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
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  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-v2Core i7 1065G7Ryzen 5 4500U3691215SE +/- 0.35, N = 3SE +/- 0.03, N = 310.664.13MIN: 10.08 / MAX: 12.18MIN: 3.8 / MAX: 5.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetCore i7 1065G7Ryzen 5 4500U3691215SE +/- 0.02, N = 3SE +/- 0.01, N = 310.835.20MIN: 10.5 / MAX: 14.28MIN: 4.9 / MAX: 11.71. (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: ResizingCore i7 1065G7Ryzen 5 4500U120240360480600SE +/- 4.18, N = 3SE +/- 5.46, N = 32805761. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxCore i7 1065G7120122063500Ryzen 5 4500U139730243724OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U63.192.4100.4Core i7 1065G752.068.097.0OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.648.5OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor14284256701. Core i7 1065G7: Approximate power consumption of 915 Joules per run.

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-v1-1.0Core i7 1065G7Ryzen 5 4500U3691215SE +/- 0.013, N = 3SE +/- 0.029, N = 39.4334.831MIN: 8.89 / MAX: 15.49MIN: 4.3 / MAX: 21.971. (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: resnet18Core i7 1065G7Ryzen 5 4500U48121620SE +/- 0.03, N = 3SE +/- 0.01, N = 317.118.83MIN: 16.81 / MAX: 17.39MIN: 8.54 / MAX: 10.221. (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 V2Core i7 1065G7Ryzen 5 4500U2M4M6M8M10MSE +/- 21082.23, N = 3SE +/- 21501.76, N = 383038004332290
MinAvgMaxCore i7 1065G7130024183502Ryzen 5 4500U139730403478OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U66.893.197.4Core i7 1065G754.070.795.0OpenBenchmarking.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 Monitor11223344551. Core i7 1065G7: Approximate power consumption of 2338 Joules per run.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i7 1065G7Ryzen 5 4500U2M4M6M8M10MSE +/- 16982.47, N = 3SE +/- 22097.79, N = 391701504793913
MinAvgMaxCore i7 1065G7125424173501Ryzen 5 4500U139730283567OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U66.994.3100.1Core i7 1065G753.070.994.0OpenBenchmarking.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 Monitor11223344551. Core i7 1065G7: Approximate power consumption of 2333 Joules per run.

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: EnhancedCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.75, N = 4SE +/- 1.00, N = 3571091. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxCore i7 1065G7117624063500Ryzen 5 4500U139730913616OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U65.689.3100.5Core i7 1065G753.068.792.0OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.343.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor12243648601. Core i7 1065G7: Approximate power consumption of 895 Joules per run.

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 FloatCore i7 1065G7Ryzen 5 4500U90K180K270K360K450KSE +/- 5701.34, N = 3SE +/- 2082.31, N = 3422984221797
MinAvgMaxCore i7 1065G7125224443503Ryzen 5 4500U139730173569OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U65.691.996.5Core i7 1065G753.070.695.0OpenBenchmarking.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 Monitor11223344551. Core i7 1065G7: Approximate power consumption of 917 Joules per run.

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: resnet50Core i7 1065G7Ryzen 5 4500U816243240SE +/- 0.02, N = 3SE +/- 0.01, N = 335.8219.02MIN: 35.58 / MAX: 36.17MIN: 18.55 / MAX: 20.081. (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: SqueezeNetCore i7 1065G7Ryzen 5 4500U130K260K390K520K650KSE +/- 8228.71, N = 3SE +/- 3146.34, N = 3626064334171
MinAvgMaxCore i7 1065G7120124343501Ryzen 5 4500U139730313554OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U67.393.699.6Core i7 1065G753.070.896.0OpenBenchmarking.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 Monitor11223344551. Core i7 1065G7: Approximate power consumption of 928 Joules per run.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i7 1065G7Ryzen 5 4500U90K180K270K360K450KSE +/- 5726.85, N = 3SE +/- 2233.04, N = 3421963226773
MinAvgMaxCore i7 1065G7125725073500Ryzen 5 4500U139730343574OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U66.492.397.8Core i7 1065G753.070.992.0OpenBenchmarking.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 Monitor11223344551. Core i7 1065G7: Approximate power consumption of 927 Joules per run.

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-v3Core i7 1065G7Ryzen 5 4500U3691215SE +/- 0.36, N = 3SE +/- 0.03, N = 311.736.34MIN: 10.88 / MAX: 14.69MIN: 5.92 / MAX: 23.581. (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-v2-50Core i7 1065G7Ryzen 5 4500U1326395265SE +/- 0.35, N = 3SE +/- 0.21, N = 359.0332.11MIN: 56.05 / MAX: 82.31MIN: 29.79 / MAX: 51.511. (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: SharpenCore i7 1065G7Ryzen 5 4500U1632486480SE +/- 0.67, N = 3SE +/- 1.15, N = 341721. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxCore i7 1065G7124322493500Ryzen 5 4500U139730433652OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U49.986.696.6Core i7 1065G752.069.298.0OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.749.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor14284256701. Core i7 1065G7: Approximate power consumption of 922 Joules per run.

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 MobileCore i7 1065G7Ryzen 5 4500U100K200K300K400K500KSE +/- 6073.35, N = 3SE +/- 909.74, N = 3455216261175
MinAvgMaxCore i7 1065G7130124013501Ryzen 5 4500U139730983974OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U67.494.2101.5Core i7 1065G754.070.396.0OpenBenchmarking.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 Monitor12243648601. Core i7 1065G7: Approximate power consumption of 932 Joules per run.

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: ThoroughCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.77, N = 3SE +/- 0.75, N = 3100.0559.081. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxCore i7 1065G7120122973901Ryzen 5 4500U139731073985OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U55.587.795.3Core i7 1065G752.069.599.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.616.251.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 1525 Joules per run.

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: SwirlCore i7 1065G7Ryzen 5 4500U50100150200250SE +/- 2.08, N = 3SE +/- 2.19, N = 31482471. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxCore i7 1065G7119621343500Ryzen 5 4500U139731313671OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U64.389.096.6Core i7 1065G754.068.2100.0OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.816.352.7OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 900 Joules per run.

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 MaterialCore i7 1065G7Ryzen 5 4500U2004006008001000860.34523.47
OpenBenchmarking.orgMegahertz, More Is BetterAppleseed 2.0 BetaCPU Peak Freq (Highest CPU Core Frequency) MonitorCore i7 1065G7Ryzen 5 4500U6001200180024003000Min: 1302 / Avg: 2126.8 / Max: 3500Min: 1397 / Avg: 2947.56 / Max: 3677
MinAvgMaxRyzen 5 4500U65.893.999.3Core i7 1065G752.067.399.0OpenBenchmarking.orgCelsius, Fewer Is BetterAppleseed 2.0 BetaCPU Temperature Monitor20406080100
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 1080Core i7 1065G7Ryzen 5 4500U40080012001600200010151661
MinAvgMaxCore i7 1065G7105016773802Ryzen 5 4500U139718923988OpenBenchmarking.orgMegahertz, More Is BetterGLmark2 2020.04CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G751.063.271.0Ryzen 5 4500U44.862.976.0OpenBenchmarking.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-v3Core i7 1065G7Ryzen 5 4500U1632486480SE +/- 0.56, N = 3SE +/- 0.23, N = 372.3744.58MIN: 69.84 / MAX: 95.03MIN: 41.67 / MAX: 82.431. (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
MinAvgMaxCore i7 1065G7124621193895Ryzen 5 4500U139730483815OpenBenchmarking.orgMegahertz, More Is BetterMobile Neural Network 2020-09-17CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U61.891.496.8Core i7 1065G753.067.799.0OpenBenchmarking.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 Monitor15304560751. Core i7 1065G7: Approximate power consumption of 2488 Joules per run.

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 PrismCore i7 1065G7Ryzen 5 4500U0.18450.3690.55350.7380.9225SE +/- 0.00, N = 10SE +/- 0.01, N = 30.510.82MIN: 0.46 / MAX: 0.83MIN: 0.78 / MAX: 0.93
MinAvgMaxCore i7 1065G7124921133894Ryzen 5 4500U139730163971OpenBenchmarking.orgMegahertz, More Is BetterLuxCoreRender 2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U62.088.495.6Core i7 1065G752.067.3100.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.153.7OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.3CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 907 Joules per run.

