AMD Ryzen Threadripper 3990X benchmarking of Pop OS 20.10 by Michael Larabel for a future article.
Pop OS 20.04 Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: System76 Thelio Major (F4c Z5 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200
OS: Pop 20.04, Kernel: 5.4.0-7642-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.8 (LLVM 10.0.0), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: snd_usb_audio.ignore_ctl_error=1Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Notes: NONE / errors=remount-ro,noatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Notes: Python 3.8.5Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Pop OS 20.10 Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: System76 Thelio Major (F4c Z5 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: Samsung SSD 970 EVO Plus 500GB + 32GB Flash Disk , Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200
OS: Pop 20.10, Kernel: 5.8.0-7625-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 3840x2160
Kernel Notes: snd_usb_audio.ignore_ctl_error=1Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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 -vDisk Notes: NONE / errors=remount-ro,noatime,rwProcessor Notes: Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1)Python Notes: Python 3.8.6Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
System76 Thelio Major 3990X Pop OS Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution Pop OS 20.04 Pop OS 20.10 AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads) System76 Thelio Major (F4c Z5 BIOS) AMD Starship/Matisse 126GB Samsung SSD 970 EVO Plus 500GB AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz) AMD Navi 10 HDMI Audio DELL P2415Q Intel I211 + Intel Wi-Fi 6 AX200 Pop 20.04 5.4.0-7642-generic (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 amdgpu 19.1.0 4.6 Mesa 20.0.8 (LLVM 10.0.0) 1.2.128 GCC 9.3.0 ext4 3840x2160 Samsung SSD 970 EVO Plus 500GB + 32GB Flash Disk Pop 20.10 5.8.0-7625-generic (x86_64) GNOME Shell 3.38.1 4.6 Mesa 20.2.1 (LLVM 11.0.0) 1.2.131 GCC 10.2.0 OpenBenchmarking.org Kernel Details - snd_usb_audio.ignore_ctl_error=1 Compiler 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,rw Processor Details - Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x8301025 Graphics Details - GLAMOR Java 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 3.8.6 Security 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 Comparison Phoronix Test Suite Baseline +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% MMAP Vulkan GPU - alexnet Vulkan GPU - vgg16 tfft2 Vulkan GPU-v3-v3 - mobilenet-v3 Vulkan GPU-v2-v2 - mobilenet-v2 Vulkan GPU - mnasnet 4x - Yes Vulkan GPU - googlenet Vulkan GPU - resnet50 python_startup Vulkan GPU - resnet18 4x - No Vulkan GPU - shufflenet-v2 2x - 3 - Yes Vulkan GPU - yolov4-tiny C.B.S.A - f32 - CPU Vulkan GPU - mobilenet Vulkan GPU - squeezenet M.M.B.S.T - f32 - CPU 2.F.P.1.T 22.8% air Socket Activity Image