System76 Thelio Major 3990X 2023 Benchmarks

AMD Ryzen Threadripper 3990X benchmarking by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302076-NE-3990XTHRE21
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2020
October 23 2020
  8 Hours, 23 Minutes
February 2023
February 06 2023
  7 Hours, 57 Minutes
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2020

Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200

OS: Pop 20.04, Kernel: 5.4.0-7642-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.8 (LLVM 10.0.0), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: snd_usb_audio.ignore_ctl_error=1
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/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
Disk Notes: NONE / errors=remount-ro,noatime,rw
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

February 2023

Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB + 257GB Flash Drive, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc7daily20230206-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.2.5 (LLVM 15.0.6 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301055
Graphics Notes: BAR1 / Visible vRAM Size: 256 MB - vBIOS Version: 113-D1820201-101
Java Notes: OpenJDK Runtime Environment (build 11.0.18+10-post-Ubuntu-0ubuntu1)
Python Notes: Python 3.11.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

System76 Thelio Major 3990X 2023 BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution2020February 2023AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS)AMD Starship/Matisse128GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioDELL P2415QIntel I211 + Intel Wi-Fi 6 AX200Pop 20.045.4.0-7642-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.0.8 (LLVM 10.0.0)1.2.128GCC 9.3.0ext43840x2160Samsung SSD 970 EVO Plus 500GB + 257GB Flash DriveAMD Radeon RX 5700 8GB (1750/875MHz)Ubuntu 23.046.2.0-060200rc7daily20230206-generic (x86_64)GNOME Shell 43.2X Server + Wayland4.6 Mesa 22.2.5 (LLVM 15.0.6 DRM 3.49)GCC 12.2.0OpenBenchmarking.orgKernel Details- 2020: snd_usb_audio.ignore_ctl_error=1- February 2023: Transparent Huge Pages: madviseCompiler Details- 2020: --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 - February 2023: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --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 Disk Details- 2020: NONE / errors=remount-ro,noatime,rw- February 2023: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- 2020: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025- February 2023: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301055Graphics Details- 2020: GLAMOR- February 2023: BAR1 / Visible vRAM Size: 256 MB - vBIOS Version: 113-D1820201-101Java Details- 2020: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- February 2023: OpenJDK Runtime Environment (build 11.0.18+10-post-Ubuntu-0ubuntu1)Python Details- 2020: Python 3.8.5- February 2023: Python 3.11.1Security Details- 2020: 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 STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - February 2023: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

