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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Audio Encoding 2 Tests
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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-v2Ryzen 5 4500UCore i7 1065G73691215SE +/- 0.03, N = 3SE +/- 0.35, N = 34.1310.66MIN: 3.8 / MAX: 5.21MIN: 10.08 / MAX: 12.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 5 4500UCore i7 1065G7120240360480600SE +/- 5.46, N = 3SE +/- 4.18, N = 35762801. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139730243724Core i7 1065G7120122063500OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G752.068.097.0Ryzen 5 4500U63.192.4100.4OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.648.5OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption 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-v1-1.0Ryzen 5 4500UCore i7 1065G73691215SE +/- 0.029, N = 3SE +/- 0.013, N = 34.8319.433MIN: 4.3 / MAX: 21.97MIN: 8.89 / MAX: 15.491. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

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

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ryzen 5 4500UCore i7 1065G72M4M6M8M10MSE +/- 21501.76, N = 3SE +/- 21082.23, N = 343322908303800
MinAvgMaxRyzen 5 4500U139730403478Core i7 1065G7130024183502OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G754.070.795.0Ryzen 5 4500U66.893.197.4OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.240.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor11223344551. Core i7 1065G7: Approximate power consumption of 2338 Joules per run.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ryzen 5 4500UCore i7 1065G72M4M6M8M10MSE +/- 22097.79, N = 3SE +/- 16982.47, N = 347939139170150
MinAvgMaxRyzen 5 4500U139730283567Core i7 1065G7125424173501OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.994.0Ryzen 5 4500U66.994.3100.1OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.240.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption 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: EnhancedRyzen 5 4500UCore i7 1065G720406080100SE +/- 1.00, N = 3SE +/- 0.75, N = 4109571. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139730913616Core i7 1065G7117624063500OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.068.792.0Ryzen 5 4500U65.689.3100.5OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.343.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption 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 FloatRyzen 5 4500UCore i7 1065G790K180K270K360K450KSE +/- 2082.31, N = 3SE +/- 5701.34, N = 3221797422984
MinAvgMaxRyzen 5 4500U139730173569Core i7 1065G7125224443503OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.695.0Ryzen 5 4500U65.691.996.5OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.716.541.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption 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: resnet50Ryzen 5 4500UCore i7 1065G7816243240SE +/- 0.01, N = 3SE +/- 0.02, N = 319.0235.82MIN: 18.55 / MAX: 20.08MIN: 35.58 / MAX: 36.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 5 4500UCore i7 1065G7130K260K390K520K650KSE +/- 3146.34, N = 3SE +/- 8228.71, N = 3334171626064
MinAvgMaxRyzen 5 4500U139730313554Core i7 1065G7120124343501OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.896.0Ryzen 5 4500U67.393.699.6OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.541.1OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor11223344551. Core i7 1065G7: Approximate power consumption of 928 Joules per run.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 5 4500UCore i7 1065G790K180K270K360K450KSE +/- 2233.04, N = 3SE +/- 5726.85, N = 3226773421963
MinAvgMaxRyzen 5 4500U139730343574Core i7 1065G7125725073500OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.992.0Ryzen 5 4500U66.492.397.8OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.516.539.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption 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-v3Ryzen 5 4500UCore i7 1065G73691215SE +/- 0.03, N = 3SE +/- 0.36, N = 36.3411.73MIN: 5.92 / MAX: 23.58MIN: 10.88 / MAX: 14.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

