Raspberry Pi 4 vs. Intel Comet Lake

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  Test
  Duration
Raspberry Pi 4
July 29 2020
  13 Hours, 13 Minutes
Core i3 10100
July 30 2020
  2 Hours, 32 Minutes
Pentium Gold G6400
July 31 2020
  3 Hours, 3 Minutes
Celeron G5900
July 31 2020
  3 Hours, 32 Minutes
Intel Core i5-8500T
March 24
  3 Hours, 31 Minutes
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  5 Hours, 10 Minutes

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Raspberry Pi 4 vs. Intel Comet LakeProcessorMotherboardMemoryDiskGraphicsMonitorChipsetAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionSystem LayerRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500TARMv7 Cortex-A72 @ 1.50GHz (4 Cores)BCM2711 Raspberry Pi 4 Model B Rev 1.12048MB32GB SC32GV3D 4.2 2GBVA2431Raspbian 105.4.51-v7l+ (armv7l)LXDE 0.10.0X Server 1.20.4modesetting 1.20.42.1 Mesa 19.3.2GCC 8.3.0ext41920x1080Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads)Gigabyte B460M DS3H (F2 BIOS)Intel Device 9b6316GB500GB Western Digital WDS500G3X0C-00SJG0EFI VGARealtek ALC887-VDRealtek RTL8111/8168/8411Debian 104.19.0-9-amd64 (x86_64)1024x768Intel Pentium Gold G6400 @ 4.00GHz (2 Cores / 4 Threads)Intel Device 9b73Intel Celeron G5900 @ 3.40GHz (2 Cores)Intel Core i5-8500T (6 Cores)QEMU Standard PC (i440FX + PIIX 1996) (rel-1.13.0-48-gd9c812dda519-prebuilt.qemu.org BIOS)44GB1006GBbochs-drmdrmfbQEMU MonitorUbuntu 20.04.1 LTS5.8.0-45-generic (x86_64)bochs-drmdrmfbGCC 9.3.0overlayfsDockerOpenBenchmarking.orgKernel Details- Raspberry Pi 4: snd_bcm2835.enable_compat_alsa=0 snd_bcm2835.enable_hdmi=1 snd_bcm2835.enable_headphones=1- Intel Core i5-8500T: Transparent Huge Pages: madviseCompiler Details- Raspberry Pi 4: --build=arm-linux-gnueabihf --disable-libitm --disable-libquadmath --disable-libquadmath-support --disable-sjlj-exceptions --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --program-prefix=arm-linux-gnueabihf- --target=arm-linux-gnueabihf --with-arch=armv6 --with-default-libstdcxx-abi=new --with-float=hard --with-fpu=vfp --with-gcc-major-version-only --with-target-system-zlib -v - Core i3 10100: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Pentium Gold G6400: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Celeron G5900: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v - Intel Core i5-8500T: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --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-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 Details- Raspberry Pi 4: Scaling Governor: cpufreq-dt ondemand- Core i3 10100: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc- Pentium Gold G6400: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc- Celeron G5900: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc- Intel Core i5-8500T: CPU Microcode: 0x1Java Details- Raspberry Pi 4: OpenJDK Runtime Environment (build 11.0.8+10-post-Raspbian-1deb10u1)- Core i3 10100: OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1)- Pentium Gold G6400: OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1)- Celeron G5900: OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1)- Intel Core i5-8500T: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Details- Raspberry Pi 4: Python 2.7.16 + Python 3.7.3- Core i3 10100: Python 2.7.16 + Python 3.7.3- Pentium Gold G6400: Python 2.7.16 + Python 3.7.3- Celeron G5900: Python 2.7.16 + Python 3.7.3- Intel Core i5-8500T: Python 3.8.5Security Details- Core i3 10100: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Pentium Gold G6400: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Celeron G5900: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Intel Core i5-8500T: itlb_multihit: Not affected + l1tf: Mitigation of PTE Inversion; VMX: flush not necessary SMT disabled + mds: Vulnerable: Clear buffers attempted no microcode; SMT Host state unknown + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Unknown: Dependent on hypervisor status + tsx_async_abort: Vulnerable: Clear buffers attempted no microcode; SMT Host state unknown

Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500TResult OverviewPhoronix Test Suite 10.6.1100%429%759%1088%1418%XZ CompressionTimed GDB GNU Debugger Compilation7-Zip CompressionTimed MPlayer CompilationPolyBench-CGraphicsMagickTimed Apache CompilationRawTherapeeTimed HMMer SearchTimed PHP CompilationPHPBenchDaCapo BenchmarkPerl BenchmarksHuginScikit-LearnLAMMPS Molecular Dynamics SimulatorSmallptlibrsvgInkscapePyBenchCoremarkLAME MP3 EncodingC-RayGEGLlibjpeg-turbo tjbenchTSCPAOBenchSQLite SpeedtestNumpy BenchmarkOpenSSLFLAC Audio EncodingTTSIOD 3D RendererPyPerformance