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-GaussianCore i7 1065G7Ryzen 5 4500U306090120150SE +/- 1.00, N = 3SE +/- 1.20, N = 3781251. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxCore i7 1065G7110122683501Ryzen 5 4500U139732483985OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U68.991.999.1Core i7 1065G753.068.799.0OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.548.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor14284256701. Core i7 1065G7: Approximate power consumption of 915 Joules per run.

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 MetricCore i7 1065G7Ryzen 5 4500U11K22K33K44K55K31812508661. (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
MinAvgMaxCore i7 1065G7125220733389Ryzen 5 4500U139729753964OpenBenchmarking.orgMegahertz, More Is BetterBRL-CAD 7.30.8CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U66.891.998.1Core i7 1065G753.068.4100.0OpenBenchmarking.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: googlenetCore i7 1065G7Ryzen 5 4500U510152025SE +/- 0.02, N = 3SE +/- 0.10, N = 318.6811.74MIN: 18.52 / MAX: 19.07MIN: 11.01 / MAX: 301. (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: DLSCCore i7 1065G7Ryzen 5 4500U0.16430.32860.49290.65720.8215SE +/- 0.00, N = 8SE +/- 0.01, N = 30.460.73MIN: 0.42 / MAX: 0.69MIN: 0.7 / MAX: 0.8
MinAvgMaxCore i7 1065G7120221353901Ryzen 5 4500U139730803984OpenBenchmarking.orgMegahertz, More Is BetterLuxCoreRender 2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U60.083.294.9Core i7 1065G752.067.098.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.153.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.3CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 913 Joules per run.

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: 2Core i7 1065G7Ryzen 5 4500U306090120150SE +/- 0.85, N = 3SE +/- 0.59, N = 3153.4596.771. (CXX) g++ options: -O3 -fPIC
MinAvgMaxCore i7 1065G7120223013900Ryzen 5 4500U139731753984OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.7.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U64.389.896.9Core i7 1065G754.071.3100.0OpenBenchmarking.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 Monitor15304560751. Core i7 1065G7: Approximate power consumption of 2182 Joules per run.

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: MediumCore i7 1065G7Ryzen 5 4500U3691215SE +/- 0.20, N = 12SE +/- 0.02, N = 413.208.441. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxCore i7 1065G7119425543901Ryzen 5 4500U139730453987OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U55.576.888.6Core i7 1065G753.073.799.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.551.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 306 Joules per run.

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: 0Core i7 1065G7Ryzen 5 4500U60120180240300SE +/- 1.15, N = 3SE +/- 0.58, N = 3258.15165.971. (CXX) g++ options: -O3 -fPIC
MinAvgMaxCore i7 1065G7120223043900Ryzen 5 4500U139731533988OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.7.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U66.690.8100.4Core i7 1065G753.071.2100.0OpenBenchmarking.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 Monitor15304560751. Core i7 1065G7: Approximate power consumption of 3625 Joules per run.

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-OnlyCore i7 1065G7Ryzen 5 4500U130260390520650SE +/- 1.26, N = 3SE +/- 3.78, N = 3619.67399.89
OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.90CPU Peak Freq (Highest CPU Core Frequency) MonitorCore i7 1065G7Ryzen 5 4500U7001400210028003500Min: 1252 / Avg: 2107.98 / Max: 3729Min: 1397 / Avg: 3035.9 / Max: 3746
MinAvgMaxRyzen 5 4500U53.092.296.1Core i7 1065G754.068.6100.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.90CPU Temperature Monitor20406080100
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.90CPU Power Consumption MonitorCore i7 1065G71122334455Min: 0.49 / Avg: 16.06 / Max: 54.121. Core i7 1065G7: Approximate power consumption of 8607 Joules per run.

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 OnlyCore i7 1065G7Ryzen 5 4500U150300450600750SE +/- 3.97, N = 10SE +/- 3.01, N = 3442.46683.98MIN: 299.75 / MAX: 631.09MIN: 480.01 / MAX: 857.171. mpv 0.32.0
MinAvgMaxCore i7 1065G7120630483899Ryzen 5 4500U139736363987OpenBenchmarking.orgMegahertz, More Is BetterMPVCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U51.179.989.1Core i7 1065G747.074.192.0OpenBenchmarking.orgCelsius, Fewer Is BetterMPVCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.148.7OpenBenchmarking.orgWatts, Fewer Is BetterMPVCPU Power Consumption Monitor14284256701. Core i7 1065G7: Approximate power consumption of 1718 Joules per run.

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: vgg16Core i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.03, N = 3SE +/- 0.27, N = 395.9062.04MIN: 93.54 / MAX: 96.72MIN: 60.99 / MAX: 81.461. (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 SpaceCore i7 1065G7Ryzen 5 4500U2004006008001000SE +/- 7.51, N = 3SE +/- 6.08, N = 35228061. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxCore i7 1065G7130025383891Ryzen 5 4500U139736133986OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U53.590.999.9Core i7 1065G754.071.099.0OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.538.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor11223344551. Core i7 1065G7: Approximate power consumption of 910 Joules per run.

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 SceneCore i7 1065G7Ryzen 5 4500U120240360480600SE +/- 0.69, N = 3SE +/- 1.96, N = 3538.41349.331. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgMegahertz, More Is BetterYafaRay 3.4.1CPU Peak Freq (Highest CPU Core Frequency) MonitorCore i7 1065G7Ryzen 5 4500U7001400210028003500Min: 1300 / Avg: 2107.01 / Max: 3796Min: 1397 / Avg: 2981.69 / Max: 3983
MinAvgMaxRyzen 5 4500U66.093.095.6Core i7 1065G754.068.4100.0OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgWatts, Fewer Is BetterYafaRay 3.4.1CPU Power Consumption MonitorCore i7 1065G71122334455Min: 0.41 / Avg: 16.08 / Max: 53.521. Core i7 1065G7: Approximate power consumption of 7442 Joules per run.

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: vgg16Ryzen 5 4500UCore i7 1065G720406080100SE +/- 0.42, N = 3SE +/- 0.02, N = 3109.8571.56MIN: 107.76 / MAX: 158.7MIN: 70.12 / MAX: 87.591. (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 1080Core i7 1065G7Ryzen 5 4500U246810SE +/- 0.02, N = 3SE +/- 0.08, N = 35.768.77

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Many Spheres - Resolution: 1920 x 1080Core i7 1065G7Ryzen 5 4500U2004006008001000SE +/- 1.93, N = 3SE +/- 7.76, N = 3577.24878.80
MinAvgMaxCore i7 1065G7100128863898Ryzen 5 4500U139731893987OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.074.0100.0Ryzen 5 4500U48.566.878.8OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.514.922.8OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 318 Joules per run.

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 OnlyCore i7 1065G7Ryzen 5 4500U60120180240300SE +/- 1.14, N = 3SE +/- 0.39, N = 3170.38259.13MIN: 115.15 / MAX: 266.45MIN: 193.55 / MAX: 324.331. mpv 0.32.0
MinAvgMaxCore i7 1065G7120026793898Ryzen 5 4500U139736303986OpenBenchmarking.orgMegahertz, More Is BetterMPVCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U53.085.899.3Core i7 1065G752.072.896.0OpenBenchmarking.orgCelsius, Fewer Is BetterMPVCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.145.9OpenBenchmarking.orgWatts, Fewer Is BetterMPVCPU Power Consumption Monitor12243648601. Core i7 1065G7: Approximate power consumption of 3078 Joules per run.

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 CompileCore i7 1065G7Ryzen 5 4500U4080120160200SE +/- 0.26, N = 3SE +/- 0.86, N = 3180.69121.31
MinAvgMaxCore i7 1065G7127421873894Ryzen 5 4500U139730773980OpenBenchmarking.orgMegahertz, More Is BetterTimed FFmpeg Compilation 4.2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U67.691.595.6Core i7 1065G753.069.098.0OpenBenchmarking.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 Monitor15304560751. Core i7 1065G7: Approximate power consumption of 2603 Joules per run.

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 TesterCore i7 1065G7Ryzen 5 4500U2004006008001000783.82532.12
OpenBenchmarking.orgMegahertz, More Is BetterAppleseed 2.0 BetaCPU Peak Freq (Highest CPU Core Frequency) MonitorCore i7 1065G7Ryzen 5 4500U7001400210028003500Min: 1247 / Avg: 2176.84 / Max: 3773Min: 1397 / Avg: 3014.94 / Max: 3980
MinAvgMaxRyzen 5 4500U66.991.998.3Core i7 1065G753.067.699.0OpenBenchmarking.orgCelsius, Fewer Is BetterAppleseed 2.0 BetaCPU Temperature Monitor20406080100
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: RotateRyzen 5 4500UCore i7 1065G72004006008001000SE +/- 3.76, N = 3SE +/- 2.52, N = 36068891. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxCore i7 1065G7130037503901Ryzen 5 4500U139738033988OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.083.290.0Ryzen 5 4500U58.665.271.5OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.618.6OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 858 Joules per run.

