxstock5.129.935.2performance5.144.854.3OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2355 Joules per run.2. performance: Approximate power consumption of 3523 Joules per run.
OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUstockperformance2K4K6K8K10KMin: 10536 / Avg: 10610 / Max: 10679Min: 11759 / Avg: 11943 / Max: 12064

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fasterstockperformance246810SE +/- 0.008, N = 3SE +/- 0.013, N = 38.4118.1871. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fasterstockperformance0.06170.12340.18510.24680.30850.2740.203
MinAvgMaxstock5.030.735.2performance5.040.354.1OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2342 Joules per run.2. performance: Approximate power consumption of 3195 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fasterstockperformance3691215Min: 8.4 / Avg: 8.41 / Max: 8.43Min: 8.17 / Avg: 8.19 / Max: 8.211. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Timed PHP Compilation

This test times how long it takes to build PHP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To Compilestockperformance1530456075SE +/- 0.18, N = 3SE +/- 0.17, N = 368.1865.28
MinAvgMaxstock5.125.535.2performance5.133.354.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 8.1.9CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 1990 Joules per run.2. performance: Approximate power consumption of 2498 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To Compilestockperformance1326395265Min: 67.88 / Avg: 68.18 / Max: 68.49Min: 65.02 / Avg: 65.28 / Max: 65.6

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speedstockperformance400800120016002000SE +/- 4.94, N = 3SE +/- 10.94, N = 31619.51638.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speedstockperformance2040608010081.9283.09
MinAvgMaxstock5.119.833.9performance4.919.733.5OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor10203040501. stock: Approximate power consumption of 1391 Joules per run.2. performance: Approximate power consumption of 1394 Joules per run.
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speedstockperformance30060090012001500Min: 1611.2 / Avg: 1619.47 / Max: 1628.3Min: 1626.1 / Avg: 1638.93 / Max: 1660.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speedstockperformance3691215SE +/- 0.03, N = 3SE +/- 0.03, N = 312.312.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speedstockperformance48121620Min: 12.3 / Avg: 12.33 / Max: 12.4Min: 12.3 / Avg: 12.37 / Max: 12.41. (CC) gcc options: -O3 -pthread -lz -llzma

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crownstockperformance3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 311.1512.16MIN: 11.02 / MAX: 11.44MIN: 12.01 / MAX: 12.57
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crownstockperformance0.07560.15120.22680.30240.3780.3360.240
MinAvgMaxstock5.033.235.2performance5.050.754.5OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2376 Joules per run.2. performance: Approximate power consumption of 3347 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crownstockperformance48121620Min: 11.15 / Avg: 11.15 / Max: 11.16Min: 12.15 / Avg: 12.16 / Max: 12.17

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedstockperformance30060090012001500SE +/- 5.90, N = 3SE +/- 1.31, N = 31574.61557.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedstockperformance20406080100102.12101.27
MinAvgMaxstock4.915.424.3performance4.915.423.8OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor8162432401. stock: Approximate power consumption of 1033 Joules per run.2. performance: Approximate power consumption of 1036 Joules per run.
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedstockperformance30060090012001500Min: 1568.6 / Avg: 1574.6 / Max: 1586.4Min: 1555.2 / Avg: 1557.8 / Max: 1559.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedstockperformance246810SE +/- 0.06, N = 3SE +/- 0.04, N = 36.856.801. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedstockperformance3691215Min: 6.74 / Avg: 6.85 / Max: 6.93Min: 6.75 / Avg: 6.8 / Max: 6.881. (CC) gcc options: -O3 -pthread -lz -llzma

3DMark Wild Life Extreme

This test profile only automates the vendor build of 3DMark with its command-line / JSON support. If you do not have a licensed copy of the necessary 3DMark binaries in your Phoronix Test Suite download cache on your system, this test profile will not do anything and simply fail. You must have already obtained the proper licensed binaries from UL for this test profile to work -- this test profile simply automates the firing of the 3DMark benchmark at your desired resolution and capturing the results within the Phoronix Test Suite while you must already have the necessary 3DMark files on your system. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Better3DMark Wild Life Extreme 1.1.2.1Resolution: 1920 x 1080stockperformance20406080100SE +/- 0.08, N = 3SE +/- 0.15, N = 396.5197.50
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Better3DMark Wild Life Extreme 1.1.2.1Resolution: 1920 x 1080stockperformance0.6751.352.0252.73.3753.0002.535
MinAvgMaxstock5.232.235.4performance5.238.549.5OpenBenchmarking.orgWatts, Fewer Is Better3DMark Wild Life Extreme 1.1.2.1CPU Power Consumption Monitor14284256701. stock: Approximate power consumption of 2155 Joules per run.2. performance: Approximate power consumption of 2577 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Better3DMark Wild Life Extreme 1.1.2.1Resolution: 1920 x 1080stockperformance20406080100Min: 96.4 / Avg: 96.51 / Max: 96.65Min: 97.33 / Avg: 97.5 / Max: 97.79

