Intel Core i7 1165G7 Tigerlake Dell XPS 13 9310 Linux Benchmarks

Intel Tigerlake 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 2010165-FI-TIGERLAKE34
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  Test
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Core i7 8565U
October 06 2020
  10 Hours, 50 Minutes
Core i7 1065G7
October 03 2020
  9 Hours, 23 Minutes
Core i7 1165G7
October 15 2020
  8 Hours, 20 Minutes
Ryzen 5 4500U
October 02 2020
  7 Hours, 41 Minutes
Ryzen 7 4700U
October 03 2020
  13 Hours, 28 Minutes
Core i7 1165G7 - No Thermald
October 16 2020
  3 Hours, 22 Minutes
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  8 Hours, 51 Minutes

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Intel Core i7 1165G7 Tigerlake Dell XPS 13 9310 Linux BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No ThermaldIntel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)Dell 0KTW76 (1.0.0 BIOS)Intel Cannon Point-LP16GBPC401 NVMe SK hynix 256GBIntel UHD 620 3GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11acUbuntu 20.045.9.0-050900rc7daily20201004-generic (x86_64) 20201003GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.3.0-devel (git-2b977ad 2020-10-06 focal-oibaf-ppa)1.2.145GCC 9.3.0ext41920x1080Intel 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)1920x1200Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads)Dell 0GG9PT (1.0.1 BIOS)Intel Device a0efKIOXIA KBG40ZNS256G NVMe 256GBIntel Xe 3GB (1300MHz)Intel Device a0f05.9.0-050900rc8daily20201011-generic (x86_64) 202010104.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa)AMD Ryzen 5 4500U @ 2.38GHz (6 Cores)LENOVO LNVNB161216 (EECN20WW BIOS)AMD Renoir Root Complex256GB SKHynix_HFM256GDHTNI-87A0BAMD Renoir 512MB (1500/400MHz)AMD Device 1637Realtek RTL8822CE 802.11ac PCIe5.9.0-050900rc7daily20201002-generic (x86_64) 202010014.6 Mesa 20.3.0-devel (git-57b4f60 2020-10-02 focal-oibaf-ppa) (LLVM 10.0.1)1920x1080AMD Ryzen 7 4700U @ 2.00GHz (8 Cores)LENOVO LNVNB161216 (DTCN18WWV1.04 BIOS)512GB SAMSUNG MZALQ512HALU-000L2 + 4001GB 004-2CV104AMD Renoir 512MB (1600/400MHz)Intel Wi-Fi 6 AX2005.9.0-050900rc7daily20201003-generic (x86_64) 202010024.6 Mesa 20.3.0-devel (git-3b3a3af 2020-10-03 focal-oibaf-ppa) (LLVM 10.0.1)Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads)Dell 0GG9PT (1.0.1 BIOS)Intel Device a0efKIOXIA KBG40ZNS256G NVMe 256GBIntel Xe 3GB (1300MHz)Realtek ALC289Intel Device a0f05.9.0-050900rc8daily20201011-generic (x86_64) 202010104.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa)1920x1200OpenBenchmarking.orgCompiler Details- Core i7 8565U: --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 - Core i7 1065G7: --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 - Core i7 1165G7: --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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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 - Ryzen 5 4500U: --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 - Ryzen 7 4700U: --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 - Core i7 1165G7 - No Thermald: --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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,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- Core i7 8565U: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6- Core i7 1065G7: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78- Core i7 1165G7: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52- Ryzen 5 4500U: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8600102- Ryzen 7 4700U: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8600102- Core i7 1165G7 - No Thermald: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52Python Details- Core i7 8565U: Python 3.8.2- Core i7 1065G7: Python 3.8.2- Core i7 1165G7: Python 3.8.5- Ryzen 5 4500U: Python 3.8.2- Ryzen 7 4700U: Python 3.8.2- Core i7 1165G7 - No Thermald: Python 3.8.5Security Details- 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- 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- Core i7 1165G7: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- 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- 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 1165G7 - No Thermald: 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No ThermaldResult OverviewPhoronix Test Suite100%170%241%311%382%ctx_clockCaffeBasemark GPUUnigine SuperpositionBRL-CADASTC EncoderCoremarklibavif avifencTimed FFmpeg CompilationTimed Linux Kernel CompilationBuild2Darktable7-Zip CompressionAI Benchmark Alphadav1d

Intel Core i7 1165G7 Tigerlake Dell XPS 13 9310 Linux Benchmarksncnn: Vulkan GPU - shufflenet-v2ctx-clock: Context Switch Timencnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - resnet18tensorflow-lite: Inception V4tensorflow-lite: Inception ResNet V2mnn: resnet-v2-50tensorflow-lite: NASNet Mobilebasemark: Vulkan - 1920 x 1080 - Mediumtensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quantoidn: Memorialtensorflow-lite: SqueezeNetunigine-super: 1920 x 1080 - Fullscreen - Low - OpenGLgraphics-magick: Resizingmnn: mobilenet-v1-1.0ncnn: Vulkan GPU - alexnetbasemark: Vulkan - 1920 x 1080 - Highmnn: inception-v3graphics-magick: Enhancedbrl-cad: VGR Performance Metricastcenc: Thoroughncnn: Vulkan GPU - mnasnetmnn: SqueezeNetV1.0ncnn: Vulkan GPU - googlenetyafaray: Total Time For Sample Scenecoremark: CoreMark Size 666 - Iterations Per Secondgraphics-magick: Noise-Gaussianavifenc: 2graphics-magick: HWB Color Spacecaffe: AlexNet - CPU - 200luxcorerender: Rainbow Colors and Prismluxcorerender: DLSCbuild-ffmpeg: Time To Compilebuild-linux-kernel: Time To Compilecaffe: GoogleNet - CPU - 200darktable: Boat - CPU-onlylibraw: Post-Processing Benchmarkbuild2: Time To Compilencnn: CPU - alexnetncnn: Vulkan GPU - squeezenetai-benchmark: Device Inference Scoredarktable: Server Room - CPU-onlyncnn: CPU - vgg16svt-av1: Enc Mode 8 - 1080popenvkl: vklBenchmarkembree: Pathtracer - Crowndarktable: Masskrug - CPU-onlyncnn: Vulkan GPU - mobilenetcompress-7zip: Compress Speed Testrawtherapee: Total Benchmark Timex265: H.265 1080p Video Encodingai-benchmark: Device AI Scoreembree: Pathtracer ISPC - Crowndav1d: Summer Nature 4Kselenium: StyleBench - Firefoxncnn: Vulkan GPU - efficientnet-b0hugin: Panorama Photo Assistant + Stitching Timeselenium: Speedometer - Firefoxncnn: CPU - resnet50neatbench: CPUencode-mp3: WAV To MP3ai-benchmark: Device Training Scoreselenium: Jetstream 2 - Firefoxwireguard: gegl: Antialiasespeak: Text-To-Speech Synthesisgegl: Cropwebp: Quality 100, Lossless, Highest Compressionselenium: PSPDFKit WASM - Firefoxselenium: Kraken - Firefoxselenium: CanvasMark - Firefoxselenium: Basemark - Firefoxparaview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080ocrmypdf: Processing 60 Page PDF Documentncnn: CPU - yolov4-tinyncnn: CPU - resnet18ncnn: CPU - mobilenetncnn: CPU - squeezenetlammps: Rhodopsin Proteingraphics-magick: Sharpenffte: N=256, 3D Complex FFT Routineencode-flac: WAV To FLACCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald15.77325152.8251.6523.8810502233948247791.79853823257.604846204885922.3370906511.727012.73825.7211.15103.2495629035112.2111.0617.66123.69578.076100330.66225372162.2214442092880.500.45199.144312.65351617423.27522.10372.88832.3228.314129.632112.088.11949.502.908813.38726.6217786126.34721.399193.366160.8176.016.6387.18375.857.677.958.64650779.411319.88047.61233.31010.97756.5641854975.99895407.56381.47123.84212.22220.3679.16652.2929.8339.6533.572.1132715397.3539549389.61710.668595.9035.8217.119170150830380059.027455216101.984229844219635.0562606419.62809.43316.5820.2172.3735731812100.0510.8312.32518.68538.414114477.27930978153.4495221299880.510.46180.686285.25134256417.01525.21352.19220.5721.794658.03171.569.14077.112.962811.29121.8519534114.77322.1410393.286966.2886.716.7879.16088.6752.5410.27.95757495.073328.94743.07330.9769.90348.6331509830.111926549.84825.22451.58421.00340.4065.27843.7522.5933.2028.162.6414121665.3919288489.3717.9720240.7115.499.248031840726392047.563393680161.823691633665186.4854773630.63797.2319.9128.3358.712694322776.168.569.56811.30406.490135435.16836394121.9695841541860.640.59134.320209.91539351312.64427.98263.87618.0815.876287.24963.9512.10784.253.91729.94219.8921789101.74128.2213154.830079.6467.811.5276.18574.644.3410.610.10968771.518278.23951.72839.38711.28548.72018741020.410811453.761013.98963.37623.64159.8553.93240.4719.1830.8226.552.8285123401.37440934211.0324.1311862.0419.028.834793913433229032.106261175105.982217972267734.5233417122.65764.83114.4922.5944.5811095086659.085.208.74511.74349.325167307.98001412596.7688061131170.820.73121.308200.77229540016.83828.44243.86022.8624.726766.420109.8510.61359.673.80489.81718.122291287.38830.5612793.629477.5559.513.1865.38163.5149.958.157.81360384.037276.87041.87833.1409.06945.9261768892.39794449.51942.19158.89536.71951.5044.60448.0627.7928.3825.314.0417222192.9702472238.6143.8810057.8516.677.903661980331190733.157189137112.751721901749964.7225728826.07144.88613.4924.2840.2011356969247.214.808.04110.87266.651208366.26815514980.3058831054630.990.89100.741161.49927441515.71840.59203.26821.5721.197305.478111.3114.06373.314.84358.10016.222878082.87531.8613674.669288.7663.912.4060.28662.141.287.697.42863784.095253.87640.66230.9688.95444.9561751874.09971491.30969.12760.57598.66757.4438.72743.6123.2126.6024.115.7889425470.6282118558.786201163.7631.028.803632282.49135363.918870134.318169667150.969234.73243343314.325285.6485467.2469.91721940118077.24634OpenBenchmarking.org

