Renoir vs. Icelake Benchmarks

AMD Ryzen 5 4500U versus Ice Lake on Ubuntu Linux performance.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010036-PTS-2010039P58
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Ryzen 5 4500U
October 02 2020
  12 Hours, 46 Minutes
Core i7 1065G7
October 03 2020
  15 Hours, 13 Minutes
Invert Behavior (Only Show Selected Data)
  14 Hours
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Ryzen 5 4500U

Processor: AMD Ryzen 5 4500U @ 2.38GHz (6 Cores), Motherboard: LENOVO LNVNB161216 (EECN20WW BIOS), Chipset: AMD Renoir Root Complex, Memory: 16GB, Disk: 256GB SKHynix_HFM256GDHTNI-87A0B, Graphics: AMD Renoir 512MB (1500/400MHz), Audio: AMD Device 1637, Network: Realtek RTL8822CE 802.11ac PCIe

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20201002-generic (x86_64) 20201001, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.3.0-devel (git-57b4f60 2020-10-02 focal-oibaf-ppa) (LLVM 10.0.1), Vulkan: 1.2.145, Compiler: GCC 9.3.0 + Clang 10.0.1-1~oibaf~fTarget:, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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,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 Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8600102
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i7 1065G7

Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Device 34ef, Memory: 16GB, Disk: KBG40ZPZ512G NVMe TOSHIBA 512GB, Graphics: Intel Iris Plus G7 3GB (1100MHz), Audio: Realtek ALC289, Network: Intel Killer Wi-Fi 6 AX1650i 160MHz

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20201003-generic (x86_64) 20201002, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.3.0-devel (git-81cd4c8 2020-10-03 focal-oibaf-ppa), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200

Compiler Notes: --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,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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + 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

Renoir vs. Icelake BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 5 4500UCore i7 1065G7AMD Ryzen 5 4500U @ 2.38GHz (6 Cores)LENOVO LNVNB161216 (EECN20WW BIOS)AMD Renoir Root Complex16GB256GB SKHynix_HFM256GDHTNI-87A0BAMD Renoir 512MB (1500/400MHz)AMD Device 1637Realtek RTL8822CE 802.11ac PCIeUbuntu 20.045.9.0-050900rc7daily20201002-generic (x86_64) 20201001GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.3.0-devel (git-57b4f60 2020-10-02 focal-oibaf-ppa) (LLVM 10.0.1)1.2.145GCC 9.3.0 + Clang 10.0.1-1~oibaf~fTarget:ext41920x1080Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)Dell 06CDVY (1.0.9 BIOS)Intel Device 34efKBG40ZPZ512G NVMe TOSHIBA 512GBIntel Iris Plus G7 3GB (1100MHz)Realtek ALC289Intel Killer Wi-Fi 6 AX1650i 160MHz5.9.0-050900rc7daily20201003-generic (x86_64) 202010024.6 Mesa 20.3.0-devel (git-81cd4c8 2020-10-03 focal-oibaf-ppa)GCC 9.3.01920x1200OpenBenchmarking.orgCompiler Details- --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,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- Ryzen 5 4500U: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8600102- Core i7 1065G7: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78Python Details- Python 3.8.2Security Details- Ryzen 5 4500U: itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Core i7 1065G7: itlb_multihit: KVM: Mitigation of VMX disabled + 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

Ryzen 5 4500U vs. Core i7 1065G7 ComparisonPhoronix Test SuiteBaseline+39.5%+39.5%+79%+79%+118.5%+118.5%+158%+158%53.5%46.7%45.7%39.6%38.8%35%34.4%31.9%30.6%29.2%28%27.4%26.7%26.4%25.2%23.4%23%22.3%21.8%21.5%19.9%18.8%18.5%17.2%17%16.7%15.9%15.3%14.9%14.4%13.4%13.1%11.7%11.3%11.1%11%10.4%9.9%9.9%8.9%8.2%7.5%7%6.1%2.9%2.3%Vulkan GPU - shufflenet-v2158.1%Vulkan GPU - mnasnet108.3%Resizing105.7%mobilenet-v1-1.095.3%Vulkan GPU - resnet1893.8%I.R.V91.7%Inception V491.3%Enhanced91.2%Mobilenet Float90.7%Vulkan GPU - resnet5088.3%Vulkan GPU-v2-v2 - mobilenet-v287.9%SqueezeNet87.3%Mobilenet Quant86.1%Vulkan GPU-v3-v3 - mobilenet-v385%resnet-v2-5083.9%Sharpen75.6%NASNet Mobile74.3%Thorough69.3%Swirl66.9%Disney Material64.4%1920 x 108063.6%inception-v362.3%R.C.a.P60.8%Noise-Gaussian60.3%V.P.M59.9%Vulkan GPU - googlenet59.1%DLSC58.7%258.6%Medium56.4%55.5%BMW27 - CPU-Only55%B.B.B.S.1 - Software Only54.6%Vulkan GPU - vgg1654.6%HWB Color Space54.4%T.T.F.S.S54.1%CPU - vgg16Rhodopsin Protein53%Many Spheres - 1920 x 108052.3%Many Spheres - 1920 x 108052.2%B.B.B.S.4 - Software Only52.1%Time To Compile48.9%Material Tester47.3%RotateP.6.P.P.D46.4%CoreMark Size 666 - I.P.S46.1%StyleBench - FirefoxD.I.S45.4%Time To Compile44.4%Time To Compile42.1%SqueezeNetV1.040.9%Speedometer - FirefoxC.S.TH.2.1.V.E38%CPU-v3-v3 - mobilenet-v3Vulkan GPU - yolov4-tiny34.6%19T.B.T31.3%330.3%CPU - MobileNet v229.3%vklBenchmarkPathtracer - Crown28.4%Enc Mode 4 - 1080p27.5%Wavelet Contour - 1920 x 108027.5%Wavelet Contour - 1920 x 108027.5%CPU - shufflenet-v2Vulkan GPU - efficientnet-b027.3%CPU - googlenetTimed Time - Size 1,000CPU - SqueezeNet v1.125.7%CPUServer Room - CPU-only25.1%SVG Files To PNGDevice AI Score23.1%CPU - resnet18Basemark - FirefoxCanvasMark - FirefoxCPU-v2-v2 - mobilenet-v2Scale21.3%P.P.A.S.T21.1%Vulkan GPU - mobilenet20.6%820.5%2.D.T.P18.8%T.F.A.T.TVulkan GPU - blazeface18.5%Pod2htmlC.S.T17.3%PSPDFKit WASM - FirefoxSummer Nature 4K17%WebXPRT - FirefoxCPU - mobilenet17%Maze Solver - FirefoxEnc Mode 8 - 1080p16.1%GoogleNet - CPU - 20016%Octane - Firefox1015.7%1920 x 1080 - Fullscreen - Low - OpenGL15.3%Q.1.LMasskrug - CPU-only15%AlexNet - CPU - 20014.9%Jetstream - FirefoxVulkan GPU - alexnet14.4%InterpreterEnc Mode 0 - 1080p14.3%Wavelet Volume - 1920 x 108014.2%Wavelet Volume - 1920 x 108014.2%Vulkan GPU - squeezenetJetstream 2 - FirefoxP.P.B12.8%Vulkan - 1920 x 1080 - High11.8%MemorialCPU - squeezenet11.3%Server Rack - CPU-onlyCPU - alexnetS.N.1Pathtracer ISPC - Crown10.4%CPUARES-6 - FirefoxCPU - yolov4-tinyCrop9.2%T.T.O.7.IWAV To FLAC8.8%MobileNetV2_2248.6%P.P.SFast8.2%Kraken - FirefoxT.T.S.ST.T.C.C.G.CQ.1.L.H.C5.9%1920 x 1080 - Fullscreen - Medium - OpenGL5.8%CPU - resnet505.2%D.T.S5.1%Default4.1%W.i - Firefox4.1%W.c - Firefox4.1%Rotate 90 Degrees4.1%Vulkan - 1920 x 1080 - Medium3.9%Quality 1002.9%CPU - efficientnet-b0Antialias2.9%N.2.3.C.F.R2.4%CPU - mnasnetNCNNNCNNGraphicsMagickMobile Neural NetworkNCNNTensorFlow LiteTensorFlow LiteGraphicsMagickTensorFlow LiteNCNNNCNNTensorFlow LiteTensorFlow LiteNCNNMobile Neural NetworkGraphicsMagickTensorFlow LiteASTC EncoderGraphicsMagickAppleseedGLmark2Mobile Neural NetworkLuxCoreRenderGraphicsMagickBRL-CADNCNNLuxCoreRenderlibavif avifencASTC Encoderlibavif avifencBlenderMPVNCNNGraphicsMagickYafaRayNCNNLAMMPS Molecular Dynamics SimulatorParaViewParaViewMPVTimed FFmpeg CompilationAppleseedGraphicsMagickOCRMyPDFCoremarkSeleniumAI Benchmark AlphaBuild2Timed Linux Kernel CompilationMobile Neural NetworkSeleniumctx_clockx265NCNNNCNNZstd CompressionGNU Octave BenchmarkRawTherapeeZstd CompressionRNNoiseTNNOpenVKLEmbreeNumpy BenchmarkSVT-AV1ParaViewParaViewNCNNNCNNNCNNSQLite SpeedtestTNNNeatBenchDarktableInkscapeAI Benchmark AlphaNCNNSeleniumSeleniumNCNNGEGLHuginNCNNlibavif avifencLibreOfficeWireGuard + Linux Networking Stack Stress TestPyBenchNCNNPerl Benchmarks7-Zip CompressionSeleniumdav1dSeleniumNCNNSeleniumSVT-AV1CaffeSeleniumlibavif avifencUnigine SuperpositionWebP Image EncodeDarktableCaffeSeleniumNCNNPerl BenchmarksSVT-AV1ParaViewParaViewNCNNSeleniumLibRawBasemark GPUIntel Open Image DenoiseNCNNDarktableNCNNdav1dEmbreeDeepSpeechSeleniumNCNNGEGLTesseract OCRFLAC Audio EncodingMobile Neural NetworkHimeno BenchmarkASTC EncoderSeleniumeSpeak-NG Speech EngineGitWebP Image EncodeUnigine SuperpositionNCNNAI Benchmark AlphaWebP Image EncodeSeleniumSeleniumGEGLBasemark GPUWebP Image EncodeNCNNGEGLFFTENCNNRyzen 5 4500UCore i7 1065G7