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speedstockperformance400800120016002000SE +/- 27.48, N = 3SE +/- 9.54, N = 31949.91986.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speedstockperformance2040608010090.0588.92
MinAvgMaxstock5.121.735.0performance4.822.337.7OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor11223344551. stock: Approximate power consumption of 1451 Joules per run.2. performance: Approximate power consumption of 1497 Joules per run.
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speedstockperformance30060090012001500Min: 1896.5 / Avg: 1949.87 / Max: 1987.9Min: 1971.4 / Avg: 1986.93 / Max: 2004.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression Speedstockperformance306090120150SE +/- 0.47, N = 3SE +/- 0.35, N = 3121.1120.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression Speedstockperformance20406080100Min: 120.4 / Avg: 121.13 / Max: 122Min: 120.5 / Avg: 120.9 / Max: 121.61. (CC) gcc options: -O3 -pthread -lz -llzma

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUstockperformance90180270360450SE +/- 0.17, N = 3SE +/- 0.37, N = 3403.27352.27MIN: 194.05 / MAX: 453.01MIN: 250.33 / MAX: 410.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxstock5.232.635.3performance5.150.154.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2176 Joules per run.2. performance: Approximate power consumption of 3322 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUstockperformance70140210280350Min: 403.01 / Avg: 403.27 / Max: 403.59Min: 351.55 / Avg: 352.27 / Max: 352.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUstockperformance3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 39.9011.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUstockperformance3691215Min: 9.89 / Avg: 9.9 / Max: 9.92Min: 11.32 / Avg: 11.34 / Max: 11.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupstockperformance246810SE +/- 0.00, N = 3SE +/- 0.01, N = 37.307.28
MinAvgMaxstock5.112.113.2performance5.012.113.4OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor481216201. stock: Approximate power consumption of 800 Joules per run.2. performance: Approximate power consumption of 803 Joules per run.
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupstockperformance3691215Min: 7.3 / Avg: 7.3 / Max: 7.31Min: 7.27 / Avg: 7.28 / Max: 7.29

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroomstockperformance0.46980.93961.40941.87922.349SE +/- 0.006, N = 3SE +/- 0.003, N = 31.8532.088
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroomstockperformance0.01280.02560.03840.05120.0640.0570.042
MinAvgMaxstock5.132.835.4performance4.950.254.3OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2153 Joules per run.2. performance: Approximate power consumption of 3279 Joules per run.
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroomstockperformance246810Min: 1.84 / Avg: 1.85 / Max: 1.86Min: 2.08 / Avg: 2.09 / Max: 2.09

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercarstockperformance1.0462.0923.1384.1845.23SE +/- 0.011, N = 3SE +/- 0.011, N = 34.1224.649
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercarstockperformance0.02840.05680.08520.11360.1420.1260.093
MinAvgMaxstock5.232.635.3performance5.049.854.5OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2155 Joules per run.2. performance: Approximate power consumption of 3289 Joules per run.
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercarstockperformance246810Min: 4.11 / Avg: 4.12 / Max: 4.14Min: 4.63 / Avg: 4.65 / Max: 4.66