2020 vs. February 2023 ComparisonPhoronix Test SuiteBaseline+111.2%+111.2%+222.4%+222.4%+333.6%+333.6%444.7%178.2%172.3%120.2%110.2%108.1%100%99.1%91.7%90.7%79.6%71.3%68.9%67.1%66.2%61.2%59.8%58.5%56.3%55.7%54.1%50.8%49.9%47%41.9%40.7%36.4%34.7%33.2%32.9%24%19.6%18.4%17.3%16.6%15.3%15.2%14.5%14.2%13.5%11.9%11.8%11.3%10.5%9.4%9.1%8.6%8.3%8.2%7.6%7.6%6.9%6.6%6.5%6.5%6.4%6.1%6%4.9%4.6%4.5%4.4%4.1%4%3.9%3.9%3.8%3.7%3.6%3.4%3.3%2.6%2.5%2.5%2.4%2.3%2.2%2.1%Vulkan GPU - alexnetVulkan GPU - vgg16Vulkan GPU-v3-v3 - mobilenet-v32.F.P.1.T4x - YesVulkan GPU-v2-v2 - mobilenet-v2Vulkan GPU - shufflenet-v2Vulkan GPU - mnasnetVulkan GPU - googlenetVulkan GPU - resnet50Vulkan GPU - resnet18goDust 2D tau100.0Vulkan GPU - yolov4-tinyfloatchaospickle_pure_pythonraytraceVulkan GPU - efficientnet-b0django_template2x - 3 - YesVulkan GPU - squeezenetcrypto_pyaesVulkan GPU - mobilenetP.I.O.A.3.V.1.TImage Rendering4x - NonbodyTime To Compile34.5%fatigue21920 x 1080Bosphorus 4K24.6%regex_compileBosphorus 1080p23.2%V.Q.O - Bosphorus 1080p20%air3840 x 2160 - High1.8.b.Y.T.H.V.E18.3%3840 x 2160 - UltraP.S.O - Bosphorus 1080p16.7%json_loadsColor EnhanceDhrystone 2Time To Compile15%Time To Compile14.6%Wavelet Blur8A.R.T3840 x 2160 - UltimateT.F.A.T.T3840 x 2160AntialiasClassroom - CPU-Only10.4%2to3Time To CompileBarbershop - CPU-Only9%vklBenchmark9%3840 x 2160 - LowSeek RandF.F.TWavelet Contour - 1920 x 1080Wavelet Contour - 1920 x 1080ReflectTile GlassRenderer2 - 3840 x 2160S.M.MM.M.B.S.T - f32 - CPU6.5%MemorialFishy Cat - CPU-Only6.3%D.L.M.FText RenderingR.N.N.I - f32 - CPU5.9%CoreMark Size 666 - I.P.S5.8%T.B.T5.7%IP Batch 1D - f32 - CPU5.2%O.B5.1%San Miguel - SciVisCropCompositeSqueezeNetXFrog Forest - Path Tracer4.1%CPU - yolov4-tinyV.G.RP.P.A.S.TRand ReadCartoon3.8%20k Atoms3.8%tfft2San Miguel - Path Tracer3.6%WAV To FLACNASA Streamlines - Path Tracer3.4%BMW27 - CPU-Only3.4%N.2.3.C.F.RQ.1.H.C3.4%Rhodopsin ProteinIP Batch All - f32 - CPU3.2%R.N.N.T - f32 - CPU3%Total Time2.9%XFrog Forest - SciVis2.8%Rand FillpathlibRand FillCPU - SqueezeNet v1.1proteinEmilyD.B.d - f32 - CPUNCNNNCNNNCNNG'MICRealSR-NCNNNCNNNCNNNCNNNCNNNCNNNCNNPyPerformanceMonte Carlo Simulations of Ionised NebulaeNCNNPyPerformancePyPerformancePyPerformancePyPerformanceNCNNPyPerformanceWaifu2x-NCNN VulkanNCNNPyPerformanceNCNNG'MICJava 2D MicrobenchmarkRealSR-NCNNPyPerformanceTimed PHP CompilationPolyhedron Fortran BenchmarksTesseractx265PyPerformancex265SVT-VP9Polyhedron Fortran BenchmarksXonoticSVT-HEVCXonoticSVT-VP9PyPerformanceGEGLBYTE Unix BenchmarkTimed Apache CompilationTimed MPlayer CompilationGEGLSQLiteJava 2D MicrobenchmarkXonoticPyBenchTesseractGEGLBlenderPyPerformanceTimed FFmpeg CompilationBlenderOpenVKLXonoticLevelDBLuaJITParaViewParaViewGEGLGEGLET: LegacyLuaJIToneDNNIntel Open Image DenoiseBlenderLuaJITJava 2D MicrobenchmarkoneDNNCoremarkRawTherapeeoneDNNOptcarrotOSPrayGEGLLuaJITTensorFlow LiteOSPrayRNNoiseNCNNJava 2D MicrobenchmarkHuginLevelDBGEGLLAMMPS Molecular Dynamics SimulatorPolyhedron Fortran BenchmarksOSPrayFLAC Audio EncodingOSPrayBlenderFFTEWebP Image EncodeLAMMPS Molecular Dynamics SimulatoroneDNNoneDNNStockfishOSPrayLevelDBPyPerformanceLevelDBTNNPolyhedron Fortran BenchmarksAppleseedoneDNN2020February 2023