Renoir vs. Icelake Benchmarksncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetgraphics-magick: Resizingmnn: mobilenet-v1-1.0ncnn: Vulkan GPU - resnet18tensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4graphics-magick: Enhancedtensorflow-lite: Mobilenet Floatncnn: Vulkan GPU - resnet50tensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Quantncnn: Vulkan GPU-v3-v3 - mobilenet-v3mnn: resnet-v2-50graphics-magick: Sharpentensorflow-lite: NASNet Mobileastcenc: Thoroughgraphics-magick: Swirlappleseed: Disney Materialglmark2: 1920 x 1080mnn: inception-v3luxcorerender: Rainbow Colors and Prismgraphics-magick: Noise-Gaussianbrl-cad: VGR Performance Metricncnn: Vulkan GPU - googlenetluxcorerender: DLSCavifenc: 2astcenc: Mediumavifenc: 0blender: BMW27 - CPU-Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlyncnn: Vulkan GPU - vgg16graphics-magick: HWB Color Spaceyafaray: Total Time For Sample Scenencnn: CPU - vgg16paraview: Many Spheres - 1920 x 1080paraview: Many Spheres - 1920 x 1080mpv: Big Buck Bunny Sunflower 4K - Software Onlybuild-ffmpeg: Time To Compileappleseed: Material Testergraphics-magick: Rotateocrmypdf: Processing 60 Page PDF Documentcoremark: CoreMark Size 666 - Iterations Per Secondselenium: StyleBench - Firefoxai-benchmark: Device Inference Scorebuild2: Time To Compilebuild-linux-kernel: Time To Compilemnn: SqueezeNetV1.0selenium: Speedometer - Firefoxctx-clock: Context Switch Timex265: H.265 1080p Video Encodingncnn: Vulkan GPU - yolov4-tinycompress-zstd: 19octave-benchmark: rawtherapee: Total Benchmark Timecompress-zstd: 3rnnoise: tnn: CPU - MobileNet v2openvkl: vklBenchmarkembree: Pathtracer - Crownnumpy: svt-av1: Enc Mode 4 - 1080pncnn: Vulkan GPU - efficientnet-b0sqlite-speedtest: Timed Time - Size 1,000tnn: CPU - SqueezeNet v1.1neatbench: CPUinkscape: SVG Files To PNGai-benchmark: Device AI Scorencnn: CPU - resnet18selenium: Basemark - Firefoxselenium: CanvasMark - Firefoxgegl: Scalehugin: Panorama Photo Assistant + Stitching Timencnn: Vulkan GPU - mobilenetavifenc: 8libreoffice: 20 Documents To PDFwireguard: pybench: Total For Average Test Timesperl-benchmark: Pod2htmlcompress-7zip: Compress Speed Testselenium: PSPDFKit WASM - Firefoxdav1d: Summer Nature 4Kselenium: WebXPRT - Firefoxncnn: CPU - mobilenetselenium: Maze Solver - Firefoxsvt-av1: Enc Mode 8 - 1080pcaffe: GoogleNet - CPU - 200selenium: Octane - Firefoxavifenc: 10unigine-super: 1920 x 1080 - Fullscreen - Low - OpenGLwebp: Quality 100, Losslessdarktable: Masskrug - CPU-onlycaffe: AlexNet - CPU - 200selenium: Jetstream - Firefoxncnn: Vulkan GPU - alexnetperl-benchmark: Interpretersvt-av1: Enc Mode 0 - 1080pparaview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080ncnn: Vulkan GPU - squeezenetselenium: Jetstream 2 - Firefoxlibraw: Post-Processing Benchmarkbasemark: Vulkan - 1920 x 1080 - Highoidn: Memorialncnn: CPU - squeezenetdarktable: Server Rack - CPU-onlyncnn: CPU - alexnetembree: Pathtracer ISPC - Crowndeepspeech: CPUselenium: ARES-6 - Firefoxncnn: CPU - yolov4-tinygegl: Croptesseract-ocr: Time To OCR 7 Imageshimeno: Poisson Pressure Solverastcenc: Fastselenium: Kraken - Firefoxespeak: Text-To-Speech Synthesisgit: Time To Complete Common Git Commandswebp: Quality 100, Lossless, Highest Compressionunigine-super: 1920 x 1080 - Fullscreen - Medium - OpenGLncnn: CPU - resnet50ai-benchmark: Device Training Scorewebp: Defaultselenium: WASM imageConvolute - Firefoxselenium: WASM collisionDetection - Firefoxgegl: Rotate 90 Degreesbasemark: Vulkan - 1920 x 1080 - Mediumwebp: Quality 100gegl: Antialiasencode-mp3: WAV To MP3gegl: Color Enhancewebp: Quality 100, Highest Compressiongegl: Tile Glassgegl: Cartoondolfyn: Computational Fluid Dynamicsgegl: Wavelet Blurgegl: Reflectvkfft: paraview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2mnn: MobileNetV2_224lammps: Rhodopsin Proteinffte: N=256, 3D Complex FFT Routineencode-flac: WAV To FLACdav1d: Summer Nature 1080pdarktable: Server Room - CPU-onlydarktable: Boat - CPU-onlyRyzen 5 4500UCore i7 1065G74.135.205764.8318.834332290479391310922179719.023341712267736.3432.1067226117559.08247523.471454166144.5810.821255086611.740.7396.7688.44165.972399.89683.9862.04806349.325109.858.77878.797259.13121.308532.12234560644.604167307.98001459.5676243.860200.7728.74563.5111830.5631.2416.08.94487.3882424.219.772260.42759.673.8048282.201.31213.1874.752256.2388.1528.035127927.79449.5197946.49865.38118.126.9957.976276.8709940.1283827122912176877.5520628.386.310.613295400304456.40522.621.5259.817113117176.3314.490.001058220.072942.19158.8924.7284.03728.4422.594.5225.310.26722.863.629473.5101447.6348.069.06925.6184155.7419717.21892.333.14055.61445.92611.049.956031.55629.3400.744.131105.982.42441.8787.81361.5697.56833.63496.51218.77266.10533.0402580536.71951.501.895.6933.232.3812.917.526.799.229.264.8004.04122192.9702472238.614238.686.42016.83810.6610.832809.43317.11830380091701505742298435.8262606442196311.7359.02741455216100.05148860.340601101572.3730.51783181218.680.46153.44913.20258.151619.67442.4695.90522538.41471.565.76577.239170.38180.686783.82333788965.278114477.27930986.7465352.192285.25112.32588.678522.1442.0621.56.781114.7733165.425.764336.73877.112.9628361.151.02916.7859.157321.96610.222.713103922.59549.84119267.88479.16021.858.4296.653328.9478370.1083432019534150966.2824133.205.49.140342564352757.41119.618.67511.291129988202.5716.580.000925120.063825.22451.5821.7995.07325.2120.215.0528.160.24020.573.286966.5882543.3343.759.90323.5194496.6907257.80830.130.97652.39748.63310.452.545741.62030.5417.145.937101.982.49443.0737.95762.4077.48833.40695.91318.66166.37533.099421.00340.402.2410.6926.222.4212.557.355.336.837.625.2152.64121665.3919288489.371265.018.03117.015OpenBenchmarking.org

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Ryzen 5 4500UCore i7 1065G73691215SE +/- 0.03, N = 3SE +/- 0.35, N = 34.1310.66MIN: 3.8 / MAX: 5.21MIN: 10.08 / MAX: 12.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRyzen 5 4500UCore i7 1065G73691215SE +/- 0.01, N = 3SE +/- 0.02, N = 35.2010.83MIN: 4.9 / MAX: 11.7MIN: 10.5 / MAX: 14.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: ResizingRyzen 5 4500UCore i7 1065G7120240360480600SE +/- 5.46, N = 3SE +/- 4.18, N = 35762801. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139730243724Core i7 1065G7120122063500OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G752.068.097.0Ryzen 5 4500U63.192.4100.4OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.648.5OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor1428425670

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Ryzen 5 4500UCore i7 1065G73691215SE +/- 0.029, N = 3SE +/- 0.013, N = 34.8319.433MIN: 4.3 / MAX: 21.97MIN: 8.89 / MAX: 15.491. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Ryzen 5 4500UCore i7 1065G748121620SE +/- 0.01, N = 3SE +/- 0.03, N = 38.8317.11MIN: 8.54 / MAX: 10.22MIN: 16.81 / MAX: 17.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ryzen 5 4500UCore i7 1065G72M4M6M8M10MSE +/- 21501.76, N = 3SE +/- 21082.23, N = 343322908303800
MinAvgMaxRyzen 5 4500U139730403478Core i7 1065G7130024183502OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G754.070.795.0Ryzen 5 4500U66.893.197.4OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.240.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1122334455

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ryzen 5 4500UCore i7 1065G72M4M6M8M10MSE +/- 22097.79, N = 3SE +/- 16982.47, N = 347939139170150
MinAvgMaxRyzen 5 4500U139730283567Core i7 1065G7125424173501OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.994.0Ryzen 5 4500U66.994.3100.1OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.240.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1122334455

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: EnhancedRyzen 5 4500UCore i7 1065G720406080100SE +/- 1.00, N = 3SE +/- 0.75, N = 4109571. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139730913616Core i7 1065G7117624063500OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.068.792.0Ryzen 5 4500U65.689.3100.5OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.343.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor1224364860

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 5 4500UCore i7 1065G790K180K270K360K450KSE +/- 2082.31, N = 3SE +/- 5701.34, N = 3221797422984
MinAvgMaxRyzen 5 4500U139730173569Core i7 1065G7125224443503OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.695.0Ryzen 5 4500U65.691.996.5OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.716.541.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1122334455

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Ryzen 5 4500UCore i7 1065G7816243240SE +/- 0.01, N = 3SE +/- 0.02, N = 319.0235.82MIN: 18.55 / MAX: 20.08MIN: 35.58 / MAX: 36.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 5 4500UCore i7 1065G7130K260K390K520K650KSE +/- 3146.34, N = 3SE +/- 8228.71, N = 3334171626064
MinAvgMaxRyzen 5 4500U139730313554Core i7 1065G7120124343501OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.896.0Ryzen 5 4500U67.393.699.6OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.541.1OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1122334455

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 5 4500UCore i7 1065G790K180K270K360K450KSE +/- 2233.04, N = 3SE +/- 5726.85, N = 3226773421963
MinAvgMaxRyzen 5 4500U139730343574Core i7 1065G7125725073500OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.992.0Ryzen 5 4500U66.492.397.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.539.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1122334455

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Ryzen 5 4500UCore i7 1065G73691215SE +/- 0.03, N = 3SE +/- 0.36, N = 36.3411.73MIN: 5.92 / MAX: 23.58MIN: 10.88 / MAX: 14.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ryzen 5 4500UCore i7 1065G71326395265SE +/- 0.21, N = 3SE +/- 0.35, N = 332.1159.03MIN: 29.79 / MAX: 51.51MIN: 56.05 / MAX: 82.311. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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: SharpenRyzen 5 4500UCore i7 1065G71632486480SE +/- 1.15, N = 3SE +/- 0.67, N = 372411. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139730433652Core i7 1065G7124322493500OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G752.069.298.0Ryzen 5 4500U49.986.696.6OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.749.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor1428425670

