AMD Ryzen 4500U/4700U vs. Intel Linux Laptop Benchmarks

AMD Ryzen 5 4500U versus Ice Lake and other Intel laptops on Ubuntu Linux performance for a future article by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010078-FI-LAPTOP77386
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Ryzen 5 4500U
October 02 2020
  9 Hours, 22 Minutes
Core i7 1065G7
October 03 2020
  11 Hours, 6 Minutes
Ryzen 7 4700U
October 03 2020
  15 Hours, 29 Minutes
Core i7 8550U
October 05 2020
  13 Hours, 44 Minutes
Core i7 8565U
October 06 2020
  12 Hours, 32 Minutes
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  12 Hours, 26 Minutes

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AMD Ryzen 4500U/4700U vs. Intel Linux Laptop BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565UAMD 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 9.3.01920x1200AMD Ryzen 7 4700U @ 2.00GHz (8 Cores)LENOVO LNVNB161216 (DTCN18WWV1.04 BIOS)AMD Renoir Root Complex512GB SAMSUNG MZALQ512HALU-000L2 + 4001GB 004-2CV104AMD Renoir 512MB (1600/400MHz)AMD Device 1637Intel Wi-Fi 6 AX2004.6 Mesa 20.3.0-devel (git-3b3a3af 2020-10-03 focal-oibaf-ppa) (LLVM 10.0.1)1920x1080Intel Core i7-8550U @ 4.00GHz (4 Cores / 8 Threads)Dell 0H0VG3 (1.10.0 BIOS)Intel Xeon E3-1200 v6/7th8GBPM961 NVMe SAMSUNG 256GBIntel UHD 620 3GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11ac5.9.0-050900rc7daily20201004-generic (x86_64) 202010034.6 Mesa 20.3.0-devel (git-961a8d7 2020-10-05 focal-oibaf-ppa)Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)Dell 0KTW76 (1.0.0 BIOS)Intel Cannon Point-LP16GBPC401 NVMe SK hynix 256GB4.6 Mesa 20.3.0-devel (git-2b977ad 2020-10-06 focal-oibaf-ppa)OpenBenchmarking.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: 0x78- Ryzen 7 4700U: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8600102- Core i7 8550U: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6- Core i7 8565U: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6Python 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 7 4700U: 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 8550U: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected - Core i7 8565U: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565ULogarithmic Result OverviewPhoronix Test Suitectx_clockCaffeGLmark2TensorFlow LiteParaViewLAMMPS Molecular Dynamics SimulatorMobile Neural NetworkGraphicsMagickBRL-CADASTC EncoderDarktableUnigine SuperpositionYafaRayIntel Open Image DenoiseBasemark GPUCoremarkOCRMyPDFLuxCoreRenderTimed FFmpeg CompilationTimed Linux Kernel CompilationNCNNLibRawBuild2OpenVKLZstd CompressionSVT-AV1FFTE7-Zip Compressionlibavif avifencRawTherapeeEmbreeDeepSpeechx265Hugindav1dRNNoiseHimeno BenchmarkGNU Octave BenchmarkSQLite SpeedtestNeatBenchTNNSeleniumWireGuard + Linux Networking Stack Stress TestPyBenchLibreOfficeTesseract OCRInkscapeLAME MP3 EncodingGEGLPerl BenchmarksDolfynFLAC Audio EncodingWebP Image EncodeGiteSpeak-NG Speech Engine

AMD Ryzen 4500U/4700U vs. Intel Linux Laptop Benchmarksctx-clock: Context Switch Timencnn: Vulkan GPU - shufflenet-v2glmark2: 1920 x 1080ncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - resnet18darktable: Masskrug - CPU-onlytensorflow-lite: Inception V4tensorflow-lite: Inception ResNet V2mnn: resnet-v2-50tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: SqueezeNetncnn: Vulkan GPU - vgg16graphics-magick: Resizingmnn: mobilenet-v1-1.0paraview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080mnn: inception-v3graphics-magick: Enhancedbrl-cad: VGR Performance Metricastcenc: Thoroughncnn: Vulkan GPU - mnasnetunigine-super: 1920 x 1080 - Fullscreen - Low - OpenGLbasemark: Vulkan - 1920 x 1080 - Highncnn: Vulkan GPU - googlenetmnn: SqueezeNetV1.0yafaray: Total Time For Sample Sceneoidn: Memorialgraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spacecoremark: CoreMark Size 666 - Iterations Per Secondbasemark: Vulkan - 1920 x 1080 - Mediumavifenc: 2ncnn: Vulkan GPU - yolov4-tinycaffe: AlexNet - CPU - 200luxcorerender: Rainbow Colors and Prismluxcorerender: DLSCbuild-ffmpeg: Time To Compilebuild-linux-kernel: Time To Compilencnn: Vulkan GPU - alexnetcaffe: GoogleNet - CPU - 200libraw: Post-Processing Benchmarkbuild2: Time To Compileai-benchmark: Device Inference Scoreopenvkl: vklBenchmarkcompress-zstd: 19svt-av1: Enc Mode 8 - 1080pncnn: CPU - vgg16compress-7zip: Compress Speed Testncnn: Vulkan GPU - mobilenetembree: Pathtracer - Crownncnn: CPU - alexnetrawtherapee: Total Benchmark Timeavifenc: 8avifenc: 10deepspeech: CPUx265: H.265 1080p Video Encodingai-benchmark: Device AI Scorehugin: Panorama Photo Assistant + Stitching Timedav1d: Summer Nature 4Kselenium: StyleBench - Firefoxtnn: CPU - MobileNet v2selenium: WASM collisionDetection - Firefoxrnnoise: himeno: Poisson Pressure Solverselenium: Speedometer - Firefoxoctave-benchmark: sqlite-speedtest: Timed Time - Size 1,000ncnn: CPU - resnet50embree: Pathtracer ISPC - Crownneatbench: CPUselenium: CanvasMark - Firefoxtnn: CPU - SqueezeNet v1.1ncnn: Vulkan GPU - efficientnet-b0gegl: Scaleselenium: Jetstream 2 - Firefoxncnn: Vulkan GPU - squeezenetselenium: Kraken - Firefoxselenium: ARES-6 - Firefoxwebp: Quality 100, Lossless, Highest Compressionselenium: WASM imageConvolute - Firefoxwireguard: numpy: pybench: Total For Average Test Timeslibreoffice: 20 Documents To PDFai-benchmark: Device Training Scoreselenium: PSPDFKit WASM - Firefoxtesseract-ocr: Time To OCR 7 Imagesinkscape: SVG Files To PNGperl-benchmark: Pod2htmlselenium: Octane - Firefoxselenium: Jetstream - Firefoxencode-mp3: WAV To MP3gegl: Cropperl-benchmark: Interpreterwebp: Quality 100, Losslessgegl: Rotate 90 Degreesgegl: Antialiasdolfyn: Computational Fluid Dynamicswebp: Quality 100gegl: Color Enhancegegl: Wavelet Blurgegl: Reflectwebp: Quality 100, Highest Compressiongit: Time To Complete Common Git Commandsespeak: Text-To-Speech Synthesisselenium: Basemark - Firefoxparaview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080ocrmypdf: Processing 60 Page PDF Documentncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: CPU - yolov4-tinyncnn: CPU - resnet18ncnn: CPU - mobilenetncnn: CPU - squeezenetlammps: Rhodopsin Proteingraphics-magick: Sharpenffte: N=256, 3D Complex FFT Routineencode-flac: WAV To FLACdarktable: Server Rack - CPU-onlydarktable: Server Room - CPU-onlydarktable: Boat - CPU-onlyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1184.13166119.028.839.8174793913433229032.10626117522179722677333417162.045764.831942.19158.8944.5811095086659.085.2022.622.5911.748.745349.3254.52125806167307.980014105.9896.76831.241131170.820.73121.308200.77214.4929540028.44243.86067659.6716.010.613109.852291218.123.804822.8687.3886.9956.40573.5101430.56127965.38177.5559.5260.427400.719.7724155.74197163.518.94474.75249.953.62948.159794256.23813.186.49884.03724.72892.347.6345.92629.3276.870282.209947.976603176825.61828.0350.1283827130445176.337.8139.0690.0010582221.52544.13141.87818.7722.42461.56966.10533.0407.56855.61433.140449.51536.71951.5044.6046.3448.0627.7928.3825.314.0417222192.9702472238.6140.2676.42016.8388510.66101535.8217.1111.2919170150830380059.02745521642298442196362606495.902809.433825.22451.5872.3735731812100.0510.8319.620.2118.6812.325538.4145.0578522114477.279309101.98153.44942.061299880.510.46180.686285.25116.5834256425.21352.19246577.1121.59.14071.561953421.852.962820.57114.7738.4297.41166.5882522.14103979.16066.2886.7336.738417.125.7644496.69072588.676.78159.15752.543.286910.211926321.96616.787.88495.07321.79830.143.3348.63330.5328.947361.158376.653574150923.51922.7130.1083432035275202.577.9579.9030.0009251218.67545.93743.07318.6612.49462.40766.37533.0997.48852.39730.976549.84421.00340.4065.27811.7343.7522.5933.2028.162.6414121665.3919288489.3710.2408.03117.0151003.88169716.677.908.1003661980331190733.15718913717219017499625728857.857144.886969.12760.5740.2011356969247.214.8026.024.2810.878.041266.6514.72149883208366.268155112.7580.30529.491054630.990.89100.741161.49913.4927441540.59203.26873073.3118.914.063111.312878016.224.843521.5782.8756.1475.46576.8364031.86136760.28688.7663.9250.251384.318.8694385.90506462.18.93268.20041.284.66927.699971245.49212.406.44384.09521.19874.047.0244.95628.2253.876284.659498.097637175124.76027.9790.1228448130268183.277.4288.9540.0011056621.59242.36240.66217.9402.32160.16364.84032.3357.23453.56030.968491.30598.66757.4438.7275.8943.6123.2126.6024.115.7889425470.6282118558.7860.2465.47815.71870115.6852351.9824.1124.64410352667935279381.031529295476995482232700649155.2027311.754372.63023.2994.0665729700112.2710.9811.310.7323.9015.329581.5322.3671425103657.14252654.41161.39959.101893550.500.45198.421314.88926.0247562121.84370.28743.8112.48.174123.561703027.352.966633.41129.6319.5388.41099.9906921.6189.01861.6868.3363.522558.227.1533143.88560567.179.67784.40558.723.38967.198544336.63016.928.67869.86928.811094.656.9658.74736.6323.844302.4310688.386189329.07927.3010.1333075128693164.939.11610.9710.0010649819.16650.75048.17920.8252.66668.79173.62836.2268.08857.72931.333385.88206.80919.8479.62615.1953.2930.4740.3832.852.1142715064.7248063679.5750.32421.62231.23632515.7755851.6523.8813.38710502233948247791.798538232484620488592709065152.8227012.738381.47123.84103.2495629035112.2111.0611.711.1523.6917.661578.0762.3372444100330.66225357.60162.22158.382092880.500.45199.144312.65325.7251617422.10372.88841249.5014.58.119112.081778626.622.908832.32126.3479.1488.11691.8388221.3991987.18360.8176.0350.876537.726.0613348.17792975.88.82568.57457.673.36617.959895321.53016.638.76979.41128.31975.952.3056.56435.1319.88010117.940507185427.64124.9830.1256578831367180.278.64610.9770.0009193417.97550.09047.61220.7442.53066.83671.84235.4737.57255.28833.310407.56212.22220.3679.16613.9052.2929.8339.6533.572.1132715397.3539549389.6170.2869.63223.275OpenBenchmarking.org