System76 Thelio Major 3990X 2023 Benchmarksncnn: Vulkan GPU - alexnetncnn: Vulkan GPU-v3-v3 - mobilenet-v3gmic: 2D Function Plotting, 1000 Timesrealsr-ncnn: 4x - Yesncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - resnet18pyperformance: gomocassin: Dust 2D tau100.0ncnn: Vulkan GPU - yolov4-tinypyperformance: floatpyperformance: chaospyperformance: pickle_pure_pythonpyperformance: raytracencnn: Vulkan GPU - efficientnet-b0pyperformance: django_templatencnn: Vulkan GPU - squeezenetpyperformance: crypto_pyaesncnn: Vulkan GPU - mobilenetgmic: Plotting Isosurface Of A 3D Volume, 1000 Timesj2dbench: Image Renderingpyperformance: nbodybuild-php: Time To Compilepolyhedron: fatigue2tesseract: 1920 x 1080x265: Bosphorus 4Kpyperformance: regex_compilex265: Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080ppolyhedron: airxonotic: 3840 x 2160 - Highsvt-hevc: 1080p 8-bit YUV To HEVC Video Encodexonotic: 3840 x 2160 - Ultrasvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080ppyperformance: json_loadsgegl: Color Enhancebyte: Dhrystone 2build-apache: Time To Compilebuild-mplayer: Time To Compilegegl: Wavelet Blursqlite: 8j2dbench: All Rendering Testsxonotic: 3840 x 2160 - Ultimatepybench: Total For Average Test Timestesseract: 3840 x 2160gegl: Antialiasblender: Classroom - CPU-Onlypyperformance: 2to3build-ffmpeg: Time To Compileblender: Barbershop - CPU-Onlyopenvkl: vklBenchmarkxonotic: 3840 x 2160 - Lowleveldb: Seek Randparaview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080gegl: Reflectgegl: Tile Glassetlegacy: Renderer2 - 3840 x 2160luajit: Sparse Matrix Multiplyonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUoidn: Memorialblender: Fishy Cat - CPU-Onlyluajit: Dense LU Matrix Factorizationj2dbench: Text Renderingonednn: Recurrent Neural Network Inference - f32 - CPUcoremark: CoreMark Size 666 - Iterations Per Secondrawtherapee: Total Benchmark Timeoptcarrot: Optimized Benchmarkospray: San Miguel - SciVisgegl: Cropluajit: Compositetensorflow-lite: SqueezeNetospray: XFrog Forest - Path Tracerrnnoise: ncnn: CPU - yolov4-tinyj2dbench: Vector Graphics Renderinghugin: Panorama Photo Assistant + Stitching Timeleveldb: Rand Readgegl: Cartoonlammps: 20k Atomspolyhedron: tfft2ospray: San Miguel - Path Tracerencode-flac: WAV To FLACospray: NASA Streamlines - Path Tracerblender: BMW27 - CPU-Onlyffte: N=256, 3D Complex FFT Routinewebp: Quality 100, Highest Compressionlammps: Rhodopsin Proteinonednn: IP Batch All - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUstockfish: Total Timeospray: XFrog Forest - SciVisleveldb: Rand Fillpyperformance: pathlibleveldb: Rand Filltnn: CPU - SqueezeNet v1.1polyhedron: proteinappleseed: Emilyonednn: Deconvolution Batch deconv_3d - f32 - CPUgmic: 3D Elevated Function In Rand Colors, 100 Timesleveldb: Overwriteleveldb: Overwritehint: FLOATpyperformance: python_startuphmmer: Pfam Database Searchluajit: Monte Carlokripke: compress-zstd: 3git: Time To Complete Common Git Commandswebp: Quality 100, Losslesscouchdb: 100 - 1000 - 24openssl: RSA 4096-bit Performancecompress-zstd: 19webp: Quality 100, Lossless, Highest Compressionluajit: Jacobi Successive Over-Relaxationrays1bench: Large Sceneonednn: Deconvolution Batch deconv_1d - f32 - CPUnamd: ATPase Simulation - 327,506 Atomsleveldb: Rand Deleteleveldb: Fill Syncpolyhedron: induct2libraw: Post-Processing Benchmarkleveldb: Seq Fillleveldb: Seq Fillleveldb: Fill Syncospray: Magnetic Reconnection - SciVisospray: NASA Streamlines - SciVisncnn: Vulkan GPU - vgg16onednn: IP Batch 1D - f32 - CPUluajit: Fast Fourier Transformwaifu2x-ncnn: 2x - 3 - Yesrealsr-ncnn: 4x - No2020February 202329.858.47222.556114.4444.603.484.668.519.653.3423322315.0410810444143911.5547.55.821039.9819.3798553596.513150810835.45248.61369.069026.2516058.19326.721.71383.4692564208.29335.6182130394.0723.958.09743076608.721.26710.61364.725114.9977815320.9604010268.3078375941311.582241.07684.9530219.736131.12461.15506.6888296171.0293145.937301.8831.59132.965241.51221.290.50854427.0146.343668.7921836.339072177115.0682256436.97729650.510131.3367.468.8431541.4750791.37.3218.80936.307844283.975062146.739109.99794.52126.90849.085.707.97120.4132.43129515.004228937.13823.84523.7781328.32514646348613.7622.716.3623.726252.18012.72133.2447612.0715384.88622.8621.251373293210.0225212.8165.035506.84448811777285.848.36516.295119.18715077.381.733.5002055.73311.301.550970.42677597.9605953.96021.9241.83591.61223.92.443.4890.9184.361.26441254.699.10116.5125.483.11101.07654.4442.211.742.344.445.061.861361329.0065.064.52762777.3930.53.8668.76.7913.65412036752.94304680.247.69536.5490.629921.0612947.23272.241.43453.8810679176.07393.5244615337.6320.550.39749644913.124.45812.16256.548100.6928868529.0188221300.1137937842346.838137.16393.8127618.097142.95423550.0451355157.9383384.404324.7629.54530.932257.31301.160.54152928.7449.263894.0423141.430420648121.8002132341.73394953.400124.9570.758.4531610.4148673.67.0318.06934.928150041.012765644.999105.93298.07525.93547.355.507.69219.7433.53133898.121153687.37824.62924.5278338.11014231224613.3923.315.9608.572246.19112.44130.3290852.0293086.38323.2611.019367154749.5573012.6167.563513.88454622877196.047.81716.120120.37914942.882.333.2892067.42309.571.559130.42898595.5805975.09521.8541.90592.27623.92.443.4890.9130.321.32984275.535.90412.109OpenBenchmarking.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: alexnet2020February 2023714212835SE +/- 0.24, N = 3SE +/- 0.03, N = 329.855.48MIN: 25.42 / MAX: 55.99MIN: 5.13 / MAX: 10.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v32020February 2023246810SE +/- 0.24, N = 3SE +/- 0.00, N = 38.473.11MIN: 7.45 / MAX: 27.99MIN: 3.06 / MAX: 6.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 Times2020February 202350100150200250SE +/- 1.54, N = 3SE +/- 0.33, N = 3222.56101.081. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes2020February 2023306090120150SE +/- 0.16, N = 3SE +/- 0.51, N = 6114.4454.44