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUstockperformance1530456075SE +/- 0.04, N = 3SE +/- 0.07, N = 366.2159.34MIN: 41.75 / MAX: 97.23MIN: 34.42 / MAX: 85.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxstock5.532.835.2performance4.950.354.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2144 Joules per run.2. performance: Approximate power consumption of 3285 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUstockperformance1326395265Min: 66.13 / Avg: 66.21 / Max: 66.26Min: 59.24 / Avg: 59.34 / Max: 59.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUstockperformance1530456075SE +/- 0.04, N = 3SE +/- 0.08, N = 360.3267.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUstockperformance1326395265Min: 60.27 / Avg: 60.32 / Max: 60.4Min: 67.17 / Avg: 67.32 / Max: 67.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUstockperformance246810SE +/- 0.02, N = 3SE +/- 0.01, N = 37.336.46MIN: 5.45 / MAX: 17.77MIN: 4.46 / MAX: 20.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxstock5.332.935.3performance5.050.454.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2138 Joules per run.2. performance: Approximate power consumption of 3278 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUstockperformance3691215Min: 7.3 / Avg: 7.33 / Max: 7.36Min: 6.45 / Avg: 6.46 / Max: 6.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUstockperformance130260390520650SE +/- 1.33, N = 3SE +/- 0.97, N = 3542.97614.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUstockperformance110220330440550Min: 540.62 / Avg: 542.97 / Max: 545.24Min: 613.04 / Avg: 614.63 / Max: 616.41. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUstockperformance816243240SE +/- 0.15, N = 3SE +/- 0.03, N = 335.9131.13MIN: 25.74 / MAX: 58.33MIN: 19.45 / MAX: 58.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxstock5.233.035.3performance5.150.754.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2134 Joules per run.2. performance: Approximate power consumption of 3276 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUstockperformance816243240Min: 35.64 / Avg: 35.91 / Max: 36.16Min: 31.09 / Avg: 31.13 / Max: 31.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUstockperformance60120180240300SE +/- 0.86, N = 3SE +/- 0.23, N = 3221.43256.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUstockperformance50100150200250Min: 219.99 / Avg: 221.43 / Max: 222.96Min: 255.81 / Avg: 256.24 / Max: 256.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUstockperformance246810SE +/- 0.00, N = 3SE +/- 0.01, N = 36.835.99MIN: 4.03 / MAX: 19.87MIN: 3.35 / MAX: 22.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxstock5.133.035.4performance5.050.654.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2121 Joules per run.2. performance: Approximate power consumption of 3273 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUstockperformance3691215Min: 6.82 / Avg: 6.83 / Max: 6.83Min: 5.97 / Avg: 5.99 / Max: 61. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUstockperformance140280420560700SE +/- 0.23, N = 3SE +/- 0.80, N = 3582.18663.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUstockperformance120240360480600Min: 581.87 / Avg: 582.18 / Max: 582.63Min: 661.9 / Avg: 663.25 / Max: 664.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUstockperformance1.02382.04763.07144.09525.119SE +/- 0.00, N = 3SE +/- 0.00, N = 34.553.95MIN: 2.69 / MAX: 25.68MIN: 2.35 / MAX: 13.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxstock5.333.035.4performance4.950.654.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2133 Joules per run.2. performance: Approximate power consumption of 3273 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUstockperformance246810Min: 4.54 / Avg: 4.55 / Max: 4.55Min: 3.95 / Avg: 3.95 / Max: 3.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUstockperformance400800120016002000SE +/- 0.83, N = 3SE +/- 0.93, N = 31735.471999.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUstockperformance30060090012001500Min: 1734.43 / Avg: 1735.47 / Max: 1737.12Min: 1997.42 / Avg: 1999.21 / Max: 2000.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUstockperformance246810SE +/- 0.00, N = 3SE +/- 0.01, N = 37.936.90MIN: 4.16 / MAX: 25.9MIN: 3.65 / MAX: 24.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxstock5.233.135.1performance5.050.454.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2130 Joules per run.2. performance: Approximate power consumption of 3245 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUstockperformance3691215Min: 7.93 / Avg: 7.93 / Max: 7.93Min: 6.89 / Avg: 6.9 / Max: 6.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUstockperformance2004006008001000SE +/- 0.75, N = 3SE +/- 0.97, N = 3997.221150.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUstockperformance2004006008001000Min: 995.76 / Avg: 997.22 / Max: 998.22Min: 1148.84 / Avg: 1150.78 / Max: 1151.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUstockperformance0.08550.1710.25650.3420.4275SE +/- 0.00, N = 3SE +/- 0.00, N = 30.380.33MIN: 0.19 / MAX: 7.73MIN: 0.19 / MAX: 9.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxstock5.233.035.3performance5.050.654.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2132 Joules per run.2. performance: Approximate power consumption of 3272 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUstockperformance12345Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 0.33 / Avg: 0.33 / Max: 0.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUstockperformance5K10K15K20K25KSE +/- 9.12, N = 3SE +/- 18.25, N = 319400.1022003.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUstockperformance4K8K12K16K20KMin: 19382.69 / Avg: 19400.1 / Max: 19413.5Min: 21967.71 / Avg: 22003.95 / Max: 22025.91. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50stockperformance714212835SE +/- 0.13, N = 3SE +/- 0.31, N = 330.2231.88MIN: 19.6 / MAX: 31.2MIN: 21.53 / MAX: 33.62
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50stockperformance0.21020.42040.63060.84081.0510.9340.685
MinAvgMaxstock5.132.335.3performance4.946.653.7OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 2113 Joules per run.2. performance: Approximate power consumption of 2917 Joules per run.
OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50stockperformance714212835Min: 29.97 / Avg: 30.22 / Max: 30.35Min: 31.54 / Avg: 31.88 / Max: 32.49

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Timestockperformance1326395265SE +/- 0.07, N = 3SE +/- 0.05, N = 359.7557.481. RawTherapee, version 5.9, command line.
MinAvgMaxstock5.222.328.1performance5.127.039.8OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor11223344551. stock: Approximate power consumption of 1450 Joules per run.2. performance: Approximate power consumption of 1703 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Timestockperformance1224364860Min: 59.67 / Avg: 59.75 / Max: 59.88Min: 57.38 / Avg: 57.48 / Max: 57.541. RawTherapee, version 5.9, command line.

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152stockperformance510152025SE +/- 0.12, N = 3SE +/- 0.06, N = 320.3221.33MIN: 13.74 / MAX: 21.11MIN: 17.23 / MAX: 22.16
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152stockperformance0.14290.28580.42870.57160.71450.6350.480
MinAvgMaxstock5.332.035.1performance5.244.450.3OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor14284256701. stock: Approximate power consumption of 1974 Joules per run.2. performance: Approximate power consumption of 2634 Joules per run.
OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152stockperformance510152025Min: 20.09 / Avg: 20.32 / Max: 20.51Min: 21.23 / Avg: 21.33 / Max: 21.42

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Pistolstockperformance1224364860SE +/- 0.28, N = 3SE +/- 0.06, N = 355.4955.091. OpenSCAD version 2021.01
MinAvgMaxstock4.913.415.2performance4.913.515.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 798 Joules per run.2. performance: Approximate power consumption of 800 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Pistolstockperformance1122334455Min: 54.97 / Avg: 55.48 / Max: 55.93Min: 54.99 / Avg: 55.09 / Max: 55.181. OpenSCAD version 2021.01

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragonstockperformance48121620SE +/- 0.01, N = 3SE +/- 0.03, N = 313.3314.14MIN: 13.23 / MAX: 13.55MIN: 13.98 / MAX: 14.43
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragonstockperformance0.09160.18320.27480.36640.4580.4070.282
MinAvgMaxstock5.332.835.3performance5.050.154.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 1998 Joules per run.2. performance: Approximate power consumption of 2888 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragonstockperformance48121620Min: 13.32 / Avg: 13.33 / Max: 13.35Min: 14.08 / Avg: 14.14 / Max: 14.19

