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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Timed Code Compilation 4 Tests
C/C++ Compiler Tests 13 Tests
CPU Massive 15 Tests
Creator Workloads 19 Tests
Database Test Suite 3 Tests
Desktop Graphics 3 Tests
Encoding 4 Tests
Fortran Tests 4 Tests
Game Development 4 Tests
HPC - High Performance Computing 11 Tests
Imaging 6 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 5 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 2 Tests
Multi-Core 19 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 4 Tests
OpenMPI Tests 2 Tests
Programmer / Developer System Benchmarks 8 Tests
Python 2 Tests
Raytracing 2 Tests
Renderers 4 Tests
Scientific Computing 6 Tests
Server 4 Tests
Server CPU Tests 12 Tests
Single-Threaded 8 Tests
Video Encoding 3 Tests
Vulkan Compute 3 Tests
Common Workstation Benchmarks 4 Tests

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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 Benchmarkssqlite: 8realsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Yesetlegacy: Renderer2 - 3840 x 2160tesseract: 1920 x 1080tesseract: 3840 x 2160xonotic: 3840 x 2160 - Lowxonotic: 3840 x 2160 - Highxonotic: 3840 x 2160 - Ultraxonotic: 3840 x 2160 - Ultimateparaview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080j2dbench: Text Renderingj2dbench: Image Renderingj2dbench: All Rendering Testsj2dbench: Vector Graphics Renderingnamd: ATPase Simulation - 327,506 Atomspolyhedron: airpolyhedron: tfft2polyhedron: induct2polyhedron: proteinpolyhedron: fatigue2ffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteinwebp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionbyte: Dhrystone 2compress-zstd: 3compress-zstd: 19luajit: Compositeluajit: Monte Carloluajit: Fast Fourier Transformluajit: Sparse Matrix Multiplyluajit: Dense LU Matrix Factorizationluajit: Jacobi Successive Over-Relaxationlibraw: Post-Processing Benchmarkonednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUospray: San Miguel - SciVisospray: XFrog Forest - SciVisospray: San Miguel - Path Tracerospray: NASA Streamlines - SciVisospray: XFrog Forest - Path Tracerospray: Magnetic Reconnection - SciVisospray: NASA Streamlines - Path Tracersvt-hevc: 1080p 8-bit YUV To HEVC Video Encodesvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080px265: Bosphorus 4Kx265: Bosphorus 1080poidn: Memorialopenvkl: vklBenchmarkcoremark: CoreMark Size 666 - Iterations Per Secondstockfish: Total Timebuild-apache: Time To Compilebuild-ffmpeg: Time To Compilebuild-mplayer: Time To Compilebuild-php: Time To Compilerays1bench: Large Sceneencode-flac: WAV To FLACrnnoise: openssl: RSA 4096-bit Performancecouchdb: 100 - 1000 - 24leveldb: Fill Syncleveldb: Fill Syncleveldb: Overwriteleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Fillleveldb: Rand Readleveldb: Seek Randleveldb: Rand Deleteleveldb: Seq Fillleveldb: Seq Filltensorflow-lite: SqueezeNetgegl: Cropgegl: Cartoongegl: Reflectgegl: Antialiasgegl: Tile Glassgegl: Wavelet Blurgegl: Color Enhancegmic: 2D Function Plotting, 1000 Timesgmic: Plotting Isosurface Of A 3D Volume, 1000 Timesgmic: 3D Elevated Function In Rand Colors, 100 Timeshugin: Panorama Photo Assistant + Stitching Timerawtherapee: Total Benchmark Timencnn: CPU - yolov4-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50tnn: CPU - SqueezeNet v1.1optcarrot: Optimized Benchmarkblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlypybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonhint: FLOATappleseed: Emilygit: Time To Complete Common Git Commandskripke: 2020February 2023114.99716.512114.4449.101241.5369.0690311.5822506.6888296383.4692564335.6182130268.3078375301.883145.93721836.3390721778553596.51315087815320.96040107844283.97506210.426771.7149.0821.9212.7248.61129515.00422893165.03522326.90823.84516.2957.13833.50043076608.77285.881.71541.47506.84254.691221.293668.792055.7341.831.2644123.77811.550972.07153328.325115.0680.50854467.4613.765.7090.917.3243.4820.41208.29394.07326.7226.2558.1927.01461.152256436.97729614646348621.26719.73610.61335.452311.307.97118.80915077.3119.1872.45953.96022.8621.25122.7623.726109.997171.029597.96023.9591.61250791.38.84394.52131.59141.07632.96564.72558.097222.55619.37984.88646.73950.51036.305.829.984.608.473.484.6611.558.5184.363.3429.8515.049.65252.180131.3332.4384.9546.34131.1294123330210410810816.343923.910316012.847.5441373293210.02252133.24476148.36544881177100.69212.10954.4445.904257.3490.6299346.8381550.0451355453.8810679393.5244615300.1137937324.763384.40423141.43042064812036752.9430468868529.01882218150041.01276560.428981.4347.3521.8512.4436.5133898.12115368167.56313225.93524.62916.1207.37833.28949644913.17196.082.31610.41513.88275.531301.163894.042067.4241.901.3298424.52781.559132.02930338.110121.8000.54152970.7513.395.5090.917.0343.4819.74176.07337.63272.2421.0647.2328.744232132341.73394914231224624.45818.09712.16247.695309.577.69218.06914942.8120.3792.45975.09523.2611.01923.3608.572105.932157.938595.58023.9592.27648673.68.45398.07529.54537.16330.93256.54850.397101.07613.65486.38344.99953.40034.923.866.792.213.111.742.347.394.4430.321.865.489.005.06246.191124.9533.5393.8149.26142.9584213627664.565.080.215.927720.568.712912.630.5276367154749.55730130.32908547.81745462287OpenBenchmarking.org

