System76 Thelio Major 3990X Pop OS

AMD Ryzen Threadripper 3990X benchmarking of Pop OS 20.10 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 2010258-FI-SYSTEM76T72
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Audio Encoding 2 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
Web Browsers 1 Tests
Chess Test Suite 2 Tests
Timed Code Compilation 7 Tests
C/C++ Compiler Tests 22 Tests
CPU Massive 31 Tests
Creator Workloads 30 Tests
Cryptography 3 Tests
Database Test Suite 6 Tests
Desktop Graphics 4 Tests
Disk Test Suite 2 Tests
Encoding 7 Tests
Fortran Tests 6 Tests
Game Development 5 Tests
HPC - High Performance Computing 22 Tests
Imaging 9 Tests
Java Tests 2 Tests
Common Kernel Benchmarks 6 Tests
Machine Learning 10 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 26 Tests
NVIDIA GPU Compute 8 Tests
OCR 2 Tests
Intel oneAPI 4 Tests
OpenCL 2 Tests
OpenMPI Tests 5 Tests
Productivity 4 Tests
Programmer / Developer System Benchmarks 13 Tests
Python 3 Tests
Raytracing 2 Tests
Renderers 4 Tests
Scientific Computing 12 Tests
Server 7 Tests
Server CPU Tests 19 Tests
Single-Threaded 11 Tests
Speech 2 Tests
Telephony 2 Tests
Video Encoding 5 Tests
Vulkan Compute 4 Tests
Common Workstation Benchmarks 5 Tests

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Pop OS 20.04
October 23 2020
  21 Hours, 47 Minutes
Pop OS 20.10
October 24 2020
  19 Hours, 40 Minutes
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  20 Hours, 43 Minutes
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System76 Thelio Major 3990X Pop OSProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionPop OS 20.04Pop OS 20.10AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)System76 Thelio Major (F4c Z5 BIOS)AMD Starship/Matisse126GBSamsung 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 + 32GB Flash DiskPop 20.105.8.0-7625-generic (x86_64)GNOME Shell 3.38.14.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0OpenBenchmarking.orgKernel Details- snd_usb_audio.ignore_ctl_error=1Compiler Details- Pop OS 20.04: --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 - Pop OS 20.10: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Disk Details- NONE / errors=remount-ro,noatime,rwProcessor Details- Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025Graphics Details- GLAMORJava Details- Pop OS 20.04: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)- Pop OS 20.10: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)Python Details- Pop OS 20.04: Python 3.8.5- Pop OS 20.10: Python 3.8.6Security Details- 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

Pop OS 20.04 vs. Pop OS 20.10 ComparisonPhoronix Test Suite 10.4.0Baseline+117.4%+117.4%+234.8%+234.8%+352.2%+352.2%469.4%360.6%332.2%161.8%156.7%97.4%91.8%91.4%86.6%85.9%81.3%72.2%69%68.1%56.5%48.6%41.1%37.7%36%24.1%19.6%19.2%18.8%15.1%14.6%14.4%13.9%10.9%10%9.7%9.7%9.6%9.6%9.3%9.2%8.4%7.6%7.3%7.2%6.9%6.6%6.4%6.1%6%5.9%5.9%5.9%5.9%5.4%5.2%5.1%5%4.7%4.6%4.6%4.6%4.5%4.4%4.4%4%3.9%3.8%3.7%3.7%3.7%3.7%3.6%3.4%3.2%3.1%3.1%3%2.7%2.7%2.6%2.4%2.4%2.4%2.2%2.1%2.1%2.1%2%2%2%2%MMAPVulkan GPU - alexnetVulkan GPU - vgg16tfft2Vulkan GPU-v3-v3 - mobilenet-v3Vulkan GPU-v2-v2 - mobilenet-v2Vulkan GPU - mnasnet4x - YesVulkan GPU - googlenetVulkan GPU - resnet50python_startupVulkan GPU - resnet184x - NoVulkan GPU - shufflenet-v22x - 3 - YesVulkan GPU - yolov4-tinyC.B.S.A - f32 - CPUVulkan GPU - mobilenetVulkan GPU - squeezenetM.M.B.S.T - f32 - CPU2.F.P.1.T22.8%airSocket ActivityImage RenderingP.D.S16.8%scikit_icaTime To CompileWavelet BlurSVG Files To PNGSemaphores12.7%Context Switching12.4%AntialiasEigendjango_templateColor EnhanceVulkan GPU - blazefaceScaleTile Glasspickle_pure_pythonI.R.V8.9%CPU - MobileNet v2Reactor8.4%MEMFD8.2%ReflectCPU - mnasnetCropF.F.Tjson_loads6.7%Rotate 90 DegreesBLAS100 - 1000 - 24CPU - shufflenet-v2DefaultCPU Stressfatigue25.9%CoreMark Size 666 - I.P.SGoogleNet - CPU - 100NUMA5.6%Forking5.4%Cartoon85.3%CPU - blazefaceText Rendering5.2%SqueezeNetV1.05.1%A.R.TRead While Writingauto-levelsregex_compileWavelet Contour - 1920 x 1080Wavelet Contour - 1920 x 1080Bosphorus 1080p - Ultra Fast4.5%S.M.MTime To Compile4.4%Wavelet Contour - 3840 x 2160Wavelet Contour - 3840 x 2160Fill Sync4.3%4.3%4.3%pathlib4.3%D.T.P4.1%CPU - SqueezeNet v1.1P.S.O - Bosphorus 1080p3.9%P.P.B3.9%D.L.M.FInception V43.8%AlexNet - CPU - 100Wavelet Volume - 1920 x 1080Wavelet Volume - 1920 x 1080Q.1.H.C3.7%Wavelet Volume - 3840 x 2160Wavelet Volume - 3840 x 2160Material Tester3840 x 2160 - High3.6%SENDFILE3.5%mdbx3.4%channel23.4%Hot Read3.3%D.I.S3.2%64 - 10000 - 2,5000,1 - 10000MallocV.Q.O - Bosphorus 1080p3.1%Rand Read3.1%1024 - 10000 - 2,5000,1 - 10000test_fpu23%Thoroughcrypto_pyaes2.9%nbody2.8%WAV To MP32.7%2to3Read Test2.7%CompositeTotal Time2.7%PBKDF2-whirlpoolTime To Compile2.6%Device AI Score2.6%1.8.b.Y.T.H.V.E2.5%L.E.H2.5%Q.1.L.H.C2.5%Mobilenet QuantcapacitaD.B.d - f32 - CPUWrite Test2.2%Fastinception-v3Timed Time - Size 1,000192.1%MediumQ.1.L2.1%Rhodopsin Protein2.1%Enc Mode 4 - 1080p2.1%ExhaustiveBlowfishQuality 1003Stress-NGNCNNNCNNPolyhedron Fortran BenchmarksNCNNNCNNNCNNRealSR-NCNNNCNNNCNNPyPerformanceNCNNRealSR-NCNNNCNNWaifu2x-NCNN VulkanNCNNoneDNNNCNNNCNNoneDNNG'MICPolyhedron Fortran BenchmarksStress-NGJava 2D MicrobenchmarkTimed HMMer SearchMlpack BenchmarkTimed FFmpeg CompilationGEGLlibrsvgStress-NGStress-NGGEGLLeelaChessZeroPyPerformanceGEGLNCNNGEGLGEGLPyPerformanceTensorFlow LiteTNNJava Gradle BuildStress-NGGEGLNCNNGEGLLuaJITPyPerformanceGEGLLeelaChessZeroApache CouchDBNCNNWebP Image EncodeStress-NGPolyhedron Fortran BenchmarksCoremarkCaffeStress-NGStress-NGGEGLSQLiteNCNNJava 2D MicrobenchmarkMobile Neural NetworkJava 2D MicrobenchmarkFacebook RocksDBGIMPPyPerformanceParaViewParaViewKvazaarLuaJITTimed PHP CompilationParaViewParaViewLevelDBGNU Octave BenchmarkVkFFTPyPerformancePostMarkTNNSVT-VP9LibRawLuaJITTensorFlow LiteCaffeParaViewParaViewWebP Image EncodeParaViewParaViewAppleseedXonoticStress-NGPolyhedron Fortran BenchmarksPolyhedron Fortran BenchmarksKripkeLevelDBAI Benchmark AlphaInfluxDBStress-NGSVT-VP9LevelDBInfluxDBPolyhedron Fortran BenchmarksASTC EncoderPyPerformancePyPerformanceLAME MP3 EncodingPyPerformanceIORLuaJITStockfishCryptsetupTimed MPlayer CompilationAI Benchmark AlphaSVT-HEVCCloverLeafWebP Image EncodeTensorFlow LitePolyhedron Fortran BenchmarksoneDNNIORASTC EncoderMobile Neural NetworkSQLite SpeedtestZstd CompressionASTC EncoderWebP Image EncodeLAMMPS Molecular Dynamics SimulatorSVT-AV1ASTC EncoderJohn The RipperWebP Image EncodeZstd CompressionPop OS 20.04Pop OS 20.10