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRyzen 5 4500UCore i7 1065G7100K200K300K400K500KSE +/- 909.74, N = 3SE +/- 6073.35, N = 3261175455216
MinAvgMaxRyzen 5 4500U139730983974Core i7 1065G7130124013501OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.070.396.0Ryzen 5 4500U67.494.2101.5OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.543.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor1224364860

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRyzen 5 4500UCore i7 1065G720406080100SE +/- 0.75, N = 3SE +/- 0.77, N = 359.08100.051. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxRyzen 5 4500U139731073985Core i7 1065G7120122973901OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.069.599.0Ryzen 5 4500U55.587.795.3OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.616.251.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor1530456075

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: SwirlRyzen 5 4500UCore i7 1065G750100150200250SE +/- 2.19, N = 3SE +/- 2.08, N = 32471481. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139731313671Core i7 1065G7119621343500OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G754.068.2100.0Ryzen 5 4500U64.389.096.6OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.816.352.7OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor1530456075

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialRyzen 5 4500UCore i7 1065G72004006008001000523.47860.34
MinAvgMaxRyzen 5 4500U139729483677Core i7 1065G7130221273500OpenBenchmarking.orgMegahertz, More Is BetterAppleseed 2.0 BetaCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
OpenBenchmarking.orgCelsius, Fewer Is BetterAppleseed 2.0 BetaCPU Temperature MonitorCore i7 1065G7Ryzen 5 4500U20406080100Min: 52 / Avg: 67.29 / Max: 99Min: 65.75 / Avg: 93.88 / Max: 99.25
OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption MonitorCore i7 1065G71122334455Min: 0.42 / Avg: 16.09 / Max: 53.31

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G740080012001600200016611015
MinAvgMaxRyzen 5 4500U139718923988Core i7 1065G7105016773802OpenBenchmarking.orgMegahertz, More Is BetterGLmark2 2020.04CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U44.862.976.0Core i7 1065G751.063.271.0OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.229.7OpenBenchmarking.orgWatts, Fewer Is BetterGLmark2 2020.04CPU Power Consumption Monitor918273645

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ryzen 5 4500UCore i7 1065G71632486480SE +/- 0.23, N = 3SE +/- 0.56, N = 344.5872.37MIN: 41.67 / MAX: 82.43MIN: 69.84 / MAX: 95.031. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
MinAvgMaxRyzen 5 4500U139730483815Core i7 1065G7124621193895OpenBenchmarking.orgMegahertz, More Is BetterMobile Neural Network 2020-09-17CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.067.799.0Ryzen 5 4500U61.891.496.8OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.616.153.3OpenBenchmarking.orgWatts, Fewer Is BetterMobile Neural Network 2020-09-17CPU Power Consumption Monitor1530456075

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRyzen 5 4500UCore i7 1065G70.18450.3690.55350.7380.9225SE +/- 0.01, N = 3SE +/- 0.00, N = 100.820.51MIN: 0.78 / MAX: 0.93MIN: 0.46 / MAX: 0.83
MinAvgMaxRyzen 5 4500U139730163971Core i7 1065G7124921133894OpenBenchmarking.orgMegahertz, More Is BetterLuxCoreRender 2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.067.3100.0Ryzen 5 4500U62.088.495.6OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.153.7OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.3CPU Power Consumption Monitor1530456075

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: Noise-GaussianRyzen 5 4500UCore i7 1065G7306090120150SE +/- 1.20, N = 3SE +/- 1.00, N = 3125781. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139732483985Core i7 1065G7110122683501OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.068.799.0Ryzen 5 4500U68.991.999.1OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.548.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor1428425670

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricRyzen 5 4500UCore i7 1065G711K22K33K44K55K50866318121. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm
MinAvgMaxRyzen 5 4500U139729753964Core i7 1065G7125220733389OpenBenchmarking.orgMegahertz, More Is BetterBRL-CAD 7.30.8CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.068.4100.0Ryzen 5 4500U66.891.998.1OpenBenchmarking.orgCelsius, Fewer Is BetterBRL-CAD 7.30.8CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.254.1OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.30.8CPU Power Consumption Monitor1530456075

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRyzen 5 4500UCore i7 1065G7510152025SE +/- 0.10, N = 3SE +/- 0.02, N = 311.7418.68MIN: 11.01 / MAX: 30MIN: 18.52 / MAX: 19.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRyzen 5 4500UCore i7 1065G70.16430.32860.49290.65720.8215SE +/- 0.01, N = 3SE +/- 0.00, N = 80.730.46MIN: 0.7 / MAX: 0.8MIN: 0.42 / MAX: 0.69
MinAvgMaxRyzen 5 4500U139730803984Core i7 1065G7120221353901OpenBenchmarking.orgMegahertz, More Is BetterLuxCoreRender 2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.067.098.0Ryzen 5 4500U60.083.294.9OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.153.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.3CPU Power Consumption Monitor1530456075

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ryzen 5 4500UCore i7 1065G7306090120150SE +/- 0.59, N = 3SE +/- 0.85, N = 396.77153.451. (CXX) g++ options: -O3 -fPIC
MinAvgMaxRyzen 5 4500U139731753984Core i7 1065G7120223013900OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.7.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.071.3100.0Ryzen 5 4500U64.389.896.9OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.153.4OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.7.3CPU Power Consumption Monitor1530456075

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumRyzen 5 4500UCore i7 1065G73691215SE +/- 0.02, N = 4SE +/- 0.20, N = 128.4413.201. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxRyzen 5 4500U139730453987Core i7 1065G7119425543901OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.073.799.0Ryzen 5 4500U55.576.888.6OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.551.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor1530456075

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Ryzen 5 4500UCore i7 1065G760120180240300SE +/- 0.58, N = 3SE +/- 1.15, N = 3165.97258.151. (CXX) g++ options: -O3 -fPIC
MinAvgMaxRyzen 5 4500U139731533988Core i7 1065G7120223043900OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.7.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.071.2100.0Ryzen 5 4500U66.690.8100.4OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.154.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.7.3CPU Power Consumption Monitor1530456075

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyRyzen 5 4500UCore i7 1065G7130260390520650SE +/- 3.78, N = 3SE +/- 1.26, N = 3399.89619.67
MinAvgMaxRyzen 5 4500U139730363746Core i7 1065G7125221083729OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.90CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.90CPU Temperature MonitorCore i7 1065G7Ryzen 5 4500U20406080100Min: 54 / Avg: 68.6 / Max: 100Min: 53 / Avg: 92.17 / Max: 96.13
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.90CPU Power Consumption MonitorCore i7 1065G71122334455Min: 0.49 / Avg: 16.06 / Max: 54.12

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyRyzen 5 4500UCore i7 1065G7150300450600750SE +/- 3.01, N = 3SE +/- 3.97, N = 10683.98442.46MIN: 480.01 / MAX: 857.17MIN: 299.75 / MAX: 631.091. mpv 0.32.0
MinAvgMaxRyzen 5 4500U139736363987Core i7 1065G7120630483899OpenBenchmarking.orgMegahertz, More Is BetterMPVCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G747.074.192.0Ryzen 5 4500U51.179.989.1OpenBenchmarking.orgCelsius, Fewer Is BetterMPVCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.148.7OpenBenchmarking.orgWatts, Fewer Is BetterMPVCPU Power Consumption Monitor1428425670

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Ryzen 5 4500UCore i7 1065G720406080100SE +/- 0.27, N = 3SE +/- 0.03, N = 362.0495.90MIN: 60.99 / MAX: 81.46MIN: 93.54 / MAX: 96.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: HWB Color SpaceRyzen 5 4500UCore i7 1065G72004006008001000SE +/- 6.08, N = 3SE +/- 7.51, N = 38065221. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139736133986Core i7 1065G7130025383891OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.071.099.0Ryzen 5 4500U53.590.999.9OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.538.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor1122334455

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneRyzen 5 4500UCore i7 1065G7120240360480600SE +/- 1.96, N = 3SE +/- 0.69, N = 3349.33538.411. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
MinAvgMaxRyzen 5 4500U139729823983Core i7 1065G7130021073796OpenBenchmarking.orgMegahertz, More Is BetterYafaRay 3.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1CPU Temperature MonitorCore i7 1065G7Ryzen 5 4500U20406080100Min: 54 / Avg: 68.41 / Max: 100Min: 66 / Avg: 93.02 / Max: 95.63
OpenBenchmarking.orgWatts, Fewer Is BetterYafaRay 3.4.1CPU Power Consumption MonitorCore i7 1065G71122334455Min: 0.41 / Avg: 16.08 / Max: 53.52

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Core i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.02, N = 3SE +/- 0.42, N = 371.56109.85MIN: 70.12 / MAX: 87.59MIN: 107.76 / MAX: 158.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Many Spheres - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7246810SE +/- 0.08, N = 3SE +/- 0.02, N = 38.775.76

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Many Spheres - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G72004006008001000SE +/- 7.76, N = 3SE +/- 1.93, N = 3878.80577.24
MinAvgMaxRyzen 5 4500U139731893987Core i7 1065G7100128863898OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U48.566.878.8Core i7 1065G750.074.0100.0OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.514.922.8OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption Monitor612182430

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyRyzen 5 4500UCore i7 1065G760120180240300SE +/- 0.39, N = 3SE +/- 1.14, N = 3259.13170.38MIN: 193.55 / MAX: 324.33MIN: 115.15 / MAX: 266.451. mpv 0.32.0
MinAvgMaxRyzen 5 4500U139736303986Core i7 1065G7120026793898OpenBenchmarking.orgMegahertz, More Is BetterMPVCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.072.896.0Ryzen 5 4500U53.085.899.3OpenBenchmarking.orgCelsius, Fewer Is BetterMPVCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.145.9OpenBenchmarking.orgWatts, Fewer Is BetterMPVCPU Power Consumption Monitor1224364860

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRyzen 5 4500UCore i7 1065G74080120160200SE +/- 0.86, N = 3SE +/- 0.26, N = 3121.31180.69
MinAvgMaxRyzen 5 4500U139730773980Core i7 1065G7127421873894OpenBenchmarking.orgMegahertz, More Is BetterTimed FFmpeg Compilation 4.2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.069.098.0Ryzen 5 4500U67.691.595.6OpenBenchmarking.orgCelsius, Fewer Is BetterTimed FFmpeg Compilation 4.2.2CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.052.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.2.2CPU Power Consumption Monitor1530456075

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterRyzen 5 4500UCore i7 1065G72004006008001000532.12783.82
MinAvgMaxRyzen 5 4500U139730153980Core i7 1065G7124721773773OpenBenchmarking.orgMegahertz, More Is BetterAppleseed 2.0 BetaCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
OpenBenchmarking.orgCelsius, Fewer Is BetterAppleseed 2.0 BetaCPU Temperature MonitorCore i7 1065G7Ryzen 5 4500U20406080100Min: 53 / Avg: 67.58 / Max: 99Min: 66.88 / Avg: 91.87 / Max: 98.25
OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption MonitorCore i7 1065G71122334455Min: 0.52 / Avg: 16.06 / Max: 53.05