Rendering P.D.S 16.8% scikit_ica Time To Compile Wavelet Blur SVG Files To PNG Semaphores 12.7% Context Switching 12.4% Antialias Eigen django_template Color Enhance Vulkan GPU - blazeface Scale Tile Glass pickle_pure_python I.R.V 8.9% CPU - MobileNet v2 Reactor 8.4% MEMFD 8.2% Reflect CPU - mnasnet Crop F.F.T json_loads 6.7% Rotate 90 Degrees BLAS 100 - 1000 - 24 CPU - shufflenet-v2 Default CPU Stress fatigue2 5.9% CoreMark Size 666 - I.P.S GoogleNet - CPU - 100 NUMA 5.6% Forking 5.4% Cartoon 8 5.3% CPU - blazeface Text Rendering 5.2% SqueezeNetV1.0 5.1% A.R.T Read While Writing auto-levels regex_compile Wavelet Contour - 1920 x 1080 Wavelet Contour - 1920 x 1080 Bosphorus 1080p - Ultra Fast 4.5% S.M.M Time To Compile 4.4% Wavelet Contour - 3840 x 2160 Wavelet Contour - 3840 x 2160 Fill Sync 4.3% 4.3% 4.3% pathlib 4.3% D.T.P 4.1% CPU - SqueezeNet v1.1 P.S.O - Bosphorus 1080p 3.9% P.P.B 3.9% D.L.M.F Inception V4 3.8% AlexNet - CPU - 100 Wavelet Volume - 1920 x 1080 Wavelet Volume - 1920 x 1080 Q.1.H.C 3.7% Wavelet Volume - 3840 x 2160 Wavelet Volume - 3840 x 2160 Material Tester 3840 x 2160 - High 3.6% SENDFILE 3.5% mdbx 3.4% channel2 3.4% Hot Read 3.3% D.I.S 3.2% 64 - 10000 - 2,5000,1 - 10000 Malloc V.Q.O - Bosphorus 1080p 3.1% Rand Read 3.1% 1024 - 10000 - 2,5000,1 - 10000 test_fpu2 3% Thorough crypto_pyaes 2.9% nbody 2.8% WAV To MP3 2.7% 2to3 Read Test 2.7% Composite Total Time 2.7% PBKDF2-whirlpool Time To Compile 2.6% Device AI Score 2.6% 1.8.b.Y.T.H.V.E 2.5% L.E.H 2.5% Q.1.L.H.C 2.5% Mobilenet Quant capacita D.B.d - f32 - CPU Write Test 2.2% Fast inception-v3 Timed Time - Size 1,000 19 2.1% Medium Q.1.L 2.1% Rhodopsin Protein 2.1% Enc Mode 4 - 1080p 2.1% Exhaustive Blowfish Quality 100 3 Stress-NG NCNN NCNN Polyhedron Fortran Benchmarks NCNN NCNN NCNN RealSR-NCNN NCNN NCNN PyPerformance NCNN RealSR-NCNN NCNN Waifu2x-NCNN Vulkan NCNN oneDNN NCNN NCNN oneDNN G'MIC Polyhedron Fortran Benchmarks Stress-NG Java 2D Microbenchmark Timed HMMer Search Mlpack Benchmark Timed FFmpeg Compilation GEGL librsvg Stress-NG Stress-NG GEGL LeelaChessZero PyPerformance GEGL NCNN GEGL GEGL PyPerformance TensorFlow Lite TNN Java Gradle Build Stress-NG GEGL NCNN GEGL LuaJIT PyPerformance GEGL LeelaChessZero Apache CouchDB NCNN WebP Image Encode Stress-NG Polyhedron Fortran Benchmarks Coremark Caffe Stress-NG Stress-NG GEGL SQLite NCNN Java 2D Microbenchmark Mobile Neural Network Java 2D Microbenchmark Facebook RocksDB GIMP PyPerformance ParaView ParaView Kvazaar LuaJIT Timed PHP Compilation ParaView ParaView LevelDB GNU Octave Benchmark VkFFT PyPerformance PostMark TNN SVT-VP9 LibRaw LuaJIT TensorFlow Lite Caffe ParaView ParaView WebP Image Encode ParaView ParaView Appleseed Xonotic Stress-NG Polyhedron Fortran Benchmarks Polyhedron Fortran Benchmarks Kripke LevelDB AI Benchmark Alpha InfluxDB Stress-NG SVT-VP9 LevelDB InfluxDB Polyhedron Fortran Benchmarks ASTC Encoder PyPerformance PyPerformance LAME MP3 Encoding PyPerformance IOR LuaJIT Stockfish Cryptsetup Timed MPlayer Compilation AI Benchmark Alpha SVT-HEVC CloverLeaf WebP Image Encode TensorFlow Lite Polyhedron Fortran Benchmarks oneDNN IOR ASTC Encoder Mobile Neural Network SQLite Speedtest Zstd Compression ASTC Encoder WebP Image Encode LAMMPS Molecular Dynamics Simulator SVT-AV1 ASTC Encoder John The Ripper WebP Image Encode Zstd Compression Pop OS 20.04 Pop OS 20.10
