Intel Core i7 1165G7 Tigerlake vs. AMD Renoir Ryzen PRO Linux Benchmarks

Extra tests from a future article with remote laptop.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010215-FI-PRO37031330
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Audio Encoding 2 Tests
AV1 3 Tests
C++ Boost Tests 2 Tests
Web Browsers 1 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 9 Tests
CPU Massive 12 Tests
Creator Workloads 23 Tests
Encoding 6 Tests
Fortran Tests 2 Tests
Game Development 3 Tests
HPC - High Performance Computing 7 Tests
Imaging 8 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 5 Tests
Multi-Core 17 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 3 Tests
OpenCV Tests 2 Tests
Programmer / Developer System Benchmarks 3 Tests
Python Tests 6 Tests
Renderers 2 Tests
Scientific Computing 2 Tests
Server CPU Tests 6 Tests
Single-Threaded 3 Tests
Video Encoding 4 Tests
Common Workstation Benchmarks 3 Tests

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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 - Ubuntu 20.10
October 18 2020
  9 Hours, 17 Minutes
Ryzen 7 PRO 4750U
October 21 2020
  6 Hours, 11 Minutes
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  9 Hours, 19 Minutes

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Intel Core i7 1165G7 Tigerlake vs. AMD Renoir Ryzen PRO Linux BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750UAMD Ryzen 5 4500U @ 2.38GHz (6 Cores)LENOVO LNVNB161216 (EECN20WW BIOS)AMD Renoir Root Complex16GB256GB SKHynix_HFM256GDHTNI-87A0BAMD Renoir 512MB (1500/400MHz)AMD Device 1637Realtek RTL8822CE 802.11ac PCIeUbuntu 20.045.9.0-050900rc7daily20201002-generic (x86_64) 20201001GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.3.0-devel (git-57b4f60 2020-10-02 focal-oibaf-ppa) (LLVM 10.0.1)1.2.145GCC 9.3.0ext41920x1080Intel 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)1920x1200AMD Ryzen 7 4700U @ 2.00GHz (8 Cores)LENOVO LNVNB161216 (DTCN18WWV1.04 BIOS)AMD Renoir Root Complex512GB SAMSUNG MZALQ512HALU-000L2 + 4001GB 004-2CV104AMD Renoir 512MB (1600/400MHz)AMD Device 1637Intel Wi-Fi 6 AX2004.6 Mesa 20.3.0-devel (git-3b3a3af 2020-10-03 focal-oibaf-ppa) (LLVM 10.0.1)1920x1080Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)Dell 0KTW76 (1.0.0 BIOS)Intel Cannon Point-LPPC401 NVMe SK hynix 256GBIntel UHD 620 3GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11ac5.9.0-050900rc7daily20201004-generic (x86_64) 202010034.6 Mesa 20.3.0-devel (git-2b977ad 2020-10-06 focal-oibaf-ppa)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)1920x1200Intel Tiger Lake-LPIntel UHD (1300MHz)Intel Wi-Fi 6 AX201Ubuntu 20.105.8.0-23-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.0GCC 10.2.0AMD Ryzen 7 PRO 4750U @ 1.70GHz (8 Cores / 16 Threads)LENOVO 20UFCTO1WW (R1CET36W1.05 BIOS)AMD Renoir Root Complex500GB SHGP31-500GM-2AMD Renoir (1600/400MHz)AMD Device 1637Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200Ubuntu 20.045.8.16-050816-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.8GCC 9.3.01920x1080OpenBenchmarking.orgCompiler Details- 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 - 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 - 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 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 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 - Core i7 1165G7 - Ubuntu 20.10: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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 7 PRO 4750U: --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- Ryzen 5 4500U: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8600102- Core i7 1065G7: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x78- Ryzen 7 4700U: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8600102- Core i7 8565U: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6- Core i7 1165G7: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52- Core i7 1165G7 - Ubuntu 20.10: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x52 - Thermald 2.3- Ryzen 7 PRO 4750U: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8600104Python Details- Ryzen 5 4500U: Python 3.8.2- Core i7 1065G7: Python 3.8.2- Ryzen 7 4700U: Python 3.8.2- Core i7 8565U: Python 3.8.2- Core i7 1165G7: Python 3.8.5- Core i7 1165G7 - Ubuntu 20.10: Python 3.8.6- Ryzen 7 PRO 4750U: Python 2.7.18 + Python 3.8.5Security Details- Ryzen 5 4500U: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Core i7 1065G7: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Ryzen 7 4700U: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected- Core i7 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 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- Core i7 1165G7 - Ubuntu 20.10: 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 7 PRO 4750U: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750UResult OverviewPhoronix Test Suite100%170%241%311%382%ctx_clockCaffeTensorFlow LiteIntel Open Image DenoiseLAMMPS Molecular Dynamics SimulatorBRL-CADYafaRayGraphicsMagickMobile Neural NetworkCoremarkASTC EncoderLuxCoreRenderlibavif avifencTimed Linux Kernel CompilationTimed FFmpeg CompilationEmbreeFFTEOpenVKLSVT-AV1LibRawNeatBench7-Zip CompressionHuginRawTherapeeLAME MP3 EncodingGEGLAI Benchmark Alphax265WebP Image EncodeFLAC Audio Encodingdav1dNCNNeSpeak-NG Speech EngineWireGuard + Linux Networking Stack Stress Test

Intel Core i7 1165G7 Tigerlake vs. AMD Renoir Ryzen PRO Linux Benchmarksncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - vgg16ctx-clock: Context Switch Timegraphics-magick: Sharpenncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - resnet18paraview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080tensorflow-lite: Inception V4tensorflow-lite: Inception ResNet V2mnn: resnet-v2-50tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floatbasemark: Vulkan - 1920 x 1080 - Mediumtensorflow-lite: Mobilenet Quantoidn: Memorialtensorflow-lite: SqueezeNetncnn: Vulkan GPU - alexnetbrl-cad: VGR Performance Metricgraphics-magick: Resizingmnn: mobilenet-v1-1.0unigine-super: 1920 x 1080 - Fullscreen - Low - OpenGLbasemark: Vulkan - 1920 x 1080 - Highyafaray: Total Time For Sample Scenemnn: inception-v3graphics-magick: Noise-Gaussiancoremark: CoreMark Size 666 - Iterations Per Secondgraphics-magick: Enhancedastcenc: Thoroughluxcorerender: DLSCncnn: Vulkan GPU - squeezenetluxcorerender: Rainbow Colors and Prismncnn: Vulkan GPU - mnasnetembree: Pathtracer - Crownocrmypdf: Processing 60 Page PDF Documentmnn: SqueezeNetV1.0ncnn: Vulkan GPU - googlenetavifenc: 2build-linux-kernel: Time To Compilebuild-ffmpeg: Time To Compilegraphics-magick: HWB Color Spaceffte: N=256, 3D Complex FFT Routinecaffe: AlexNet - CPU - 200build2: Time To Compileopenvkl: vklBenchmarksvt-av1: Enc Mode 8 - 1080pdarktable: Boat - CPU-onlyembree: Pathtracer ISPC - Crowncaffe: GoogleNet - CPU - 200libraw: Post-Processing Benchmarkneatbench: CPUncnn: CPU - alexnetselenium: Basemark - Firefoxai-benchmark: Device Inference Scoredarktable: Server Room - CPU-onlyselenium: Speedometer - Firefoxncnn: CPU - vgg16compress-7zip: Compress Speed Testdarktable: Masskrug - CPU-onlyncnn: Vulkan GPU - mobilenetselenium: StyleBench - Firefoxhugin: Panorama Photo Assistant + Stitching Timencnn: CPU - resnet18gegl: Cropselenium: Jetstream 2 - Firefoxrawtherapee: Total Benchmark Timeencode-mp3: WAV To MP3selenium: Kraken - Firefoxgegl: Antialiasncnn: CPU - mobilenetx265: H.265 1080p Video Encodingai-benchmark: Device AI Scoreselenium: CanvasMark - Firefoxwebp: Quality 100, Lossless, Highest Compressionencode-flac: WAV To FLACdav1d: Summer Nature 4Kncnn: Vulkan GPU - efficientnet-b0ncnn: CPU - resnet50ncnn: CPU - squeezenetespeak: Text-To-Speech Synthesisai-benchmark: Device Training Scorewireguard: ncnn: CPU - yolov4-tinyselenium: PSPDFKit WASM - Firefoxmnn: MobileNetV2_224ncnn: CPU - blazefacencnn: CPU - googlenetocrmypdf: Processing 60 Page PDF Documentncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU-v2-v2 - mobilenet-v2darktable: Masskrug - CPU-onlyncnn: Vulkan GPU - blazefacencnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2darktable: Server Room - CPU-onlydarktable: Boat - CPU-onlylammps: Rhodopsin ProteinRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U4.1362.041187219.028.8351.50536.71958.89942.1914793913433229032.106261175221797105.982267734.5233417114.49508665764.83122.622.59349.32544.581125167307.98001410959.080.7324.720.825.203.804844.6048.74511.7496.768200.772121.30880622192.970247223113117243.86059.6710.61316.8383.629429540028.448.1522.86449.516766.42063.51109.85229129.81718.1259.565.38127.799.06984.03787.3887.813892.341.87828.3830.561279979445.9268.61477.5513.1849.9525.3133.140603276.87048.0617684.04110.6695.90854135.8217.1140.40421.00351.58825.2249170150830380059.027455216422984101.984219635.0562606416.58318122809.43319.620.21538.41472.37378114477.27930957100.050.4621.790.5110.832.962865.27812.32518.68153.449285.251180.68652221665.391928848129988352.19277.119.14017.0153.286934256425.2110.220.57549.844658.03188.6771.561953411.29121.8586.779.16022.599.90395.073114.7737.957830.143.07333.2022.1410391192648.6339.37166.2816.7852.5428.1630.976574328.94743.7515092.6413.8857.851009416.677.9057.44598.66760.57969.1273661980331190733.157189137172190112.751749964.7225728813.49696927144.88626.024.28266.65140.201149208366.26815513547.210.8921.190.994.804.843538.7278.04110.8780.305161.499100.74188325470.628211855105463203.26873.3114.06315.7184.669227441540.597.6921.57491.307305.47862.1111.31287808.10016.2263.960.28623.218.95484.09582.8757.428874.040.66226.6031.861367997144.9568.78688.7612.4041.2824.1130.968637253.87643.6117515.78815.77152.823252751.6523.8820.36212.22223.84381.47110502233948247791.79853823248462057.604885922.3370906525.722903527012.73811.711.15578.076103.24972100330.66225356112.210.4528.310.5011.062.908879.16617.66123.69162.221312.653199.14444415397.353954938209288372.88849.508.11923.2753.366151617422.107.9532.32407.564129.63275.8112.081778613.38726.6276.087.18329.8310.97779.411126.3478.646975.947.61239.6521.39919989556.5649.61760.8116.6357.6733.5733.310507319.88052.2918542.1137.9740.712025115.499.2459.85623.64163.371013.9898031840726392047.563393680369163161.823665186.485477369.91432273797.23130.628.33406.49058.71294135435.1683636976.160.5915.870.648.563.917253.9329.56811.30121.969209.915134.32058423401.374409342154186263.87684.2512.10712.6444.830039351327.9810.618.08453.766287.24974.663.95217899.94219.8967.876.18519.1811.28571.518101.74110.1091020.451.72830.8228.2213151081148.72011.03279.6411.5244.3426.5539.387687278.23940.4718742.8288.2938.401284615.408.2461.27638.52668.491095.8738340117753315753.928412462383231151.093803785.735725799.36353263368.43128.228.99478.70568.08691115324.3525576587.040.5311.970.578.073.225111.11911.99135.362253.030157.48858130829.76749385417268496.3110.5813.828544047827.1413.618.92723.1453510972.542177419.8296.771.20721.717.390109.052100.2946.638672.334.15331.3625.0811481452438.1747.50669.0011.8250.6426.2828.624613283.20940.9114916.1282.1424.9944.27740.907.859.1772.1310.5611.096.994.896.487.547.42616.7522.69485894054527365780349.6482308621869341889034.04278058785136588.531224.89252.485182251235.20391214045.851.071.166.560535.7889.56374.667148.03694.44192919761.619509734155489189.61774.1715.61324.0486.245040188333.237.5719.286216.038104.14305508.10855.06522.559.30885.9957.43540.11028.5131.02121044.5168.09988.6343.8025.7128.870589330.13543.795.2792.0324.5910.496.395.136.768.164.411OpenBenchmarking.org