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: RotateCore i7 1065G7Ryzen 5 4500U2004006008001000SE +/- 2.52, N = 3SE +/- 3.76, N = 38896061. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139738033988Core i7 1065G7130037503901OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U58.665.271.5Core i7 1065G753.083.290.0OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.618.6OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor612182430

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 9.6.0+dfsgProcessing 60 Page PDF DocumentRyzen 5 4500UCore i7 1065G71530456075SE +/- 0.12, N = 3SE +/- 0.66, N = 344.6065.28
MinAvgMaxCore i7 1065G7120023633899OpenBenchmarking.orgMegahertz, More Is BetterOCRMyPDF 9.6.0+dfsgCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.899.0OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 9.6.0+dfsgCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.353.3OpenBenchmarking.orgWatts, Fewer Is BetterOCRMyPDF 9.6.0+dfsgCPU Power Consumption Monitor1530456075

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 SecondRyzen 5 4500UCore i7 1065G740K80K120K160K200KSE +/- 1080.56, N = 3SE +/- 1210.76, N = 8167307.98114477.281. (CC) gcc options: -O2 -lrt" -lrt
MinAvgMaxRyzen 5 4500U139732413986Core i7 1065G7124424793900OpenBenchmarking.orgMegahertz, More Is BetterCoremark 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.071.194.0Ryzen 5 4500U66.885.897.0OpenBenchmarking.orgCelsius, Fewer Is BetterCoremark 1.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.045.4OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor1224364860

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.62, N = 3SE +/- 0.24, N = 386.759.51. firefox 81.0
MinAvgMaxCore i7 1065G7110131633893Ryzen 5 4500U139730123988OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U42.058.468.1Core i7 1065G749.068.991.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.225.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreRyzen 5 4500UCore i7 1065G7150300450600750676465

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileRyzen 5 4500UCore i7 1065G780160240320400SE +/- 1.31, N = 3SE +/- 1.92, N = 3243.86352.19
MinAvgMaxRyzen 5 4500U139730973918Core i7 1065G7130121983899OpenBenchmarking.orgMegahertz, More Is BetterBuild2 0.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.069.5100.0Ryzen 5 4500U65.391.694.3OpenBenchmarking.orgCelsius, Fewer Is BetterBuild2 0.12CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.216.149.4OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.12CPU Power Consumption Monitor1428425670

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRyzen 5 4500UCore i7 1065G760120180240300SE +/- 0.53, N = 3SE +/- 0.57, N = 3200.77285.25
MinAvgMaxRyzen 5 4500U139730613985Core i7 1065G7120221713896OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 5.4CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G755.068.998.0Ryzen 5 4500U67.391.194.8OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.4CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.052.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.4CPU Power Consumption Monitor1530456075

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Ryzen 5 4500UCore i7 1065G73691215SE +/- 0.039, N = 3SE +/- 0.087, N = 38.74512.325MIN: 7.71 / MAX: 26.5MIN: 11.75 / MAX: 33.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.16, N = 3SE +/- 0.37, N = 388.6763.511. firefox 81.0
MinAvgMaxCore i7 1065G7110031403891Ryzen 5 4500U139730793987OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U42.153.065.5Core i7 1065G749.069.092.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.412.422.2OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeCore i7 1065G7Ryzen 5 4500U306090120150SE +/- 0.27, N = 1385118
MinAvgMaxCore i7 1065G7120118003898Ryzen 5 4500U139717683986OpenBenchmarking.orgMegahertz, More Is Betterctx_clockCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G749.054.679.0Ryzen 5 4500U51.360.874.3OpenBenchmarking.orgCelsius, Fewer Is Betterctx_clockCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.42.69.7OpenBenchmarking.orgWatts, Fewer Is Betterctx_clockCPU Power Consumption Monitor4.428.8413.2617.6822.1

x265

This is a simple test of the x265 encoder run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingRyzen 5 4500UCore i7 1065G7714212835SE +/- 0.22, N = 3SE +/- 0.22, N = 930.5622.141. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxRyzen 5 4500U139730913985Core i7 1065G7130022233887OpenBenchmarking.orgMegahertz, More Is Betterx265 3.1.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.070.1100.0Ryzen 5 4500U71.592.6100.6OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.1.2CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.451.4OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.1.2CPU Power Consumption Monitor1530456075

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyRyzen 5 4500UCore i7 1065G71020304050SE +/- 0.67, N = 3SE +/- 0.26, N = 331.2442.06MIN: 26.82 / MAX: 54.28MIN: 32.77 / MAX: 50.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxRyzen 5 4500U117920603987Core i7 1065G784616443899OpenBenchmarking.orgMegahertz, More Is BetterNCNN 20200916CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G747.059.893.0Ryzen 5 4500U55.867.278.8OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.413.627.5OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20200916CPU Power Consumption Monitor816243240

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Core i7 1065G7Ryzen 5 4500U510152025SE +/- 0.07, N = 3SE +/- 0.03, N = 321.516.01. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxRyzen 5 4500U139737343989Core i7 1065G7125226263899OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.4.5CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.070.698.0Ryzen 5 4500U57.689.298.8OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.029.0OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.4.5CPU Power Consumption Monitor918273645

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Core i7 1065G7Ryzen 5 4500U246810SE +/- 0.041, N = 25SE +/- 0.094, N = 56.7818.944
MinAvgMaxCore i7 1065G7120129263901OpenBenchmarking.orgMegahertz, More Is BetterGNU Octave Benchmark 5.2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.072.3100.0OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.312.027.5OpenBenchmarking.orgWatts, Fewer Is BetterGNU Octave Benchmark 5.2.0CPU Power Consumption Monitor816243240

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 TimeRyzen 5 4500UCore i7 1065G7306090120150SE +/- 0.53, N = 3SE +/- 1.02, N = 387.39114.771. RawTherapee, version 5.8, command line.
MinAvgMaxRyzen 5 4500U139737323989Core i7 1065G7120225263894OpenBenchmarking.orgMegahertz, More Is BetterRawTherapeeCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G749.067.998.0Ryzen 5 4500U43.486.1100.6OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.344.5OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor1224364860

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Core i7 1065G7Ryzen 5 4500U7001400210028003500SE +/- 6.01, N = 3SE +/- 7.56, N = 33165.42424.21. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxRyzen 5 4500U139736253988Core i7 1065G7120130113901OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.4.5CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.072.592.0Ryzen 5 4500U65.082.995.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.615.838.9OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.4.5CPU Power Consumption Monitor1122334455

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Ryzen 5 4500UCore i7 1065G7612182430SE +/- 0.02, N = 3SE +/- 0.08, N = 319.7725.761. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxCore i7 1065G7120135583898Ryzen 5 4500U139735523988OpenBenchmarking.orgMegahertz, More Is BetterRNNoise 2020-06-28CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U66.173.376.8Core i7 1065G753.075.581.0OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.412.415.6OpenBenchmarking.orgWatts, Fewer Is BetterRNNoise 2020-06-28CPU Power Consumption Monitor510152025

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Ryzen 5 4500UCore i7 1065G770140210280350SE +/- 0.64, N = 3SE +/- 0.51, N = 3260.43336.74MIN: 256.19 / MAX: 303.4MIN: 334.76 / MAX: 344.761. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxRyzen 5 4500U139734893986Core i7 1065G7125033883905OpenBenchmarking.orgMegahertz, More Is BetterTNN 0.2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.077.297.0Ryzen 5 4500U64.980.984.6OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.414.419.3OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.2.3CPU Power Consumption Monitor612182430

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.49, N = 3SE +/- 0.14, N = 377.1159.67MIN: 1 / MAX: 351MIN: 1 / MAX: 212
MinAvgMaxRyzen 5 4500U139737223988Core i7 1065G7130029553897OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.078.599.0Ryzen 5 4500U60.983.996.3OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.241.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor1122334455

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 5 4500UCore i7 1065G70.85611.71222.56833.42444.2805SE +/- 0.0524, N = 4SE +/- 0.0275, N = 33.80482.9628MIN: 3.7 / MAX: 4.39MIN: 2.89 / MAX: 4.76
MinAvgMaxRyzen 5 4500U139731223980Core i7 1065G7130120153500OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G751.067.6100.0Ryzen 5 4500U51.691.597.8OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.9.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.253.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.9.0CPU Power Consumption Monitor1530456075

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i7 1065G7Ryzen 5 4500U80160240320400SE +/- 0.96, N = 3SE +/- 0.63, N = 3361.15282.20
MinAvgMaxRyzen 5 4500U139739383990Core i7 1065G7114637263899OpenBenchmarking.orgMegahertz, More Is BetterNumpy BenchmarkCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U54.168.273.8Core i7 1065G753.088.998.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.715.921.4OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor612182430

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pRyzen 5 4500UCore i7 1065G70.29520.59040.88561.18081.476SE +/- 0.015, N = 3SE +/- 0.010, N = 31.3121.0291. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxRyzen 5 4500U139731493981Core i7 1065G7130120083876OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.067.6100.0Ryzen 5 4500U65.992.7103.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.453.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption Monitor1530456075

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Ryzen 5 4500UCore i7 1065G748121620SE +/- 0.04, N = 3SE +/- 0.02, N = 313.1816.78MIN: 12.74 / MAX: 14.05MIN: 16.45 / MAX: 18.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.39, N = 3SE +/- 1.00, N = 359.1674.751. (CC) gcc options: -O2 -ldl -lz -lpthread
MinAvgMaxRyzen 5 4500U139738253989Core i7 1065G7125636813898OpenBenchmarking.orgMegahertz, More Is BetterSQLite Speedtest 3.30CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U47.560.365.5Core i7 1065G750.086.398.0OpenBenchmarking.orgCelsius, Fewer Is BetterSQLite Speedtest 3.30CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.820.2OpenBenchmarking.orgWatts, Fewer Is BetterSQLite Speedtest 3.30CPU Power Consumption Monitor612182430

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ryzen 5 4500UCore i7 1065G770140210280350SE +/- 0.04, N = 3SE +/- 0.07, N = 3256.24321.97MIN: 255.57 / MAX: 258.95MIN: 320.21 / MAX: 325.911. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxCore i7 1065G7120234883900Ryzen 5 4500U139734673988OpenBenchmarking.orgMegahertz, More Is BetterTNN 0.2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U54.670.474.8Core i7 1065G752.077.498.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.411.615.5OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.2.3CPU Power Consumption Monitor510152025

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUCore i7 1065G7Ryzen 5 4500U3691215SE +/- 0.02, N = 7SE +/- 0.02, N = 810.208.15
MinAvgMaxRyzen 5 4500U139726483983Core i7 1065G7119924243894OpenBenchmarking.orgMegahertz, More Is BetterNeatBench 5CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.072.897.0Ryzen 5 4500U57.581.493.9OpenBenchmarking.orgCelsius, Fewer Is BetterNeatBench 5CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.216.753.2OpenBenchmarking.orgWatts, Fewer Is BetterNeatBench 5CPU Power Consumption Monitor1530456075