System76 Thelio Major 3990X Pop OS sqlite: 1 sqlite: 8 ior: Write Test ior: Read Test postmark: Disk Transaction Performance realsr-ncnn: 4x - No realsr-ncnn: 4x - Yes waifu2x-ncnn: 2x - 3 - Yes vkfft: etlegacy: Renderer2 - 3840 x 2160 tesseract: 1920 x 1080 tesseract: 3840 x 2160 xonotic: 3840 x 2160 - Low xonotic: 3840 x 2160 - High xonotic: 3840 x 2160 - Ultra xonotic: 3840 x 2160 - Ultimate glmark2: 1920 x 1080 glmark2: 3840 x 2160 paraview: Many Spheres - 1920 x 1080 paraview: Many Spheres - 1920 x 1080 paraview: Many Spheres - 3840 x 2160 paraview: Many Spheres - 3840 x 2160 paraview: Wavelet Volume - 1920 x 1080 paraview: Wavelet Volume - 1920 x 1080 paraview: Wavelet Volume - 3840 x 2160 paraview: Wavelet Volume - 3840 x 2160 paraview: Wavelet Contour - 1920 x 1080 paraview: Wavelet Contour - 1920 x 1080 paraview: Wavelet Contour - 3840 x 2160 paraview: Wavelet Contour - 3840 x 2160 j2dbench: Text Rendering j2dbench: Image Rendering j2dbench: All Rendering Tests j2dbench: Vector Graphics Rendering lczero: BLAS lczero: Eigen cloverleaf: Lagrangian-Eulerian Hydrodynamics namd: ATPase Simulation - 327,506 Atoms dolfyn: Computational Fluid Dynamics polyhedron: ac polyhedron: air polyhedron: mdbx polyhedron: doduc polyhedron: linpk polyhedron: tfft2 polyhedron: aermod polyhedron: rnflow polyhedron: induct2 polyhedron: protein polyhedron: capacita polyhedron: channel2 polyhedron: fatigue2 polyhedron: gas_dyn2 polyhedron: test_fpu2 polyhedron: mp_prop_design ffte: N=256, 3D Complex FFT Routine hmmer: Pfam Database Search mafft: Multiple Sequence Alignment - LSU RNA mocassin: Dust 2D tau100.0 lammps: 20k Atoms lammps: Rhodopsin Protein webp: Default webp: Quality 100 webp: Quality 100, Lossless webp: Quality 100, Highest Compression webp: Quality 100, Lossless, Highest Compression java-gradle-perf: Reactor byte: Dhrystone 2 compress-zstd: 3 compress-zstd: 19 luajit: Composite luajit: Monte Carlo luajit: Fast Fourier Transform luajit: Sparse Matrix Multiply luajit: Dense LU Matrix Factorization luajit: Jacobi Successive Over-Relaxation libraw: Post-Processing Benchmark john-the-ripper: Blowfish john-the-ripper: MD5 onednn: IP Batch 1D - f32 - CPU onednn: IP Batch All - f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch deconv_1d - f32 - CPU onednn: Deconvolution Batch deconv_3d - f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU ospray: San Miguel - SciVis ospray: XFrog Forest - SciVis ospray: San Miguel - Path Tracer ospray: NASA Streamlines - SciVis ospray: XFrog Forest - Path Tracer ospray: Magnetic Reconnection - SciVis