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U150300450600750SE +/- 0.27, N = 13SE +/- 0.65, N = 9SE +/- 0.55, N = 1111885100701325
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U120240360480600Min: 84 / Avg: 85.38 / Max: 86Min: 700 / Avg: 701.44 / Max: 706Min: 321 / Avg: 325.09 / Max: 326

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620SE +/- 0.03, N = 3SE +/- 0.35, N = 3SE +/- 0.03, N = 15SE +/- 0.19, N = 3SE +/- 0.07, N = 34.1310.663.8815.6815.77MIN: 3.8 / MAX: 5.21MIN: 10.08 / MAX: 12.18MIN: 3.39 / MAX: 5.24MIN: 13.61 / MAX: 16.89MIN: 13.17 / MAX: 16.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620Min: 4.09 / Avg: 4.13 / Max: 4.18Min: 10.29 / Avg: 10.66 / Max: 11.36Min: 3.61 / Avg: 3.88 / Max: 4Min: 15.33 / Avg: 15.68 / Max: 16Min: 15.69 / Avg: 15.77 / Max: 15.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U400800120016002000166110151697523558

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1224364860SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 15SE +/- 0.05, N = 3SE +/- 0.03, N = 319.0235.8216.6751.9851.65MIN: 18.55 / MAX: 20.08MIN: 35.58 / MAX: 36.17MIN: 15.97 / MAX: 18.27MIN: 50.91 / MAX: 53MIN: 50.49 / MAX: 52.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1020304050Min: 19 / Avg: 19.02 / Max: 19.03Min: 35.77 / Avg: 35.82 / Max: 35.85Min: 16.53 / Avg: 16.67 / Max: 16.8Min: 51.89 / Avg: 51.98 / Max: 52.04Min: 51.59 / Avg: 51.65 / Max: 51.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 15SE +/- 0.03, N = 3SE +/- 0.01, N = 38.8317.117.9024.1123.88MIN: 8.54 / MAX: 10.22MIN: 16.81 / MAX: 17.39MIN: 7.44 / MAX: 9.41MIN: 23.5 / MAX: 24.39MIN: 23.34 / MAX: 24.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 8.81 / Avg: 8.83 / Max: 8.85Min: 17.05 / Avg: 17.11 / Max: 17.17Min: 7.84 / Avg: 7.9 / Max: 7.97Min: 24.05 / Avg: 24.11 / Max: 24.16Min: 23.86 / Avg: 23.88 / Max: 23.91. (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: Masskrug - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430SE +/- 0.015, N = 5SE +/- 0.167, N = 15SE +/- 0.071, N = 5SE +/- 0.325, N = 5SE +/- 0.091, N = 159.81711.2918.10024.64413.387
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 9.78 / Avg: 9.82 / Max: 9.86Min: 8.96 / Avg: 11.29 / Max: 11.56Min: 7.98 / Avg: 8.1 / Max: 8.37Min: 23.35 / Avg: 24.64 / Max: 25.02Min: 12.16 / Avg: 13.39 / Max: 13.58

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 V4Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2M4M6M8M10MSE +/- 22097.79, N = 3SE +/- 16982.47, N = 3SE +/- 5339.55, N = 3SE +/- 14845.46, N = 3SE +/- 2531.36, N = 34793913917015036619801035266710502233
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2M4M6M8M10MMin: 4750340 / Avg: 4793913.33 / Max: 4822100Min: 9137230 / Avg: 9170150 / Max: 9193850Min: 3651830 / Avg: 3661980 / Max: 3669930Min: 10323100 / Avg: 10352666.67 / Max: 10369800Min: 10498900 / Avg: 10502233.33 / Max: 10507200

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2M4M6M8M10MSE +/- 21501.76, N = 3SE +/- 21082.23, N = 3SE +/- 2809.26, N = 3SE +/- 19890.60, N = 3SE +/- 2753.67, N = 343322908303800331190793527939482477
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1.6M3.2M4.8M6.4M8MMin: 4289370 / Avg: 4332290 / Max: 4356070Min: 8261720 / Avg: 8303800 / Max: 8327150Min: 3306290 / Avg: 3311906.67 / Max: 3314840Min: 9313140 / Avg: 9352793.33 / Max: 9375380Min: 9477230 / Avg: 9482476.67 / Max: 9486550

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 12SE +/- 0.04, N = 332.1159.0333.1681.0391.80MIN: 29.79 / MAX: 51.51MIN: 56.05 / MAX: 82.31MIN: 32.31 / MAX: 98.74MIN: 73.75 / MAX: 143.35MIN: 87.72 / MAX: 176.731. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 31.71 / Avg: 32.11 / Max: 32.4Min: 58.32 / Avg: 59.03 / Max: 59.39Min: 33.04 / Avg: 33.16 / Max: 33.24Min: 79.05 / Avg: 81.03 / Max: 81.79Min: 91.73 / Avg: 91.8 / Max: 91.871. (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

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U120K240K360K480K600KSE +/- 909.74, N = 3SE +/- 6073.35, N = 3SE +/- 1038.73, N = 3SE +/- 7612.95, N = 3SE +/- 6872.55, N = 3261175455216189137529295538232
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U90K180K270K360K450KMin: 259585 / Avg: 261175.33 / Max: 262736Min: 443073 / Avg: 455216.33 / Max: 461536Min: 187099 / Avg: 189137.33 / Max: 190504Min: 514446 / Avg: 529294.67 / Max: 539636Min: 524488 / Avg: 538232 / Max: 545254

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U100K200K300K400K500KSE +/- 2082.31, N = 3SE +/- 5701.34, N = 3SE +/- 604.62, N = 3SE +/- 5963.72, N = 3SE +/- 5979.89, N = 3221797422984172190476995484620
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U80K160K240K320K400KMin: 217646 / Avg: 221796.67 / Max: 224167Min: 411581 / Avg: 422983.67 / Max: 428694Min: 170982 / Avg: 172189.67 / Max: 172847Min: 465076 / Avg: 476995.33 / Max: 483336Min: 472660 / Avg: 484619.67 / Max: 490644

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U100K200K300K400K500KSE +/- 2233.04, N = 3SE +/- 5726.85, N = 3SE +/- 132.95, N = 3SE +/- 6072.50, N = 3SE +/- 6021.80, N = 3226773421963174996482232488592
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U80K160K240K320K400KMin: 222367 / Avg: 226773.33 / Max: 229607Min: 410509 / Avg: 421962.67 / Max: 427713Min: 174749 / Avg: 174995.67 / Max: 175205Min: 470087 / Avg: 482232 / Max: 488315Min: 476549 / Avg: 488592 / Max: 494718

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U150K300K450K600K750KSE +/- 3146.34, N = 3SE +/- 8228.71, N = 3SE +/- 452.41, N = 3SE +/- 9441.41, N = 3SE +/- 8757.43, N = 3334171626064257288700649709065
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U120K240K360K480K600KMin: 327947 / Avg: 334171 / Max: 338086Min: 609607 / Avg: 626063.67 / Max: 634429Min: 256555 / Avg: 257288.33 / Max: 258114Min: 681783 / Avg: 700649 / Max: 710772Min: 691550 / Avg: 709064.67 / Max: 717893

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150SE +/- 0.27, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 15SE +/- 0.01, N = 3SE +/- 0.27, N = 362.0495.9057.85155.20152.82MIN: 60.99 / MAX: 81.46MIN: 93.54 / MAX: 96.72MIN: 56.85 / MAX: 65.57MIN: 154.17 / MAX: 157.14MIN: 151.45 / MAX: 154.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150Min: 61.5 / Avg: 62.04 / Max: 62.35Min: 95.85 / Avg: 95.9 / Max: 95.93Min: 57.49 / Avg: 57.85 / Max: 58.45Min: 155.18 / Avg: 155.2 / Max: 155.22Min: 152.29 / Avg: 152.82 / Max: 153.11. (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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U150300450600750SE +/- 5.46, N = 3SE +/- 4.18, N = 3SE +/- 4.18, N = 3SE +/- 3.51, N = 3576280714273270-lwebp -lwebpmux -lbz2-lwebp -lwebpmux -lbz2-lbz21. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U130260390520650Min: 569 / Avg: 576.33 / Max: 587Min: 275 / Avg: 279.67 / Max: 288Min: 268 / Avg: 272.67 / Max: 281Min: 266 / Avg: 270 / Max: 2771. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -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: mobilenet-v1-1.0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215SE +/- 0.029, N = 3SE +/- 0.013, N = 3SE +/- 0.015, N = 3SE +/- 0.013, N = 12SE +/- 0.014, N = 34.8319.4334.88611.75412.738MIN: 4.3 / MAX: 21.97MIN: 8.89 / MAX: 15.49MIN: 4.75 / MAX: 19.13MIN: 11.1 / MAX: 49.42MIN: 12 / MAX: 55.11. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620Min: 4.78 / Avg: 4.83 / Max: 4.87Min: 9.41 / Avg: 9.43 / Max: 9.45Min: 4.86 / Avg: 4.89 / Max: 4.9Min: 11.69 / Avg: 11.75 / Max: 11.84Min: 12.71 / Avg: 12.74 / Max: 12.761. (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

ParaView

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

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2004006008001000SE +/- 9.64, N = 15SE +/- 6.12, N = 10SE +/- 2.97, N = 10SE +/- 0.57, N = 9SE +/- 2.34, N = 9942.19825.22969.13372.63381.47
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2004006008001000Min: 875.62 / Avg: 942.19 / Max: 982.59Min: 786.36 / Avg: 825.22 / Max: 848.01Min: 957.15 / Avg: 969.13 / Max: 980.95Min: 369.21 / Avg: 372.63 / Max: 374.54Min: 372.48 / Avg: 381.47 / Max: 393.5

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1428425670SE +/- 0.60, N = 15SE +/- 0.38, N = 10SE +/- 0.19, N = 10SE +/- 0.04, N = 9SE +/- 0.15, N = 958.8951.5860.5723.2923.84
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1224364860Min: 54.73 / Avg: 58.89 / Max: 61.41Min: 49.15 / Avg: 51.58 / Max: 53Min: 59.82 / Avg: 60.57 / Max: 61.31Min: 23.08 / Avg: 23.29 / Max: 23.41Min: 23.28 / Avg: 23.84 / Max: 24.59

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 0.23, N = 3SE +/- 0.56, N = 3SE +/- 0.55, N = 3SE +/- 0.31, N = 12SE +/- 0.46, N = 344.5872.3740.2094.07103.25MIN: 41.67 / MAX: 82.43MIN: 69.84 / MAX: 95.03MIN: 38.3 / MAX: 105.77MIN: 86.98 / MAX: 166.48MIN: 94.8 / MAX: 150.281. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 44.13 / Avg: 44.58 / Max: 44.85Min: 71.28 / Avg: 72.37 / Max: 73.15Min: 39.11 / Avg: 40.2 / Max: 40.76Min: 92.31 / Avg: 94.07 / Max: 95.31Min: 102.75 / Avg: 103.25 / Max: 104.171. (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: EnhancedRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150SE +/- 1.00, N = 3SE +/- 0.75, N = 4SE +/- 0.67, N = 3SE +/- 0.88, N = 3109571355756-lwebp -lwebpmux -lbz2-lwebp -lwebpmux -lbz2-lbz21. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150Min: 108 / Avg: 109 / Max: 111Min: 56 / Avg: 56.75 / Max: 59Min: 56 / Avg: 56.67 / Max: 58Min: 55 / Avg: 56.33 / Max: 581. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U15K30K45K60K75K5086631812696922970029035-lXi -luuid-lXi -luuid-luuid1. (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 -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -lm