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 PNGCore i7 1065G7Ryzen 5 4500U714212835SE +/- 0.19, N = 3SE +/- 0.10, N = 322.7128.041. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
MinAvgMaxCore i7 1065G7125733953900Ryzen 5 4500U139732513987OpenBenchmarking.orgMegahertz, More Is BetterInkscapeCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U56.668.676.0Core i7 1065G753.077.597.0OpenBenchmarking.orgCelsius, Fewer Is BetterInkscapeCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.513.117.3OpenBenchmarking.orgWatts, Fewer Is BetterInkscapeCPU Power Consumption Monitor510152025

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreRyzen 5 4500UCore i7 1065G73006009001200150012791039
OpenBenchmarking.orgMegahertz, More Is BetterAI Benchmark Alpha 0.1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorRyzen 5 4500UCore i7 1065G77001400210028003500Min: 1397 / Avg: 3450.55 / Max: 3993Min: 1201 / Avg: 2135.27 / Max: 3901
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Temperature MonitorCore i7 1065G7Ryzen 5 4500U20406080100Min: 42 / Avg: 69.69 / Max: 99Min: 34.75 / Avg: 92.06 / Max: 104.13
OpenBenchmarking.orgWatts, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Power Consumption MonitorCore i7 1065G7918273645Min: 0.37 / Avg: 16.02 / Max: 45.13

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Core i7 1065G7Ryzen 5 4500U714212835SE +/- 0.04, N = 3SE +/- 0.15, N = 322.5927.79MIN: 20.34 / MAX: 44.74MIN: 25.64 / MAX: 56.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U120240360480600SE +/- 2.86, N = 3SE +/- 1.96, N = 3549.84449.511. firefox 81.0
MinAvgMaxCore i7 1065G794926343894Ryzen 5 4500U138126103986OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U44.358.373.6Core i7 1065G750.066.197.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.613.235.2OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1020304050

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U3K6K9K12K15KSE +/- 46.36, N = 3SE +/- 122.05, N = 51192697941. firefox 81.0
MinAvgMaxCore i7 1065G7109629713865Ryzen 5 4500U139725123987OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U43.651.663.8Core i7 1065G752.065.389.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.510.720.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

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: ScaleRyzen 5 4500UCore i7 1065G7246810SE +/- 0.022, N = 6SE +/- 0.070, N = 156.4987.884
MinAvgMaxRyzen 5 4500U139728943987Core i7 1065G7120127183900OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U46.068.778.3Core i7 1065G752.071.8100.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.034.8OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1020304050

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 TimeRyzen 5 4500UCore i7 1065G720406080100SE +/- 0.35, N = 3SE +/- 0.77, N = 365.3879.16
MinAvgMaxRyzen 5 4500U139736623987Core i7 1065G7120128703899OpenBenchmarking.orgMegahertz, More Is BetterHuginCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.075.0100.0Ryzen 5 4500U52.986.896.6OpenBenchmarking.orgCelsius, Fewer Is BetterHuginCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.716.453.6OpenBenchmarking.orgWatts, Fewer Is BetterHuginCPU Power Consumption Monitor1530456075

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRyzen 5 4500UCore i7 1065G7510152025SE +/- 0.32, N = 3SE +/- 0.23, N = 318.1221.85MIN: 12.98 / MAX: 38.17MIN: 19.51 / MAX: 25.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ryzen 5 4500UCore i7 1065G7246810SE +/- 0.006, N = 6SE +/- 0.096, N = 156.9958.4291. (CXX) g++ options: -O3 -fPIC
MinAvgMaxRyzen 5 4500U139728713991Core i7 1065G7126326323900OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.7.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.074.9100.0Ryzen 5 4500U64.978.687.6OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.754.4OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.7.3CPU Power Consumption Monitor1530456075

LibreOffice

Various benchmarking operations with the LibreOffice open-source office suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFCore i7 1065G7Ryzen 5 4500U246810SE +/- 0.052, N = 25SE +/- 0.050, N = 256.6537.9761. LibreOffice 7.0.1.2 00(Build:2)
MinAvgMaxRyzen 5 4500U139732823988Core i7 1065G7120131393900OpenBenchmarking.orgMegahertz, More Is BetterLibreOfficeCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U49.559.268.0Core i7 1065G751.072.193.0OpenBenchmarking.orgCelsius, Fewer Is BetterLibreOfficeCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.310.319.2OpenBenchmarking.orgWatts, Fewer Is BetterLibreOfficeCPU Power Consumption Monitor612182430

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestRyzen 5 4500UCore i7 1065G770140210280350SE +/- 1.28, N = 3SE +/- 1.61, N = 3276.87328.95
MinAvgMaxRyzen 5 4500U139735793991Core i7 1065G7120122693500OpenBenchmarking.orgMegahertz, More Is BetterWireGuard + Linux Networking Stack Stress TestCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.068.188.0Ryzen 5 4500U48.389.897.8OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.616.143.5OpenBenchmarking.orgWatts, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Power Consumption Monitor1224364860

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 TimesCore i7 1065G7Ryzen 5 4500U2004006008001000SE +/- 10.15, N = 3SE +/- 1.33, N = 3837994
MinAvgMaxRyzen 5 4500U139735663988Core i7 1065G7124834503899OpenBenchmarking.orgMegahertz, More Is BetterPyBench 2018-02-16CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U47.063.567.4Core i7 1065G752.089.1100.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyBench 2018-02-16CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.414.921.3OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor612182430

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: Pod2htmlCore i7 1065G7Ryzen 5 4500U0.02890.05780.08670.11560.1445SE +/- 0.00112827, N = 3SE +/- 0.00173692, N = 40.108343200.12838271
MinAvgMaxRyzen 5 4500U139738103989Core i7 1065G7130036743900OpenBenchmarking.orgMegahertz, More Is BetterPerl BenchmarksCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U42.363.267.5Core i7 1065G748.088.598.0OpenBenchmarking.orgCelsius, Fewer Is BetterPerl BenchmarksCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.920.0OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor612182430

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 TestRyzen 5 4500UCore i7 1065G75K10K15K20K25KSE +/- 304.64, N = 4SE +/- 249.42, N = 322912195341. (CXX) g++ options: -pipe -lpthread
MinAvgMaxRyzen 5 4500U139732233985Core i7 1065G7130123243806OpenBenchmarking.orgMegahertz, More Is Better7-Zip Compression 16.02CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.068.693.0Ryzen 5 4500U67.090.895.3OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.616.344.0OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 16.02CPU Power Consumption Monitor1224364860

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U400800120016002000SE +/- 1.00, N = 3SE +/- 8.17, N = 3150917681. firefox 81.0
MinAvgMaxRyzen 5 4500U139732363987Core i7 1065G7114632363855OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U40.859.670.1Core i7 1065G748.072.392.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.616.039.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1122334455

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRyzen 5 4500UCore i7 1065G720406080100SE +/- 0.33, N = 3SE +/- 0.55, N = 1377.5566.28MIN: 72.78 / MAX: 87.2MIN: 56.56 / MAX: 111.271. (CC) gcc options: -pthread
MinAvgMaxRyzen 5 4500U139735463985Core i7 1065G7120124653899OpenBenchmarking.orgMegahertz, More Is Betterdav1d 0.7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.072.6100.0Ryzen 5 4500U52.585.497.6OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.053.2OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.7.0CPU Power Consumption Monitor1530456075

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: WebXPRT - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U501001502002502412061. firefox 81.0
OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) MonitorCore i7 1065G7Ryzen 5 4500U7001400210028003500Min: 1042 / Avg: 1802.27 / Max: 3901Min: 1397 / Avg: 1793.7 / Max: 3992
OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature MonitorRyzen 5 4500UCore i7 1065G71632486480Min: 37.5 / Avg: 45.82 / Max: 62.25Min: 43 / Avg: 48.71 / Max: 83
OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption MonitorCore i7 1065G7714212835Min: 0.39 / Avg: 4.16 / Max: 32.67

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRyzen 5 4500UCore i7 1065G7816243240SE +/- 0.38, N = 3SE +/- 0.22, N = 328.3833.20MIN: 25.72 / MAX: 63.08MIN: 31.71 / MAX: 48.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSeleniumBenchmark: Maze Solver - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U246810SE +/- 0.00, N = 3SE +/- 0.06, N = 35.46.31. firefox 81.0
MinAvgMaxCore i7 1065G7110023153804Ryzen 5 4500U139721713916OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U42.551.662.3Core i7 1065G750.056.379.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.46.619.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pRyzen 5 4500UCore i7 1065G73691215SE +/- 0.100, N = 3SE +/- 0.117, N = 510.6139.1401. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxRyzen 5 4500U139732323983Core i7 1065G7127421823881OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.067.8100.0Ryzen 5 4500U66.193.7101.9OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.445.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption Monitor1224364860

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ryzen 5 4500UCore i7 1065G770K140K210K280K350KSE +/- 518.29, N = 3SE +/- 1081.93, N = 32954003425641. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxRyzen 5 4500U139730113619Core i7 1065G7121620933500OpenBenchmarking.orgMegahertz, More Is BetterCaffe 2020-02-13CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G754.068.199.0Ryzen 5 4500U66.892.996.4OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.152.7OpenBenchmarking.orgWatts, Fewer Is BetterCaffe 2020-02-13CPU Power Consumption Monitor1530456075

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U8K16K24K32K40KSE +/- 83.70, N = 3SE +/- 110.74, N = 335275304451. firefox 81.0
MinAvgMaxCore i7 1065G7110132823897Ryzen 5 4500U139732813988OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U37.855.164.4Core i7 1065G743.069.994.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.413.021.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Ryzen 5 4500UCore i7 1065G7246810SE +/- 0.011, N = 6SE +/- 0.077, N = 156.4057.4111. (CXX) g++ options: -O3 -fPIC
MinAvgMaxRyzen 5 4500U139728793988Core i7 1065G7120126723900OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.7.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U54.872.581.1Core i7 1065G752.073.8100.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.654.1OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.7.3CPU Power Consumption Monitor1530456075

Unigine Superposition

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

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLRyzen 5 4500UCore i7 1065G7510152025SE +/- 0.06, N = 3SE +/- 0.03, N = 322.619.6MAX: 29.5MAX: 24.9
MinAvgMaxRyzen 5 4500U139725693985Core i7 1065G7105617713890OpenBenchmarking.orgMegahertz, More Is BetterUnigine Superposition 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.067.597.0Ryzen 5 4500U67.177.196.9OpenBenchmarking.orgCelsius, Fewer Is BetterUnigine Superposition 1.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.931.3OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Superposition 1.0CPU Power Consumption Monitor918273645