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-v2-v2 - Model: mobilenet-v22020February 20231.0352.073.1054.145.175SE +/- 0.01, N = 3SE +/- 0.01, N = 34.602.21MIN: 4.27 / MAX: 9.6MIN: 2.16 / MAX: 4.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v22020February 20230.7831.5662.3493.1323.915SE +/- 0.00, N = 3SE +/- 0.00, N = 33.481.74MIN: 3.38 / MAX: 4.25MIN: 1.72 / MAX: 2.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet2020February 20231.04852.0973.14554.1945.2425SE +/- 0.01, N = 3SE +/- 0.00, N = 34.662.34MIN: 4.41 / MAX: 5.4MIN: 2.3 / MAX: 2.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet2020February 2023246810SE +/- 0.02, N = 3SE +/- 0.00, N = 38.514.44MIN: 7.13 / MAX: 29.75MIN: 4.41 / MAX: 4.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet502020February 20233691215SE +/- 0.09, N = 2SE +/- 0.03, N = 39.655.06MIN: 9.05 / MAX: 31.86MIN: 4.98 / MAX: 14.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet182020February 20230.75151.5032.25453.0063.7575SE +/- 0.01, N = 3SE +/- 0.02, N = 33.341.86MIN: 3.22 / MAX: 5.29MIN: 1.79 / MAX: 10.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: go2020February 202350100150200250SE +/- 0.33, N = 3SE +/- 0.00, N = 3233136

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.02020February 202350100150200250SE +/- 0.88, N = 3SE +/- 1.45, N = 3223132-pthread-lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lz1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -lmpi_usempif08 -lmpi_mpifh -lmpi

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-tiny2020February 202348121620SE +/- 0.02, N = 3SE +/- 0.03, N = 315.049.00MIN: 12.6 / MAX: 42.1MIN: 8.84 / MAX: 12.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float2020February 202320406080100SE +/- 0.33, N = 3SE +/- 0.07, N = 3108.065.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos2020February 202320406080100SE +/- 0.03, N = 3104.064.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_python2020February 2023100200300400500SE +/- 2.40, N = 3SE +/- 0.00, N = 3441276

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace2020February 2023100200300400500SE +/- 0.33, N = 3439277

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-b02020February 20233691215SE +/- 0.11, N = 3SE +/- 0.08, N = 311.557.39MIN: 10.46 / MAX: 34.72MIN: 6.9 / MAX: 28.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template2020February 20231122334455SE +/- 0.23, N = 3SE +/- 0.03, N = 347.530.5

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: squeezenet2020February 20231.30952.6193.92855.2386.5475SE +/- 0.05, N = 3SE +/- 0.04, N = 35.823.86MIN: 5.53 / MAX: 19.72MIN: 3.7 / MAX: 4.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes2020February 202320406080100SE +/- 0.03, N = 3103.068.7

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: mobilenet2020February 20233691215SE +/- 0.16, N = 3SE +/- 0.02, N = 39.986.79MIN: 8.51 / MAX: 38.16MIN: 6.71 / MAX: 7.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 Times2020February 2023510152025SE +/- 0.02, N = 3SE +/- 0.08, N = 319.3813.651. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

Java 2D Microbenchmark

This test runs a series of microbenchmarks to check the performance of the OpenGL-based Java 2D pipeline and the underlying OpenGL drivers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: Image Rendering2020February 20233M6M9M12M15MSE +/- 33957.70, N = 4SE +/- 82053.86, N = 208553596.5112036752.94

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody2020February 202320406080100SE +/- 0.33, N = 3SE +/- 0.10, N = 3108.080.2

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileFebruary 202320201122334455SE +/- 0.09, N = 3SE +/- 0.05, N = 347.7035.45

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: fatigue22020February 2023112233445548.6136.50

Tesseract

Tesseract is a fork of Cube 2 Sauerbraten with numerous graphics and game-play improvements. Tesseract has been in development since 2012 while its first release happened in May of 2014. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 1920 x 10802020February 2023110220330440550SE +/- 3.18, N = 15SE +/- 4.02, N = 3369.07490.63

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KFebruary 20232020612182430SE +/- 0.03, N = 3SE +/- 0.07, N = 321.0626.251. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile2020February 20234080120160200SE +/- 0.58, N = 3SE +/- 0.33, N = 3160129

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pFebruary 202320201326395265SE +/- 0.14, N = 3SE +/- 0.21, N = 347.2358.191. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pFebruary 2023202070140210280350SE +/- 0.81, N = 3SE +/- 2.60, N = 3272.24326.721. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: air2020February 20230.38480.76961.15441.53921.9241.711.43

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: High2020February 2023100200300400500SE +/- 3.24, N = 3SE +/- 4.55, N = 3383.47453.88MIN: 235 / MAX: 737MIN: 209 / MAX: 809

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.4.11080p 8-bit YUV To HEVC Video EncodeFebruary 2023202050100150200250SE +/- 2.46, N = 3SE +/- 1.79, N = 3176.07208.291. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: Ultra2020February 202390180270360450SE +/- 0.35, N = 3SE +/- 4.49, N = 3335.62393.52MIN: 192 / MAX: 628MIN: 185 / MAX: 682