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1048121620SE +/- 0.03, N = 3SE +/- 0.35, N = 3SE +/- 0.03, N = 15SE +/- 0.07, N = 3SE +/- 0.07, N = 5SE +/- 0.09, N = 34.1310.663.8815.777.978.29MIN: 3.8 / MAX: 5.21MIN: 10.08 / MAX: 12.18MIN: 3.39 / MAX: 5.24MIN: 13.17 / MAX: 16.01MIN: 7.44 / MAX: 11.14MIN: 7.42 / MAX: 11.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1048121620Min: 4.09 / Avg: 4.13 / Max: 4.18Min: 10.29 / Avg: 10.66 / Max: 11.36Min: 3.61 / Avg: 3.88 / Max: 4Min: 15.69 / Avg: 15.77 / Max: 15.91Min: 7.78 / Avg: 7.97 / Max: 8.2Min: 8.18 / Avg: 8.29 / Max: 8.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10306090120150SE +/- 0.27, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 15SE +/- 0.27, N = 3SE +/- 0.02, N = 5SE +/- 0.02, N = 362.0495.9057.85152.8240.7138.40MIN: 60.99 / MAX: 81.46MIN: 93.54 / MAX: 96.72MIN: 56.85 / MAX: 65.57MIN: 151.45 / MAX: 154.04MIN: 39.33 / MAX: 41.14MIN: 38.09 / MAX: 39.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10306090120150Min: 61.5 / Avg: 62.04 / Max: 62.35Min: 95.85 / Avg: 95.9 / Max: 95.93Min: 57.49 / Avg: 57.85 / Max: 58.45Min: 152.29 / Avg: 152.82 / Max: 153.1Min: 40.66 / Avg: 40.71 / Max: 40.77Min: 38.37 / Avg: 38.4 / Max: 38.441. (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 TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U70140210280350SE +/- 0.27, N = 13SE +/- 0.55, N = 11SE +/- 0.35, N = 13SE +/- 1.15, N = 31188510032520212885
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U60120180240300Min: 84 / Avg: 85.38 / Max: 86Min: 321 / Avg: 325.09 / Max: 326Min: 200 / Avg: 201.69 / Max: 203Min: 126 / Avg: 128 / Max: 130

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100SE +/- 1.15, N = 3SE +/- 0.67, N = 3SE +/- 1.59, N = 15SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 372419427514689-lwebp -lwebpmux -lSM -lICE -lbz2-lwebp -lwebpmux -lSM -lICE -lbz2-lSM -lICE -lbz2-lSM -lICE-lwebp -lwebpmux -lSM -lICE-lwebp -lwebpmux -lSM -lICE1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100Min: 70 / Avg: 72 / Max: 74Min: 40 / Avg: 40.67 / Max: 42Min: 92 / Avg: 94.2 / Max: 114Min: 27 / Avg: 27.33 / Max: 28Min: 50 / Avg: 50.67 / Max: 52Min: 46 / Avg: 46.33 / Max: 471. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -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: resnet50Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.101224364860SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 15SE +/- 0.03, N = 3SE +/- 0.02, N = 5SE +/- 0.02, N = 319.0235.8216.6751.6515.4915.40MIN: 18.55 / MAX: 20.08MIN: 35.58 / MAX: 36.17MIN: 15.97 / MAX: 18.27MIN: 50.49 / MAX: 52.95MIN: 15.31 / MAX: 15.85MIN: 15.22 / MAX: 15.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.101020304050Min: 19 / Avg: 19.02 / Max: 19.03Min: 35.77 / Avg: 35.82 / Max: 35.85Min: 16.53 / Avg: 16.67 / Max: 16.8Min: 51.59 / Avg: 51.65 / Max: 51.69Min: 15.46 / Avg: 15.49 / Max: 15.55Min: 15.36 / Avg: 15.4 / Max: 15.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.20, N = 5SE +/- 0.13, N = 38.8317.117.9023.889.248.24MIN: 8.54 / MAX: 10.22MIN: 16.81 / MAX: 17.39MIN: 7.44 / MAX: 9.41MIN: 23.34 / MAX: 24.42MIN: 8.07 / MAX: 10.35MIN: 7.45 / MAX: 8.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10612182430Min: 8.81 / Avg: 8.83 / Max: 8.85Min: 17.05 / Avg: 17.11 / Max: 17.17Min: 7.84 / Avg: 7.9 / Max: 7.97Min: 23.86 / Avg: 23.88 / Max: 23.9Min: 8.69 / Avg: 9.24 / Max: 9.73Min: 7.99 / Avg: 8.24 / Max: 8.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ParaView

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

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.101428425670SE +/- 0.82, N = 15SE +/- 0.03, N = 7SE +/- 0.16, N = 7SE +/- 0.02, N = 6SE +/- 0.10, N = 6SE +/- 0.62, N = 351.5040.4057.4420.3659.8561.27
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.101224364860Min: 43.31 / Avg: 51.5 / Max: 54.25Min: 40.31 / Avg: 40.4 / Max: 40.49Min: 56.9 / Avg: 57.44 / Max: 57.92Min: 20.29 / Avg: 20.36 / Max: 20.4Min: 59.53 / Avg: 59.85 / Max: 60.14Min: 60.04 / Avg: 61.27 / Max: 62.03

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10140280420560700SE +/- 8.56, N = 15SE +/- 0.27, N = 7SE +/- 1.69, N = 7SE +/- 0.20, N = 6SE +/- 1.06, N = 6SE +/- 6.46, N = 3536.72421.00598.67212.22623.64638.53
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10110220330440550Min: 451.35 / Avg: 536.72 / Max: 565.37Min: 420.13 / Avg: 421 / Max: 421.98Min: 592.95 / Avg: 598.67 / Max: 603.64Min: 211.43 / Avg: 212.22 / Max: 212.62Min: 620.35 / Avg: 623.64 / Max: 626.68Min: 625.73 / Avg: 638.53 / Max: 646.39

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.101530456075SE +/- 0.60, N = 15SE +/- 0.38, N = 10SE +/- 0.19, N = 10SE +/- 0.15, N = 9SE +/- 1.17, N = 15SE +/- 2.00, N = 1258.8951.5860.5723.8463.3768.49
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.101326395265Min: 54.73 / Avg: 58.89 / Max: 61.41Min: 49.15 / Avg: 51.58 / Max: 53Min: 59.82 / Avg: 60.57 / Max: 61.31Min: 23.28 / Avg: 23.84 / Max: 24.59Min: 53.15 / Avg: 63.37 / Max: 68.39Min: 57.43 / Avg: 68.49 / Max: 80

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.102004006008001000SE +/- 9.64, N = 15SE +/- 6.12, N = 10SE +/- 2.97, N = 10SE +/- 2.34, N = 9SE +/- 18.73, N = 15SE +/- 32.02, N = 12942.19825.22969.13381.471013.991095.87
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.102004006008001000Min: 875.62 / Avg: 942.19 / Max: 982.59Min: 786.36 / Avg: 825.22 / Max: 848.01Min: 957.15 / Avg: 969.13 / Max: 980.95Min: 372.48 / Avg: 381.47 / Max: 393.5Min: 850.38 / Avg: 1013.99 / Max: 1094.28Min: 918.94 / Avg: 1095.87 / Max: 1279.95

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U2M4M6M8M10MSE +/- 22097.79, N = 3SE +/- 16982.47, N = 3SE +/- 5339.55, N = 3SE +/- 2531.36, N = 3SE +/- 47815.96, N = 3SE +/- 7274.71, N = 3SE +/- 6157.05, N = 347939139170150366198010502233803184083401174054527
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U2M4M6M8M10MMin: 4750340 / Avg: 4793913.33 / Max: 4822100Min: 9137230 / Avg: 9170150 / Max: 9193850Min: 3651830 / Avg: 3661980 / Max: 3669930Min: 10498900 / Avg: 10502233.33 / Max: 10507200Min: 7937030 / Avg: 8031840 / Max: 8090080Min: 8327480 / Avg: 8340116.67 / Max: 8352680Min: 4042950 / Avg: 4054526.67 / Max: 4063950

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U2M4M6M8M10MSE +/- 21501.76, N = 3SE +/- 21082.23, N = 3SE +/- 2809.26, N = 3SE +/- 2753.67, N = 3SE +/- 33311.56, N = 3SE +/- 2511.91, N = 3SE +/- 5086.89, N = 34332290830380033119079482477726392075331573657803
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1.6M3.2M4.8M6.4M8MMin: 4289370 / Avg: 4332290 / Max: 4356070Min: 8261720 / Avg: 8303800 / Max: 8327150Min: 3306290 / Avg: 3311906.67 / Max: 3314840Min: 9477230 / Avg: 9482476.67 / Max: 9486550Min: 7197310 / Avg: 7263920 / Max: 7298370Min: 7528760 / Avg: 7533156.67 / Max: 7537460Min: 3649060 / Avg: 3657803.33 / Max: 3666680