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U48121620SE +/- 0.07, N = 3SE +/- 0.35, N = 3SE +/- 0.07, N = 5SE +/- 0.03, N = 3SE +/- 0.03, N = 1515.7710.667.974.133.88MIN: 13.17 / MAX: 16.01MIN: 10.08 / MAX: 12.18MIN: 7.44 / MAX: 11.14MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U48121620Min: 15.69 / Avg: 15.77 / Max: 15.91Min: 10.29 / Avg: 10.66 / Max: 11.36Min: 7.78 / Avg: 7.97 / Max: 8.2Min: 4.09 / Avg: 4.13 / Max: 4.18Min: 3.61 / Avg: 3.88 / Max: 41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald70140210280350SE +/- 0.55, N = 11SE +/- 0.27, N = 13SE +/- 0.35, N = 13SE +/- 1.45, N = 332585202118100201
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald60120180240300Min: 321 / Avg: 325.09 / Max: 326Min: 84 / Avg: 85.38 / Max: 86Min: 200 / Avg: 201.69 / Max: 203Min: 198 / Avg: 200.67 / Max: 203

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U306090120150SE +/- 0.27, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 5SE +/- 0.27, N = 3SE +/- 0.07, N = 15152.8295.9040.7162.0457.85MIN: 151.45 / MAX: 154.04MIN: 93.54 / MAX: 96.72MIN: 39.33 / MAX: 41.14MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U306090120150Min: 152.29 / Avg: 152.82 / Max: 153.1Min: 95.85 / Avg: 95.9 / Max: 95.93Min: 40.66 / Avg: 40.71 / Max: 40.77Min: 61.5 / Avg: 62.04 / Max: 62.35Min: 57.49 / Avg: 57.85 / Max: 58.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1224364860SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 5SE +/- 0.01, N = 3SE +/- 0.02, N = 1551.6535.8215.4919.0216.67MIN: 50.49 / MAX: 52.95MIN: 35.58 / MAX: 36.17MIN: 15.31 / MAX: 15.85MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1020304050Min: 51.59 / Avg: 51.65 / Max: 51.69Min: 35.77 / Avg: 35.82 / Max: 35.85Min: 15.46 / Avg: 15.49 / Max: 15.55Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 5SE +/- 0.01, N = 3SE +/- 0.01, N = 1523.8817.119.248.837.90MIN: 23.34 / MAX: 24.42MIN: 16.81 / MAX: 17.39MIN: 8.07 / MAX: 10.35MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U612182430Min: 23.86 / Avg: 23.88 / Max: 23.9Min: 17.05 / Avg: 17.11 / Max: 17.17Min: 8.69 / Avg: 9.24 / Max: 9.73Min: 8.81 / Avg: 8.83 / Max: 8.85Min: 7.84 / Avg: 7.9 / Max: 7.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U2M4M6M8M10MSE +/- 2531.36, N = 3SE +/- 16982.47, N = 3SE +/- 47815.96, N = 3SE +/- 22097.79, N = 3SE +/- 5339.55, N = 3105022339170150803184047939133661980
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U2M4M6M8M10MMin: 10498900 / Avg: 10502233.33 / Max: 10507200Min: 9137230 / Avg: 9170150 / Max: 9193850Min: 7937030 / Avg: 8031840 / Max: 8090080Min: 4750340 / Avg: 4793913.33 / Max: 4822100Min: 3651830 / Avg: 3661980 / Max: 3669930

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U2M4M6M8M10MSE +/- 2753.67, N = 3SE +/- 21082.23, N = 3SE +/- 33311.56, N = 3SE +/- 21501.76, N = 3SE +/- 2809.26, N = 394824778303800726392043322903311907
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1.6M3.2M4.8M6.4M8MMin: 9477230 / Avg: 9482476.67 / Max: 9486550Min: 8261720 / Avg: 8303800 / Max: 8327150Min: 7197310 / Avg: 7263920 / Max: 7298370Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100SE +/- 0.04, N = 3SE +/- 0.35, N = 3SE +/- 0.30, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 391.8059.0347.5632.1133.16MIN: 87.72 / MAX: 176.73MIN: 56.05 / MAX: 82.31MIN: 46.44 / MAX: 67MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100Min: 91.73 / Avg: 91.8 / Max: 91.87Min: 58.32 / Avg: 59.03 / Max: 59.39Min: 46.97 / Avg: 47.56 / Max: 47.88Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U120K240K360K480K600KSE +/- 6872.55, N = 3SE +/- 6073.35, N = 3SE +/- 4527.47, N = 3SE +/- 909.74, N = 3SE +/- 1038.73, N = 3538232455216393680261175189137
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U90K180K270K360K450KMin: 524488 / Avg: 538232 / Max: 545254Min: 443073 / Avg: 455216.33 / Max: 461536Min: 384628 / Avg: 393680 / Max: 398406Min: 259585 / Avg: 261175.33 / Max: 262736Min: 187099 / Avg: 189137.33 / Max: 190504

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald4080120160200SE +/- 0.25, N = 3SE +/- 1.48, N = 3SE +/- 2.03, N = 3SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.70, N = 357.60101.98161.82105.98112.75163.76MIN: 28.39 / MAX: 125.5MIN: 53.82 / MAX: 190.65MIN: 80.76 / MAX: 310.94MIN: 26.63 / MAX: 217.02MIN: 61.76 / MAX: 214.96MIN: 80.42 / MAX: 305.13
OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: MediumCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald306090120150Min: 57.29 / Avg: 57.6 / Max: 58.1Min: 100.3 / Avg: 101.98 / Max: 104.94Min: 158.1 / Avg: 161.82 / Max: 165.07Min: 105.62 / Avg: 105.98 / Max: 106.23Min: 112.67 / Avg: 112.75 / Max: 112.82Min: 162.39 / Avg: 163.76 / Max: 164.72