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pFebruary 2023202090180270360450SE +/- 3.73, N = 5SE +/- 2.19, N = 3337.63394.071. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads2020February 2023612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 323.920.5

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color Enhance2020February 20231326395265SE +/- 0.10, N = 3SE +/- 0.04, N = 358.1050.40

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 22020February 202311M22M33M44M55MSE +/- 368061.43, N = 12SE +/- 253679.25, N = 343076608.749644913.1

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileFebruary 20232020612182430SE +/- 0.07, N = 3SE +/- 0.02, N = 324.4621.27

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileFebruary 202320203691215SE +/- 0.02, N = 3SE +/- 0.03, N = 312.1610.61

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: Wavelet Blur2020February 20231428425670SE +/- 0.24, N = 3SE +/- 0.15, N = 364.7356.55

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 82020February 2023306090120150SE +/- 0.34, N = 3SE +/- 0.31, N = 3115.00100.69-ldl -lpthread-lreadline -ltermcap1. (CC) gcc options: -O2 -lz -lm

Java 2D Microbenchmark

This test runs a series of microbenchmarks to check the performance of the OpenGL-based Java 2D pipeline and the underlying OpenGL drivers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: All Rendering Tests2020February 20232M4M6M8M10MSE +/- 81902.34, N = 4SE +/- 27217.75, N = 47815320.968868529.02

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: Ultimate2020February 202370140210280350SE +/- 1.88, N = 3SE +/- 1.55, N = 3268.31300.11MIN: 52 / MAX: 532MIN: 55 / MAX: 559

PyBench

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Times2020February 20232004006008001000SE +/- 2.40, N = 3SE +/- 4.67, N = 3941842

Tesseract

Tesseract is a fork of Cube 2 Sauerbraten with numerous graphics and game-play improvements. Tesseract has been in development since 2012 while its first release happened in May of 2014. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 3840 x 21602020February 202380160240320400SE +/- 1.73, N = 3SE +/- 2.86, N = 3311.58346.84

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: Antialias2020February 2023918273645SE +/- 0.03, N = 3SE +/- 0.07, N = 341.0837.16

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyFebruary 2023202020406080100SE +/- 0.31, N = 3SE +/- 0.44, N = 393.8184.95

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to32020February 202370140210280350SE +/- 0.33, N = 3302276

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 Compile2020February 2023510152025SE +/- 0.06, N = 3SE +/- 0.03, N = 319.7418.10

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyFebruary 20232020306090120150SE +/- 0.41, N = 3SE +/- 0.27, N = 3142.95131.12

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: vklBenchmarkFebruary 20232020100200300400500SE +/- 2.19, N = 3SE +/- 1.89, N = 3423.00461.15MIN: 1 / MAX: 1246MIN: 1 / MAX: 1298

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: Low2020February 2023120240360480600SE +/- 1.68, N = 3SE +/- 3.70, N = 3506.69550.05MIN: 316 / MAX: 1048MIN: 252 / MAX: 1144

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek Random2020February 20234080120160200SE +/- 0.18, N = 3SE +/- 0.23, N = 3171.03157.94-lpthread1. (CXX) g++ options: -O3 -lsnappy

ParaView

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

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 10802020February 20237001400210028003500SE +/- 34.36, N = 7SE +/- 25.14, N = 113145.943384.40

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 10802020February 202370140210280350SE +/- 3.30, N = 7SE +/- 2.41, N = 11301.88324.76

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: Reflect2020February 2023714212835SE +/- 0.08, N = 3SE +/- 0.02, N = 331.5929.55

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile Glass2020February 2023816243240SE +/- 0.04, N = 3SE +/- 0.01, N = 332.9730.93

ET: Legacy

ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.75Renderer: Renderer2 - Resolution: 3840 x 21602020February 202360120180240300SE +/- 3.22, N = 3SE +/- 2.02, N = 3241.5257.3

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Sparse Matrix Multiply2020February 202330060090012001500SE +/- 3.63, N = 3SE +/- 1.63, N = 31221.291301.161. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUFebruary 202320200.12180.24360.36540.48720.609SE +/- 0.005684, N = 15SE +/- 0.006670, N = 40.5415290.508544MIN: 0.46-lpthread - MIN: 0.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

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: Memorial2020February 2023714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 327.0128.74

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyFebruary 202320201122334455SE +/- 0.12, N = 3SE +/- 0.02, N = 349.2646.34

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Dense LU Matrix Factorization2020February 20238001600240032004000SE +/- 18.22, N = 3SE +/- 7.37, N = 33668.793894.041. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

Java 2D Microbenchmark

This test runs a series of microbenchmarks to check the performance of the OpenGL-based Java 2D pipeline and the underlying OpenGL drivers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: Text Rendering2020February 20235K10K15K20K25KSE +/- 265.68, N = 4SE +/- 198.50, N = 2021836.3423141.43

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUFebruary 20232020306090120150SE +/- 0.99, N = 3SE +/- 0.34, N = 3121.80115.07MIN: 118.31-lpthread - MIN: 112.931. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

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 SecondFebruary 20232020500K1000K1500K2000K2500KSE +/- 14325.36, N = 3SE +/- 15042.16, N = 32132341.732256436.981. (CC) gcc options: -O2 -lrt" -lrt

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 TimeFebruary 202320201224364860SE +/- 0.26, N = 3SE +/- 0.04, N = 353.4050.511. February 2023: RawTherapee, version 5.9, command line.2. 2020: RawTherapee, version 5.8, command line.