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To Compilestockperformance1326395265SE +/- 0.03, N = 3SE +/- 0.05, N = 356.2050.97
MinAvgMaxstock5.131.035.2performance5.145.854.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 1961 Joules per run.2. performance: Approximate power consumption of 2670 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To Compilestockperformance1122334455Min: 56.15 / Avg: 56.2 / Max: 56.23Min: 50.92 / Avg: 50.97 / Max: 51.08

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4Kstockperformance0.93351.8672.80053.7344.6675SE +/- 0.017, N = 3SE +/- 0.005, N = 33.6404.1491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4Kstockperformance0.02630.05260.07890.10520.13150.1170.091
MinAvgMaxstock5.131.035.2performance5.245.754.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 1540 Joules per run.2. performance: Approximate power consumption of 2026 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4Kstockperformance246810Min: 3.62 / Avg: 3.64 / Max: 3.67Min: 4.14 / Avg: 4.15 / Max: 4.161. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google Chromestockperformance60120180240300SE +/- 1.76, N = 3SE +/- 1.53, N = 32952961. chrome 120.0.6099.224
OpenBenchmarking.orgRuns Per Minute Per Watt, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google Chromestockperformance51015202521.3121.73
MinAvgMaxstock5.213.822.7performance5.213.621.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. stock: Approximate power consumption of 609 Joules per run.2. performance: Approximate power consumption of 608 Joules per run.
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google Chromestockperformance50100150200250Min: 292 / Avg: 295.33 / Max: 298Min: 294 / Avg: 296 / Max: 2991. chrome 120.0.6099.224

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080stockperformance8001600240032004000SE +/- 33.02, N = 15SE +/- 36.04, N = 153703.303827.16
OpenBenchmarking.orgMiVoxels / Sec Per Watt, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080stockperformance60120180240300270.04274.74
MinAvgMaxstock5.013.730.4performance4.913.930.8OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.10.1CPU Power Consumption Monitor9182736451. stock: Approximate power consumption of 162 Joules per run.2. performance: Approximate power consumption of 162 Joules per run.
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080stockperformance7001400210028003500Min: 3505.57 / Avg: 3703.3 / Max: 3953.53Min: 3592 / Avg: 3827.16 / Max: 4124.72

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080stockperformance50100150200250SE +/- 2.06, N = 15SE +/- 2.25, N = 15231.46239.20
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080stockperformance8001600240032004000SE +/- 33.02, N = 15SE +/- 36.04, N = 153703.303827.16
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080stockperformance4080120160200Min: 219.1 / Avg: 231.46 / Max: 247.1Min: 224.5 / Avg: 239.2 / Max: 257.79

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very Faststockperformance510152025SE +/- 0.04, N = 3SE +/- 0.22, N = 416.9319.98
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very Faststockperformance0.12040.24080.36120.48160.6020.5350.423
MinAvgMaxstock5.231.635.2performance5.047.354.0OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 1255 Joules per run.2. performance: Approximate power consumption of 1618 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very Faststockperformance510152025Min: 16.85 / Avg: 16.93 / Max: 16.98Min: 19.32 / Avg: 19.98 / Max: 20.21

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4Kstockperformance20406080100SE +/- 1.01, N = 15SE +/- 1.95, N = 1598.37106.441. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4Kstockperformance1.04292.08583.12874.17165.21454.6353.667
MinAvgMaxstock5.021.235.3performance4.929.054.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 250 Joules per run.2. performance: Approximate power consumption of 329 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4Kstockperformance20406080100Min: 90.47 / Avg: 98.37 / Max: 101.75Min: 86.2 / Avg: 106.44 / Max: 111.181. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Llamafile

Mozilla's Llamafile allows distributing and running large language models (LLMs) as a single file. Llamafile aims to make open-source LLMs more accessible to developers and users. Llamafile supports a variety of models, CPUs and GPUs, and other options. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: llava-v1.5-7b-q4 - Acceleration: CPUstockperformance3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 39.039.11
OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlamafile 0.6Test: llava-v1.5-7b-q4 - Acceleration: CPUstockperformance0.0650.130.1950.260.3250.2890.210
MinAvgMaxstock5.131.335.1performance5.243.454.1OpenBenchmarking.orgWatts, Fewer Is BetterLlamafile 0.6CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 1304 Joules per run.2. performance: Approximate power consumption of 1664 Joules per run.
OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: llava-v1.5-7b-q4 - Acceleration: CPUstockperformance3691215Min: 9.02 / Avg: 9.03 / Max: 9.03Min: 9.11 / Avg: 9.11 / Max: 9.11

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080stockperformance6001200180024003000SE +/- 0.23, N = 3SE +/- 0.35, N = 32949.862949.41
OpenBenchmarking.orgMiPolys / Sec Per Watt, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080stockperformance306090120150126.81121.92
MinAvgMaxstock5.223.335.0performance5.124.238.6OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.10.1CPU Power Consumption Monitor11223344551. stock: Approximate power consumption of 930 Joules per run.2. performance: Approximate power consumption of 968 Joules per run.
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080stockperformance5001000150020002500Min: 2949.41 / Avg: 2949.86 / Max: 2950.12Min: 2949.05 / Avg: 2949.41 / Max: 2950.11