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U100K200K300K400K500KSE +/- 5979.89, N = 3SE +/- 5701.34, N = 3SE +/- 3879.89, N = 3SE +/- 2082.31, N = 3SE +/- 604.62, N = 3484620422984369163221797172190
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U80K160K240K320K400KMin: 472660 / Avg: 484619.67 / Max: 490644Min: 411581 / Avg: 422983.67 / Max: 428694Min: 361413 / Avg: 369163.33 / Max: 373370Min: 217646 / Avg: 221796.67 / Max: 224167Min: 170982 / Avg: 172189.67 / Max: 172847

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U100K200K300K400K500KSE +/- 6021.80, N = 3SE +/- 5726.85, N = 3SE +/- 2992.33, N = 3SE +/- 2233.04, N = 3SE +/- 132.95, N = 3488592421963366518226773174996
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U80K160K240K320K400KMin: 476549 / Avg: 488592 / Max: 494718Min: 410509 / Avg: 421962.67 / Max: 427713Min: 360539 / Avg: 366518 / Max: 369733Min: 222367 / Avg: 226773.33 / Max: 229607Min: 174749 / Avg: 174995.67 / Max: 175205

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U246810SE +/- 0.02, N = 3SE +/- 0.06, N = 7SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 32.335.056.484.524.72
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215Min: 2.31 / Avg: 2.33 / Max: 2.37Min: 4.96 / Avg: 5.05 / Max: 5.38Min: 6.41 / Avg: 6.48 / Max: 6.58Min: 4.48 / Avg: 4.52 / Max: 4.57Min: 4.64 / Avg: 4.72 / Max: 4.79

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U150K300K450K600K750KSE +/- 8757.43, N = 3SE +/- 8228.71, N = 3SE +/- 6372.13, N = 3SE +/- 3146.34, N = 3SE +/- 452.41, N = 3709065626064547736334171257288
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U120K240K360K480K600KMin: 691550 / Avg: 709064.67 / Max: 717893Min: 609607 / Avg: 626063.67 / Max: 634429Min: 535011 / Avg: 547736 / Max: 554705Min: 327947 / Avg: 334171 / Max: 338086Min: 256555 / Avg: 257288.33 / Max: 258114

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 311.719.630.622.626.031.0MAX: 14.8MAX: 24.9MAX: 40MAX: 29.5MAX: 33.5MAX: 39.9
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald714212835Min: 11.7 / Avg: 11.73 / Max: 11.8Min: 19.6 / Avg: 19.63 / Max: 19.7Min: 30.5 / Avg: 30.6 / Max: 30.7Min: 22.5 / Avg: 22.6 / Max: 22.7Min: 25.9 / Avg: 25.97 / Max: 26Min: 30.9 / Avg: 30.97 / Max: 31.1

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U150300450600750SE +/- 3.51, N = 3SE +/- 4.18, N = 3SE +/- 4.70, N = 3SE +/- 5.46, N = 3270280379576714-lwebp -lwebpmux -lbz2-lwebp -lwebpmux-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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U130260390520650Min: 266 / Avg: 270 / Max: 277Min: 275 / Avg: 279.67 / Max: 288Min: 373 / Avg: 378.67 / Max: 388Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215SE +/- 0.014, N = 3SE +/- 0.013, N = 3SE +/- 0.011, N = 3SE +/- 0.029, N = 3SE +/- 0.015, N = 312.7389.4337.2314.8314.886MIN: 12 / MAX: 55.1MIN: 8.89 / MAX: 15.49MIN: 7.15 / MAX: 26.13MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U48121620Min: 12.71 / Avg: 12.74 / Max: 12.76Min: 9.41 / Avg: 9.43 / Max: 9.45Min: 7.21 / Avg: 7.23 / Max: 7.25Min: 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

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U612182430SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 5SE +/- 0.03, N = 3SE +/- 0.01, N = 1525.7216.589.9114.4913.49MIN: 25.18 / MAX: 26.21MIN: 14.8 / MAX: 17.05MIN: 9.65 / MAX: 11.86MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U612182430Min: 25.6 / Avg: 25.72 / Max: 25.8Min: 16.55 / Avg: 16.58 / Max: 16.61Min: 9.87 / Avg: 9.91 / Max: 9.95Min: 14.46 / Avg: 14.49 / Max: 14.55Min: 13.45 / Avg: 13.49 / Max: 13.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald714212835SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 311.1520.2128.3322.5924.2828.80MIN: 8.76 / MAX: 18.39MIN: 11.15 / MAX: 32.94MIN: 18.62 / MAX: 63.95MIN: 13.48 / MAX: 37.86MIN: 17.88 / MAX: 42.18MIN: 20.84 / MAX: 65.84
OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: HighCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald612182430Min: 11.15 / Avg: 11.15 / Max: 11.15Min: 20.19 / Avg: 20.21 / Max: 20.22Min: 28.25 / Avg: 28.33 / Max: 28.38Min: 22.55 / Avg: 22.59 / Max: 22.63Min: 24.24 / Avg: 24.28 / Max: 24.35Min: 28.71 / Avg: 28.8 / Max: 28.86

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100SE +/- 0.46, N = 3SE +/- 0.56, N = 3SE +/- 0.54, N = 3SE +/- 0.23, N = 3SE +/- 0.55, N = 3103.2572.3758.7144.5840.20MIN: 94.8 / MAX: 150.28MIN: 69.84 / MAX: 95.03MIN: 53.05 / MAX: 85.43MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100Min: 102.75 / Avg: 103.25 / Max: 104.17Min: 71.28 / Avg: 72.37 / Max: 73.15Min: 57.64 / Avg: 58.71 / Max: 59.4Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U306090120150SE +/- 0.88, N = 3SE +/- 0.75, N = 4SE +/- 0.67, N = 3SE +/- 1.00, N = 3565769109135-lwebp -lwebpmux -lbz2-lwebp -lwebpmux-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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U306090120150Min: 55 / Avg: 56.33 / Max: 58Min: 56 / Avg: 56.75 / Max: 59Min: 68 / Avg: 68.67 / Max: 70Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald15K30K45K60K75K290353181243227508666969236322-lXi -luuid-lXi -luuid-lXi -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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald306090120150SE +/- 0.76, N = 3SE +/- 0.77, N = 3SE +/- 0.81, N = 3SE +/- 0.75, N = 3SE +/- 0.60, N = 15SE +/- 1.09, N = 4112.21100.0576.1659.0847.2182.491. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald20406080100Min: 110.68 / Avg: 112.21 / Max: 113.03Min: 98.5 / Avg: 100.05 / Max: 100.9Min: 74.55 / Avg: 76.16 / Max: 77.01Min: 57.71 / Avg: 59.08 / Max: 60.29Min: 39.76 / Avg: 47.21 / Max: 50.71Min: 79.22 / Avg: 82.49 / Max: 83.681. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 5SE +/- 0.01, N = 3SE +/- 0.02, N = 1511.0610.838.565.204.80MIN: 10.43 / MAX: 14.77MIN: 10.5 / MAX: 14.28MIN: 7.91 / MAX: 12.65MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215Min: 11.01 / Avg: 11.06 / Max: 11.1Min: 10.79 / Avg: 10.83 / Max: 10.86Min: 8.43 / Avg: 8.56 / Max: 8.81Min: 5.18 / Avg: 5.2 / Max: 5.22Min: 4.61 / Avg: 4.8 / Max: 4.911. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U48121620SE +/- 0.116, N = 3SE +/- 0.087, N = 3SE +/- 0.065, N = 3SE +/- 0.039, N = 3SE +/- 0.064, N = 317.66112.3259.5688.7458.041MIN: 15.48 / MAX: 53.9MIN: 11.75 / MAX: 33.89MIN: 9.32 / MAX: 29.19MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U48121620Min: 17.51 / Avg: 17.66 / Max: 17.89Min: 12.15 / Avg: 12.32 / Max: 12.43Min: 9.44 / Avg: 9.57 / Max: 9.63Min: 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

