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 TimeCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U150300450600750SE +/- 0.27, N = 13SE +/- 0.65, N = 9SE +/- 0.55, N = 1185701325118100
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U120240360480600Min: 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-v2Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620SE +/- 0.35, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 1510.6615.6815.774.133.88MIN: 10.08 / MAX: 12.18MIN: 13.61 / MAX: 16.89MIN: 13.17 / MAX: 16.01MIN: 3.8 / MAX: 5.21MIN: 3.39 / MAX: 5.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620Min: 10.29 / Avg: 10.66 / Max: 11.36Min: 15.33 / Avg: 15.68 / Max: 16Min: 15.69 / Avg: 15.77 / Max: 15.91Min: 4.09 / Avg: 4.13 / Max: 4.18Min: 3.61 / Avg: 3.88 / Max: 41. (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 1080Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U400800120016002000101552355816611697

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1224364860SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 1535.8251.9851.6519.0216.67MIN: 35.58 / MAX: 36.17MIN: 50.91 / MAX: 53MIN: 50.49 / MAX: 52.95MIN: 18.55 / MAX: 20.08MIN: 15.97 / MAX: 18.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1020304050Min: 35.77 / Avg: 35.82 / Max: 35.85Min: 51.89 / Avg: 51.98 / Max: 52.04Min: 51.59 / Avg: 51.65 / Max: 51.69Min: 19 / Avg: 19.02 / Max: 19.03Min: 16.53 / Avg: 16.67 / Max: 16.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 1517.1124.1123.888.837.90MIN: 16.81 / MAX: 17.39MIN: 23.5 / MAX: 24.39MIN: 23.34 / MAX: 24.42MIN: 8.54 / MAX: 10.22MIN: 7.44 / MAX: 9.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 17.05 / Avg: 17.11 / Max: 17.17Min: 24.05 / Avg: 24.11 / Max: 24.16Min: 23.86 / Avg: 23.88 / Max: 23.9Min: 8.81 / Avg: 8.83 / Max: 8.85Min: 7.84 / Avg: 7.9 / Max: 7.971. (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-onlyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430SE +/- 0.167, N = 15SE +/- 0.325, N = 5SE +/- 0.091, N = 15SE +/- 0.015, N = 5SE +/- 0.071, N = 511.29124.64413.3879.8178.100
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 8.96 / Avg: 11.29 / Max: 11.56Min: 23.35 / Avg: 24.64 / Max: 25.02Min: 12.16 / Avg: 13.39 / Max: 13.58Min: 9.78 / Avg: 9.82 / Max: 9.86Min: 7.98 / Avg: 8.1 / Max: 8.37

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 V4Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2M4M6M8M10MSE +/- 16982.47, N = 3SE +/- 14845.46, N = 3SE +/- 2531.36, N = 3SE +/- 22097.79, N = 3SE +/- 5339.55, N = 39170150103526671050223347939133661980
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2M4M6M8M10MMin: 9137230 / Avg: 9170150 / Max: 9193850Min: 10323100 / Avg: 10352666.67 / Max: 10369800Min: 10498900 / Avg: 10502233.33 / Max: 10507200Min: 4750340 / Avg: 4793913.33 / Max: 4822100Min: 3651830 / Avg: 3661980 / Max: 3669930

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2M4M6M8M10MSE +/- 21082.23, N = 3SE +/- 19890.60, N = 3SE +/- 2753.67, N = 3SE +/- 21501.76, N = 3SE +/- 2809.26, N = 383038009352793948247743322903311907
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1.6M3.2M4.8M6.4M8MMin: 8261720 / Avg: 8303800 / Max: 8327150Min: 9313140 / Avg: 9352793.33 / Max: 9375380Min: 9477230 / Avg: 9482476.67 / Max: 9486550Min: 4289370 / Avg: 4332290 / Max: 4356070Min: 3306290 / Avg: 3311906.67 / Max: 3314840

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.35, N = 3SE +/- 0.19, N = 12SE +/- 0.04, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 359.0381.0391.8032.1133.16MIN: 56.05 / MAX: 82.31MIN: 73.75 / MAX: 143.35MIN: 87.72 / MAX: 176.73MIN: 29.79 / MAX: 51.51MIN: 32.31 / MAX: 98.741. (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-v2-50Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 58.32 / Avg: 59.03 / Max: 59.39Min: 79.05 / Avg: 81.03 / Max: 81.79Min: 91.73 / Avg: 91.8 / Max: 91.87Min: 31.71 / Avg: 32.11 / Max: 32.4Min: 33.04 / Avg: 33.16 / Max: 33.241. (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 MobileCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U120K240K360K480K600KSE +/- 6073.35, N = 3SE +/- 7612.95, N = 3SE +/- 6872.55, N = 3SE +/- 909.74, N = 3SE +/- 1038.73, N = 3455216529295538232261175189137
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U90K180K270K360K450KMin: 443073 / Avg: 455216.33 / Max: 461536Min: 514446 / Avg: 529294.67 / Max: 539636Min: 524488 / Avg: 538232 / Max: 545254Min: 259585 / Avg: 261175.33 / Max: 262736Min: 187099 / Avg: 189137.33 / Max: 190504

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U100K200K300K400K500KSE +/- 5701.34, N = 3SE +/- 5963.72, N = 3SE +/- 5979.89, N = 3SE +/- 2082.31, N = 3SE +/- 604.62, N = 3422984476995484620221797172190
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U80K160K240K320K400KMin: 411581 / Avg: 422983.67 / Max: 428694Min: 465076 / Avg: 476995.33 / Max: 483336Min: 472660 / Avg: 484619.67 / Max: 490644Min: 217646 / Avg: 221796.67 / Max: 224167Min: 170982 / Avg: 172189.67 / Max: 172847

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U100K200K300K400K500KSE +/- 5726.85, N = 3SE +/- 6072.50, N = 3SE +/- 6021.80, N = 3SE +/- 2233.04, N = 3SE +/- 132.95, N = 3421963482232488592226773174996
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U80K160K240K320K400KMin: 410509 / Avg: 421962.67 / Max: 427713Min: 470087 / Avg: 482232 / Max: 488315Min: 476549 / Avg: 488592 / Max: 494718Min: 222367 / Avg: 226773.33 / Max: 229607Min: 174749 / Avg: 174995.67 / Max: 175205

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U150K300K450K600K750KSE +/- 8228.71, N = 3SE +/- 9441.41, N = 3SE +/- 8757.43, N = 3SE +/- 3146.34, N = 3SE +/- 452.41, N = 3626064700649709065334171257288
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U120K240K360K480K600KMin: 609607 / Avg: 626063.67 / Max: 634429Min: 681783 / Avg: 700649 / Max: 710772Min: 691550 / Avg: 709064.67 / Max: 717893Min: 327947 / Avg: 334171 / Max: 338086Min: 256555 / Avg: 257288.33 / Max: 258114

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 1595.90155.20152.8262.0457.85MIN: 93.54 / MAX: 96.72MIN: 154.17 / MAX: 157.14MIN: 151.45 / MAX: 154.04MIN: 60.99 / MAX: 81.46MIN: 56.85 / MAX: 65.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150Min: 95.85 / Avg: 95.9 / Max: 95.93Min: 155.18 / Avg: 155.2 / Max: 155.22Min: 152.29 / Avg: 152.82 / Max: 153.1Min: 61.5 / Avg: 62.04 / Max: 62.35Min: 57.49 / Avg: 57.85 / Max: 58.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U150300450600750SE +/- 4.18, N = 3SE +/- 4.18, N = 3SE +/- 3.51, N = 3SE +/- 5.46, N = 3280273270576714-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: ResizingCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U130260390520650Min: 275 / Avg: 279.67 / Max: 288Min: 268 / Avg: 272.67 / Max: 281Min: 266 / Avg: 270 / Max: 277Min: 569 / Avg: 576.33 / Max: 5871. (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-v1-1.0Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215SE +/- 0.013, N = 3SE +/- 0.013, N = 12SE +/- 0.014, N = 3SE +/- 0.029, N = 3SE +/- 0.015, N = 39.43311.75412.7384.8314.886MIN: 8.89 / MAX: 15.49MIN: 11.1 / MAX: 49.42MIN: 12 / MAX: 55.1MIN: 4.3 / MAX: 21.97MIN: 4.75 / MAX: 19.131. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620Min: 9.41 / Avg: 9.43 / Max: 9.45Min: 11.69 / Avg: 11.75 / Max: 11.84Min: 12.71 / Avg: 12.74 / Max: 12.76Min: 4.78 / Avg: 4.83 / Max: 4.87Min: 4.86 / Avg: 4.89 / Max: 4.91. (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

ParaView

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

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2004006008001000SE +/- 6.12, N = 10SE +/- 0.57, N = 9SE +/- 2.34, N = 9SE +/- 9.64, N = 15SE +/- 2.97, N = 10825.22372.63381.47942.19969.13
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2004006008001000Min: 786.36 / Avg: 825.22 / Max: 848.01Min: 369.21 / Avg: 372.63 / Max: 374.54Min: 372.48 / Avg: 381.47 / Max: 393.5Min: 875.62 / Avg: 942.19 / Max: 982.59Min: 957.15 / Avg: 969.13 / Max: 980.95