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100SE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.30, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 332.1159.0333.1691.8047.5653.9349.65MIN: 29.79 / MAX: 51.51MIN: 56.05 / MAX: 82.31MIN: 32.31 / MAX: 98.74MIN: 87.72 / MAX: 176.73MIN: 46.44 / MAX: 67MIN: 52.1 / MAX: 70.58MIN: 48.31 / MAX: 63.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100Min: 31.71 / Avg: 32.11 / Max: 32.4Min: 58.32 / Avg: 59.03 / Max: 59.39Min: 33.04 / Avg: 33.16 / Max: 33.24Min: 91.73 / Avg: 91.8 / Max: 91.87Min: 46.97 / Avg: 47.56 / Max: 47.88Min: 53.66 / Avg: 53.93 / Max: 54.37Min: 49.34 / Avg: 49.65 / Max: 49.831. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U120K240K360K480K600KSE +/- 909.74, N = 3SE +/- 6073.35, N = 3SE +/- 1038.73, N = 3SE +/- 6872.55, N = 3SE +/- 4527.47, N = 3SE +/- 2396.08, N = 3SE +/- 1227.24, N = 3261175455216189137538232393680412462230862
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U90K180K270K360K450KMin: 259585 / Avg: 261175.33 / Max: 262736Min: 443073 / Avg: 455216.33 / Max: 461536Min: 187099 / Avg: 189137.33 / Max: 190504Min: 524488 / Avg: 538232 / Max: 545254Min: 384628 / Avg: 393680 / Max: 398406Min: 407672 / Avg: 412462.33 / Max: 414972Min: 229050 / Avg: 230862.33 / Max: 233202

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U100K200K300K400K500KSE +/- 2082.31, N = 3SE +/- 5701.34, N = 3SE +/- 604.62, N = 3SE +/- 5979.89, N = 3SE +/- 3879.89, N = 3SE +/- 2552.79, N = 3SE +/- 272.51, N = 3221797422984172190484620369163383231186934
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U80K160K240K320K400KMin: 217646 / Avg: 221796.67 / Max: 224167Min: 411581 / Avg: 422983.67 / Max: 428694Min: 170982 / Avg: 172189.67 / Max: 172847Min: 472660 / Avg: 484619.67 / Max: 490644Min: 361413 / Avg: 369163.33 / Max: 373370Min: 378246 / Avg: 383231.33 / Max: 386678Min: 186633 / Avg: 186934 / Max: 187478

Basemark GPU

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

OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: MediumRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.104080120160200SE +/- 0.19, N = 3SE +/- 1.48, N = 3SE +/- 0.04, N = 3SE +/- 0.25, N = 3SE +/- 2.03, N = 3SE +/- 2.26, N = 4105.98101.98112.7557.60161.82151.09MIN: 26.63 / MAX: 217.02MIN: 53.82 / MAX: 190.65MIN: 61.76 / MAX: 214.96MIN: 28.39 / MAX: 125.5MIN: 80.76 / MAX: 310.94MIN: 78.84 / MAX: 270.5
OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: MediumRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10306090120150Min: 105.62 / Avg: 105.98 / Max: 106.23Min: 100.3 / Avg: 101.98 / Max: 104.94Min: 112.67 / Avg: 112.75 / Max: 112.82Min: 57.29 / Avg: 57.6 / Max: 58.1Min: 158.1 / Avg: 161.82 / Max: 165.07Min: 147.54 / Avg: 151.09 / Max: 157.66

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 QuantRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U100K200K300K400K500KSE +/- 2233.04, N = 3SE +/- 5726.85, N = 3SE +/- 132.95, N = 3SE +/- 6021.80, N = 3SE +/- 2992.33, N = 3SE +/- 2132.52, N = 3SE +/- 730.70, N = 3226773421963174996488592366518380378188903
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U80K160K240K320K400KMin: 222367 / Avg: 226773.33 / Max: 229607Min: 410509 / Avg: 421962.67 / Max: 427713Min: 174749 / Avg: 174995.67 / Max: 175205Min: 476549 / Avg: 488592 / Max: 494718Min: 360539 / Avg: 366518 / Max: 369733Min: 376119 / Avg: 380377.67 / Max: 382709Min: 187945 / Avg: 188903.33 / Max: 190338

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810SE +/- 0.03, N = 3SE +/- 0.06, N = 7SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 34.525.054.722.336.485.734.04
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215Min: 4.48 / Avg: 4.52 / Max: 4.57Min: 4.96 / Avg: 5.05 / Max: 5.38Min: 4.64 / Avg: 4.72 / Max: 4.79Min: 2.31 / Avg: 2.33 / Max: 2.37Min: 6.41 / Avg: 6.48 / Max: 6.58Min: 5.64 / Avg: 5.73 / Max: 5.91Min: 4.02 / Avg: 4.04 / Max: 4.06

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U150K300K450K600K750KSE +/- 3146.34, N = 3SE +/- 8228.71, N = 3SE +/- 452.41, N = 3SE +/- 8757.43, N = 3SE +/- 6372.13, N = 3SE +/- 3288.99, N = 3SE +/- 452.58, N = 3334171626064257288709065547736572579278058
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U120K240K360K480K600KMin: 327947 / Avg: 334171 / Max: 338086Min: 609607 / Avg: 626063.67 / Max: 634429Min: 256555 / Avg: 257288.33 / Max: 258114Min: 691550 / Avg: 709064.67 / Max: 717893Min: 535011 / Avg: 547736 / Max: 554705Min: 566010 / Avg: 572579.33 / Max: 576156Min: 277530 / Avg: 278058.33 / Max: 278959

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 15SE +/- 0.06, N = 3SE +/- 0.02, N = 5SE +/- 0.02, N = 314.4916.5813.4925.729.919.36MIN: 14.11 / MAX: 33.77MIN: 14.8 / MAX: 17.05MIN: 13.07 / MAX: 15.08MIN: 25.18 / MAX: 26.21MIN: 9.65 / MAX: 11.86MIN: 9.14 / MAX: 10.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10612182430Min: 14.46 / Avg: 14.49 / Max: 14.55Min: 16.55 / Avg: 16.58 / Max: 16.61Min: 13.45 / Avg: 13.49 / Max: 13.55Min: 25.6 / Avg: 25.72 / Max: 25.8Min: 9.87 / Avg: 9.91 / Max: 9.95Min: 9.31 / Avg: 9.36 / Max: 9.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20K40K60K80K100K50866318126969229035432273532678513-lSM -lICE -lXi -lGLU -luuid-lSM -lICE -lXi -lGLU -luuid-lSM -lICE -lGLU-lSM -lICE -lGLU-lSM -lICE -lXi -lGLU -luuid-lSM -lICE -lXi -lGLU -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 -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -lm

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U150300450600750SE +/- 5.46, N = 3SE +/- 4.18, N = 3SE +/- 3.51, N = 3SE +/- 4.70, N = 3SE +/- 1.45, N = 3SE +/- 1.00, N = 3576280714270379336658-lwebp -lwebpmux -lSM -lICE -lbz2-lwebp -lwebpmux -lSM -lICE -lbz2-lSM -lICE -lbz2-lSM -lICE-lwebp -lwebpmux -lSM -lICE-lwebp -lwebpmux -lSM -lICE1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U130260390520650Min: 569 / Avg: 576.33 / Max: 587Min: 275 / Avg: 279.67 / Max: 288Min: 266 / Avg: 270 / Max: 277Min: 373 / Avg: 378.67 / Max: 388Min: 334 / Avg: 336.33 / Max: 339Min: 657 / Avg: 658 / Max: 6601. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215SE +/- 0.029, N = 3SE +/- 0.013, N = 3SE +/- 0.015, N = 3SE +/- 0.014, N = 3SE +/- 0.011, N = 3SE +/- 0.008, N = 3SE +/- 0.067, N = 34.8319.4334.88612.7387.2318.4318.531MIN: 4.3 / MAX: 21.97MIN: 8.89 / MAX: 15.49MIN: 4.75 / MAX: 19.13MIN: 12 / MAX: 55.1MIN: 7.15 / MAX: 26.13MIN: 8.28 / MAX: 25.07MIN: 8.37 / MAX: 9.51. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U48121620Min: 4.78 / Avg: 4.83 / Max: 4.87Min: 9.41 / Avg: 9.43 / Max: 9.45Min: 4.86 / Avg: 4.89 / Max: 4.9Min: 12.71 / Avg: 12.74 / Max: 12.76Min: 7.21 / Avg: 7.23 / Max: 7.25Min: 8.42 / Avg: 8.43 / Max: 8.45Min: 8.46 / Avg: 8.53 / Max: 8.671. (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

Unigine Superposition

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

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10714212835SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 322.619.626.011.730.628.2MAX: 29.5MAX: 24.9MAX: 33.5MAX: 14.8MAX: 40MAX: 38.9
OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10714212835Min: 22.5 / Avg: 22.6 / Max: 22.7Min: 19.6 / Avg: 19.63 / Max: 19.7Min: 25.9 / Avg: 25.97 / Max: 26Min: 11.7 / Avg: 11.73 / Max: 11.8Min: 30.5 / Avg: 30.6 / Max: 30.7Min: 28.2 / Avg: 28.2 / Max: 28.2

Basemark GPU

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

OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: HighRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 322.5920.2124.2811.1528.3328.99MIN: 13.48 / MAX: 37.86MIN: 11.15 / MAX: 32.94MIN: 17.88 / MAX: 42.18MIN: 8.76 / MAX: 18.39MIN: 18.62 / MAX: 63.95MIN: 21.44 / MAX: 61.67
OpenBenchmarking.orgFPS, More Is BetterBasemark GPU 1.2Renderer: Vulkan - Resolution: 1920 x 1080 - Graphics Preset: HighRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10612182430Min: 22.55 / Avg: 22.59 / Max: 22.63Min: 20.19 / Avg: 20.21 / Max: 20.22Min: 24.24 / Avg: 24.28 / Max: 24.35Min: 11.15 / Avg: 11.15 / Max: 11.15Min: 28.25 / Avg: 28.33 / Max: 28.38Min: 28.98 / Avg: 28.99 / Max: 29.01