Raspberry Pi 4 vs. Intel Comet Lakecompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9graphics-magick: Resizingocrmypdf: Processing 60 Page PDF Documentbuild-gdb: Time To Compilecompress-7zip: Compress Speed Testpyperformance: pathlibbuild-mplayer: Time To Compilebuild-apache: Time To Compilerawtherapee: Total Benchmark Timegimp: unsharp-maskhmmer: Pfam Database Searchbuild-php: Time To Compilephpbench: PHP Benchmark Suitehugin: Panorama Photo Assistant + Stitching Timegegl: Scalescikit-learn: pyperformance: floatgimp: auto-levelslammps: Rhodopsin Proteingegl: Cartoonpyperformance: json_loadsgraphics-magick: Enhancedgegl: Cropgegl: Rotate 90 Degreespyperformance: regex_compilegegl: Color Enhancesmallpt: Global Illumination Renderer; 128 Samplesrsvg: SVG Files To PNGpyperformance: python_startupperl-benchmark: Pod2htmlinkscape: SVG Files To PNGpybench: Total For Average Test Timesgraphics-magick: Swirltesseract-ocr: Time To OCR 7 Imagescoremark: CoreMark Size 666 - Iterations Per Secondgegl: Antialiasgegl: Tile Glassgegl: Wavelet Blurencode-mp3: WAV To MP3dacapobench: Tradebeansc-ray: Total Time - 4K, 16 Rays Per Pixelgraphics-magick: Sharpentjbench: Decompression Throughputtscp: AI Chess Performanceaobench: 2048 x 2048 - Total Timegegl: Reflectpyperformance: 2to3octave-benchmark: polybench-c: Covariance Computationpolybench-c: Correlation Computationnumpy: openssl: RSA 4096-bit Performanceaircrack-ng: graphics-magick: Rotateencode-flac: WAV To FLACgraphics-magick: HWB Color Spacettsiod-renderer: Phong Rendering With Soft-Shadow Mappinglibreoffice: 20 Documents To PDFtesseract-ocr: Time To OCR 7 Imagesoctave-benchmark: ocrmypdf: Processing 60 Page PDF Documentgimp: unsharp-maskgimp: auto-levelsgimp: rotategimp: resizeperl-benchmark: Interpretermafft: Multiple Sequence Alignmentpolybench-c: 3 Matrix Multiplicationsgimp: rotategimp: resizesqlite-speedtest: Timed Time - Size 1,000graphics-magick: Noise-Gaussiandacapobench: Jythondacapobench: H2Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T416.90748376.428970.5373466142543.837180.753748.0224.34553.889638.584102546471.41336.87579.1126294.2910.499647.5481441650.874246.618962341.548130.18077.22242.50.61497660137.212523534136.50433030.557108214.859161.312326.60641.58721087680.0801549.657148350771123.69214.9881.79100.38931.01531.02126.5497.61162.34785109.3718325.44795.7510.0071441322.51424.9104.3894.576766.55016343671438542.48843744.347118.8742750017.969.21824.444104.10824.9687.43888.57872984568.3675.47827.06795.720.7803.219105.90023.6928.52741.73416759.44122.80213.5517.490.1087291224.34794518725.010179882.44238640.70130.74462.3728.122157.06860205.777836137625832.74731.1403046.167375.551253.215519.07311348.420933262.0977.5100.001088943.8553.33817.5998.72854.2461174151314669.30724689.362178.8031503319.5128.70137.116147.97726.37112.846143.93566854096.5096.23629.55410423.1981.657117.13425.5459.50947.59218064.27646.45313.8787.960.1188449825.71910209430.87188892.09742747.34133.04368.4788.6674135322.19130172.928584126849235.17933.5383286.605336.12389.32812.61510579.456519132.5568.0640.000758726.5933.83218.87810.64865.1505554823375123.883197121.326274.528792023.6198.33554.742213.38331.52919.579220.076568837140.3947.22934.69312327.6851.381137.54430.13710.89356.29321275.07074.58516.4529.80.1400580530.61611996554.79853412.28198256.74138.37379.50410.181400.34825147.209265107869041.54639.4313977.6332.1682.170282.42315.02346.78387311.10841976.43989.7390.001015319.4174.44622.12513.14782.015396084361666.370457190.9392067131.691.94839.793102.6777.567123.77547602279.5758.85111.9291793.181136.40729.99712.22558.12926687.10627.77226.89812.20.1639812928.2901835172143584.30377957.42545.25793.35210.4414170144.01065152.164424105195141.13744.99450516.89416.805277.541336.159314.668632223.23730.9029.34651.06920.82219.80717.48512.9010.001514824.851103.13210755593719OpenBenchmarking.org

XZ Compression

This test measures the time needed to compress a sample file (an Ubuntu file-system image) using XZ compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T90180270360450SE +/- 0.92, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3405.9242.4969.31123.8866.371. (CC) gcc options: -pthread -fvisibility=hidden -O2
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterXZ Compression 5.2.4Performance Per Core - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4008001200160020001667.63169.95138.61247.77398.221. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterXZ Compression 5.2.4Performance Per Thread - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4008001200160020001667.63339.90277.23247.77398.221. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterXZ Compression 5.2.4Performance Per Clock - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900140280420560700625.36182.70277.23421.201. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T70140210280350Min: 404.69 / Avg: 405.91 / Max: 407.71Min: 42.36 / Avg: 42.49 / Max: 42.59Min: 69.13 / Avg: 69.31 / Max: 69.64Min: 123.8 / Avg: 123.88 / Max: 123.99Min: 66.21 / Avg: 66.37 / Max: 66.541. (CC) gcc options: -pthread -fvisibility=hidden -O2

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T100200300400500SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 1.45, N = 348437246197457-lfreetype -lbz2-lSM -lICE-lSM -lICE-lSM -lICE-lSM -lICE1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Core, More Is BetterGraphicsMagick 1.3.33Performance Per Core - Operation: ResizingRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T30609012015012.00109.25123.0098.5076.171. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgIterations Per Minute Per Thread, More Is BetterGraphicsMagick 1.3.33Performance Per Thread - Operation: ResizingRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T2040608010012.0054.6361.5098.5076.171. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgIterations Per Minute Per GHz, More Is BetterGraphicsMagick 1.3.33Performance Per Clock - Operation: ResizingRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59002040608010032.00101.6361.5057.941. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T80160240320400Min: 436 / Avg: 437.33 / Max: 439Min: 245 / Avg: 246 / Max: 247Min: 455 / Avg: 457.33 / Max: 4601. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 8.0.1+dfsgProcessing 60 Page PDF DocumentRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590080160240320400SE +/- 0.63, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3376.4344.3589.36121.33
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterOCRMyPDF 8.0.1+dfsgPerformance Per Core - Processing 60 Page PDF DocumentRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900300600900120015001505.71177.39178.72242.651. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 2
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterOCRMyPDF 8.0.1+dfsgPerformance Per Thread - Processing 60 Page PDF DocumentRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900300600900120015001505.71354.78357.45242.651. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 2
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterOCRMyPDF 8.0.1+dfsgPerformance Per Clock - Processing 60 Page PDF DocumentRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900120240360480600564.64190.69357.45412.511. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 8.0.1+dfsgProcessing 60 Page PDF DocumentRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590070140210280350Min: 375.21 / Avg: 376.43 / Max: 377.32Min: 44.29 / Avg: 44.35 / Max: 44.39Min: 89.32 / Avg: 89.36 / Max: 89.43Min: 121.23 / Avg: 121.33 / Max: 121.49