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
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 82020February 202320406080100Min: 114.39 / Avg: 115 / Max: 115.55Min: 100.09 / Avg: 100.69 / Max: 101.081. (CC) gcc options: -O2 -lz -lm

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
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No2020February 202348121620Min: 16.44 / Avg: 16.51 / Max: 16.63Min: 11.81 / Avg: 12.11 / Max: 15.14

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes2020February 2023306090120150SE +/- 0.16, N = 3SE +/- 0.51, N = 6114.4454.44
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: Yes2020February 202320406080100Min: 114.14 / Avg: 114.44 / Max: 114.68Min: 53.62 / Avg: 54.44 / Max: 56.99

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
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yes2020February 20233691215Min: 9.08 / Avg: 9.1 / Max: 9.12Min: 5.22 / Avg: 5.9 / Max: 8.51

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
OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.75Renderer: Renderer2 - Resolution: 3840 x 21602020February 202350100150200250Min: 235.2 / Avg: 241.53 / Max: 245.7Min: 255 / Avg: 257.27 / Max: 261.3

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
OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 1920 x 10802020February 202390180270360450Min: 349.55 / Avg: 369.07 / Max: 387.39Min: 483.11 / Avg: 490.63 / Max: 496.83

OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 3840 x 21602020February 202380160240320400SE +/- 1.73, N = 3SE +/- 2.86, N = 3311.58346.84
OpenBenchmarking.orgFrames Per Second, More Is BetterTesseract 2014-05-12Resolution: 3840 x 21602020February 202360120180240300Min: 308.87 / Avg: 311.58 / Max: 314.8Min: 341.75 / Avg: 346.84 / Max: 351.63

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
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: Low2020February 2023100200300400500Min: 503.41 / Avg: 506.69 / Max: 509.01Min: 543.35 / Avg: 550.05 / Max: 556.14

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
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: High2020February 202380160240320400Min: 379.5 / Avg: 383.47 / Max: 389.89Min: 445.6 / Avg: 453.88 / Max: 461.31

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
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: Ultra2020February 202370140210280350Min: 334.93 / Avg: 335.62 / Max: 336.06Min: 386.84 / Avg: 393.52 / Max: 402.07

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
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: Ultimate2020February 202350100150200250Min: 264.7 / Avg: 268.31 / Max: 271.05Min: 297.18 / Avg: 300.11 / Max: 302.44

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 10802020February 202370140210280350SE +/- 3.30, N = 7SE +/- 2.41, N = 11301.88324.76
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 10802020February 202360120180240300Min: 293.08 / Avg: 301.88 / Max: 314.66Min: 308.18 / Avg: 324.76 / Max: 329.88

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.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 10802020February 20236001200180024003000Min: 3054.28 / Avg: 3145.94 / Max: 3279.13Min: 3211.6 / Avg: 3384.4 / Max: 3437.7

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
OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: Text Rendering2020February 20234K8K12K16K20KMin: 21229.67 / Avg: 21836.34 / Max: 22465.88Min: 21067.76 / Avg: 23141.43 / Max: 24228.13

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
OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: Image Rendering2020February 20232M4M6M8M10MMin: 8482342.34 / Avg: 8553596.51 / Max: 8613131.88Min: 11101051.42 / Avg: 12036752.94 / Max: 12602433.51

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
OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: All Rendering Tests2020February 20231.5M3M4.5M6M7.5MMin: 7570006.39 / Avg: 7815320.96 / Max: 7906626.73Min: 8814628.74 / Avg: 8868529.02 / Max: 8936564.22

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
OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: Vector Graphics Rendering2020February 20231.4M2.8M4.2M5.6M7MMin: 7814701.18 / Avg: 7844283.98 / Max: 7917095.1Min: 8117497.34 / Avg: 8150041.01 / Max: 8188292.22

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 Atoms2020February 20230.09650.1930.28950.3860.4825SE +/- 0.00043, N = 3SE +/- 0.00183, N = 30.426770.42898
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms2020February 202312345Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.43

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

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

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

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

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

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
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine2020February 202320K40K60K80K100KMin: 128287.37 / Avg: 129515 / Max: 130452.47Min: 133565.87 / Avg: 133898.12 / Max: 134345.881. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 Search2020February 20234080120160200SE +/- 0.31, N = 3SE +/- 0.38, N = 3165.04167.561. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search2020February 2023306090120150Min: 164.54 / Avg: 165.04 / Max: 165.62Min: 167.05 / Avg: 167.56 / Max: 168.291. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.02020February 20234080120160200Min: 221 / Avg: 222.67 / Max: 224Min: 129 / Avg: 131.67 / Max: 1341. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -lmpi_usempif08 -lmpi_mpifh -lmpi