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U120240360480600SE +/- 1.96, N = 3SE +/- 0.69, N = 3SE +/- 1.03, N = 3SE +/- 0.67, N = 3SE +/- 0.95, N = 3SE +/- 1.33, N = 3SE +/- 1.30, N = 3349.33538.41266.65578.08406.49478.71224.891. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U100200300400500Min: 345.83 / Avg: 349.32 / Max: 352.61Min: 537.08 / Avg: 538.41 / Max: 539.4Min: 264.67 / Avg: 266.65 / Max: 268.1Min: 576.96 / Avg: 578.08 / Max: 579.29Min: 404.64 / Avg: 406.49 / Max: 407.79Min: 477.24 / Avg: 478.71 / Max: 481.36Min: 222.77 / Avg: 224.89 / Max: 227.271. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -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: inception-v3Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100SE +/- 0.23, N = 3SE +/- 0.56, N = 3SE +/- 0.55, N = 3SE +/- 0.46, N = 3SE +/- 0.54, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 344.5872.3740.20103.2558.7168.0952.49MIN: 41.67 / MAX: 82.43MIN: 69.84 / MAX: 95.03MIN: 38.3 / MAX: 105.77MIN: 94.8 / MAX: 150.28MIN: 53.05 / MAX: 85.43MIN: 66.09 / MAX: 85.86MIN: 49.77 / MAX: 67.051. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100Min: 44.13 / Avg: 44.58 / Max: 44.85Min: 71.28 / Avg: 72.37 / Max: 73.15Min: 39.11 / Avg: 40.2 / Max: 40.76Min: 102.75 / Avg: 103.25 / Max: 104.17Min: 57.64 / Avg: 58.71 / Max: 59.4Min: 67.81 / Avg: 68.09 / Max: 68.48Min: 52.17 / Avg: 52.48 / Max: 52.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U4080120160200SE +/- 1.20, N = 3SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 1.33, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 312578149729491182-lwebp -lwebpmux -lSM -lICE -lbz2-lwebp -lwebpmux -lSM -lICE -lbz2-lSM -lICE -lbz2-lSM -lICE-lwebp -lwebpmux -lSM -lICE-lwebp -lwebpmux -lSM -lICE1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U306090120150Min: 123 / Avg: 124.67 / Max: 127Min: 77 / Avg: 78 / Max: 80Min: 71 / Avg: 72 / Max: 74Min: 93 / Avg: 94.33 / Max: 97Min: 90 / Avg: 90.67 / Max: 92Min: 181 / Avg: 182 / Max: 1831. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U50K100K150K200K250KSE +/- 1080.56, N = 3SE +/- 1210.76, N = 8SE +/- 1035.33, N = 3SE +/- 985.37, N = 13SE +/- 75.02, N = 3SE +/- 963.95, N = 15SE +/- 809.54, N = 3167307.98114477.28208366.27100330.66135435.17115324.35251235.201. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U40K80K120K160K200KMin: 165425.97 / Avg: 167307.98 / Max: 169168.96Min: 112990.36 / Avg: 114477.28 / Max: 122939.8Min: 206358.42 / Avg: 208366.27 / Max: 209808.55Min: 98789.82 / Avg: 100330.66 / Max: 112044.82Min: 135287.49 / Avg: 135435.17 / Max: 135531.96Min: 112683.99 / Avg: 115324.35 / Max: 128612.19Min: 249736.61 / Avg: 251235.2 / Max: 252515.291. (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: EnhancedRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U306090120150SE +/- 1.00, N = 3SE +/- 0.75, N = 4SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 310957135566965140-lwebp -lwebpmux -lSM -lICE -lbz2-lwebp -lwebpmux -lSM -lICE -lbz2-lSM -lICE -lbz2-lSM -lICE-lwebp -lwebpmux -lSM -lICE-lwebp -lwebpmux -lSM -lICE1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U306090120150Min: 108 / Avg: 109 / Max: 111Min: 56 / Avg: 56.75 / Max: 59Min: 55 / Avg: 56.33 / Max: 58Min: 68 / Avg: 68.67 / Max: 70Min: 65 / Avg: 65.33 / Max: 661. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U306090120150SE +/- 0.75, N = 3SE +/- 0.77, N = 3SE +/- 0.60, N = 15SE +/- 0.76, N = 3SE +/- 0.81, N = 3SE +/- 1.08, N = 3SE +/- 0.50, N = 359.08100.0547.21112.2176.1687.0445.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100Min: 57.71 / Avg: 59.08 / Max: 60.29Min: 98.5 / Avg: 100.05 / Max: 100.9Min: 39.76 / Avg: 47.21 / Max: 50.71Min: 110.68 / Avg: 112.21 / Max: 113.03Min: 74.55 / Avg: 76.16 / Max: 77.01Min: 84.87 / Avg: 87.04 / Max: 88.16Min: 44.95 / Avg: 45.85 / Max: 46.661. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U0.24080.48160.72240.96321.204SE +/- 0.01, N = 3SE +/- 0.00, N = 8SE +/- 0.01, N = 5SE +/- 0.00, N = 12SE +/- 0.01, N = 5SE +/- 0.01, N = 4SE +/- 0.01, N = 30.730.460.890.450.590.531.07MIN: 0.7 / MAX: 0.8MIN: 0.42 / MAX: 0.69MIN: 0.84 / MAX: 1.03MIN: 0.41 / MAX: 0.68MIN: 0.56 / MAX: 0.65MIN: 0.49 / MAX: 0.84MIN: 1 / MAX: 1.14
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810Min: 0.72 / Avg: 0.73 / Max: 0.75Min: 0.45 / Avg: 0.46 / Max: 0.49Min: 0.87 / Avg: 0.89 / Max: 0.94Min: 0.44 / Avg: 0.45 / Max: 0.49Min: 0.58 / Avg: 0.59 / Max: 0.62Min: 0.52 / Avg: 0.53 / Max: 0.55Min: 1.05 / Avg: 1.07 / Max: 1.09

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10714212835SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.30, N = 15SE +/- 0.04, N = 3SE +/- 0.20, N = 5SE +/- 0.17, N = 324.7221.7921.1928.3115.8711.97MIN: 20.74 / MAX: 50MIN: 21.06 / MAX: 24.84MIN: 18.18 / MAX: 45.71MIN: 27.77 / MAX: 30.7MIN: 13.51 / MAX: 36.17MIN: 11.21 / MAX: 38.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10612182430Min: 24.39 / Avg: 24.72 / Max: 25.14Min: 21.72 / Avg: 21.79 / Max: 21.87Min: 20.09 / Avg: 21.19 / Max: 23.49Min: 28.23 / Avg: 28.31 / Max: 28.35Min: 15.36 / Avg: 15.87 / Max: 16.34Min: 11.73 / Avg: 11.97 / Max: 12.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U0.2610.5220.7831.0441.305SE +/- 0.01, N = 3SE +/- 0.00, N = 10SE +/- 0.00, N = 3SE +/- 0.00, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 30.820.510.990.500.640.571.16MIN: 0.78 / MAX: 0.93MIN: 0.46 / MAX: 0.83MIN: 0.96 / MAX: 1.12MIN: 0.45 / MAX: 0.81MIN: 0.61 / MAX: 0.73MIN: 0.52 / MAX: 0.95MIN: 1.11 / MAX: 1.28
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810Min: 0.81 / Avg: 0.82 / Max: 0.84Min: 0.5 / Avg: 0.51 / Max: 0.55Min: 0.99 / Avg: 0.99 / Max: 1Min: 0.49 / Avg: 0.5 / Max: 0.54Min: 0.62 / Avg: 0.64 / Max: 0.66Min: 0.56 / Avg: 0.57 / Max: 0.6Min: 1.15 / Avg: 1.16 / Max: 1.17

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.103691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 15SE +/- 0.03, N = 3SE +/- 0.07, N = 5SE +/- 0.37, N = 35.2010.834.8011.068.568.07MIN: 4.9 / MAX: 11.7MIN: 10.5 / MAX: 14.28MIN: 4.4 / MAX: 6.08MIN: 10.43 / MAX: 14.77MIN: 7.91 / MAX: 12.65MIN: 6.58 / MAX: 10.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.103691215Min: 5.18 / Avg: 5.2 / Max: 5.22Min: 10.79 / Avg: 10.83 / Max: 10.86Min: 4.61 / Avg: 4.8 / Max: 4.91Min: 11.01 / Avg: 11.06 / Max: 11.1Min: 8.43 / Avg: 8.56 / Max: 8.81Min: 7.36 / Avg: 8.07 / Max: 8.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810SE +/- 0.0524, N = 4SE +/- 0.0275, N = 3SE +/- 0.0636, N = 12SE +/- 0.0239, N = 3SE +/- 0.0335, N = 3SE +/- 0.0102, N = 3SE +/- 0.0275, N = 33.80482.96284.84352.90883.91723.22516.5605MIN: 3.7 / MAX: 4.39MIN: 2.89 / MAX: 4.76MIN: 4.64 / MAX: 5.84MIN: 2.84 / MAX: 4.67MIN: 3.85 / MAX: 4.24MIN: 3.15 / MAX: 5.68MIN: 6.43 / MAX: 7.09
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215Min: 3.74 / Avg: 3.8 / Max: 3.96Min: 2.93 / Avg: 2.96 / Max: 3.02Min: 4.68 / Avg: 4.84 / Max: 5.53Min: 2.88 / Avg: 2.91 / Max: 2.96Min: 3.87 / Avg: 3.92 / Max: 3.98Min: 3.21 / Avg: 3.23 / Max: 3.25Min: 6.53 / Avg: 6.56 / Max: 6.62

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentRyzen 7 PRO 4750URyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G720406080100SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.66, N = 3SE +/- 0.89, N = 12SE +/- 0.66, N = 3SE +/- 0.60, N = 335.7744.6065.2838.7379.1753.93
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentRyzen 7 PRO 4750URyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G71530456075Min: 35.6 / Avg: 35.76 / Max: 35.95Min: 44.42 / Avg: 44.6 / Max: 44.82Min: 63.97 / Avg: 65.28 / Max: 65.97Min: 33.92 / Avg: 38.73 / Max: 45.8Min: 77.84 / Avg: 79.17 / Max: 79.94Min: 52.77 / Avg: 53.93 / Max: 54.77

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U48121620SE +/- 0.039, N = 3SE +/- 0.087, N = 3SE +/- 0.064, N = 3SE +/- 0.116, N = 3SE +/- 0.065, N = 3SE +/- 0.046, N = 3SE +/- 0.101, N = 38.74512.3258.04117.6619.56811.1199.563MIN: 7.71 / MAX: 26.5MIN: 11.75 / MAX: 33.89MIN: 7.69 / MAX: 21.66MIN: 15.48 / MAX: 53.9MIN: 9.32 / MAX: 29.19MIN: 10.71 / MAX: 27.02MIN: 9.29 / MAX: 10.611. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U48121620Min: 8.67 / Avg: 8.75 / Max: 8.79Min: 12.15 / Avg: 12.32 / Max: 12.43Min: 7.92 / Avg: 8.04 / Max: 8.12Min: 17.51 / Avg: 17.66 / Max: 17.89Min: 9.44 / Avg: 9.57 / Max: 9.63Min: 11.06 / Avg: 11.12 / Max: 11.21Min: 9.42 / Avg: 9.56 / Max: 9.761. (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

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10612182430SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 15SE +/- 0.02, N = 3SE +/- 0.05, N = 5SE +/- 0.21, N = 311.7418.6810.8723.6911.3011.99MIN: 11.01 / MAX: 30MIN: 18.52 / MAX: 19.07MIN: 10.15 / MAX: 12.06MIN: 22.58 / MAX: 25.19MIN: 10.73 / MAX: 15.29MIN: 11.24 / MAX: 16.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10612182430Min: 11.55 / Avg: 11.74 / Max: 11.9Min: 18.65 / Avg: 18.68 / Max: 18.71Min: 10.79 / Avg: 10.87 / Max: 11.01Min: 23.66 / Avg: 23.69 / Max: 23.71Min: 11.21 / Avg: 11.3 / Max: 11.49Min: 11.7 / Avg: 11.99 / Max: 12.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U4080120160200SE +/- 0.59, N = 3SE +/- 0.85, N = 3SE +/- 0.05, N = 3SE +/- 0.49, N = 3SE +/- 0.29, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 396.77153.4580.31162.22121.97135.3674.671. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U306090120150Min: 95.59 / Avg: 96.77 / Max: 97.47Min: 151.76 / Avg: 153.45 / Max: 154.34Min: 80.22 / Avg: 80.31 / Max: 80.39Min: 161.27 / Avg: 162.22 / Max: 162.87Min: 121.42 / Avg: 121.97 / Max: 122.37Min: 134.84 / Avg: 135.36 / Max: 135.75Min: 74.32 / Avg: 74.67 / Max: 74.981. (CXX) g++ options: -O3 -fPIC