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 5SE +/- 0.10, N = 3SE +/- 0.01, N = 1523.6918.6811.3011.7410.87MIN: 22.58 / MAX: 25.19MIN: 18.52 / MAX: 19.07MIN: 10.73 / MAX: 15.29MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U612182430Min: 23.66 / Avg: 23.69 / Max: 23.71Min: 18.65 / Avg: 18.68 / Max: 18.71Min: 11.21 / Avg: 11.3 / Max: 11.49Min: 11.55 / Avg: 11.74 / Max: 11.9Min: 10.79 / Avg: 10.87 / Max: 11.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U120240360480600SE +/- 0.67, N = 3SE +/- 0.69, N = 3SE +/- 0.95, N = 3SE +/- 1.96, N = 3SE +/- 1.03, N = 3578.08538.41406.49349.33266.651. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U100200300400500Min: 576.96 / Avg: 578.08 / Max: 579.29Min: 537.08 / Avg: 538.41 / Max: 539.4Min: 404.64 / Avg: 406.49 / Max: 407.79Min: 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

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald40K80K120K160K200KSE +/- 985.37, N = 13SE +/- 1210.76, N = 8SE +/- 75.02, N = 3SE +/- 1080.56, N = 3SE +/- 1035.33, N = 3SE +/- 93.35, N = 3100330.66114477.28135435.17167307.98208366.27135363.921. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald40K80K120K160K200KMin: 98789.82 / Avg: 100330.66 / Max: 112044.82Min: 112990.36 / Avg: 114477.28 / Max: 122939.8Min: 135287.49 / Avg: 135435.17 / Max: 135531.96Min: 165425.97 / Avg: 167307.98 / Max: 169168.96Min: 206358.42 / Avg: 208366.27 / Max: 209808.55Min: 135241.74 / Avg: 135363.92 / Max: 135547.271. (CC) gcc options: -O2 -lrt" -lrt

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U306090120150SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 1.33, N = 3SE +/- 1.20, N = 3727894125149-lwebp -lwebpmux -lbz2-lwebp -lwebpmux-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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U306090120150Min: 71 / Avg: 72 / Max: 74Min: 77 / Avg: 78 / Max: 80Min: 93 / Avg: 94.33 / Max: 97Min: 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

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald4080120160200SE +/- 0.49, N = 3SE +/- 0.85, N = 3SE +/- 0.29, N = 3SE +/- 0.59, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3162.22153.45121.9796.7780.31134.321. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald306090120150Min: 161.27 / Avg: 162.22 / Max: 162.87Min: 151.76 / Avg: 153.45 / Max: 154.34Min: 121.42 / Avg: 121.97 / Max: 122.37Min: 95.59 / Avg: 96.77 / Max: 97.47Min: 80.22 / Avg: 80.31 / Max: 80.39Min: 134.09 / Avg: 134.32 / Max: 134.471. (CXX) g++ options: -O3 -fPIC

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U2004006008001000SE +/- 5.51, N = 3SE +/- 7.51, N = 3SE +/- 1.67, N = 3SE +/- 6.08, N = 3SE +/- 6.60, N = 15444522584806883-lwebp -lwebpmux -lbz2-lwebp -lwebpmux-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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U150300450600750Min: 438 / Avg: 444 / Max: 455Min: 514 / Avg: 522 / Max: 537Min: 581 / Avg: 584.33 / Max: 586Min: 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

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald40K80K120K160K200KSE +/- 537.36, N = 3SE +/- 798.33, N = 3SE +/- 598.26, N = 3SE +/- 633.99, N = 3SE +/- 336.86, N = 3SE +/- 806.50, N = 32092881299881541861131171054631696671. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald40K80K120K160K200KMin: 208279 / Avg: 209288 / Max: 210113Min: 128400 / Avg: 129987.67 / Max: 130928Min: 153001 / Avg: 154186 / Max: 154922Min: 111855 / Avg: 113116.67 / Max: 113857Min: 104824 / Avg: 105463.33 / Max: 105967Min: 168120 / Avg: 169667 / Max: 1708361. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U0.22280.44560.66840.89121.114SE +/- 0.00, N = 15SE +/- 0.00, N = 10SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.500.510.640.820.99MIN: 0.45 / MAX: 0.81MIN: 0.46 / MAX: 0.83MIN: 0.61 / MAX: 0.73MIN: 0.78 / MAX: 0.93MIN: 0.96 / MAX: 1.12
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U246810Min: 0.49 / Avg: 0.5 / Max: 0.54Min: 0.5 / Avg: 0.51 / Max: 0.55Min: 0.62 / Avg: 0.64 / Max: 0.66Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U0.20030.40060.60090.80121.0015SE +/- 0.00, N = 12SE +/- 0.00, N = 8SE +/- 0.01, N = 5SE +/- 0.01, N = 3SE +/- 0.01, N = 50.450.460.590.730.89MIN: 0.41 / MAX: 0.68MIN: 0.42 / MAX: 0.69MIN: 0.56 / MAX: 0.65MIN: 0.7 / MAX: 0.8MIN: 0.84 / MAX: 1.03
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U246810Min: 0.44 / Avg: 0.45 / Max: 0.49Min: 0.45 / Avg: 0.46 / Max: 0.49Min: 0.58 / Avg: 0.59 / Max: 0.62Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald4080120160200SE +/- 0.80, N = 3SE +/- 0.26, N = 3SE +/- 0.36, N = 3SE +/- 0.86, N = 3SE +/- 0.48, N = 3SE +/- 0.57, N = 3199.14180.69134.32121.31100.74150.97
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald4080120160200Min: 197.65 / Avg: 199.14 / Max: 200.41Min: 180.17 / Avg: 180.69 / Max: 180.99Min: 133.61 / Avg: 134.32 / Max: 134.7Min: 119.6 / Avg: 121.31 / Max: 122.27Min: 100.14 / Avg: 100.74 / Max: 101.7Min: 149.82 / Avg: 150.97 / Max: 151.6

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald70140210280350SE +/- 0.84, N = 3SE +/- 0.57, N = 3SE +/- 0.37, N = 3SE +/- 0.53, N = 3SE +/- 1.91, N = 3SE +/- 0.49, N = 3312.65285.25209.92200.77161.50234.73
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald60120180240300Min: 311.54 / Avg: 312.65 / Max: 314.3Min: 284.68 / Avg: 285.25 / Max: 286.39Min: 209.44 / Avg: 209.91 / Max: 210.65Min: 199.98 / Avg: 200.77 / Max: 201.78Min: 159.52 / Avg: 161.5 / Max: 165.33Min: 234.24 / Avg: 234.73 / Max: 235.72

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald110K220K330K440K550KSE +/- 2073.08, N = 3SE +/- 1081.93, N = 3SE +/- 2481.74, N = 3SE +/- 518.29, N = 3SE +/- 1809.88, N = 3SE +/- 893.66, N = 35161743425643935132954002744154334331. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald90K180K270K360K450KMin: 512253 / Avg: 516173.67 / Max: 519302Min: 340405 / Avg: 342564 / Max: 343769Min: 390059 / Avg: 393513 / Max: 398327Min: 294634 / Avg: 295400.33 / Max: 296388Min: 272238 / Avg: 274415 / Max: 278008Min: 431649 / Avg: 433433.33 / Max: 4344151. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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: Boat - Acceleration: CPU-onlyCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald612182430SE +/- 0.16, N = 3SE +/- 0.33, N = 12SE +/- 0.15, N = 4SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 1523.2817.0212.6416.8415.7214.33
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald510152025Min: 22.96 / Avg: 23.27 / Max: 23.47Min: 13.39 / Avg: 17.02 / Max: 17.41Min: 12.37 / Avg: 12.64 / Max: 13Min: 16.72 / Avg: 16.84 / Max: 17.04Min: 15.5 / Avg: 15.72 / Max: 16.07Min: 12.37 / Avg: 14.33 / Max: 14.83

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U918273645SE +/- 0.23, N = 3SE +/- 0.41, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.24, N = 322.1025.2127.9828.4440.591. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U816243240Min: 21.82 / Avg: 22.1 / Max: 22.56Min: 24.78 / Avg: 25.21 / Max: 26.04Min: 27.93 / Avg: 27.98 / Max: 28.01Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald80160240320400SE +/- 2.39, N = 3SE +/- 1.92, N = 3SE +/- 0.37, N = 3SE +/- 1.31, N = 3SE +/- 1.90, N = 12SE +/- 0.84, N = 3372.89352.19263.88243.86203.27285.65
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald70140210280350Min: 370.03 / Avg: 372.89 / Max: 377.63Min: 349.09 / Avg: 352.19 / Max: 355.69Min: 263.3 / Avg: 263.88 / Max: 264.57Min: 241.25 / Avg: 243.86 / Max: 245.39Min: 197.73 / Avg: 203.27 / Max: 218.43Min: 284.06 / Avg: 285.65 / Max: 286.9