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150SE +/- 0.75, N = 3SE +/- 0.77, N = 3SE +/- 0.60, N = 15SE +/- 0.68, N = 3SE +/- 0.76, N = 359.08100.0547.21112.27112.211. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 57.71 / Avg: 59.08 / Max: 60.29Min: 98.5 / Avg: 100.05 / Max: 100.9Min: 39.76 / Avg: 47.21 / Max: 50.71Min: 110.91 / Avg: 112.27 / Max: 112.97Min: 110.68 / Avg: 112.21 / Max: 113.031. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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: mnasnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 15SE +/- 0.08, N = 3SE +/- 0.03, N = 35.2010.834.8010.9811.06MIN: 4.9 / MAX: 11.7MIN: 10.5 / MAX: 14.28MIN: 4.4 / MAX: 6.08MIN: 10.41 / MAX: 14.8MIN: 10.43 / MAX: 14.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 5.18 / Avg: 5.2 / Max: 5.22Min: 10.79 / Avg: 10.83 / Max: 10.86Min: 4.61 / Avg: 4.8 / Max: 4.91Min: 10.82 / Avg: 10.98 / Max: 11.09Min: 11.01 / Avg: 11.06 / Max: 11.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Unigine Superposition

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

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 322.619.626.011.311.7MAX: 29.5MAX: 24.9MAX: 33.5MAX: 14.2MAX: 14.8
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 22.5 / Avg: 22.6 / Max: 22.7Min: 19.6 / Avg: 19.63 / Max: 19.7Min: 25.9 / Avg: 25.97 / Max: 26Min: 11.3 / Avg: 11.33 / Max: 11.4Min: 11.7 / Avg: 11.73 / Max: 11.8

Basemark GPU

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

OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: HighRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 322.5920.2124.2810.7311.15MIN: 13.48 / MAX: 37.86MIN: 11.15 / MAX: 32.94MIN: 17.88 / MAX: 42.18MIN: 8.39 / MAX: 18.35MIN: 8.76 / MAX: 18.39
OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: HighRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 22.55 / Avg: 22.59 / Max: 22.63Min: 20.19 / Avg: 20.21 / Max: 20.22Min: 24.24 / Avg: 24.28 / Max: 24.35Min: 10.72 / Avg: 10.73 / Max: 10.74Min: 11.15 / Avg: 11.15 / Max: 11.15

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 15SE +/- 0.11, N = 3SE +/- 0.02, N = 311.7418.6810.8723.9023.69MIN: 11.01 / MAX: 30MIN: 18.52 / MAX: 19.07MIN: 10.15 / MAX: 12.06MIN: 22.76 / MAX: 25.25MIN: 22.58 / MAX: 25.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 11.55 / Avg: 11.74 / Max: 11.9Min: 18.65 / Avg: 18.68 / Max: 18.71Min: 10.79 / Avg: 10.87 / Max: 11.01Min: 23.77 / Avg: 23.9 / Max: 24.11Min: 23.66 / Avg: 23.69 / Max: 23.711. (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: SqueezeNetV1.0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620SE +/- 0.039, N = 3SE +/- 0.087, N = 3SE +/- 0.064, N = 3SE +/- 0.197, N = 12SE +/- 0.116, N = 38.74512.3258.04115.32917.661MIN: 7.71 / MAX: 26.5MIN: 11.75 / MAX: 33.89MIN: 7.69 / MAX: 21.66MIN: 9.88 / MAX: 53.47MIN: 15.48 / MAX: 53.91. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620Min: 8.67 / Avg: 8.75 / Max: 8.79Min: 12.15 / Avg: 12.32 / Max: 12.43Min: 7.92 / Avg: 8.04 / Max: 8.12Min: 13.48 / Avg: 15.33 / Max: 15.76Min: 17.51 / Avg: 17.66 / Max: 17.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U130260390520650SE +/- 1.96, N = 3SE +/- 0.69, N = 3SE +/- 1.03, N = 3SE +/- 1.63, N = 3SE +/- 0.67, N = 3349.33538.41266.65581.53578.081. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U100200300400500Min: 345.83 / Avg: 349.32 / Max: 352.61Min: 537.08 / Avg: 538.41 / Max: 539.4Min: 264.67 / Avg: 266.65 / Max: 268.1Min: 578.86 / Avg: 581.53 / Max: 584.47Min: 576.96 / Avg: 578.08 / Max: 579.291. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1.13632.27263.40894.54525.6815SE +/- 0.03, N = 3SE +/- 0.06, N = 7SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.525.054.722.362.33
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810Min: 4.48 / Avg: 4.52 / Max: 4.57Min: 4.96 / Avg: 5.05 / Max: 5.38Min: 4.64 / Avg: 4.72 / Max: 4.79Min: 2.33 / Avg: 2.36 / Max: 2.4Min: 2.31 / Avg: 2.33 / Max: 2.37

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150SE +/- 1.20, N = 3SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 1.00, N = 3125781497172-lwebp -lwebpmux -lbz2-lwebp -lwebpmux -lbz2-lbz21. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150Min: 123 / Avg: 124.67 / Max: 127Min: 77 / Avg: 78 / Max: 80Min: 70 / Avg: 71 / Max: 73Min: 71 / Avg: 72 / Max: 741. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2004006008001000SE +/- 6.08, N = 3SE +/- 7.51, N = 3SE +/- 6.60, N = 15SE +/- 5.51, N = 3SE +/- 5.51, N = 3806522883425444-lwebp -lwebpmux -lbz2-lwebp -lwebpmux -lbz2-lbz21. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U150300450600750Min: 796 / Avg: 806 / Max: 817Min: 514 / Avg: 522 / Max: 537Min: 864 / Avg: 882.53 / Max: 967Min: 419 / Avg: 425 / Max: 436Min: 438 / Avg: 444 / Max: 4551. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U40K80K120K160K200KSE +/- 1080.56, N = 3SE +/- 1210.76, N = 8SE +/- 1035.33, N = 3SE +/- 1055.98, N = 13SE +/- 985.37, N = 13167307.98114477.28208366.27103657.14100330.661. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U40K80K120K160K200KMin: 165425.97 / Avg: 167307.98 / Max: 169168.96Min: 112990.36 / Avg: 114477.28 / Max: 122939.8Min: 206358.42 / Avg: 208366.27 / Max: 209808.55Min: 102037.56 / Avg: 103657.14 / Max: 116253.72Min: 98789.82 / Avg: 100330.66 / Max: 112044.821. (CC) gcc options: -O2 -lrt" -lrt

Basemark GPU

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

OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: MediumRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150SE +/- 0.19, N = 3SE +/- 1.48, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.25, N = 3105.98101.98112.7554.4157.60MIN: 26.63 / MAX: 217.02MIN: 53.82 / MAX: 190.65MIN: 61.76 / MAX: 214.96MIN: 27.65 / MAX: 115.28MIN: 28.39 / MAX: 125.5
OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: MediumRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 105.62 / Avg: 105.98 / Max: 106.23Min: 100.3 / Avg: 101.98 / Max: 104.94Min: 112.67 / Avg: 112.75 / Max: 112.82Min: 54.23 / Avg: 54.41 / Max: 54.63Min: 57.29 / Avg: 57.6 / Max: 58.1

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U4080120160200SE +/- 0.59, N = 3SE +/- 0.85, N = 3SE +/- 0.05, N = 3SE +/- 0.60, N = 3SE +/- 0.49, N = 396.77153.4580.31161.40162.221. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150Min: 95.59 / Avg: 96.77 / Max: 97.47Min: 151.76 / Avg: 153.45 / Max: 154.34Min: 80.22 / Avg: 80.31 / Max: 80.39Min: 160.21 / Avg: 161.4 / Max: 162.06Min: 161.27 / Avg: 162.22 / Max: 162.871. (CXX) g++ options: -O3 -fPIC

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1326395265SE +/- 0.67, N = 3SE +/- 0.26, N = 3SE +/- 0.15, N = 15SE +/- 0.13, N = 3SE +/- 0.27, N = 331.2442.0629.4959.1058.38MIN: 26.82 / MAX: 54.28MIN: 32.77 / MAX: 50.54MIN: 22.61 / MAX: 46.17MIN: 49.11 / MAX: 93.79MIN: 47.6 / MAX: 95.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1224364860Min: 30.33 / Avg: 31.24 / Max: 32.54Min: 41.68 / Avg: 42.06 / Max: 42.55Min: 28.9 / Avg: 29.49 / Max: 30.63Min: 58.88 / Avg: 59.1 / Max: 59.33Min: 58.06 / Avg: 58.38 / Max: 58.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U40K80K120K160K200KSE +/- 633.99, N = 3SE +/- 798.33, N = 3SE +/- 336.86, N = 3SE +/- 583.86, N = 3SE +/- 537.36, N = 31131171299881054631893552092881. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U40K80K120K160K200KMin: 111855 / Avg: 113116.67 / Max: 113857Min: 128400 / Avg: 129987.67 / Max: 130928Min: 104824 / Avg: 105463.33 / Max: 105967Min: 188188 / Avg: 189355.33 / Max: 189965Min: 208279 / Avg: 209288 / Max: 2101131. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U0.22280.44560.66840.89121.114SE +/- 0.01, N = 3SE +/- 0.00, N = 10SE +/- 0.00, N = 3SE +/- 0.00, N = 15SE +/- 0.00, N = 150.820.510.990.500.50MIN: 0.78 / MAX: 0.93MIN: 0.46 / MAX: 0.83MIN: 0.96 / MAX: 1.12MIN: 0.46 / MAX: 0.79MIN: 0.45 / MAX: 0.81
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810Min: 0.81 / Avg: 0.82 / Max: 0.84Min: 0.5 / Avg: 0.51 / Max: 0.55Min: 0.99 / Avg: 0.99 / Max: 1Min: 0.49 / Avg: 0.5 / Max: 0.55Min: 0.49 / Avg: 0.5 / Max: 0.54

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U0.20030.40060.60090.80121.0015SE +/- 0.01, N = 3SE +/- 0.00, N = 8SE +/- 0.01, N = 5SE +/- 0.00, N = 13SE +/- 0.00, N = 120.730.460.890.450.45MIN: 0.7 / MAX: 0.8MIN: 0.42 / MAX: 0.69MIN: 0.84 / MAX: 1.03MIN: 0.42 / MAX: 0.67MIN: 0.41 / MAX: 0.68
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810Min: 0.72 / Avg: 0.73 / Max: 0.75Min: 0.45 / Avg: 0.46 / Max: 0.49Min: 0.87 / Avg: 0.89 / Max: 0.94Min: 0.44 / Avg: 0.45 / Max: 0.5Min: 0.44 / Avg: 0.45 / Max: 0.49

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U4080120160200SE +/- 0.86, N = 3SE +/- 0.26, N = 3SE +/- 0.48, N = 3SE +/- 0.86, N = 3SE +/- 0.80, N = 3121.31180.69100.74198.42199.14
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U4080120160200Min: 119.6 / Avg: 121.31 / Max: 122.27Min: 180.17 / Avg: 180.69 / Max: 180.99Min: 100.14 / Avg: 100.74 / Max: 101.7Min: 196.73 / Avg: 198.42 / Max: 199.49Min: 197.65 / Avg: 199.14 / Max: 200.41