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U70140210280350SE +/- 0.53, N = 3SE +/- 0.57, N = 3SE +/- 1.91, N = 3SE +/- 0.84, N = 3SE +/- 0.37, N = 3SE +/- 0.74, N = 3SE +/- 0.28, N = 3200.77285.25161.50312.65209.92253.03148.04
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U60120180240300Min: 199.98 / Avg: 200.77 / Max: 201.78Min: 284.68 / Avg: 285.25 / Max: 286.39Min: 159.52 / Avg: 161.5 / Max: 165.33Min: 311.54 / Avg: 312.65 / Max: 314.3Min: 209.44 / Avg: 209.91 / Max: 210.65Min: 252.24 / Avg: 253.03 / Max: 254.51Min: 147.74 / Avg: 148.04 / Max: 148.61

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U4080120160200SE +/- 0.86, N = 3SE +/- 0.26, N = 3SE +/- 0.48, N = 3SE +/- 0.80, N = 3SE +/- 0.36, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3121.31180.69100.74199.14134.32157.4994.44
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U4080120160200Min: 119.6 / Avg: 121.31 / Max: 122.27Min: 180.17 / Avg: 180.69 / Max: 180.99Min: 100.14 / Avg: 100.74 / Max: 101.7Min: 197.65 / Avg: 199.14 / Max: 200.41Min: 133.61 / Avg: 134.32 / Max: 134.7Min: 157.3 / Avg: 157.49 / Max: 157.63Min: 94.19 / Avg: 94.44 / Max: 94.79

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U2004006008001000SE +/- 6.08, N = 3SE +/- 7.51, N = 3SE +/- 6.60, N = 15SE +/- 5.51, N = 3SE +/- 1.67, N = 3SE +/- 4.73, N = 3SE +/- 1.00, N = 3806522883444584581929-lwebp -lwebpmux -lSM -lICE -lbz2-lwebp -lwebpmux -lSM -lICE -lbz2-lSM -lICE -lbz2-lSM -lICE-lwebp -lwebpmux -lSM -lICE-lwebp -lwebpmux -lSM -lICE1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U160320480640800Min: 796 / Avg: 806 / Max: 817Min: 514 / Avg: 522 / Max: 537Min: 864 / Avg: 882.53 / Max: 967Min: 438 / Avg: 444 / Max: 455Min: 581 / Avg: 584.33 / Max: 586Min: 574 / Avg: 581 / Max: 590Min: 928 / Avg: 929 / Max: 9311. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lm -lpthread

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U7K14K21K28K35KSE +/- 121.01, N = 9SE +/- 865.95, N = 15SE +/- 128.06, N = 10SE +/- 506.08, N = 15SE +/- 31.64, N = 10SE +/- 257.48, N = 3SE +/- 13.42, N = 322192.9721665.3925470.6315397.3523401.3730829.7719761.621. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U5K10K15K20K25KMin: 21588 / Avg: 22192.97 / Max: 22630.93Min: 19169.86 / Avg: 21665.39 / Max: 26520.48Min: 24430.01 / Avg: 25470.63 / Max: 25952.71Min: 13030.49 / Avg: 15397.35 / Max: 19975.74Min: 23240.03 / Avg: 23401.37 / Max: 23500.08Min: 30317.61 / Avg: 30829.77 / Max: 31132.37Min: 19735.05 / Avg: 19761.62 / Max: 19778.221. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U40K80K120K160K200KSE +/- 633.99, N = 3SE +/- 798.33, N = 3SE +/- 336.86, N = 3SE +/- 537.36, N = 3SE +/- 598.26, N = 3SE +/- 559.67, N = 3SE +/- 1532.02, N = 31131171299881054632092881541861726841554891. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U40K80K120K160K200KMin: 111855 / Avg: 113116.67 / Max: 113857Min: 128400 / Avg: 129987.67 / Max: 130928Min: 104824 / Avg: 105463.33 / Max: 105967Min: 208279 / Avg: 209288 / Max: 210113Min: 153001 / Avg: 154186 / Max: 154922Min: 171569 / Avg: 172684.33 / Max: 173324Min: 153496 / Avg: 155489 / Max: 1585011. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Build2

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Ryzen 7 PRO 4750U80160240320400SE +/- 1.31, N = 3SE +/- 1.92, N = 3SE +/- 1.90, N = 12SE +/- 2.39, N = 3SE +/- 0.37, N = 3SE +/- 0.62, N = 3243.86352.19203.27372.89263.88189.62
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Ryzen 7 PRO 4750U70140210280350Min: 241.25 / Avg: 243.86 / Max: 245.39Min: 349.09 / Avg: 352.19 / Max: 355.69Min: 197.73 / Avg: 203.27 / Max: 218.43Min: 370.03 / Avg: 372.89 / Max: 377.63Min: 263.3 / Avg: 263.88 / Max: 264.57Min: 188.85 / Avg: 189.62 / Max: 190.85

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100SE +/- 0.14, N = 3SE +/- 0.49, N = 3SE +/- 0.47, N = 3SE +/- 0.67, N = 4SE +/- 0.08, N = 3SE +/- 0.43, N = 3SE +/- 0.48, N = 359.6777.1173.3149.5084.2596.3174.17MIN: 1 / MAX: 212MIN: 1 / MAX: 351MIN: 1 / MAX: 246MIN: 1 / MAX: 197MIN: 1 / MAX: 377MIN: 1 / MAX: 443MIN: 1 / MAX: 248
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100Min: 59.42 / Avg: 59.67 / Max: 59.92Min: 76.58 / Avg: 77.11 / Max: 78.08Min: 72.75 / Avg: 73.31 / Max: 74.25Min: 47.5 / Avg: 49.5 / Max: 50.42Min: 84.08 / Avg: 84.25 / Max: 84.33Min: 95.83 / Avg: 96.31 / Max: 97.17Min: 73.33 / Avg: 74.17 / Max: 75

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U48121620SE +/- 0.100, N = 3SE +/- 0.117, N = 5SE +/- 0.010, N = 3SE +/- 0.109, N = 4SE +/- 0.123, N = 8SE +/- 0.098, N = 3SE +/- 0.009, N = 310.6139.14014.0638.11912.10710.58115.6131. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U48121620Min: 10.46 / Avg: 10.61 / Max: 10.8Min: 9 / Avg: 9.14 / Max: 9.61Min: 14.05 / Avg: 14.06 / Max: 14.08Min: 8 / Avg: 8.12 / Max: 8.45Min: 11.87 / Avg: 12.11 / Max: 12.91Min: 10.47 / Avg: 10.58 / Max: 10.78Min: 15.6 / Avg: 15.61 / Max: 15.631. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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-onlyRyzen 7 PRO 4750URyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7612182430SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.33, N = 12SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 423.8116.8417.0215.7223.2812.64
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyRyzen 7 PRO 4750URyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7612182430Min: 23.79 / Avg: 23.81 / Max: 23.83Min: 16.72 / Avg: 16.84 / Max: 17.04Min: 13.39 / Avg: 17.02 / Max: 17.41Min: 15.5 / Avg: 15.72 / Max: 16.07Min: 22.96 / Avg: 23.27 / Max: 23.47Min: 12.37 / Avg: 12.64 / Max: 13

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810SE +/- 0.0526, N = 3SE +/- 0.0530, N = 3SE +/- 0.0067, N = 3SE +/- 0.0210, N = 3SE +/- 0.0654, N = 3SE +/- 0.0199, N = 3SE +/- 0.0668, N = 33.62943.28694.66923.36614.83003.82856.2450MIN: 3.5 / MAX: 4.16MIN: 3.1 / MAX: 5.53MIN: 4.62 / MAX: 4.89MIN: 3.28 / MAX: 5.29MIN: 4.65 / MAX: 5.02MIN: 3.69 / MAX: 6.84MIN: 6.03 / MAX: 6.71
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810Min: 3.53 / Avg: 3.63 / Max: 3.72Min: 3.19 / Avg: 3.29 / Max: 3.38Min: 4.66 / Avg: 4.67 / Max: 4.68Min: 3.34 / Avg: 3.37 / Max: 3.41Min: 4.7 / Avg: 4.83 / Max: 4.9Min: 3.8 / Avg: 3.83 / Max: 3.87Min: 6.11 / Avg: 6.24 / Max: 6.32

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U110K220K330K440K550KSE +/- 518.29, N = 3SE +/- 1081.93, N = 3SE +/- 1809.88, N = 3SE +/- 2073.08, N = 3SE +/- 2481.74, N = 3SE +/- 832.58, N = 3SE +/- 852.14, N = 32954003425642744155161743935134404784018831. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U90K180K270K360K450KMin: 294634 / Avg: 295400.33 / Max: 296388Min: 340405 / Avg: 342564 / Max: 343769Min: 272238 / Avg: 274415 / Max: 278008Min: 512253 / Avg: 516173.67 / Max: 519302Min: 390059 / Avg: 393513 / Max: 398327Min: 438872 / Avg: 440478 / Max: 441662Min: 400209 / Avg: 401882.67 / Max: 4029981. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

LibRaw

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

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U918273645SE +/- 0.04, N = 3SE +/- 0.41, N = 3SE +/- 0.24, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.33, N = 3SE +/- 0.08, N = 328.4425.2140.5922.1027.9827.1433.231. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U816243240Min: 28.36 / Avg: 28.44 / Max: 28.49Min: 24.78 / Avg: 25.21 / Max: 26.04Min: 40.12 / Avg: 40.59 / Max: 40.89Min: 21.82 / Avg: 22.1 / Max: 22.56Min: 27.93 / Avg: 27.98 / Max: 28.01Min: 26.78 / Avg: 27.14 / Max: 27.8Min: 33.09 / Avg: 33.23 / Max: 33.371. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

NeatBench

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

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPURyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215SE +/- 0.02, N = 8SE +/- 0.02, N = 7SE +/- 0.08, N = 7SE +/- 0.05, N = 7SE +/- 0.01, N = 7SE +/- 0.03, N = 3SE +/- 0.07, N = 38.1510.207.697.9510.6013.607.57
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPURyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U48121620Min: 8.05 / Avg: 8.15 / Max: 8.22Min: 10.2 / Avg: 10.24 / Max: 10.3Min: 7.22 / Avg: 7.69 / Max: 7.84Min: 7.78 / Avg: 7.95 / Max: 8.2Min: 10.6 / Avg: 10.61 / Max: 10.7Min: 13.5 / Avg: 13.57 / Max: 13.6Min: 7.46 / Avg: 7.57 / Max: 7.71