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T2004006008001000SE +/- 12.43, N = 3SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.86, N = 3982.91118.87178.80274.53190.94
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Performance Per Core - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T80016002400320040003882.15475.50357.61549.061145.631. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Performance Per Thread - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T80016002400320040003882.15950.99715.21549.061145.631. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Performance Per Clock - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900300600900120015001455.81511.16715.21933.401. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T2004006008001000Min: 963.52 / Avg: 982.91 / Max: 1006.07Min: 118.54 / Avg: 118.87 / Max: 119.22Min: 178.58 / Avg: 178.8 / Max: 178.96Min: 274.32 / Avg: 274.53 / Max: 274.87Min: 189.49 / Avg: 190.94 / Max: 192.45

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T6K12K18K24K30KSE +/- 2.60, N = 3SE +/- 193.55, N = 3SE +/- 17.03, N = 3SE +/- 25.67, N = 3SE +/- 43.50, N = 3346627500150337920206711. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS Per Core, More Is Better7-Zip Compression 16.02Performance Per Core - Compress Speed TestRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T16003200480064008000866.506875.007516.503960.003445.171. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgMIPS Per Thread, More Is Better7-Zip Compression 16.02Performance Per Thread - Compress Speed TestRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T8001600240032004000866.503437.503758.253960.003445.171. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgMIPS Per GHz, More Is Better7-Zip Compression 16.02Performance Per Clock - Compress Speed TestRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900140028004200560070002310.676395.353758.252329.411. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T5K10K15K20K25KMin: 3462 / Avg: 3466.33 / Max: 3471Min: 27125 / Avg: 27500.33 / Max: 27770Min: 14999 / Avg: 15032.67 / Max: 15054Min: 7869 / Avg: 7920.33 / Max: 7947Min: 20603 / Avg: 20671 / Max: 207521. (CXX) g++ options: -pipe -lpthread

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: pathlibRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 3142.017.919.523.631.6
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyPerformance 1.0.0Performance Per Core - Benchmark: pathlibRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T120240360480600568.071.639.047.2189.61. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyPerformance 1.0.0Performance Per Thread - Benchmark: pathlibRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T120240360480600568.0143.278.047.2189.61. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyPerformance 1.0.0Performance Per Clock - Benchmark: pathlibRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590050100150200250213.0076.9778.0080.241. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150Min: 17.9 / Avg: 17.9 / Max: 17.9Min: 19.4 / Avg: 19.47 / Max: 19.5Min: 23.6 / Avg: 23.6 / Max: 23.6Min: 31.4 / Avg: 31.6 / Max: 31.9

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T120240360480600SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3543.8469.22128.70198.3491.95
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed MPlayer Compilation 1.4Performance Per Core - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T50010001500200025002175.35276.87257.40396.67551.691. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed MPlayer Compilation 1.4Performance Per Thread - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T50010001500200025002175.35553.74514.80396.67551.691. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed MPlayer Compilation 1.4Performance Per Clock - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59002004006008001000815.76297.64514.80674.341. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T100200300400500Min: 543.74 / Avg: 543.84 / Max: 544.01Min: 69.19 / Avg: 69.22 / Max: 69.26Min: 128.67 / Avg: 128.7 / Max: 128.75Min: 198.23 / Avg: 198.34 / Max: 198.44Min: 91.72 / Avg: 91.95 / Max: 92.26

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 CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200SE +/- 0.64, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.33, N = 3180.7524.4437.1254.7439.79
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed Apache Compilation 2.4.41Performance Per Core - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T160320480640800723.0197.7874.23109.48238.761. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed Apache Compilation 2.4.41Performance Per Thread - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T160320480640800723.01195.55148.46109.48238.761. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed Apache Compilation 2.4.41Performance Per Clock - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590060120180240300271.13105.11148.46186.121. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150Min: 179.48 / Avg: 180.75 / Max: 181.54Min: 24.38 / Avg: 24.44 / Max: 24.48Min: 37.07 / Avg: 37.12 / Max: 37.15Min: 54.7 / Avg: 54.74 / Max: 54.77Min: 39.39 / Avg: 39.79 / Max: 40.45

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 TimeRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T160320480640800SE +/- 1.42, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 3748.02104.11147.98213.38102.681. Raspberry Pi 4: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 2. Core i3 10100: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 3. Pentium Gold G6400: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 4. Celeron G5900: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 5. Intel Core i5-8500T: RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterRawTherapeePerformance Per Core - Total Benchmark TimeRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T60012001800240030002992.09416.43295.95426.77616.061. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterRawTherapeePerformance Per Thread - Total Benchmark TimeRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T60012001800240030002992.09832.86591.91426.77616.061. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterRawTherapeePerformance Per Clock - Total Benchmark TimeRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590020040060080010001122.03447.66591.91725.501. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T130260390520650Min: 746.16 / Avg: 748.02 / Max: 750.8Min: 104.07 / Avg: 104.11 / Max: 104.15Min: 147.97 / Avg: 147.98 / Max: 147.98Min: 213.21 / Avg: 213.38 / Max: 213.51Min: 102.2 / Avg: 102.68 / Max: 103.431. Raspberry Pi 4: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 2. Core i3 10100: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 3. Pentium Gold G6400: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 4. Celeron G5900: RawTherapee, version 5.5, command line. An advanced, cross-platform program for developing raw photos. Website: http://www.rawtherapee.com/ Documentation: http://rawpedia.rawtherapee.com/ Forum: https://discuss.pixls.us/c/software/rawtherapee Code and bug reports: https://github.com/Beep6581/RawTherapee Symbols: <Chevrons> indicate parameters you can change. [Square brackets] mean the parameter is optional. The pipe symbol | indicates a choice of one or the other. The dash symbol - denotes a range of possible values from one to the other. Usage: rawtherapee-cli -c <dir>|<files> Convert files in batch with default parameters. rawtherapee-cli <other options> -c <dir>|<files> Convert files in batch with your own settings. Options: rawtherapee-cli[-o <output>|-O <output>] [-q] [-a] [-s|-S] [-p <one.pp3> [-p <two.pp3> ...] ] [-d] [ -j[1-100] -js<1-3> | -t[z] -b<8|16|16f|32> | -n -b<8|16> ] [-Y] [-f] -c <input> -c <files> Specify one or more input files or folders. When specifying folders, Rawtherapee will look for image file types which comply with the selected extensions (see also '-a'). -c must be the last option. -o <file>|<dir> Set output file or folder. Saves output file alongside input file if -o is not specified. -O <file>|<dir> Set output file or folder and copy pp3 file into it. Saves output file alongside input file if -O is not specified. -q Quick-start mode. Does not load cached files to speedup start time. -a Process all supported image file types when specifying a folder, even those not currently selected in Preferences > File Browser > Parsed Extensions. -s Use the existing sidecar file to build the processing parameters, e.g. for photo.raw there should be a photo.raw.pp3 file in the same folder. If the sidecar file does not exist, neutral values will be used. -S Like -s but skip if the sidecar file does not exist. -p <file.pp3> Specify processing profile to be used for all conversions. You can specify as many sets of "-p <file.pp3>" options as you like, each will be built on top of the previous one, as explained below. -d Use the default raw or non-raw processing profile as set in Preferences > Image Processing > Default Processing Profile -j[1-100] Specify output to be JPEG (default, if -t and -n are not set). Optionally, specify compression 1-100 (default value: 92). -js<1-3> Specify the JPEG chroma subsampling parameter, where: 1 = Best compression: 2x2, 1x1, 1x1 (4:2:0) Chroma halved vertically and horizontally. 2 = Balanced (default): 2x1, 1x1, 1x1 (4:2:2) Chroma halved horizontally. 3 = Best quality: 1x1, 1x1, 1x1 (4:4:4) No chroma subsampling. -b<8|16|16f|32> Specify bit depth per channel. 8 = 8-bit integer. Applies to JPEG, PNG and TIFF. Default for JPEG and PNG. 16 = 16-bit integer. Applies to TIFF and PNG. Default for TIFF. 16f = 16-bit float. Applies to TIFF. 32 = 32-bit float. Applies to TIFF. -t[z] Specify output to be TIFF. Uncompressed by default, or deflate compression with 'z'. -n Specify output to be compressed PNG. Compression is hard-coded to PNG_FILTER_PAETH, Z_RLE. -Y Overwrite output if present. -f Use the custom fast-export processing pipeline. Your pp3 files can be incomplete, RawTherapee will build the final values as follows: 1- A new processing profile is created using neutral values, 2- If the "-d" option is set, the values are overridden by those found in the default raw or non-raw processing profile. 3- If one or more "-p" options are set, the values are overridden by those found in these processing profiles. 4- If the "-s" or "-S" options are set, the values are finally overridden by those found in the sidecar files. The processing profiles are processed in the order specified on the command line. 5. Intel Core i5-8500T: RawTherapee, version 5.8, command line.