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 DocumentCore i7 1065G7Ryzen 5 4500U1530456075SE +/- 0.66, N = 3SE +/- 0.12, N = 365.2844.60
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 Monitor15304560751. Core i7 1065G7: Approximate power consumption of 975 Joules per run.

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 SecondCore i7 1065G7Ryzen 5 4500U40K80K120K160K200KSE +/- 1210.76, N = 8SE +/- 1080.56, N = 3114477.28167307.981. (CC) gcc options: -O2 -lrt" -lrt
MinAvgMaxCore i7 1065G7124424793900Ryzen 5 4500U139732413986OpenBenchmarking.orgMegahertz, More Is BetterCoremark 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U66.885.897.0Core i7 1065G754.071.194.0OpenBenchmarking.orgCelsius, Fewer Is BetterCoremark 1.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.045.4OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor12243648601. Core i7 1065G7: Approximate power consumption of 492 Joules per run.

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: FirefoxRyzen 5 4500UCore i7 1065G720406080100SE +/- 0.24, N = 3SE +/- 0.62, N = 359.586.71. firefox 81.0
MinAvgMaxRyzen 5 4500U139730123988Core i7 1065G7110131633893OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G749.068.991.0Ryzen 5 4500U42.058.468.1OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.225.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8162432401. Core i7 1065G7: Approximate power consumption of 883 Joules per run.

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 ScoreCore i7 1065G7Ryzen 5 4500U150300450600750465676

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 CompileCore i7 1065G7Ryzen 5 4500U80160240320400SE +/- 1.92, N = 3SE +/- 1.31, N = 3352.19243.86
MinAvgMaxCore i7 1065G7130121983899Ryzen 5 4500U139730973918OpenBenchmarking.orgMegahertz, More Is BetterBuild2 0.12CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U65.391.694.3Core i7 1065G753.069.5100.0OpenBenchmarking.orgCelsius, Fewer Is BetterBuild2 0.12CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.216.149.4OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.12CPU Power Consumption Monitor14284256701. Core i7 1065G7: Approximate power consumption of 4930 Joules per run.

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 CompileCore i7 1065G7Ryzen 5 4500U60120180240300SE +/- 0.57, N = 3SE +/- 0.53, N = 3285.25200.77
MinAvgMaxCore i7 1065G7120221713896Ryzen 5 4500U139730613985OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 5.4CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U67.391.194.8Core i7 1065G755.068.998.0OpenBenchmarking.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 Monitor15304560751. Core i7 1065G7: Approximate power consumption of 4080 Joules per run.

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: SqueezeNetV1.0Core i7 1065G7Ryzen 5 4500U3691215SE +/- 0.087, N = 3SE +/- 0.039, N = 312.3258.745MIN: 11.75 / MAX: 33.89MIN: 7.71 / MAX: 26.51. (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: FirefoxRyzen 5 4500UCore i7 1065G720406080100SE +/- 0.37, N = 3SE +/- 0.16, N = 363.5188.671. firefox 81.0
MinAvgMaxRyzen 5 4500U139730793987Core i7 1065G7110031403891OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G749.069.092.0Ryzen 5 4500U42.153.065.5OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.412.422.2OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 1129 Joules per run.

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 TimeRyzen 5 4500UCore i7 1065G7306090120150SE +/- 0.27, N = 1311885
MinAvgMaxRyzen 5 4500U139717683986Core i7 1065G7120118003898OpenBenchmarking.orgMegahertz, More Is Betterctx_clockCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U51.360.874.3Core i7 1065G749.054.679.0OpenBenchmarking.orgCelsius, Fewer Is Betterctx_clockCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.42.69.7OpenBenchmarking.orgWatts, Fewer Is Betterctx_clockCPU Power Consumption Monitor4.428.8413.2617.6822.11. Core i7 1065G7: Approximate power consumption of 11 Joules per run.

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 EncodingCore i7 1065G7Ryzen 5 4500U714212835SE +/- 0.22, N = 9SE +/- 0.22, N = 322.1430.561. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore i7 1065G7130022233887Ryzen 5 4500U139730913985OpenBenchmarking.orgMegahertz, More Is Betterx265 3.1.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U71.592.6100.6Core i7 1065G754.070.1100.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.1.2CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.451.4OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.1.2CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 438 Joules per run.

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-tinyCore i7 1065G7Ryzen 5 4500U1020304050SE +/- 0.26, N = 3SE +/- 0.67, N = 342.0631.24MIN: 32.77 / MAX: 50.54MIN: 26.82 / MAX: 54.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxCore i7 1065G784616443899Ryzen 5 4500U117920603987OpenBenchmarking.orgMegahertz, More Is BetterNCNN 20200916CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U55.867.278.8Core i7 1065G747.059.893.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.413.627.5OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20200916CPU Power Consumption Monitor8162432401. Core i7 1065G7: Approximate power consumption of 1207 Joules per run.

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: 19Ryzen 5 4500UCore i7 1065G7510152025SE +/- 0.03, N = 3SE +/- 0.07, N = 316.021.51. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxCore i7 1065G7125226263899Ryzen 5 4500U139737343989OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.4.5CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U57.689.298.8Core i7 1065G753.070.698.0OpenBenchmarking.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 Monitor9182736451. Core i7 1065G7: Approximate power consumption of 1624 Joules per run.

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 5.2.0Ryzen 5 4500UCore i7 1065G7246810SE +/- 0.094, N = 5SE +/- 0.041, N = 258.9446.781
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 Monitor8162432401. Core i7 1065G7: Approximate power consumption of 111 Joules per run.

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 TimeCore i7 1065G7Ryzen 5 4500U306090120150SE +/- 1.02, N = 3SE +/- 0.53, N = 3114.7787.391. RawTherapee, version 5.8, command line.
MinAvgMaxCore i7 1065G7120225263894Ryzen 5 4500U139737323989OpenBenchmarking.orgMegahertz, More Is BetterRawTherapeeCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U43.486.1100.6Core i7 1065G749.067.998.0OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.344.5OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor12243648601. Core i7 1065G7: Approximate power consumption of 1677 Joules per run.

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: 3Ryzen 5 4500UCore i7 1065G77001400210028003500SE +/- 7.56, N = 3SE +/- 6.01, N = 32424.23165.41. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxCore i7 1065G7120130113901Ryzen 5 4500U139736253988OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.4.5CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U65.082.995.0Core i7 1065G753.072.592.0OpenBenchmarking.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 Monitor11223344551. Core i7 1065G7: Approximate power consumption of 432 Joules per run.

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 2020-06-28Core i7 1065G7Ryzen 5 4500U612182430SE +/- 0.08, N = 3SE +/- 0.02, N = 325.7619.771. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxRyzen 5 4500U139735523988Core i7 1065G7120135583898OpenBenchmarking.orgMegahertz, More Is BetterRNNoise 2020-06-28CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.075.581.0Ryzen 5 4500U66.173.376.8OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.412.415.6OpenBenchmarking.orgWatts, Fewer Is BetterRNNoise 2020-06-28CPU Power Consumption Monitor5101520251. Core i7 1065G7: Approximate power consumption of 318 Joules per run.

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 v2Core i7 1065G7Ryzen 5 4500U70140210280350SE +/- 0.51, N = 3SE +/- 0.64, N = 3336.74260.43MIN: 334.76 / MAX: 344.76MIN: 256.19 / MAX: 303.41. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxCore i7 1065G7125033883905Ryzen 5 4500U139734893986OpenBenchmarking.orgMegahertz, More Is BetterTNN 0.2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U64.980.984.6Core i7 1065G750.077.297.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.414.419.3OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.2.3CPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 347 Joules per run.

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: vklBenchmarkRyzen 5 4500UCore i7 1065G720406080100SE +/- 0.14, N = 3SE +/- 0.49, N = 359.6777.11MIN: 1 / MAX: 212MIN: 1 / MAX: 351
MinAvgMaxCore i7 1065G7130029553897Ryzen 5 4500U139737223988OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U60.983.996.3Core i7 1065G752.078.599.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.241.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor11223344551. Core i7 1065G7: Approximate power consumption of 1773 Joules per run.