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U816243240SE +/- 0.34, N = 3SE +/- 0.03, N = 3SE +/- 0.27, N = 15SE +/- 0.41, N = 3SE +/- 0.34, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 322.8620.5721.5732.3218.0818.9219.28MIN: 21.64 / MAX: 40.99MIN: 19.55 / MAX: 36.29MIN: 20.2 / MAX: 177.09MIN: 29.7 / MAX: 48.01MIN: 17.25 / MAX: 28.23MIN: 17.55 / MAX: 30.87MIN: 19.15 / MAX: 19.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U714212835Min: 22.23 / Avg: 22.86 / Max: 23.41Min: 20.53 / Avg: 20.57 / Max: 20.63Min: 20.42 / Avg: 21.57 / Max: 25.08Min: 31.82 / Avg: 32.32 / Max: 33.14Min: 17.4 / Avg: 18.08 / Max: 18.44Min: 18.84 / Avg: 18.92 / Max: 18.96Min: 19.26 / Avg: 19.28 / Max: 19.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

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

OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10160320480640800SE +/- 1.96, N = 3SE +/- 2.86, N = 3SE +/- 8.76, N = 12SE +/- 1.16, N = 3SE +/- 5.52, N = 5SE +/- 10.86, N = 12449.51549.84491.30407.56453.76723.141. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2
OpenBenchmarking.orgOverall Score, More Is BetterSeleniumBenchmark: Basemark - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10130260390520650Min: 445.61 / Avg: 449.51 / Max: 451.73Min: 545.34 / Avg: 549.84 / Max: 555.15Min: 451.36 / Avg: 491.3 / Max: 542.52Min: 405.52 / Avg: 407.56 / Max: 409.53Min: 432.79 / Avg: 453.76 / Max: 464.01Min: 670.4 / Avg: 723.14 / Max: 778.371. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U160320480640800676465730412628535621

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-onlyRyzen 7 PRO 4750URyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G73691215SE +/- 0.006, N = 3SE +/- 0.010, N = 6SE +/- 0.130, N = 15SE +/- 0.141, N = 15SE +/- 0.081, N = 15SE +/- 0.004, N = 55.9936.4208.0315.4789.6327.249
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyRyzen 7 PRO 4750URyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G73691215Min: 5.98 / Avg: 5.99 / Max: 6Min: 6.4 / Avg: 6.42 / Max: 6.47Min: 6.45 / Avg: 8.03 / Max: 8.27Min: 5.23 / Avg: 5.48 / Max: 7.34Min: 8.72 / Avg: 9.63 / Max: 9.82Min: 7.24 / Avg: 7.25 / Max: 7.26

Selenium

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

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1020406080100SE +/- 0.37, N = 3SE +/- 0.16, N = 3SE +/- 0.34, N = 3SE +/- 0.46, N = 3SE +/- 0.54, N = 3SE +/- 1.33, N = 363.5188.6762.1075.8074.60109.001. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2
OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1020406080100Min: 63 / Avg: 63.51 / Max: 64.23Min: 88.5 / Avg: 88.67 / Max: 88.98Min: 61.4 / Avg: 62.07 / Max: 62.5Min: 75.2 / Avg: 75.8 / Max: 76.7Min: 73.5 / Avg: 74.57 / Max: 75.2Min: 106 / Avg: 108.67 / Max: 1101. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U306090120150SE +/- 0.42, N = 3SE +/- 0.02, N = 3SE +/- 0.82, N = 15SE +/- 0.17, N = 3SE +/- 1.35, N = 3SE +/- 0.14, N = 3SE +/- 0.26, N = 3109.8571.56111.31112.0863.9572.54104.14MIN: 107.76 / MAX: 158.7MIN: 70.12 / MAX: 87.59MIN: 106.75 / MAX: 822.84MIN: 110.43 / MAX: 137.73MIN: 60.08 / MAX: 81.01MIN: 67.38 / MAX: 94.03MIN: 103.25 / MAX: 136.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100Min: 109.05 / Avg: 109.85 / Max: 110.48Min: 71.53 / Avg: 71.56 / Max: 71.59Min: 107.97 / Avg: 111.31 / Max: 117.75Min: 111.88 / Avg: 112.08 / Max: 112.42Min: 61.29 / Avg: 63.95 / Max: 65.66Min: 72.27 / Avg: 72.54 / Max: 72.75Min: 103.74 / Avg: 104.14 / Max: 104.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U7K14K21K28K35KSE +/- 304.64, N = 4SE +/- 249.42, N = 3SE +/- 127.92, N = 3SE +/- 146.51, N = 3SE +/- 53.05, N = 3SE +/- 195.56, N = 3SE +/- 27.71, N = 3229121953428780177862178921774305501. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U5K10K15K20K25KMin: 22296 / Avg: 22912 / Max: 23745Min: 19162 / Avg: 19534.33 / Max: 20008Min: 28527 / Avg: 28780.33 / Max: 28938Min: 17637 / Avg: 17786 / Max: 18079Min: 21693 / Avg: 21789.33 / Max: 21876Min: 21391 / Avg: 21773.67 / Max: 22035Min: 30513 / Avg: 30549.67 / Max: 306041. (CXX) g++ options: -pipe -lpthread

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyRyzen 7 PRO 4750URyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G73691215SE +/- 0.017, N = 3SE +/- 0.015, N = 5SE +/- 0.167, N = 15SE +/- 0.071, N = 5SE +/- 0.091, N = 15SE +/- 0.015, N = 58.0239.81711.2918.10013.3879.942
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyRyzen 7 PRO 4750URyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G748121620Min: 8 / Avg: 8.02 / Max: 8.06Min: 9.78 / Avg: 9.82 / Max: 9.86Min: 8.96 / Avg: 11.29 / Max: 11.56Min: 7.98 / Avg: 8.1 / Max: 8.37Min: 12.16 / Avg: 13.39 / Max: 13.58Min: 9.89 / Avg: 9.94 / Max: 9.97

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10612182430SE +/- 0.32, N = 3SE +/- 0.23, N = 3SE +/- 0.08, N = 15SE +/- 0.19, N = 3SE +/- 0.21, N = 5SE +/- 0.40, N = 318.1221.8516.2226.6219.8919.82MIN: 12.98 / MAX: 38.17MIN: 19.51 / MAX: 25.69MIN: 12.32 / MAX: 38.22MIN: 24.09 / MAX: 39.59MIN: 15.18 / MAX: 22.91MIN: 13.03 / MAX: 48.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10612182430Min: 17.53 / Avg: 18.12 / Max: 18.64Min: 21.59 / Avg: 21.85 / Max: 22.3Min: 15.87 / Avg: 16.22 / Max: 17.14Min: 26.29 / Avg: 26.62 / Max: 26.94Min: 19.18 / Avg: 19.89 / Max: 20.35Min: 19.23 / Avg: 19.82 / Max: 20.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

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

OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1020406080100SE +/- 0.24, N = 3SE +/- 0.62, N = 3SE +/- 0.06, N = 3SE +/- 0.83, N = 3SE +/- 0.81, N = 3SE +/- 0.20, N = 359.586.763.976.067.896.71. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2
OpenBenchmarking.orgRuns / Minute, More Is BetterSeleniumBenchmark: StyleBench - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1020406080100Min: 59.2 / Avg: 59.53 / Max: 60Min: 85.8 / Avg: 86.7 / Max: 87.9Min: 63.8 / Avg: 63.9 / Max: 64Min: 74.8 / Avg: 76.03 / Max: 77.6Min: 66.4 / Avg: 67.83 / Max: 69.2Min: 96.5 / Avg: 96.7 / Max: 97.11. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2

Hugin

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

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100SE +/- 0.35, N = 3SE +/- 0.77, N = 3SE +/- 0.42, N = 3SE +/- 0.39, N = 3SE +/- 0.53, N = 3SE +/- 0.95, N = 3SE +/- 0.53, N = 365.3879.1660.2987.1876.1971.2155.07
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100Min: 64.72 / Avg: 65.38 / Max: 65.9Min: 77.74 / Avg: 79.16 / Max: 80.36Min: 59.64 / Avg: 60.29 / Max: 61.07Min: 86.41 / Avg: 87.18 / Max: 87.65Min: 75.6 / Avg: 76.19 / Max: 77.24Min: 69.39 / Avg: 71.21 / Max: 72.56Min: 54.47 / Avg: 55.07 / Max: 56.12

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U714212835SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.47, N = 15SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 327.7922.5923.2129.8319.1821.7122.55MIN: 25.64 / MAX: 56.64MIN: 20.34 / MAX: 44.74MIN: 21.3 / MAX: 224.03MIN: 27.42 / MAX: 49.41MIN: 18.16 / MAX: 22.24MIN: 19.06 / MAX: 31.98MIN: 21.95 / MAX: 23.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U714212835Min: 27.5 / Avg: 27.79 / Max: 27.98Min: 22.54 / Avg: 22.59 / Max: 22.66Min: 21.52 / Avg: 23.21 / Max: 29.51Min: 29.73 / Avg: 29.83 / Max: 29.88Min: 18.85 / Avg: 19.18 / Max: 19.39Min: 21.68 / Avg: 21.71 / Max: 21.74Min: 22.42 / Avg: 22.55 / Max: 22.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215SE +/- 0.013, N = 5SE +/- 0.084, N = 15SE +/- 0.026, N = 5SE +/- 0.063, N = 5SE +/- 0.012, N = 5SE +/- 0.103, N = 3SE +/- 0.034, N = 39.0699.9038.95410.97711.2857.3909.308
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215Min: 9.04 / Avg: 9.07 / Max: 9.11Min: 9.41 / Avg: 9.9 / Max: 10.57Min: 8.9 / Avg: 8.95 / Max: 9.04Min: 10.84 / Avg: 10.98 / Max: 11.18Min: 11.25 / Avg: 11.28 / Max: 11.32Min: 7.27 / Avg: 7.39 / Max: 7.6Min: 9.27 / Avg: 9.31 / Max: 9.38

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1020406080100SE +/- 0.40, N = 3SE +/- 0.18, N = 3SE +/- 0.71, N = 3SE +/- 0.53, N = 3SE +/- 0.24, N = 3SE +/- 1.52, N = 384.0495.0784.1079.4171.52109.051. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1020406080100Min: 83.24 / Avg: 84.04 / Max: 84.45Min: 94.73 / Avg: 95.07 / Max: 95.32Min: 82.94 / Avg: 84.1 / Max: 85.4Min: 78.42 / Avg: 79.41 / Max: 80.26Min: 71.05 / Avg: 71.52 / Max: 71.88Min: 106.05 / Avg: 109.05 / Max: 110.921. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U306090120150SE +/- 0.53, N = 3SE +/- 1.02, N = 3SE +/- 0.81, N = 9SE +/- 0.86, N = 3SE +/- 1.60, N = 3SE +/- 0.51, N = 3SE +/- 0.05, N = 387.39114.7782.88126.35101.74100.2986.001. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100Min: 86.44 / Avg: 87.39 / Max: 88.26Min: 112.73 / Avg: 114.77 / Max: 115.79Min: 77.57 / Avg: 82.87 / Max: 84.53Min: 124.63 / Avg: 126.35 / Max: 127.21Min: 98.6 / Avg: 101.74 / Max: 103.87Min: 99.27 / Avg: 100.29 / Max: 100.9Min: 85.89 / Avg: 85.99 / Max: 86.061. RawTherapee, version 5.8, command line.