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 2.10.8Test: unsharp-maskRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900714212835SE +/- 0.048, N = 3SE +/- 0.016, N = 3SE +/- 0.014, N = 3SE +/- 0.013, N = 34.34524.96826.37131.529
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGIMP 2.10.8Performance Per Core - Test: unsharp-maskRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59002040608010017.3899.8752.7463.061. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 2
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGIMP 2.10.8Performance Per Thread - Test: unsharp-maskRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900408012016020017.38199.74105.4863.061. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 2
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGIMP 2.10.8Performance Per Clock - Test: unsharp-maskRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900204060801006.518107.362105.484107.1991. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.8Test: unsharp-maskRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900714212835Min: 4.27 / Avg: 4.35 / Max: 4.43Min: 24.94 / Avg: 24.97 / Max: 25Min: 26.35 / Avg: 26.37 / Max: 26.4Min: 31.51 / Avg: 31.53 / Max: 31.56

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 2.3.2Pfam Database SearchRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T1224364860SE +/- 0.423, N = 3SE +/- 0.064, N = 3SE +/- 0.070, N = 3SE +/- 0.023, N = 3SE +/- 0.030, N = 353.8897.43812.84619.5797.5671. (CC) gcc options: -O2 -pthread -lhmmer -lsquid -lm
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed HMMer Search 2.3.2Performance Per Core - Pfam Database SearchRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T50100150200250215.5629.7525.6939.1645.401. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed HMMer Search 2.3.2Performance Per Thread - Pfam Database SearchRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T50100150200250215.5659.5051.3839.1645.401. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed HMMer Search 2.3.2Performance Per Clock - Pfam Database SearchRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59002040608010080.8331.9851.3866.571. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 2.3.2Pfam Database SearchRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T1122334455Min: 53.44 / Avg: 53.89 / Max: 54.73Min: 7.31 / Avg: 7.44 / Max: 7.53Min: 12.71 / Avg: 12.85 / Max: 12.95Min: 19.54 / Avg: 19.58 / Max: 19.62Min: 7.51 / Avg: 7.57 / Max: 7.61. (CC) gcc options: -O2 -pthread -lhmmer -lsquid -lm

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T140280420560700SE +/- 0.21, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.33, N = 3SE +/- 1.13, N = 3636.5288.58143.94220.08123.78
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed PHP Compilation 7.4.2Performance Per Core - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T50010001500200025002554.34354.31287.87440.15742.651. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed PHP Compilation 7.4.2Performance Per Thread - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T50010001500200025002554.34708.62575.74440.15742.651. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed PHP Compilation 7.4.2Performance Per Clock - Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59002004006008001000957.88380.89575.74748.261. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T110220330440550Min: 636.15 / Avg: 636.52 / Max: 636.89Min: 88.38 / Avg: 88.58 / Max: 88.77Min: 143.82 / Avg: 143.94 / Max: 144.06Min: 219.42 / Avg: 220.08 / Max: 220.5Min: 122.54 / Avg: 123.77 / Max: 126.02

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. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T160K320K480K640K800KSE +/- 299.00, N = 3SE +/- 388.23, N = 3SE +/- 1130.88, N = 3SE +/- 406.11, N = 3SE +/- 2497.49, N = 3102546729845668540568837476022
OpenBenchmarking.orgScore Per Core, More Is BetterPHPBench 0.8.1Performance Per Core - PHP Benchmark SuiteRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T70K140K210K280K350K25636.50182461.25334270.00284418.5079337.001. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgScore Per Thread, More Is BetterPHPBench 0.8.1Performance Per Thread - PHP Benchmark SuiteRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T60K120K180K240K300K25636.5091230.63167135.00284418.5079337.001. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgScore Per GHz, More Is BetterPHPBench 0.8.1Performance Per Clock - PHP Benchmark SuiteRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590040K80K120K160K200K68364.0169731.4167135.0167305.01. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T130K260K390K520K650KMin: 101948 / Avg: 102546 / Max: 102845Min: 729069 / Avg: 729845.33 / Max: 730246Min: 666686 / Avg: 668540.33 / Max: 670589Min: 568307 / Avg: 568837 / Max: 569635Min: 471554 / Avg: 476021.67 / Max: 480190