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: CrownCore i7 1065G7Ryzen 5 4500U0.85611.71222.56833.42444.2805SE +/- 0.0275, N = 3SE +/- 0.0524, N = 42.96283.8048MIN: 2.89 / MAX: 4.76MIN: 3.7 / MAX: 4.39
MinAvgMaxCore i7 1065G7130120153500Ryzen 5 4500U139731223980OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U51.691.597.8Core i7 1065G751.067.6100.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.9.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.253.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.9.0CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 2923 Joules per run.

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 BenchmarkRyzen 5 4500UCore i7 1065G780160240320400SE +/- 0.63, N = 3SE +/- 0.96, N = 3282.20361.15
MinAvgMaxCore i7 1065G7114637263899Ryzen 5 4500U139739383990OpenBenchmarking.orgMegahertz, More Is BetterNumpy BenchmarkCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.088.998.0Ryzen 5 4500U54.168.273.8OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.715.921.4OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 3011 Joules per run.

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: 1080pCore i7 1065G7Ryzen 5 4500U0.29520.59040.88561.18081.476SE +/- 0.010, N = 3SE +/- 0.015, N = 31.0291.3121. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxCore i7 1065G7130120083876Ryzen 5 4500U139731493981OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U65.992.7103.0Core i7 1065G752.067.6100.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.453.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 1178 Joules per run.

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-b0Core i7 1065G7Ryzen 5 4500U48121620SE +/- 0.02, N = 3SE +/- 0.04, N = 316.7813.18MIN: 16.45 / MAX: 18.83MIN: 12.74 / MAX: 14.051. (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 1,000Ryzen 5 4500UCore i7 1065G720406080100SE +/- 1.00, N = 3SE +/- 0.39, N = 374.7559.161. (CC) gcc options: -O2 -ldl -lz -lpthread
MinAvgMaxCore i7 1065G7125636813898Ryzen 5 4500U139738253989OpenBenchmarking.orgMegahertz, More Is BetterSQLite Speedtest 3.30CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.086.398.0Ryzen 5 4500U47.560.365.5OpenBenchmarking.orgCelsius, Fewer Is BetterSQLite Speedtest 3.30CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.820.2OpenBenchmarking.orgWatts, Fewer Is BetterSQLite Speedtest 3.30CPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 863 Joules per run.

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 v1.1Core i7 1065G7Ryzen 5 4500U70140210280350SE +/- 0.07, N = 3SE +/- 0.04, N = 3321.97256.24MIN: 320.21 / MAX: 325.91MIN: 255.57 / MAX: 258.951. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxRyzen 5 4500U139734673988Core i7 1065G7120234883900OpenBenchmarking.orgMegahertz, More Is BetterTNN 0.2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.077.498.0Ryzen 5 4500U54.670.474.8OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.411.615.5OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.2.3CPU Power Consumption Monitor5101520251. Core i7 1065G7: Approximate power consumption of 268 Joules per run.

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: CPURyzen 5 4500UCore i7 1065G73691215SE +/- 0.02, N = 8SE +/- 0.02, N = 78.1510.20
MinAvgMaxCore i7 1065G7119924243894Ryzen 5 4500U139726483983OpenBenchmarking.orgMegahertz, More Is BetterNeatBench 5CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U57.581.493.9Core i7 1065G753.072.897.0OpenBenchmarking.orgCelsius, Fewer Is BetterNeatBench 5CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.216.753.2OpenBenchmarking.orgWatts, Fewer Is BetterNeatBench 5CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 136 Joules per run.

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 PNGRyzen 5 4500UCore i7 1065G7714212835SE +/- 0.10, N = 3SE +/- 0.19, N = 328.0422.711. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
MinAvgMaxRyzen 5 4500U139732513987Core i7 1065G7125733953900OpenBenchmarking.orgMegahertz, More Is BetterInkscapeCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.077.597.0Ryzen 5 4500U56.668.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterInkscapeCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.513.117.3OpenBenchmarking.orgWatts, Fewer Is BetterInkscapeCPU Power Consumption Monitor5101520251. Core i7 1065G7: Approximate power consumption of 306 Joules per run.

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 ScoreCore i7 1065G7Ryzen 5 4500U3006009001200150010391279
OpenBenchmarking.orgMegahertz, More Is BetterAI Benchmark Alpha 0.1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorCore i7 1065G7Ryzen 5 4500U7001400210028003500Min: 1201 / Avg: 2135.27 / Max: 3901Min: 1397 / Avg: 3450.55 / Max: 3993
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Temperature MonitorRyzen 5 4500UCore i7 1065G720406080100Min: 34.75 / Avg: 92.06 / Max: 104.13Min: 42 / Avg: 69.69 / Max: 99
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: resnet18Ryzen 5 4500UCore i7 1065G7714212835SE +/- 0.15, N = 3SE +/- 0.04, N = 327.7922.59MIN: 25.64 / MAX: 56.64MIN: 20.34 / MAX: 44.741. (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: FirefoxRyzen 5 4500UCore i7 1065G7120240360480600SE +/- 1.96, N = 3SE +/- 2.86, N = 3449.51549.841. firefox 81.0
MinAvgMaxRyzen 5 4500U138126103986Core i7 1065G794926343894OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.066.197.0Ryzen 5 4500U44.358.373.6OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.613.235.2OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor10203040501. Core i7 1065G7: Approximate power consumption of 2252 Joules per run.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxRyzen 5 4500UCore i7 1065G73K6K9K12K15KSE +/- 122.05, N = 5SE +/- 46.36, N = 39794119261. firefox 81.0
MinAvgMaxRyzen 5 4500U139725123987Core i7 1065G7109629713865OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.065.389.0Ryzen 5 4500U43.651.663.8OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.510.720.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 1260 Joules per run.

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: ScaleCore i7 1065G7Ryzen 5 4500U246810SE +/- 0.070, N = 15SE +/- 0.022, N = 67.8846.498
MinAvgMaxCore i7 1065G7120127183900Ryzen 5 4500U139728943987OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.071.8100.0Ryzen 5 4500U46.068.778.3OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.034.8OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor10203040501. Core i7 1065G7: Approximate power consumption of 164 Joules per run.

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 TimeCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.77, N = 3SE +/- 0.35, N = 379.1665.38
MinAvgMaxCore i7 1065G7120128703899Ryzen 5 4500U139736623987OpenBenchmarking.orgMegahertz, More Is BetterHuginCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U52.986.896.6Core i7 1065G753.075.0100.0OpenBenchmarking.orgCelsius, Fewer Is BetterHuginCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.716.453.6OpenBenchmarking.orgWatts, Fewer Is BetterHuginCPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 1182 Joules per run.

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: mobilenetCore i7 1065G7Ryzen 5 4500U510152025SE +/- 0.23, N = 3SE +/- 0.32, N = 321.8518.12MIN: 19.51 / MAX: 25.69MIN: 12.98 / MAX: 38.171. (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: 8Core i7 1065G7Ryzen 5 4500U246810SE +/- 0.096, N = 15SE +/- 0.006, N = 68.4296.9951. (CXX) g++ options: -O3 -fPIC
MinAvgMaxCore i7 1065G7126326323900Ryzen 5 4500U139728713991OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.7.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U64.978.687.6Core i7 1065G753.074.9100.0OpenBenchmarking.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 Monitor15304560751. Core i7 1065G7: Approximate power consumption of 168 Joules per run.

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 PDFRyzen 5 4500UCore i7 1065G7246810SE +/- 0.050, N = 25SE +/- 0.052, N = 257.9766.6531. LibreOffice 7.0.1.2 00(Build:2)
MinAvgMaxCore i7 1065G7120131393900Ryzen 5 4500U139732823988OpenBenchmarking.orgMegahertz, More Is BetterLibreOfficeCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G751.072.193.0Ryzen 5 4500U49.559.268.0OpenBenchmarking.orgCelsius, Fewer Is BetterLibreOfficeCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.310.319.2OpenBenchmarking.orgWatts, Fewer Is BetterLibreOfficeCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 99 Joules per run.

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 TestCore i7 1065G7Ryzen 5 4500U70140210280350SE +/- 1.61, N = 3SE +/- 1.28, N = 3328.95276.87
MinAvgMaxCore i7 1065G7120122693500Ryzen 5 4500U139735793991OpenBenchmarking.orgMegahertz, More Is BetterWireGuard + Linux Networking Stack Stress TestCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U48.389.897.8Core i7 1065G752.068.188.0OpenBenchmarking.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 Monitor12243648601. Core i7 1065G7: Approximate power consumption of 4580 Joules per run.