System76 Thelio Major 3990X Pop OSncnn: Vulkan GPU - vgg16polyhedron: tfft2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mnasnetrealsr-ncnn: 4x - Yesncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - resnet50pyperformance: python_startupncnn: Vulkan GPU - resnet18realsr-ncnn: 4x - Noncnn: Vulkan GPU - shufflenet-v2waifu2x-ncnn: 2x - 3 - Yesncnn: Vulkan GPU - yolov4-tinyonednn: Convolution Batch Shapes Auto - f32 - CPUncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - squeezenetonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUgmic: 2D Function Plotting, 1000 Timespolyhedron: airstress-ng: Socket Activityj2dbench: Image Renderinghmmer: Pfam Database Searchmlpack: scikit_icabuild-ffmpeg: Time To Compilegegl: Wavelet Blurrsvg: SVG Files To PNGstress-ng: Semaphoresgegl: Antialiaslczero: Eigenpyperformance: django_templategegl: Color Enhancencnn: Vulkan GPU - blazefacegegl: Scalegegl: Tile Glasspyperformance: pickle_pure_pythontensorflow-lite: Inception ResNet V2tnn: CPU - MobileNet v2stress-ng: MEMFDgegl: Reflectgegl: Croppyperformance: json_loadsgegl: Rotate 90 Degreeslczero: BLAScouchdb: 100 - 1000 - 24ncnn: CPU - shufflenet-v2webp: Defaultstress-ng: CPU Stresspolyhedron: fatigue2coremark: CoreMark Size 666 - Iterations Per Secondcaffe: GoogleNet - CPU - 100stress-ng: NUMAstress-ng: Forkinggegl: Cartoonsqlite: 8j2dbench: Text Renderingj2dbench: All Rendering Testsrocksdb: Read While Writinggimp: auto-levelspyperformance: regex_compileparaview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080kvazaar: Bosphorus 1080p - Ultra Fastluajit: Sparse Matrix Multiplybuild-php: Time To Compileparaview: Wavelet Contour - 3840 x 2160paraview: Wavelet Contour - 3840 x 2160leveldb: Fill Syncoctave-benchmark: vkfft: pyperformance: pathlibpostmark: Disk Transaction Performancetnn: CPU - SqueezeNet v1.1svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080plibraw: Post-Processing Benchmarkluajit: Dense LU Matrix Factorizationtensorflow-lite: Inception V4caffe: AlexNet - CPU - 100paraview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080webp: Quality 100, Highest Compressionappleseed: Material Testerxonotic: 3840 x 2160 - Highstress-ng: SENDFILEpolyhedron: mdbxpolyhedron: channel2kripke: leveldb: Hot Readai-benchmark: Device Inference Scoreinfluxdb: 64 - 10000 - 2,5000,1 - 10000stress-ng: Mallocsvt-vp9: Visual Quality Optimized - Bosphorus 1080pleveldb: Rand Readinfluxdb: 1024 - 10000 - 2,5000,1 - 10000polyhedron: test_fpu2astcenc: Thoroughpyperformance: crypto_pyaespyperformance: nbodyencode-mp3: WAV To MP3pyperformance: 2to3ior: Read Testluajit: Compositestockfish: Total Timecryptsetup: PBKDF2-whirlpoolbuild-mplayer: Time To Compileai-benchmark: Device AI Scoresvt-hevc: 1080p 8-bit YUV To HEVC Video Encodecloverleaf: Lagrangian-Eulerian Hydrodynamicswebp: Quality 100, Lossless, Highest Compressiontensorflow-lite: Mobilenet Quantpolyhedron: capacitaonednn: Deconvolution Batch deconv_3d - f32 - CPUior: Write Testastcenc: Fastmnn: inception-v3sqlite-speedtest: Timed Time - Size 1,000compress-zstd: 19astcenc: Mediumwebp: Quality 100, Losslesslammps: Rhodopsin Proteinsvt-av1: Enc Mode 4 - 1080pastcenc: Exhaustivejohn-the-ripper: Blowfishwebp: Quality 100compress-zstd: 3onednn: IP Batch 1D - f32 - CPUrnnoise: tesseract-ocr: Time To OCR 7 Imagesonednn: Recurrent Neural Network Inference - f32 - CPUhugin: Panorama Photo Assistant + Stitching Timencnn: CPU - resnet50selenium: ARES-6 - Firefoxpolyhedron: acgimp: resizencnn: CPU - efficientnet-b0ai-benchmark: Device Training Scorepyperformance: raytracencnn: CPU - mobilenetleveldb: Rand Fillsvt-av1: Enc Mode 0 - 1080pstress-ng: Memory Copyingncnn: CPU-v2-v2 - mobilenet-v2tesseract: 3840 x 2160appleseed: Emilyrocksdb: Rand Fill Syncncnn: Vulkan GPU - efficientnet-b0mnn: MobileNetV2_224hint: FLOATtesseract: 1920 x 1080mocassin: Dust 2D tau100.0leveldb: Rand Fillncnn: CPU - yolov4-tinypybench: Total For Average Test Timesmlpack: scikit_linearridgeregressionetlegacy: Renderer2 - 3840 x 2160espeak: Text-To-Speech Synthesispolyhedron: aermodpolyhedron: mp_prop_designblender: Classroom - CPU-Onlyselenium: Speedometer - Firefoxospray: San Miguel - SciVisbuild-linux-kernel: Time To Compileoptcarrot: Optimized Benchmarkselenium: Basemark - Firefoxpolyhedron: gas_dyn2selenium: Jetstream - Firefoxxonotic: 3840 x 2160 - Ultimategimp: rotatekvazaar: Bosphorus 1080p - Very Fastncnn: CPU - alexnetselenium: CanvasMark - Firefoxbuild-gdb: Time To Compilepolyhedron: linpkselenium: Jetstream 2 - Firefoxpyperformance: chaosgromacs: Water Benchmarkxonotic: 3840 x 2160 - Lowpyperformance: floatmlpack: scikit_qdatensorflow-lite: NASNet Mobilegit: Time To Complete Common Git Commandsblender: Barbershop - CPU-Onlyappleseed: Disney Materialleveldb: Overwriteleveldb: Overwriteglmark2: 3840 x 2160sqlite: 1tensorflow-lite: Mobilenet Floatstress-ng: Cryptoselenium: WebXPRT - Firefoxleveldb: Seq Fillbuild-apache: Time To Compileleveldb: Seq Fillgimp: unsharp-maskdolfyn: Computational Fluid Dynamicsbyte: Dhrystone 2onednn: IP Batch All - f32 - CPUtensorflow-lite: SqueezeNetleveldb: Fill Synclammps: 20k Atomsonednn: Deconvolution Batch deconv_1d - f32 - CPUcryptsetup: PBKDF2-sha512kvazaar: Bosphorus 4K - Mediumj2dbench: Vector Graphics Renderingoidn: Memorialxonotic: 3840 x 2160 - Ultraffte: N=256, 3D Complex FFT Routinegpaw: Carbon Nanotubeselenium: WASM imageConvolute - Firefoxmlpack: scikit_svmpolyhedron: proteinrawtherapee: Total Benchmark Timekvazaar: Bosphorus 1080p - Mediumencode-flac: WAV To FLACblender: Fishy Cat - CPU-Onlyncnn: CPU - googlenetgmic: 3D Elevated Function In Rand Colors, 100 Timeskvazaar: Bosphorus 4K - Very Fastncnn: CPU - resnet18stress-ng: Vector Mathsvt-vp9: VMAF Optimized - Bosphorus 1080pstress-ng: Glibc C String Functionspolyhedron: rnflowleveldb: Rand Deleteospray: XFrog Forest - SciVisopenssl: RSA 4096-bit Performancegmic: Plotting Isosurface Of A 3D Volume, 1000 Timesx265: Bosphorus 4Kluajit: Jacobi Successive Over-Relaxationinfluxdb: 4 - 10000 - 2,5000,1 - 10000leveldb: Seek Randsvt-av1: Enc Mode 8 - 1080pncnn: CPU - vgg16rocksdb: Rand Fillblender: Pabellon Barcelona - CPU-Onlystress-ng: Glibc Qsort Data Sortingx265: Bosphorus 1080pkvazaar: Bosphorus 4K - Slowblender: BMW27 - CPU-Onlyrocksdb: Seq Fillmnn: resnet-v2-50mnn: mobilenet-v1-1.0john-the-ripper: MD5selenium: StyleBench - Firefoxstress-ng: Atomicrocksdb: Rand Readospray: XFrog Forest - Path Traceropenvkl: vklBenchmarknamd: ATPase Simulation - 327,506 Atomsbuild-llvm: Time To Compilepolyhedron: induct2onednn: Recurrent Neural Network Training - f32 - CPUkvazaar: Bosphorus 1080p - Slowbrl-cad: VGR Performance Metricospray: San Miguel - Path Tracerncnn: CPU - squeezenetselenium: Kraken - Firefoxpolyhedron: doduckvazaar: Bosphorus 4K - Ultra Fastglmark2: 1920 x 1080rays1bench: Large Scenemafft: Multiple Sequence Alignment - LSU RNAluajit: Monte Carlostress-ng: Matrix Mathselenium: WASM collisionDetection - Firefoxselenium: Octane - Firefoxocrmypdf: Processing 60 Page PDF Documentcryptsetup: PBKDF2-whirlpoolselenium: Maze Solver - Firefoxpyperformance: goocrmypdf: Processing 60 Page PDF Documentdarktable: Server Room - CPU-onlydarktable: Server Rack - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Boat - CPU-onlycryptsetup: PBKDF2-sha512ospray: Magnetic Reconnection - Path Tracerospray: NASA Streamlines - Path Tracerospray: Magnetic Reconnection - SciVisospray: NASA Streamlines - SciVisparaview: Many Spheres - 3840 x 2160paraview: Many Spheres - 3840 x 2160paraview: Many Spheres - 1920 x 1080paraview: Many Spheres - 1920 x 1080selenium: MotionMark - Firefoxncnn: Vulkan GPU - alexnetncnn: CPU - blazefacencnn: CPU - mnasnetncnn: CPU-v3-v3 - mobilenet-v3mnn: SqueezeNetV1.0stress-ng: Context Switchingstress-ng: CPU Cachestress-ng: MMAPluajit: Fast Fourier Transformjava-gradle-perf: Reactorparaview: Wavelet Volume - 3840 x 2160paraview: Wavelet Volume - 3840 x 2160Pop OS 20.04Pop OS 20.1084.3649.088.474.604.66114.4448.519.6512.83.3416.5123.489.10115.042.127899.985.820.508544222.5561.7121460.218553596.5131508165.03551.9219.73664.72529.14910710303.2341.076140347.558.0971.256.60432.965441608725285.9211328.9831.5918.84323.939.9181462119.18714.401.48123480.9248.612256436.9772961481131436.4660628.8494.521114.99721836.3390721777815320.9604010759955115.8251603145.937301.88243.711221.2935.452164.191711.0682.47.0092050616.37654252.180394.0741.833668.7971202655465219.583513.2517.138150.800832383.4692564939891.744.441.844881177109.51919331512392.31434398195.48326.72109.9971557894.428.559.721031087.3123021610.781541.4714646348670596310.6133131208.290.4033.50033371.216.272.07153316.524.6231.85464.26881.75.3316.29523.8459.69637.6879102.2897285.81.2644118.80924.973115.06846.73938.4244.146.078.52517.66119843928.32623.7260.1288297.2313.39311.5822133.2447612316811.555.375373293210.02252369.069022322.736.309411.59241.528.1195.7455.384.9585.167.4624.295131.33788.1641.97205.39268.307837512.757139.6612.171763889.7873.0391.7411043.767506.688829610842.5477536.748.365131.1257.54923622.8621.251268133.09231423.514517.0323923.921.267591.61219.14016.86343076608.723.778150791.35953.96026.9081.5509716.067844283.975062127.01335.6182130129515.00422893109.74628.020.8712.7250.51062.427.97146.3426.3984.88634.8817.87467815.75374.647401405.6015.32597.96013.7615077.319.37926.252055.731145700.1171.02996.30053.4544442598.66847.4058.1915.8332.4344751433.5495.457522966770.0493383.162731468177.32461.150.42677205.33921.92328.32560.857841665.7025.27829.86.7560.738575311.308.806506.84225010.9376.9346215.423315.2282.1360.0922.9745.4961622356333.3320.4143.4890.915540.16855.265732.05457.17139.0429.855.8813.4513.908.25828076290.9570.95199.60254.69264.2312575.513160.9719.5218.753.302.332.4359.7964.565.197.061.949.7682.075.81510.121.508377.254.280.409650273.2681.4325587.3710164303.1574056192.73245.1117.22456.58125.6009502361.9937.044154343.352.9781.146.02530.158404662848263.7761228.2629.3518.24925.537.4541555112.34813.591.39824863.2551.472389189.5703021399131360.3357529.8089.717121.11920762.6751298808213273.0093887797951515.1121533289.278315.63233.201275.8037.023171.431786.5042.37.3111966117.07352242.386379.1440.253810.8773938753425227.813644.9287.404145.512909370.2077220908290.794.5543.2246400823113.16818731560822.31479267553.14316.81113.4311605455.629.49.441061117.5122941568.551582.4114267741472450810.8903052203.140.4134.32732579.615.892.02358309.614.5231.18562.92980.05.2216.63823.3609.50136.85896922.2457428.51.2405318.45824.507112.92645.87037.7243.345.968.37717.37117944627.88614.0910.1308172.4413.19316.2526135.1363812284711.395.450368160160.20334364.083922023.035.839531.61238.528.4705.8154.6485.9784.166.6724.582129.80779.1941.5207.68265.360087412.896138.1612.041781788.8983.0692.6471033.803511.476546110942.9376836.347.930132.3157.03271223.0615.959270432.81431688.414639.1924124.121.442586.82019.29616.72742730397.923.587751197.96001.09626.6971.53906172279315.947902853.722280527.21333.1577205128567.08880589110.54227.821.0212.6350.86461.997.91946.6426.5685.41934.6717.77470369.86372.647440489.4215.24594.85213.8315149.319.28826.372046.501150845.0170.32295.91953.6544276999.00850.3158.0015.7832.5344885733.4495.473524466769.8494741.952738954627.34459.940.42787204.83221.87327.63360.737855585.6925.31828.56.7460.818568311.558.800506.60225079.79377.03462212.6447288765.4233333.3320.4143.4890.91137.116.485.5912.5313.668.68124978427.8671.501136.58272.28286.3962669.658166.85OpenBenchmarking.org