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T100200300400500SE +/- 1.15, N = 3SE +/- 0.22, N = 3SE +/- 0.31, N = 3SE +/- 0.19, N = 3SE +/- 0.42, N = 3471.4168.3796.51140.3979.58
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterHuginPerformance Per Core - Panorama Photo Assistant + Stitching TimeRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4008001200160020001885.65273.47193.02280.79477.451. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterHuginPerformance Per Thread - Panorama Photo Assistant + Stitching TimeRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4008001200160020001885.65546.94386.04280.79477.451. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterHuginPerformance Per Clock - Panorama Photo Assistant + Stitching TimeRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900150300450600750707.12293.98386.04477.341. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T80160240320400Min: 469.76 / Avg: 471.41 / Max: 473.63Min: 68.14 / Avg: 68.37 / Max: 68.8Min: 95.94 / Avg: 96.51 / Max: 96.98Min: 140.02 / Avg: 140.39 / Max: 140.64Min: 78.8 / Avg: 79.58 / Max: 80.24

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T816243240SE +/- 0.098, N = 3SE +/- 0.034, N = 3SE +/- 0.047, N = 3SE +/- 0.003, N = 3SE +/- 0.106, N = 336.8755.4786.2367.2298.851
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: ScaleRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150147.5021.9112.4714.4653.111. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: ScaleRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150147.5043.8224.9414.4653.111. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: ScaleRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900122436486055.3123.5624.9424.581. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T816243240Min: 36.68 / Avg: 36.88 / Max: 36.98Min: 5.42 / Avg: 5.48 / Max: 5.54Min: 6.19 / Avg: 6.24 / Max: 6.33Min: 7.23 / Avg: 7.23 / Max: 7.24Min: 8.65 / Avg: 8.85 / Max: 9

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T20406080100SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 379.1127.0729.5534.6911.93
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterScikit-Learn 0.22.1Performance Per CoreRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T70140210280350316.45108.2759.1169.3971.571. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterScikit-Learn 0.22.1Performance Per ThreadRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T70140210280350316.45216.54118.2269.3971.571. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterScikit-Learn 0.22.1Performance Per ClockRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900306090120150118.67116.39118.22117.961. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T1530456075Min: 78.85 / Avg: 79.11 / Max: 79.49Min: 27.02 / Avg: 27.07 / Max: 27.15Min: 29.53 / Avg: 29.55 / Max: 29.59Min: 34.67 / Avg: 34.69 / Max: 34.73Min: 11.76 / Avg: 11.93 / Max: 12.05

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: floatRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T140280420560700SE +/- 0.06, N = 3SE +/- 0.33, N = 3629.095.7104.0123.0179.0
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyPerformance 1.0.0Performance Per Core - Benchmark: floatRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T50010001500200025002516.0382.8208.0246.01074.01. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyPerformance 1.0.0Performance Per Thread - Benchmark: floatRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T50010001500200025002516.0765.6416.0246.01074.01. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyPerformance 1.0.0Performance Per Clock - Benchmark: floatRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59002004006008001000943.50411.51416.00418.201. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T110220330440550Min: 95.6 / Avg: 95.7 / Max: 95.8Min: 179 / Avg: 179.33 / Max: 180

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 2.10.8Test: auto-levelsRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900714212835SE +/- 0.013, N = 3SE +/- 0.063, N = 3SE +/- 0.008, N = 3SE +/- 0.012, N = 34.29120.78023.19827.685
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGIMP 2.10.8Performance Per Core - Test: auto-levelsRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59002040608010017.1683.1246.4055.371. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 2
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGIMP 2.10.8Performance Per Thread - Test: auto-levelsRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900408012016020017.16166.2492.7955.371. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 2
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGIMP 2.10.8Performance Per Clock - Test: auto-levelsRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900204060801006.43789.35492.79294.1291. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.8Test: auto-levelsRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900612182430Min: 4.28 / Avg: 4.29 / Max: 4.32Min: 20.71 / Avg: 20.78 / Max: 20.91Min: 23.19 / Avg: 23.2 / Max: 23.21Min: 27.66 / Avg: 27.68 / Max: 27.71

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Model: Rhodopsin ProteinRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T0.72431.44862.17292.89723.6215SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.031, N = 60.4993.2191.6571.3813.181-fopenmp-fopenmp-fopenmp-fopenmp1. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm
OpenBenchmarking.orgns/day Per Core, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Performance Per Core - Model: Rhodopsin ProteinRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T0.18640.37280.55920.74560.9320.12480.80480.82850.69050.53021. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgns/day Per Thread, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Performance Per Thread - Model: Rhodopsin ProteinRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T0.15540.31080.46620.62160.7770.12480.40240.41430.69050.53021. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgns/day Per GHz, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Performance Per Clock - Model: Rhodopsin ProteinRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59000.16840.33680.50520.67360.8420.33270.74860.41430.40621. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 9Jan2020Model: Rhodopsin ProteinRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T246810Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 3.2 / Avg: 3.22 / Max: 3.23Min: 1.65 / Avg: 1.66 / Max: 1.67Min: 1.38 / Avg: 1.38 / Max: 1.39Min: 3.03 / Avg: 3.18 / Max: 3.241. (CXX) g++ options: -O3 -rdynamic -ljpeg -lpng -lz -lfftw3 -lm

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T140280420560700SE +/- 3.12, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3647.55105.90117.13137.54136.41
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: CartoonRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T60012001800240030002590.19423.60234.27275.09818.441. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: CartoonRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T60012001800240030002590.19847.20468.54275.09818.441. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: CartoonRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59002004006008001000971.32455.37468.54467.651. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T110220330440550Min: 642.55 / Avg: 647.55 / Max: 653.28Min: 105.7 / Avg: 105.9 / Max: 106.22Min: 116.77 / Avg: 117.13 / Max: 117.55Min: 137.34 / Avg: 137.54 / Max: 137.69Min: 136.16 / Avg: 136.41 / Max: 136.66

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_loadsRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150SE +/- 0.58, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3144.023.625.530.129.9
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyPerformance 1.0.0Performance Per Core - Benchmark: json_loadsRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T120240360480600576.094.451.060.2179.41. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyPerformance 1.0.0Performance Per Thread - Benchmark: json_loadsRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T120240360480600576.0188.8102.060.2179.41. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyPerformance 1.0.0Performance Per Clock - Benchmark: json_loadsRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590050100150200250216.00101.48102.00102.341. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150Min: 143 / Avg: 144 / Max: 145Min: 23.6 / Avg: 23.63 / Max: 23.7Min: 25.5 / Avg: 25.53 / Max: 25.6Min: 30 / Avg: 30.07 / Max: 30.1Min: 29.8 / Avg: 29.9 / Max: 30