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U70140210280350SE +/- 0.53, N = 3SE +/- 0.57, N = 3SE +/- 1.91, N = 3SE +/- 0.99, N = 3SE +/- 0.84, N = 3200.77285.25161.50314.89312.65
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U60120180240300Min: 199.98 / Avg: 200.77 / Max: 201.78Min: 284.68 / Avg: 285.25 / Max: 286.39Min: 159.52 / Avg: 161.5 / Max: 165.33Min: 313.84 / Avg: 314.89 / Max: 316.87Min: 311.54 / Avg: 312.65 / Max: 314.3

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.06, N = 314.4916.5813.4926.0225.72MIN: 14.11 / MAX: 33.77MIN: 14.8 / MAX: 17.05MIN: 13.07 / MAX: 15.08MIN: 25.58 / MAX: 26.39MIN: 25.18 / MAX: 26.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 14.46 / Avg: 14.49 / Max: 14.55Min: 16.55 / Avg: 16.58 / Max: 16.61Min: 13.45 / Avg: 13.49 / Max: 13.55Min: 26.01 / Avg: 26.02 / Max: 26.04Min: 25.6 / Avg: 25.72 / Max: 25.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U110K220K330K440K550KSE +/- 518.29, N = 3SE +/- 1081.93, N = 3SE +/- 1809.88, N = 3SE +/- 849.96, N = 3SE +/- 2073.08, N = 32954003425642744154756215161741. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U90K180K270K360K450KMin: 294634 / Avg: 295400.33 / Max: 296388Min: 340405 / Avg: 342564 / Max: 343769Min: 272238 / Avg: 274415 / Max: 278008Min: 474702 / Avg: 475621 / Max: 477319Min: 512253 / Avg: 516173.67 / Max: 5193021. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

LibRaw

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

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U918273645SE +/- 0.04, N = 3SE +/- 0.41, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 3SE +/- 0.23, N = 328.4425.2140.5921.8422.101. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U816243240Min: 28.36 / Avg: 28.44 / Max: 28.49Min: 24.78 / Avg: 25.21 / Max: 26.04Min: 40.12 / Avg: 40.59 / Max: 40.89Min: 21.56 / Avg: 21.84 / Max: 22.36Min: 21.82 / Avg: 22.1 / Max: 22.561. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Build2

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U80160240320400SE +/- 1.31, N = 3SE +/- 1.92, N = 3SE +/- 1.90, N = 12SE +/- 1.30, N = 3SE +/- 2.39, N = 3243.86352.19203.27370.29372.89
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U70140210280350Min: 241.25 / Avg: 243.86 / Max: 245.39Min: 349.09 / Avg: 352.19 / Max: 355.69Min: 197.73 / Avg: 203.27 / Max: 218.43Min: 367.71 / Avg: 370.29 / Max: 371.77Min: 370.03 / Avg: 372.89 / Max: 377.63

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565U160320480640800676465730412

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 0.14, N = 3SE +/- 0.49, N = 3SE +/- 0.47, N = 3SE +/- 0.46, N = 3SE +/- 0.67, N = 459.6777.1173.3143.8149.50MIN: 1 / MAX: 212MIN: 1 / MAX: 351MIN: 1 / MAX: 246MIN: 1 / MAX: 179MIN: 1 / MAX: 197
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1530456075Min: 59.42 / Avg: 59.67 / Max: 59.92Min: 76.58 / Avg: 77.11 / Max: 78.08Min: 72.75 / Avg: 73.31 / Max: 74.25Min: 43.11 / Avg: 43.81 / Max: 44.67Min: 47.5 / Avg: 49.5 / Max: 50.42

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U510152025SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 316.021.518.912.414.5-llzma-llzma-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U510152025Min: 16 / Avg: 16.03 / Max: 16.1Min: 21.4 / Avg: 21.47 / Max: 21.6Min: 18.8 / Avg: 18.93 / Max: 19Min: 12.3 / Avg: 12.4 / Max: 12.5Min: 14.4 / Avg: 14.47 / Max: 14.51. (CC) gcc options: -O3 -pthread -lz

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620SE +/- 0.100, N = 3SE +/- 0.117, N = 5SE +/- 0.010, N = 3SE +/- 0.089, N = 7SE +/- 0.109, N = 410.6139.14014.0638.1748.1191. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620Min: 10.46 / Avg: 10.61 / Max: 10.8Min: 9 / Avg: 9.14 / Max: 9.61Min: 14.05 / Avg: 14.06 / Max: 14.08Min: 8.07 / Avg: 8.17 / Max: 8.71Min: 8 / Avg: 8.12 / Max: 8.451. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150SE +/- 0.42, N = 3SE +/- 0.02, N = 3SE +/- 0.82, N = 15SE +/- 0.04, N = 3SE +/- 0.17, N = 3109.8571.56111.31123.56112.08MIN: 107.76 / MAX: 158.7MIN: 70.12 / MAX: 87.59MIN: 106.75 / MAX: 822.84MIN: 121.08 / MAX: 141.51MIN: 110.43 / MAX: 137.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 109.05 / Avg: 109.85 / Max: 110.48Min: 71.53 / Avg: 71.56 / Max: 71.59Min: 107.97 / Avg: 111.31 / Max: 117.75Min: 123.49 / Avg: 123.56 / Max: 123.61Min: 111.88 / Avg: 112.08 / Max: 112.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U6K12K18K24K30KSE +/- 304.64, N = 4SE +/- 249.42, N = 3SE +/- 127.92, N = 3SE +/- 193.49, N = 3SE +/- 146.51, N = 322912195342878017030177861. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U5K10K15K20K25KMin: 22296 / Avg: 22912 / Max: 23745Min: 19162 / Avg: 19534.33 / Max: 20008Min: 28527 / Avg: 28780.33 / Max: 28938Min: 16644 / Avg: 17030.33 / Max: 17243Min: 17637 / Avg: 17786 / Max: 180791. (CXX) g++ options: -pipe -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430SE +/- 0.32, N = 3SE +/- 0.23, N = 3SE +/- 0.08, N = 15SE +/- 0.11, N = 3SE +/- 0.19, N = 318.1221.8516.2227.3526.62MIN: 12.98 / MAX: 38.17MIN: 19.51 / MAX: 25.69MIN: 12.32 / MAX: 38.22MIN: 24.89 / MAX: 36.82MIN: 24.09 / MAX: 39.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 17.53 / Avg: 18.12 / Max: 18.64Min: 21.59 / Avg: 21.85 / Max: 22.3Min: 15.87 / Avg: 16.22 / Max: 17.14Min: 27.13 / Avg: 27.35 / Max: 27.48Min: 26.29 / Avg: 26.62 / Max: 26.941. (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 - Model: CrownRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1.08982.17963.26944.35925.449SE +/- 0.0524, N = 4SE +/- 0.0275, N = 3SE +/- 0.0636, N = 12SE +/- 0.0129, N = 3SE +/- 0.0239, N = 33.80482.96284.84352.96662.9088MIN: 3.7 / MAX: 4.39MIN: 2.89 / MAX: 4.76MIN: 4.64 / MAX: 5.84MIN: 2.9 / MAX: 4.48MIN: 2.84 / MAX: 4.67
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810Min: 3.74 / Avg: 3.8 / Max: 3.96Min: 2.93 / Avg: 2.96 / Max: 3.02Min: 4.68 / Avg: 4.84 / Max: 5.53Min: 2.95 / Avg: 2.97 / Max: 2.99Min: 2.88 / Avg: 2.91 / Max: 2.96

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U816243240SE +/- 0.34, N = 3SE +/- 0.03, N = 3SE +/- 0.27, N = 15SE +/- 0.06, N = 3SE +/- 0.41, N = 322.8620.5721.5733.4132.32MIN: 21.64 / MAX: 40.99MIN: 19.55 / MAX: 36.29MIN: 20.2 / MAX: 177.09MIN: 31.19 / MAX: 50.82MIN: 29.7 / MAX: 48.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835Min: 22.23 / Avg: 22.86 / Max: 23.41Min: 20.53 / Avg: 20.57 / Max: 20.63Min: 20.42 / Avg: 21.57 / Max: 25.08Min: 33.3 / Avg: 33.41 / Max: 33.49Min: 31.82 / Avg: 32.32 / Max: 33.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U306090120150SE +/- 0.53, N = 3SE +/- 1.02, N = 3SE +/- 0.81, N = 9SE +/- 0.94, N = 3SE +/- 0.86, N = 387.39114.7782.88129.63126.351. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 86.44 / Avg: 87.39 / Max: 88.26Min: 112.73 / Avg: 114.77 / Max: 115.79Min: 77.57 / Avg: 82.87 / Max: 84.53Min: 127.76 / Avg: 129.63 / Max: 130.58Min: 124.63 / Avg: 126.35 / Max: 127.211. RawTherapee, version 5.8, command line.

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215SE +/- 0.006, N = 6SE +/- 0.096, N = 15SE +/- 0.078, N = 14SE +/- 0.075, N = 15SE +/- 0.098, N = 156.9958.4296.1479.5389.1481. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 6.98 / Avg: 7 / Max: 7.02Min: 7.3 / Avg: 8.43 / Max: 8.61Min: 5.8 / Avg: 6.15 / Max: 6.77Min: 8.56 / Avg: 9.54 / Max: 9.7Min: 8.05 / Avg: 9.15 / Max: 9.371. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810SE +/- 0.011, N = 6SE +/- 0.077, N = 15SE +/- 0.003, N = 7SE +/- 0.070, N = 5SE +/- 0.067, N = 156.4057.4115.4658.4108.1161. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 6.38 / Avg: 6.4 / Max: 6.45Min: 6.67 / Avg: 7.41 / Max: 7.57Min: 5.46 / Avg: 5.46 / Max: 5.48Min: 8.22 / Avg: 8.41 / Max: 8.66Min: 7.44 / Avg: 8.12 / Max: 8.271. (CXX) g++ options: -O3 -fPIC

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 0.20, N = 3SE +/- 0.01, N = 3SE +/- 0.83, N = 3SE +/- 1.44, N = 3SE +/- 1.20, N = 373.5166.5976.8499.9991.84
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPURyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 73.2 / Avg: 73.51 / Max: 73.87Min: 66.58 / Avg: 66.59 / Max: 66.61Min: 75.94 / Avg: 76.84 / Max: 78.5Min: 98.45 / Avg: 99.99 / Max: 102.87Min: 90.59 / Avg: 91.84 / Max: 94.24

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835SE +/- 0.22, N = 3SE +/- 0.22, N = 9SE +/- 0.12, N = 3SE +/- 0.29, N = 5SE +/- 0.35, N = 330.5622.1431.8621.6121.391. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835Min: 30.16 / Avg: 30.56 / Max: 30.93Min: 21.83 / Avg: 22.14 / Max: 23.86Min: 31.65 / Avg: 31.86 / Max: 32.07Min: 21.25 / Avg: 21.61 / Max: 22.76Min: 21.02 / Avg: 21.39 / Max: 22.091. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565U30060090012001500127910391367919