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1428425670SE +/- 0.38, N = 10SE +/- 0.04, N = 9SE +/- 0.15, N = 9SE +/- 0.60, N = 15SE +/- 0.19, N = 1051.5823.2923.8458.8960.57
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1224364860Min: 49.15 / Avg: 51.58 / Max: 53Min: 23.08 / Avg: 23.29 / Max: 23.41Min: 23.28 / Avg: 23.84 / Max: 24.59Min: 54.73 / Avg: 58.89 / Max: 61.41Min: 59.82 / Avg: 60.57 / Max: 61.31

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.56, N = 3SE +/- 0.31, N = 12SE +/- 0.46, N = 3SE +/- 0.23, N = 3SE +/- 0.55, N = 372.3794.07103.2544.5840.20MIN: 69.84 / MAX: 95.03MIN: 86.98 / MAX: 166.48MIN: 94.8 / MAX: 150.28MIN: 41.67 / MAX: 82.43MIN: 38.3 / MAX: 105.771. (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-v3Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 71.28 / Avg: 72.37 / Max: 73.15Min: 92.31 / Avg: 94.07 / Max: 95.31Min: 102.75 / Avg: 103.25 / Max: 104.17Min: 44.13 / Avg: 44.58 / Max: 44.85Min: 39.11 / Avg: 40.2 / Max: 40.761. (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

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150SE +/- 0.75, N = 4SE +/- 0.67, N = 3SE +/- 0.88, N = 3SE +/- 1.00, N = 3575756109135-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: EnhancedCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150Min: 56 / Avg: 56.75 / Max: 59Min: 56 / Avg: 56.67 / Max: 58Min: 55 / Avg: 56.33 / Max: 58Min: 108 / Avg: 109 / Max: 1111. (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 MetricCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U15K30K45K60K75K3181229700290355086669692-lXi -luuid-luuid-lXi -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: ThoroughCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150SE +/- 0.77, N = 3SE +/- 0.68, N = 3SE +/- 0.76, N = 3SE +/- 0.75, N = 3SE +/- 0.60, N = 15100.05112.27112.2159.0847.211. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 98.5 / Avg: 100.05 / Max: 100.9Min: 110.91 / Avg: 112.27 / Max: 112.97Min: 110.68 / Avg: 112.21 / Max: 113.03Min: 57.71 / Avg: 59.08 / Max: 60.29Min: 39.76 / Avg: 47.21 / Max: 50.711. (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: mnasnetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 1510.8310.9811.065.204.80MIN: 10.5 / MAX: 14.28MIN: 10.41 / MAX: 14.8MIN: 10.43 / MAX: 14.77MIN: 4.9 / MAX: 11.7MIN: 4.4 / MAX: 6.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 10.79 / Avg: 10.83 / Max: 10.86Min: 10.82 / Avg: 10.98 / Max: 11.09Min: 11.01 / Avg: 11.06 / Max: 11.1Min: 5.18 / Avg: 5.2 / Max: 5.22Min: 4.61 / Avg: 4.8 / Max: 4.911. (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: OpenGLCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 319.611.311.722.626.0MAX: 24.9MAX: 14.2MAX: 14.8MAX: 29.5MAX: 33.5
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 19.6 / Avg: 19.63 / Max: 19.7Min: 11.3 / Avg: 11.33 / Max: 11.4Min: 11.7 / Avg: 11.73 / Max: 11.8Min: 22.5 / Avg: 22.6 / Max: 22.7Min: 25.9 / Avg: 25.97 / Max: 26

Basemark GPU

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

OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: HighCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 320.2110.7311.1522.5924.28MIN: 11.15 / MAX: 32.94MIN: 8.39 / MAX: 18.35MIN: 8.76 / MAX: 18.39MIN: 13.48 / MAX: 37.86MIN: 17.88 / MAX: 42.18
OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: HighCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 20.19 / Avg: 20.21 / Max: 20.22Min: 10.72 / Avg: 10.73 / Max: 10.74Min: 11.15 / Avg: 11.15 / Max: 11.15Min: 22.55 / Avg: 22.59 / Max: 22.63Min: 24.24 / Avg: 24.28 / Max: 24.35

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 1518.6823.9023.6911.7410.87MIN: 18.52 / MAX: 19.07MIN: 22.76 / MAX: 25.25MIN: 22.58 / MAX: 25.19MIN: 11.01 / MAX: 30MIN: 10.15 / MAX: 12.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 18.65 / Avg: 18.68 / Max: 18.71Min: 23.77 / Avg: 23.9 / Max: 24.11Min: 23.66 / Avg: 23.69 / Max: 23.71Min: 11.55 / Avg: 11.74 / Max: 11.9Min: 10.79 / Avg: 10.87 / Max: 11.011. (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: SqueezeNetV1.0Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620SE +/- 0.087, N = 3SE +/- 0.197, N = 12SE +/- 0.116, N = 3SE +/- 0.039, N = 3SE +/- 0.064, N = 312.32515.32917.6618.7458.041MIN: 11.75 / MAX: 33.89MIN: 9.88 / MAX: 53.47MIN: 15.48 / MAX: 53.9MIN: 7.71 / MAX: 26.5MIN: 7.69 / MAX: 21.661. (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: SqueezeNetV1.0Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620Min: 12.15 / Avg: 12.32 / Max: 12.43Min: 13.48 / Avg: 15.33 / Max: 15.76Min: 17.51 / Avg: 17.66 / Max: 17.89Min: 8.67 / Avg: 8.75 / Max: 8.79Min: 7.92 / Avg: 8.04 / Max: 8.121. (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 SceneCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U130260390520650SE +/- 0.69, N = 3SE +/- 1.63, N = 3SE +/- 0.67, N = 3SE +/- 1.96, N = 3SE +/- 1.03, N = 3538.41581.53578.08349.33266.651. (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 SceneCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U100200300400500Min: 537.08 / Avg: 538.41 / Max: 539.4Min: 578.86 / Avg: 581.53 / Max: 584.47Min: 576.96 / Avg: 578.08 / Max: 579.29Min: 345.83 / Avg: 349.32 / Max: 352.61Min: 264.67 / Avg: 266.65 / Max: 268.11. (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: MemorialCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1.13632.27263.40894.54525.6815SE +/- 0.06, N = 7SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 35.052.362.334.524.72
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810Min: 4.96 / Avg: 5.05 / Max: 5.38Min: 2.33 / Avg: 2.36 / Max: 2.4Min: 2.31 / Avg: 2.33 / Max: 2.37Min: 4.48 / Avg: 4.52 / Max: 4.57Min: 4.64 / Avg: 4.72 / Max: 4.79

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 1.20, N = 3787172125149-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-GaussianCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150Min: 77 / Avg: 78 / Max: 80Min: 70 / Avg: 71 / Max: 73Min: 71 / Avg: 72 / Max: 74Min: 123 / Avg: 124.67 / Max: 1271. (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 SpaceCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2004006008001000SE +/- 7.51, N = 3SE +/- 5.51, N = 3SE +/- 5.51, N = 3SE +/- 6.08, N = 3SE +/- 6.60, N = 15522425444806883-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 SpaceCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U150300450600750Min: 514 / Avg: 522 / Max: 537Min: 419 / Avg: 425 / Max: 436Min: 438 / Avg: 444 / Max: 455Min: 796 / Avg: 806 / Max: 817Min: 864 / Avg: 882.53 / Max: 9671. (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 SecondCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U40K80K120K160K200KSE +/- 1210.76, N = 8SE +/- 1055.98, N = 13SE +/- 985.37, N = 13SE +/- 1080.56, N = 3SE +/- 1035.33, N = 3114477.28103657.14100330.66167307.98208366.271. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U40K80K120K160K200KMin: 112990.36 / Avg: 114477.28 / Max: 122939.8Min: 102037.56 / Avg: 103657.14 / Max: 116253.72Min: 98789.82 / Avg: 100330.66 / Max: 112044.82Min: 165425.97 / Avg: 167307.98 / Max: 169168.96Min: 206358.42 / Avg: 208366.27 / Max: 209808.551. (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: MediumCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150SE +/- 1.48, N = 3SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3101.9854.4157.60105.98112.75MIN: 53.82 / MAX: 190.65MIN: 27.65 / MAX: 115.28MIN: 28.39 / MAX: 125.5MIN: 26.63 / MAX: 217.02MIN: 61.76 / MAX: 214.96
OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: MediumCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 100.3 / Avg: 101.98 / Max: 104.94Min: 54.23 / Avg: 54.41 / Max: 54.63Min: 57.29 / Avg: 57.6 / Max: 58.1Min: 105.62 / Avg: 105.98 / Max: 106.23Min: 112.67 / Avg: 112.75 / Max: 112.82