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T20406080100SE +/- 0.33, N = 31692453797-lfreetype -lbz2-lSM -lICE-lSM -lICE-lSM -lICE-lSM -lICE1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Core, More Is BetterGraphicsMagick 1.3.33Performance Per Core - Operation: EnhancedRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T6121824304.0023.0022.5018.5016.171. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgIterations Per Minute Per Thread, More Is BetterGraphicsMagick 1.3.33Performance Per Thread - Operation: EnhancedRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T5101520254.0011.5011.2518.5016.171. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgIterations Per Minute Per GHz, More Is BetterGraphicsMagick 1.3.33Performance Per Clock - Operation: EnhancedRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590051015202510.6721.4011.2510.881. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T20406080100Min: 97 / Avg: 97.33 / Max: 981. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T1122334455SE +/- 0.677, N = 4SE +/- 0.046, N = 3SE +/- 0.082, N = 3SE +/- 0.071, N = 3SE +/- 0.106, N = 350.8748.5279.50910.89312.225
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: CropRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200203.5034.1119.0221.7973.351. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: CropRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200203.5068.2238.0421.7973.351. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: CropRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59002040608010076.3136.6738.0437.041. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T1020304050Min: 49.97 / Avg: 50.87 / Max: 52.89Min: 8.48 / Avg: 8.53 / Max: 8.62Min: 9.4 / Avg: 9.51 / Max: 9.67Min: 10.82 / Avg: 10.89 / Max: 11.04Min: 12.11 / Avg: 12.22 / Max: 12.44

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T50100150200250SE +/- 0.40, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3246.6241.7347.5956.2958.13
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: Rotate 90 DegreesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T2004006008001000986.47166.9495.18112.59348.771. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: Rotate 90 DegreesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T2004006008001000986.47333.87190.37112.59348.771. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: Rotate 90 DegreesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590080160240320400369.93179.46190.37191.401. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200Min: 245.86 / Avg: 246.62 / Max: 247.24Min: 41.68 / Avg: 41.73 / Max: 41.84Min: 47.44 / Avg: 47.59 / Max: 47.82Min: 56.24 / Avg: 56.29 / Max: 56.36Min: 57.75 / Avg: 58.13 / Max: 58.35

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_compileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T2004006008001000SE +/- 0.58, N = 3962167180212266
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyPerformance 1.0.0Performance Per Core - Benchmark: regex_compileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T8001600240032004000384866836042415961. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyPerformance 1.0.0Performance Per Thread - Benchmark: regex_compileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T80016002400320040003848133672042415961. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyPerformance 1.0.0Performance Per Clock - Benchmark: regex_compileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900300600900120015001443.0718.1720.0720.81. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T2004006008001000Min: 961 / Avg: 962 / Max: 963

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T70140210280350SE +/- 1.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3341.5559.4464.2875.0787.11
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: Color EnhanceRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T300600900120015001366.19237.76128.55150.14522.641. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: Color EnhanceRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T300600900120015001366.19475.53257.10150.14522.641. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: Color EnhanceRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900110220330440550512.32255.60257.10255.241. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T60120180240300Min: 339.63 / Avg: 341.55 / Max: 343.17Min: 59.41 / Avg: 59.44 / Max: 59.48Min: 64.2 / Avg: 64.28 / Max: 64.35Min: 74.99 / Avg: 75.07 / Max: 75.2Min: 86.71 / Avg: 87.11 / Max: 87.52

Smallpt

Smallpt is a C++ global illumination renderer written in less than 100 lines of code. Global illumination is done via unbiased Monte Carlo path tracing and there is multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150SE +/- 1.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3130.1822.8046.4574.5927.771. (CXX) g++ options: -fopenmp -O3
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterSmallpt 1.0Performance Per Core - Global Illumination Renderer; 128 SamplesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T110220330440550520.7291.2192.91149.17166.631. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterSmallpt 1.0Performance Per Thread - Global Illumination Renderer; 128 SamplesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T110220330440550520.72182.42185.81149.17166.631. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterSmallpt 1.0Performance Per Clock - Global Illumination Renderer; 128 SamplesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590060120180240300195.2798.05185.81253.591. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 128 SamplesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T20406080100Min: 129.11 / Avg: 130.18 / Max: 132.32Min: 22.79 / Avg: 22.8 / Max: 22.83Min: 46.41 / Avg: 46.45 / Max: 46.51Min: 74.55 / Avg: 74.59 / Max: 74.62Min: 27.74 / Avg: 27.77 / Max: 27.791. (CXX) g++ options: -fopenmp -O3

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T20406080100SE +/- 0.99, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 377.2213.5513.8816.4526.901. Raspberry Pi 4: rsvg-convert version 2.44.102. Core i3 10100: rsvg-convert version 2.44.103. Pentium Gold G6400: rsvg-convert version 2.44.104. Celeron G5900: rsvg-convert version 2.44.105. Intel Core i5-8500T: rsvg-convert version 2.48.9
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterlibrsvgPerformance Per Core - Operation: SVG Files To PNGRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T70140210280350308.8954.2027.7632.90161.391. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterlibrsvgPerformance Per Thread - Operation: SVG Files To PNGRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T70140210280350308.89108.4155.5132.90161.391. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterlibrsvgPerformance Per Clock - Operation: SVG Files To PNGRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900306090120150115.8358.2755.5155.941. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T1530456075Min: 75.86 / Avg: 77.22 / Max: 79.14Min: 13.52 / Avg: 13.55 / Max: 13.59Min: 13.87 / Avg: 13.88 / Max: 13.9Min: 16.43 / Avg: 16.45 / Max: 16.5Min: 26.59 / Avg: 26.9 / Max: 27.121. Raspberry Pi 4: rsvg-convert version 2.44.102. Core i3 10100: rsvg-convert version 2.44.103. Pentium Gold G6400: rsvg-convert version 2.44.104. Celeron G5900: rsvg-convert version 2.44.105. Intel Core i5-8500T: rsvg-convert version 2.48.9