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessCore i7 1065G7Ryzen 5 4500U510152025SE +/- 0.02, N = 3SE +/- 0.11, N = 318.6821.531. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxRyzen 5 4500U139735783988Core i7 1065G7120134263898OpenBenchmarking.orgMegahertz, More Is BetterWebP Image Encode 1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U45.057.167.1Core i7 1065G749.072.096.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.411.119.1OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.1CPU Power Consumption Monitor612182430

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G73691215SE +/- 0.015, N = 5SE +/- 0.167, N = 159.81711.291
MinAvgMaxCore i7 1065G7120124883901OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.897.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.044.4OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.0.1CPU Power Consumption Monitor1224364860

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ryzen 5 4500UCore i7 1065G730K60K90K120K150KSE +/- 633.99, N = 3SE +/- 798.33, N = 31131171299881. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxRyzen 5 4500U139731213868Core i7 1065G7130021083500OpenBenchmarking.orgMegahertz, More Is BetterCaffe 2020-02-13CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G755.068.6100.0Ryzen 5 4500U66.093.597.3OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.251.7OpenBenchmarking.orgWatts, Fewer Is BetterCaffe 2020-02-13CPU Power Consumption Monitor1530456075

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U4080120160200SE +/- 0.05, N = 3SE +/- 0.15, N = 3202.57176.331. firefox 81.0
MinAvgMaxCore i7 1065G7106434713901Ryzen 5 4500U139733773990OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U41.956.569.5Core i7 1065G747.076.498.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.513.622.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRyzen 5 4500UCore i7 1065G748121620SE +/- 0.03, N = 3SE +/- 0.02, N = 314.4916.58MIN: 14.11 / MAX: 33.77MIN: 14.8 / MAX: 17.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: InterpreterCore i7 1065G7Ryzen 5 4500U0.00020.00040.00060.00080.001SE +/- 0.00000280, N = 3SE +/- 0.00000580, N = 30.000925120.00105822
MinAvgMaxCore i7 1065G7130036043894Ryzen 5 4500U139735933990OpenBenchmarking.orgMegahertz, More Is BetterPerl BenchmarksCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U45.155.658.0Core i7 1065G750.070.481.0OpenBenchmarking.orgCelsius, Fewer Is BetterPerl BenchmarksCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.412.916.1OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor510152025

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pRyzen 5 4500UCore i7 1065G70.01620.03240.04860.06480.081SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0720.0631. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxRyzen 5 4500U139434813985Core i7 1065G7120223053872OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.070.9100.0Ryzen 5 4500U66.093.5102.8OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.054.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption Monitor1530456075

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G72004006008001000SE +/- 9.64, N = 15SE +/- 6.12, N = 10942.19825.22
MinAvgMaxRyzen 5 4500U139723673988Core i7 1065G7110122123900OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U45.058.068.4Core i7 1065G748.059.591.0OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.46.818.0OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption Monitor510152025

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G71326395265SE +/- 0.60, N = 15SE +/- 0.38, N = 1058.8951.58

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetCore i7 1065G7Ryzen 5 4500U612182430SE +/- 0.04, N = 3SE +/- 0.22, N = 321.7924.72MIN: 21.06 / MAX: 24.84MIN: 20.74 / MAX: 501. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.18, N = 3SE +/- 0.40, N = 395.0784.041. firefox 81.0
MinAvgMaxCore i7 1065G7104633683901Ryzen 5 4500U139733093992OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U42.959.781.3Core i7 1065G750.078.299.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.414.638.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1122334455

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRyzen 5 4500UCore i7 1065G7714212835SE +/- 0.04, N = 3SE +/- 0.41, N = 328.4425.211. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
MinAvgMaxRyzen 5 4500U139736383987Core i7 1065G7130126963899OpenBenchmarking.orgMegahertz, More Is BetterLibRaw 0.20CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.072.499.0Ryzen 5 4500U48.083.495.5OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.540.0OpenBenchmarking.orgWatts, Fewer Is BetterLibRaw 0.20CPU Power Consumption Monitor1122334455

Basemark GPU

This is a benchmark of Basemark GPU. For this test profile to work, you must have a valid license/copy of BasemarkGPU in your Phoronix Test Suite download cache. This test profile simply automates the execution of BasemarkGPU and you must already have the Windows .zip or Linux .tar.gz in the download cache. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: HighRyzen 5 4500UCore i7 1065G7510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 322.5920.21MIN: 13.48 / MAX: 37.86MIN: 11.15 / MAX: 32.94
MinAvgMaxRyzen 5 4500U139715273980Core i7 1065G7101812373851OpenBenchmarking.orgMegahertz, More Is BetterBasemark GPU 1.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U51.965.174.5Core i7 1065G753.066.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterBasemark GPU 1.2CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.625.7OpenBenchmarking.orgWatts, Fewer Is BetterBasemark GPU 1.2CPU Power Consumption Monitor816243240

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCore i7 1065G7Ryzen 5 4500U1.13632.27263.40894.54525.6815SE +/- 0.06, N = 7SE +/- 0.03, N = 35.054.52
MinAvgMaxRyzen 5 4500U139729463668Core i7 1065G7125719553430OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G752.069.299.0Ryzen 5 4500U53.581.695.1OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.2.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.249.5OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.2.0CPU Power Consumption Monitor1428425670

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 5 4500UCore i7 1065G7714212835SE +/- 0.23, N = 3SE +/- 0.09, N = 325.3128.16MIN: 22.86 / MAX: 63.78MIN: 27.28 / MAX: 48.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyCore i7 1065G7Ryzen 5 4500U0.06010.12020.18030.24040.3005SE +/- 0.000, N = 13SE +/- 0.003, N = 150.2400.267
MinAvgMaxCore i7 1065G7110018573900OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G750.056.291.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.44.819.9OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.0.1CPU Power Consumption Monitor612182430

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetCore i7 1065G7Ryzen 5 4500U510152025SE +/- 0.03, N = 3SE +/- 0.34, N = 320.5722.86MIN: 19.55 / MAX: 36.29MIN: 21.64 / MAX: 40.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownRyzen 5 4500UCore i7 1065G70.81661.63322.44983.26644.083SE +/- 0.0526, N = 3SE +/- 0.0530, N = 33.62943.2869MIN: 3.5 / MAX: 4.16MIN: 3.1 / MAX: 5.53
MinAvgMaxRyzen 5 4500U139730703711Core i7 1065G7111718163500OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G754.068.997.0Ryzen 5 4500U67.392.897.5OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.9.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.253.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.9.0CPU Power Consumption Monitor1530456075

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUCore i7 1065G7Ryzen 5 4500U1632486480SE +/- 0.01, N = 3SE +/- 0.20, N = 366.5973.51
MinAvgMaxCore i7 1065G7125435183865Ryzen 5 4500U139732953986OpenBenchmarking.orgMegahertz, More Is BetterDeepSpeech 0.6CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U65.172.883.8Core i7 1065G753.076.291.0OpenBenchmarking.orgCelsius, Fewer Is BetterDeepSpeech 0.6CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.615.921.2OpenBenchmarking.orgWatts, Fewer Is BetterDeepSpeech 0.6CPU Power Consumption Monitor612182430

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U1122334455SE +/- 0.12, N = 3SE +/- 0.13, N = 343.3347.631. firefox 81.0
MinAvgMaxRyzen 5 4500U139735873988Core i7 1065G7107735143900OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U44.862.172.3Core i7 1065G750.082.399.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.414.722.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCore i7 1065G7Ryzen 5 4500U1122334455SE +/- 0.14, N = 3SE +/- 0.46, N = 343.7548.06MIN: 41.77 / MAX: 57.97MIN: 44.99 / MAX: 83.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxRyzen 5 4500U139734383986Core i7 1065G7120122463500OpenBenchmarking.orgMegahertz, More Is BetterNCNN 20200916CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.067.496.0Ryzen 5 4500U50.088.3102.8OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.344.9OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20200916CPU Power Consumption Monitor1224364860

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: CropRyzen 5 4500UCore i7 1065G73691215SE +/- 0.013, N = 5SE +/- 0.084, N = 159.0699.903
MinAvgMaxRyzen 5 4500U139730973986Core i7 1065G7120129953900OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U45.064.673.3Core i7 1065G752.074.895.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.828.4OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor918273645

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 4.1.1Time To OCR 7 ImagesCore i7 1065G7Ryzen 5 4500U612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 323.5225.62
MinAvgMaxCore i7 1065G7128233253901OpenBenchmarking.orgMegahertz, More Is BetterTesseract OCR 4.1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G752.078.398.0OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.424.2OpenBenchmarking.orgWatts, Fewer Is BetterTesseract OCR 4.1.1CPU Power Consumption Monitor816243240

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCore i7 1065G7Ryzen 5 4500U10002000300040005000SE +/- 19.36, N = 3SE +/- 45.90, N = 34496.694155.741. (CC) gcc options: -O3 -mavx2
MinAvgMaxRyzen 5 4500U139737873988Core i7 1065G7126036993898OpenBenchmarking.orgMegahertz, More Is BetterHimeno Benchmark 3.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U63.578.380.5Core i7 1065G753.083.796.0OpenBenchmarking.orgCelsius, Fewer Is BetterHimeno Benchmark 3.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.719.5OpenBenchmarking.orgWatts, Fewer Is BetterHimeno Benchmark 3.0CPU Power Consumption Monitor612182430

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastRyzen 5 4500UCore i7 1065G7246810SE +/- 0.01, N = 6SE +/- 0.06, N = 157.217.801. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxRyzen 5 4500U139728193986Core i7 1065G7117628033901OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.077.598.0Ryzen 5 4500U66.082.795.5OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.851.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor1530456075

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U2004006008001000SE +/- 1.36, N = 3SE +/- 6.53, N = 3830.1892.31. firefox 81.0
MinAvgMaxCore i7 1065G7109928943891Ryzen 5 4500U139727263987OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U41.555.669.6Core i7 1065G748.064.292.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.411.221.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCore i7 1065G7Ryzen 5 4500U816243240SE +/- 0.45, N = 4SE +/- 0.25, N = 2030.9833.141. (CC) gcc options: -O2 -std=c99
MinAvgMaxCore i7 1065G7119335163900Ryzen 5 4500U139734893990OpenBenchmarking.orgMegahertz, More Is BettereSpeak-NG Speech Engine 20200907CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U49.563.771.0Core i7 1065G749.078.992.0OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.412.817.3OpenBenchmarking.orgWatts, Fewer Is BettereSpeak-NG Speech Engine 20200907CPU Power Consumption Monitor510152025

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsCore i7 1065G7Ryzen 5 4500U1224364860SE +/- 0.01, N = 3SE +/- 0.05, N = 352.4055.611. git version 2.25.1
MinAvgMaxRyzen 5 4500U139737663985Core i7 1065G7120137233898OpenBenchmarking.orgMegahertz, More Is BetterGitCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U44.659.268.8Core i7 1065G752.084.495.0OpenBenchmarking.orgCelsius, Fewer Is BetterGitCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.814.619.3OpenBenchmarking.orgWatts, Fewer Is BetterGitCPU Power Consumption Monitor612182430