ospray: NASA Streamlines - Path Tracer ospray: Magnetic Reconnection - Path Tracer kvazaar: Bosphorus 4K - Slow kvazaar: Bosphorus 4K - Medium kvazaar: Bosphorus 1080p - Slow kvazaar: Bosphorus 1080p - Medium kvazaar: Bosphorus 4K - Very Fast kvazaar: Bosphorus 4K - Ultra Fast kvazaar: Bosphorus 1080p - Very Fast kvazaar: Bosphorus 1080p - Ultra Fast svt-av1: Enc Mode 0 - 1080p svt-av1: Enc Mode 4 - 1080p svt-av1: Enc Mode 8 - 1080p svt-hevc: 1080p 8-bit YUV To HEVC Video Encode svt-vp9: VMAF Optimized - Bosphorus 1080p svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080p svt-vp9: Visual Quality Optimized - Bosphorus 1080p x265: Bosphorus 4K x265: Bosphorus 1080p oidn: Memorial openvkl: vklBenchmark coremark: CoreMark Size 666 - Iterations Per Second stockfish: Total Time build-apache: Time To Compile build-ffmpeg: Time To Compile build-gdb: Time To Compile build-linux-kernel: Time To Compile build-llvm: Time To Compile build-mplayer: Time To Compile build-php: Time To Compile rays1bench: Large Scene encode-flac: WAV To FLAC encode-mp3: WAV To MP3 espeak: Text-To-Speech Synthesis rnnoise: openssl: RSA 4096-bit Performance couchdb: 100 - 1000 - 24 cryptsetup: PBKDF2-sha512 cryptsetup: PBKDF2-whirlpool leveldb: Hot Read leveldb: Fill Sync leveldb: Fill Sync leveldb: Overwrite leveldb: Overwrite leveldb: Rand Fill leveldb: Rand Fill leveldb: Rand Read leveldb: Seek Rand leveldb: Rand Delete leveldb: Seq Fill leveldb: Seq Fill gromacs: Water Benchmark tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 astcenc: Fast astcenc: Medium astcenc: Thorough astcenc: Exhaustive sqlite-speedtest: Timed Time - Size 1,000 darktable: Boat - CPU-only darktable: Masskrug - CPU-only darktable: Server Rack - CPU-only darktable: Server Room - CPU-only gegl: Crop gegl: Scale gegl: Cartoon gegl: Reflect gegl: Antialias gegl: Tile Glass gegl: Wavelet Blur gegl: Color Enhance gegl: Rotate 90 Degrees gimp: resize gimp: rotate gimp: auto-levels gimp: unsharp-mask gmic: 2D Function Plotting, 1000 Times gmic: Plotting Isosurface Of A 3D Volume, 1000 Times gmic: 3D Elevated Function In Rand Colors, 100 Times hugin: Panorama Photo Assistant + Stitching Time ocrmypdf: Processing 60 Page PDF Document octave-benchmark: rawtherapee: Total Benchmark Time rsvg: SVG Files To PNG stress-ng: MMAP stress-ng: NUMA stress-ng: MEMFD stress-ng: Atomic stress-ng: Crypto stress-ng: Malloc stress-ng: Forking stress-ng: SENDFILE stress-ng: CPU Cache stress-ng: CPU Stress stress-ng: Semaphores stress-ng: Matrix Math stress-ng: Vector Math stress-ng: Memory Copying stress-ng: Socket Activity stress-ng: Context Switching stress-ng: Glibc C String Functions stress-ng: Glibc Qsort Data Sorting caffe: AlexNet - CPU - 100 caffe: GoogleNet - CPU - 100 gpaw: Carbon Nanotube mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 ncnn: CPU - squeezenet ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: Vulkan GPU - squeezenet ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - resnet50 tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 optcarrot: Optimized Benchmark rocksdb: Rand Fill rocksdb: Rand Read rocksdb: Seq Fill rocksdb: Rand Fill Sync rocksdb: Read While Writing blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only pybench: Total For Average Test Times pyperformance: go pyperformance: 2to3 pyperformance: chaos pyperformance: float pyperformance: nbody pyperformance: pathlib pyperformance: raytrace pyperformance: json_loads pyperformance: crypto_pyaes pyperformance: regex_compile pyperformance: python_startup pyperformance: django_template pyperformance: pickle_pure_python hint: FLOAT appleseed: Emily appleseed: Disney Material appleseed: Material Tester ai-benchmark: Device Inference Score ai-benchmark: Device Training Score ai-benchmark: Device AI Score selenium: ARES-6 - Firefox selenium: Kraken - Firefox selenium: Octane - Firefox selenium: WebXPRT - Firefox selenium: Basemark - Firefox selenium: Jetstream - Firefox selenium: CanvasMark - Firefox selenium: MotionMark - Firefox selenium: StyleBench - Firefox selenium: Jetstream 2 - Firefox selenium: Maze Solver - Firefox selenium: Speedometer - Firefox selenium: WASM imageConvolute - Firefox selenium: WASM collisionDetection - Firefox git: Time To Complete Common Git Commands mlpack: scikit_ica mlpack: scikit_qda mlpack: scikit_svm mlpack: scikit_linearridgeregression tesseract-ocr: Time To OCR 7 Images kripke: brl-cad: VGR Performance Metric influxdb: 4 - 10000 - 2,5000,1 - 10000 influxdb: 64 - 10000 - 2,5000,1 - 10000 influxdb: 1024 - 10000 - 2,5000,1 - 10000 cryptsetup: PBKDF2-sha512 cryptsetup: PBKDF2-whirlpool ocrmypdf: Processing 60 Page PDF Document Pop OS 20.04 Pop OS 20.10 33.092 114.997 316.52 1610.78 7654 16.512 114.444 9.101 20506 241.5 369.0690 311.5822 506.6888296 383.4692564 335.6182130 268.3078375 8575 2681 57.17 5732.054 55.26 5540.168 219.58 3513.251 160.97 2575.513 301.88 3145.937 164.19 1711.068 21836.339072177 8553596.5131508 7815320.9604010 7844283.9750621 1462 1403 0.40 0.42677 16.863 6.07 1.71 4.4 6.75 3.03 49.08 5.74 15.32 21.92 12.72 16.27 41.8 48.61 41.97 28.55 55.3 129515.00422893 165.035 8.806 223 26.908 23.845 1.481 2.289 16.295 7.138 33.500 264.231 43076608.7 7285.8 81.7 1541.47 506.84 254.69 1221.29 3668.79 2055.73 41.83 87910 5229667 1.26441 23.7781 2.12789 1.55097 2.07153 328.325 115.068 0.508544 67.46 13.76 5.70 90.91 7.32 43.48 20.41 333.33 15.83 16.06 60.85 62.42 34.88 60.73 139.66 243.71 0.128 9.696 96.300 208.29 374.64 394.07 326.72 26.25 58.19 27.01 461.15 2256436.977296 146463486 21.267 19.736 89.787 24.295 205.339 10.613 35.452 311.30 7.971 7.312 28.119 18.809 15077.3 119.187 1622356 705963 109.519 2.4 5953.960 22.8 621.251 22.7 623.726 109.997 171.029 597.960 23.9 591.612 3.767 50791.3 712026 77536.7 31423.5 33371.2 608725 4.62 5.33 9.72 37.6 64.268 5.496 2.974 0.092 2.136 8.843 6.604 94.521 31.591 41.076 32.965 64.725 58.097 39.918 8.525 12.757 15.825 19.140 222.556 19.379 84.886 