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U816243240SE +/- 0.41, N = 3SE +/- 0.03, N = 3SE +/- 0.34, N = 3SE +/- 0.34, N = 3SE +/- 0.27, N = 1532.3220.5718.0822.8621.57MIN: 29.7 / MAX: 48.01MIN: 19.55 / MAX: 36.29MIN: 17.25 / MAX: 28.23MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U714212835Min: 31.82 / Avg: 32.32 / Max: 33.14Min: 20.53 / Avg: 20.57 / Max: 20.63Min: 17.4 / Avg: 18.08 / Max: 18.44Min: 22.23 / Avg: 22.86 / Max: 23.41Min: 20.42 / Avg: 21.57 / Max: 25.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U714212835SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 5SE +/- 0.22, N = 3SE +/- 0.30, N = 1528.3121.7915.8724.7221.19MIN: 27.77 / MAX: 30.7MIN: 21.06 / MAX: 24.84MIN: 13.51 / MAX: 36.17MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U612182430Min: 28.23 / Avg: 28.31 / Max: 28.35Min: 21.72 / Avg: 21.79 / Max: 21.87Min: 15.36 / Avg: 15.87 / Max: 16.34Min: 24.39 / Avg: 24.72 / Max: 25.14Min: 20.09 / Avg: 21.19 / Max: 23.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald160320480640800412465628676730546

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald3691215SE +/- 0.081, N = 15SE +/- 0.130, N = 15SE +/- 0.004, N = 5SE +/- 0.010, N = 6SE +/- 0.141, N = 15SE +/- 0.002, N = 39.6328.0317.2496.4205.4787.246
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald3691215Min: 8.72 / Avg: 9.63 / Max: 9.82Min: 6.45 / Avg: 8.03 / Max: 8.27Min: 7.24 / Avg: 7.25 / Max: 7.26Min: 6.4 / Avg: 6.42 / Max: 6.47Min: 5.23 / Avg: 5.48 / Max: 7.34Min: 7.24 / Avg: 7.25 / Max: 7.25

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U306090120150SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 1.35, N = 3SE +/- 0.42, N = 3SE +/- 0.82, N = 15112.0871.5663.95109.85111.31MIN: 110.43 / MAX: 137.73MIN: 70.12 / MAX: 87.59MIN: 60.08 / MAX: 81.01MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100Min: 111.88 / Avg: 112.08 / Max: 112.42Min: 71.53 / Avg: 71.56 / Max: 71.59Min: 61.29 / Avg: 63.95 / Max: 65.66Min: 109.05 / Avg: 109.85 / Max: 110.48Min: 107.97 / Avg: 111.31 / Max: 117.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U48121620SE +/- 0.109, N = 4SE +/- 0.117, N = 5SE +/- 0.123, N = 8SE +/- 0.100, N = 3SE +/- 0.010, N = 38.1199.14012.10710.61314.0631. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U48121620Min: 8 / Avg: 8.12 / Max: 8.45Min: 9 / Avg: 9.14 / Max: 9.61Min: 11.87 / Avg: 12.11 / Max: 12.91Min: 10.46 / Avg: 10.61 / Max: 10.8Min: 14.05 / Avg: 14.06 / Max: 14.081. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100SE +/- 0.67, N = 4SE +/- 0.49, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.47, N = 349.5077.1184.2559.6773.31MIN: 1 / MAX: 197MIN: 1 / MAX: 351MIN: 1 / MAX: 377MIN: 1 / MAX: 212MIN: 1 / MAX: 246
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1632486480Min: 47.5 / Avg: 49.5 / Max: 50.42Min: 76.58 / Avg: 77.11 / Max: 78.08Min: 84.08 / Avg: 84.25 / Max: 84.33Min: 59.42 / Avg: 59.67 / Max: 59.92Min: 72.75 / Avg: 73.31 / Max: 74.25

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1.08982.17963.26944.35925.449SE +/- 0.0239, N = 3SE +/- 0.0275, N = 3SE +/- 0.0335, N = 3SE +/- 0.0524, N = 4SE +/- 0.0636, N = 122.90882.96283.91723.80484.8435MIN: 2.84 / MAX: 4.67MIN: 2.89 / MAX: 4.76MIN: 3.85 / MAX: 4.24MIN: 3.7 / MAX: 4.39MIN: 4.64 / MAX: 5.84
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U246810Min: 2.88 / Avg: 2.91 / Max: 2.96Min: 2.93 / Avg: 2.96 / Max: 3.02Min: 3.87 / Avg: 3.92 / Max: 3.98Min: 3.74 / Avg: 3.8 / Max: 3.96Min: 4.68 / Avg: 4.84 / Max: 5.53

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald3691215SE +/- 0.091, N = 15SE +/- 0.167, N = 15SE +/- 0.015, N = 5SE +/- 0.015, N = 5SE +/- 0.071, N = 5SE +/- 0.035, N = 313.38711.2919.9429.8178.1009.917
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald48121620Min: 12.16 / Avg: 13.39 / Max: 13.58Min: 8.96 / Avg: 11.29 / Max: 11.56Min: 9.89 / Avg: 9.94 / Max: 9.97Min: 9.78 / Avg: 9.82 / Max: 9.86Min: 7.98 / Avg: 8.1 / Max: 8.37Min: 9.86 / Avg: 9.92 / Max: 9.98

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U612182430SE +/- 0.19, N = 3SE +/- 0.23, N = 3SE +/- 0.21, N = 5SE +/- 0.32, N = 3SE +/- 0.08, N = 1526.6221.8519.8918.1216.22MIN: 24.09 / MAX: 39.59MIN: 19.51 / MAX: 25.69MIN: 15.18 / MAX: 22.91MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U612182430Min: 26.29 / Avg: 26.62 / Max: 26.94Min: 21.59 / Avg: 21.85 / Max: 22.3Min: 19.18 / Avg: 19.89 / Max: 20.35Min: 17.53 / Avg: 18.12 / Max: 18.64Min: 15.87 / Avg: 16.22 / Max: 17.141. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald6K12K18K24K30KSE +/- 146.51, N = 3SE +/- 249.42, N = 3SE +/- 53.05, N = 3SE +/- 304.64, N = 4SE +/- 127.92, N = 3SE +/- 353.91, N = 31778619534217892291228780219401. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald5K10K15K20K25KMin: 17637 / Avg: 17786 / Max: 18079Min: 19162 / Avg: 19534.33 / Max: 20008Min: 21693 / Avg: 21789.33 / Max: 21876Min: 22296 / Avg: 22912 / Max: 23745Min: 28527 / Avg: 28780.33 / Max: 28938Min: 21279 / Avg: 21939.67 / Max: 224901. (CXX) g++ options: -pipe -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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U306090120150SE +/- 0.86, N = 3SE +/- 1.02, N = 3SE +/- 1.60, N = 3SE +/- 0.53, N = 3SE +/- 0.81, N = 9126.35114.77101.7487.3982.881. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100Min: 124.63 / Avg: 126.35 / Max: 127.21Min: 112.73 / Avg: 114.77 / Max: 115.79Min: 98.6 / Avg: 101.74 / Max: 103.87Min: 86.44 / Avg: 87.39 / Max: 88.26Min: 77.57 / Avg: 82.87 / Max: 84.531. RawTherapee, version 5.8, command line.