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 5 4500UCore i7 1065G71122334455SE +/- 0.08, N = 3SE +/- 0.68, N = 345.9348.631. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxRyzen 5 4500U139737583989Core i7 1065G7130132913897OpenBenchmarking.orgMegahertz, More Is BetterWebP Image Encode 1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U45.366.675.4Core i7 1065G750.073.697.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.233.8OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.1CPU Power Consumption Monitor1020304050

Unigine Superposition

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

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Medium - Renderer: OpenGLRyzen 5 4500UCore i7 1065G73691215SE +/- 0.03, N = 3SE +/- 0.00, N = 311.010.4MAX: 13.9MAX: 12.9
MinAvgMaxRyzen 5 4500U134122333994Core i7 1065G7102616513869OpenBenchmarking.orgMegahertz, More Is BetterUnigine Superposition 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.068.498.0Ryzen 5 4500U62.174.395.8OpenBenchmarking.orgCelsius, Fewer Is BetterUnigine Superposition 1.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.933.9OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Superposition 1.0CPU Power Consumption Monitor1020304050

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ryzen 5 4500UCore i7 1065G71224364860SE +/- 0.59, N = 3SE +/- 0.02, N = 349.9552.54MIN: 44.11 / MAX: 97.49MIN: 51.61 / MAX: 71.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreRyzen 5 4500UCore i7 1065G7130260390520650603574

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultRyzen 5 4500UCore i7 1065G70.36450.7291.09351.4581.8225SE +/- 0.001, N = 11SE +/- 0.002, N = 111.5561.6201. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxRyzen 5 4500U139722083989Core i7 1065G7120120223898OpenBenchmarking.orgMegahertz, More Is BetterWebP Image Encode 1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G751.058.991.0Ryzen 5 4500U52.961.668.8OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.45.416.0OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.1CPU Power Consumption Monitor510152025

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxRyzen 5 4500UCore i7 1065G7714212835SE +/- 0.03, N = 5SE +/- 0.33, N = 729.330.51. firefox 81.0
MinAvgMaxCore i7 1065G7110125843892Ryzen 5 4500U139724223987OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U42.855.563.3Core i7 1065G749.061.998.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.69.021.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxRyzen 5 4500UCore i7 1065G790180270360450SE +/- 2.17, N = 3SE +/- 0.75, N = 3400.7417.11. firefox 81.0
MinAvgMaxCore i7 1065G7110130673895Ryzen 5 4500U139729523987OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U44.362.170.1Core i7 1065G750.071.493.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.411.621.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

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: Rotate 90 DegreesRyzen 5 4500UCore i7 1065G71020304050SE +/- 0.26, N = 3SE +/- 0.33, N = 344.1345.94
MinAvgMaxRyzen 5 4500U139736513987Core i7 1065G7120135253901OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U47.367.675.8Core i7 1065G750.080.699.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.028.6OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor918273645

Basemark GPU

This is a benchmark of Basemark GPU. For this test profile to work, you must have a valid license/copy of BasemarkGPU in your Phoronix Test Suite download cache. This test profile simply automates the execution of BasemarkGPU and you must already have the Windows .zip or Linux .tar.gz in the download cache. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: MediumRyzen 5 4500UCore i7 1065G720406080100SE +/- 0.19, N = 3SE +/- 1.48, N = 3105.98101.98MIN: 26.63 / MAX: 217.02MIN: 53.82 / MAX: 190.65
MinAvgMaxRyzen 5 4500U139716093575Core i7 1065G7107913963762OpenBenchmarking.orgMegahertz, More Is BetterBasemark GPU 1.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U53.862.973.3Core i7 1065G754.064.571.0OpenBenchmarking.orgCelsius, Fewer Is BetterBasemark GPU 1.2CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.025.5OpenBenchmarking.orgWatts, Fewer Is BetterBasemark GPU 1.2CPU Power Consumption Monitor816243240

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Ryzen 5 4500UCore i7 1065G70.56121.12241.68362.24482.806SE +/- 0.001, N = 10SE +/- 0.001, N = 102.4242.4941. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxRyzen 5 4500U139724033987Core i7 1065G7120123933899OpenBenchmarking.orgMegahertz, More Is BetterWebP Image Encode 1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U46.058.266.0Core i7 1065G749.062.890.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.36.517.5OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.1CPU Power Consumption Monitor510152025

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: AntialiasRyzen 5 4500UCore i7 1065G71020304050SE +/- 0.03, N = 3SE +/- 0.42, N = 341.8843.07
MinAvgMaxRyzen 5 4500U139737013987Core i7 1065G7121535383900OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U47.167.976.0Core i7 1065G751.081.498.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.826.5OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor816243240

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 MP3Ryzen 5 4500UCore i7 1065G7246810SE +/- 0.003, N = 6SE +/- 0.003, N = 67.8137.9571. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
MinAvgMaxRyzen 5 4500U139731093988Core i7 1065G7120230633898OpenBenchmarking.orgMegahertz, More Is BetterLAME MP3 Encoding 3.100CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U53.868.674.5Core i7 1065G750.076.393.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAME MP3 Encoding 3.100CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.310.917.7OpenBenchmarking.orgWatts, Fewer Is BetterLAME MP3 Encoding 3.100CPU Power Consumption Monitor510152025

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 EnhanceRyzen 5 4500UCore i7 1065G71428425670SE +/- 0.03, N = 3SE +/- 0.04, N = 361.5762.41
MinAvgMaxRyzen 5 4500U139737973988Core i7 1065G7121337043901OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U45.365.074.4Core i7 1065G752.083.997.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.514.924.2OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor816243240

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionCore i7 1065G7Ryzen 5 4500U246810SE +/- 0.007, N = 6SE +/- 0.003, N = 67.4887.5681. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxRyzen 5 4500U139730973987Core i7 1065G7120129893898OpenBenchmarking.orgMegahertz, More Is BetterWebP Image Encode 1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U44.561.666.8Core i7 1065G749.075.293.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.410.718.7OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.1CPU Power Consumption Monitor612182430

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: Tile GlassCore i7 1065G7Ryzen 5 4500U816243240SE +/- 0.02, N = 3SE +/- 0.04, N = 333.4133.63
MinAvgMaxRyzen 5 4500U139735773987Core i7 1065G7129435353901OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U44.663.672.9Core i7 1065G752.081.994.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.429.6OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor918273645

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.33, N = 3SE +/- 0.16, N = 395.9196.51
MinAvgMaxRyzen 5 4500U139838173988Core i7 1065G7120037193901OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U46.065.573.8Core i7 1065G751.085.498.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.627.3OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor816243240

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i7 1065G7Ryzen 5 4500U510152025SE +/- 0.02, N = 3SE +/- 0.12, N = 318.6618.77
MinAvgMaxRyzen 5 4500U107035093986Core i7 1065G7129834373898OpenBenchmarking.orgMegahertz, More Is BetterDolfyn 0.527CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U61.574.877.3Core i7 1065G752.081.697.0OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.314.820.3OpenBenchmarking.orgWatts, Fewer Is BetterDolfyn 0.527CPU Power Consumption Monitor612182430

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: Wavelet BlurRyzen 5 4500UCore i7 1065G71530456075SE +/- 0.06, N = 3SE +/- 0.04, N = 366.1166.38
MinAvgMaxRyzen 5 4500U139737963988Core i7 1065G7123936923901OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U45.063.773.0Core i7 1065G752.083.695.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.325.4OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor816243240

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectRyzen 5 4500UCore i7 1065G7816243240SE +/- 0.07, N = 3SE +/- 0.05, N = 333.0433.10
MinAvgMaxRyzen 5 4500U139737003988Core i7 1065G7120135023900OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U44.863.670.3Core i7 1065G752.080.094.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.414.725.3OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor816243240

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Ryzen 5 4500U60012001800240030002580
MinAvgMaxRyzen 5 4500U139716563987OpenBenchmarking.orgMegahertz, More Is BetterVkFFT 2020-09-29CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U61.369.880.0OpenBenchmarking.orgCelsius, Fewer Is BetterVkFFT 2020-09-29CPU Temperature Monitor20406080100

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringCore i7 1065G71122334455Min: 0.16 / Avg: 14.6 / Max: 54.4

ParaView

MinAvgMaxCore i7 1065G70.512.531.4OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption Monitor918273645

LAMMPS Molecular Dynamics Simulator

MinAvgMaxCore i7 1065G70.315.247.9OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Power Consumption Monitor1428425670

FFTE

MinAvgMaxCore i7 1065G70.315.753.4OpenBenchmarking.orgWatts, Fewer Is BetterFFTE 7.0CPU Power Consumption Monitor1530456075

FLAC Audio Encoding

MinAvgMaxCore i7 1065G70.310.617.9OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.3.2CPU Power Consumption Monitor510152025

dav1d

MinAvgMaxCore i7 1065G70.316.249.0OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.7.0CPU Power Consumption Monitor1428425670

Darktable

MinAvgMaxCore i7 1065G753.070.094.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G70.316.045.8OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.0.1CPU Power Consumption Monitor1224364860

MinAvgMaxCore i7 1065G797424183900OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

MinAvgMaxCore i7 1065G748.069.1100.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G70.216.749.1OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.0.1CPU Power Consumption Monitor1428425670

MinAvgMaxCore i7 1065G7120121803899OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringCore i7 1065G7Ryzen 5 4500U20406080100Min: 42 / Avg: 69.59 / Max: 100Min: 34.75 / Avg: 79.57 / Max: 104.13

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringCore i7 1065G7Ryzen 5 4500U7001400210028003500Min: 846 / Avg: 2407.04 / Max: 3905Min: 1070 / Avg: 2996.15 / Max: 3994

ParaView

MinAvgMaxRyzen 5 4500U47.862.769.9Core i7 1065G750.074.099.0OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G7110127393897Ryzen 5 4500U139725533986OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7120240360480600SE +/- 8.56, N = 15SE +/- 0.27, N = 7536.72421.00
MinAvgMaxCore i7 1065G7110127393897Ryzen 5 4500U139725533986OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U47.862.769.9Core i7 1065G750.074.099.0OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.512.531.4OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption Monitor918273645

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G71224364860SE +/- 0.82, N = 15SE +/- 0.03, N = 751.5040.40