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

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

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenRyzen 5 4500UCore i7 1065G71632486480SE +/- 1.15, N = 3SE +/- 0.67, N = 372411. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139730433652Core i7 1065G7124322493500OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G752.069.298.0Ryzen 5 4500U49.986.696.6OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.749.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption 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 MobileRyzen 5 4500UCore i7 1065G7100K200K300K400K500KSE +/- 909.74, N = 3SE +/- 6073.35, N = 3261175455216
MinAvgMaxRyzen 5 4500U139730983974Core i7 1065G7130124013501OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.070.396.0Ryzen 5 4500U67.494.2101.5OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.543.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption 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: ThoroughRyzen 5 4500UCore i7 1065G720406080100SE +/- 0.75, N = 3SE +/- 0.77, N = 359.08100.051. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxRyzen 5 4500U139731073985Core i7 1065G7120122973901OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.069.599.0Ryzen 5 4500U55.587.795.3OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.616.251.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption 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: SwirlRyzen 5 4500UCore i7 1065G750100150200250SE +/- 2.19, N = 3SE +/- 2.08, N = 32471481. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139731313671Core i7 1065G7119621343500OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G754.068.2100.0Ryzen 5 4500U64.389.096.6OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.816.352.7OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption 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 MaterialRyzen 5 4500UCore i7 1065G72004006008001000523.47860.34
MinAvgMaxRyzen 5 4500U139729483677Core i7 1065G7130221273500OpenBenchmarking.orgMegahertz, More Is BetterAppleseed 2.0 BetaCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
OpenBenchmarking.orgCelsius, Fewer Is BetterAppleseed 2.0 BetaCPU Temperature MonitorCore i7 1065G7Ryzen 5 4500U20406080100Min: 52 / Avg: 67.29 / Max: 99Min: 65.75 / Avg: 93.88 / Max: 99.25
OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption MonitorCore i7 1065G71122334455Min: 0.42 / Avg: 16.09 / Max: 53.31

GLmark2

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

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

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ryzen 5 4500UCore i7 1065G71632486480SE +/- 0.23, N = 3SE +/- 0.56, N = 344.5872.37MIN: 41.67 / MAX: 82.43MIN: 69.84 / MAX: 95.031. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
MinAvgMaxRyzen 5 4500U139730483815Core i7 1065G7124621193895OpenBenchmarking.orgMegahertz, More Is BetterMobile Neural Network 2020-09-17CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.067.799.0Ryzen 5 4500U61.891.496.8OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.616.153.3OpenBenchmarking.orgWatts, Fewer Is BetterMobile Neural Network 2020-09-17CPU Power Consumption 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 PrismRyzen 5 4500UCore i7 1065G70.18450.3690.55350.7380.9225SE +/- 0.01, N = 3SE +/- 0.00, N = 100.820.51MIN: 0.78 / MAX: 0.93MIN: 0.46 / MAX: 0.83
MinAvgMaxRyzen 5 4500U139730163971Core i7 1065G7124921133894OpenBenchmarking.orgMegahertz, More Is BetterLuxCoreRender 2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.067.3100.0Ryzen 5 4500U62.088.495.6OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.153.7OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.3CPU Power Consumption 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-GaussianRyzen 5 4500UCore i7 1065G7306090120150SE +/- 1.20, N = 3SE +/- 1.00, N = 3125781. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139732483985Core i7 1065G7110122683501OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.068.799.0Ryzen 5 4500U68.991.999.1OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.548.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption 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 MetricRyzen 5 4500UCore i7 1065G711K22K33K44K55K50866318121. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm
MinAvgMaxRyzen 5 4500U139729753964Core i7 1065G7125220733389OpenBenchmarking.orgMegahertz, More Is BetterBRL-CAD 7.30.8CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.068.4100.0Ryzen 5 4500U66.891.998.1OpenBenchmarking.orgCelsius, Fewer Is BetterBRL-CAD 7.30.8CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.254.1OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.30.8CPU Power Consumption Monitor1530456075