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U714212835SE +/- 0.35, N = 3SE +/- 0.22, N = 9SE +/- 0.42, N = 4SE +/- 0.22, N = 3SE +/- 0.12, N = 321.3922.1428.2230.5631.861. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U714212835Min: 21.02 / Avg: 21.39 / Max: 22.09Min: 21.83 / Avg: 22.14 / Max: 23.86Min: 27.29 / Avg: 28.22 / Max: 29.22Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald3006009001200150091910391315127913671180

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1.08682.17363.26044.34725.434SE +/- 0.0210, N = 3SE +/- 0.0530, N = 3SE +/- 0.0654, N = 3SE +/- 0.0526, N = 3SE +/- 0.0067, N = 33.36613.28694.83003.62944.6692MIN: 3.28 / MAX: 5.29MIN: 3.1 / MAX: 5.53MIN: 4.65 / MAX: 5.02MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U246810Min: 3.34 / Avg: 3.37 / Max: 3.41Min: 3.19 / Avg: 3.29 / Max: 3.38Min: 4.7 / Avg: 4.83 / Max: 4.9Min: 3.53 / Avg: 3.63 / Max: 3.72Min: 4.66 / Avg: 4.67 / Max: 4.68

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald20406080100SE +/- 0.76, N = 5SE +/- 0.55, N = 13SE +/- 0.20, N = 3SE +/- 0.33, N = 3SE +/- 0.75, N = 12SE +/- 0.06, N = 360.8166.2879.6477.5588.7677.24MIN: 52.86 / MAX: 91.31MIN: 56.56 / MAX: 111.27MIN: 72.86 / MAX: 92.93MIN: 72.78 / MAX: 87.2MIN: 83.11 / MAX: 100.52MIN: 67.03 / MAX: 92.791. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald20406080100Min: 60 / Avg: 60.81 / Max: 63.87Min: 65.61 / Avg: 66.28 / Max: 72.9Min: 79.43 / Avg: 79.64 / Max: 80.03Min: 77.02 / Avg: 77.55 / Max: 78.15Min: 86.66 / Avg: 88.76 / Max: 94.51Min: 77.12 / Avg: 77.24 / Max: 77.331. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100SE +/- 0.83, N = 3SE +/- 0.62, N = 3SE +/- 0.81, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 376.086.767.859.563.91. firefox 81.0
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1632486480Min: 74.8 / Avg: 76.03 / Max: 77.6Min: 85.8 / Avg: 86.7 / Max: 87.9Min: 66.4 / Avg: 67.83 / Max: 69.2Min: 59.2 / Avg: 59.53 / Max: 60Min: 63.8 / Avg: 63.9 / Max: 641. 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: efficientnet-b0Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U48121620SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 5SE +/- 0.04, N = 3SE +/- 0.03, N = 1516.6316.7811.5213.1812.40MIN: 15.74 / MAX: 21.11MIN: 16.45 / MAX: 18.83MIN: 10.93 / MAX: 17.07MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U48121620Min: 16.53 / Avg: 16.63 / Max: 16.8Min: 16.75 / Avg: 16.78 / Max: 16.8Min: 11.42 / Avg: 11.52 / Max: 11.63Min: 13.12 / Avg: 13.18 / Max: 13.25Min: 12.24 / Avg: 12.4 / Max: 12.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100SE +/- 0.39, N = 3SE +/- 0.77, N = 3SE +/- 0.53, N = 3SE +/- 0.35, N = 3SE +/- 0.42, N = 387.1879.1676.1965.3860.29
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100Min: 86.41 / Avg: 87.18 / Max: 87.65Min: 77.74 / Avg: 79.16 / Max: 80.36Min: 75.6 / Avg: 76.19 / Max: 77.24Min: 64.72 / Avg: 65.38 / Max: 65.9Min: 59.64 / Avg: 60.29 / Max: 61.07

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100SE +/- 0.46, N = 3SE +/- 0.16, N = 3SE +/- 0.54, N = 3SE +/- 0.37, N = 3SE +/- 0.34, N = 375.8088.6774.6063.5162.101. firefox 81.0
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100Min: 75.2 / Avg: 75.8 / Max: 76.7Min: 88.5 / Avg: 88.67 / Max: 88.98Min: 73.5 / Avg: 74.57 / Max: 75.2Min: 63 / Avg: 63.51 / Max: 64.23Min: 61.4 / Avg: 62.07 / Max: 62.51. 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: CPU - Model: resnet50Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1326395265SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 0.59, N = 3SE +/- 0.12, N = 1557.6752.5444.3449.9541.28MIN: 49.12 / MAX: 88.32MIN: 51.61 / MAX: 71.22MIN: 41.77 / MAX: 61.06MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1122334455Min: 57.63 / Avg: 57.67 / Max: 57.71Min: 52.52 / Avg: 52.54 / Max: 52.58Min: 43.79 / Avg: 44.34 / Max: 44.62Min: 49.05 / Avg: 49.95 / Max: 51.06Min: 40.91 / Avg: 41.28 / Max: 42.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215SE +/- 0.05, N = 7SE +/- 0.02, N = 7SE +/- 0.01, N = 7SE +/- 0.02, N = 8SE +/- 0.08, N = 77.9510.2010.608.157.69
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPUCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215Min: 7.78 / Avg: 7.95 / Max: 8.2Min: 10.2 / Avg: 10.24 / Max: 10.3Min: 10.6 / Avg: 10.61 / Max: 10.7Min: 8.05 / Avg: 8.15 / Max: 8.22Min: 7.22 / Avg: 7.69 / Max: 7.84

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215SE +/- 0.007, N = 5SE +/- 0.003, N = 6SE +/- 0.020, N = 5SE +/- 0.003, N = 6SE +/- 0.006, N = 68.6467.95710.1097.8137.428-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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215Min: 8.62 / Avg: 8.65 / Max: 8.66Min: 7.94 / Avg: 7.96 / Max: 7.97Min: 10.03 / Avg: 10.11 / Max: 10.14Min: 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

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700UCore i7 1165G7 - No Thermald150300450600750507574687603637634

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100SE +/- 0.53, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.40, N = 3SE +/- 0.71, N = 379.4195.0771.5284.0484.101. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100Min: 78.42 / Avg: 79.41 / Max: 80.26Min: 94.73 / Avg: 95.07 / Max: 95.32Min: 71.05 / Avg: 71.52 / Max: 71.88Min: 83.24 / Avg: 84.04 / Max: 84.45Min: 82.94 / Avg: 84.1 / Max: 85.41. 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U70140210280350SE +/- 1.62, N = 3SE +/- 1.61, N = 3SE +/- 1.29, N = 3SE +/- 1.28, N = 3SE +/- 1.14, N = 3319.88328.95278.24276.87253.88
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U60120180240300Min: 317.73 / Avg: 319.88 / Max: 323.05Min: 327.17 / Avg: 328.95 / Max: 332.17Min: 276.54 / Avg: 278.24 / Max: 280.76Min: 274.91 / Avg: 276.87 / Max: 279.28Min: 252.51 / Avg: 253.88 / Max: 256.15

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1224364860SE +/- 0.47, N = 3SE +/- 0.42, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 347.6143.0751.7341.8840.66
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1020304050Min: 46.67 / Avg: 47.61 / Max: 48.14Min: 42.24 / Avg: 43.07 / Max: 43.52Min: 51.64 / Avg: 51.73 / Max: 51.88Min: 41.84 / Avg: 41.88 / Max: 41.94Min: 40.56 / Avg: 40.66 / Max: 40.75

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U918273645SE +/- 0.44, N = 5SE +/- 0.45, N = 4SE +/- 0.04, N = 4SE +/- 0.25, N = 20SE +/- 0.37, N = 2033.3130.9839.3933.1430.971. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U816243240Min: 31.57 / Avg: 33.31 / Max: 33.92Min: 29.72 / Avg: 30.98 / Max: 31.82Min: 39.27 / Avg: 39.39 / Max: 39.46Min: 29.64 / Avg: 33.14 / Max: 34.44Min: 28.65 / Avg: 30.97 / Max: 35.471. (CC) gcc options: -O2 -std=c99

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215SE +/- 0.063, N = 5SE +/- 0.084, N = 15SE +/- 0.012, N = 5SE +/- 0.013, N = 5SE +/- 0.026, N = 510.9779.90311.2859.0698.954
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215Min: 10.84 / Avg: 10.98 / Max: 11.18Min: 9.41 / Avg: 9.9 / Max: 10.57Min: 11.25 / Avg: 11.28 / Max: 11.32Min: 9.04 / Avg: 9.07 / Max: 9.11Min: 8.9 / Avg: 8.95 / Max: 9.04