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Pop OS 20.04Pop OS 20.1020406080100SE +/- 0.04, N = 3SE +/- 0.21, N = 484.3619.52MIN: 67.87 / MAX: 109.54MIN: 13.93 / MAX: 45.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Pop OS 20.04Pop OS 20.101632486480Min: 84.29 / Avg: 84.36 / Max: 84.42Min: 19.18 / Avg: 19.52 / Max: 20.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: tfft2Pop OS 20.04Pop OS 20.10112233445549.0818.75

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Pop OS 20.04Pop OS 20.10246810SE +/- 0.24, N = 3SE +/- 0.00, N = 48.473.30MIN: 7.45 / MAX: 27.99MIN: 3.24 / MAX: 3.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Pop OS 20.04Pop OS 20.103691215Min: 8.16 / Avg: 8.47 / Max: 8.95Min: 3.29 / Avg: 3.3 / Max: 3.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Pop OS 20.04Pop OS 20.101.0352.073.1054.145.175SE +/- 0.01, N = 3SE +/- 0.01, N = 44.602.33MIN: 4.27 / MAX: 9.6MIN: 2.27 / MAX: 2.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Pop OS 20.04Pop OS 20.10246810Min: 4.58 / Avg: 4.6 / Max: 4.61Min: 2.31 / Avg: 2.33 / Max: 2.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetPop OS 20.04Pop OS 20.101.04852.0973.14554.1945.2425SE +/- 0.01, N = 3SE +/- 0.01, N = 44.662.43MIN: 4.41 / MAX: 5.4MIN: 2.38 / MAX: 6.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetPop OS 20.04Pop OS 20.10246810Min: 4.64 / Avg: 4.66 / Max: 4.67Min: 2.42 / Avg: 2.43 / Max: 2.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: YesPop OS 20.04Pop OS 20.10306090120150SE +/- 0.16, N = 3SE +/- 0.10, N = 3114.4459.80
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesPop OS 20.04Pop OS 20.1020406080100Min: 114.14 / Avg: 114.44 / Max: 114.68Min: 59.6 / Avg: 59.8 / Max: 59.9

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetPop OS 20.04Pop OS 20.10246810SE +/- 0.02, N = 3SE +/- 0.02, N = 48.514.56MIN: 7.13 / MAX: 29.75MIN: 4.5 / MAX: 11.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetPop OS 20.04Pop OS 20.103691215Min: 8.46 / Avg: 8.51 / Max: 8.54Min: 4.53 / Avg: 4.56 / Max: 4.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Pop OS 20.04Pop OS 20.103691215SE +/- 0.09, N = 2SE +/- 0.01, N = 49.655.19MIN: 9.05 / MAX: 31.86MIN: 5.13 / MAX: 7.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Pop OS 20.04Pop OS 20.103691215Min: 9.55 / Avg: 9.65 / Max: 9.74Min: 5.16 / Avg: 5.19 / Max: 5.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupPop OS 20.04Pop OS 20.103691215SE +/- 0.00, N = 3SE +/- 0.01, N = 312.807.06
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupPop OS 20.04Pop OS 20.1048121620Min: 12.8 / Avg: 12.8 / Max: 12.8Min: 7.05 / Avg: 7.06 / Max: 7.07

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Pop OS 20.04Pop OS 20.100.75151.5032.25453.0063.7575SE +/- 0.01, N = 3SE +/- 0.02, N = 43.341.94MIN: 3.22 / MAX: 5.29MIN: 1.87 / MAX: 8.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Pop OS 20.04Pop OS 20.10246810Min: 3.33 / Avg: 3.34 / Max: 3.35Min: 1.9 / Avg: 1.94 / Max: 2.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: NoPop OS 20.04Pop OS 20.1048121620SE +/- 0.059, N = 3SE +/- 0.023, N = 316.5129.768
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoPop OS 20.04Pop OS 20.1048121620Min: 16.44 / Avg: 16.51 / Max: 16.63Min: 9.72 / Avg: 9.77 / Max: 9.8

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Pop OS 20.04Pop OS 20.100.7831.5662.3493.1323.915SE +/- 0.00, N = 3SE +/- 0.00, N = 43.482.07MIN: 3.38 / MAX: 4.25MIN: 2.03 / MAX: 2.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Pop OS 20.04Pop OS 20.10246810Min: 3.48 / Avg: 3.48 / Max: 3.49Min: 2.06 / Avg: 2.07 / Max: 2.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: YesPop OS 20.04Pop OS 20.103691215SE +/- 0.010, N = 3SE +/- 0.014, N = 39.1015.815
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesPop OS 20.04Pop OS 20.103691215Min: 9.08 / Avg: 9.1 / Max: 9.12Min: 5.8 / Avg: 5.81 / Max: 5.84

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyPop OS 20.04Pop OS 20.1048121620SE +/- 0.02, N = 3SE +/- 0.04, N = 415.0410.12MIN: 12.6 / MAX: 42.1MIN: 9.51 / MAX: 33.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyPop OS 20.04Pop OS 20.1048121620Min: 15.01 / Avg: 15.04 / Max: 15.08Min: 10 / Avg: 10.12 / Max: 10.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUPop OS 20.04Pop OS 20.100.47880.95761.43641.91522.394SE +/- 0.02500, N = 6SE +/- 0.02199, N = 32.127891.50837MIN: 1.95MIN: 1.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUPop OS 20.04Pop OS 20.10246810Min: 2.06 / Avg: 2.13 / Max: 2.21Min: 1.47 / Avg: 1.51 / Max: 1.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetPop OS 20.04Pop OS 20.103691215SE +/- 0.16, N = 3SE +/- 0.00, N = 49.987.25MIN: 8.51 / MAX: 38.16MIN: 7.17 / MAX: 9.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetPop OS 20.04Pop OS 20.103691215Min: 9.81 / Avg: 9.98 / Max: 10.29Min: 7.24 / Avg: 7.25 / Max: 7.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetPop OS 20.04Pop OS 20.101.30952.6193.92855.2386.5475SE +/- 0.05, N = 3SE +/- 0.06, N = 45.824.28MIN: 5.53 / MAX: 19.72MIN: 3.98 / MAX: 12.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetPop OS 20.04Pop OS 20.10246810Min: 5.72 / Avg: 5.82 / Max: 5.88Min: 4.17 / Avg: 4.28 / Max: 4.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUPop OS 20.04Pop OS 20.100.11440.22880.34320.45760.572SE +/- 0.006670, N = 4SE +/- 0.001131, N = 30.5085440.409650MIN: 0.46MIN: 0.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUPop OS 20.04Pop OS 20.10246810Min: 0.49 / Avg: 0.51 / Max: 0.52Min: 0.41 / Avg: 0.41 / Max: 0.411. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

G'MIC

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

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesPop OS 20.04Pop OS 20.1060120180240300SE +/- 1.54, N = 3SE +/- 1.23, N = 3222.56273.271. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesPop OS 20.04Pop OS 20.1050100150200250Min: 219.65 / Avg: 222.56 / Max: 224.92Min: 271.48 / Avg: 273.27 / Max: 275.621. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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: airPop OS 20.04Pop OS 20.100.38480.76961.15441.53921.9241.711.43

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityPop OS 20.04Pop OS 20.105K10K15K20K25KSE +/- 178.33, N = 3SE +/- 41.65, N = 321460.2125587.371. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityPop OS 20.04Pop OS 20.104K8K12K16K20KMin: 21232.37 / Avg: 21460.21 / Max: 21811.77Min: 25539.22 / Avg: 25587.37 / Max: 25670.321. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

Java 2D Microbenchmark

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

OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: Image RenderingPop OS 20.04Pop OS 20.102M4M6M8M10MSE +/- 33957.70, N = 4SE +/- 76198.19, N = 48553596.5110164303.16
OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: Image RenderingPop OS 20.04Pop OS 20.102M4M6M8M10MMin: 8482342.34 / Avg: 8553596.51 / Max: 8613131.88Min: 9978573.65 / Avg: 10164303.16 / Max: 10299823.44

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 SearchPop OS 20.04Pop OS 20.104080120160200SE +/- 0.31, N = 3SE +/- 0.19, N = 3165.04192.731. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchPop OS 20.04Pop OS 20.104080120160200Min: 164.54 / Avg: 165.04 / Max: 165.62Min: 192.36 / Avg: 192.73 / Max: 192.981. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaPop OS 20.04Pop OS 20.101224364860SE +/- 0.46, N = 3SE +/- 0.49, N = 351.9245.11
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaPop OS 20.04Pop OS 20.101020304050Min: 51.45 / Avg: 51.92 / Max: 52.84Min: 44.62 / Avg: 45.11 / Max: 46.09

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 CompilePop OS 20.04Pop OS 20.10510152025SE +/- 0.06, N = 3SE +/- 0.03, N = 319.7417.22
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompilePop OS 20.04Pop OS 20.10510152025Min: 19.63 / Avg: 19.74 / Max: 19.8Min: 17.19 / Avg: 17.22 / Max: 17.28