Hugin

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

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 0.35, N = 3SE +/- 0.77, N = 3SE +/- 0.42, N = 3SE +/- 0.93, N = 3SE +/- 0.39, N = 365.3879.1660.2989.0287.18
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 64.72 / Avg: 65.38 / Max: 65.9Min: 77.74 / Avg: 79.16 / Max: 80.36Min: 59.64 / Avg: 60.29 / Max: 61.07Min: 87.18 / Avg: 89.02 / Max: 90.22Min: 86.41 / Avg: 87.18 / Max: 87.65

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 0.33, N = 3SE +/- 0.55, N = 13SE +/- 0.75, N = 12SE +/- 0.84, N = 4SE +/- 0.76, N = 577.5566.2888.7661.6860.81MIN: 72.78 / MAX: 87.2MIN: 56.56 / MAX: 111.27MIN: 83.11 / MAX: 100.52MIN: 54.15 / MAX: 83.76MIN: 52.86 / MAX: 91.311. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 77.02 / Avg: 77.55 / Max: 78.15Min: 65.61 / Avg: 66.28 / Max: 72.9Min: 86.66 / Avg: 88.76 / Max: 94.51Min: 60.82 / Avg: 61.68 / Max: 64.21Min: 60 / Avg: 60.81 / Max: 63.871. (CC) gcc options: -pthread

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 0.24, N = 3SE +/- 0.62, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 3SE +/- 0.83, N = 359.586.763.968.376.01. firefox 81.0
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1632486480Min: 59.2 / Avg: 59.53 / Max: 60Min: 85.8 / Avg: 86.7 / Max: 87.9Min: 63.8 / Avg: 63.9 / Max: 64Min: 67.9 / Avg: 68.33 / Max: 68.8Min: 74.8 / Avg: 76.03 / Max: 77.61. firefox 81.0

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U80160240320400SE +/- 0.64, N = 3SE +/- 0.51, N = 3SE +/- 0.44, N = 3SE +/- 3.91, N = 3SE +/- 4.27, N = 5260.43336.74250.25363.52350.88MIN: 256.19 / MAX: 303.4MIN: 334.76 / MAX: 344.76MIN: 246.2 / MAX: 356.51MIN: 356.37 / MAX: 408.86MIN: 335.85 / MAX: 379.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U60120180240300Min: 259.57 / Avg: 260.43 / Max: 261.68Min: 336.12 / Avg: 336.74 / Max: 337.75Min: 249.8 / Avg: 250.25 / Max: 251.14Min: 357.47 / Avg: 363.52 / Max: 370.85Min: 337.32 / Avg: 350.88 / Max: 360.551. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -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.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U120240360480600SE +/- 2.17, N = 3SE +/- 0.75, N = 3SE +/- 1.04, N = 3SE +/- 0.93, N = 3SE +/- 1.13, N = 3400.7417.1384.3558.2537.71. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U100200300400500Min: 396.4 / Avg: 400.7 / Max: 403.3Min: 415.6 / Avg: 417.1 / Max: 417.9Min: 382.6 / Avg: 384.3 / Max: 386.2Min: 556.7 / Avg: 558.17 / Max: 559.9Min: 536.3 / Avg: 537.67 / Max: 539.91. firefox 81.0

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 319.7725.7618.8727.1526.061. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 19.74 / Avg: 19.77 / Max: 19.82Min: 25.66 / Avg: 25.76 / Max: 25.92Min: 18.83 / Avg: 18.87 / Max: 18.94Min: 27.03 / Avg: 27.15 / Max: 27.22Min: 25.82 / Avg: 26.06 / Max: 26.291. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U10002000300040005000SE +/- 45.90, N = 3SE +/- 19.36, N = 3SE +/- 60.55, N = 3SE +/- 2.79, N = 3SE +/- 22.35, N = 34155.744496.694385.913143.893348.181. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U8001600240032004000Min: 4092.73 / Avg: 4155.74 / Max: 4245.06Min: 4469.32 / Avg: 4496.69 / Max: 4534.1Min: 4310.01 / Avg: 4385.91 / Max: 4505.57Min: 3140.16 / Avg: 3143.89 / Max: 3149.35Min: 3324.14 / Avg: 3348.18 / Max: 3392.831. (CC) gcc options: -O3 -mavx2

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 0.37, N = 3SE +/- 0.16, N = 3SE +/- 0.34, N = 3SE +/- 0.11, N = 3SE +/- 0.46, N = 363.5188.6762.1067.1775.801. firefox 81.0
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 63 / Avg: 63.51 / Max: 64.23Min: 88.5 / Avg: 88.67 / Max: 88.98Min: 61.4 / Avg: 62.07 / Max: 62.5Min: 67.02 / Avg: 67.17 / Max: 67.39Min: 75.2 / Avg: 75.8 / Max: 76.71. firefox 81.0

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215SE +/- 0.094, N = 5SE +/- 0.041, N = 25SE +/- 0.087, N = 5SE +/- 0.070, N = 5SE +/- 0.084, N = 58.9446.7818.9329.6778.825
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 8.72 / Avg: 8.94 / Max: 9.25Min: 6.72 / Avg: 6.78 / Max: 7.76Min: 8.78 / Avg: 8.93 / Max: 9.19Min: 9.58 / Avg: 9.68 / Max: 9.95Min: 8.7 / Avg: 8.83 / Max: 9.16

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 1.00, N = 3SE +/- 0.39, N = 3SE +/- 0.18, N = 3SE +/- 0.88, N = 7SE +/- 0.20, N = 374.7559.1668.2084.4168.571. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1632486480Min: 73.26 / Avg: 74.75 / Max: 76.65Min: 58.37 / Avg: 59.16 / Max: 59.6Min: 67.85 / Avg: 68.2 / Max: 68.43Min: 81.64 / Avg: 84.4 / Max: 88.48Min: 68.18 / Avg: 68.57 / Max: 68.821. (CC) gcc options: -O2 -ldl -lz -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1326395265SE +/- 0.59, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 15SE +/- 0.00, N = 3SE +/- 0.02, N = 349.9552.5441.2858.7257.67MIN: 44.11 / MAX: 97.49MIN: 51.61 / MAX: 71.22MIN: 40.06 / MAX: 152.02MIN: 56.89 / MAX: 73.88MIN: 49.12 / MAX: 88.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1224364860Min: 49.05 / Avg: 49.95 / Max: 51.06Min: 52.52 / Avg: 52.54 / Max: 52.58Min: 40.91 / Avg: 41.28 / Max: 42.86Min: 58.71 / Avg: 58.72 / Max: 58.72Min: 57.63 / Avg: 57.67 / Max: 57.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1.05062.10123.15184.20245.253SE +/- 0.0526, N = 3SE +/- 0.0530, N = 3SE +/- 0.0067, N = 3SE +/- 0.0331, N = 3SE +/- 0.0210, N = 33.62943.28694.66923.38963.3661MIN: 3.5 / MAX: 4.16MIN: 3.1 / MAX: 5.53MIN: 4.62 / MAX: 4.89MIN: 3.28 / MAX: 5.02MIN: 3.28 / MAX: 5.29
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810Min: 3.53 / Avg: 3.63 / Max: 3.72Min: 3.19 / Avg: 3.29 / Max: 3.38Min: 4.66 / Avg: 4.67 / Max: 4.68Min: 3.34 / Avg: 3.39 / Max: 3.45Min: 3.34 / Avg: 3.37 / Max: 3.41

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215SE +/- 0.02, N = 8SE +/- 0.02, N = 7SE +/- 0.08, N = 7SE +/- 0.06, N = 15SE +/- 0.05, N = 78.1510.207.697.197.95
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPURyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 8.05 / Avg: 8.15 / Max: 8.22Min: 10.2 / Avg: 10.24 / Max: 10.3Min: 7.22 / Avg: 7.69 / Max: 7.84Min: 6.79 / Avg: 7.19 / Max: 7.44Min: 7.78 / Avg: 7.95 / Max: 8.2

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: CanvasMark - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3K6K9K12K15KSE +/- 122.05, N = 5SE +/- 46.36, N = 3SE +/- 61.24, N = 3SE +/- 11.02, N = 3SE +/- 140.32, N = 39794119269971854498951. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2K4K6K8K10KMin: 9403 / Avg: 9793.8 / Max: 10115Min: 11870 / Avg: 11926 / Max: 12018Min: 9875 / Avg: 9971.33 / Max: 10085Min: 8530 / Avg: 8544.33 / Max: 8566Min: 9743 / Avg: 9894.67 / Max: 101751. firefox 81.0

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U70140210280350SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.81, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3256.24321.97245.49336.63321.53MIN: 255.57 / MAX: 258.95MIN: 320.21 / MAX: 325.91MIN: 243.66 / MAX: 249.13MIN: 335.35 / MAX: 338.94MIN: 320.37 / MAX: 327.471. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U60120180240300Min: 256.17 / Avg: 256.24 / Max: 256.27Min: 321.83 / Avg: 321.97 / Max: 322.06Min: 244.68 / Avg: 245.49 / Max: 247.11Min: 336.4 / Avg: 336.63 / Max: 337.09Min: 321.43 / Avg: 321.53 / Max: 321.641. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -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: efficientnet-b0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 15SE +/- 0.02, N = 3SE +/- 0.09, N = 313.1816.7812.4016.9216.63MIN: 12.74 / MAX: 14.05MIN: 16.45 / MAX: 18.83MIN: 11.73 / MAX: 13.6MIN: 15.9 / MAX: 21.25MIN: 15.74 / MAX: 21.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620Min: 13.12 / Avg: 13.18 / Max: 13.25Min: 16.75 / Avg: 16.78 / Max: 16.8Min: 12.24 / Avg: 12.4 / Max: 12.64Min: 16.89 / Avg: 16.92 / Max: 16.95Min: 16.53 / Avg: 16.63 / Max: 16.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810SE +/- 0.022, N = 6SE +/- 0.070, N = 15SE +/- 0.013, N = 6SE +/- 0.099, N = 5SE +/- 0.112, N = 56.4987.8846.4438.6788.769
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 6.47 / Avg: 6.5 / Max: 6.61Min: 7.2 / Avg: 7.88 / Max: 8.12Min: 6.4 / Avg: 6.44 / Max: 6.47Min: 8.44 / Avg: 8.68 / Max: 8.91Min: 8.5 / Avg: 8.77 / Max: 9

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 0.40, N = 3SE +/- 0.18, N = 3SE +/- 0.71, N = 3SE +/- 0.87, N = 3SE +/- 0.53, N = 384.0495.0784.1069.8779.411. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 83.24 / Avg: 84.04 / Max: 84.45Min: 94.73 / Avg: 95.07 / Max: 95.32Min: 82.94 / Avg: 84.1 / Max: 85.4Min: 68.4 / Avg: 69.87 / Max: 71.41Min: 78.42 / Avg: 79.41 / Max: 80.261. firefox 81.0

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.30, N = 15SE +/- 0.06, N = 3SE +/- 0.04, N = 324.7221.7921.1928.8128.31MIN: 20.74 / MAX: 50MIN: 21.06 / MAX: 24.84MIN: 18.18 / MAX: 45.71MIN: 28.01 / MAX: 35.05MIN: 27.77 / MAX: 30.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 24.39 / Avg: 24.72 / Max: 25.14Min: 21.72 / Avg: 21.79 / Max: 21.87Min: 20.09 / Avg: 21.19 / Max: 23.49Min: 28.73 / Avg: 28.81 / Max: 28.92Min: 28.23 / Avg: 28.31 / Max: 28.351. (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.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2004006008001000SE +/- 6.53, N = 3SE +/- 1.36, N = 3SE +/- 5.62, N = 3SE +/- 2.71, N = 3SE +/- 3.58, N = 3892.3830.1874.01094.6975.91. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2004006008001000Min: 880.4 / Avg: 892.33 / Max: 902.9Min: 828.5 / Avg: 830.1 / Max: 832.8Min: 862.8 / Avg: 874.03 / Max: 880.1Min: 1089.9 / Avg: 1094.6 / Max: 1099.3Min: 968.9 / Avg: 975.87 / Max: 980.81. firefox 81.0