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceRyzen 5 4500UCore i7 1065G70.5041.0081.5122.0162.52SE +/- 0.04, N = 3SE +/- 0.10, N = 31.892.24MIN: 1.63 / MAX: 11.65MIN: 1.89 / MAX: 2.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Ryzen 5 4500UCore i7 1065G73691215SE +/- 0.40, N = 3SE +/- 0.41, N = 35.6910.69MIN: 4.84 / MAX: 25.54MIN: 9.15 / MAX: 12.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCore i7 1065G7Ryzen 5 4500U816243240SE +/- 0.08, N = 3SE +/- 5.29, N = 326.2233.23MIN: 24.91 / MAX: 45.43MIN: 25 / MAX: 86.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRyzen 5 4500UCore i7 1065G70.54451.0891.63352.1782.7225SE +/- 0.74, N = 3SE +/- 0.03, N = 32.382.42MIN: 1.43 / MAX: 12.59MIN: 2.27 / MAX: 8.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Core i7 1065G7Ryzen 5 4500U3691215SE +/- 0.01, N = 3SE +/- 2.01, N = 312.5512.91MIN: 10.54 / MAX: 30.37MIN: 9.24 / MAX: 32.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetCore i7 1065G7Ryzen 5 4500U246810SE +/- 1.02, N = 3SE +/- 1.29, N = 37.357.52MIN: 5.18 / MAX: 13.15MIN: 5.57 / MAX: 23.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Core i7 1065G7Ryzen 5 4500U246810SE +/- 0.68, N = 3SE +/- 1.51, N = 35.336.79MIN: 3.82 / MAX: 22.82MIN: 4.18 / MAX: 25.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Core i7 1065G7Ryzen 5 4500U3691215SE +/- 0.92, N = 3SE +/- 1.91, N = 36.839.22MIN: 4.84 / MAX: 12.75MIN: 6.09 / MAX: 26.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Core i7 1065G7Ryzen 5 4500U3691215SE +/- 1.02, N = 3SE +/- 1.25, N = 37.629.26MIN: 5.45 / MAX: 13.7MIN: 6.99 / MAX: 26.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Ryzen 5 4500UCore i7 1065G71.17342.34683.52024.69365.867SE +/- 0.026, N = 3SE +/- 0.572, N = 34.8005.215MIN: 4.3 / MAX: 20.54MIN: 3.92 / MAX: 30.131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

LAMMPS Molecular Dynamics Simulator

MinAvgMaxCore i7 1065G748.065.794.0Ryzen 5 4500U44.367.173.8OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139725783645Core i7 1065G7110122203545OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRyzen 5 4500UCore i7 1065G70.90921.81842.72763.63684.546SE +/- 0.013, N = 7SE +/- 0.086, N = 154.0412.6411. (CXX) g++ options: -O3 -pthread -lm
MinAvgMaxRyzen 5 4500U139725783645Core i7 1065G7110122203545OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G748.065.794.0Ryzen 5 4500U44.367.173.8OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.247.9OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Power Consumption Monitor1428425670

FFTE

MinAvgMaxCore i7 1065G749.065.297.0Ryzen 5 4500U44.868.976.6OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139724623986Core i7 1065G7120120503848OpenBenchmarking.orgMegahertz, More Is BetterFFTE 7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineRyzen 5 4500UCore i7 1065G75K10K15K20K25KSE +/- 121.01, N = 9SE +/- 865.95, N = 1522192.9721665.391. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
MinAvgMaxRyzen 5 4500U139724623986Core i7 1065G7120120503848OpenBenchmarking.orgMegahertz, More Is BetterFFTE 7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G749.065.297.0Ryzen 5 4500U44.868.976.6OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.753.4OpenBenchmarking.orgWatts, Fewer Is BetterFFTE 7.0CPU Power Consumption Monitor1530456075

FLAC Audio Encoding

MinAvgMaxCore i7 1065G751.074.795.0Ryzen 5 4500U66.979.187.8OpenBenchmarking.orgCelsius, Fewer Is BetterFLAC Audio Encoding 1.3.2CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139731023986Core i7 1065G7106530623901OpenBenchmarking.orgMegahertz, More Is BetterFLAC Audio Encoding 1.3.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACRyzen 5 4500UCore i7 1065G73691215SE +/- 0.012, N = 5SE +/- 0.229, N = 208.6149.3711. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
MinAvgMaxRyzen 5 4500U139731023986Core i7 1065G7106530623901OpenBenchmarking.orgMegahertz, More Is BetterFLAC Audio Encoding 1.3.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G751.074.795.0Ryzen 5 4500U66.979.187.8OpenBenchmarking.orgCelsius, Fewer Is BetterFLAC Audio Encoding 1.3.2CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.310.617.9OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.3.2CPU Power Consumption Monitor510152025

dav1d

MinAvgMaxRyzen 5 4500U46.973.987.5Core i7 1065G748.077.897.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139736033986Core i7 1065G7122030463900OpenBenchmarking.orgMegahertz, More Is Betterdav1d 0.7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pCore i7 1065G7Ryzen 5 4500U60120180240300SE +/- 4.30, N = 14SE +/- 0.85, N = 3265.01238.68MIN: 212.22 / MAX: 351.14MIN: 205.75 / MAX: 256.361. (CC) gcc options: -pthread
MinAvgMaxRyzen 5 4500U139736033986Core i7 1065G7122030463900OpenBenchmarking.orgMegahertz, More Is Betterdav1d 0.7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U46.973.987.5Core i7 1065G748.077.897.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.249.0OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.7.0CPU Power Consumption Monitor1428425670

Darktable

MinAvgMaxRyzen 5 4500U56.377.687.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableCPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139729013989OpenBenchmarking.orgMegahertz, More Is BetterDarktableCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G7246810SE +/- 0.010, N = 6SE +/- 0.130, N = 156.4208.031
MinAvgMaxCore i7 1065G797424183900OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.094.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.045.8OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.0.1CPU Power Consumption Monitor1224364860

MinAvgMaxRyzen 5 4500U49.077.091.9OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableCPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139732783988OpenBenchmarking.orgMegahertz, More Is BetterDarktableCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G748121620SE +/- 0.10, N = 3SE +/- 0.33, N = 1216.8417.02
MinAvgMaxCore i7 1065G7120121803899OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G748.069.1100.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.216.749.1OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.0.1CPU Power Consumption Monitor1428425670

184 Results Shown

NCNN:
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
GraphicsMagick
Mobile Neural Network
NCNN
TensorFlow Lite:
  Inception ResNet V2
  Inception V4
GraphicsMagick
TensorFlow Lite
NCNN
TensorFlow Lite:
  SqueezeNet
  Mobilenet Quant
NCNN
Mobile Neural Network
GraphicsMagick
TensorFlow Lite
ASTC Encoder
GraphicsMagick
Appleseed
GLmark2
Mobile Neural Network
LuxCoreRender
GraphicsMagick
BRL-CAD
NCNN
LuxCoreRender
libavif avifenc
ASTC Encoder
libavif avifenc
Blender
MPV
NCNN
GraphicsMagick
YafaRay
NCNN
ParaView:
  Many Spheres - 1920 x 1080:
    Frames / Sec
    MiPolys / Sec
MPV
Timed FFmpeg Compilation
Appleseed
GraphicsMagick
OCRMyPDF
Coremark
Selenium
AI Benchmark Alpha
Build2
Timed Linux Kernel Compilation
Mobile Neural Network
Selenium
ctx_clock
x265
NCNN
Zstd Compression
GNU Octave Benchmark
RawTherapee
Zstd Compression
RNNoise
TNN
OpenVKL
Embree
Numpy Benchmark
SVT-AV1
NCNN
SQLite Speedtest
TNN
NeatBench
Inkscape
AI Benchmark Alpha
NCNN
Selenium:
  Basemark - Firefox
  CanvasMark - Firefox
GEGL
Hugin
NCNN
libavif avifenc
LibreOffice
WireGuard + Linux Networking Stack Stress Test
PyBench
Perl Benchmarks
7-Zip Compression
Selenium
dav1d
Selenium
NCNN
Selenium
SVT-AV1
Caffe
Selenium
libavif avifenc
Unigine Superposition
WebP Image Encode
Darktable
Caffe
Selenium
NCNN
Perl Benchmarks
SVT-AV1
ParaView:
  Wavelet Volume - 1920 x 1080:
    MiVoxels / Sec
    Frames / Sec
NCNN
Selenium
LibRaw
Basemark GPU
Intel Open Image Denoise
NCNN
Darktable
NCNN
Embree
DeepSpeech
Selenium
NCNN
GEGL
Tesseract OCR
Himeno Benchmark
ASTC Encoder
Selenium
eSpeak-NG Speech Engine
Git
WebP Image Encode
Unigine Superposition
NCNN
AI Benchmark Alpha
WebP Image Encode
Selenium:
  WASM imageConvolute - Firefox
  WASM collisionDetection - Firefox
GEGL
Basemark GPU
WebP Image Encode
GEGL
LAME MP3 Encoding
GEGL
WebP Image Encode
GEGL:
  Tile Glass
  Cartoon
Dolfyn
GEGL:
  Wavelet Blur
  Reflect
VkFFT
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  CPU Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  Phoronix Test Suite System Monitoring
  Phoronix Test Suite System Monitoring
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
ParaView:
  Wavelet Contour - 1920 x 1080:
    MiPolys / Sec
    Frames / Sec
NCNN:
  Vulkan GPU - blazeface
  Vulkan GPU-v2-v2 - mobilenet-v2
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
Mobile Neural Network
LAMMPS Molecular Dynamics Simulator:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
LAMMPS Molecular Dynamics Simulator
FFTE:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
FFTE
FLAC Audio Encoding:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
FLAC Audio Encoding
dav1d:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
dav1d
Darktable:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
Darktable
Darktable:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
Darktable

Ryzen 5 4500U

Processor: AMD Ryzen 5 4500U @ 2.38GHz (6 Cores), Motherboard: LENOVO LNVNB161216 (EECN20WW BIOS), Chipset: AMD Renoir Root Complex, Memory: 16GB, Disk: 256GB SKHynix_HFM256GDHTNI-87A0B, Graphics: AMD Renoir 512MB (1500/400MHz), Audio: AMD Device 1637, Network: Realtek RTL8822CE 802.11ac PCIe

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20201002-generic (x86_64) 20201001, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.3.0-devel (git-57b4f60 2020-10-02 focal-oibaf-ppa) (LLVM 10.0.1), Vulkan: 1.2.145, Compiler: GCC 9.3.0 + Clang 10.0.1-1~oibaf~fTarget:, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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,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 Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8600102
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: Not affected + 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 2 October 2020 11:28 by user pts.

Core i7 1065G7

Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Device 34ef, Memory: 16GB, Disk: KBG40ZPZ512G NVMe TOSHIBA 512GB, Graphics: Intel Iris Plus G7 3GB (1100MHz), Audio: Realtek ALC289, Network: Intel Killer Wi-Fi 6 AX1650i 160MHz

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20201003-generic (x86_64) 20201002, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.3.0-devel (git-81cd4c8 2020-10-03 focal-oibaf-ppa), Vulkan: 1.2.145, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200

Compiler Notes: --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,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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78
Python Notes: Python 3.8.2
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + 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

Testing initiated at 3 October 2020 06:51 by user pts.