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurPop OS 20.04Pop OS 20.101428425670SE +/- 0.24, N = 3SE +/- 0.10, N = 364.7356.58
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurPop OS 20.04Pop OS 20.101326395265Min: 64.48 / Avg: 64.73 / Max: 65.2Min: 56.48 / Avg: 56.58 / Max: 56.77

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGPop OS 20.04Pop OS 20.10714212835SE +/- 0.04, N = 3SE +/- 0.11, N = 329.1525.601. Pop OS 20.04: rsvg-convert version 2.48.72. Pop OS 20.10: rsvg-convert version 2.50.1
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGPop OS 20.04Pop OS 20.10612182430Min: 29.08 / Avg: 29.15 / Max: 29.2Min: 25.41 / Avg: 25.6 / Max: 25.791. Pop OS 20.04: rsvg-convert version 2.48.72. Pop OS 20.10: rsvg-convert version 2.50.1

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresPop OS 20.04Pop OS 20.102M4M6M8M10MSE +/- 10552.55, N = 3SE +/- 73990.03, N = 310710303.239502361.991. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresPop OS 20.04Pop OS 20.102M4M6M8M10MMin: 10696295.03 / Avg: 10710303.23 / Max: 10730978.35Min: 9400469.5 / Avg: 9502361.99 / Max: 9646243.781. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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: AntialiasPop OS 20.04Pop OS 20.10918273645SE +/- 0.03, N = 3SE +/- 0.02, N = 341.0837.04
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasPop OS 20.04Pop OS 20.10918273645Min: 41.03 / Avg: 41.08 / Max: 41.1Min: 37.01 / Avg: 37.04 / Max: 37.06

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenPop OS 20.04Pop OS 20.1030060090012001500SE +/- 7.88, N = 3SE +/- 9.54, N = 3140315431. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenPop OS 20.04Pop OS 20.1030060090012001500Min: 1391 / Avg: 1403.33 / Max: 1418Min: 1532 / Avg: 1543 / Max: 15621. (CXX) g++ options: -flto -pthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatePop OS 20.04Pop OS 20.101122334455SE +/- 0.23, N = 3SE +/- 0.03, N = 347.543.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatePop OS 20.04Pop OS 20.101020304050Min: 47.1 / Avg: 47.53 / Max: 47.9Min: 43.3 / Avg: 43.33 / Max: 43.4

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhancePop OS 20.04Pop OS 20.101326395265SE +/- 0.10, N = 3SE +/- 0.12, N = 358.1052.98
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhancePop OS 20.04Pop OS 20.101122334455Min: 57.97 / Avg: 58.1 / Max: 58.29Min: 52.74 / Avg: 52.98 / Max: 53.12

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefacePop OS 20.04Pop OS 20.100.28130.56260.84391.12521.4065SE +/- 0.04, N = 3SE +/- 0.01, N = 41.251.14MIN: 1.1 / MAX: 15.98MIN: 1.01 / MAX: 5.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefacePop OS 20.04Pop OS 20.10246810Min: 1.2 / Avg: 1.25 / Max: 1.33Min: 1.1 / Avg: 1.14 / Max: 1.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScalePop OS 20.04Pop OS 20.10246810SE +/- 0.019, N = 3SE +/- 0.052, N = 36.6046.025
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScalePop OS 20.04Pop OS 20.103691215Min: 6.57 / Avg: 6.6 / Max: 6.64Min: 5.95 / Avg: 6.02 / Max: 6.12

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassPop OS 20.04Pop OS 20.10816243240SE +/- 0.04, N = 3SE +/- 0.01, N = 332.9730.16
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassPop OS 20.04Pop OS 20.10714212835Min: 32.9 / Avg: 32.97 / Max: 33.02Min: 30.13 / Avg: 30.16 / Max: 30.18

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: pickle_pure_pythonPop OS 20.04Pop OS 20.10100200300400500SE +/- 2.40, N = 3SE +/- 0.33, N = 3441404
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonPop OS 20.04Pop OS 20.1080160240320400Min: 436 / Avg: 440.67 / Max: 444Min: 404 / Avg: 404.33 / Max: 405

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Pop OS 20.04Pop OS 20.10140K280K420K560K700KSE +/- 9183.49, N = 3SE +/- 9494.68, N = 3608725662848
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Pop OS 20.04Pop OS 20.10110K220K330K440K550KMin: 596928 / Avg: 608725 / Max: 626815Min: 646191 / Avg: 662848.33 / Max: 679073

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Pop OS 20.04Pop OS 20.1060120180240300SE +/- 3.39, N = 3SE +/- 0.33, N = 3285.92263.78MIN: 272.2 / MAX: 310.86MIN: 253.36 / MAX: 295.531. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Pop OS 20.04Pop OS 20.1050100150200250Min: 279.67 / Avg: 285.92 / Max: 291.34Min: 263.29 / Avg: 263.78 / Max: 264.41. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDPop OS 20.04Pop OS 20.1030060090012001500SE +/- 1.43, N = 3SE +/- 2.24, N = 31328.981228.261. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDPop OS 20.04Pop OS 20.102004006008001000Min: 1327.54 / Avg: 1328.98 / Max: 1331.85Min: 1223.78 / Avg: 1228.26 / Max: 1230.671. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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: ReflectPop OS 20.04Pop OS 20.10714212835SE +/- 0.08, N = 3SE +/- 0.00, N = 331.5929.35
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectPop OS 20.04Pop OS 20.10714212835Min: 31.51 / Avg: 31.59 / Max: 31.75Min: 29.35 / Avg: 29.35 / Max: 29.35

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropPop OS 20.04Pop OS 20.10246810SE +/- 0.043, N = 3SE +/- 0.037, N = 38.8438.249
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropPop OS 20.04Pop OS 20.103691215Min: 8.8 / Avg: 8.84 / Max: 8.93Min: 8.2 / Avg: 8.25 / Max: 8.32

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsPop OS 20.04Pop OS 20.10612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 323.925.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsPop OS 20.04Pop OS 20.10612182430Min: 23.8 / Avg: 23.87 / Max: 23.9Min: 25.4 / Avg: 25.47 / Max: 25.5

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesPop OS 20.04Pop OS 20.10918273645SE +/- 0.01, N = 3SE +/- 0.02, N = 339.9237.45
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesPop OS 20.04Pop OS 20.10816243240Min: 39.91 / Avg: 39.92 / Max: 39.93Min: 37.41 / Avg: 37.45 / Max: 37.49

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASPop OS 20.04Pop OS 20.1030060090012001500SE +/- 23.33, N = 3SE +/- 5.84, N = 3146215551. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASPop OS 20.04Pop OS 20.1030060090012001500Min: 1425 / Avg: 1461.67 / Max: 1505Min: 1549 / Avg: 1555.33 / Max: 15671. (CXX) g++ options: -flto -pthread

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: 24Pop OS 20.04Pop OS 20.10306090120150SE +/- 0.94, N = 3SE +/- 0.06, N = 3119.19112.351. (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: 24Pop OS 20.04Pop OS 20.1020406080100Min: 117.77 / Avg: 119.19 / Max: 120.96Min: 112.25 / Avg: 112.35 / Max: 112.461. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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: shufflenet-v2Pop OS 20.04Pop OS 20.1048121620SE +/- 0.45, N = 3SE +/- 0.32, N = 314.4013.59MIN: 13.1 / MAX: 33.21MIN: 12.75 / MAX: 19.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Pop OS 20.04Pop OS 20.1048121620Min: 13.51 / Avg: 14.4 / Max: 15Min: 13.22 / Avg: 13.59 / Max: 14.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: DefaultPop OS 20.04Pop OS 20.100.33320.66640.99961.33281.666SE +/- 0.002, N = 3SE +/- 0.005, N = 31.4811.3981. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultPop OS 20.04Pop OS 20.10246810Min: 1.48 / Avg: 1.48 / Max: 1.48Min: 1.39 / Avg: 1.4 / Max: 1.411. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressPop OS 20.04Pop OS 20.105K10K15K20K25KSE +/- 126.54, N = 3SE +/- 34.23, N = 323480.9224863.251. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressPop OS 20.04Pop OS 20.104K8K12K16K20KMin: 23257.91 / Avg: 23480.92 / Max: 23696.06Min: 24795.48 / Avg: 24863.25 / Max: 24905.531. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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: fatigue2Pop OS 20.04Pop OS 20.10122436486048.6151.47