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1326395265SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.16, N = 3SE +/- 0.31, N = 347.6343.3347.0256.9652.301. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1122334455Min: 47.42 / Avg: 47.63 / Max: 47.86Min: 43.14 / Avg: 43.33 / Max: 43.56Min: 46.7 / Avg: 47.02 / Max: 47.58Min: 56.7 / Avg: 56.96 / Max: 57.25Min: 51.92 / Avg: 52.3 / Max: 52.921. firefox 81.0

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1326395265SE +/- 0.08, N = 3SE +/- 0.68, N = 3SE +/- 0.08, N = 3SE +/- 0.36, N = 3SE +/- 0.54, N = 345.9348.6344.9658.7556.561. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1224364860Min: 45.79 / Avg: 45.93 / Max: 46.08Min: 47.27 / Avg: 48.63 / Max: 49.33Min: 44.85 / Avg: 44.96 / Max: 45.11Min: 58.04 / Avg: 58.75 / Max: 59.21Min: 55.49 / Avg: 56.56 / Max: 57.131. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U816243240SE +/- 0.03, N = 5SE +/- 0.33, N = 7SE +/- 0.10, N = 5SE +/- 0.46, N = 5SE +/- 0.28, N = 1529.330.528.236.635.11. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U816243240Min: 29.2 / Avg: 29.3 / Max: 29.4Min: 29.4 / Avg: 30.53 / Max: 31.5Min: 27.9 / Avg: 28.18 / Max: 28.4Min: 34.8 / Avg: 36.64 / Max: 37.3Min: 32.8 / Avg: 35.05 / Max: 36.61. firefox 81.0

WireGuard + Linux Networking Stack Stress Test

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U70140210280350SE +/- 1.28, N = 3SE +/- 1.61, N = 3SE +/- 1.14, N = 3SE +/- 0.67, N = 3SE +/- 1.62, N = 3276.87328.95253.88323.84319.88
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U60120180240300Min: 274.91 / Avg: 276.87 / Max: 279.28Min: 327.17 / Avg: 328.95 / Max: 332.17Min: 252.51 / Avg: 253.88 / Max: 256.15Min: 322.99 / Avg: 323.84 / Max: 325.17Min: 317.73 / Avg: 319.88 / Max: 323.05

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 1065G7Ryzen 7 4700UCore i7 8550U80160240320400SE +/- 0.63, N = 3SE +/- 0.96, N = 3SE +/- 1.51, N = 3SE +/- 0.41, N = 3282.20361.15284.65302.43
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550U60120180240300Min: 281.2 / Avg: 282.2 / Max: 283.35Min: 359.29 / Avg: 361.15 / Max: 362.47Min: 281.73 / Avg: 284.65 / Max: 286.75Min: 301.71 / Avg: 302.43 / Max: 303.12

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2004006008001000SE +/- 1.33, N = 3SE +/- 10.15, N = 3SE +/- 0.88, N = 3SE +/- 5.04, N = 3SE +/- 1.33, N = 399483794910681011
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U2004006008001000Min: 991 / Avg: 993.67 / Max: 995Min: 824 / Avg: 837 / Max: 857Min: 948 / Avg: 949.33 / Max: 951Min: 1058 / Avg: 1067.67 / Max: 1075Min: 1008 / Avg: 1010.67 / Max: 1012

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810SE +/- 0.050, N = 25SE +/- 0.052, N = 25SE +/- 0.076, N = 25SE +/- 0.062, N = 24SE +/- 0.045, N = 257.9766.6538.0978.3867.9401. LibreOffice 7.0.1.2 00(Build:2)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 7.87 / Avg: 7.98 / Max: 9.12Min: 6.53 / Avg: 6.65 / Max: 7.85Min: 7.83 / Avg: 8.1 / Max: 9.88Min: 8.17 / Avg: 8.39 / Max: 9.75Min: 7.75 / Avg: 7.94 / Max: 8.961. LibreOffice 7.0.1.2 00(Build:2)

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565U140280420560700603574637507

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U400800120016002000SE +/- 8.17, N = 3SE +/- 1.00, N = 3SE +/- 3.61, N = 3SE +/- 16.35, N = 15SE +/- 22.23, N = 12176815091751189318541. firefox 81.0
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U30060090012001500Min: 1759 / Avg: 1767.67 / Max: 1784Min: 1508 / Avg: 1509 / Max: 1511Min: 1746 / Avg: 1751 / Max: 1758Min: 1739 / Avg: 1892.53 / Max: 1957Min: 1626 / Avg: 1854.33 / Max: 19411. firefox 81.0

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.40, N = 4SE +/- 0.40, N = 425.6223.5224.7629.0827.64
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 25.55 / Avg: 25.62 / Max: 25.7Min: 23.47 / Avg: 23.52 / Max: 23.56Min: 24.72 / Avg: 24.76 / Max: 24.83Min: 27.89 / Avg: 29.08 / Max: 29.53Min: 26.45 / Avg: 27.64 / Max: 28.09

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835SE +/- 0.10, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 328.0422.7127.9827.3024.981. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U612182430Min: 27.88 / Avg: 28.03 / Max: 28.22Min: 22.5 / Avg: 22.71 / Max: 23.1Min: 27.72 / Avg: 27.98 / Max: 28.29Min: 27.04 / Avg: 27.3 / Max: 27.65Min: 24.74 / Avg: 24.98 / Max: 25.251. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U0.030.060.090.120.15SE +/- 0.00173692, N = 4SE +/- 0.00112827, N = 3SE +/- 0.00027824, N = 3SE +/- 0.00124185, N = 3SE +/- 0.00084094, N = 30.128382710.108343200.122844810.133307510.12565788
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U12345Min: 0.12 / Avg: 0.13 / Max: 0.13Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.13 / Avg: 0.13 / Max: 0.14Min: 0.12 / Avg: 0.13 / Max: 0.13

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U8K16K24K32K40KSE +/- 110.74, N = 3SE +/- 83.70, N = 3SE +/- 350.33, N = 6SE +/- 107.75, N = 3SE +/- 128.59, N = 330445352753026828693313671. firefox 81.0
OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U6K12K18K24K30KMin: 30225 / Avg: 30444.67 / Max: 30579Min: 35141 / Avg: 35275.33 / Max: 35429Min: 28681 / Avg: 30268 / Max: 31100Min: 28479 / Avg: 28693 / Max: 28822Min: 31181 / Avg: 31367.33 / Max: 316141. firefox 81.0

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U4080120160200SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.38, N = 3SE +/- 0.20, N = 3176.33202.57183.27164.93180.271. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U4080120160200Min: 176.08 / Avg: 176.33 / Max: 176.6Min: 202.52 / Avg: 202.57 / Max: 202.67Min: 183.06 / Avg: 183.27 / Max: 183.58Min: 164.29 / Avg: 164.93 / Max: 165.61Min: 179.91 / Avg: 180.27 / Max: 180.61. firefox 81.0

LAME MP3 Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215SE +/- 0.003, N = 6SE +/- 0.003, N = 6SE +/- 0.006, N = 6SE +/- 0.006, N = 5SE +/- 0.007, N = 57.8137.9577.4289.1168.646-lncurses-lncurses-lncurses1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 7.8 / Avg: 7.81 / Max: 7.82Min: 7.94 / Avg: 7.96 / Max: 7.97Min: 7.41 / Avg: 7.43 / Max: 7.45Min: 9.1 / Avg: 9.12 / Max: 9.14Min: 8.62 / Avg: 8.65 / Max: 8.661. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215SE +/- 0.013, N = 5SE +/- 0.084, N = 15SE +/- 0.026, N = 5SE +/- 0.013, N = 5SE +/- 0.063, N = 59.0699.9038.95410.97110.977
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 9.04 / Avg: 9.07 / Max: 9.11Min: 9.41 / Avg: 9.9 / Max: 10.57Min: 8.9 / Avg: 8.95 / Max: 9.04Min: 10.93 / Avg: 10.97 / Max: 11Min: 10.84 / Avg: 10.98 / Max: 11.18

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U0.00020.00040.00060.00080.001SE +/- 0.00000580, N = 3SE +/- 0.00000280, N = 3SE +/- 0.00001548, N = 3SE +/- 0.00000353, N = 3SE +/- 0.00000418, N = 30.001058220.000925120.001105660.001064980.00091934
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U12345Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U510152025SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 321.5318.6821.5919.1717.981. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U510152025Min: 21.38 / Avg: 21.53 / Max: 21.75Min: 18.64 / Avg: 18.68 / Max: 18.69Min: 21.27 / Avg: 21.59 / Max: 21.93Min: 19.05 / Avg: 19.17 / Max: 19.33Min: 17.96 / Avg: 17.98 / Max: 181. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1122334455SE +/- 0.26, N = 3SE +/- 0.33, N = 3SE +/- 0.01, N = 3SE +/- 0.35, N = 3SE +/- 0.36, N = 344.1345.9442.3650.7550.09
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1020304050Min: 43.81 / Avg: 44.13 / Max: 44.64Min: 45.27 / Avg: 45.94 / Max: 46.33Min: 42.33 / Avg: 42.36 / Max: 42.38Min: 50.04 / Avg: 50.75 / Max: 51.1Min: 49.38 / Avg: 50.09 / Max: 50.57

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1122334455SE +/- 0.03, N = 3SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.49, N = 3SE +/- 0.47, N = 341.8843.0740.6648.1847.61
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1020304050Min: 41.84 / Avg: 41.88 / Max: 41.94Min: 42.24 / Avg: 43.07 / Max: 43.52Min: 40.56 / Avg: 40.66 / Max: 40.75Min: 47.21 / Avg: 48.18 / Max: 48.69Min: 46.67 / Avg: 47.61 / Max: 48.14

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U510152025SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 318.7718.6617.9420.8320.74
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U510152025Min: 18.6 / Avg: 18.77 / Max: 19.02Min: 18.62 / Avg: 18.66 / Max: 18.69Min: 17.91 / Avg: 17.94 / Max: 17.97Min: 20.72 / Avg: 20.82 / Max: 21.03Min: 20.69 / Avg: 20.74 / Max: 20.79

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U0.59991.19981.79972.39962.9995SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.002, N = 9SE +/- 0.001, N = 102.4242.4942.3212.6662.5301. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810Min: 2.42 / Avg: 2.42 / Max: 2.43Min: 2.49 / Avg: 2.49 / Max: 2.5Min: 2.31 / Avg: 2.32 / Max: 2.33Min: 2.66 / Avg: 2.67 / Max: 2.67Min: 2.53 / Avg: 2.53 / Max: 2.541. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1530456075SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.30, N = 3SE +/- 0.13, N = 361.5762.4160.1668.7966.84
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1326395265Min: 61.52 / Avg: 61.57 / Max: 61.62Min: 62.33 / Avg: 62.41 / Max: 62.45Min: 59.99 / Avg: 60.16 / Max: 60.38Min: 68.27 / Avg: 68.79 / Max: 69.31Min: 66.58 / Avg: 66.84 / Max: 66.99