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 Atoms2020February 2023612182430SE +/- 0.03, N = 3SE +/- 0.10, N = 326.9125.94-pthread1. (CXX) g++ options: -O3 -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k Atoms2020February 2023612182430Min: 26.87 / Avg: 26.91 / Max: 26.96Min: 25.75 / Avg: 25.94 / Max: 26.11. (CXX) g++ options: -O3 -lm

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
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein2020February 2023612182430Min: 23.11 / Avg: 23.85 / Max: 26.18Min: 22.75 / Avg: 24.63 / Max: 27.181. (CXX) g++ options: -O3 -lm

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
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless2020February 202348121620Min: 16.21 / Avg: 16.3 / Max: 16.42Min: 16.06 / Avg: 16.12 / Max: 16.221. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression2020February 2023246810SE +/- 0.015, N = 3SE +/- 0.005, N = 37.1387.378-pthread1. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression2020February 20233691215Min: 7.11 / Avg: 7.14 / Max: 7.16Min: 7.37 / Avg: 7.38 / Max: 7.391. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

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
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression2020February 2023714212835Min: 33.17 / Avg: 33.5 / Max: 33.91Min: 33.01 / Avg: 33.29 / Max: 33.471. (CC) gcc options: -fvisibility=hidden -O2 -lm -ljpeg -lpng16 -ltiff

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
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 22020February 20239M18M27M36M45MMin: 40445574.8 / Avg: 43076608.69 / Max: 44755817.3Min: 49143258.9 / Avg: 49644913.13 / Max: 49961442.3

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: 32020February 202316003200480064008000SE +/- 14.49, N = 3SE +/- 6.53, N = 37285.87196.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 32020February 202313002600390052006500Min: 7269.6 / Avg: 7285.8 / Max: 7314.7Min: 7183.7 / Avg: 7195.97 / Max: 72061. (CC) gcc options: -O3 -pthread -lz -llzma

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
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 192020February 20231632486480Min: 81.6 / Avg: 81.7 / Max: 81.8Min: 82 / Avg: 82.27 / Max: 82.41. (CC) gcc options: -O3 -pthread -lz -llzma

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
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Composite2020February 202330060090012001500Min: 1537.58 / Avg: 1541.47 / Max: 1544.22Min: 1608.57 / Avg: 1610.41 / Max: 1614.041. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Monte Carlo2020February 202390180270360450Min: 506.71 / Avg: 506.84 / Max: 507.03Min: 512.33 / Avg: 513.88 / Max: 515.071. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Fast Fourier Transform2020February 202350100150200250Min: 209.36 / Avg: 254.69 / Max: 284.53Min: 274.56 / Avg: 275.53 / Max: 276.651. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Sparse Matrix Multiply2020February 20232004006008001000Min: 1217 / Avg: 1221.29 / Max: 1228.52Min: 1298.4 / Avg: 1301.16 / Max: 1304.031. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Dense LU Matrix Factorization2020February 20237001400210028003500Min: 3648.96 / Avg: 3668.79 / Max: 3705.18Min: 3879.64 / Avg: 3894.04 / Max: 3903.961. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Jacobi Successive Over-Relaxation2020February 2023400800120016002000Min: 2049.33 / Avg: 2055.73 / Max: 2059.29Min: 2059.05 / Avg: 2067.42 / Max: 2072.581. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark2020February 2023918273645Min: 40.93 / Avg: 41.83 / Max: 42.45Min: 41.53 / Avg: 41.9 / Max: 42.111. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -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 1D - Data Type: f32 - Engine: CPU2020February 20230.29920.59840.89761.19681.496SE +/- 0.01741, N = 4SE +/- 0.04058, N = 151.264411.32984-lpthread - MIN: 1.17MIN: 1.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPU2020February 2023246810Min: 1.24 / Avg: 1.26 / Max: 1.32Min: 1.19 / Avg: 1.33 / Max: 1.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPU2020February 2023612182430SE +/- 0.30, N = 3SE +/- 0.27, N = 423.7824.53-lpthread - MIN: 22.66MIN: 23.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPU2020February 2023612182430Min: 23.23 / Avg: 23.78 / Max: 24.25Min: 24.17 / Avg: 24.53 / Max: 25.341. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU2020February 20230.35080.70161.05241.40321.754SE +/- 0.01640, N = 8SE +/- 0.01350, N = 31.550971.55913-lpthread - MIN: 1.45MIN: 1.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU2020February 2023246810Min: 1.51 / Avg: 1.55 / Max: 1.63Min: 1.54 / Avg: 1.56 / Max: 1.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