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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1326395265SE +/- 0.54, N = 3SE +/- 0.68, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 356.5648.6348.7245.9344.961. (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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1122334455Min: 55.49 / Avg: 56.56 / Max: 57.13Min: 47.27 / Avg: 48.63 / Max: 49.33Min: 48.59 / Avg: 48.72 / Max: 48.95Min: 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.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U400800120016002000SE +/- 22.23, N = 12SE +/- 1.00, N = 3SE +/- 8.17, N = 3SE +/- 3.61, N = 3185415091874176817511. firefox 81.0
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U30060090012001500Min: 1626 / Avg: 1854.33 / Max: 1941Min: 1508 / Avg: 1509 / Max: 1511Min: 1759 / Avg: 1767.67 / Max: 1784Min: 1746 / Avg: 1751 / Max: 17581. firefox 81.0

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U2004006008001000SE +/- 3.58, N = 3SE +/- 1.36, N = 3SE +/- 3.37, N = 3SE +/- 6.53, N = 3SE +/- 5.62, N = 3975.9830.11020.4892.3874.01. firefox 81.0
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U2004006008001000Min: 968.9 / Avg: 975.87 / Max: 980.8Min: 828.5 / Avg: 830.1 / Max: 832.8Min: 1016.7 / Avg: 1020.37 / Max: 1027.1Min: 880.4 / Avg: 892.33 / Max: 902.9Min: 862.8 / Avg: 874.03 / Max: 880.11. firefox 81.0

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3K6K9K12K15KSE +/- 140.32, N = 3SE +/- 46.36, N = 3SE +/- 126.97, N = 3SE +/- 122.05, N = 5SE +/- 61.24, N = 398951192610811979499711. firefox 81.0
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U2K4K6K8K10KMin: 9743 / Avg: 9894.67 / Max: 10175Min: 11870 / Avg: 11926 / Max: 12018Min: 10663 / Avg: 10811.33 / Max: 11064Min: 9403 / Avg: 9793.8 / Max: 10115Min: 9875 / Avg: 9971.33 / Max: 100851. firefox 81.0

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringCore i7 8565UCore i7 1065G7Core i7 1165G71428425670Min: 0.28 / Avg: 20.23 / Max: 70.05Min: 0.16 / Avg: 14.6 / Max: 54.4Min: 0.94 / Avg: 19.33 / Max: 46.76

Selenium

MinAvgMaxCore i7 8565U1.016.834.9Core i7 1065G70.613.235.2Core i7 1165G71.312.132.7OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1020304050

ParaView

MinAvgMaxCore i7 8565U0.611.334.4Core i7 1065G70.46.818.0Core i7 1165G71.16.313.8OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption Monitor1020304050

MinAvgMaxCore i7 8565U0.919.436.7Core i7 1065G70.512.531.4Core i7 1165G71.09.625.3OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.4.1CPU Power Consumption Monitor1020304050

OCRMyPDF

MinAvgMaxCore i7 8565U50.074.4100.0Core i7 1065G753.070.899.0Core i7 1165G748.071.879.0Ryzen 7 4700U51.173.2105.8OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 9.6.0+dfsgCPU Temperature Monitor20406080100

MinAvgMaxCore i7 8565U0.822.267.6Core i7 1065G70.416.353.3Core i7 1165G71.425.039.4OpenBenchmarking.orgWatts, Fewer Is BetterOCRMyPDF 9.6.0+dfsgCPU Power Consumption Monitor20406080100

MinAvgMaxCore i7 1065G7120023633899Core i7 1165G7120127883105Ryzen 7 4700U39931504182OpenBenchmarking.orgMegahertz, More Is BetterOCRMyPDF 9.6.0+dfsgCPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

NCNN

MinAvgMaxCore i7 8565U0.621.862.8Core i7 1065G70.416.344.9Core i7 1165G71.524.033.1OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20200916CPU Power Consumption Monitor20406080100

LAMMPS Molecular Dynamics Simulator

MinAvgMaxCore i7 8565U0.521.768.2Core i7 1065G70.315.247.9Core i7 1165G71.318.434.9OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Power Consumption Monitor20406080100

GraphicsMagick

MinAvgMaxCore i7 8565U0.922.364.4Core i7 1065G70.416.749.0Core i7 1165G71.325.134.4OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor20406080100

FFTE

MinAvgMaxCore i7 8565U0.521.768.5Core i7 1065G70.315.753.4Core i7 1165G71.613.536.0OpenBenchmarking.orgWatts, Fewer Is BetterFFTE 7.0CPU Power Consumption Monitor20406080100

FLAC Audio Encoding

MinAvgMaxCore i7 8565U0.615.525.9Core i7 1065G70.310.617.9Core i7 1165G71.78.412.3OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.3.2CPU Power Consumption Monitor816243240

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100Min: 42 / Avg: 73.11 / Max: 100Min: 42 / Avg: 69.59 / Max: 100Min: 45 / Avg: 65.94 / Max: 86Min: 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 1165G7Ryzen 5 4500URyzen 7 4700U7001400210028003500Min: 846 / Avg: 2407.04 / Max: 3905Min: 1079 / Avg: 2624.44 / Max: 3953Min: 1070 / Avg: 2996.15 / Max: 3994Min: 1397 / Avg: 3192.11 / Max: 4192

Selenium

MinAvgMaxCore i7 8565U46.065.292.0Core i7 1065G750.066.197.0Core i7 1165G748.056.966.0Ryzen 5 4500U44.358.373.6Ryzen 7 4700U40.465.182.9OpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G794926343894Core i7 1165G7107924173110Ryzen 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U120240360480600SE +/- 1.16, N = 3SE +/- 2.86, N = 3SE +/- 5.52, N = 5SE +/- 1.96, N = 3SE +/- 8.76, N = 12407.56549.84453.76449.51491.301. firefox 81.0
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U100200300400500Min: 405.52 / Avg: 407.56 / Max: 409.53Min: 545.34 / Avg: 549.84 / Max: 555.15Min: 432.79 / Avg: 453.76 / Max: 464.01Min: 445.61 / Avg: 449.51 / Max: 451.73Min: 451.36 / Avg: 491.3 / Max: 542.521. firefox 81.0

ParaView

MinAvgMaxCore i7 8565U48.060.287.0Core i7 1065G748.059.591.0Core i7 1165G746.048.954.0Ryzen 5 4500U45.058.068.4Ryzen 7 4700U39.567.179.8OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G7110122123900Core i7 1165G7110118973107Ryzen 5 4500U139723673988Ryzen 7 4700U139724344181OpenBenchmarking.orgMegahertz, More Is BetterParaView 5.4.1CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U2004006008001000SE +/- 2.34, N = 9SE +/- 6.12, N = 10SE +/- 18.73, N = 15SE +/- 9.64, N = 15SE +/- 2.97, N = 10381.47825.221013.99942.19969.13
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U2004006008001000Min: 372.48 / Avg: 381.47 / Max: 393.5Min: 786.36 / Avg: 825.22 / Max: 848.01Min: 850.38 / Avg: 1013.99 / Max: 1094.28Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1428425670SE +/- 0.15, N = 9SE +/- 0.38, N = 10SE +/- 1.17, N = 15SE +/- 0.60, N = 15SE +/- 0.19, N = 1023.8451.5863.3758.8960.57
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1224364860Min: 23.28 / Avg: 23.84 / Max: 24.59Min: 49.15 / Avg: 51.58 / Max: 53Min: 53.15 / Avg: 63.37 / Max: 68.39Min: 54.73 / Avg: 58.89 / Max: 61.41Min: 59.82 / Avg: 60.57 / Max: 61.31