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1632486480SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.29, N = 3SE +/- 0.36, N = 366.1166.3864.8473.6371.84
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1428425670Min: 66.03 / Avg: 66.11 / Max: 66.22Min: 66.29 / Avg: 66.37 / Max: 66.43Min: 64.71 / Avg: 64.84 / Max: 65.03Min: 73.04 / Avg: 73.63 / Max: 73.95Min: 71.18 / Avg: 71.84 / Max: 72.4

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U816243240SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.29, N = 333.0433.1032.3436.2335.47
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U816243240Min: 32.91 / Avg: 33.04 / Max: 33.14Min: 33.04 / Avg: 33.1 / Max: 33.2Min: 32.25 / Avg: 32.33 / Max: 32.45Min: 35.87 / Avg: 36.23 / Max: 36.43Min: 34.91 / Avg: 35.47 / Max: 35.8

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810SE +/- 0.003, N = 6SE +/- 0.007, N = 6SE +/- 0.009, N = 6SE +/- 0.072, N = 6SE +/- 0.015, N = 67.5687.4887.2348.0887.5721. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 7.56 / Avg: 7.57 / Max: 7.58Min: 7.47 / Avg: 7.49 / Max: 7.51Min: 7.22 / Avg: 7.23 / Max: 7.27Min: 7.93 / Avg: 8.09 / Max: 8.32Min: 7.55 / Avg: 7.57 / Max: 7.641. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1326395265SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 355.6152.4053.5657.7355.291. git version 2.25.1
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1122334455Min: 55.52 / Avg: 55.61 / Max: 55.7Min: 52.38 / Avg: 52.4 / Max: 52.41Min: 53.48 / Avg: 53.56 / Max: 53.68Min: 57.59 / Avg: 57.73 / Max: 57.97Min: 55.16 / Avg: 55.29 / Max: 55.41. git version 2.25.1

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U816243240SE +/- 0.25, N = 20SE +/- 0.45, N = 4SE +/- 0.37, N = 20SE +/- 0.27, N = 4SE +/- 0.44, N = 533.1430.9830.9731.3333.311. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835Min: 29.64 / Avg: 33.14 / Max: 34.44Min: 29.72 / Avg: 30.98 / Max: 31.82Min: 28.65 / Avg: 30.97 / Max: 35.47Min: 30.78 / Avg: 31.33 / Max: 31.97Min: 31.57 / Avg: 33.31 / Max: 33.921. (CC) gcc options: -O2 -std=c99

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringCore i7 1065G7Core i7 8550UCore i7 8565U1632486480Min: 0.16 / Avg: 14.6 / Max: 54.4Min: 0.32 / Avg: 21.72 / Max: 81.74Min: 0.28 / Avg: 20.23 / Max: 70.05

Selenium

MinAvgMaxCore i7 1065G70.613.235.2Core i7 8550U0.717.339.3Core i7 8565U1.016.834.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1122334455

ParaView

MinAvgMaxCore i7 1065G70.512.531.4Core i7 8550U0.718.041.7Core i7 8565U0.919.436.7OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption Monitor1224364860

OCRMyPDF

MinAvgMaxCore i7 1065G753.070.899.0Ryzen 7 4700U51.173.2105.8Core i7 8550U52.074.799.0Core i7 8565U50.074.4100.0OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 9.6.0+dfsgCPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G70.416.353.3Core i7 8550U0.724.270.4Core i7 8565U0.822.267.6OpenBenchmarking.orgWatts, Fewer Is BetterOCRMyPDF 9.6.0+dfsgCPU Power Consumption Monitor20406080100

MinAvgMaxCore i7 1065G7120023633899Ryzen 7 4700U39931504182Core i7 8550U90024894000OpenBenchmarking.orgMegahertz, More Is BetterOCRMyPDF 9.6.0+dfsgCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

NCNN

MinAvgMaxCore i7 1065G70.416.344.9Core i7 8550U0.723.161.5Core i7 8565U0.621.862.8OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20200916CPU Power Consumption Monitor20406080100

LAMMPS Molecular Dynamics Simulator

MinAvgMaxCore i7 1065G70.315.247.9Core i7 8550U0.523.566.0Core i7 8565U0.521.768.2OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Power Consumption Monitor20406080100

GraphicsMagick

MinAvgMaxCore i7 1065G70.416.749.0Core i7 8550U0.624.171.1Core i7 8565U0.922.364.4OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor20406080100

FFTE

MinAvgMaxCore i7 1065G70.315.753.4Core i7 8550U0.622.870.4Core i7 8565U0.521.768.5OpenBenchmarking.orgWatts, Fewer Is BetterFFTE 7.0CPU Power Consumption Monitor20406080100

FLAC Audio Encoding

MinAvgMaxCore i7 1065G70.310.617.9Core i7 8550U0.817.929.2Core i7 8565U0.615.525.9OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.3.2CPU Power Consumption Monitor918273645

Darktable

MinAvgMaxCore i7 1065G750.056.291.0Ryzen 7 4700U56.965.773.6Core i7 8550U48.055.786.0Core i7 8565U49.055.491.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G70.44.819.9Core i7 8550U0.67.631.6Core i7 8565U0.57.230.3OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.0.1CPU Power Consumption Monitor918273645

MinAvgMaxCore i7 1065G7110018573900Ryzen 7 4700U139719484182Core i7 8550U86616324003OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxCore i7 1065G753.070.094.0Ryzen 7 4700U66.375.984.4Core i7 8550U52.073.499.0Core i7 8565U52.072.1100.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G70.316.045.8Core i7 8550U0.423.763.2Core i7 8565U0.521.567.9OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.0.1CPU Power Consumption Monitor20406080100

MinAvgMaxCore i7 1065G797424183900Ryzen 7 4700U139730974182Core i7 8550U90025583998OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxCore i7 1065G748.069.1100.0Ryzen 7 4700U41.875.893.0Core i7 8550U46.075.698.0Core i7 8565U46.072.799.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarktable 3.0.1CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G70.216.749.1Core i7 8550U0.625.264.1Core i7 8565U0.624.961.6OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 3.0.1CPU Power Consumption Monitor20406080100

MinAvgMaxCore i7 1065G7120121803899Ryzen 7 4700U139735374165Core i7 8550U90025414001OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 34.75 / Avg: 79.57 / Max: 104.13Min: 42 / Avg: 69.59 / Max: 100Min: 39 / Avg: 66.13 / Max: 103.38Min: 43 / Avg: 73.72 / Max: 100Min: 42 / Avg: 73.11 / 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 1065G7Ryzen 7 4700UCore i7 8550U7001400210028003500Min: 1070 / Avg: 2996.15 / Max: 3994Min: 846 / Avg: 2407.04 / Max: 3905Min: 1397 / Avg: 3192.11 / Max: 4192Min: 700 / Avg: 2523.04 / Max: 4214

Selenium

MinAvgMaxRyzen 5 4500U44.358.373.6Core i7 1065G750.066.197.0Ryzen 7 4700U40.465.182.9Core i7 8550U47.066.291.0Core i7 8565U46.065.292.0OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U138126103986Core i7 1065G794926343894Ryzen 7 4700U139728884184Core i7 8550U80022793995OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U120240360480600SE +/- 1.96, N = 3SE +/- 2.86, N = 3SE +/- 8.76, N = 12SE +/- 3.65, N = 3SE +/- 1.16, N = 3449.51549.84491.30385.88407.561. firefox 81.0
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U100200300400500Min: 445.61 / Avg: 449.51 / Max: 451.73Min: 545.34 / Avg: 549.84 / Max: 555.15Min: 451.36 / Avg: 491.3 / Max: 542.52Min: 380.62 / Avg: 385.88 / Max: 392.89Min: 405.52 / Avg: 407.56 / Max: 409.531. firefox 81.0

ParaView

MinAvgMaxRyzen 5 4500U47.862.769.9Core i7 1065G750.074.099.0Ryzen 7 4700U45.171.081.3Core i7 8550U48.071.593.0Core i7 8565U50.074.497.0OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139725533986Core i7 1065G7110127393897Ryzen 7 4700U139728374185Core i7 8550U80026164003OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U130260390520650SE +/- 8.56, N = 15SE +/- 0.27, N = 7SE +/- 1.69, N = 7SE +/- 0.12, N = 6SE +/- 0.20, N = 6536.72421.00598.67206.81212.22
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U110220330440550Min: 451.35 / Avg: 536.72 / Max: 565.37Min: 420.13 / Avg: 421 / Max: 421.98Min: 592.95 / Avg: 598.67 / Max: 603.64Min: 206.26 / Avg: 206.81 / Max: 207.1Min: 211.43 / Avg: 212.22 / Max: 212.62

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1326395265SE +/- 0.82, N = 15SE +/- 0.03, N = 7SE +/- 0.16, N = 7SE +/- 0.01, N = 6SE +/- 0.02, N = 651.5040.4057.4419.8420.36
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1122334455Min: 43.31 / Avg: 51.5 / Max: 54.25Min: 40.31 / Avg: 40.4 / Max: 40.49Min: 56.9 / Avg: 57.44 / Max: 57.92Min: 19.79 / Avg: 19.84 / Max: 19.87Min: 20.29 / Avg: 20.36 / Max: 20.4

OCRMyPDF

MinAvgMaxRyzen 5 4500U46.576.897.4OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDFCPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139732593987OpenBenchmarking.orgMegahertz, More Is BetterOCRMyPDFCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 0.12, N = 3SE +/- 0.66, N = 3SE +/- 0.89, N = 12SE +/- 0.64, N = 3SE +/- 0.66, N = 344.6065.2838.7379.6379.17
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1530456075Min: 44.42 / Avg: 44.6 / Max: 44.82Min: 63.97 / Avg: 65.28 / Max: 65.97Min: 33.92 / Avg: 38.73 / Max: 45.8Min: 78.36 / Avg: 79.63 / Max: 80.43Min: 77.84 / Avg: 79.17 / Max: 79.94

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 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620SE +/- 0.03, N = 3SE +/- 0.36, N = 3SE +/- 0.02, N = 15SE +/- 0.22, N = 3SE +/- 0.92, N = 36.3411.735.8915.1913.90MIN: 5.92 / MAX: 23.58MIN: 10.88 / MAX: 14.69MIN: 5.31 / MAX: 7.21MIN: 11.82 / MAX: 15.91MIN: 9.61 / MAX: 15.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U48121620Min: 6.29 / Avg: 6.34 / Max: 6.4Min: 11.12 / Avg: 11.73 / Max: 12.35Min: 5.75 / Avg: 5.89 / Max: 5.98Min: 14.77 / Avg: 15.19 / Max: 15.48Min: 12.06 / Avg: 13.9 / Max: 14.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