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U4080120160200SE +/- 0.85, N = 3SE +/- 0.60, N = 3SE +/- 0.49, N = 3SE +/- 0.59, N = 3SE +/- 0.05, N = 3153.45161.40162.2296.7780.311. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150Min: 151.76 / Avg: 153.45 / Max: 154.34Min: 160.21 / Avg: 161.4 / Max: 162.06Min: 161.27 / Avg: 162.22 / Max: 162.87Min: 95.59 / Avg: 96.77 / Max: 97.47Min: 80.22 / Avg: 80.31 / Max: 80.391. (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-tinyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1326395265SE +/- 0.26, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.67, N = 3SE +/- 0.15, N = 1542.0659.1058.3831.2429.49MIN: 32.77 / MAX: 50.54MIN: 49.11 / MAX: 93.79MIN: 47.6 / MAX: 95.03MIN: 26.82 / MAX: 54.28MIN: 22.61 / MAX: 46.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1224364860Min: 41.68 / Avg: 42.06 / Max: 42.55Min: 58.88 / Avg: 59.1 / Max: 59.33Min: 58.06 / Avg: 58.38 / Max: 58.93Min: 30.33 / Avg: 31.24 / Max: 32.54Min: 28.9 / Avg: 29.49 / Max: 30.631. (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: 200Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U40K80K120K160K200KSE +/- 798.33, N = 3SE +/- 583.86, N = 3SE +/- 537.36, N = 3SE +/- 633.99, N = 3SE +/- 336.86, N = 31299881893552092881131171054631. (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: 200Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U40K80K120K160K200KMin: 128400 / Avg: 129987.67 / Max: 130928Min: 188188 / Avg: 189355.33 / Max: 189965Min: 208279 / Avg: 209288 / Max: 210113Min: 111855 / Avg: 113116.67 / Max: 113857Min: 104824 / Avg: 105463.33 / Max: 1059671. (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 PrismCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U0.22280.44560.66840.89121.114SE +/- 0.00, N = 10SE +/- 0.00, N = 15SE +/- 0.00, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 30.510.500.500.820.99MIN: 0.46 / MAX: 0.83MIN: 0.46 / MAX: 0.79MIN: 0.45 / MAX: 0.81MIN: 0.78 / MAX: 0.93MIN: 0.96 / MAX: 1.12
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810Min: 0.5 / Avg: 0.51 / Max: 0.55Min: 0.49 / Avg: 0.5 / Max: 0.55Min: 0.49 / Avg: 0.5 / Max: 0.54Min: 0.81 / Avg: 0.82 / Max: 0.84Min: 0.99 / Avg: 0.99 / Max: 1

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U0.20030.40060.60090.80121.0015SE +/- 0.00, N = 8SE +/- 0.00, N = 13SE +/- 0.00, N = 12SE +/- 0.01, N = 3SE +/- 0.01, N = 50.460.450.450.730.89MIN: 0.42 / MAX: 0.69MIN: 0.42 / MAX: 0.67MIN: 0.41 / MAX: 0.68MIN: 0.7 / MAX: 0.8MIN: 0.84 / MAX: 1.03
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810Min: 0.45 / Avg: 0.46 / Max: 0.49Min: 0.44 / Avg: 0.45 / Max: 0.5Min: 0.44 / Avg: 0.45 / Max: 0.49Min: 0.72 / Avg: 0.73 / Max: 0.75Min: 0.87 / Avg: 0.89 / Max: 0.94

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U4080120160200SE +/- 0.26, N = 3SE +/- 0.86, N = 3SE +/- 0.80, N = 3SE +/- 0.86, N = 3SE +/- 0.48, N = 3180.69198.42199.14121.31100.74
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U4080120160200Min: 180.17 / Avg: 180.69 / Max: 180.99Min: 196.73 / Avg: 198.42 / Max: 199.49Min: 197.65 / Avg: 199.14 / Max: 200.41Min: 119.6 / Avg: 121.31 / Max: 122.27Min: 100.14 / Avg: 100.74 / Max: 101.7

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U70140210280350SE +/- 0.57, N = 3SE +/- 0.99, N = 3SE +/- 0.84, N = 3SE +/- 0.53, N = 3SE +/- 1.91, N = 3285.25314.89312.65200.77161.50
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U60120180240300Min: 284.68 / Avg: 285.25 / Max: 286.39Min: 313.84 / Avg: 314.89 / Max: 316.87Min: 311.54 / Avg: 312.65 / Max: 314.3Min: 199.98 / Avg: 200.77 / Max: 201.78Min: 159.52 / Avg: 161.5 / Max: 165.33

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 1516.5826.0225.7214.4913.49MIN: 14.8 / MAX: 17.05MIN: 25.58 / MAX: 26.39MIN: 25.18 / MAX: 26.21MIN: 14.11 / MAX: 33.77MIN: 13.07 / MAX: 15.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 16.55 / Avg: 16.58 / Max: 16.61Min: 26.01 / Avg: 26.02 / Max: 26.04Min: 25.6 / Avg: 25.72 / Max: 25.8Min: 14.46 / Avg: 14.49 / Max: 14.55Min: 13.45 / Avg: 13.49 / Max: 13.551. (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: 200Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U110K220K330K440K550KSE +/- 1081.93, N = 3SE +/- 849.96, N = 3SE +/- 2073.08, N = 3SE +/- 518.29, N = 3SE +/- 1809.88, N = 33425644756215161742954002744151. (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: 200Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U90K180K270K360K450KMin: 340405 / Avg: 342564 / Max: 343769Min: 474702 / Avg: 475621 / Max: 477319Min: 512253 / Avg: 516173.67 / Max: 519302Min: 294634 / Avg: 295400.33 / Max: 296388Min: 272238 / Avg: 274415 / Max: 2780081. (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 BenchmarkCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U918273645SE +/- 0.41, N = 3SE +/- 0.26, N = 3SE +/- 0.23, N = 3SE +/- 0.04, N = 3SE +/- 0.24, N = 325.2121.8422.1028.4440.591. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U816243240Min: 24.78 / Avg: 25.21 / Max: 26.04Min: 21.56 / Avg: 21.84 / Max: 22.36Min: 21.82 / Avg: 22.1 / Max: 22.56Min: 28.36 / Avg: 28.44 / Max: 28.49Min: 40.12 / Avg: 40.59 / Max: 40.891. (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 CompileCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U80160240320400SE +/- 1.92, N = 3SE +/- 1.30, N = 3SE +/- 2.39, N = 3SE +/- 1.31, N = 3SE +/- 1.90, N = 12352.19370.29372.89243.86203.27
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U70140210280350Min: 349.09 / Avg: 352.19 / Max: 355.69Min: 367.71 / Avg: 370.29 / Max: 371.77Min: 370.03 / Avg: 372.89 / Max: 377.63Min: 241.25 / Avg: 243.86 / Max: 245.39Min: 197.73 / Avg: 203.27 / Max: 218.43

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreCore i7 1065G7Core i7 8565URyzen 5 4500URyzen 7 4700U160320480640800465412676730

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.49, N = 3SE +/- 0.46, N = 3SE +/- 0.67, N = 4SE +/- 0.14, N = 3SE +/- 0.47, N = 377.1143.8149.5059.6773.31MIN: 1 / MAX: 351MIN: 1 / MAX: 179MIN: 1 / MAX: 197MIN: 1 / MAX: 212MIN: 1 / MAX: 246
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1530456075Min: 76.58 / Avg: 77.11 / Max: 78.08Min: 43.11 / Avg: 43.81 / Max: 44.67Min: 47.5 / Avg: 49.5 / Max: 50.42Min: 59.42 / Avg: 59.67 / Max: 59.92Min: 72.75 / Avg: 73.31 / Max: 74.25