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 TimesRyzen 5 4500UCore i7 1065G72004006008001000SE +/- 1.33, N = 3SE +/- 10.15, N = 3994837
MinAvgMaxCore i7 1065G7124834503899Ryzen 5 4500U139735663988OpenBenchmarking.orgMegahertz, More Is BetterPyBench 2018-02-16CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.089.1100.0Ryzen 5 4500U47.063.567.4OpenBenchmarking.orgCelsius, Fewer Is BetterPyBench 2018-02-16CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.414.921.3OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 303 Joules per run.

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: Pod2htmlRyzen 5 4500UCore i7 1065G70.02890.05780.08670.11560.1445SE +/- 0.00173692, N = 4SE +/- 0.00112827, N = 30.128382710.10834320
MinAvgMaxCore i7 1065G7130036743900Ryzen 5 4500U139738103989OpenBenchmarking.orgMegahertz, More Is BetterPerl BenchmarksCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G748.088.598.0Ryzen 5 4500U42.363.267.5OpenBenchmarking.orgCelsius, Fewer Is BetterPerl BenchmarksCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.920.0OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 1103 Joules per run.

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 TestCore i7 1065G7Ryzen 5 4500U5K10K15K20K25KSE +/- 249.42, N = 3SE +/- 304.64, N = 419534229121. (CXX) g++ options: -pipe -lpthread
MinAvgMaxCore i7 1065G7130123243806Ryzen 5 4500U139732233985OpenBenchmarking.orgMegahertz, More Is Better7-Zip Compression 16.02CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U67.090.895.3Core i7 1065G753.068.693.0OpenBenchmarking.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 Monitor12243648601. Core i7 1065G7: Approximate power consumption of 805 Joules per run.

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: FirefoxRyzen 5 4500UCore i7 1065G7400800120016002000SE +/- 8.17, N = 3SE +/- 1.00, N = 3176815091. firefox 81.0
MinAvgMaxCore i7 1065G7114632363855Ryzen 5 4500U139732363987OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G748.072.392.0Ryzen 5 4500U40.859.670.1OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.616.039.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor11223344551. Core i7 1065G7: Approximate power consumption of 352 Joules per run.

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 4KCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.55, N = 13SE +/- 0.33, N = 366.2877.55MIN: 56.56 / MAX: 111.27MIN: 72.78 / MAX: 87.21. (CC) gcc options: -pthread
MinAvgMaxCore i7 1065G7120124653899Ryzen 5 4500U139735463985OpenBenchmarking.orgMegahertz, More Is Betterdav1d 0.7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U52.585.497.6Core i7 1065G752.072.6100.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.053.2OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.7.0CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 1210 Joules per run.

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: FirefoxRyzen 5 4500UCore i7 1065G7501001502002502062411. firefox 81.0
OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) MonitorRyzen 5 4500UCore i7 1065G77001400210028003500Min: 1397 / Avg: 1793.7 / Max: 3992Min: 1042 / Avg: 1802.27 / Max: 3901
OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature MonitorCore i7 1065G7Ryzen 5 4500U1632486480Min: 43 / Avg: 48.71 / Max: 83Min: 37.5 / Avg: 45.82 / Max: 62.25
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: mobilenetCore i7 1065G7Ryzen 5 4500U816243240SE +/- 0.22, N = 3SE +/- 0.38, N = 333.2028.38MIN: 31.71 / MAX: 48.84MIN: 25.72 / MAX: 63.081. (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: FirefoxRyzen 5 4500UCore i7 1065G7246810SE +/- 0.06, N = 3SE +/- 0.00, N = 36.35.41. firefox 81.0
MinAvgMaxRyzen 5 4500U139721713916Core i7 1065G7110023153804OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G750.056.379.0Ryzen 5 4500U42.551.662.3OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.46.619.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 130 Joules per run.

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: 1080pCore i7 1065G7Ryzen 5 4500U3691215SE +/- 0.117, N = 5SE +/- 0.100, N = 39.14010.6131. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxCore i7 1065G7127421823881Ryzen 5 4500U139732323983OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U66.193.7101.9Core i7 1065G753.067.8100.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.445.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption Monitor12243648601. Core i7 1065G7: Approximate power consumption of 580 Joules per run.

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: 200Core i7 1065G7Ryzen 5 4500U70K140K210K280K350KSE +/- 1081.93, N = 3SE +/- 518.29, N = 33425642954001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxCore i7 1065G7121620933500Ryzen 5 4500U139730113619OpenBenchmarking.orgMegahertz, More Is BetterCaffe 2020-02-13CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U66.892.996.4Core i7 1065G754.068.199.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.152.7OpenBenchmarking.orgWatts, Fewer Is BetterCaffe 2020-02-13CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 4764 Joules per run.

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: FirefoxRyzen 5 4500UCore i7 1065G78K16K24K32K40KSE +/- 110.74, N = 3SE +/- 83.70, N = 330445352751. firefox 81.0
MinAvgMaxRyzen 5 4500U139732813988Core i7 1065G7110132823897OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G743.069.994.0Ryzen 5 4500U37.855.164.4OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.413.021.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 583 Joules per run.

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: 10Core i7 1065G7Ryzen 5 4500U246810SE +/- 0.077, N = 15SE +/- 0.011, N = 67.4116.4051. (CXX) g++ options: -O3 -fPIC
MinAvgMaxCore i7 1065G7120126723900Ryzen 5 4500U139728793988OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.7.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.073.8100.0Ryzen 5 4500U54.872.581.1OpenBenchmarking.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 Monitor15304560751. Core i7 1065G7: Approximate power consumption of 154 Joules per run.

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: OpenGLCore i7 1065G7Ryzen 5 4500U510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 319.622.6MAX: 24.9MAX: 29.5
MinAvgMaxCore i7 1065G7105617713890Ryzen 5 4500U139725693985OpenBenchmarking.orgMegahertz, More Is BetterUnigine Superposition 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U67.177.196.9Core i7 1065G754.067.597.0OpenBenchmarking.orgCelsius, Fewer Is BetterUnigine Superposition 1.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.931.3OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Superposition 1.0CPU Power Consumption Monitor9182736451. Core i7 1065G7: Approximate power consumption of 2734 Joules per run.

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, LosslessRyzen 5 4500UCore i7 1065G7510152025SE +/- 0.11, N = 3SE +/- 0.02, N = 321.5318.681. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxCore i7 1065G7120134263898Ryzen 5 4500U139735783988OpenBenchmarking.orgMegahertz, More Is BetterWebP Image Encode 1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G749.072.096.0Ryzen 5 4500U45.057.167.1OpenBenchmarking.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 Monitor6121824301. Core i7 1065G7: Approximate power consumption of 222 Joules per run.

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-onlyCore i7 1065G7Ryzen 5 4500U3691215SE +/- 0.167, N = 15SE +/- 0.015, N = 511.2919.817
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 Monitor12243648601. Core i7 1065G7: Approximate power consumption of 226 Joules per run.

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: 200Core i7 1065G7Ryzen 5 4500U30K60K90K120K150KSE +/- 798.33, N = 3SE +/- 633.99, N = 31299881131171. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxCore i7 1065G7130021083500Ryzen 5 4500U139731213868OpenBenchmarking.orgMegahertz, More Is BetterCaffe 2020-02-13CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U66.093.597.3Core i7 1065G755.068.6100.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.251.7OpenBenchmarking.orgWatts, Fewer Is BetterCaffe 2020-02-13CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 1871 Joules per run.

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: FirefoxRyzen 5 4500UCore i7 1065G74080120160200SE +/- 0.15, N = 3SE +/- 0.05, N = 3176.33202.571. firefox 81.0
MinAvgMaxRyzen 5 4500U139733773990Core i7 1065G7106434713901OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G747.076.498.0Ryzen 5 4500U41.956.569.5OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.513.622.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 2396 Joules per run.

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: alexnetCore i7 1065G7Ryzen 5 4500U48121620SE +/- 0.02, N = 3SE +/- 0.03, N = 316.5814.49MIN: 14.8 / MAX: 17.05MIN: 14.11 / MAX: 33.771. (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: InterpreterRyzen 5 4500UCore i7 1065G70.00020.00040.00060.00080.001SE +/- 0.00000580, N = 3SE +/- 0.00000280, N = 30.001058220.00092512
MinAvgMaxRyzen 5 4500U139735933990Core i7 1065G7130036043894OpenBenchmarking.orgMegahertz, More Is BetterPerl BenchmarksCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.070.481.0Ryzen 5 4500U45.155.658.0OpenBenchmarking.orgCelsius, Fewer Is BetterPerl BenchmarksCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.412.916.1OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor5101520251. Core i7 1065G7: Approximate power consumption of 699 Joules per run.