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080stockperformance714212835SE +/- 0.00, N = 3SE +/- 0.00, N = 329.4329.42
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080stockperformance6001200180024003000SE +/- 0.23, N = 3SE +/- 0.35, N = 32949.862949.41
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080stockperformance714212835Min: 29.42 / Avg: 29.43 / Max: 29.43Min: 29.42 / Avg: 29.42 / Max: 29.43

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatestockperformance510152025SE +/- 0.07, N = 3SE +/- 0.03, N = 321.221.0
MinAvgMaxstock4.913.715.5performance4.913.615.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 535 Joules per run.2. performance: Approximate power consumption of 532 Joules per run.
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatestockperformance510152025Min: 21.1 / Avg: 21.17 / Max: 21.3Min: 20.9 / Avg: 20.97 / Max: 21

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesstockperformance1020304050SE +/- 0.03, N = 3SE +/- 0.00, N = 345.545.5
MinAvgMaxstock5.113.515.4performance4.913.415.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 485 Joules per run.2. performance: Approximate power consumption of 486 Joules per run.
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesstockperformance918273645Min: 45.4 / Avg: 45.47 / Max: 45.5Min: 45.5 / Avg: 45.5 / Max: 45.5

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google Chromestockperformance5001000150020002500SE +/- 7.51, N = 3SE +/- 4.06, N = 3252425461. chrome 120.0.6099.224
MinAvgMaxstock5.311.017.3performance5.111.117.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 386 Joules per run.2. performance: Approximate power consumption of 404 Joules per run.
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google Chromestockperformance400800120016002000Min: 2511 / Avg: 2523.67 / Max: 2537Min: 2539 / Avg: 2545.67 / Max: 25531. chrome 120.0.6099.224

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Faststockperformance510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 317.8721.42
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Faststockperformance0.1280.2560.3840.5120.640.5690.458
MinAvgMaxstock5.131.435.2performance5.046.854.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 1193 Joules per run.2. performance: Approximate power consumption of 1513 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Faststockperformance510152025Min: 17.84 / Avg: 17.87 / Max: 17.91Min: 21.4 / Avg: 21.42 / Max: 21.45

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very Faststockperformance612182430SE +/- 0.21, N = 3SE +/- 0.28, N = 421.3924.461. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very Faststockperformance0.15680.31360.47040.62720.7840.6970.540
MinAvgMaxstock4.830.735.2performance4.945.353.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 992 Joules per run.2. performance: Approximate power consumption of 1290 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very Faststockperformance612182430Min: 20.97 / Avg: 21.39 / Max: 21.63Min: 23.63 / Avg: 24.46 / Max: 24.771. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilestockperformance1632486480SE +/- 0.09, N = 3SE +/- 0.10, N = 371.471.1
MinAvgMaxstock5.213.515.5performance5.013.415.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 427 Joules per run.2. performance: Approximate power consumption of 420 Joules per run.
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilestockperformance1428425670Min: 71.3 / Avg: 71.43 / Max: 71.6Min: 70.9 / Avg: 71.1 / Max: 71.2

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Faststockperformance612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 321.2225.67
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Faststockperformance0.15570.31140.46710.62280.77850.6920.565
MinAvgMaxstock5.030.735.2performance5.045.453.8OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 1002 Joules per run.2. performance: Approximate power consumption of 1257 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Faststockperformance612182430Min: 21.17 / Avg: 21.22 / Max: 21.25Min: 25.63 / Avg: 25.67 / Max: 25.69

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX Casestockperformance612182430SE +/- 0.14, N = 3SE +/- 0.05, N = 325.6525.711. OpenSCAD version 2021.01
MinAvgMaxstock5.113.115.4performance4.713.015.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 393 Joules per run.2. performance: Approximate power consumption of 389 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX Casestockperformance612182430Min: 25.49 / Avg: 25.65 / Max: 25.93Min: 25.65 / Avg: 25.71 / Max: 25.81. OpenSCAD version 2021.01

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (silesia archive) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Decompression Speedstockperformance11002200330044005500SE +/- 19.83, N = 3SE +/- 30.09, N = 35257.55219.71. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Decompression Speedstockperformance90180270360450416.32416.86
MinAvgMaxstock5.212.615.8performance4.712.515.7OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.4CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 379 Joules per run.2. performance: Approximate power consumption of 380 Joules per run.
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Decompression Speedstockperformance9001800270036004500Min: 5221.4 / Avg: 5257.47 / Max: 5289.8Min: 5179.6 / Avg: 5219.7 / Max: 5278.61. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Compression Speedstockperformance1020304050SE +/- 0.22, N = 3SE +/- 0.18, N = 344.5444.501. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Compression Speedstockperformance918273645Min: 44.11 / Avg: 44.54 / Max: 44.83Min: 44.25 / Avg: 44.5 / Max: 44.861. (CC) gcc options: -O3