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U510152025SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 321.512.414.516.018.9-llzma-llzma-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U510152025Min: 21.4 / Avg: 21.47 / Max: 21.6Min: 12.3 / Avg: 12.4 / Max: 12.5Min: 14.4 / Avg: 14.47 / Max: 14.5Min: 16 / Avg: 16.03 / Max: 16.1Min: 18.8 / Avg: 18.93 / Max: 191. (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: 1080pCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620SE +/- 0.117, N = 5SE +/- 0.089, N = 7SE +/- 0.109, N = 4SE +/- 0.100, N = 3SE +/- 0.010, N = 39.1408.1748.11910.61314.0631. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620Min: 9 / Avg: 9.14 / Max: 9.61Min: 8.07 / Avg: 8.17 / Max: 8.71Min: 8 / Avg: 8.12 / Max: 8.45Min: 10.46 / Avg: 10.61 / Max: 10.8Min: 14.05 / Avg: 14.06 / Max: 14.081. (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: vgg16Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.42, N = 3SE +/- 0.82, N = 1571.56123.56112.08109.85111.31MIN: 70.12 / MAX: 87.59MIN: 121.08 / MAX: 141.51MIN: 110.43 / MAX: 137.73MIN: 107.76 / MAX: 158.7MIN: 106.75 / MAX: 822.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 71.53 / Avg: 71.56 / Max: 71.59Min: 123.49 / Avg: 123.56 / Max: 123.61Min: 111.88 / Avg: 112.08 / Max: 112.42Min: 109.05 / Avg: 109.85 / Max: 110.48Min: 107.97 / Avg: 111.31 / Max: 117.751. (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 TestCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U6K12K18K24K30KSE +/- 249.42, N = 3SE +/- 193.49, N = 3SE +/- 146.51, N = 3SE +/- 304.64, N = 4SE +/- 127.92, N = 319534170301778622912287801. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U5K10K15K20K25KMin: 19162 / Avg: 19534.33 / Max: 20008Min: 16644 / Avg: 17030.33 / Max: 17243Min: 17637 / Avg: 17786 / Max: 18079Min: 22296 / Avg: 22912 / Max: 23745Min: 28527 / Avg: 28780.33 / Max: 289381. (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: mobilenetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430SE +/- 0.23, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.08, N = 1521.8527.3526.6218.1216.22MIN: 19.51 / MAX: 25.69MIN: 24.89 / MAX: 36.82MIN: 24.09 / MAX: 39.59MIN: 12.98 / MAX: 38.17MIN: 12.32 / MAX: 38.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 21.59 / Avg: 21.85 / Max: 22.3Min: 27.13 / Avg: 27.35 / Max: 27.48Min: 26.29 / Avg: 26.62 / Max: 26.94Min: 17.53 / Avg: 18.12 / Max: 18.64Min: 15.87 / Avg: 16.22 / Max: 17.141. (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: CrownCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1.08982.17963.26944.35925.449SE +/- 0.0275, N = 3SE +/- 0.0129, N = 3SE +/- 0.0239, N = 3SE +/- 0.0524, N = 4SE +/- 0.0636, N = 122.96282.96662.90883.80484.8435MIN: 2.89 / MAX: 4.76MIN: 2.9 / MAX: 4.48MIN: 2.84 / MAX: 4.67MIN: 3.7 / MAX: 4.39MIN: 4.64 / MAX: 5.84
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810Min: 2.93 / Avg: 2.96 / Max: 3.02Min: 2.95 / Avg: 2.97 / Max: 2.99Min: 2.88 / Avg: 2.91 / Max: 2.96Min: 3.74 / Avg: 3.8 / Max: 3.96Min: 4.68 / Avg: 4.84 / Max: 5.53

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U816243240SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.41, N = 3SE +/- 0.34, N = 3SE +/- 0.27, N = 1520.5733.4132.3222.8621.57MIN: 19.55 / MAX: 36.29MIN: 31.19 / MAX: 50.82MIN: 29.7 / MAX: 48.01MIN: 21.64 / MAX: 40.99MIN: 20.2 / MAX: 177.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835Min: 20.53 / Avg: 20.57 / Max: 20.63Min: 33.3 / Avg: 33.41 / Max: 33.49Min: 31.82 / Avg: 32.32 / Max: 33.14Min: 22.23 / Avg: 22.86 / Max: 23.41Min: 20.42 / Avg: 21.57 / Max: 25.081. (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 TimeCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U306090120150SE +/- 1.02, N = 3SE +/- 0.94, N = 3SE +/- 0.86, N = 3SE +/- 0.53, N = 3SE +/- 0.81, N = 9114.77129.63126.3587.3982.881. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 112.73 / Avg: 114.77 / Max: 115.79Min: 127.76 / Avg: 129.63 / Max: 130.58Min: 124.63 / Avg: 126.35 / Max: 127.21Min: 86.44 / Avg: 87.39 / Max: 88.26Min: 77.57 / Avg: 82.87 / Max: 84.531. 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: 8Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215SE +/- 0.096, N = 15SE +/- 0.075, N = 15SE +/- 0.098, N = 15SE +/- 0.006, N = 6SE +/- 0.078, N = 148.4299.5389.1486.9956.1471. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 7.3 / Avg: 8.43 / Max: 8.61Min: 8.56 / Avg: 9.54 / Max: 9.7Min: 8.05 / Avg: 9.15 / Max: 9.37Min: 6.98 / Avg: 7 / Max: 7.02Min: 5.8 / Avg: 6.15 / Max: 6.771. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810SE +/- 0.077, N = 15SE +/- 0.070, N = 5SE +/- 0.067, N = 15SE +/- 0.011, N = 6SE +/- 0.003, N = 77.4118.4108.1166.4055.4651. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 6.67 / Avg: 7.41 / Max: 7.57Min: 8.22 / Avg: 8.41 / Max: 8.66Min: 7.44 / Avg: 8.12 / Max: 8.27Min: 6.38 / Avg: 6.4 / Max: 6.45Min: 5.46 / Avg: 5.46 / Max: 5.481. (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: CPUCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.01, N = 3SE +/- 1.44, N = 3SE +/- 1.20, N = 3SE +/- 0.20, N = 3SE +/- 0.83, N = 366.5999.9991.8473.5176.84
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 66.58 / Avg: 66.59 / Max: 66.61Min: 98.45 / Avg: 99.99 / Max: 102.87Min: 90.59 / Avg: 91.84 / Max: 94.24Min: 73.2 / Avg: 73.51 / Max: 73.87Min: 75.94 / Avg: 76.84 / Max: 78.5

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835SE +/- 0.22, N = 9SE +/- 0.29, N = 5SE +/- 0.35, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 322.1421.6121.3930.5631.861. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835Min: 21.83 / Avg: 22.14 / Max: 23.86Min: 21.25 / Avg: 21.61 / Max: 22.76Min: 21.02 / Avg: 21.39 / Max: 22.09Min: 30.16 / Avg: 30.56 / Max: 30.93Min: 31.65 / Avg: 31.86 / Max: 32.071. (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 ScoreCore i7 1065G7Core i7 8565URyzen 5 4500URyzen 7 4700U30060090012001500103991912791367

Hugin

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

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.77, N = 3SE +/- 0.93, N = 3SE +/- 0.39, N = 3SE +/- 0.35, N = 3SE +/- 0.42, N = 379.1689.0287.1865.3860.29
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 77.74 / Avg: 79.16 / Max: 80.36Min: 87.18 / Avg: 89.02 / Max: 90.22Min: 86.41 / Avg: 87.18 / Max: 87.65Min: 64.72 / Avg: 65.38 / Max: 65.9Min: 59.64 / Avg: 60.29 / Max: 61.07

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.55, N = 13SE +/- 0.84, N = 4SE +/- 0.76, N = 5SE +/- 0.33, N = 3SE +/- 0.75, N = 1266.2861.6860.8177.5588.76MIN: 56.56 / MAX: 111.27MIN: 54.15 / MAX: 83.76MIN: 52.86 / MAX: 91.31MIN: 72.78 / MAX: 87.2MIN: 83.11 / MAX: 100.521. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 65.61 / Avg: 66.28 / Max: 72.9Min: 60.82 / Avg: 61.68 / Max: 64.21Min: 60 / Avg: 60.81 / Max: 63.87Min: 77.02 / Avg: 77.55 / Max: 78.15Min: 86.66 / Avg: 88.76 / Max: 94.511. (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: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.62, N = 3SE +/- 0.26, N = 3SE +/- 0.83, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 386.768.376.059.563.91. firefox 81.0
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1632486480Min: 85.8 / Avg: 86.7 / Max: 87.9Min: 67.9 / Avg: 68.33 / Max: 68.8Min: 74.8 / Avg: 76.03 / Max: 77.6Min: 59.2 / Avg: 59.53 / Max: 60Min: 63.8 / Avg: 63.9 / Max: 641. 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 v2Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U80160240320400SE +/- 0.51, N = 3SE +/- 3.91, N = 3SE +/- 4.27, N = 5SE +/- 0.64, N = 3SE +/- 0.44, N = 3336.74363.52350.88260.43250.25MIN: 334.76 / MAX: 344.76MIN: 356.37 / MAX: 408.86MIN: 335.85 / MAX: 379.13MIN: 256.19 / MAX: 303.4MIN: 246.2 / MAX: 356.511. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U60120180240300Min: 336.12 / Avg: 336.74 / Max: 337.75Min: 357.47 / Avg: 363.52 / Max: 370.85Min: 337.32 / Avg: 350.88 / Max: 360.55Min: 259.57 / Avg: 260.43 / Max: 261.68Min: 249.8 / Avg: 250.25 / Max: 251.141. (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: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U120240360480600SE +/- 0.75, N = 3SE +/- 0.93, N = 3SE +/- 1.13, N = 3SE +/- 2.17, N = 3SE +/- 1.04, N = 3417.1558.2537.7400.7384.31. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U100200300400500Min: 415.6 / Avg: 417.1 / Max: 417.9Min: 556.7 / Avg: 558.17 / Max: 559.9Min: 536.3 / Avg: 537.67 / Max: 539.9Min: 396.4 / Avg: 400.7 / Max: 403.3Min: 382.6 / Avg: 384.3 / Max: 386.21. 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 2020-06-28Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 325.7627.1526.0619.7718.871. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 25.66 / Avg: 25.76 / Max: 25.92Min: 27.03 / Avg: 27.15 / Max: 27.22Min: 25.82 / Avg: 26.06 / Max: 26.29Min: 19.74 / Avg: 19.77 / Max: 19.82Min: 18.83 / Avg: 18.87 / Max: 18.941. (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 SolverCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U10002000300040005000SE +/- 19.36, N = 3SE +/- 2.79, N = 3SE +/- 22.35, N = 3SE +/- 45.90, N = 3SE +/- 60.55, N = 34496.693143.893348.184155.744385.911. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U8001600240032004000Min: 4469.32 / Avg: 4496.69 / Max: 4534.1Min: 3140.16 / Avg: 3143.89 / Max: 3149.35Min: 3324.14 / Avg: 3348.18 / Max: 3392.83Min: 4092.73 / Avg: 4155.74 / Max: 4245.06Min: 4310.01 / Avg: 4385.91 / Max: 4505.571. (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: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.46, N = 3SE +/- 0.37, N = 3SE +/- 0.34, N = 388.6767.1775.8063.5162.101. firefox 81.0
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 88.5 / Avg: 88.67 / Max: 88.98Min: 67.02 / Avg: 67.17 / Max: 67.39Min: 75.2 / Avg: 75.8 / Max: 76.7Min: 63 / Avg: 63.51 / Max: 64.23Min: 61.4 / Avg: 62.07 / Max: 62.51. 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 5.2.0Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215SE +/- 0.041, N = 25SE +/- 0.070, N = 5SE +/- 0.084, N = 5SE +/- 0.094, N = 5SE +/- 0.087, N = 56.7819.6778.8258.9448.932
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 6.72 / Avg: 6.78 / Max: 7.76Min: 9.58 / Avg: 9.68 / Max: 9.95Min: 8.7 / Avg: 8.83 / Max: 9.16Min: 8.72 / Avg: 8.94 / Max: 9.25Min: 8.78 / Avg: 8.93 / Max: 9.19