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: 1080pCore i7 1065G7Ryzen 5 4500U0.01620.03240.04860.06480.081SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0630.0721. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxCore i7 1065G7120223053872Ryzen 5 4500U139434813985OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 0.8CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U66.093.5102.8Core i7 1065G753.070.9100.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.054.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 4434 Joules per run.

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 1080Core i7 1065G7Ryzen 5 4500U2004006008001000SE +/- 6.12, N = 10SE +/- 9.64, N = 15825.22942.19
MinAvgMaxCore i7 1065G7110122123900Ryzen 5 4500U139723673988OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G748.059.591.0Ryzen 5 4500U45.058.068.4OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.46.818.0OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption Monitor5101520251. Core i7 1065G7: Approximate power consumption of 37 Joules per run.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Core i7 1065G7Ryzen 5 4500U1326395265SE +/- 0.38, N = 10SE +/- 0.60, N = 1551.5858.89

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: squeezenetRyzen 5 4500UCore i7 1065G7612182430SE +/- 0.22, N = 3SE +/- 0.04, N = 324.7221.79MIN: 20.74 / MAX: 50MIN: 21.06 / MAX: 24.841. (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.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 5 4500UCore i7 1065G720406080100SE +/- 0.40, N = 3SE +/- 0.18, N = 384.0495.071. firefox 81.0
MinAvgMaxRyzen 5 4500U139733093992Core i7 1065G7104633683901OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.078.299.0Ryzen 5 4500U42.959.781.3OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.414.638.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor11223344551. Core i7 1065G7: Approximate power consumption of 3087 Joules per run.

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 BenchmarkCore i7 1065G7Ryzen 5 4500U714212835SE +/- 0.41, N = 3SE +/- 0.04, N = 325.2128.441. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
MinAvgMaxCore i7 1065G7130126963899Ryzen 5 4500U139736383987OpenBenchmarking.orgMegahertz, More Is BetterLibRaw 0.20CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U48.083.495.5Core i7 1065G752.072.499.0OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.540.0OpenBenchmarking.orgWatts, Fewer Is BetterLibRaw 0.20CPU Power Consumption Monitor11223344551. Core i7 1065G7: Approximate power consumption of 750 Joules per run.

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: HighCore i7 1065G7Ryzen 5 4500U510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 320.2122.59MIN: 11.15 / MAX: 32.94MIN: 13.48 / MAX: 37.86
MinAvgMaxCore i7 1065G7101812373851Ryzen 5 4500U139715273980OpenBenchmarking.orgMegahertz, More Is BetterBasemark GPU 1.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.066.178.0Ryzen 5 4500U51.965.174.5OpenBenchmarking.orgCelsius, Fewer Is BetterBasemark GPU 1.2CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.625.7OpenBenchmarking.orgWatts, Fewer Is BetterBasemark GPU 1.2CPU Power Consumption Monitor8162432401. Core i7 1065G7: Approximate power consumption of 2937 Joules per run.

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: MemorialRyzen 5 4500UCore i7 1065G71.13632.27263.40894.54525.6815SE +/- 0.03, N = 3SE +/- 0.06, N = 74.525.05
MinAvgMaxCore i7 1065G7125719553430Ryzen 5 4500U139729463668OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U53.581.695.1Core i7 1065G752.069.299.0OpenBenchmarking.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 Monitor14284256701. Core i7 1065G7: Approximate power consumption of 616 Joules per run.

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: squeezenetCore i7 1065G7Ryzen 5 4500U714212835SE +/- 0.09, N = 3SE +/- 0.23, N = 328.1625.31MIN: 27.28 / MAX: 48.41MIN: 22.86 / MAX: 63.781. (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-onlyRyzen 5 4500UCore i7 1065G70.06010.12020.18030.24040.3005SE +/- 0.003, N = 15SE +/- 0.000, N = 130.2670.240
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 Monitor6121824301. Core i7 1065G7: Approximate power consumption of 21 Joules per run.

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: alexnetRyzen 5 4500UCore i7 1065G7510152025SE +/- 0.34, N = 3SE +/- 0.03, N = 322.8620.57MIN: 21.64 / MAX: 40.99MIN: 19.55 / MAX: 36.291. (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: CrownCore i7 1065G7Ryzen 5 4500U0.81661.63322.44983.26644.083SE +/- 0.0530, N = 3SE +/- 0.0526, N = 33.28693.6294MIN: 3.1 / MAX: 5.53MIN: 3.5 / MAX: 4.16
MinAvgMaxCore i7 1065G7111718163500Ryzen 5 4500U139730703711OpenBenchmarking.orgMegahertz, More Is BetterEmbree 3.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U67.392.897.5Core i7 1065G754.068.997.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.9.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.253.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.9.0CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 2654 Joules per run.

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: CPURyzen 5 4500UCore i7 1065G71632486480SE +/- 0.20, N = 3SE +/- 0.01, N = 373.5166.59
MinAvgMaxRyzen 5 4500U139732953986Core i7 1065G7125435183865OpenBenchmarking.orgMegahertz, More Is BetterDeepSpeech 0.6CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.076.291.0Ryzen 5 4500U65.172.883.8OpenBenchmarking.orgCelsius, Fewer Is BetterDeepSpeech 0.6CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.615.921.2OpenBenchmarking.orgWatts, Fewer Is BetterDeepSpeech 0.6CPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 836 Joules per run.

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: FirefoxRyzen 5 4500UCore i7 1065G71122334455SE +/- 0.13, N = 3SE +/- 0.12, N = 347.6343.331. firefox 81.0
MinAvgMaxCore i7 1065G7107735143900Ryzen 5 4500U139735873988OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.082.399.0Ryzen 5 4500U44.862.172.3OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.414.722.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 1682 Joules per run.

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-tinyRyzen 5 4500UCore i7 1065G71122334455SE +/- 0.46, N = 3SE +/- 0.14, N = 348.0643.75MIN: 44.99 / MAX: 83.21MIN: 41.77 / MAX: 57.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxCore i7 1065G7120122463500Ryzen 5 4500U139734383986OpenBenchmarking.orgMegahertz, More Is BetterNCNN 20200916CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U50.088.3102.8Core i7 1065G750.067.496.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.344.9OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20200916CPU Power Consumption Monitor12243648601. Core i7 1065G7: Approximate power consumption of 1498 Joules per run.

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: CropCore i7 1065G7Ryzen 5 4500U3691215SE +/- 0.084, N = 15SE +/- 0.013, N = 59.9039.069
MinAvgMaxCore i7 1065G7120129953900Ryzen 5 4500U139730973986OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.074.895.0Ryzen 5 4500U45.064.673.3OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.828.4OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor9182736451. Core i7 1065G7: Approximate power consumption of 189 Joules per run.

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 ImagesRyzen 5 4500UCore i7 1065G7612182430SE +/- 0.04, N = 3SE +/- 0.03, N = 325.6223.52
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 Monitor8162432401. Core i7 1065G7: Approximate power consumption of 369 Joules per run.

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 SolverRyzen 5 4500UCore i7 1065G710002000300040005000SE +/- 45.90, N = 3SE +/- 19.36, N = 34155.744496.691. (CC) gcc options: -O3 -mavx2
MinAvgMaxCore i7 1065G7126036993898Ryzen 5 4500U139737873988OpenBenchmarking.orgMegahertz, More Is BetterHimeno Benchmark 3.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.083.796.0Ryzen 5 4500U63.578.380.5OpenBenchmarking.orgCelsius, Fewer Is BetterHimeno Benchmark 3.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.719.5OpenBenchmarking.orgWatts, Fewer Is BetterHimeno Benchmark 3.0CPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 869 Joules per run.

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: FastCore i7 1065G7Ryzen 5 4500U246810SE +/- 0.06, N = 15SE +/- 0.01, N = 67.807.211. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxCore i7 1065G7117628033901Ryzen 5 4500U139728193986OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U66.082.795.5Core i7 1065G753.077.598.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.851.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 161 Joules per run.

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: FirefoxRyzen 5 4500UCore i7 1065G72004006008001000SE +/- 6.53, N = 3SE +/- 1.36, N = 3892.3830.11. firefox 81.0
MinAvgMaxRyzen 5 4500U139727263987Core i7 1065G7109928943891OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G748.064.292.0Ryzen 5 4500U41.555.669.6OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.411.221.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 320 Joules per run.