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_startupRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T1020304050SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 342.507.497.969.8012.20
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyPerformance 1.0.0Performance Per Core - Benchmark: python_startupRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200170.0029.9615.9219.6073.201. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyPerformance 1.0.0Performance Per Thread - Benchmark: python_startupRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200170.0059.9231.8419.6073.201. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyPerformance 1.0.0Performance Per Clock - Benchmark: python_startupRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900142842567063.7532.2131.8433.321. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T918273645Min: 42.4 / Avg: 42.47 / Max: 42.5Min: 7.48 / Avg: 7.49 / Max: 7.5Min: 7.96 / Avg: 7.96 / Max: 7.96Min: 9.8 / Avg: 9.8 / Max: 9.8Min: 12.2 / Avg: 12.23 / Max: 12.3

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T0.13840.27680.41520.55360.692SE +/- 0.00185361, N = 3SE +/- 0.00010435, N = 3SE +/- 0.00029058, N = 3SE +/- 0.00027382, N = 3SE +/- 0.00079799, N = 30.614976600.108729120.118844980.140058050.16398129
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterPerl BenchmarksPerformance Per Core - Test: Pod2htmlRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T0.55351.1071.66052.2142.76752.4600.4350.2380.2800.9841. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterPerl BenchmarksPerformance Per Thread - Test: Pod2htmlRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T0.55351.1071.66052.2142.76752.4600.8700.4750.2800.9841. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterPerl BenchmarksPerformance Per Clock - Test: Pod2htmlRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59000.20750.4150.62250.831.03750.9220.4680.4750.4761. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T246810Min: 0.61 / Avg: 0.61 / Max: 0.62Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.14 / Avg: 0.14 / Max: 0.14Min: 0.16 / Avg: 0.16 / Max: 0.17

Inkscape

Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150SE +/- 0.66, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3137.2124.3525.7230.6228.291. Raspberry Pi 4: Inkscape 0.92.4 (5da689c313, 2019-01-14)2. Core i3 10100: Inkscape 0.92.4 (5da689c313, 2019-01-14)3. Pentium Gold G6400: Inkscape 0.92.4 (5da689c313, 2019-01-14)4. Celeron G5900: Inkscape 0.92.4 (5da689c313, 2019-01-14)5. Intel Core i5-8500T: Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterInkscapePerformance Per Core - Operation: SVG Files To PNGRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T120240360480600548.8597.3951.4461.23169.741. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterInkscapePerformance Per Thread - Operation: SVG Files To PNGRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T120240360480600548.85194.78102.8861.23169.741. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterInkscapePerformance Per Clock - Operation: SVG Files To PNGRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590050100150200250205.82104.69102.88104.091. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150Min: 136.47 / Avg: 137.21 / Max: 138.53Min: 24.33 / Avg: 24.35 / Max: 24.36Min: 25.68 / Avg: 25.72 / Max: 25.78Min: 30.58 / Avg: 30.62 / Max: 30.69Min: 28.19 / Avg: 28.29 / Max: 28.441. Raspberry Pi 4: Inkscape 0.92.4 (5da689c313, 2019-01-14)2. Core i3 10100: Inkscape 0.92.4 (5da689c313, 2019-01-14)3. Pentium Gold G6400: Inkscape 0.92.4 (5da689c313, 2019-01-14)4. Celeron G5900: Inkscape 0.92.4 (5da689c313, 2019-01-14)5. Intel Core i5-8500T: Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

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 TimesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T11002200330044005500SE +/- 6.69, N = 3SE +/- 2.73, N = 3SE +/- 3.21, N = 3SE +/- 18.22, N = 35235945102011991835
OpenBenchmarking.orgMilliseconds x Core, Fewer Is BetterPyBench 2018-02-16Performance Per Core - Total For Average Test TimesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4K8K12K16K20K20940378020402398110101. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgMilliseconds x Thread, Fewer Is BetterPyBench 2018-02-16Performance Per Thread - Total For Average Test TimesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4K8K12K16K20K20940756040802398110101. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgMilliseconds x GHz, Fewer Is BetterPyBench 2018-02-16Performance Per Clock - Total For Average Test TimesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59002K4K6K8K10K7852.54063.54080.04076.61. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T9001800270036004500Min: 5223 / Avg: 5235.33 / Max: 5246Min: 1016 / Avg: 1019.67 / Max: 1025Min: 1193 / Avg: 1199 / Max: 1204Min: 1814 / Avg: 1834.67 / Max: 1871

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200SE +/- 0.33, N = 3SE +/- 2.67, N = 3341879465172-lfreetype -lbz2-lSM -lICE-lSM -lICE-lSM -lICE-lSM -lICE1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Core, More Is BetterGraphicsMagick 1.3.33Performance Per Core - Operation: SwirlRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T11223344558.5046.7547.0032.5028.671. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgIterations Per Minute Per Thread, More Is BetterGraphicsMagick 1.3.33Performance Per Thread - Operation: SwirlRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T8162432408.5023.3823.5032.5028.671. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgIterations Per Minute Per GHz, More Is BetterGraphicsMagick 1.3.33Performance Per Clock - Operation: SwirlRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900102030405022.6743.4923.5019.121. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150Min: 33 / Avg: 33.67 / Max: 34Min: 182 / Avg: 187.33 / Max: 1901. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.0.0Time To OCR 7 ImagesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900306090120150SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3136.5025.0130.8754.80
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTesseract OCR 4.0.0Performance Per Core - Time To OCR 7 ImagesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900120240360480600546.02100.0461.74109.601. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 2
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTesseract OCR 4.0.0Performance Per Thread - Time To OCR 7 ImagesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900120240360480600546.02200.08123.48109.601. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 2
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTesseract OCR 4.0.0Performance Per Clock - Time To OCR 7 ImagesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59004080120160200204.76107.54123.48186.311. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.0.0Time To OCR 7 ImagesRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900306090120150Min: 136.39 / Avg: 136.5 / Max: 136.72Min: 24.98 / Avg: 25.01 / Max: 25.06Min: 30.84 / Avg: 30.87 / Max: 30.89Min: 54.78 / Avg: 54.8 / Max: 54.82