SQLite Speedtest

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.39, N = 3SE +/- 0.88, N = 7SE +/- 0.20, N = 3SE +/- 1.00, N = 3SE +/- 0.18, N = 359.1684.4168.5774.7568.201. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1632486480Min: 58.37 / Avg: 59.16 / Max: 59.6Min: 81.64 / Avg: 84.4 / Max: 88.48Min: 68.18 / Avg: 68.57 / Max: 68.82Min: 73.26 / Avg: 74.75 / Max: 76.65Min: 67.85 / Avg: 68.2 / Max: 68.431. (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: resnet50Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1326395265SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.59, N = 3SE +/- 0.12, N = 1552.5458.7257.6749.9541.28MIN: 51.61 / MAX: 71.22MIN: 56.89 / MAX: 73.88MIN: 49.12 / MAX: 88.32MIN: 44.11 / MAX: 97.49MIN: 40.06 / MAX: 152.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1224364860Min: 52.52 / Avg: 52.54 / Max: 52.58Min: 58.71 / Avg: 58.72 / Max: 58.72Min: 57.63 / Avg: 57.67 / Max: 57.71Min: 49.05 / Avg: 49.95 / Max: 51.06Min: 40.91 / Avg: 41.28 / Max: 42.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1.05062.10123.15184.20245.253SE +/- 0.0530, N = 3SE +/- 0.0331, N = 3SE +/- 0.0210, N = 3SE +/- 0.0526, N = 3SE +/- 0.0067, N = 33.28693.38963.36613.62944.6692MIN: 3.1 / MAX: 5.53MIN: 3.28 / MAX: 5.02MIN: 3.28 / MAX: 5.29MIN: 3.5 / MAX: 4.16MIN: 4.62 / MAX: 4.89
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810Min: 3.19 / Avg: 3.29 / Max: 3.38Min: 3.34 / Avg: 3.39 / Max: 3.45Min: 3.34 / Avg: 3.37 / Max: 3.41Min: 3.53 / Avg: 3.63 / Max: 3.72Min: 4.66 / Avg: 4.67 / Max: 4.68

NeatBench

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

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215SE +/- 0.02, N = 7SE +/- 0.06, N = 15SE +/- 0.05, N = 7SE +/- 0.02, N = 8SE +/- 0.08, N = 710.207.197.958.157.69
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 10.2 / Avg: 10.24 / Max: 10.3Min: 6.79 / Avg: 7.19 / Max: 7.44Min: 7.78 / Avg: 7.95 / Max: 8.2Min: 8.05 / Avg: 8.15 / Max: 8.22Min: 7.22 / Avg: 7.69 / Max: 7.84

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: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3K6K9K12K15KSE +/- 46.36, N = 3SE +/- 11.02, N = 3SE +/- 140.32, N = 3SE +/- 122.05, N = 5SE +/- 61.24, N = 31192685449895979499711. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2K4K6K8K10KMin: 11870 / Avg: 11926 / Max: 12018Min: 8530 / Avg: 8544.33 / Max: 8566Min: 9743 / Avg: 9894.67 / Max: 10175Min: 9403 / Avg: 9793.8 / Max: 10115Min: 9875 / Avg: 9971.33 / Max: 100851. 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 v1.1Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U70140210280350SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.81, N = 3321.97336.63321.53256.24245.49MIN: 320.21 / MAX: 325.91MIN: 335.35 / MAX: 338.94MIN: 320.37 / MAX: 327.47MIN: 255.57 / MAX: 258.95MIN: 243.66 / MAX: 249.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U60120180240300Min: 321.83 / Avg: 321.97 / Max: 322.06Min: 336.4 / Avg: 336.63 / Max: 337.09Min: 321.43 / Avg: 321.53 / Max: 321.64Min: 256.17 / Avg: 256.24 / Max: 256.27Min: 244.68 / Avg: 245.49 / Max: 247.111. (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-b0Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 1516.7816.9216.6313.1812.40MIN: 16.45 / MAX: 18.83MIN: 15.9 / MAX: 21.25MIN: 15.74 / MAX: 21.11MIN: 12.74 / MAX: 14.05MIN: 11.73 / MAX: 13.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620Min: 16.75 / Avg: 16.78 / Max: 16.8Min: 16.89 / Avg: 16.92 / Max: 16.95Min: 16.53 / Avg: 16.63 / Max: 16.8Min: 13.12 / Avg: 13.18 / Max: 13.25Min: 12.24 / Avg: 12.4 / Max: 12.641. (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: ScaleCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810SE +/- 0.070, N = 15SE +/- 0.099, N = 5SE +/- 0.112, N = 5SE +/- 0.022, N = 6SE +/- 0.013, N = 67.8848.6788.7696.4986.443
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 7.2 / Avg: 7.88 / Max: 8.12Min: 8.44 / Avg: 8.68 / Max: 8.91Min: 8.5 / Avg: 8.77 / Max: 9Min: 6.47 / Avg: 6.5 / Max: 6.61Min: 6.4 / Avg: 6.44 / Max: 6.47

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.18, N = 3SE +/- 0.87, N = 3SE +/- 0.53, N = 3SE +/- 0.40, N = 3SE +/- 0.71, N = 395.0769.8779.4184.0484.101. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 94.73 / Avg: 95.07 / Max: 95.32Min: 68.4 / Avg: 69.87 / Max: 71.41Min: 78.42 / Avg: 79.41 / Max: 80.26Min: 83.24 / Avg: 84.04 / Max: 84.45Min: 82.94 / Avg: 84.1 / Max: 85.41. 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: squeezenetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 3SE +/- 0.30, N = 1521.7928.8128.3124.7221.19MIN: 21.06 / MAX: 24.84MIN: 28.01 / MAX: 35.05MIN: 27.77 / MAX: 30.7MIN: 20.74 / MAX: 50MIN: 18.18 / MAX: 45.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 21.72 / Avg: 21.79 / Max: 21.87Min: 28.73 / Avg: 28.81 / Max: 28.92Min: 28.23 / Avg: 28.31 / Max: 28.35Min: 24.39 / Avg: 24.72 / Max: 25.14Min: 20.09 / Avg: 21.19 / Max: 23.491. (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: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2004006008001000SE +/- 1.36, N = 3SE +/- 2.71, N = 3SE +/- 3.58, N = 3SE +/- 6.53, N = 3SE +/- 5.62, N = 3830.11094.6975.9892.3874.01. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2004006008001000Min: 828.5 / Avg: 830.1 / Max: 832.8Min: 1089.9 / Avg: 1094.6 / Max: 1099.3Min: 968.9 / Avg: 975.87 / Max: 980.8Min: 880.4 / Avg: 892.33 / Max: 902.9Min: 862.8 / Avg: 874.03 / Max: 880.11. firefox 81.0