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 SynthesisRyzen 5 4500UCore i7 1065G7816243240SE +/- 0.25, N = 20SE +/- 0.45, N = 433.1430.981. (CC) gcc options: -O2 -std=c99
MinAvgMaxRyzen 5 4500U139734893990Core i7 1065G7119335163900OpenBenchmarking.orgMegahertz, More Is BettereSpeak-NG Speech Engine 20200907CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G749.078.992.0Ryzen 5 4500U49.563.771.0OpenBenchmarking.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 Monitor5101520251. Core i7 1065G7: Approximate power consumption of 388 Joules per run.

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 CommandsRyzen 5 4500UCore i7 1065G71224364860SE +/- 0.05, N = 3SE +/- 0.01, N = 355.6152.401. git version 2.25.1
MinAvgMaxCore i7 1065G7120137233898Ryzen 5 4500U139737663985OpenBenchmarking.orgMegahertz, More Is BetterGitCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.084.495.0Ryzen 5 4500U44.659.268.8OpenBenchmarking.orgCelsius, Fewer Is BetterGitCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.814.619.3OpenBenchmarking.orgWatts, Fewer Is BetterGitCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 721 Joules per run.

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 CompressionCore i7 1065G7Ryzen 5 4500U1122334455SE +/- 0.68, N = 3SE +/- 0.08, N = 348.6345.931. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxCore i7 1065G7130132913897Ryzen 5 4500U139737583989OpenBenchmarking.orgMegahertz, More Is BetterWebP Image Encode 1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.073.697.0Ryzen 5 4500U45.366.675.4OpenBenchmarking.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 Monitor10203040501. Core i7 1065G7: Approximate power consumption of 739 Joules per run.

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: OpenGLCore i7 1065G7Ryzen 5 4500U3691215SE +/- 0.00, N = 3SE +/- 0.03, N = 310.411.0MAX: 12.9MAX: 13.9
MinAvgMaxCore i7 1065G7102616513869Ryzen 5 4500U134122333994OpenBenchmarking.orgMegahertz, More Is BetterUnigine Superposition 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U62.174.395.8Core i7 1065G754.068.498.0OpenBenchmarking.orgCelsius, Fewer Is BetterUnigine Superposition 1.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.933.9OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Superposition 1.0CPU Power Consumption Monitor10203040501. Core i7 1065G7: Approximate power consumption of 2781 Joules per run.

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: resnet50Core i7 1065G7Ryzen 5 4500U1224364860SE +/- 0.02, N = 3SE +/- 0.59, N = 352.5449.95MIN: 51.61 / MAX: 71.22MIN: 44.11 / MAX: 97.491. (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 ScoreCore i7 1065G7Ryzen 5 4500U130260390520650574603

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: DefaultCore i7 1065G7Ryzen 5 4500U0.36450.7291.09351.4581.8225SE +/- 0.002, N = 11SE +/- 0.001, N = 111.6201.5561. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxCore i7 1065G7120120223898Ryzen 5 4500U139722083989OpenBenchmarking.orgMegahertz, More Is BetterWebP Image Encode 1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U52.961.668.8Core i7 1065G751.058.991.0OpenBenchmarking.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 Monitor5101520251. Core i7 1065G7: Approximate power consumption of 27 Joules per run.

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: FirefoxCore i7 1065G7Ryzen 5 4500U714212835SE +/- 0.33, N = 7SE +/- 0.03, N = 530.529.31. firefox 81.0
MinAvgMaxRyzen 5 4500U139724223987Core i7 1065G7110125843892OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G749.061.998.0Ryzen 5 4500U42.855.563.3OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.69.021.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 107 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxCore i7 1065G7Ryzen 5 4500U90180270360450SE +/- 0.75, N = 3SE +/- 2.17, N = 3417.1400.71. firefox 81.0
MinAvgMaxRyzen 5 4500U139729523987Core i7 1065G7110130673895OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.071.493.0Ryzen 5 4500U44.362.170.1OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.411.621.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 225 Joules per run.

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 DegreesCore i7 1065G7Ryzen 5 4500U1020304050SE +/- 0.33, N = 3SE +/- 0.26, N = 345.9444.13
MinAvgMaxCore i7 1065G7120135253901Ryzen 5 4500U139736513987OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.080.699.0Ryzen 5 4500U47.367.675.8OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.028.6OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor9182736451. Core i7 1065G7: Approximate power consumption of 689 Joules per run.

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: MediumCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 1.48, N = 3SE +/- 0.19, N = 3101.98105.98MIN: 53.82 / MAX: 190.65MIN: 26.63 / MAX: 217.02
MinAvgMaxCore i7 1065G7107913963762Ryzen 5 4500U139716093575OpenBenchmarking.orgMegahertz, More Is BetterBasemark GPU 1.2CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G754.064.571.0Ryzen 5 4500U53.862.973.3OpenBenchmarking.orgCelsius, Fewer Is BetterBasemark GPU 1.2CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.025.5OpenBenchmarking.orgWatts, Fewer Is BetterBasemark GPU 1.2CPU Power Consumption Monitor8162432401. Core i7 1065G7: Approximate power consumption of 696 Joules per run.

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 100Core i7 1065G7Ryzen 5 4500U0.56121.12241.68362.24482.806SE +/- 0.001, N = 10SE +/- 0.001, N = 102.4942.4241. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxCore i7 1065G7120123933899Ryzen 5 4500U139724033987OpenBenchmarking.orgMegahertz, More Is BetterWebP Image Encode 1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G749.062.890.0Ryzen 5 4500U46.058.266.0OpenBenchmarking.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 Monitor5101520251. Core i7 1065G7: Approximate power consumption of 38 Joules per run.

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: AntialiasCore i7 1065G7Ryzen 5 4500U1020304050SE +/- 0.42, N = 3SE +/- 0.03, N = 343.0741.88
MinAvgMaxCore i7 1065G7121535383900Ryzen 5 4500U139737013987OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G751.081.498.0Ryzen 5 4500U47.167.976.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.826.5OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor8162432401. Core i7 1065G7: Approximate power consumption of 641 Joules per run.

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 MP3Core i7 1065G7Ryzen 5 4500U246810SE +/- 0.003, N = 6SE +/- 0.003, N = 67.9577.8131. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm
MinAvgMaxCore i7 1065G7120230633898Ryzen 5 4500U139731093988OpenBenchmarking.orgMegahertz, More Is BetterLAME MP3 Encoding 3.100CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.076.393.0Ryzen 5 4500U53.868.674.5OpenBenchmarking.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 Monitor5101520251. Core i7 1065G7: Approximate power consumption of 113 Joules per run.

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 EnhanceCore i7 1065G7Ryzen 5 4500U1428425670SE +/- 0.04, N = 3SE +/- 0.03, N = 362.4161.57
MinAvgMaxCore i7 1065G7121337043901Ryzen 5 4500U139737973988OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.083.997.0Ryzen 5 4500U45.365.074.4OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.514.924.2OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor8162432401. Core i7 1065G7: Approximate power consumption of 861 Joules per run.

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 CompressionRyzen 5 4500UCore i7 1065G7246810SE +/- 0.003, N = 6SE +/- 0.007, N = 67.5687.4881. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxCore i7 1065G7120129893898Ryzen 5 4500U139730973987OpenBenchmarking.orgMegahertz, More Is BetterWebP Image Encode 1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G749.075.293.0Ryzen 5 4500U44.561.666.8OpenBenchmarking.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 Monitor6121824301. Core i7 1065G7: Approximate power consumption of 109 Joules per run.

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 GlassRyzen 5 4500UCore i7 1065G7816243240SE +/- 0.04, N = 3SE +/- 0.02, N = 333.6333.41
MinAvgMaxCore i7 1065G7129435353901Ryzen 5 4500U139735773987OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.081.994.0Ryzen 5 4500U44.663.672.9OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.429.6OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor9182736451. Core i7 1065G7: Approximate power consumption of 497 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonRyzen 5 4500UCore i7 1065G720406080100SE +/- 0.16, N = 3SE +/- 0.33, N = 396.5195.91
MinAvgMaxCore i7 1065G7120037193901Ryzen 5 4500U139838173988OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G751.085.498.0Ryzen 5 4500U46.065.573.8OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.515.627.3OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor8162432401. Core i7 1065G7: Approximate power consumption of 1345 Joules per run.