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
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU2020February 2023246810Min: 2.05 / Avg: 2.07 / Max: 2.09Min: 2.02 / Avg: 2.03 / Max: 2.041. (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: CPU2020February 202370140210280350SE +/- 0.49, N = 3SE +/- 2.43, N = 15328.33338.11-lpthread - MIN: 324.39MIN: 323.961. (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: CPU2020February 202360120180240300Min: 327.56 / Avg: 328.32 / Max: 329.23Min: 327.02 / Avg: 338.11 / Max: 359.581. (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 Inference - Data Type: f32 - Engine: CPU2020February 2023306090120150SE +/- 0.34, N = 3SE +/- 0.99, N = 3115.07121.80-lpthread - MIN: 112.93MIN: 118.311. (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 Inference - Data Type: f32 - Engine: CPU2020February 202320406080100Min: 114.39 / Avg: 115.07 / Max: 115.45Min: 120.47 / Avg: 121.8 / Max: 123.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU2020February 20230.12180.24360.36540.48720.609SE +/- 0.006670, N = 4SE +/- 0.005684, N = 150.5085440.541529-lpthread - MIN: 0.46MIN: 0.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU2020February 2023246810Min: 0.49 / Avg: 0.51 / Max: 0.52Min: 0.5 / Avg: 0.54 / Max: 0.581. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl

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
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVis2020February 20231428425670Min: 66.67 / Avg: 67.46 / Max: 71.43Min: 66.67 / Avg: 70.75 / Max: 71.43

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVis2020February 202348121620SE +/- 0.06, N = 3SE +/- 0.06, N = 313.7613.39MIN: 13.51 / MAX: 14.08MIN: 12.99 / MAX: 13.7
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVis2020February 202348121620Min: 13.7 / Avg: 13.76 / Max: 13.89Min: 13.33 / Avg: 13.39 / Max: 13.51

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path Tracer2020February 20231.28252.5653.84755.136.4125SE +/- 0.01, N = 3SE +/- 0.01, N = 35.705.50MIN: 5.65 / MAX: 5.78MIN: 5.46 / MAX: 5.68
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path Tracer2020February 2023246810Min: 5.68 / Avg: 5.7 / Max: 5.71Min: 5.49 / Avg: 5.5 / Max: 5.52

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
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVis2020February 202320406080100Min: 90.91 / Avg: 90.91 / Max: 90.91Min: 90.91 / Avg: 90.91 / Max: 90.91

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path Tracer2020February 2023246810SE +/- 0.02, N = 3SE +/- 0.03, N = 37.327.03MIN: 7.04 / MAX: 7.52MIN: 6.9 / MAX: 7.25
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path Tracer2020February 20233691215Min: 7.3 / Avg: 7.32 / Max: 7.35Min: 6.99 / Avg: 7.03 / Max: 7.09

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: Magnetic Reconnection - Renderer: SciVis2020February 2023918273645Min: 43.48 / Avg: 43.48 / Max: 43.48Min: 43.48 / Avg: 43.48 / Max: 43.48

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path Tracer2020February 2023510152025SE +/- 0.00, N = 12SE +/- 0.13, N = 320.4119.74MIN: 20 / MAX: 21.28MIN: 19.23 / MAX: 20.41
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path Tracer2020February 2023510152025Min: 20.41 / Avg: 20.41 / Max: 20.41Min: 19.61 / Avg: 19.74 / Max: 20

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 Encode2020February 202350100150200250SE +/- 1.79, N = 3SE +/- 2.46, N = 3208.29176.071. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.4.11080p 8-bit YUV To HEVC Video Encode2020February 20234080120160200Min: 206.19 / Avg: 208.29 / Max: 211.86Min: 171.72 / Avg: 176.07 / Max: 180.231. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

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 1080p2020February 202390180270360450SE +/- 2.19, N = 3SE +/- 3.73, N = 5394.07337.631. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p2020February 202370140210280350Min: 391.39 / Avg: 394.07 / Max: 398.41Min: 322.93 / Avg: 337.63 / Max: 343.451. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080p2020February 202370140210280350SE +/- 2.60, N = 3SE +/- 0.81, N = 3326.72272.241. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080p2020February 202360120180240300Min: 323.45 / Avg: 326.72 / Max: 331.86Min: 270.64 / Avg: 272.24 / Max: 273.221. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 4K2020February 2023612182430SE +/- 0.07, N = 3SE +/- 0.03, N = 326.2521.061. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K2020February 2023612182430Min: 26.11 / Avg: 26.25 / Max: 26.33Min: 21.02 / Avg: 21.06 / Max: 21.131. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p2020February 20231326395265SE +/- 0.21, N = 3SE +/- 0.14, N = 358.1947.231. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p2020February 20231224364860Min: 57.92 / Avg: 58.19 / Max: 58.61Min: 46.99 / Avg: 47.23 / Max: 47.491. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: Memorial2020February 2023612182430Min: 26.97 / Avg: 27.01 / Max: 27.07Min: 28.72 / Avg: 28.74 / Max: 28.75

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: vklBenchmark2020February 2023100200300400500SE +/- 1.89, N = 3SE +/- 2.19, N = 3461.15423.00MIN: 1 / MAX: 1298MIN: 1 / MAX: 1246
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmark2020February 202380160240320400Min: 458.61 / Avg: 461.15 / Max: 464.83Min: 419 / Avg: 423.33 / Max: 426