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 SecondPop OS 20.04Pop OS 20.10500K1000K1500K2000K2500KSE +/- 15042.16, N = 3SE +/- 7921.87, N = 32256436.982389189.571. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondPop OS 20.04Pop OS 20.10400K800K1200K1600K2000KMin: 2227442.79 / Avg: 2256436.98 / Max: 2277884.06Min: 2373667.13 / Avg: 2389189.57 / Max: 2399700.041. (CC) gcc options: -O2 -lrt" -lrt

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Pop OS 20.04Pop OS 20.1030K60K90K120K150KSE +/- 128.26, N = 3SE +/- 403.30, N = 31481131399131. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Pop OS 20.04Pop OS 20.1030K60K90K120K150KMin: 147901 / Avg: 148112.67 / Max: 148344Min: 139327 / Avg: 139913 / Max: 1406861. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMAPop OS 20.04Pop OS 20.1030060090012001500SE +/- 10.43, N = 3SE +/- 11.10, N = 31436.461360.331. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMAPop OS 20.04Pop OS 20.1030060090012001500Min: 1418.81 / Avg: 1436.46 / Max: 1454.9Min: 1346.58 / Avg: 1360.33 / Max: 1382.31. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingPop OS 20.04Pop OS 20.1013K26K39K52K65KSE +/- 318.60, N = 3SE +/- 554.14, N = 960628.8457529.801. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingPop OS 20.04Pop OS 20.1011K22K33K44K55KMin: 59993.09 / Avg: 60628.84 / Max: 60983.83Min: 53243.7 / Avg: 57529.8 / Max: 58796.441. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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: CartoonPop OS 20.04Pop OS 20.1020406080100SE +/- 0.33, N = 3SE +/- 0.07, N = 394.5289.72
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonPop OS 20.04Pop OS 20.1020406080100Min: 93.88 / Avg: 94.52 / Max: 94.93Min: 89.59 / Avg: 89.72 / Max: 89.81

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: 8Pop OS 20.04Pop OS 20.10306090120150SE +/- 0.34, N = 3SE +/- 0.19, N = 3115.00121.121. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 8Pop OS 20.04Pop OS 20.1020406080100Min: 114.39 / Avg: 115 / Max: 115.55Min: 120.86 / Avg: 121.12 / Max: 121.481. (CC) gcc options: -O2 -lz -lm -ldl -lpthread

Java 2D Microbenchmark

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

OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: Text RenderingPop OS 20.04Pop OS 20.105K10K15K20K25KSE +/- 265.68, N = 4SE +/- 169.43, N = 421836.3420762.68
OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: Text RenderingPop OS 20.04Pop OS 20.104K8K12K16K20KMin: 21229.67 / Avg: 21836.34 / Max: 22465.88Min: 20284.81 / Avg: 20762.68 / Max: 21084.93

OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: All Rendering TestsPop OS 20.04Pop OS 20.102M4M6M8M10MSE +/- 81902.34, N = 4SE +/- 32569.86, N = 47815320.968213273.01
OpenBenchmarking.orgUnits Per Second, More Is BetterJava 2D Microbenchmark 1.0Rendering Test: All Rendering TestsPop OS 20.04Pop OS 20.101.4M2.8M4.2M5.6M7MMin: 7570006.39 / Avg: 7815320.96 / Max: 7906626.73Min: 8165374.44 / Avg: 8213273.01 / Max: 8307290.84

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingPop OS 20.04Pop OS 20.102M4M6M8M10MSE +/- 31345.48, N = 3SE +/- 73738.48, N = 3759955179795151. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingPop OS 20.04Pop OS 20.101.4M2.8M4.2M5.6M7MMin: 7564221 / Avg: 7599550.67 / Max: 7662065Min: 7859391 / Avg: 7979515.33 / Max: 81136701. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsPop OS 20.04Pop OS 20.1048121620SE +/- 0.22, N = 4SE +/- 0.09, N = 315.8315.11
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.18Test: auto-levelsPop OS 20.04Pop OS 20.1048121620Min: 15.47 / Avg: 15.83 / Max: 16.43Min: 15.01 / Avg: 15.11 / Max: 15.28

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilePop OS 20.04Pop OS 20.104080120160200SE +/- 0.58, N = 3SE +/- 0.33, N = 3160153
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilePop OS 20.04Pop OS 20.10306090120150Min: 159 / Avg: 160 / Max: 161Min: 153 / Avg: 153.33 / Max: 154

ParaView

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

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Pop OS 20.04Pop OS 20.107001400210028003500SE +/- 34.36, N = 7SE +/- 15.16, N = 33145.943289.28
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Pop OS 20.04Pop OS 20.106001200180024003000Min: 3054.28 / Avg: 3145.94 / Max: 3279.13Min: 3269.7 / Avg: 3289.28 / Max: 3319.11

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Pop OS 20.04Pop OS 20.1070140210280350SE +/- 3.30, N = 7SE +/- 1.46, N = 3301.88315.63
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 1920 x 1080Pop OS 20.04Pop OS 20.1060120180240300Min: 293.08 / Avg: 301.88 / Max: 314.66Min: 313.75 / Avg: 315.63 / Max: 318.5

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastPop OS 20.04Pop OS 20.1050100150200250SE +/- 3.51, N = 3SE +/- 1.02, N = 3243.71233.201. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastPop OS 20.04Pop OS 20.104080120160200Min: 237.23 / Avg: 243.71 / Max: 249.29Min: 231.42 / Avg: 233.2 / Max: 234.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LuaJIT

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

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Sparse Matrix MultiplyPop OS 20.04Pop OS 20.1030060090012001500SE +/- 3.63, N = 3SE +/- 4.60, N = 31221.291275.801. (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 MultiplyPop OS 20.04Pop OS 20.102004006008001000Min: 1217 / Avg: 1221.29 / Max: 1228.52Min: 1268.51 / Avg: 1275.8 / Max: 1284.311. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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 CompilePop OS 20.04Pop OS 20.10918273645SE +/- 0.05, N = 3SE +/- 0.04, N = 335.4537.02
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompilePop OS 20.04Pop OS 20.10816243240Min: 35.37 / Avg: 35.45 / Max: 35.54Min: 36.97 / Avg: 37.02 / Max: 37.11

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: 3840 x 2160Pop OS 20.04Pop OS 20.104080120160200SE +/- 0.20, N = 3SE +/- 0.84, N = 3164.19171.43
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 3840 x 2160Pop OS 20.04Pop OS 20.10306090120150Min: 163.8 / Avg: 164.19 / Max: 164.45Min: 170.04 / Avg: 171.43 / Max: 172.94

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 3840 x 2160Pop OS 20.04Pop OS 20.10400800120016002000SE +/- 2.06, N = 3SE +/- 8.76, N = 31711.071786.50
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.4.1Test: Wavelet Contour - Resolution: 3840 x 2160Pop OS 20.04Pop OS 20.1030060090012001500Min: 1707.03 / Avg: 1711.07 / Max: 1713.79Min: 1771.97 / Avg: 1786.5 / Max: 1802.25

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 SyncPop OS 20.04Pop OS 20.100.541.081.622.162.7SE +/- 0.00, N = 3SE +/- 0.03, N = 32.42.31. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncPop OS 20.04Pop OS 20.10246810Min: 2.4 / Avg: 2.4 / Max: 2.4Min: 2.3 / Avg: 2.33 / Max: 2.41. (CXX) g++ options: -O3 -lsnappy -lpthread

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Pop OS 20.04Pop OS 20.10246810SE +/- 0.047, N = 5SE +/- 0.041, N = 57.0097.311
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Pop OS 20.04Pop OS 20.103691215Min: 6.9 / Avg: 7.01 / Max: 7.18Min: 7.23 / Avg: 7.31 / Max: 7.47