NCNN

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

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

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRyzen 5 4500UCore i7 1065G70.16430.32860.49290.65720.8215SE +/- 0.01, N = 3SE +/- 0.00, N = 80.730.46MIN: 0.7 / MAX: 0.8MIN: 0.42 / MAX: 0.69
MinAvgMaxRyzen 5 4500U139730803984Core i7 1065G7120221353901OpenBenchmarking.orgMegahertz, More Is BetterLuxCoreRender 2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.067.098.0Ryzen 5 4500U60.083.294.9OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.153.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.3CPU Power Consumption 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: 2Ryzen 5 4500UCore i7 1065G7306090120150SE +/- 0.59, N = 3SE +/- 0.85, N = 396.77153.451. (CXX) g++ options: -O3 -fPIC
MinAvgMaxRyzen 5 4500U139731753984Core i7 1065G7120223013900OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.7.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.071.3100.0Ryzen 5 4500U64.389.896.9OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.153.4OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.7.3CPU Power Consumption 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: MediumRyzen 5 4500UCore i7 1065G73691215SE +/- 0.02, N = 4SE +/- 0.20, N = 128.4413.201. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxRyzen 5 4500U139730453987Core i7 1065G7119425543901OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.073.799.0Ryzen 5 4500U55.576.888.6OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.551.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 2.0CPU Power Consumption 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: 0Ryzen 5 4500UCore i7 1065G760120180240300SE +/- 0.58, N = 3SE +/- 1.15, N = 3165.97258.151. (CXX) g++ options: -O3 -fPIC
MinAvgMaxRyzen 5 4500U139731533988Core i7 1065G7120223043900OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.7.3CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.071.2100.0Ryzen 5 4500U66.690.8100.4OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.154.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.7.3CPU Power Consumption 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-OnlyRyzen 5 4500UCore i7 1065G7130260390520650SE +/- 3.78, N = 3SE +/- 1.26, N = 3399.89619.67
MinAvgMaxRyzen 5 4500U139730363746Core i7 1065G7125221083729OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.90CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.90CPU Temperature MonitorCore i7 1065G7Ryzen 5 4500U20406080100Min: 54 / Avg: 68.6 / Max: 100Min: 53 / Avg: 92.17 / Max: 96.13
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.90CPU Power Consumption MonitorCore i7 1065G71122334455Min: 0.49 / Avg: 16.06 / Max: 54.121. 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 OnlyRyzen 5 4500UCore i7 1065G7150300450600750SE +/- 3.01, N = 3SE +/- 3.97, N = 10683.98442.46MIN: 480.01 / MAX: 857.17MIN: 299.75 / MAX: 631.091. mpv 0.32.0
MinAvgMaxRyzen 5 4500U139736363987Core i7 1065G7120630483899OpenBenchmarking.orgMegahertz, More Is BetterMPVCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G747.074.192.0Ryzen 5 4500U51.179.989.1OpenBenchmarking.orgCelsius, Fewer Is BetterMPVCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.148.7OpenBenchmarking.orgWatts, Fewer Is BetterMPVCPU Power Consumption 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: vgg16Ryzen 5 4500UCore i7 1065G720406080100SE +/- 0.27, N = 3SE +/- 0.03, N = 362.0495.90MIN: 60.99 / MAX: 81.46MIN: 93.54 / MAX: 96.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceRyzen 5 4500UCore i7 1065G72004006008001000SE +/- 6.08, N = 3SE +/- 7.51, N = 38065221. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139736133986Core i7 1065G7130025383891OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.071.099.0Ryzen 5 4500U53.590.999.9OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.538.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption 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 SceneRyzen 5 4500UCore i7 1065G7120240360480600SE +/- 1.96, N = 3SE +/- 0.69, N = 3349.33538.411. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
MinAvgMaxRyzen 5 4500U139729823983Core i7 1065G7130021073796OpenBenchmarking.orgMegahertz, More Is BetterYafaRay 3.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1CPU Temperature MonitorCore i7 1065G7Ryzen 5 4500U20406080100Min: 54 / Avg: 68.41 / Max: 100Min: 66 / Avg: 93.02 / Max: 95.63
OpenBenchmarking.orgWatts, Fewer Is BetterYafaRay 3.4.1CPU Power Consumption MonitorCore i7 1065G71122334455Min: 0.41 / Avg: 16.08 / Max: 53.521. 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: vgg16Core i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.02, N = 3SE +/- 0.42, N = 371.56109.85MIN: 70.12 / MAX: 87.59MIN: 107.76 / MAX: 158.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ParaView