Optcarrot

Optcarrot is an NES emulator benchmark for the Ruby language. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized BenchmarkFebruary 20232020306090120150SE +/- 1.09, N = 4SE +/- 0.25, N = 4124.95131.331. February 2023: ruby 3.0.4p208 (2022-04-12 revision 3fa771dded) [x86_64-linux-gnu]2. 2020: ruby 2.7.0p0 (2019-12-25 revision 647ee6f091) [x86_64-linux-gnu]

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVis2020February 20231632486480SE +/- 0.79, N = 6SE +/- 0.46, N = 1467.4670.75MIN: 62.5 / MAX: 76.92MIN: 62.5 / MAX: 76.92

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: Crop2020February 2023246810SE +/- 0.043, N = 3SE +/- 0.047, N = 38.8438.453

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Composite2020February 202330060090012001500SE +/- 2.00, N = 3SE +/- 1.82, N = 31541.471610.411. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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: SqueezeNet2020February 202311K22K33K44K55KSE +/- 188.76, N = 3SE +/- 262.36, N = 350791.348673.6

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerFebruary 20232020246810SE +/- 0.03, N = 3SE +/- 0.02, N = 37.037.32MIN: 6.9 / MAX: 7.25MIN: 7.04 / MAX: 7.52

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-282020February 2023510152025SE +/- 0.04, N = 3SE +/- 0.02, N = 318.8118.071. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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-tiny2020February 2023816243240SE +/- 0.24, N = 3SE +/- 0.15, N = 336.3034.92MIN: 35.04 / MAX: 56.23MIN: 34.15 / MAX: 38.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Java 2D Microbenchmark

This test runs a series of microbenchmarks to check the performance of the OpenGL-based Java 2D pipeline and the underlying OpenGL drivers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: Vector Graphics Rendering2020February 20232M4M6M8M10MSE +/- 24423.75, N = 4SE +/- 17710.86, N = 47844283.988150041.01

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 Time2020February 20231122334455SE +/- 0.31, N = 3SE +/- 0.12, N = 346.7445.00

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Read2020February 202320406080100SE +/- 0.20, N = 3SE +/- 1.20, N = 3110.00105.93-lpthread1. (CXX) g++ options: -O3 -lsnappy

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: CartoonFebruary 2023202020406080100SE +/- 0.23, N = 3SE +/- 0.33, N = 398.0894.52

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsFebruary 20232020612182430SE +/- 0.10, N = 3SE +/- 0.03, N = 325.9426.91-pthread1. (CXX) g++ options: -O3 -lm

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft22020February 2023112233445549.0847.35

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerFebruary 202320201.28252.5653.84755.136.4125SE +/- 0.01, N = 3SE +/- 0.01, N = 35.505.70MIN: 5.46 / MAX: 5.68MIN: 5.65 / MAX: 5.78

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 FLAC2020February 2023246810SE +/- 0.015, N = 5SE +/- 0.013, N = 57.9717.6921. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerFebruary 20232020510152025SE +/- 0.13, N = 3SE +/- 0.00, N = 1219.7420.41MIN: 19.23 / MAX: 20.41MIN: 20 / MAX: 21.28

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyFebruary 20232020816243240SE +/- 0.02, N = 3SE +/- 0.11, N = 333.5332.43

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 Routine2020February 202330K60K90K120K150KSE +/- 641.63, N = 3SE +/- 232.46, N = 3129515.00133898.121. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionFebruary 20232020246810SE +/- 0.005, N = 3SE +/- 0.015, N = 37.3787.138-pthread1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein2020February 2023612182430SE +/- 0.21, N = 14SE +/- 0.37, N = 1523.8524.63-pthread1. (CXX) g++ options: -O3 -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUFebruary 20232020612182430SE +/- 0.27, N = 4SE +/- 0.30, N = 324.5323.78MIN: 23.59-lpthread - MIN: 22.661. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUFebruary 2023202070140210280350SE +/- 2.43, N = 15SE +/- 0.49, N = 3338.11328.33MIN: 323.96-lpthread - MIN: 324.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimeFebruary 2023202030M60M90M120M150MSE +/- 803242.53, N = 3SE +/- 263429.87, N = 31423122461464634861. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisFebruary 2023202048121620SE +/- 0.06, N = 3SE +/- 0.06, N = 313.3913.76MIN: 12.99 / MAX: 13.7MIN: 13.51 / MAX: 14.08

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random Fill2020February 2023612182430SE +/- 0.03, N = 3SE +/- 0.07, N = 322.723.3-lpthread1. (CXX) g++ options: -O3 -lsnappy

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib2020February 202348121620SE +/- 0.03, N = 3SE +/- 0.00, N = 316.315.9