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1326395265SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.31, N = 3SE +/- 0.13, N = 3SE +/- 0.28, N = 343.3356.9652.3047.6347.021. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1122334455Min: 43.14 / Avg: 43.33 / Max: 43.56Min: 56.7 / Avg: 56.96 / Max: 57.25Min: 51.92 / Avg: 52.3 / Max: 52.92Min: 47.42 / Avg: 47.63 / Max: 47.86Min: 46.7 / Avg: 47.02 / Max: 47.581. 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 CompressionCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1326395265SE +/- 0.68, N = 3SE +/- 0.36, N = 3SE +/- 0.54, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 348.6358.7556.5645.9344.961. (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 CompressionCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1224364860Min: 47.27 / Avg: 48.63 / Max: 49.33Min: 58.04 / Avg: 58.75 / Max: 59.21Min: 55.49 / Avg: 56.56 / Max: 57.13Min: 45.79 / Avg: 45.93 / Max: 46.08Min: 44.85 / Avg: 44.96 / Max: 45.111. (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: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U816243240SE +/- 0.33, N = 7SE +/- 0.46, N = 5SE +/- 0.28, N = 15SE +/- 0.03, N = 5SE +/- 0.10, N = 530.536.635.129.328.21. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U816243240Min: 29.4 / Avg: 30.53 / Max: 31.5Min: 34.8 / Avg: 36.64 / Max: 37.3Min: 32.8 / Avg: 35.05 / Max: 36.6Min: 29.2 / Avg: 29.3 / Max: 29.4Min: 27.9 / Avg: 28.18 / Max: 28.41. 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 TestCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U70140210280350SE +/- 1.61, N = 3SE +/- 0.67, N = 3SE +/- 1.62, N = 3SE +/- 1.28, N = 3SE +/- 1.14, N = 3328.95323.84319.88276.87253.88
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U60120180240300Min: 327.17 / Avg: 328.95 / Max: 332.17Min: 322.99 / Avg: 323.84 / Max: 325.17Min: 317.73 / Avg: 319.88 / Max: 323.05Min: 274.91 / Avg: 276.87 / Max: 279.28Min: 252.51 / Avg: 253.88 / Max: 256.15

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i7 1065G7Core i7 8550URyzen 5 4500URyzen 7 4700U80160240320400SE +/- 0.96, N = 3SE +/- 0.41, N = 3SE +/- 0.63, N = 3SE +/- 1.51, N = 3361.15302.43282.20284.65
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore i7 1065G7Core i7 8550URyzen 5 4500URyzen 7 4700U60120180240300Min: 359.29 / Avg: 361.15 / Max: 362.47Min: 301.71 / Avg: 302.43 / Max: 303.12Min: 281.2 / Avg: 282.2 / Max: 283.35Min: 281.73 / Avg: 284.65 / Max: 286.75

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2004006008001000SE +/- 10.15, N = 3SE +/- 5.04, N = 3SE +/- 1.33, N = 3SE +/- 1.33, N = 3SE +/- 0.88, N = 383710681011994949
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U2004006008001000Min: 824 / Avg: 837 / Max: 857Min: 1058 / Avg: 1067.67 / Max: 1075Min: 1008 / Avg: 1010.67 / Max: 1012Min: 991 / Avg: 993.67 / Max: 995Min: 948 / Avg: 949.33 / Max: 951

LibreOffice

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

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810SE +/- 0.052, N = 25SE +/- 0.062, N = 24SE +/- 0.045, N = 25SE +/- 0.050, N = 25SE +/- 0.076, N = 256.6538.3867.9407.9768.0971. LibreOffice 7.0.1.2 00(Build:2)
OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 6.53 / Avg: 6.65 / Max: 7.85Min: 8.17 / Avg: 8.39 / Max: 9.75Min: 7.75 / Avg: 7.94 / Max: 8.96Min: 7.87 / Avg: 7.98 / Max: 9.12Min: 7.83 / Avg: 8.1 / Max: 9.881. 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 ScoreCore i7 1065G7Core i7 8565URyzen 5 4500URyzen 7 4700U140280420560700574507603637

Selenium

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

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U400800120016002000SE +/- 1.00, N = 3SE +/- 16.35, N = 15SE +/- 22.23, N = 12SE +/- 8.17, N = 3SE +/- 3.61, N = 3150918931854176817511. firefox 81.0
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U30060090012001500Min: 1508 / Avg: 1509 / Max: 1511Min: 1739 / Avg: 1892.53 / Max: 1957Min: 1626 / Avg: 1854.33 / Max: 1941Min: 1759 / Avg: 1767.67 / Max: 1784Min: 1746 / Avg: 1751 / Max: 17581. 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 ImagesCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835SE +/- 0.03, N = 3SE +/- 0.40, N = 4SE +/- 0.40, N = 4SE +/- 0.04, N = 3SE +/- 0.04, N = 323.5229.0827.6425.6224.76
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 23.47 / Avg: 23.52 / Max: 23.56Min: 27.89 / Avg: 29.08 / Max: 29.53Min: 26.45 / Avg: 27.64 / Max: 28.09Min: 25.55 / Avg: 25.62 / Max: 25.7Min: 24.72 / Avg: 24.76 / Max: 24.83

Inkscape

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

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 322.7127.3024.9828.0427.981. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)
OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U612182430Min: 22.5 / Avg: 22.71 / Max: 23.1Min: 27.04 / Avg: 27.3 / Max: 27.65Min: 24.74 / Avg: 24.98 / Max: 25.25Min: 27.88 / Avg: 28.03 / Max: 28.22Min: 27.72 / Avg: 27.98 / Max: 28.291. 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: Pod2htmlCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U0.030.060.090.120.15SE +/- 0.00112827, N = 3SE +/- 0.00124185, N = 3SE +/- 0.00084094, N = 3SE +/- 0.00173692, N = 4SE +/- 0.00027824, N = 30.108343200.133307510.125657880.128382710.12284481
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U12345Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.13 / Avg: 0.13 / Max: 0.14Min: 0.12 / Avg: 0.13 / Max: 0.13Min: 0.12 / Avg: 0.13 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.12

Selenium

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

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U8K16K24K32K40KSE +/- 83.70, N = 3SE +/- 107.75, N = 3SE +/- 128.59, N = 3SE +/- 110.74, N = 3SE +/- 350.33, N = 635275286933136730445302681. firefox 81.0
OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U6K12K18K24K30KMin: 35141 / Avg: 35275.33 / Max: 35429Min: 28479 / Avg: 28693 / Max: 28822Min: 31181 / Avg: 31367.33 / Max: 31614Min: 30225 / Avg: 30444.67 / Max: 30579Min: 28681 / Avg: 30268 / Max: 311001. firefox 81.0

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U4080120160200SE +/- 0.05, N = 3SE +/- 0.38, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3202.57164.93180.27176.33183.271. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U4080120160200Min: 202.52 / Avg: 202.57 / Max: 202.67Min: 164.29 / Avg: 164.93 / Max: 165.61Min: 179.91 / Avg: 180.27 / Max: 180.6Min: 176.08 / Avg: 176.33 / Max: 176.6Min: 183.06 / Avg: 183.27 / Max: 183.581. 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 MP3Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215SE +/- 0.003, N = 6SE +/- 0.006, N = 5SE +/- 0.007, N = 5SE +/- 0.003, N = 6SE +/- 0.006, N = 67.9579.1168.6467.8137.428-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 MP3Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 7.94 / Avg: 7.96 / Max: 7.97Min: 9.1 / Avg: 9.12 / Max: 9.14Min: 8.62 / Avg: 8.65 / Max: 8.66Min: 7.8 / Avg: 7.81 / Max: 7.82Min: 7.41 / Avg: 7.43 / Max: 7.451. (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: CropCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215SE +/- 0.084, N = 15SE +/- 0.013, N = 5SE +/- 0.063, N = 5SE +/- 0.013, N = 5SE +/- 0.026, N = 59.90310.97110.9779.0698.954
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 9.41 / Avg: 9.9 / Max: 10.57Min: 10.93 / Avg: 10.97 / Max: 11Min: 10.84 / Avg: 10.98 / Max: 11.18Min: 9.04 / Avg: 9.07 / Max: 9.11Min: 8.9 / Avg: 8.95 / Max: 9.04

Perl Benchmarks

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U0.00020.00040.00060.00080.001SE +/- 0.00000280, N = 3SE +/- 0.00000353, N = 3SE +/- 0.00000418, N = 3SE +/- 0.00000580, N = 3SE +/- 0.00001548, N = 30.000925120.001064980.000919340.001058220.00110566
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U12345Min: 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, LosslessCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U510152025SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 318.6819.1717.9821.5321.591. (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, LosslessCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U510152025Min: 18.64 / Avg: 18.68 / Max: 18.69Min: 19.05 / Avg: 19.17 / Max: 19.33Min: 17.96 / Avg: 17.98 / Max: 18Min: 21.38 / Avg: 21.53 / Max: 21.75Min: 21.27 / Avg: 21.59 / Max: 21.931. (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 DegreesCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1122334455SE +/- 0.33, N = 3SE +/- 0.35, N = 3SE +/- 0.36, N = 3SE +/- 0.26, N = 3SE +/- 0.01, N = 345.9450.7550.0944.1342.36
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1020304050Min: 45.27 / Avg: 45.94 / Max: 46.33Min: 50.04 / Avg: 50.75 / Max: 51.1Min: 49.38 / Avg: 50.09 / Max: 50.57Min: 43.81 / Avg: 44.13 / Max: 44.64Min: 42.33 / Avg: 42.36 / Max: 42.38