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

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

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Many Spheres - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G72004006008001000SE +/- 7.76, N = 3SE +/- 1.93, N = 3878.80577.24
MinAvgMaxRyzen 5 4500U139731893987Core i7 1065G7100128863898OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U48.566.878.8Core i7 1065G750.074.0100.0OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.514.922.8OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption 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 OnlyRyzen 5 4500UCore i7 1065G760120180240300SE +/- 0.39, N = 3SE +/- 1.14, N = 3259.13170.38MIN: 193.55 / MAX: 324.33MIN: 115.15 / MAX: 266.451. mpv 0.32.0
MinAvgMaxRyzen 5 4500U139736303986Core i7 1065G7120026793898OpenBenchmarking.orgMegahertz, More Is BetterMPVCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G752.072.896.0Ryzen 5 4500U53.085.899.3OpenBenchmarking.orgCelsius, Fewer Is BetterMPVCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.145.9OpenBenchmarking.orgWatts, Fewer Is BetterMPVCPU Power Consumption 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 CompileRyzen 5 4500UCore i7 1065G74080120160200SE +/- 0.86, N = 3SE +/- 0.26, N = 3121.31180.69
MinAvgMaxRyzen 5 4500U139730773980Core i7 1065G7127421873894OpenBenchmarking.orgMegahertz, More Is BetterTimed FFmpeg Compilation 4.2.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G753.069.098.0Ryzen 5 4500U67.691.595.6OpenBenchmarking.orgCelsius, Fewer Is BetterTimed FFmpeg Compilation 4.2.2CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.052.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.2.2CPU Power Consumption 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 TesterRyzen 5 4500UCore i7 1065G72004006008001000532.12783.82
MinAvgMaxRyzen 5 4500U139730153980Core i7 1065G7124721773773OpenBenchmarking.orgMegahertz, More Is BetterAppleseed 2.0 BetaCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
OpenBenchmarking.orgCelsius, Fewer Is BetterAppleseed 2.0 BetaCPU Temperature MonitorCore i7 1065G7Ryzen 5 4500U20406080100Min: 53 / Avg: 67.58 / Max: 99Min: 66.88 / Avg: 91.87 / Max: 98.25
OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption MonitorCore i7 1065G71122334455Min: 0.52 / Avg: 16.06 / Max: 53.05

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateCore i7 1065G7Ryzen 5 4500U2004006008001000SE +/- 2.52, N = 3SE +/- 3.76, N = 38896061. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
MinAvgMaxRyzen 5 4500U139738033988Core i7 1065G7130037503901OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U58.665.271.5Core i7 1065G753.083.290.0OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.415.618.6OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption 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 DocumentRyzen 5 4500UCore i7 1065G71530456075SE +/- 0.12, N = 3SE +/- 0.66, N = 344.6065.28
MinAvgMaxCore i7 1065G7120023633899OpenBenchmarking.orgMegahertz, More Is BetterOCRMyPDF 9.6.0+dfsgCPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000
MinAvgMaxCore i7 1065G753.070.899.0OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 9.6.0+dfsgCPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.416.353.3OpenBenchmarking.orgWatts, Fewer Is BetterOCRMyPDF 9.6.0+dfsgCPU Power Consumption 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 SecondRyzen 5 4500UCore i7 1065G740K80K120K160K200KSE +/- 1080.56, N = 3SE +/- 1210.76, N = 8167307.98114477.281. (CC) gcc options: -O2 -lrt" -lrt
MinAvgMaxRyzen 5 4500U139732413986Core i7 1065G7124424793900OpenBenchmarking.orgMegahertz, More Is BetterCoremark 1.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxCore i7 1065G754.071.194.0Ryzen 5 4500U66.885.897.0OpenBenchmarking.orgCelsius, Fewer Is BetterCoremark 1.0CPU Temperature Monitor20406080100
MinAvgMaxCore i7 1065G70.316.045.4OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption 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: FirefoxCore i7 1065G7Ryzen 5 4500U20406080100SE +/- 0.62, N = 3SE +/- 0.24, N = 386.759.51. firefox 81.0
MinAvgMaxCore i7 1065G7110131633893Ryzen 5 4500U139730123988OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500
MinAvgMaxRyzen 5 4500U42.058.468.1Core i7 1065G749.068.991.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100