LAME MP3 Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215SE +/- 0.003, N = 6SE +/- 0.003, N = 6SE +/- 0.006, N = 6SE +/- 0.007, N = 5SE +/- 0.020, N = 5SE +/- 0.006, N = 3SE +/- 0.026, N = 37.8137.9577.4288.64610.1096.6387.435-lncurses-lncurses1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215Min: 7.8 / Avg: 7.81 / Max: 7.82Min: 7.94 / Avg: 7.96 / Max: 7.97Min: 7.41 / Avg: 7.43 / Max: 7.45Min: 8.62 / Avg: 8.65 / Max: 8.66Min: 10.03 / Avg: 10.11 / Max: 10.14Min: 6.63 / Avg: 6.64 / Max: 6.65Min: 7.41 / Avg: 7.44 / Max: 7.491. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.102004006008001000SE +/- 6.53, N = 3SE +/- 1.36, N = 3SE +/- 5.62, N = 3SE +/- 3.58, N = 3SE +/- 3.37, N = 3SE +/- 0.12, N = 3892.3830.1874.0975.91020.4672.31. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2
OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.102004006008001000Min: 880.4 / Avg: 892.33 / Max: 902.9Min: 828.5 / Avg: 830.1 / Max: 832.8Min: 862.8 / Avg: 874.03 / Max: 880.1Min: 968.9 / Avg: 975.87 / Max: 980.8Min: 1016.7 / Avg: 1020.37 / Max: 1027.1Min: 672.1 / Avg: 672.3 / Max: 672.51. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2

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: AntialiasRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1224364860SE +/- 0.03, N = 3SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.47, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 341.8843.0740.6647.6151.7334.1540.11
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1020304050Min: 41.84 / Avg: 41.88 / Max: 41.94Min: 42.24 / Avg: 43.07 / Max: 43.52Min: 40.56 / Avg: 40.66 / Max: 40.75Min: 46.67 / Avg: 47.61 / Max: 48.14Min: 51.64 / Avg: 51.73 / Max: 51.88Min: 33.86 / Avg: 34.15 / Max: 34.32Min: 39.99 / Avg: 40.11 / Max: 40.23

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: mobilenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U918273645SE +/- 0.38, N = 3SE +/- 0.22, N = 3SE +/- 0.49, N = 15SE +/- 0.29, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.28, N = 328.3833.2026.6039.6530.8231.3628.51MIN: 25.72 / MAX: 63.08MIN: 31.71 / MAX: 48.84MIN: 24.68 / MAX: 356.43MIN: 38.4 / MAX: 62.44MIN: 30.27 / MAX: 49.36MIN: 29.92 / MAX: 54.81MIN: 27.55 / MAX: 29.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U816243240Min: 27.99 / Avg: 28.38 / Max: 29.14Min: 32.97 / Avg: 33.2 / Max: 33.65Min: 25.84 / Avg: 26.6 / Max: 33.31Min: 39.22 / Avg: 39.65 / Max: 40.2Min: 30.76 / Avg: 30.82 / Max: 30.88Min: 31.23 / Avg: 31.36 / Max: 31.56Min: 28.23 / Avg: 28.51 / Max: 29.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U714212835SE +/- 0.22, N = 3SE +/- 0.22, N = 9SE +/- 0.12, N = 3SE +/- 0.35, N = 3SE +/- 0.42, N = 4SE +/- 0.32, N = 3SE +/- 0.10, N = 330.5622.1431.8621.3928.2225.0831.021. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.1.2H.265 1080p Video EncodingRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U714212835Min: 30.16 / Avg: 30.56 / Max: 30.93Min: 21.83 / Avg: 22.14 / Max: 23.86Min: 31.65 / Avg: 31.86 / Max: 32.07Min: 21.02 / Avg: 21.39 / Max: 22.09Min: 27.29 / Avg: 28.22 / Max: 29.22Min: 24.6 / Avg: 25.08 / Max: 25.68Min: 30.89 / Avg: 31.02 / Max: 31.211. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U30060090012001500127910391367919131511481210

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.103K6K9K12K15KSE +/- 122.05, N = 5SE +/- 46.36, N = 3SE +/- 61.24, N = 3SE +/- 140.32, N = 3SE +/- 126.97, N = 3SE +/- 88.79, N = 39794119269971989510811145241. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2
OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: CanvasMark - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.103K6K9K12K15KMin: 9403 / Avg: 9793.8 / Max: 10115Min: 11870 / Avg: 11926 / Max: 12018Min: 9875 / Avg: 9971.33 / Max: 10085Min: 9743 / Avg: 9894.67 / Max: 10175Min: 10663 / Avg: 10811.33 / Max: 11064Min: 14383 / Avg: 14524 / Max: 146881. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1326395265SE +/- 0.08, N = 3SE +/- 0.68, N = 3SE +/- 0.08, N = 3SE +/- 0.54, N = 3SE +/- 0.11, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 345.9348.6344.9656.5648.7238.1744.521. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1122334455Min: 45.79 / Avg: 45.93 / Max: 46.08Min: 47.27 / Avg: 48.63 / Max: 49.33Min: 44.85 / Avg: 44.96 / Max: 45.11Min: 55.49 / Avg: 56.56 / Max: 57.13Min: 48.59 / Avg: 48.72 / Max: 48.95Min: 37.71 / Avg: 38.17 / Max: 38.44Min: 44.2 / Avg: 44.52 / Max: 44.931. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215SE +/- 0.012, N = 5SE +/- 0.229, N = 20SE +/- 0.097, N = 6SE +/- 0.068, N = 5SE +/- 0.025, N = 5SE +/- 0.017, N = 5SE +/- 0.006, N = 58.6149.3718.7869.61711.0327.5068.099-logg-logg-logg-logg1. (CXX) g++ options: -O2 -fvisibility=hidden -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215Min: 8.58 / Avg: 8.61 / Max: 8.65Min: 8.87 / Avg: 9.37 / Max: 13.1Min: 8.52 / Avg: 8.79 / Max: 9.2Min: 9.43 / Avg: 9.62 / Max: 9.77Min: 10.99 / Avg: 11.03 / Max: 11.13Min: 7.45 / Avg: 7.51 / Max: 7.54Min: 8.08 / Avg: 8.1 / Max: 8.121. (CXX) g++ options: -O2 -fvisibility=hidden -lm

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100SE +/- 0.33, N = 3SE +/- 0.55, N = 13SE +/- 0.75, N = 12SE +/- 0.76, N = 5SE +/- 0.20, N = 3SE +/- 0.70, N = 8SE +/- 0.16, N = 377.5566.2888.7660.8179.6469.0088.63MIN: 72.78 / MAX: 87.2MIN: 56.56 / MAX: 111.27MIN: 83.11 / MAX: 100.52MIN: 52.86 / MAX: 91.31MIN: 72.86 / MAX: 92.93MIN: 58.45 / MAX: 123.42MIN: 75.2 / MAX: 93.311. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U20406080100Min: 77.02 / Avg: 77.55 / Max: 78.15Min: 65.61 / Avg: 66.28 / Max: 72.9Min: 86.66 / Avg: 88.76 / Max: 94.51Min: 60 / Avg: 60.81 / Max: 63.87Min: 79.43 / Avg: 79.64 / Max: 80.03Min: 67.56 / Avg: 69 / Max: 73.78Min: 88.39 / Avg: 88.63 / Max: 88.921. (CC) gcc options: -pthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1048121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 15SE +/- 0.09, N = 3SE +/- 0.03, N = 5SE +/- 0.17, N = 313.1816.7812.4016.6311.5211.82MIN: 12.74 / MAX: 14.05MIN: 16.45 / MAX: 18.83MIN: 11.73 / MAX: 13.6MIN: 15.74 / MAX: 21.11MIN: 10.93 / MAX: 17.07MIN: 10.97 / MAX: 16.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1048121620Min: 13.12 / Avg: 13.18 / Max: 13.25Min: 16.75 / Avg: 16.78 / Max: 16.8Min: 12.24 / Avg: 12.4 / Max: 12.64Min: 16.53 / Avg: 16.63 / Max: 16.8Min: 11.42 / Avg: 11.52 / Max: 11.63Min: 11.5 / Avg: 11.82 / Max: 12.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1326395265SE +/- 0.59, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 15SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.22, N = 349.9552.5441.2857.6744.3450.6443.80MIN: 44.11 / MAX: 97.49MIN: 51.61 / MAX: 71.22MIN: 40.06 / MAX: 152.02MIN: 49.12 / MAX: 88.32MIN: 41.77 / MAX: 61.06MIN: 47.28 / MAX: 63.57MIN: 42.72 / MAX: 77.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ryzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1122334455Min: 49.05 / Avg: 49.95 / Max: 51.06Min: 52.52 / Avg: 52.54 / Max: 52.58Min: 40.91 / Avg: 41.28 / Max: 42.86Min: 57.63 / Avg: 57.67 / Max: 57.71Min: 43.79 / Avg: 44.34 / Max: 44.62Min: 50.46 / Avg: 50.64 / Max: 50.75Min: 43.44 / Avg: 43.8 / Max: 44.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U816243240SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.65, N = 15SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 325.3128.1624.1133.5726.5526.2825.71MIN: 22.86 / MAX: 63.78MIN: 27.28 / MAX: 48.41MIN: 21.23 / MAX: 564.92MIN: 32.22 / MAX: 53.63MIN: 26.14 / MAX: 44.83MIN: 25.51 / MAX: 28.56MIN: 24.78 / MAX: 27.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U714212835Min: 24.89 / Avg: 25.31 / Max: 25.68Min: 28.03 / Avg: 28.16 / Max: 28.34Min: 21.76 / Avg: 24.11 / Max: 31.94Min: 33.46 / Avg: 33.57 / Max: 33.77Min: 26.53 / Avg: 26.55 / Max: 26.57Min: 26.18 / Avg: 26.28 / Max: 26.35Min: 25.38 / Avg: 25.71 / Max: 26.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U918273645SE +/- 0.25, N = 20SE +/- 0.45, N = 4SE +/- 0.37, N = 20SE +/- 0.44, N = 5SE +/- 0.04, N = 4SE +/- 0.19, N = 4SE +/- 0.15, N = 433.1430.9830.9733.3139.3928.6228.871. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U816243240Min: 29.64 / Avg: 33.14 / Max: 34.44Min: 29.72 / Avg: 30.98 / Max: 31.82Min: 28.65 / Avg: 30.97 / Max: 35.47Min: 31.57 / Avg: 33.31 / Max: 33.92Min: 39.27 / Avg: 39.39 / Max: 39.46Min: 28.09 / Avg: 28.62 / Max: 28.9Min: 28.47 / Avg: 28.87 / Max: 29.211. (CC) gcc options: -O2 -std=c99