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 Second2020February 2023500K1000K1500K2000K2500KSE +/- 15042.16, N = 3SE +/- 14325.36, N = 32256436.982132341.731. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second2020February 2023400K800K1200K1600K2000KMin: 2227442.79 / Avg: 2256436.98 / Max: 2277884.06Min: 2106042.53 / Avg: 2132341.73 / Max: 2155335.721. (CC) gcc options: -O2 -lrt" -lrt

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 Time2020February 202330M60M90M120M150MSE +/- 263429.87, N = 3SE +/- 803242.53, N = 31464634861423122461. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total Time2020February 202330M60M90M120M150MMin: 146122225 / Avg: 146463485.67 / Max: 146981739Min: 140945071 / Avg: 142312246.33 / Max: 1437263951. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

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 Compile2020February 2023612182430SE +/- 0.02, N = 3SE +/- 0.07, N = 321.2724.46
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile2020February 2023612182430Min: 21.23 / Avg: 21.27 / Max: 21.31Min: 24.34 / Avg: 24.46 / Max: 24.57

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
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile2020February 2023510152025Min: 19.63 / Avg: 19.74 / Max: 19.8Min: 18.06 / Avg: 18.1 / Max: 18.15

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 Compile2020February 20233691215SE +/- 0.03, N = 3SE +/- 0.02, N = 310.6112.16
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To Compile2020February 202348121620Min: 10.56 / Avg: 10.61 / Max: 10.65Min: 12.13 / Avg: 12.16 / Max: 12.21

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 Compile2020February 20231122334455SE +/- 0.05, N = 3SE +/- 0.09, N = 335.4547.70
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To Compile2020February 20231020304050Min: 35.37 / Avg: 35.45 / Max: 35.54Min: 47.52 / Avg: 47.69 / Max: 47.81

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 Scene2020February 202370140210280350SE +/- 0.24, N = 3SE +/- 0.31, N = 3311.30309.57
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large Scene2020February 202360120180240300Min: 311.05 / Avg: 311.3 / Max: 311.77Min: 308.98 / Avg: 309.57 / Max: 310.02

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
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLAC2020February 20233691215Min: 7.95 / Avg: 7.97 / Max: 8.03Min: 7.66 / Avg: 7.69 / Max: 7.721. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

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
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-282020February 2023510152025Min: 18.74 / Avg: 18.81 / Max: 18.89Min: 18.03 / Avg: 18.07 / Max: 18.11. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 Performance2020February 20233K6K9K12K15KSE +/- 116.95, N = 3SE +/- 81.34, N = 315077.314942.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit Performance2020February 20233K6K9K12K15KMin: 14892.7 / Avg: 15077.3 / Max: 15294Min: 14821.4 / Avg: 14942.83 / Max: 15097.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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: 242020February 2023306090120150SE +/- 0.94, N = 3SE +/- 0.20, N = 3119.19120.381. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 242020February 202320406080100Min: 117.77 / Avg: 119.19 / Max: 120.96Min: 120.06 / Avg: 120.38 / Max: 120.741. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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: Fill Sync2020February 20230.541.081.622.162.7SE +/- 0.00, N = 3SE +/- 0.03, N = 32.42.4-lpthread1. (CXX) g++ options: -O3 -lsnappy
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill Sync2020February 2023246810Min: 2.4 / Avg: 2.4 / Max: 2.4Min: 2.3 / Avg: 2.37 / Max: 2.41. (CXX) g++ options: -O3 -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill Sync2020February 202313002600390052006500SE +/- 15.69, N = 3SE +/- 19.28, N = 35953.965975.10-lpthread1. (CXX) g++ options: -O3 -lsnappy
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill Sync2020February 202310002000300040005000Min: 5925.38 / Avg: 5953.96 / Max: 5979.45Min: 5944.12 / Avg: 5975.09 / Max: 6010.471. (CXX) g++ options: -O3 -lsnappy

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.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Overwrite2020February 2023510152025Min: 22.8 / Avg: 22.8 / Max: 22.8Min: 23.1 / Avg: 23.17 / Max: 23.21. (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
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Overwrite2020February 2023110220330440550Min: 620.91 / Avg: 621.25 / Max: 621.7Min: 609.57 / Avg: 611.02 / Max: 612.411. (CXX) g++ options: -O3 -lsnappy

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
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random Fill2020February 2023510152025Min: 22.6 / Avg: 22.67 / Max: 22.7Min: 23.2 / Avg: 23.27 / Max: 23.41. (CXX) g++ options: -O3 -lsnappy

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
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Fill2020February 2023110220330440550Min: 622.31 / Avg: 623.73 / Max: 625.7Min: 605.84 / Avg: 608.57 / Max: 610.611. (CXX) g++ options: -O3 -lsnappy

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
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random Read2020February 202320406080100Min: 109.61 / Avg: 110 / Max: 110.26Min: 103.73 / Avg: 105.93 / Max: 107.881. (CXX) g++ options: -O3 -lsnappy

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
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek Random2020February 2023306090120150Min: 170.68 / Avg: 171.03 / Max: 171.28Min: 157.64 / Avg: 157.94 / Max: 158.41. (CXX) g++ options: -O3 -lsnappy