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1122334455SE +/- 0.42, N = 3SE +/- 0.49, N = 3SE +/- 0.47, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 343.0748.1847.6141.8840.66
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1020304050Min: 42.24 / Avg: 43.07 / Max: 43.52Min: 47.21 / Avg: 48.18 / Max: 48.69Min: 46.67 / Avg: 47.61 / Max: 48.14Min: 41.84 / Avg: 41.88 / Max: 41.94Min: 40.56 / Avg: 40.66 / Max: 40.75

Dolfyn

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U510152025SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 318.6620.8320.7418.7717.94
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U510152025Min: 18.62 / Avg: 18.66 / Max: 18.69Min: 20.72 / Avg: 20.82 / Max: 21.03Min: 20.69 / Avg: 20.74 / Max: 20.79Min: 18.6 / Avg: 18.77 / Max: 19.02Min: 17.91 / Avg: 17.94 / Max: 17.97

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U0.59991.19981.79972.39962.9995SE +/- 0.001, N = 10SE +/- 0.002, N = 9SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.002, N = 102.4942.6662.5302.4242.3211. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810Min: 2.49 / Avg: 2.49 / Max: 2.5Min: 2.66 / Avg: 2.67 / Max: 2.67Min: 2.53 / Avg: 2.53 / Max: 2.54Min: 2.42 / Avg: 2.42 / Max: 2.43Min: 2.31 / Avg: 2.32 / Max: 2.331. (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 EnhanceCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1530456075SE +/- 0.04, N = 3SE +/- 0.30, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 362.4168.7966.8461.5760.16
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1326395265Min: 62.33 / Avg: 62.41 / Max: 62.45Min: 68.27 / Avg: 68.79 / Max: 69.31Min: 66.58 / Avg: 66.84 / Max: 66.99Min: 61.52 / Avg: 61.57 / Max: 61.62Min: 59.99 / Avg: 60.16 / Max: 60.38

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1632486480SE +/- 0.04, N = 3SE +/- 0.29, N = 3SE +/- 0.36, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 366.3873.6371.8466.1164.84
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1428425670Min: 66.29 / Avg: 66.37 / Max: 66.43Min: 73.04 / Avg: 73.63 / Max: 73.95Min: 71.18 / Avg: 71.84 / Max: 72.4Min: 66.03 / Avg: 66.11 / Max: 66.22Min: 64.71 / Avg: 64.84 / Max: 65.03

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U816243240SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.29, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 333.1036.2335.4733.0432.34
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U816243240Min: 33.04 / Avg: 33.1 / Max: 33.2Min: 35.87 / Avg: 36.23 / Max: 36.43Min: 34.91 / Avg: 35.47 / Max: 35.8Min: 32.91 / Avg: 33.04 / Max: 33.14Min: 32.25 / Avg: 32.33 / Max: 32.45

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810SE +/- 0.007, N = 6SE +/- 0.072, N = 6SE +/- 0.015, N = 6SE +/- 0.003, N = 6SE +/- 0.009, N = 67.4888.0887.5727.5687.2341. (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 CompressionCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 7.47 / Avg: 7.49 / Max: 7.51Min: 7.93 / Avg: 8.09 / Max: 8.32Min: 7.55 / Avg: 7.57 / Max: 7.64Min: 7.56 / Avg: 7.57 / Max: 7.58Min: 7.22 / Avg: 7.23 / Max: 7.271. (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 CommandsCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1326395265SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 352.4057.7355.2955.6153.561. git version 2.25.1
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1122334455Min: 52.38 / Avg: 52.4 / Max: 52.41Min: 57.59 / Avg: 57.73 / Max: 57.97Min: 55.16 / Avg: 55.29 / Max: 55.4Min: 55.52 / Avg: 55.61 / Max: 55.7Min: 53.48 / Avg: 53.56 / Max: 53.681. 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 SynthesisCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U816243240SE +/- 0.45, N = 4SE +/- 0.27, N = 4SE +/- 0.44, N = 5SE +/- 0.25, N = 20SE +/- 0.37, N = 2030.9831.3333.3133.1430.971. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835Min: 29.72 / Avg: 30.98 / Max: 31.82Min: 30.78 / Avg: 31.33 / Max: 31.97Min: 31.57 / Avg: 33.31 / Max: 33.92Min: 29.64 / Avg: 33.14 / Max: 34.44Min: 28.65 / Avg: 30.97 / Max: 35.471. (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 1065G753.070.899.0Core i7 8550U52.074.799.0Core i7 8565U50.074.4100.0Ryzen 7 4700U51.173.2105.8OpenBenchmarking.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 1065G7120023633899Core i7 8550U90024894000Ryzen 7 4700U39931504182OpenBenchmarking.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 1065G750.056.291.0Core i7 8550U48.055.786.0Core i7 8565U49.055.491.0Ryzen 7 4700U56.965.773.6OpenBenchmarking.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 1065G7110018573900Core i7 8550U86616324003Ryzen 7 4700U139719484182OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxCore i7 1065G753.070.094.0Core i7 8550U52.073.499.0Core i7 8565U52.072.1100.0Ryzen 7 4700U66.375.984.4OpenBenchmarking.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 1065G797424183900Core i7 8550U90025583998Ryzen 7 4700U139730974182OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

MinAvgMaxCore i7 1065G748.069.1100.0Core i7 8550U46.075.698.0Core i7 8565U46.072.799.0Ryzen 7 4700U41.875.893.0OpenBenchmarking.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 1065G7120121803899Core i7 8550U90025414001Ryzen 7 4700U139735374165OpenBenchmarking.orgMegahertz, More Is BetterDarktable 3.0.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 42 / Avg: 69.59 / Max: 100Min: 43 / Avg: 73.72 / Max: 100Min: 42 / Avg: 73.11 / Max: 100Min: 34.75 / Avg: 79.57 / Max: 104.13Min: 39 / Avg: 66.13 / Max: 103.38

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringCore i7 1065G7Core i7 8550URyzen 5 4500URyzen 7 4700U7001400210028003500Min: 846 / Avg: 2407.04 / Max: 3905Min: 700 / Avg: 2523.04 / Max: 4214Min: 1070 / Avg: 2996.15 / Max: 3994Min: 1397 / Avg: 3192.11 / Max: 4192

Selenium

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

MinAvgMaxCore i7 1065G794926343894Core i7 8550U80022793995Ryzen 5 4500U138126103986Ryzen 7 4700U139728884184OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U120240360480600SE +/- 2.86, N = 3SE +/- 3.65, N = 3SE +/- 1.16, N = 3SE +/- 1.96, N = 3SE +/- 8.76, N = 12549.84385.88407.56449.51491.301. firefox 81.0
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U100200300400500Min: 545.34 / Avg: 549.84 / Max: 555.15Min: 380.62 / Avg: 385.88 / Max: 392.89Min: 405.52 / Avg: 407.56 / Max: 409.53Min: 445.61 / Avg: 449.51 / Max: 451.73Min: 451.36 / Avg: 491.3 / Max: 542.521. firefox 81.0

ParaView

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

MinAvgMaxCore i7 1065G7110127393897Core i7 8550U80026164003Ryzen 5 4500U139725533986Ryzen 7 4700U139728374185OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U130260390520650SE +/- 0.27, N = 7SE +/- 0.12, N = 6SE +/- 0.20, N = 6SE +/- 8.56, N = 15SE +/- 1.69, N = 7421.00206.81212.22536.72598.67
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U110220330440550Min: 420.13 / Avg: 421 / Max: 421.98Min: 206.26 / Avg: 206.81 / Max: 207.1Min: 211.43 / Avg: 212.22 / Max: 212.62Min: 451.35 / Avg: 536.72 / Max: 565.37Min: 592.95 / Avg: 598.67 / Max: 603.64

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1326395265SE +/- 0.03, N = 7SE +/- 0.01, N = 6SE +/- 0.02, N = 6SE +/- 0.82, N = 15SE +/- 0.16, N = 740.4019.8420.3651.5057.44
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1122334455Min: 40.31 / Avg: 40.4 / Max: 40.49Min: 19.79 / Avg: 19.84 / Max: 19.87Min: 20.29 / Avg: 20.36 / Max: 20.4Min: 43.31 / Avg: 51.5 / Max: 54.25Min: 56.9 / Avg: 57.44 / Max: 57.92