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U150300450600750603574637507687613589

WireGuard + Linux Networking Stack Stress Test

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U70140210280350SE +/- 1.28, N = 3SE +/- 1.61, N = 3SE +/- 1.14, N = 3SE +/- 1.62, N = 3SE +/- 1.29, N = 3SE +/- 0.86, N = 3SE +/- 2.13, N = 3276.87328.95253.88319.88278.24283.21330.14
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U60120180240300Min: 274.91 / Avg: 276.87 / Max: 279.28Min: 327.17 / Avg: 328.95 / Max: 332.17Min: 252.51 / Avg: 253.88 / Max: 256.15Min: 317.73 / Avg: 319.88 / Max: 323.05Min: 276.54 / Avg: 278.24 / Max: 280.76Min: 281.5 / Avg: 283.21 / Max: 284.29Min: 327.36 / Avg: 330.13 / Max: 334.33

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1224364860SE +/- 0.46, N = 3SE +/- 0.14, N = 3SE +/- 0.73, N = 15SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 348.0643.7543.6152.2940.4740.9143.79MIN: 44.99 / MAX: 83.21MIN: 41.77 / MAX: 57.97MIN: 39.8 / MAX: 402.4MIN: 50.64 / MAX: 76.11MIN: 39.44 / MAX: 55.86MIN: 39.66 / MAX: 44.02MIN: 42.83 / MAX: 45.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1020304050Min: 47.15 / Avg: 48.06 / Max: 48.65Min: 43.53 / Avg: 43.75 / Max: 44.01Min: 40.32 / Avg: 43.61 / Max: 48.77Min: 52.18 / Avg: 52.29 / Max: 52.52Min: 40.42 / Avg: 40.47 / Max: 40.53Min: 40.81 / Avg: 40.91 / Max: 40.97Min: 43.2 / Avg: 43.79 / Max: 44.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Selenium

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

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10400800120016002000SE +/- 8.17, N = 3SE +/- 1.00, N = 3SE +/- 3.61, N = 3SE +/- 22.23, N = 12SE +/- 19.44, N = 141768150917511854187414911. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2
OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.1030060090012001500Min: 1759 / Avg: 1767.67 / Max: 1784Min: 1508 / Avg: 1509 / Max: 1511Min: 1746 / Avg: 1751 / Max: 1758Min: 1626 / Avg: 1854.33 / Max: 1941Min: 1254 / Avg: 1491.29 / Max: 15371. Ryzen 5 4500U: firefox 81.02. Core i7 1065G7: firefox 81.03. Ryzen 7 4700U: firefox 81.04. Core i7 8565U: firefox 81.05. Core i7 1165G7: firefox 81.06. Core i7 1165G7 - Ubuntu 20.10: firefox 81.0.2

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810SE +/- 0.007, N = 3SE +/- 0.033, N = 36.1285.279MIN: 5.98 / MAX: 22.15MIN: 5.13 / MAX: 18.731. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810Min: 6.12 / Avg: 6.13 / Max: 6.14Min: 5.24 / Avg: 5.28 / Max: 5.341. (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: CPU - Model: blazefaceCore i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U0.48150.9631.44451.9262.4075SE +/- 0.00, N = 3SE +/- 0.02, N = 32.142.03MIN: 1.95 / MAX: 2.7MIN: 1.95 / MAX: 2.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceCore i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810Min: 2.13 / Avg: 2.14 / Max: 2.14Min: 2 / Avg: 2.03 / Max: 2.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCore i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U612182430SE +/- 0.05, N = 3SE +/- 0.12, N = 324.9924.59MIN: 22.8 / MAX: 37.78MIN: 23.72 / MAX: 25.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetCore i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U612182430Min: 24.94 / Avg: 24.99 / Max: 25.1Min: 24.47 / Avg: 24.59 / Max: 24.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentCore i7 1165G7 - Ubuntu 20.101020304050SE +/- 0.52, N = 344.28

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyCore i7 1165G7 - Ubuntu 20.10918273645SE +/- 0.46, N = 340.90MIN: 27.17 / MAX: 87.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Core i7 1165G7 - Ubuntu 20.10246810SE +/- 0.05, N = 37.85MIN: 6.57 / MAX: 8.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyCore i7 1165G7 - Ubuntu 20.103691215SE +/- 0.152, N = 129.177

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceCore i7 1165G7 - Ubuntu 20.100.47930.95861.43791.91722.3965SE +/- 0.33, N = 32.13MIN: 1.39 / MAX: 3.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Core i7 1165G7 - Ubuntu 20.103691215SE +/- 0.40, N = 310.56MIN: 9.41 / MAX: 12.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215SE +/- 0.40, N = 3SE +/- 0.03, N = 311.0910.49MIN: 7.27 / MAX: 14.09MIN: 10.18 / MAX: 11.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215Min: 10.29 / Avg: 11.09 / Max: 11.5Min: 10.44 / Avg: 10.49 / Max: 10.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetCore i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810SE +/- 0.92, N = 3SE +/- 0.04, N = 36.996.39MIN: 5.1 / MAX: 16.89MIN: 6.23 / MAX: 13.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetCore i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215Min: 5.15 / Avg: 6.99 / Max: 7.93Min: 6.34 / Avg: 6.39 / Max: 6.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1.15432.30863.46294.61725.7715SE +/- 0.58, N = 3SE +/- 0.01, N = 34.895.13MIN: 3.68 / MAX: 5.81MIN: 4.91 / MAX: 5.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810Min: 3.74 / Avg: 4.89 / Max: 5.48Min: 5.12 / Avg: 5.13 / Max: 5.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810SE +/- 0.98, N = 3SE +/- 0.03, N = 36.486.76MIN: 4.46 / MAX: 19.97MIN: 6.5 / MAX: 7.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215Min: 4.53 / Avg: 6.48 / Max: 7.49Min: 6.72 / Avg: 6.76 / Max: 6.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810SE +/- 1.06, N = 3SE +/- 0.04, N = 37.548.16MIN: 5.37 / MAX: 11.1MIN: 7.87 / MAX: 8.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U3691215Min: 5.44 / Avg: 7.54 / Max: 8.82Min: 8.11 / Avg: 8.16 / Max: 8.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyCore i7 1165G7 - Ubuntu 20.10246810SE +/- 0.165, N = 127.426

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyCore i7 1165G7 - Ubuntu 20.1048121620SE +/- 0.34, N = 1216.75

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

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

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G720406080100Min: 34.75 / Avg: 79.57 / Max: 104.13Min: 42 / Avg: 69.59 / Max: 100Min: 39 / Avg: 66.13 / Max: 103.38Min: 42 / Avg: 73.11 / Max: 100Min: 45 / Avg: 65.94 / Max: 86

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 1165G77001400210028003500Min: 1070 / Avg: 2996.15 / Max: 3994Min: 846 / Avg: 2407.04 / Max: 3905Min: 1397 / Avg: 3192.11 / Max: 4192Min: 1079 / Avg: 2624.44 / Max: 3953

LAMMPS Molecular Dynamics Simulator

MinAvgMaxRyzen 5 4500U44.367.173.8Core i7 1065G748.065.794.0Ryzen 7 4700U48.678.587.4Core i7 8565U47.070.5100.0Core i7 1165G748.062.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100

MinAvgMaxRyzen 5 4500U139725783645Core i7 1065G7110122203545Ryzen 7 4700U139727974148Core i7 1165G7120024763104OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Peak Freq (Highest CPU Core Frequency) Monitor11002200330044005500

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U1.30232.60463.90695.20926.5115SE +/- 0.013, N = 7SE +/- 0.086, N = 15SE +/- 0.011, N = 9SE +/- 0.063, N = 15SE +/- 0.029, N = 8SE +/- 0.062, N = 15SE +/- 0.016, N = 34.0412.6415.7882.1132.8282.6944.4111. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRyzen 5 4500UCore i7 1065G7Ryzen 7 4700UCore i7 8565UCore i7 1165G7Core i7 1165G7 - Ubuntu 20.10Ryzen 7 PRO 4750U246810Min: 3.99 / Avg: 4.04 / Max: 4.09Min: 2.29 / Avg: 2.64 / Max: 3.18Min: 5.72 / Avg: 5.79 / Max: 5.82Min: 1.98 / Avg: 2.11 / Max: 2.97Min: 2.63 / Avg: 2.83 / Max: 2.87Min: 2.54 / Avg: 2.69 / Max: 3.55Min: 4.38 / Avg: 4.41 / Max: 4.441. (CXX) g++ options: -O3 -pthread -lm

109 Results Shown

NCNN:
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - vgg16
ctx_clock
GraphicsMagick
NCNN:
  Vulkan GPU - resnet50
  Vulkan GPU - resnet18
ParaView:
  Wavelet Contour - 1920 x 1080:
    Frames / Sec
    MiPolys / Sec
  Wavelet Volume - 1920 x 1080:
    Frames / Sec
    MiVoxels / Sec
TensorFlow Lite:
  Inception V4
  Inception ResNet V2
Mobile Neural Network
TensorFlow Lite:
  NASNet Mobile
  Mobilenet Float
Basemark GPU
TensorFlow Lite
Intel Open Image Denoise
TensorFlow Lite
NCNN
BRL-CAD
GraphicsMagick
Mobile Neural Network
Unigine Superposition
Basemark GPU
YafaRay
Mobile Neural Network
GraphicsMagick
Coremark
GraphicsMagick
ASTC Encoder
LuxCoreRender
NCNN
LuxCoreRender
NCNN
Embree
OCRMyPDF
Mobile Neural Network
NCNN
libavif avifenc
Timed Linux Kernel Compilation
Timed FFmpeg Compilation
GraphicsMagick
FFTE
Caffe
Build2
OpenVKL
SVT-AV1
Darktable
Embree
Caffe
LibRaw
NeatBench
NCNN
Selenium
AI Benchmark Alpha
Darktable
Selenium
NCNN
7-Zip Compression
Darktable
NCNN
Selenium
Hugin
NCNN
GEGL
Selenium
RawTherapee
LAME MP3 Encoding
Selenium
GEGL
NCNN
x265
AI Benchmark Alpha
Selenium
WebP Image Encode
FLAC Audio Encoding
dav1d
NCNN:
  Vulkan GPU - efficientnet-b0
  CPU - resnet50
  CPU - squeezenet
eSpeak-NG Speech Engine
AI Benchmark Alpha
WireGuard + Linux Networking Stack Stress Test
NCNN
Selenium
Mobile Neural Network
NCNN:
  CPU - blazeface
  CPU - googlenet
OCRMyPDF
NCNN:
  Vulkan GPU - yolov4-tiny
  Vulkan GPU-v2-v2 - mobilenet-v2
Darktable
NCNN:
  Vulkan GPU - blazeface
  Vulkan GPU-v3-v3 - mobilenet-v3
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
Darktable:
  Server Room - CPU-only
  Boat - CPU-only
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  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
LAMMPS Molecular Dynamics Simulator