46.739 15.228 7.009 50.510 29.149 199.60 1436.46 1328.98 493383.16 14517.03 1434398195.48 60628.84 939891.74 70.95 23480.92 10710303.23 225010.9 467815.75 8297.23 21460.21 28076290.95 7401405.60 847.40 55465 148113 109.746 8.258 33.549 5.375 5.457 31.854 25.27 28.32 13.39 13.90 14.40 13.45 17.66 5.88 26.39 53.45 17.87 12.17 38.42 36.30 5.82 9.98 4.60 8.47 3.48 4.66 11.55 1.25 8.51 84.36 3.34 29.85 15.04 9.65 285.921 252.180 131.33 444425 273146817 447514 23168 7599551 32.43 84.95 46.34 131.12 98.66 941 233 302 104 108 108 16.3 439 23.9 103 160 12.8 47.5 441 373293210.02252 133.244761 57.549236 150.800832 1933 1198 3131 44.14 829.8 34621 239 788.16 205.39 17638 139.04 70.0 91.741 5.4 85.1 28.0 376.9 48.365 51.92 42.54 20.87 1.59 24.973 44881177 784166 1145700.1 1512392.3 1557894.4 32.814 121.119 309.61 1568.55 7352 9.768 59.796 5.815 19661 238.5 364.0839 316.2526 511.4765461 370.2077220 333.1577205 265.3600874 8568 2704 227.81 3644.928 166.85 2669.658 315.63 3289.278 171.43 1786.504 20762.675129880 10164303.1574056 8213273.0093887 7902853.7222805 1555 1543 0.41 0.42787 16.727 5.96 1.43 4.55 6.74 3.06 18.75 5.81 15.24 21.87 12.63 15.89 43.22 51.47 41.5 29.4 54.64 128567.08880589 192.732 8.800 220 26.697 23.360 1.398 2.245 16.638 7.404 34.327 286.396 42730397.9 7428.5 80.0 1582.41 506.60 272.28 1275.80 3810.87 2046.50 40.25 89692 5244667 1.24053 23.5877 1.50837 1.53906 2.02358 327.633 112.926 0.409650 66.67 13.83 5.69 90.91 7.34 43.48 20.41 333.33 15.78 15.94 60.73 61.99 34.67 60.81 138.16 233.20 0.130 9.501 95.919 203.14 372.64 379.14 316.81 26.37 58.00 27.21 459.94 2389189.570302 142677414 21.442 17.224 88.898 24.582 204.832 10.890 37.023 311.55 7.919 7.512 28.470 18.458 15149.3 112.348 724508 113.168 2.3 6001.096 23.0 615.959 23.0 614.091 113.431 170.322 594.852 24.1 586.820 3.803 51197.9 739387 76836.3 31688.4 32579.6 662848 4.52 5.22 9.44 36.85 62.929 8.249 6.025 89.717 29.351 37.044 30.158 56.581 52.978 37.454 8.377 12.896 15.112 19.296 273.268 19.288 85.419 45.870 7.311 50.864 25.600 1136.58 1360.33 1228.26 494741.95 14639.19 1479267553.14 57529.80 908290.79 71.50 24863.25 9502361.99 225079.79 470369.86 8172.44 25587.37 24978427.86 7440489.42 850.31 53425 139913 110.542 8.681 33.449 5.450 5.473 31.185 25.31 27.88 13.19 13.66 13.59 12.53 17.37 5.59 26.56 53.65 17.77 12.04 37.72 35.83 4.28 7.25 2.33 3.30 2.07 2.43 11.39 1.14 4.56 19.52 1.94 6.48 10.12 5.19 263.776 242.386 129.80 442769 273895462 448857 22847 7979515 32.53 85.97 46.64 132.31 99.00 953 233 294 103 109 111 17.0 446 25.5 106 153 7.06 43.3 404 368160160.20334 135.136381 57.032712 145.512909 1873 1179 3052 43.34 828.5 34622 241 779.19 207.68 17817 137.11 69.8 92.647 5.4 84.1 27.8 377.0 47.930 45.11 42.93 21.02 1.61 24.507 46400823 785558 1150845.0 1560822.3 1605455.6 1722793 728876 12.644 OpenBenchmarking.org