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Fill2020February 2023130260390520650SE +/- 1.02, N = 3SE +/- 1.42, N = 3623.73608.57-lpthread1. (CXX) g++ options: -O3 -lsnappy

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.12020February 202360120180240300SE +/- 0.59, N = 3SE +/- 0.90, N = 3252.18246.19MIN: 249.83 / MAX: 254.13MIN: 244.08 / MAX: 249.941. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: protein2020February 2023369121512.7212.44

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Emily2020February 2023306090120150133.24130.33

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU2020February 20230.46610.93221.39831.86442.3305SE +/- 0.01201, N = 3SE +/- 0.00541, N = 32.071532.02930-lpthread - MIN: 1.93MIN: 1.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesFebruary 2023202020406080100SE +/- 0.34, N = 3SE +/- 0.33, N = 386.3884.891. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Overwrite2020February 2023612182430SE +/- 0.00, N = 3SE +/- 0.03, N = 322.823.2-lpthread1. (CXX) g++ options: -O3 -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Overwrite2020February 2023130260390520650SE +/- 0.23, N = 3SE +/- 0.82, N = 3621.25611.02-lpthread1. (CXX) g++ options: -O3 -lsnappy

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATFebruary 2023202080M160M240M320M400MSE +/- 264281.08, N = 3SE +/- 36581.81, N = 3367154749.56373293210.021. (CC) gcc options: -O3 -march=native -lm

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup2020February 20233691215SE +/- 0.00, N = 3SE +/- 0.03, N = 312.812.6

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchFebruary 202320204080120160200SE +/- 0.38, N = 3SE +/- 0.31, N = 3167.56165.041. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Monte Carlo2020February 2023110220330440550SE +/- 0.10, N = 3SE +/- 0.81, N = 3506.84513.881. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.42020February 202310M20M30M40M50MSE +/- 167341.17, N = 3SE +/- 33206.63, N = 344881177454622871. (CXX) g++ options: -O3 -fopenmp

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3February 2023202016003200480064008000SE +/- 6.53, N = 3SE +/- 14.49, N = 37196.07285.81. (CC) gcc options: -O3 -pthread -lz -llzma

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git Commands2020February 20231122334455SE +/- 0.10, N = 3SE +/- 0.16, N = 348.3747.821. 2020: git version 2.25.12. February 2023: git version 2.38.1

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, Lossless2020February 202348121620SE +/- 0.06, N = 3SE +/- 0.05, N = 316.3016.12-pthread1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24February 20232020306090120150SE +/- 0.20, N = 3SE +/- 0.94, N = 3120.38119.191. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceFebruary 202320203K6K9K12K15KSE +/- 81.34, N = 3SE +/- 116.95, N = 314942.815077.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 192020February 202320406080100SE +/- 0.06, N = 3SE +/- 0.13, N = 381.782.31. (CC) gcc options: -O3 -pthread -lz -llzma

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 Compression2020February 2023816243240SE +/- 0.22, N = 3SE +/- 0.14, N = 333.5033.29-pthread1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Jacobi Successive Over-Relaxation2020February 2023400800120016002000SE +/- 3.21, N = 3SE +/- 4.22, N = 32055.732067.421. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneFebruary 2023202070140210280350SE +/- 0.31, N = 3SE +/- 0.24, N = 3309.57311.30

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUFebruary 202320200.35080.70161.05241.40321.754SE +/- 0.01350, N = 3SE +/- 0.01640, N = 81.559131.55097MIN: 1.49-lpthread - MIN: 1.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsFebruary 202320200.09650.1930.28950.3860.4825SE +/- 0.00183, N = 3SE +/- 0.00043, N = 30.428980.42677

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Delete2020February 2023130260390520650SE +/- 0.60, N = 3SE +/- 0.94, N = 3597.96595.58-lpthread1. (CXX) g++ options: -O3 -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncFebruary 2023202013002600390052006500SE +/- 19.28, N = 3SE +/- 15.69, N = 35975.105953.96-lpthread1. (CXX) g++ options: -O3 -lsnappy

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: induct22020February 202351015202521.9221.85

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 Benchmark2020February 20231020304050SE +/- 0.46, N = 3SE +/- 0.19, N = 341.8341.901. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillFebruary 20232020130260390520650SE +/- 1.08, N = 3SE +/- 6.42, N = 3592.28591.61-lpthread1. (CXX) g++ options: -O3 -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential Fill2020February 2023612182430SE +/- 0.27, N = 3SE +/- 0.06, N = 323.923.9-lpthread1. (CXX) g++ options: -O3 -lsnappy

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill Sync2020February 20230.541.081.622.162.7SE +/- 0.00, N = 3SE +/- 0.03, N = 32.42.4-lpthread1. (CXX) g++ options: -O3 -lsnappy

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVis2020February 20231020304050SE +/- 0.00, N = 12SE +/- 0.00, N = 343.4843.48MIN: 41.67 / MAX: 45.45MIN: 41.67 / MAX: 45.45