MinAvgMaxRyzen 5 4500U50.088.3102.8Core i7 1065G750.067.496.0Ryzen 7 4700U48.664.190.8Core i7 8550U50.070.593.0Core i7 8565U49.071.3100.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139734383986Core i7 1065G7120122463500Ryzen 7 4700U139735344183Core i7 8550U80124924000OpenBenchmarking.orgMegahertz, More Is BetterNCNN 20200916CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1224364860SE +/- 0.46, N = 3SE +/- 0.14, N = 3SE +/- 0.73, N = 15SE +/- 0.07, N = 3SE +/- 0.11, N = 348.0643.7543.6153.2952.29MIN: 44.99 / MAX: 83.21MIN: 41.77 / MAX: 57.97MIN: 39.8 / MAX: 402.4MIN: 51.6 / MAX: 68.68MIN: 50.64 / MAX: 76.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1122334455Min: 47.15 / Avg: 48.06 / Max: 48.65Min: 43.53 / Avg: 43.75 / Max: 44.01Min: 40.32 / Avg: 43.61 / Max: 48.77Min: 53.15 / Avg: 53.29 / Max: 53.38Min: 52.18 / Avg: 52.29 / Max: 52.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.47, N = 15SE +/- 0.04, N = 3SE +/- 0.05, N = 327.7922.5923.2130.4729.83MIN: 25.64 / MAX: 56.64MIN: 20.34 / MAX: 44.74MIN: 21.3 / MAX: 224.03MIN: 29.25 / MAX: 47.69MIN: 27.42 / MAX: 49.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835Min: 27.5 / Avg: 27.79 / Max: 27.98Min: 22.54 / Avg: 22.59 / Max: 22.66Min: 21.52 / Avg: 23.21 / Max: 29.51Min: 30.41 / Avg: 30.47 / Max: 30.54Min: 29.73 / Avg: 29.83 / Max: 29.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U918273645SE +/- 0.38, N = 3SE +/- 0.22, N = 3SE +/- 0.49, N = 15SE +/- 0.06, N = 3SE +/- 0.29, N = 328.3833.2026.6040.3839.65MIN: 25.72 / MAX: 63.08MIN: 31.71 / MAX: 48.84MIN: 24.68 / MAX: 356.43MIN: 39.34 / MAX: 58.32MIN: 38.4 / MAX: 62.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U816243240Min: 27.99 / Avg: 28.38 / Max: 29.14Min: 32.97 / Avg: 33.2 / Max: 33.65Min: 25.84 / Avg: 26.6 / Max: 33.31Min: 40.29 / Avg: 40.38 / Max: 40.49Min: 39.22 / Avg: 39.65 / Max: 40.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U816243240SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.65, N = 15SE +/- 0.04, N = 3SE +/- 0.10, N = 325.3128.1624.1132.8533.57MIN: 22.86 / MAX: 63.78MIN: 27.28 / MAX: 48.41MIN: 21.23 / MAX: 564.92MIN: 28.8 / MAX: 53.22MIN: 32.22 / MAX: 53.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835Min: 24.89 / Avg: 25.31 / Max: 25.68Min: 28.03 / Avg: 28.16 / Max: 28.34Min: 21.76 / Avg: 24.11 / Max: 31.94Min: 32.77 / Avg: 32.85 / Max: 32.92Min: 33.46 / Avg: 33.57 / Max: 33.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LAMMPS Molecular Dynamics Simulator

MinAvgMaxRyzen 5 4500U44.367.173.8Core i7 1065G748.065.794.0Ryzen 7 4700U48.678.587.4Core i7 8550U48.070.495.0Core i7 8565U47.070.5100.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139725783645Core i7 1065G7110122203545Ryzen 7 4700U139727974148Core i7 8550U90023753705OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U1.30232.60463.90695.20926.5115SE +/- 0.013, N = 7SE +/- 0.086, N = 15SE +/- 0.011, N = 9SE +/- 0.047, N = 15SE +/- 0.063, N = 154.0412.6415.7882.1142.1131. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U246810Min: 3.99 / Avg: 4.04 / Max: 4.09Min: 2.29 / Avg: 2.64 / Max: 3.18Min: 5.72 / Avg: 5.79 / Max: 5.82Min: 2.01 / Avg: 2.11 / Max: 2.74Min: 1.98 / Avg: 2.11 / Max: 2.971. (CXX) g++ options: -O3 -pthread -lm

GraphicsMagick

MinAvgMaxRyzen 5 4500U49.986.696.6Core i7 1065G752.069.298.0Ryzen 7 4700U44.069.397.9Core i7 8550U53.073.198.0Core i7 8565U52.073.5100.0OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139730433652Core i7 1065G7124322493500Ryzen 7 4700U139729294040Core i7 8550U90024993700OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100SE +/- 1.15, N = 3SE +/- 0.67, N = 3SE +/- 1.59, N = 15SE +/- 0.33, N = 3SE +/- 0.33, N = 37241942727-lwebp -lwebpmux -lbz2-lwebp -lwebpmux -lbz2-lbz21. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U20406080100Min: 70 / Avg: 72 / Max: 74Min: 40 / Avg: 40.67 / Max: 42Min: 92 / Avg: 94.2 / Max: 114Min: 27 / Avg: 27.33 / Max: 28Min: 27 / Avg: 27.33 / Max: 281. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

FFTE

MinAvgMaxRyzen 5 4500U44.868.976.6Core i7 1065G749.065.297.0Ryzen 7 4700U43.070.179.8Core i7 8550U52.072.799.0Core i7 8565U51.072.1100.0OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139724623986Core i7 1065G7120120503848Ryzen 7 4700U139723784086Core i7 8550U90020783700OpenBenchmarking.orgMegahertz, More Is BetterFFTE 7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U5K10K15K20K25KSE +/- 121.01, N = 9SE +/- 865.95, N = 15SE +/- 128.06, N = 10SE +/- 414.87, N = 15SE +/- 506.08, N = 1522192.9721665.3925470.6315064.7215397.351. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U4K8K12K16K20KMin: 21588 / Avg: 22192.97 / Max: 22630.93Min: 19169.86 / Avg: 21665.39 / Max: 26520.48Min: 24430.01 / Avg: 25470.63 / Max: 25952.71Min: 14224.1 / Avg: 15064.72 / Max: 18692.5Min: 13030.49 / Avg: 15397.35 / Max: 19975.741. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

FLAC Audio Encoding

MinAvgMaxRyzen 5 4500U66.979.187.8Core i7 1065G751.074.795.0Ryzen 7 4700U43.067.475.0Core i7 8550U53.077.493.0Core i7 8565U53.072.488.0OpenBenchmarking.orgCelsius, Fewer Is BetterFLAC Audio Encoding 1.3.2CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139731023986Core i7 1065G7106530623901Ryzen 7 4700U139733464181Core i7 8550U90030854060OpenBenchmarking.orgMegahertz, More Is BetterFLAC Audio Encoding 1.3.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215SE +/- 0.012, N = 5SE +/- 0.229, N = 20SE +/- 0.097, N = 6SE +/- 0.023, N = 5SE +/- 0.068, N = 58.6149.3718.7869.5759.617-logg-logg1. (CXX) g++ options: -O2 -fvisibility=hidden -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U3691215Min: 8.58 / Avg: 8.61 / Max: 8.65Min: 8.87 / Avg: 9.37 / Max: 13.1Min: 8.52 / Avg: 8.79 / Max: 9.2Min: 9.52 / Avg: 9.58 / Max: 9.64Min: 9.43 / Avg: 9.62 / Max: 9.771. (CXX) g++ options: -O2 -fvisibility=hidden -lm

Darktable

MinAvgMaxRyzen 5 4500U54.870.979.9OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableCPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139719083986OpenBenchmarking.orgMegahertz, More Is BetterDarktableCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U0.07290.14580.21870.29160.3645SE +/- 0.003, N = 15SE +/- 0.000, N = 13SE +/- 0.007, N = 15SE +/- 0.000, N = 12SE +/- 0.001, N = 120.2670.2400.2460.3240.286
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U12345Min: 0.26 / Avg: 0.27 / Max: 0.3Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.23 / Avg: 0.25 / Max: 0.34Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.28 / Avg: 0.29 / Max: 0.29

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

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U510152025SE +/- 0.010, N = 6SE +/- 0.130, N = 15SE +/- 0.141, N = 15SE +/- 0.213, N = 9SE +/- 0.081, N = 156.4208.0315.47821.6229.632
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U510152025Min: 6.4 / Avg: 6.42 / Max: 6.47Min: 6.45 / Avg: 8.03 / Max: 8.27Min: 5.23 / Avg: 5.48 / Max: 7.34Min: 19.92 / Avg: 21.62 / Max: 21.92Min: 8.72 / Avg: 9.63 / Max: 9.82

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

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835SE +/- 0.10, N = 3SE +/- 0.33, N = 12SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.16, N = 316.8417.0215.7231.2423.28
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8550UCore i7 8565U714212835Min: 16.72 / Avg: 16.84 / Max: 17.04Min: 13.39 / Avg: 17.02 / Max: 17.41Min: 15.5 / Avg: 15.72 / Max: 16.07Min: 30.82 / Avg: 31.24 / Max: 31.51Min: 22.96 / Avg: 23.27 / Max: 23.47

167 Results Shown

ctx_clock
NCNN
GLmark2
NCNN:
  Vulkan GPU - resnet50
  Vulkan GPU - resnet18
Darktable
TensorFlow Lite:
  Inception V4
  Inception ResNet V2
Mobile Neural Network
TensorFlow Lite:
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  SqueezeNet
NCNN
GraphicsMagick
Mobile Neural Network
ParaView:
  Wavelet Volume - 1920 x 1080:
    MiVoxels / Sec
    Frames / Sec
Mobile Neural Network
GraphicsMagick
BRL-CAD
ASTC Encoder
NCNN
Unigine Superposition
Basemark GPU
NCNN
Mobile Neural Network
YafaRay
Intel Open Image Denoise
GraphicsMagick:
  Noise-Gaussian
  HWB Color Space
Coremark
Basemark GPU
libavif avifenc
NCNN
Caffe
LuxCoreRender:
  Rainbow Colors and Prism
  DLSC
Timed FFmpeg Compilation
Timed Linux Kernel Compilation
NCNN
Caffe
LibRaw
Build2
AI Benchmark Alpha
OpenVKL
Zstd Compression
SVT-AV1
NCNN
7-Zip Compression
NCNN
Embree
NCNN
RawTherapee
libavif avifenc:
  8
  10
DeepSpeech
x265
AI Benchmark Alpha
Hugin
dav1d
Selenium
TNN
Selenium
RNNoise
Himeno Benchmark
Selenium
GNU Octave Benchmark
SQLite Speedtest
NCNN
Embree
NeatBench
Selenium
TNN
NCNN
GEGL
Selenium
NCNN
Selenium:
  Kraken - Firefox
  ARES-6 - Firefox
WebP Image Encode
Selenium
WireGuard + Linux Networking Stack Stress Test
Numpy Benchmark
PyBench
LibreOffice
AI Benchmark Alpha
Selenium
Tesseract OCR
Inkscape
Perl Benchmarks
Selenium:
  Octane - Firefox
  Jetstream - Firefox
LAME MP3 Encoding
GEGL
Perl Benchmarks
WebP Image Encode
GEGL:
  Rotate 90 Degrees
  Antialias
Dolfyn
WebP Image Encode
GEGL:
  Color Enhance
  Wavelet Blur
  Reflect
WebP Image Encode
Git
eSpeak-NG Speech Engine
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  CPU Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  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
  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
Selenium
ParaView:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
ParaView:
  Wavelet Contour - 1920 x 1080:
    MiPolys / Sec
    Frames / Sec
OCRMyPDF:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
OCRMyPDF
NCNN
NCNN:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
NCNN:
  CPU - yolov4-tiny
  CPU - resnet18
  CPU - mobilenet
  CPU - squeezenet
LAMMPS Molecular Dynamics Simulator:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
LAMMPS Molecular Dynamics Simulator
GraphicsMagick:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
GraphicsMagick
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
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
Darktable:
  CPU Temp Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
Darktable