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: Random Delete2020February 2023110220330440550Min: 596.76 / Avg: 597.96 / Max: 598.58Min: 594.07 / Avg: 595.58 / Max: 597.31. (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: Sequential Fill2020February 2023612182430Min: 23.4 / Avg: 23.93 / Max: 24.2Min: 23.8 / Avg: 23.9 / Max: 241. (CXX) g++ options: -O3 -lsnappy

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential Fill2020February 2023130260390520650SE +/- 6.42, N = 3SE +/- 1.08, N = 3591.61592.28-lpthread1. (CXX) g++ options: -O3 -lsnappy
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential Fill2020February 2023100200300400500Min: 584.96 / Avg: 591.61 / Max: 604.44Min: 590.55 / Avg: 592.28 / Max: 594.261. (CXX) g++ options: -O3 -lsnappy

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
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet2020February 20239K18K27K36K45KMin: 50458 / Avg: 50791.33 / Max: 51111.5Min: 48154.2 / Avg: 48673.57 / Max: 48998

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
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Crop2020February 20233691215Min: 8.8 / Avg: 8.84 / Max: 8.93Min: 8.36 / Avg: 8.45 / Max: 8.51

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Cartoon2020February 202320406080100SE +/- 0.33, N = 3SE +/- 0.23, N = 394.5298.08
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Cartoon2020February 202320406080100Min: 93.88 / Avg: 94.52 / Max: 94.93Min: 97.65 / Avg: 98.07 / Max: 98.43

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Reflect2020February 2023714212835SE +/- 0.08, N = 3SE +/- 0.02, N = 331.5929.55
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Reflect2020February 2023714212835Min: 31.51 / Avg: 31.59 / Max: 31.75Min: 29.52 / Avg: 29.55 / Max: 29.57

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Antialias2020February 2023918273645SE +/- 0.03, N = 3SE +/- 0.07, N = 341.0837.16
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Antialias2020February 2023918273645Min: 41.03 / Avg: 41.08 / Max: 41.1Min: 37.09 / Avg: 37.16 / Max: 37.3

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile Glass2020February 2023816243240SE +/- 0.04, N = 3SE +/- 0.01, N = 332.9730.93
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile Glass2020February 2023714212835Min: 32.9 / Avg: 32.97 / Max: 33.02Min: 30.92 / Avg: 30.93 / Max: 30.95

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet Blur2020February 20231428425670SE +/- 0.24, N = 3SE +/- 0.15, N = 364.7356.55
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet Blur2020February 20231326395265Min: 64.48 / Avg: 64.73 / Max: 65.2Min: 56.31 / Avg: 56.55 / Max: 56.82

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color Enhance2020February 20231326395265SE +/- 0.10, N = 3SE +/- 0.04, N = 358.1050.40
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color Enhance2020February 20231122334455Min: 57.97 / Avg: 58.1 / Max: 58.29Min: 50.34 / Avg: 50.4 / Max: 50.46

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.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 Times2020February 20234080120160200Min: 219.65 / Avg: 222.56 / Max: 224.92Min: 100.64 / Avg: 101.08 / Max: 101.731. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 Times2020February 2023510152025Min: 19.34 / Avg: 19.38 / Max: 19.42Min: 13.51 / Avg: 13.65 / Max: 13.761. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 Times2020February 202320406080100SE +/- 0.33, N = 3SE +/- 0.34, N = 384.8986.381. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 Times2020February 20231632486480Min: 84.32 / Avg: 84.89 / Max: 85.47Min: 85.72 / Avg: 86.38 / Max: 86.831. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching Time2020February 20231020304050Min: 46.16 / Avg: 46.74 / Max: 47.24Min: 44.77 / Avg: 45 / Max: 45.18

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 Time2020February 20231224364860SE +/- 0.04, N = 3SE +/- 0.26, N = 350.5153.401. 2020: RawTherapee, version 5.8, command line.2. February 2023: RawTherapee, version 5.9, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Time2020February 20231122334455Min: 50.43 / Avg: 50.51 / Max: 50.56Min: 52.9 / Avg: 53.4 / Max: 53.751. 2020: RawTherapee, version 5.8, command line.2. February 2023: RawTherapee, version 5.9, command line.