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingstockperformance15K30K45K60K75KSE +/- 280.35, N = 3SE +/- 420.21, N = 363606700011. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression Ratingstockperformance50010001500200025002219.331694.29
MinAvgMaxstock5.028.735.2performance4.941.354.4OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 869 Joules per run.2. performance: Approximate power consumption of 1198 Joules per run.
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingstockperformance12K24K36K48K60KMin: 63297 / Avg: 63606.33 / Max: 64166Min: 69501 / Avg: 70001 / Max: 708361. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingstockperformance20K40K60K80K100KSE +/- 125.57, N = 3SE +/- 32.20, N = 375487788071. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingstockperformance14K28K42K56K70KMin: 75237 / Avg: 75487.33 / Max: 75630Min: 78772 / Avg: 78806.67 / Max: 788711. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50stockperformance1122334455SE +/- 0.71, N = 3SE +/- 0.26, N = 349.9450.88MIN: 31.46 / MAX: 52.62MIN: 39.51 / MAX: 53.02
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50stockperformance0.39150.7831.17451.5661.95751.7401.358
MinAvgMaxstock5.228.735.1performance5.037.548.7OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor14284256701. stock: Approximate power consumption of 842 Joules per run.2. performance: Approximate power consumption of 1087 Joules per run.
OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50stockperformance1020304050Min: 48.52 / Avg: 49.94 / Max: 50.75Min: 50.57 / Avg: 50.88 / Max: 51.38

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (silesia archive) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Decompression Speedstockperformance12002400360048006000SE +/- 4.68, N = 3SE +/- 6.53, N = 35574.75594.71. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Decompression Speedstockperformance90180270360450428.69437.70
MinAvgMaxstock4.913.015.8performance4.812.815.4OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.4CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 355 Joules per run.2. performance: Approximate power consumption of 349 Joules per run.
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Decompression Speedstockperformance10002000300040005000Min: 5566.5 / Avg: 5574.67 / Max: 5582.7Min: 5582 / Avg: 5594.7 / Max: 5603.71. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Compression Speedstockperformance2004006008001000SE +/- 2.46, N = 3SE +/- 1.58, N = 3878.16879.971. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Compression Speedstockperformance150300450600750Min: 875.07 / Avg: 878.16 / Max: 883.02Min: 877.94 / Avg: 879.97 / Max: 883.081. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Decompression Speedstockperformance11002200330044005500SE +/- 10.93, N = 3SE +/- 19.77, N = 35048.55043.91. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Decompression Speedstockperformance90180270360450392.33391.14
MinAvgMaxstock4.912.915.4performance5.012.915.5OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.4CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 343 Joules per run.2. performance: Approximate power consumption of 340 Joules per run.
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Decompression Speedstockperformance9001800270036004500Min: 5031.5 / Avg: 5048.47 / Max: 5068.9Min: 5021.6 / Avg: 5043.87 / Max: 5083.31. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Compression Speedstockperformance306090120150SE +/- 0.26, N = 3SE +/- 0.14, N = 3138.27137.821. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Compression Speedstockperformance306090120150Min: 137.92 / Avg: 138.27 / Max: 138.79Min: 137.64 / Avg: 137.82 / Max: 138.091. (CC) gcc options: -O3

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsstockperformance3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 311.811.8
MinAvgMaxstock4.912.815.0performance4.912.314.9OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 338 Joules per run.2. performance: Approximate power consumption of 344 Joules per run.
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsstockperformance3691215Min: 11.8 / Avg: 11.8 / Max: 11.8Min: 11.8 / Avg: 11.8 / Max: 11.8

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super Faststockperformance714212835SE +/- 0.02, N = 3SE +/- 0.07, N = 326.9731.061. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super Faststockperformance0.20270.40540.60810.81081.01350.9010.703
MinAvgMaxstock4.929.935.1performance5.144.254.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 798 Joules per run.2. performance: Approximate power consumption of 1046 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super Faststockperformance714212835Min: 26.95 / Avg: 26.97 / Max: 27Min: 30.97 / Avg: 31.06 / Max: 31.191. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra Faststockperformance918273645SE +/- 0.05, N = 4SE +/- 0.07, N = 436.1341.291. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra Faststockperformance0.28260.56520.84781.13041.4131.2560.990
MinAvgMaxstock5.128.835.0performance5.041.753.5OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 597 Joules per run.2. performance: Approximate power consumption of 782 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra Faststockperformance918273645Min: 36.03 / Avg: 36.13 / Max: 36.26Min: 41.18 / Avg: 41.29 / Max: 41.481. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4Kstockperformance816243240SE +/- 0.16, N = 3SE +/- 0.03, N = 328.7733.711. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4Kstockperformance0.22640.45280.67920.90561.1321.0060.819
MinAvgMaxstock5.128.635.6performance4.941.254.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 762 Joules per run.2. performance: Approximate power consumption of 988 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4Kstockperformance714212835Min: 28.59 / Avg: 28.77 / Max: 29.09Min: 33.67 / Avg: 33.71 / Max: 33.771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: unsharp-maskstockperformance48121620SE +/- 0.06, N = 4SE +/- 0.06, N = 415.4515.35
MinAvgMaxperformance5.014.920.7OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor6121824301. performance: Approximate power consumption of 313 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: unsharp-maskstockperformance48121620Min: 15.34 / Avg: 15.45 / Max: 15.62Min: 15.2 / Avg: 15.35 / Max: 15.49

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compilestockperformance510152025SE +/- 0.01, N = 3SE +/- 0.06, N = 320.2219.71
MinAvgMaxstock5.218.631.7performance5.021.547.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Power Consumption Monitor14284256701. stock: Approximate power consumption of 613 Joules per run.2. performance: Approximate power consumption of 702 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compilestockperformance510152025Min: 20.19 / Avg: 20.22 / Max: 20.24Min: 19.62 / Avg: 19.71 / Max: 19.83