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T40K80K120K160K200KSE +/- 7.97, N = 3SE +/- 1165.70, N = 3SE +/- 969.55, N = 3SE +/- 21.42, N = 3SE +/- 223.75, N = 333030.56179882.4488892.1053412.28143584.301. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec Per Core, More Is BetterCoremark 1.0Performance Per Core - CoreMark Size 666 - Iterations Per SecondRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T10K20K30K40K50K8257.6444970.6144446.0526706.1423930.721. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgIterations/Sec Per Thread, More Is BetterCoremark 1.0Performance Per Thread - CoreMark Size 666 - Iterations Per SecondRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T6K12K18K24K30K8257.6422485.3122223.0226706.1423930.721. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgIterations/Sec Per GHz, More Is BetterCoremark 1.0Performance Per Clock - CoreMark Size 666 - Iterations Per SecondRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G59009K18K27K36K45K22020.3741833.1322223.0215709.491. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T30K60K90K120K150KMin: 33015.68 / Avg: 33030.56 / Max: 33042.96Min: 177922.75 / Avg: 179882.44 / Max: 181956.03Min: 87022.73 / Avg: 88892.1 / Max: 90273.08Min: 53370.69 / Avg: 53412.28 / Max: 53442Min: 143352.05 / Avg: 143584.3 / Max: 144031.691. (CC) gcc options: -O2 -lrt" -lrt

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T50100150200250SE +/- 0.66, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3214.8640.7047.3456.7457.43
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: AntialiasRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T2004006008001000859.44162.8094.68113.48344.551. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: AntialiasRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T2004006008001000859.44325.61189.36113.48344.551. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: AntialiasRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590070140210280350322.29175.01189.36192.921. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200Min: 213.67 / Avg: 214.86 / Max: 215.94Min: 40.64 / Avg: 40.7 / Max: 40.74Min: 47.09 / Avg: 47.34 / Max: 47.48Min: 56.71 / Avg: 56.74 / Max: 56.77Min: 57.38 / Avg: 57.43 / Max: 57.47

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200SE +/- 1.11, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3161.3130.7433.0438.3745.26
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: Tile GlassRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T140280420560700645.25122.9866.0976.75271.541. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: Tile GlassRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T140280420560700645.25245.95132.1776.75271.541. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: Tile GlassRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G590050100150200250241.97132.20132.17130.471. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T306090120150Min: 159.51 / Avg: 161.31 / Max: 163.32Min: 30.69 / Avg: 30.74 / Max: 30.82Min: 32.86 / Avg: 33.04 / Max: 33.22Min: 38.35 / Avg: 38.37 / Max: 38.41Min: 44.82 / Avg: 45.26 / Max: 45.59

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T70140210280350SE +/- 1.27, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.72, N = 3326.6162.3768.4879.5093.35
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterGEGLPerformance Per Core - Operation: Wavelet BlurRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T300600900120015001306.42249.49136.96159.01560.111. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterGEGLPerformance Per Thread - Operation: Wavelet BlurRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T300600900120015001306.42498.98273.91159.01560.111. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterGEGLPerformance Per Clock - Operation: Wavelet BlurRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900110220330440550489.91268.20273.91270.311. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T60120180240300Min: 324.64 / Avg: 326.61 / Max: 328.99Min: 62.26 / Avg: 62.37 / Max: 62.56Min: 68.22 / Avg: 68.48 / Max: 68.62Min: 79.49 / Avg: 79.5 / Max: 79.53Min: 92.41 / Avg: 93.35 / Max: 94.78

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T918273645SE +/- 0.040, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.009, N = 3SE +/- 0.015, N = 341.5878.1228.66710.18110.441-lncurses1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterLAME MP3 Encoding 3.100Performance Per Core - WAV To MP3Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200166.3532.4917.3320.3662.651. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterLAME MP3 Encoding 3.100Performance Per Thread - WAV To MP3Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T4080120160200166.3564.9834.6720.3662.651. Raspberry Pi 4: Detected thread count of 42. Core i3 10100: Detected thread count of 83. Pentium Gold G6400: Detected thread count of 44. Celeron G5900: Detected thread count of 25. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterLAME MP3 Encoding 3.100Performance Per Clock - WAV To MP3Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900142842567062.3834.9334.6734.621. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Core i3 10100: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.30 3. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00 4. Celeron G5900: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.40
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Raspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T918273645Min: 41.54 / Avg: 41.59 / Max: 41.67Min: 8.12 / Avg: 8.12 / Max: 8.13Min: 8.67 / Avg: 8.67 / Max: 8.67Min: 10.17 / Avg: 10.18 / Max: 10.2Min: 10.42 / Avg: 10.44 / Max: 10.471. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansRaspberry Pi 4Pentium Gold G6400Intel Core i5-8500T5K10K15K20K25KSE +/- 73.12, N = 4SE +/- 51.30, N = 42108741354170
OpenBenchmarking.orgmsec x Core, Fewer Is BetterDaCapo Benchmark 9.12-MR1Performance Per Core - Java Test: TradebeansRaspberry Pi 4Pentium Gold G6400Intel Core i5-8500T20K40K60K80K100K843488270250201. Raspberry Pi 4: Detected core count of 42. Pentium Gold G6400: Detected core count of 23. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgmsec x Thread, Fewer Is BetterDaCapo Benchmark 9.12-MR1Performance Per Thread - Java Test: TradebeansRaspberry Pi 4Pentium Gold G6400Intel Core i5-8500T20K40K60K80K100K8434816540250201. Raspberry Pi 4: Detected thread count of 42. Pentium Gold G6400: Detected thread count of 43. Intel Core i5-8500T: Detected thread count of 6
OpenBenchmarking.orgmsec x GHz, Fewer Is BetterDaCapo Benchmark 9.12-MR1Performance Per Clock - Java Test: TradebeansRaspberry Pi 4Pentium Gold G64007K14K21K28K35K31630.516540.01. Raspberry Pi 4: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.50 2. Pentium Gold G6400: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 4.00
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansRaspberry Pi 4Pentium Gold G6400Intel Core i5-8500T4K8K12K16K20KMin: 20941 / Avg: 21086.75 / Max: 21283Min: 4076 / Avg: 4169.5 / Max: 4278

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T150300450600750SE +/- 9.85, N = 9SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 3680.08157.07322.19400.35144.011. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterC-Ray 1.1Performance Per Core - Total Time - 4K, 16 Rays Per PixelRaspberry Pi 4Core i3 10100Pentium Gold G6400Celeron G5900Intel Core i5-8500T60012001800240030002720.32628.27644.38800.70864.061. Raspberry Pi 4: Detected core count of 42. Core i3 10100: Detected core count of 43. Pentium Gold G6400: Detected core count of 24. Celeron G5900: Detected core count of 25. Intel Core i5-8500T: Detected core count of 6
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterC-Ray 1.1Performance Per Thread - Total Time - 4K, 16 Rays Per Pixel