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Pop OS 20.04Pop OS 20.104K8K12K16K20KSE +/- 45.28, N = 3SE +/- 52.84, N = 32050619661
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Pop OS 20.04Pop OS 20.104K8K12K16K20KMin: 20416 / Avg: 20506.33 / Max: 20557Min: 19555 / Avg: 19660.67 / Max: 19715

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: pathlibPop OS 20.04Pop OS 20.1048121620SE +/- 0.03, N = 3SE +/- 0.06, N = 316.317.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibPop OS 20.04Pop OS 20.1048121620Min: 16.3 / Avg: 16.33 / Max: 16.4Min: 16.9 / Avg: 17 / Max: 17.1

PostMark

This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformancePop OS 20.04Pop OS 20.1016003200480064008000SE +/- 79.00, N = 3765473521. (CC) gcc options: -O3
OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformancePop OS 20.04Pop OS 20.1013002600390052006500Min: 7575 / Avg: 7654 / Max: 78121. (CC) gcc options: -O3

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 v1.1Pop OS 20.04Pop OS 20.1060120180240300SE +/- 0.59, N = 3SE +/- 0.04, N = 3252.18242.39MIN: 249.83 / MAX: 254.13MIN: 241.15 / MAX: 244.951. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Pop OS 20.04Pop OS 20.1050100150200250Min: 251.09 / Avg: 252.18 / Max: 253.09Min: 242.33 / Avg: 242.39 / Max: 242.471. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 1080pPop OS 20.04Pop OS 20.1090180270360450SE +/- 2.19, N = 3SE +/- 2.66, N = 3394.07379.141. (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 1080pPop OS 20.04Pop OS 20.1070140210280350Min: 391.39 / Avg: 394.07 / Max: 398.41Min: 373.83 / Avg: 379.14 / Max: 381.921. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 BenchmarkPop OS 20.04Pop OS 20.101020304050SE +/- 0.46, N = 3SE +/- 0.06, N = 341.8340.251. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkPop OS 20.04Pop OS 20.10918273645Min: 40.93 / Avg: 41.83 / Max: 42.45Min: 40.17 / Avg: 40.25 / Max: 40.361. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

LuaJIT

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

OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: Dense LU Matrix FactorizationPop OS 20.04Pop OS 20.108001600240032004000SE +/- 18.22, N = 3SE +/- 9.34, N = 33668.793810.871. (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 FactorizationPop OS 20.04Pop OS 20.107001400210028003500Min: 3648.96 / Avg: 3668.79 / Max: 3705.18Min: 3799.12 / Avg: 3810.87 / Max: 3829.321. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Pop OS 20.04Pop OS 20.10160K320K480K640K800KSE +/- 12287.55, N = 3SE +/- 8089.81, N = 3712026739387
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Pop OS 20.04Pop OS 20.10130K260K390K520K650KMin: 692627 / Avg: 712025.67 / Max: 734791Min: 723218 / Avg: 739387 / Max: 747979

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Pop OS 20.04Pop OS 20.1012K24K36K48K60KSE +/- 240.27, N = 3SE +/- 96.78, N = 355465534251. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Pop OS 20.04Pop OS 20.1010K20K30K40K50KMin: 54994 / Avg: 55465 / Max: 55783Min: 53266 / Avg: 53424.67 / Max: 536001. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 Volume - Resolution: 1920 x 1080Pop OS 20.04Pop OS 20.1050100150200250SE +/- 0.22, N = 3SE +/- 1.90, N = 15219.58227.81
OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Pop OS 20.04Pop OS 20.104080120160200Min: 219.2 / Avg: 219.58 / Max: 219.96Min: 215.25 / Avg: 227.81 / Max: 245.88

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Pop OS 20.04Pop OS 20.108001600240032004000SE +/- 3.52, N = 3SE +/- 30.37, N = 153513.253644.93
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.4.1Test: Wavelet Volume - Resolution: 1920 x 1080Pop OS 20.04Pop OS 20.106001200180024003000Min: 3507.13 / Avg: 3513.25 / Max: 3519.31Min: 3444.05 / Avg: 3644.93 / Max: 3934.07

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionPop OS 20.04Pop OS 20.10246810SE +/- 0.015, N = 3SE +/- 0.011, N = 37.1387.4041. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionPop OS 20.04Pop OS 20.103691215Min: 7.11 / Avg: 7.14 / Max: 7.16Min: 7.39 / Avg: 7.4 / Max: 7.431. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: Material TesterPop OS 20.04Pop OS 20.10306090120150150.80145.51

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: HighPop OS 20.04Pop OS 20.1080160240320400SE +/- 3.24, N = 3SE +/- 1.03, N = 3383.47370.21MIN: 235 / MAX: 737MIN: 221 / MAX: 712
OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: HighPop OS 20.04Pop OS 20.1070140210280350Min: 379.5 / Avg: 383.47 / Max: 389.89Min: 368.3 / Avg: 370.21 / Max: 371.84

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEPop OS 20.04Pop OS 20.10200K400K600K800K1000KSE +/- 4104.72, N = 3SE +/- 4367.48, N = 3939891.74908290.791. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEPop OS 20.04Pop OS 20.10160K320K480K640K800KMin: 935503.39 / Avg: 939891.74 / Max: 948094.5Min: 902832.67 / Avg: 908290.79 / Max: 916925.91. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

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: mdbxPop OS 20.04Pop OS 20.101.02382.04763.07144.09525.1194.404.55

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: channel2Pop OS 20.04Pop OS 20.10102030405041.8043.22

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 1.2.4Pop OS 20.04Pop OS 20.1010M20M30M40M50MSE +/- 167341.17, N = 3SE +/- 261985.44, N = 344881177464008231. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Pop OS 20.04Pop OS 20.108M16M24M32M40MMin: 44563910 / Avg: 44881176.67 / Max: 45132090Min: 46085960 / Avg: 46400823.33 / Max: 469209601. (CXX) g++ options: -O3 -fopenmp

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadPop OS 20.04Pop OS 20.10306090120150SE +/- 0.39, N = 3SE +/- 0.18, N = 3109.52113.171. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadPop OS 20.04Pop OS 20.1020406080100Min: 108.75 / Avg: 109.52 / Max: 110Min: 112.81 / Avg: 113.17 / Max: 113.371. (CXX) g++ options: -O3 -lsnappy -lpthread

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScorePop OS 20.04Pop OS 20.1040080012001600200019331873

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Pop OS 20.04Pop OS 20.10300K600K900K1200K1500KSE +/- 2557.98, N = 3SE +/- 3262.53, N = 31512392.31560822.3
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Pop OS 20.04Pop OS 20.10300K600K900K1200K1500KMin: 1507656 / Avg: 1512392.3 / Max: 1516435.4Min: 1554341.4 / Avg: 1560822.3 / Max: 1564719.1

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocPop OS 20.04Pop OS 20.10300M600M900M1200M1500MSE +/- 3294705.19, N = 3SE +/- 4454743.33, N = 31434398195.481479267553.141. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocPop OS 20.04Pop OS 20.10300M600M900M1200M1500MMin: 1429869120.13 / Avg: 1434398195.48 / Max: 1440807712.56Min: 1472078316.06 / Avg: 1479267553.14 / Max: 1487419623.51. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pPop OS 20.04Pop OS 20.1070140210280350SE +/- 2.60, N = 3SE +/- 1.98, N = 3326.72316.811. (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 1080pPop OS 20.04Pop OS 20.1060120180240300Min: 323.45 / Avg: 326.72 / Max: 331.86Min: 313.48 / Avg: 316.81 / Max: 320.341. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadPop OS 20.04Pop OS 20.10306090120150SE +/- 0.20, N = 3SE +/- 1.63, N = 4110.00113.431. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadPop OS 20.04Pop OS 20.1020406080100Min: 109.61 / Avg: 110 / Max: 110.26Min: 111.38 / Avg: 113.43 / Max: 118.271. (CXX) g++ options: -O3 -lsnappy -lpthread

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Pop OS 20.04Pop OS 20.10300K600K900K1200K1500KSE +/- 1531.99, N = 3SE +/- 3082.28, N = 31557894.41605455.6
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Pop OS 20.04Pop OS 20.10300K600K900K1200K1500KMin: 1555635.9 / Avg: 1557894.43 / Max: 1560816.8Min: 1601303 / Avg: 1605455.63 / Max: 1611477.6