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: auto-levelsstockperformance48121620SE +/- 0.01, N = 4SE +/- 0.01, N = 413.8813.81
MinAvgMaxperformance5.013.618.7OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor6121824301. performance: Approximate power consumption of 262 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: auto-levelsstockperformance48121620Min: 13.85 / Avg: 13.88 / Max: 13.91Min: 13.77 / Avg: 13.81 / Max: 13.83

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080stockperformance400800120016002000SE +/- 12.52, N = 5SE +/- 3.63, N = 51623.831693.83
OpenBenchmarking.orgMiPolys / Sec Per Watt, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080stockperformance2040608010094.3690.96
MinAvgMaxstock5.217.235.1performance5.018.648.2OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.10.1CPU Power Consumption Monitor14284256701. stock: Approximate power consumption of 262 Joules per run.2. performance: Approximate power consumption of 283 Joules per run.
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080stockperformance30060090012001500Min: 1584.01 / Avg: 1623.83 / Max: 1655.92Min: 1680.12 / Avg: 1693.83 / Max: 1700.55

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080stockperformance4080120160200SE +/- 1.20, N = 5SE +/- 0.35, N = 5155.82162.54
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080stockperformance400800120016002000SE +/- 12.52, N = 5SE +/- 3.63, N = 51623.831693.83
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080stockperformance306090120150Min: 152 / Avg: 155.82 / Max: 158.9Min: 161.22 / Avg: 162.54 / Max: 163.18

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Timesstockperformance130260390520650SE +/- 2.33, N = 4SE +/- 2.78, N = 4587593
MinAvgMaxstock5.112.615.9performance2.511.915.8OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 226 Joules per run.2. performance: Approximate power consumption of 229 Joules per run.
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Timesstockperformance100200300400500Min: 580 / Avg: 586.5 / Max: 591Min: 586 / Avg: 592.75 / Max: 599

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suitestockperformance200K400K600K800K1000KSE +/- 5109.68, N = 3SE +/- 3091.62, N = 311038661103996
OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark Suitestockperformance20K40K60K80K100K90621.7391884.81
MinAvgMaxstock5.112.214.8performance4.812.015.1OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 276 Joules per run.2. performance: Approximate power consumption of 280 Joules per run.
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suitestockperformance200K400K600K800K1000KMin: 1096183 / Avg: 1103865.67 / Max: 1113543Min: 1098798 / Avg: 1103996 / Max: 1109495

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google Chromestockperformance90180270360450SE +/- 0.17, N = 3SE +/- 1.34, N = 3422.3422.41. chrome 120.0.6099.224
MinAvgMaxstock5.210.119.4performance5.210.018.7OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. stock: Approximate power consumption of 223 Joules per run.2. performance: Approximate power consumption of 224 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google Chromestockperformance80160240320400Min: 422 / Avg: 422.3 / Max: 422.6Min: 419.8 / Avg: 422.43 / Max: 424.21. chrome 120.0.6099.224

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: resizestockperformance3691215SE +/- 0.08, N = 4SE +/- 0.03, N = 413.4913.39
MinAvgMaxperformance4.916.125.9OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor8162432401. performance: Approximate power consumption of 302 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: resizestockperformance48121620Min: 13.29 / Avg: 13.49 / Max: 13.63Min: 13.32 / Avg: 13.39 / Max: 13.45

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: rotatestockperformance3691215SE +/- 0.03, N = 4SE +/- 0.04, N = 413.1913.29
MinAvgMaxperformance4.811.514.9OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor5101520251. performance: Approximate power consumption of 216 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: rotatestockperformance48121620Min: 13.13 / Avg: 13.19 / Max: 13.26Min: 13.18 / Avg: 13.29 / Max: 13.38

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google Chromestockperformance60120180240300SE +/- 0.04, N = 4SE +/- 0.58, N = 4258.23258.851. chrome 120.0.6099.224
MinAvgMaxstock5.29.614.7performance5.19.514.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 163 Joules per run.2. performance: Approximate power consumption of 160 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google Chromestockperformance50100150200250Min: 258.13 / Avg: 258.23 / Max: 258.32Min: 258.05 / Avg: 258.85 / Max: 260.531. chrome 120.0.6099.224

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50stockperformance3691215SE +/- 0.02, N = 4SE +/- 0.02, N = 412.5812.95
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50stockperformance0.12110.24220.36330.48440.60550.5380.449
MinAvgMaxstock5.323.435.1performance5.128.848.1OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor14284256701. stock: Approximate power consumption of 380 Joules per run.2. performance: Approximate power consumption of 475 Joules per run.
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50stockperformance48121620Min: 12.53 / Avg: 12.58 / Max: 12.61Min: 12.91 / Avg: 12.95 / Max: 13

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4Kstockperformance20406080100SE +/- 0.12, N = 6SE +/- 0.22, N = 6100.91110.991. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4Kstockperformance1.07172.14343.21514.28685.35854.7633.822
MinAvgMaxstock5.221.235.2performance4.929.054.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor15304560751. stock: Approximate power consumption of 247 Joules per run.2. performance: Approximate power consumption of 324 Joules per run.
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4Kstockperformance20406080100Min: 100.47 / Avg: 100.91 / Max: 101.18Min: 110.18 / Avg: 110.99 / Max: 111.461. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Boat - Acceleration: CPU-onlystockperformance246810SE +/- 0.003, N = 6SE +/- 0.012, N = 66.1445.566
MinAvgMaxperformance5.026.754.0OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 289 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Boat - Acceleration: CPU-onlystockperformance246810Min: 6.13 / Avg: 6.14 / Max: 6.15Min: 5.52 / Avg: 5.57 / Max: 5.6