MinAvgMaxCore i7 8565U50.074.497.0Core i7 1065G750.074.099.0Core i7 1165G748.054.663.0Ryzen 5 4500U47.862.769.9Ryzen 7 4700U45.171.081.3OpenBenchmarking.orgCelsius, Fewer Is BetterParaView 5.4.1CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G7110127393897Core i7 1165G7117023893110Ryzen 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U130260390520650SE +/- 0.20, N = 6SE +/- 0.27, N = 7SE +/- 1.06, N = 6SE +/- 8.56, N = 15SE +/- 1.69, N = 7212.22421.00623.64536.72598.67
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U110220330440550Min: 211.43 / Avg: 212.22 / Max: 212.62Min: 420.13 / Avg: 421 / Max: 421.98Min: 620.35 / Avg: 623.64 / Max: 626.68Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1326395265SE +/- 0.02, N = 6SE +/- 0.03, N = 7SE +/- 0.10, N = 6SE +/- 0.82, N = 15SE +/- 0.16, N = 720.3640.4059.8551.5057.44
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Core i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1224364860Min: 20.29 / Avg: 20.36 / Max: 20.4Min: 40.31 / Avg: 40.4 / Max: 40.49Min: 59.53 / Avg: 59.85 / Max: 60.14Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100SE +/- 0.66, N = 3SE +/- 0.66, N = 3SE +/- 0.60, N = 3SE +/- 0.12, N = 3SE +/- 0.89, N = 1279.1765.2853.9344.6038.73
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1530456075Min: 77.84 / Avg: 79.17 / Max: 79.94Min: 63.97 / Avg: 65.28 / Max: 65.97Min: 52.77 / Avg: 53.93 / Max: 54.77Min: 44.42 / Avg: 44.6 / Max: 44.82Min: 33.92 / Avg: 38.73 / Max: 45.8

NCNN

MinAvgMaxCore i7 8565U49.071.3100.0Core i7 1065G750.067.496.0Core i7 1165G749.068.674.0Ryzen 5 4500U50.088.3102.8Ryzen 7 4700U48.664.190.8OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G7120122463500Core i7 1165G7111727753018Ryzen 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1224364860SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.46, N = 3SE +/- 0.73, N = 1552.2943.7540.4748.0643.61MIN: 50.64 / MAX: 76.11MIN: 41.77 / MAX: 57.97MIN: 39.44 / MAX: 55.86MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1020304050Min: 52.18 / Avg: 52.29 / Max: 52.52Min: 43.53 / Avg: 43.75 / Max: 44.01Min: 40.42 / Avg: 40.47 / Max: 40.53Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U714212835SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 3SE +/- 0.47, N = 1529.8322.5919.1827.7923.21MIN: 27.42 / MAX: 49.41MIN: 20.34 / MAX: 44.74MIN: 18.16 / MAX: 22.24MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U714212835Min: 29.73 / Avg: 29.83 / Max: 29.88Min: 22.54 / Avg: 22.59 / Max: 22.66Min: 18.85 / Avg: 19.18 / Max: 19.39Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U918273645SE +/- 0.29, N = 3SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.38, N = 3SE +/- 0.49, N = 1539.6533.2030.8228.3826.60MIN: 38.4 / MAX: 62.44MIN: 31.71 / MAX: 48.84MIN: 30.27 / MAX: 49.36MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U816243240Min: 39.22 / Avg: 39.65 / Max: 40.2Min: 32.97 / Avg: 33.2 / Max: 33.65Min: 30.76 / Avg: 30.82 / Max: 30.88Min: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U816243240SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 0.65, N = 1533.5728.1626.5525.3124.11MIN: 32.22 / MAX: 53.63MIN: 27.28 / MAX: 48.41MIN: 26.14 / MAX: 44.83MIN: 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U714212835Min: 33.46 / Avg: 33.57 / Max: 33.77Min: 28.03 / Avg: 28.16 / Max: 28.34Min: 26.53 / Avg: 26.55 / Max: 26.57Min: 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 8565U47.070.5100.0Core i7 1065G748.065.794.0Core i7 1165G748.062.575.0Ryzen 5 4500U44.367.173.8Ryzen 7 4700U48.678.587.4OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G7110122203545Core i7 1165G7120024763104Ryzen 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U1.30232.60463.90695.20926.5115SE +/- 0.063, N = 15SE +/- 0.086, N = 15SE +/- 0.029, N = 8SE +/- 0.013, N = 7SE +/- 0.011, N = 92.1132.6412.8284.0415.7881. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U246810Min: 1.98 / Avg: 2.11 / Max: 2.97Min: 2.29 / Avg: 2.64 / Max: 3.18Min: 2.63 / Avg: 2.83 / Max: 2.87Min: 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 8565U52.073.5100.0Core i7 1065G752.069.298.0Core i7 1165G756.072.476.0Ryzen 5 4500U49.986.696.6Ryzen 7 4700U44.069.397.9OpenBenchmarking.orgCelsius, Fewer Is BetterGraphicsMagick 1.3.33CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G7124322493500Core i7 1165G7120127223100Ryzen 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 1.15, N = 3SE +/- 1.59, N = 152741517294-lwebp -lwebpmux -lbz2-lwebp -lwebpmux-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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U20406080100Min: 27 / Avg: 27.33 / Max: 28Min: 40 / Avg: 40.67 / Max: 42Min: 50 / Avg: 50.67 / Max: 52Min: 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 8565U51.072.1100.0Core i7 1065G749.065.297.0Core i7 1165G749.059.470.0Ryzen 5 4500U44.868.976.6Ryzen 7 4700U43.070.179.8OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0CPU Temperature Monitor20406080100

MinAvgMaxCore i7 1065G7120120503848Core i7 1165G7120020393100Ryzen 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U5K10K15K20K25KSE +/- 506.08, N = 15SE +/- 865.95, N = 15SE +/- 31.64, N = 10SE +/- 121.01, N = 9SE +/- 128.06, N = 1015397.3521665.3923401.3722192.9725470.631. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U4K8K12K16K20KMin: 13030.49 / Avg: 15397.35 / Max: 19975.74Min: 19169.86 / Avg: 21665.39 / Max: 26520.48Min: 23240.03 / Avg: 23401.37 / Max: 23500.08Min: 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 8565U53.072.488.0Core i7 1065G751.074.795.0Core i7 1165G753.059.065.0Ryzen 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 1165G7119526193112Ryzen 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 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215SE +/- 0.068, N = 5SE +/- 0.229, N = 20SE +/- 0.025, N = 5SE +/- 0.012, N = 5SE +/- 0.097, N = 69.6179.37111.0328.6148.786-logg-logg-logg1. (CXX) g++ options: -O2 -fvisibility=hidden -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACCore i7 8565UCore i7 1065G7Core i7 1165G7Ryzen 5 4500URyzen 7 4700U3691215Min: 9.43 / Avg: 9.62 / Max: 9.77Min: 8.87 / Avg: 9.37 / Max: 13.1Min: 10.99 / Avg: 11.03 / Max: 11.13Min: 8.58 / Avg: 8.61 / Max: 8.65Min: 8.52 / Avg: 8.79 / Max: 9.21. (CXX) g++ options: -O2 -fvisibility=hidden -lm

119 Results Shown

NCNN
ctx_clock
NCNN:
  Vulkan GPU - vgg16
  Vulkan GPU - resnet50
  Vulkan GPU - resnet18
TensorFlow Lite:
  Inception V4
  Inception ResNet V2
Mobile Neural Network
TensorFlow Lite
Basemark GPU
TensorFlow Lite:
  Mobilenet Float
  Mobilenet Quant
Intel Open Image Denoise
TensorFlow Lite
Unigine Superposition
GraphicsMagick
Mobile Neural Network
NCNN
Basemark GPU
Mobile Neural Network
GraphicsMagick
BRL-CAD
ASTC Encoder
NCNN
Mobile Neural Network
NCNN
YafaRay
Coremark
GraphicsMagick
libavif avifenc
GraphicsMagick
Caffe
LuxCoreRender:
  Rainbow Colors and Prism
  DLSC
Timed FFmpeg Compilation
Timed Linux Kernel Compilation
Caffe
Darktable
LibRaw
Build2
NCNN:
  CPU - alexnet
  Vulkan GPU - squeezenet
AI Benchmark Alpha
Darktable
NCNN
SVT-AV1
OpenVKL
Embree
Darktable
NCNN
7-Zip Compression
RawTherapee
x265
AI Benchmark Alpha
Embree
dav1d
Selenium
NCNN
Hugin
Selenium
NCNN
NeatBench
LAME MP3 Encoding
AI Benchmark Alpha
Selenium
WireGuard + Linux Networking Stack Stress Test
GEGL
eSpeak-NG Speech Engine
GEGL
WebP Image Encode
Selenium:
  PSPDFKit WASM - Firefox
  Kraken - Firefox
  CanvasMark - Firefox
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  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 Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Power Consumption 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 Volume - 1920 x 1080:
    MiVoxels / Sec
    Frames / Sec
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:
  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