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 DocumentCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.66, N = 3SE +/- 0.64, N = 3SE +/- 0.66, N = 3SE +/- 0.12, N = 3SE +/- 0.89, N = 1265.2879.6379.1744.6038.73
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1530456075Min: 63.97 / Avg: 65.28 / Max: 65.97Min: 78.36 / Avg: 79.63 / Max: 80.43Min: 77.84 / Avg: 79.17 / Max: 79.94Min: 44.42 / Avg: 44.6 / Max: 44.82Min: 33.92 / Avg: 38.73 / Max: 45.8

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620SE +/- 0.36, N = 3SE +/- 0.22, N = 3SE +/- 0.92, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 1511.7315.1913.906.345.89MIN: 10.88 / MAX: 14.69MIN: 11.82 / MAX: 15.91MIN: 9.61 / MAX: 15.93MIN: 5.92 / MAX: 23.58MIN: 5.31 / MAX: 7.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U48121620Min: 11.12 / Avg: 11.73 / Max: 12.35Min: 14.77 / Avg: 15.19 / Max: 15.48Min: 12.06 / Avg: 13.9 / Max: 14.87Min: 6.29 / Avg: 6.34 / Max: 6.4Min: 5.75 / Avg: 5.89 / Max: 5.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

MinAvgMaxCore i7 1065G7120122463500Core i7 8550U80124924000Ryzen 5 4500U139734383986Ryzen 7 4700U139735344183OpenBenchmarking.orgMegahertz, More Is BetterNCNN 20200916CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1224364860SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.46, N = 3SE +/- 0.73, N = 1543.7553.2952.2948.0643.61MIN: 41.77 / MAX: 57.97MIN: 51.6 / MAX: 68.68MIN: 50.64 / MAX: 76.11MIN: 44.99 / MAX: 83.21MIN: 39.8 / MAX: 402.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1122334455Min: 43.53 / Avg: 43.75 / Max: 44.01Min: 53.15 / Avg: 53.29 / Max: 53.38Min: 52.18 / Avg: 52.29 / Max: 52.52Min: 47.15 / Avg: 48.06 / Max: 48.65Min: 40.32 / Avg: 43.61 / Max: 48.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.47, N = 1522.5930.4729.8327.7923.21MIN: 20.34 / MAX: 44.74MIN: 29.25 / MAX: 47.69MIN: 27.42 / MAX: 49.41MIN: 25.64 / MAX: 56.64MIN: 21.3 / MAX: 224.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Core i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835Min: 22.54 / Avg: 22.59 / Max: 22.66Min: 30.41 / Avg: 30.47 / Max: 30.54Min: 29.73 / Avg: 29.83 / Max: 29.88Min: 27.5 / Avg: 27.79 / Max: 27.98Min: 21.52 / Avg: 23.21 / Max: 29.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U918273645SE +/- 0.22, N = 3SE +/- 0.06, N = 3SE +/- 0.29, N = 3SE +/- 0.38, N = 3SE +/- 0.49, N = 1533.2040.3839.6528.3826.60MIN: 31.71 / MAX: 48.84MIN: 39.34 / MAX: 58.32MIN: 38.4 / MAX: 62.44MIN: 25.72 / MAX: 63.08MIN: 24.68 / MAX: 356.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U816243240Min: 32.97 / Avg: 33.2 / Max: 33.65Min: 40.29 / Avg: 40.38 / Max: 40.49Min: 39.22 / Avg: 39.65 / Max: 40.2Min: 27.99 / Avg: 28.38 / Max: 29.14Min: 25.84 / Avg: 26.6 / Max: 33.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U816243240SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.23, N = 3SE +/- 0.65, N = 1528.1632.8533.5725.3124.11MIN: 27.28 / MAX: 48.41MIN: 28.8 / MAX: 53.22MIN: 32.22 / MAX: 53.63MIN: 22.86 / MAX: 63.78MIN: 21.23 / MAX: 564.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835Min: 28.03 / Avg: 28.16 / Max: 28.34Min: 32.77 / Avg: 32.85 / Max: 32.92Min: 33.46 / Avg: 33.57 / Max: 33.77Min: 24.89 / Avg: 25.31 / Max: 25.68Min: 21.76 / Avg: 24.11 / Max: 31.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LAMMPS Molecular Dynamics Simulator

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

MinAvgMaxCore i7 1065G7110122203545Core i7 8550U90023753705Ryzen 5 4500U139725783645Ryzen 7 4700U139727974148OpenBenchmarking.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 ProteinCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U1.30232.60463.90695.20926.5115SE +/- 0.086, N = 15SE +/- 0.047, N = 15SE +/- 0.063, N = 15SE +/- 0.013, N = 7SE +/- 0.011, N = 92.6412.1142.1134.0415.7881. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U246810Min: 2.29 / Avg: 2.64 / Max: 3.18Min: 2.01 / Avg: 2.11 / Max: 2.74Min: 1.98 / Avg: 2.11 / Max: 2.97Min: 3.99 / Avg: 4.04 / Max: 4.09Min: 5.72 / Avg: 5.79 / Max: 5.821. (CXX) g++ options: -O3 -pthread -lm

GraphicsMagick

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

MinAvgMaxCore i7 1065G7124322493500Core i7 8550U90024993700Ryzen 5 4500U139730433652Ryzen 7 4700U139729294040OpenBenchmarking.orgMegahertz, More Is BetterGraphicsMagick 1.3.33CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.15, N = 3SE +/- 1.59, N = 154127277294-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: SharpenCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U20406080100Min: 40 / Avg: 40.67 / Max: 42Min: 27 / Avg: 27.33 / Max: 28Min: 27 / Avg: 27.33 / Max: 28Min: 70 / Avg: 72 / Max: 74Min: 92 / Avg: 94.2 / Max: 1141. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

FFTE

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

MinAvgMaxCore i7 1065G7120120503848Core i7 8550U90020783700Ryzen 5 4500U139724623986Ryzen 7 4700U139723784086OpenBenchmarking.orgMegahertz, More Is BetterFFTE 7.0CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U5K10K15K20K25KSE +/- 865.95, N = 15SE +/- 414.87, N = 15SE +/- 506.08, N = 15SE +/- 121.01, N = 9SE +/- 128.06, N = 1021665.3915064.7215397.3522192.9725470.631. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U4K8K12K16K20KMin: 19169.86 / Avg: 21665.39 / Max: 26520.48Min: 14224.1 / Avg: 15064.72 / Max: 18692.5Min: 13030.49 / Avg: 15397.35 / Max: 19975.74Min: 21588 / Avg: 22192.97 / Max: 22630.93Min: 24430.01 / Avg: 25470.63 / Max: 25952.711. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

FLAC Audio Encoding

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

MinAvgMaxCore i7 1065G7106530623901Core i7 8550U90030854060Ryzen 5 4500U139731023986Ryzen 7 4700U139733464181OpenBenchmarking.orgMegahertz, More Is BetterFLAC Audio Encoding 1.3.2CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215SE +/- 0.229, N = 20SE +/- 0.023, N = 5SE +/- 0.068, N = 5SE +/- 0.012, N = 5SE +/- 0.097, N = 69.3719.5759.6178.6148.786-logg-logg1. (CXX) g++ options: -O2 -fvisibility=hidden -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U3691215Min: 8.87 / Avg: 9.37 / Max: 13.1Min: 9.52 / Avg: 9.58 / Max: 9.64Min: 9.43 / Avg: 9.62 / Max: 9.77Min: 8.58 / Avg: 8.61 / Max: 8.65Min: 8.52 / Avg: 8.79 / Max: 9.21. (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-onlyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U0.07290.14580.21870.29160.3645SE +/- 0.000, N = 13SE +/- 0.000, N = 12SE +/- 0.001, N = 12SE +/- 0.003, N = 15SE +/- 0.007, N = 150.2400.3240.2860.2670.246
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U12345Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.28 / Avg: 0.29 / Max: 0.29Min: 0.26 / Avg: 0.27 / Max: 0.3Min: 0.23 / Avg: 0.25 / Max: 0.34

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

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U510152025SE +/- 0.130, N = 15SE +/- 0.213, N = 9SE +/- 0.081, N = 15SE +/- 0.010, N = 6SE +/- 0.141, N = 158.03121.6229.6326.4205.478
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U510152025Min: 6.45 / Avg: 8.03 / Max: 8.27Min: 19.92 / Avg: 21.62 / Max: 21.92Min: 8.72 / Avg: 9.63 / Max: 9.82Min: 6.4 / Avg: 6.42 / Max: 6.47Min: 5.23 / Avg: 5.48 / Max: 7.34

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

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835SE +/- 0.33, N = 12SE +/- 0.21, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 317.0231.2423.2816.8415.72
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyCore i7 1065G7Core i7 8550UCore i7 8565URyzen 5 4500URyzen 7 4700U714212835Min: 13.39 / Avg: 17.02 / Max: 17.41Min: 30.82 / Avg: 31.24 / Max: 31.51Min: 22.96 / Avg: 23.27 / Max: 23.47Min: 16.72 / Avg: 16.84 / Max: 17.04Min: 15.5 / Avg: 15.72 / Max: 16.07

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