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: test_fpu2Pop OS 20.04Pop OS 20.1071421283528.5529.40

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughPop OS 20.04Pop OS 20.103691215SE +/- 0.04, N = 3SE +/- 0.03, N = 39.729.441. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughPop OS 20.04Pop OS 20.103691215Min: 9.68 / Avg: 9.72 / Max: 9.79Min: 9.38 / Avg: 9.44 / Max: 9.471. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesPop OS 20.04Pop OS 20.1020406080100103106

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyPop OS 20.04Pop OS 20.1020406080100SE +/- 0.33, N = 3SE +/- 0.33, N = 3108111
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyPop OS 20.04Pop OS 20.1020406080100Min: 107 / Avg: 107.67 / Max: 108Min: 110 / Avg: 110.67 / Max: 111

LAME MP3 Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Pop OS 20.04Pop OS 20.10246810SE +/- 0.024, N = 3SE +/- 0.011, N = 37.3127.5121. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Pop OS 20.04Pop OS 20.103691215Min: 7.28 / Avg: 7.31 / Max: 7.36Min: 7.49 / Avg: 7.51 / Max: 7.531. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Pop OS 20.04Pop OS 20.1070140210280350302294

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestPop OS 20.04Pop OS 20.1030060090012001500SE +/- 24.01, N = 3SE +/- 20.07, N = 31610.781568.55MIN: 1389.69 / MAX: 1676.23MIN: 1381.67 / MAX: 1657.331. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestPop OS 20.04Pop OS 20.1030060090012001500Min: 1568.09 / Avg: 1610.78 / Max: 1651.15Min: 1544.74 / Avg: 1568.55 / Max: 1608.431. (CC) gcc options: -O2 -lm -pthread -lmpi

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: CompositePop OS 20.04Pop OS 20.1030060090012001500SE +/- 2.00, N = 3SE +/- 2.02, N = 31541.471582.411. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.orgMflops, More Is BetterLuaJIT 2.1-gitTest: CompositePop OS 20.04Pop OS 20.1030060090012001500Min: 1537.58 / Avg: 1541.47 / Max: 1544.22Min: 1580.13 / Avg: 1582.41 / Max: 1586.441. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector

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 TimePop OS 20.04Pop OS 20.1030M60M90M120M150MSE +/- 263429.87, N = 3SE +/- 1603296.03, N = 71464634861426774141. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 9Total TimePop OS 20.04Pop OS 20.1030M60M90M120M150MMin: 146122225 / Avg: 146463485.67 / Max: 146981739Min: 138183927 / Avg: 142677414 / Max: 1493934101. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolPop OS 20.04Pop OS 20.10160K320K480K640K800KSE +/- 1928.95, N = 3SE +/- 2723.47, N = 3705963724508
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolPop OS 20.04Pop OS 20.10130K260K390K520K650KMin: 702798 / Avg: 705963.33 / Max: 709456Min: 719187 / Avg: 724508 / Max: 728177

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 CompilePop OS 20.04Pop OS 20.103691215SE +/- 0.03, N = 3SE +/- 0.07, N = 310.6110.89
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompilePop OS 20.04Pop OS 20.103691215Min: 10.56 / Avg: 10.61 / Max: 10.65Min: 10.81 / Avg: 10.89 / Max: 11.03

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScorePop OS 20.04Pop OS 20.10700140021002800350031313052

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 EncodePop OS 20.04Pop OS 20.1050100150200250SE +/- 1.79, N = 3SE +/- 0.16, N = 3208.29203.141. (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 EncodePop OS 20.04Pop OS 20.104080120160200Min: 206.19 / Avg: 208.29 / Max: 211.86Min: 202.84 / Avg: 203.14 / Max: 203.391. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm8192.in input file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsPop OS 20.04Pop OS 20.100.09230.18460.27690.36920.4615SE +/- 0.00, N = 3SE +/- 0.00, N = 30.400.411. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsPop OS 20.04Pop OS 20.1012345Min: 0.4 / Avg: 0.4 / Max: 0.41Min: 0.41 / Avg: 0.41 / Max: 0.421. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionPop OS 20.04Pop OS 20.10816243240SE +/- 0.22, N = 3SE +/- 0.17, N = 333.5034.331. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionPop OS 20.04Pop OS 20.10714212835Min: 33.17 / Avg: 33.5 / Max: 33.91Min: 34.01 / Avg: 34.33 / Max: 34.61. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantPop OS 20.04Pop OS 20.107K14K21K28K35KSE +/- 353.76, N = 3SE +/- 314.48, N = 333371.232579.6
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantPop OS 20.04Pop OS 20.106K12K18K24K30KMin: 32701.8 / Avg: 33371.23 / Max: 33904.3Min: 31952.1 / Avg: 32579.57 / Max: 32930.9

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: capacitaPop OS 20.04Pop OS 20.104812162016.2715.89

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUPop OS 20.04Pop OS 20.100.46610.93221.39831.86442.3305SE +/- 0.01201, N = 3SE +/- 0.00102, N = 32.071532.02358MIN: 1.93MIN: 1.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUPop OS 20.04Pop OS 20.10246810Min: 2.05 / Avg: 2.07 / Max: 2.09Min: 2.02 / Avg: 2.02 / Max: 2.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestPop OS 20.04Pop OS 20.1070140210280350SE +/- 4.29, N = 3SE +/- 1.71, N = 3316.52309.61MIN: 87.5 / MAX: 347.79MIN: 70.58 / MAX: 347.581. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestPop OS 20.04Pop OS 20.1060120180240300Min: 311.03 / Avg: 316.52 / Max: 324.98Min: 307.74 / Avg: 309.61 / Max: 313.021. (CC) gcc options: -O2 -lm -pthread -lmpi

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastPop OS 20.04Pop OS 20.101.03952.0793.11854.1585.1975SE +/- 0.01, N = 3SE +/- 0.02, N = 34.624.521. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastPop OS 20.04Pop OS 20.10246810Min: 4.6 / Avg: 4.62 / Max: 4.63Min: 4.5 / Avg: 4.52 / Max: 4.561. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Pop OS 20.04Pop OS 20.10714212835SE +/- 0.17, N = 15SE +/- 0.20, N = 1531.8531.19MIN: 30.35 / MAX: 35.69MIN: 29.36 / MAX: 36.621. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Pop OS 20.04Pop OS 20.10714212835Min: 30.75 / Avg: 31.85 / Max: 33.11Min: 29.79 / Avg: 31.18 / Max: 32.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

SQLite Speedtest

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Pop OS 20.04Pop OS 20.101428425670SE +/- 0.08, N = 3SE +/- 0.31, N = 364.2762.931. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Pop OS 20.04Pop OS 20.101326395265Min: 64.12 / Avg: 64.27 / Max: 64.41Min: 62.57 / Avg: 62.93 / Max: 63.541. (CC) gcc options: -O2 -ldl -lz -lpthread

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: 19Pop OS 20.04Pop OS 20.1020406080100SE +/- 0.06, N = 3SE +/- 1.07, N = 381.780.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Pop OS 20.04Pop OS 20.101632486480Min: 81.6 / Avg: 81.7 / Max: 81.8Min: 78.3 / Avg: 80.03 / Max: 821. (CC) gcc options: -O3 -pthread -lz -llzma

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumPop OS 20.04Pop OS 20.101.19932.39863.59794.79725.9965SE +/- 0.01, N = 3SE +/- 0.00, N = 35.335.221. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumPop OS 20.04Pop OS 20.10246810Min: 5.31 / Avg: 5.33 / Max: 5.36Min: 5.22 / Avg: 5.22 / Max: 5.231. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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, LosslessPop OS 20.04Pop OS 20.1048121620SE +/- 0.06, N = 3SE +/- 0.04, N = 316.3016.641. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessPop OS 20.04Pop OS 20.1048121620Min: 16.21 / Avg: 16.3 / Max: 16.42Min: 16.56 / Avg: 16.64 / Max: 16.711. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinPop OS 20.04Pop OS 20.10612182430