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny2020February 2023816243240Min: 36.06 / Avg: 36.3 / Max: 36.78Min: 34.7 / Avg: 34.92 / Max: 35.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet2020February 2023246810Min: 5.72 / Avg: 5.82 / Max: 5.88Min: 3.79 / Avg: 3.86 / Max: 3.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet2020February 20233691215Min: 9.81 / Avg: 9.98 / Max: 10.29Min: 6.75 / Avg: 6.79 / Max: 6.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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-v2-v2 - Model: mobilenet-v22020February 2023246810Min: 4.58 / Avg: 4.6 / Max: 4.61Min: 2.2 / Avg: 2.21 / Max: 2.231. (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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v32020February 20233691215Min: 8.16 / Avg: 8.47 / Max: 8.95Min: 3.1 / Avg: 3.11 / Max: 3.111. (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: shufflenet-v22020February 2023246810Min: 3.48 / Avg: 3.48 / Max: 3.49Min: 1.74 / Avg: 1.74 / Max: 1.751. (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: mnasnet2020February 2023246810Min: 4.64 / Avg: 4.66 / Max: 4.67Min: 2.34 / Avg: 2.34 / Max: 2.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b02020February 20233691215Min: 11.34 / Avg: 11.55 / Max: 11.7Min: 7.25 / Avg: 7.39 / Max: 7.521. (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: googlenet2020February 20233691215Min: 8.46 / Avg: 8.51 / Max: 8.54Min: 4.43 / Avg: 4.44 / Max: 4.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg162020February 20231632486480Min: 84.29 / Avg: 84.36 / Max: 84.42Min: 23.15 / Avg: 30.32 / Max: 35.731. (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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet182020February 2023246810Min: 3.33 / Avg: 3.34 / Max: 3.35Min: 1.83 / Avg: 1.86 / Max: 1.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 - Model: alexnet2020February 2023714212835Min: 29.38 / Avg: 29.85 / Max: 30.19Min: 5.44 / Avg: 5.48 / Max: 5.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny2020February 202348121620Min: 15.01 / Avg: 15.04 / Max: 15.08Min: 8.93 / Avg: 9 / Max: 9.041. (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: resnet502020February 20233691215Min: 9.55 / Avg: 9.65 / Max: 9.74Min: 5.02 / Avg: 5.06 / Max: 5.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.12020February 202350100150200250Min: 251.09 / Avg: 252.18 / Max: 253.09Min: 245.29 / Avg: 246.19 / Max: 247.981. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Optcarrot

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

OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized Benchmark2020February 2023306090120150SE +/- 0.25, N = 4SE +/- 1.09, N = 4131.33124.951. 2020: ruby 2.7.0p0 (2019-12-25 revision 647ee6f091) [x86_64-linux-gnu]2. February 2023: ruby 3.0.4p208 (2022-04-12 revision 3fa771dded) [x86_64-linux-gnu]
OpenBenchmarking.orgFPS, More Is BetterOptcarrotOptimized Benchmark2020February 202320406080100Min: 130.64 / Avg: 131.33 / Max: 131.84Min: 123.08 / Avg: 124.95 / Max: 127.231. 2020: ruby 2.7.0p0 (2019-12-25 revision 647ee6f091) [x86_64-linux-gnu]2. February 2023: ruby 3.0.4p208 (2022-04-12 revision 3fa771dded) [x86_64-linux-gnu]

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-Only2020February 2023816243240SE +/- 0.11, N = 3SE +/- 0.02, N = 332.4333.53
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-Only2020February 2023714212835Min: 32.23 / Avg: 32.43 / Max: 32.61Min: 33.5 / Avg: 33.53 / Max: 33.57

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-Only2020February 202320406080100SE +/- 0.44, N = 3SE +/- 0.31, N = 384.9593.81
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-Only2020February 202320406080100Min: 84.1 / Avg: 84.95 / Max: 85.56Min: 93.22 / Avg: 93.81 / Max: 94.29

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-Only2020February 20231122334455SE +/- 0.02, N = 3SE +/- 0.12, N = 346.3449.26
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-Only2020February 20231020304050Min: 46.31 / Avg: 46.34 / Max: 46.39Min: 49.07 / Avg: 49.26 / Max: 49.47

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-Only2020February 2023306090120150SE +/- 0.27, N = 3SE +/- 0.41, N = 3131.12142.95
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-Only2020February 2023306090120150Min: 130.67 / Avg: 131.12 / Max: 131.6Min: 142.14 / Avg: 142.95 / Max: 143.51

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
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Times2020February 2023170340510680850Min: 938 / Avg: 941.33 / Max: 946Min: 833 / Avg: 841.67 / Max: 849

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
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: go2020February 20234080120160200Min: 233 / Avg: 233.33 / Max: 234Min: 136 / Avg: 136 / Max: 136

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to32020February 202370140210280350SE +/- 0.33, N = 3302276
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to32020February 202350100150200250Min: 276 / Avg: 276.33 / Max: 277

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos2020February 202320406080100SE +/- 0.03, N = 3104.064.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos2020February 202320406080100Min: 64.5 / Avg: 64.53 / Max: 64.6

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: float2020February 202320406080100Min: 108 / Avg: 108.33 / Max: 109Min: 64.9 / Avg: 64.97 / Max: 65.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody2020February 202320406080100SE +/- 0.33, N = 3SE +/- 0.10, N = 3108.080.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody2020February 202320406080100Min: 107 / Avg: 107.67 / Max: 108Min: 80.1 / Avg: 80.2 / Max: 80.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib2020February 202348121620SE +/- 0.03, N = 3SE +/- 0.00, N = 316.315.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib2020February 202348121620Min: 16.3 / Avg: 16.33 / Max: 16.4Min: 15.9 / Avg: 15.9 / Max: 15.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace2020February 2023100200300400500SE +/- 0.33, N = 3439277
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace2020February 202380160240320400Min: 276 / Avg: 276.67 / Max: 277