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVis2020February 202320406080100SE +/- 0.00, N = 13SE +/- 0.00, N = 390.9190.91MIN: 83.33 / MAX: 100MIN: 83.33 / MAX: 100

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: vgg162020February 202320406080100SE +/- 0.04, N = 3SE +/- 3.74, N = 384.3630.32MIN: 67.87 / MAX: 109.54MIN: 13.86 / MAX: 49.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUFebruary 202320200.29920.59840.89761.19681.496SE +/- 0.04058, N = 15SE +/- 0.01741, N = 41.329841.26441MIN: 1.15-lpthread - MIN: 1.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

LuaJIT

This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Fast Fourier Transform2020February 202360120180240300SE +/- 23.04, N = 3SE +/- 0.61, N = 3254.69275.531. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yes2020February 20233691215SE +/- 0.010, N = 3SE +/- 0.343, N = 159.1015.904

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No2020February 202348121620SE +/- 0.06, N = 3SE +/- 0.23, N = 1416.5112.11

Geometric Mean Of All Test Results

OpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult Composite - System76 Thelio Major 3990X 2023 Benchmarks2020February 202371421283525.5129.21

136 Results Shown

NCNN:
  Vulkan GPU - alexnet
  Vulkan GPU-v3-v3 - mobilenet-v3
G'MIC
RealSR-NCNN
NCNN:
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - googlenet
  Vulkan GPU - resnet50
  Vulkan GPU - resnet18
PyPerformance
Monte Carlo Simulations of Ionised Nebulae
NCNN
PyPerformance:
  float
  chaos
  pickle_pure_python
  raytrace
NCNN
PyPerformance
NCNN
PyPerformance
NCNN
G'MIC
Java 2D Microbenchmark
PyPerformance
Timed PHP Compilation
Polyhedron Fortran Benchmarks
Tesseract
x265
PyPerformance
x265
SVT-VP9
Polyhedron Fortran Benchmarks
Xonotic
SVT-HEVC
Xonotic
SVT-VP9
PyPerformance
GEGL
BYTE Unix Benchmark
Timed Apache Compilation
Timed MPlayer Compilation
GEGL
SQLite
Java 2D Microbenchmark
Xonotic
PyBench
Tesseract
GEGL
Blender
PyPerformance
Timed FFmpeg Compilation
Blender
OpenVKL
Xonotic
LevelDB
ParaView:
  Wavelet Contour - 1920 x 1080:
    MiPolys / Sec
    Frames / Sec
GEGL:
  Reflect
  Tile Glass
ET: Legacy
LuaJIT
oneDNN
Intel Open Image Denoise
Blender
LuaJIT
Java 2D Microbenchmark
oneDNN
Coremark
RawTherapee
Optcarrot
OSPray
GEGL
LuaJIT
TensorFlow Lite
OSPray
RNNoise
NCNN
Java 2D Microbenchmark
Hugin
LevelDB
GEGL
LAMMPS Molecular Dynamics Simulator
Polyhedron Fortran Benchmarks
OSPray
FLAC Audio Encoding
OSPray
Blender
FFTE
WebP Image Encode
LAMMPS Molecular Dynamics Simulator
oneDNN:
  IP Batch All - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
Stockfish
OSPray
LevelDB
PyPerformance
LevelDB
TNN
Polyhedron Fortran Benchmarks
Appleseed
oneDNN
G'MIC
LevelDB:
  Overwrite:
    MB/s
    Microseconds Per Op
Hierarchical INTegration
PyPerformance
Timed HMMer Search
LuaJIT
Kripke
Zstd Compression
Git
WebP Image Encode
Apache CouchDB
OpenSSL
Zstd Compression
WebP Image Encode
LuaJIT
rays1bench
oneDNN
NAMD
LevelDB:
  Rand Delete
  Fill Sync
Polyhedron Fortran Benchmarks
LibRaw
LevelDB:
  Seq Fill:
    Microseconds Per Op
    MB/s
  Fill Sync:
    MB/s
OSPray:
  Magnetic Reconnection - SciVis
  NASA Streamlines - SciVis
NCNN
oneDNN
LuaJIT
Waifu2x-NCNN Vulkan
RealSR-NCNN
Geometric Mean Of All Test Results

2020

Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200

OS: Pop 20.04, Kernel: 5.4.0-7642-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.8 (LLVM 10.0.0), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: snd_usb_audio.ignore_ctl_error=1
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/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
Disk Notes: NONE / errors=remount-ro,noatime,rw
Processor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 23 October 2020 12:50 by user phoronix.

February 2023

Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB + 257GB Flash Drive, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 23.04, Kernel: 6.2.0-060200rc7daily20230206-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.2.5 (LLVM 15.0.6 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-AKimc9/gcc-12-12.2.0/debian/tmp-gcn/usr --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
Disk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301055
Graphics Notes: BAR1 / Visible vRAM Size: 256 MB - vBIOS Version: 113-D1820201-101
Java Notes: OpenJDK Runtime Environment (build 11.0.18+10-post-Ubuntu-0ubuntu1)
Python Notes: Python 3.11.1
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 6 February 2023 18:19 by user phoronix.