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google Chromestockperformance510152025SE +/- 0.02, N = 6SE +/- 0.06, N = 619.2319.321. chrome 120.0.6099.224
MinAvgMaxstock5.18.014.4performance5.07.814.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 88 Joules per run.2. performance: Approximate power consumption of 87 Joules per run.
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google Chromestockperformance510152025Min: 19.18 / Avg: 19.23 / Max: 19.34Min: 19.19 / Avg: 19.32 / Max: 19.521. chrome 120.0.6099.224

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Masskrug - Acceleration: CPU-onlystockperformance0.87011.74022.61033.48044.3505SE +/- 0.012, N = 7SE +/- 0.009, N = 73.8673.643
MinAvgMaxperformance4.920.151.4OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 183 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Masskrug - Acceleration: CPU-onlystockperformance246810Min: 3.84 / Avg: 3.87 / Max: 3.94Min: 3.61 / Avg: 3.64 / Max: 3.68

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount Swivelstockperformance0.95871.91742.87613.83484.7935SE +/- 0.015, N = 8SE +/- 0.015, N = 84.2454.2611. OpenSCAD version 2021.01
MinAvgMaxstock4.910.215.6performance4.810.115.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 86 Joules per run.2. performance: Approximate power consumption of 84 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount Swivelstockperformance246810Min: 4.19 / Avg: 4.25 / Max: 4.32Min: 4.18 / Avg: 4.26 / Max: 4.321. OpenSCAD version 2021.01

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Server Room - Acceleration: CPU-onlystockperformance0.63341.26681.90022.53363.167SE +/- 0.004, N = 8SE +/- 0.002, N = 82.8152.637
MinAvgMaxperformance4.817.451.9OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 144 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Server Room - Acceleration: CPU-onlystockperformance246810Min: 2.8 / Avg: 2.82 / Max: 2.84Min: 2.63 / Avg: 2.64 / Max: 2.65

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

Benchmark: PSPDFKit WASM - Browser: Firefox

stock: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)

performance: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Server Rack - Acceleration: CPU-onlystockperformance0.08820.17640.26460.35280.441SE +/- 0.003, N = 15SE +/- 0.002, N = 120.3920.354
MinAvgMaxperformance4.89.425.2OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor8162432401. performance: Approximate power consumption of 52 Joules per run.
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Server Rack - Acceleration: CPU-onlystockperformance12345Min: 0.38 / Avg: 0.39 / Max: 0.41Min: 0.35 / Avg: 0.35 / Max: 0.37

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoringstockperformance1122334455Min: 2.65 / Avg: 26.43 / Max: 35.64Min: 2.5 / Avg: 34.09 / Max: 54.71

103 Results Shown

Timed Godot Game Engine Compilation
Selenium
Unigine Superposition
TensorFlow
Appleseed
PyTorch
GravityMark
Llamafile
VVenC
PyTorch
Blender
VKMark
Appleseed
GLmark2
Timed Linux Kernel Compilation
PyTorch
Selenium
Chaos Group V-RAY
VVenC
Timed PHP Compilation
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
Embree
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
3DMark Wild Life Extreme
Zstd Compression:
  12 - Decompression Speed
  12 - Compression Speed
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
PyPerformance
IndigoBench:
  CPU - Bedroom
  CPU - Supercar
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Face Detection Retail FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
PyTorch
RawTherapee
PyTorch
OpenSCAD
Embree
Timed FFmpeg Compilation
SVT-AV1
Selenium
ParaView:
  Wavelet Volume - 1920 x 1080:
    MiVoxels / Sec
    Frames / Sec
uvg266
SVT-AV1
Llamafile
ParaView:
  Many Spheres - 1920 x 1080:
    MiPolys / Sec
    Frames / Sec
PyPerformance:
  django_template
  crypto_pyaes
Selenium
uvg266
Kvazaar
PyPerformance
uvg266
OpenSCAD
LZ4 Compression:
  9 - Decompression Speed
  9 - Compression Speed
7-Zip Compression:
  Decompression Rating
  Compression Rating
PyTorch
LZ4 Compression:
  1 - Decompression Speed
  1 - Compression Speed
  3 - Decompression Speed
  3 - Compression Speed
PyPerformance
Kvazaar:
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
SVT-AV1
GIMP
Timed Apache Compilation
GIMP
ParaView:
  Wavelet Contour - 1920 x 1080:
    MiPolys / Sec
    Frames / Sec
PyBench
PHPBench
Selenium
GIMP:
  resize
  rotate
Selenium
TensorFlow
SVT-AV1
Darktable
Selenium
Darktable
OpenSCAD
Darktable:
  Server Room - CPU-only
  Server Rack - CPU-only
CPU Power Consumption Monitor

stock

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 20 January 2024 14:28 by user phoronix.

performance

Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Phoenix1 4GB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7921K

OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2880x1800

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 6 February 2024 15:49 by user phoronix.