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 DynamicsRyzen 5 4500UCore i7 1065G7510152025SE +/- 0.12, N = 3SE +/- 0.02, N = 318.7718.66
MinAvgMaxCore i7 1065G7129834373898Ryzen 5 4500U107035093986OpenBenchmarking.orgMegahertz, More Is BetterDolfyn 0.527CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.081.697.0Ryzen 5 4500U61.574.877.3OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.314.820.3OpenBenchmarking.orgWatts, Fewer Is BetterDolfyn 0.527CPU Power Consumption Monitor6121824301. Core i7 1065G7: Approximate power consumption of 290 Joules per run.

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 BlurCore i7 1065G7Ryzen 5 4500U1530456075SE +/- 0.04, N = 3SE +/- 0.06, N = 366.3866.11
MinAvgMaxCore i7 1065G7123936923901Ryzen 5 4500U139737963988OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.083.695.0Ryzen 5 4500U45.063.773.0OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.325.4OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor8162432401. Core i7 1065G7: Approximate power consumption of 927 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i7 1065G7Ryzen 5 4500U816243240SE +/- 0.05, N = 3SE +/- 0.07, N = 333.1033.04
MinAvgMaxCore i7 1065G7120135023900Ryzen 5 4500U139737003988OpenBenchmarking.orgMegahertz, More Is BetterGEGLCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.080.094.0Ryzen 5 4500U44.863.670.3OpenBenchmarking.orgCelsius, Fewer Is BetterGEGLCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.414.725.3OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor8162432401. Core i7 1065G7: Approximate power consumption of 475 Joules per run.

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 MonitoringRyzen 5 4500UCore i7 1065G720406080100Min: 34.75 / Avg: 79.57 / Max: 104.13Min: 42 / Avg: 69.59 / Max: 100

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringRyzen 5 4500UCore i7 1065G77001400210028003500Min: 1070 / Avg: 2996.15 / Max: 3994Min: 846 / Avg: 2407.04 / Max: 3905

ParaView

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

MinAvgMaxRyzen 5 4500U139725533986Core i7 1065G7110127393897OpenBenchmarking.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 1080Core i7 1065G7Ryzen 5 4500U120240360480600SE +/- 0.27, N = 7SE +/- 8.56, N = 15421.00536.72
MinAvgMaxRyzen 5 4500U139725533986Core i7 1065G7110127393897OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G750.074.099.0Ryzen 5 4500U47.862.769.9OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.512.531.4OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption Monitor9182736451. Core i7 1065G7: Approximate power consumption of 109 Joules per run.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Core i7 1065G7Ryzen 5 4500U1224364860SE +/- 0.03, N = 7SE +/- 0.82, N = 1540.4051.50

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: blazefaceCore i7 1065G7Ryzen 5 4500U0.5041.0081.5122.0162.52SE +/- 0.10, N = 3SE +/- 0.04, N = 32.241.89MIN: 1.89 / MAX: 2.64MIN: 1.63 / MAX: 11.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Core i7 1065G7Ryzen 5 4500U3691215SE +/- 0.41, N = 3SE +/- 0.40, N = 310.695.69MIN: 9.15 / MAX: 12.68MIN: 4.84 / MAX: 25.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetRyzen 5 4500UCore i7 1065G7816243240SE +/- 5.29, N = 3SE +/- 0.08, N = 333.2326.22MIN: 25 / MAX: 86.31MIN: 24.91 / MAX: 45.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceCore i7 1065G7Ryzen 5 4500U0.54451.0891.63352.1782.7225SE +/- 0.03, N = 3SE +/- 0.74, N = 32.422.38MIN: 2.27 / MAX: 8.64MIN: 1.43 / MAX: 12.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Ryzen 5 4500UCore i7 1065G73691215SE +/- 2.01, N = 3SE +/- 0.01, N = 312.9112.55MIN: 9.24 / MAX: 32.19MIN: 10.54 / MAX: 30.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRyzen 5 4500UCore i7 1065G7246810SE +/- 1.29, N = 3SE +/- 1.02, N = 37.527.35MIN: 5.57 / MAX: 23.98MIN: 5.18 / MAX: 13.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Ryzen 5 4500UCore i7 1065G7246810SE +/- 1.51, N = 3SE +/- 0.68, N = 36.795.33MIN: 4.18 / MAX: 25.95MIN: 3.82 / MAX: 22.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 5 4500UCore i7 1065G73691215SE +/- 1.91, N = 3SE +/- 0.92, N = 39.226.83MIN: 6.09 / MAX: 26.34MIN: 4.84 / MAX: 12.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 5 4500UCore i7 1065G73691215SE +/- 1.25, N = 3SE +/- 1.02, N = 39.267.62MIN: 6.99 / MAX: 26.21MIN: 5.45 / MAX: 13.71. (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_224Core i7 1065G7Ryzen 5 4500U1.17342.34683.52024.69365.867SE +/- 0.572, N = 3SE +/- 0.026, N = 35.2154.800MIN: 3.92 / MAX: 30.13MIN: 4.3 / MAX: 20.541. (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

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

MinAvgMaxCore i7 1065G7110122203545Ryzen 5 4500U139725783645OpenBenchmarking.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 ProteinCore i7 1065G7Ryzen 5 4500U0.90921.81842.72763.63684.546SE +/- 0.086, N = 15SE +/- 0.013, N = 72.6414.0411. (CXX) g++ options: -O3 -pthread -lm
MinAvgMaxCore i7 1065G7110122203545Ryzen 5 4500U139725783645OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxRyzen 5 4500U44.367.173.8Core i7 1065G748.065.794.0OpenBenchmarking.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 Monitor14284256701. Core i7 1065G7: Approximate power consumption of 202 Joules per run.

FFTE

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

MinAvgMaxCore i7 1065G7120120503848Ryzen 5 4500U139724623986OpenBenchmarking.orgMegahertz, More Is BetterFFTE 7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCore i7 1065G7Ryzen 5 4500U5K10K15K20K25KSE +/- 865.95, N = 15SE +/- 121.01, N = 921665.3922192.971. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
MinAvgMaxCore i7 1065G7120120503848Ryzen 5 4500U139724623986OpenBenchmarking.orgMegahertz, More Is BetterFFTE 7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U44.868.976.6Core i7 1065G749.065.297.0OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.315.753.4OpenBenchmarking.orgWatts, Fewer Is BetterFFTE 7.0CPU Power Consumption Monitor15304560751. Core i7 1065G7: Approximate power consumption of 92 Joules per run.

FLAC Audio Encoding

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

MinAvgMaxCore i7 1065G7106530623901Ryzen 5 4500U139731023986OpenBenchmarking.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 FLACCore i7 1065G7Ryzen 5 4500U3691215SE +/- 0.229, N = 20SE +/- 0.012, N = 59.3718.6141. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm
MinAvgMaxCore i7 1065G7106530623901Ryzen 5 4500U139731023986OpenBenchmarking.orgMegahertz, More Is BetterFLAC Audio Encoding 1.3.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U66.979.187.8Core i7 1065G751.074.795.0OpenBenchmarking.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 Monitor5101520251. Core i7 1065G7: Approximate power consumption of 122 Joules per run.

dav1d

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

MinAvgMaxCore i7 1065G7122030463900Ryzen 5 4500U139736033986OpenBenchmarking.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 1080pRyzen 5 4500UCore i7 1065G760120180240300SE +/- 0.85, N = 3SE +/- 4.30, N = 14238.68265.01MIN: 205.75 / MAX: 256.36MIN: 212.22 / MAX: 351.141. (CC) gcc options: -pthread
MinAvgMaxCore i7 1065G7122030463900Ryzen 5 4500U139736033986OpenBenchmarking.orgMegahertz, More Is Betterdav1d 0.7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G748.077.897.0Ryzen 5 4500U46.973.987.5OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.249.0OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.7.0CPU Power Consumption Monitor14284256701. Core i7 1065G7: Approximate power consumption of 576 Joules per run.

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-onlyCore i7 1065G7Ryzen 5 4500U246810SE +/- 0.130, N = 15SE +/- 0.010, N = 68.0316.420
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 Monitor12243648601. Core i7 1065G7: Approximate power consumption of 189 Joules per run.

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-onlyCore i7 1065G7Ryzen 5 4500U48121620SE +/- 0.33, N = 12SE +/- 0.10, N = 317.0216.84
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 Monitor14284256701. Core i7 1065G7: Approximate power consumption of 318 Joules per run.

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.