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads2020February 2023612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 323.920.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads2020February 2023612182430Min: 23.8 / Avg: 23.87 / Max: 23.9Min: 20.5 / Avg: 20.53 / Max: 20.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes2020February 202320406080100SE +/- 0.03, N = 3103.068.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes2020February 202320406080100Min: 68.7 / Avg: 68.73 / Max: 68.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile2020February 20234080120160200SE +/- 0.58, N = 3SE +/- 0.33, N = 3160129
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile2020February 2023306090120150Min: 159 / Avg: 160 / Max: 161Min: 128 / Avg: 128.67 / Max: 129

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup2020February 20233691215SE +/- 0.00, N = 3SE +/- 0.03, N = 312.812.6
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup2020February 202348121620Min: 12.8 / Avg: 12.8 / Max: 12.8Min: 12.5 / Avg: 12.57 / Max: 12.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template2020February 20231122334455SE +/- 0.23, N = 3SE +/- 0.03, N = 347.530.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template2020February 20231020304050Min: 47.1 / Avg: 47.53 / Max: 47.9Min: 30.5 / Avg: 30.53 / Max: 30.6

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: pickle_pure_python2020February 202380160240320400Min: 436 / Avg: 440.67 / Max: 444Min: 276 / Avg: 276 / Max: 276

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: FLOAT2020February 202380M160M240M320M400MSE +/- 36581.81, N = 3SE +/- 264281.08, N = 3373293210.02367154749.561. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT2020February 202360M120M180M240M300MMin: 373244395.12 / Avg: 373293210.02 / Max: 373364814.03Min: 366782042.71 / Avg: 367154749.56 / Max: 367665680.671. (CC) gcc options: -O3 -march=native -lm

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

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
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git Commands2020February 20231020304050Min: 48.19 / Avg: 48.37 / Max: 48.54Min: 47.58 / Avg: 47.82 / Max: 48.131. 2020: git version 2.25.12. February 2023: git version 2.38.1

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
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.42020February 20238M16M24M32M40MMin: 44563910 / Avg: 44881176.67 / Max: 45132090Min: 45412890 / Avg: 45462286.67 / Max: 455254301. (CXX) g++ options: -O3 -fopenmp

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

SQLite
RealSR-NCNN:
  4x - No
  4x - Yes
Waifu2x-NCNN Vulkan
ET: Legacy
Tesseract:
  1920 x 1080
  3840 x 2160
Xonotic:
  3840 x 2160 - Low
  3840 x 2160 - High
  3840 x 2160 - Ultra
  3840 x 2160 - Ultimate
ParaView:
  Wavelet Contour - 1920 x 1080:
    Frames / Sec
    MiPolys / Sec
Java 2D Microbenchmark:
  Text Rendering
  Image Rendering
  All Rendering Tests
  Vector Graphics Rendering
NAMD
Polyhedron Fortran Benchmarks:
  air
  tfft2
  induct2
  protein
  fatigue2
FFTE
Timed HMMer Search
Monte Carlo Simulations of Ionised Nebulae
LAMMPS Molecular Dynamics Simulator:
  20k Atoms
  Rhodopsin Protein
WebP Image Encode:
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
BYTE Unix Benchmark
Zstd Compression:
  3
  19
LuaJIT:
  Composite
  Monte Carlo
  Fast Fourier Transform
  Sparse Matrix Multiply
  Dense LU Matrix Factorization
  Jacobi Successive Over-Relaxation
LibRaw
oneDNN:
  IP Batch 1D - f32 - CPU
  IP Batch All - f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
OSPray:
  San Miguel - SciVis
  XFrog Forest - SciVis
  San Miguel - Path Tracer
  NASA Streamlines - SciVis
  XFrog Forest - Path Tracer
  Magnetic Reconnection - SciVis
  NASA Streamlines - Path Tracer
SVT-HEVC
SVT-VP9:
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
x265:
  Bosphorus 4K
  Bosphorus 1080p
Intel Open Image Denoise
OpenVKL
Coremark
Stockfish
Timed Apache Compilation
Timed FFmpeg Compilation
Timed MPlayer Compilation
Timed PHP Compilation
rays1bench
FLAC Audio Encoding
RNNoise
OpenSSL
Apache CouchDB
LevelDB:
  Fill Sync:
    MB/s
    Microseconds Per Op
  Overwrite:
    MB/s
    Microseconds Per Op
  Rand Fill:
    MB/s
    Microseconds Per Op
  Rand Read:
    Microseconds Per Op
  Seek Rand:
    Microseconds Per Op
  Rand Delete:
    Microseconds Per Op
  Seq Fill:
    MB/s
    Microseconds Per Op
TensorFlow Lite
GEGL:
  Crop
  Cartoon
  Reflect
  Antialias
  Tile Glass
  Wavelet Blur
  Color Enhance
G'MIC:
  2D Function Plotting, 1000 Times
  Plotting Isosurface Of A 3D Volume, 1000 Times
  3D Elevated Function In Rand Colors, 100 Times
Hugin
RawTherapee
NCNN:
  CPU - yolov4-tiny
  Vulkan GPU - squeezenet
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - resnet50
TNN
Optcarrot
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
PyBench
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
Hierarchical INTegration
Appleseed
Git
Kripke
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.