SQLite This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.30.1 Threads / Copies: 1 Pop OS 20.04 Pop OS 20.10 8 16 24 32 40 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 33.09 32.81 1. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better SQLite 3.30.1 Threads / Copies: 8 Pop OS 20.04 Pop OS 20.10 30 60 90 120 150 SE +/- 0.34, N = 3 SE +/- 0.19, N = 3 115.00 121.12 1. (CC) gcc options: -O2 -lz -lm -ldl -lpthread
OpenBenchmarking.org MB/s, More Is Better IOR 3.2.1 Read Test Pop OS 20.04 Pop OS 20.10 300 600 900 1200 1500 SE +/- 24.01, N = 3 SE +/- 20.07, N = 3 1610.78 1568.55 MIN: 1389.69 / MAX: 1676.23 MIN: 1381.67 / MAX: 1657.33 1. (CC) gcc options: -O2 -lm -pthread -lmpi
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.org TPS, More Is Better PostMark 1.51 Disk Transaction Performance Pop OS 20.04 Pop OS 20.10 1600 3200 4800 6400 8000 SE +/- 79.00, N = 3 7654 7352 1. (CC) gcc options: -O3
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.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.059, N = 3 SE +/- 0.023, N = 3 16.512 9.768
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.org Seconds, Fewer Is Better Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: Yes Pop OS 20.04 Pop OS 20.10 3 6 9 12 15 SE +/- 0.010, N = 3 SE +/- 0.014, N = 3 9.101 5.815
ET: Legacy ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better ET: Legacy 2.75 Renderer: Renderer2 - Resolution: 3840 x 2160 Pop OS 20.04 Pop OS 20.10 50 100 150 200 250 SE +/- 3.22, N = 3 SE +/- 1.53, N = 3 241.5 238.5
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.org Frames Per Second, More Is Better Xonotic 0.8.2 Resolution: 3840 x 2160 - Effects Quality: Low Pop OS 20.04 Pop OS 20.10 110 220 330 440 550 SE +/- 1.68, N = 3 SE +/- 3.22, N = 3 506.69 511.48 MIN: 316 / MAX: 1048 MIN: 282 / MAX: 1100
OpenBenchmarking.org Frames Per Second, More Is Better Xonotic 0.8.2 Resolution: 3840 x 2160 - Effects Quality: High Pop OS 20.04 Pop OS 20.10 80 160 240 320 400 SE +/- 3.24, N = 3 SE +/- 1.03, N = 3 383.47 370.21 MIN: 235 / MAX: 737 MIN: 221 / MAX: 712
OpenBenchmarking.org Frames Per Second, More Is Better Xonotic 0.8.2 Resolution: 3840 x 2160 - Effects Quality: Ultra Pop OS 20.04 Pop OS 20.10 70 140 210 280 350 SE +/- 0.35, N = 3 SE +/- 2.52, N = 3 335.62 333.16 MIN: 192 / MAX: 628 MIN: 171 / MAX: 652
OpenBenchmarking.org Frames Per Second, More Is Better Xonotic 0.8.2 Resolution: 3840 x 2160 - Effects Quality: Ultimate Pop OS 20.04 Pop OS 20.10 60 120 180 240 300 SE +/- 1.88, N = 3 SE +/- 1.14, N = 3 268.31 265.36 MIN: 52 / MAX: 532 MIN: 48 / MAX: 508
OpenBenchmarking.org Frames / Sec, More Is Better ParaView 5.4.1 Test: Wavelet Volume - Resolution: 1920 x 1080 Pop OS 20.04 Pop OS 20.10 50 100 150 200 250 SE +/- 0.22, N = 3 SE +/- 1.90, N = 15 219.58 227.81
OpenBenchmarking.org MiVoxels / Sec, More Is Better ParaView 5.4.1 Test: Wavelet Volume - Resolution: 1920 x 1080 Pop OS 20.04 Pop OS 20.10 800 1600 2400 3200 4000 SE +/- 3.52, N = 3 SE +/- 30.37, N = 15 3513.25 3644.93
OpenBenchmarking.org Frames / Sec, More Is Better ParaView 5.4.1 Test: Wavelet Volume - Resolution: 3840 x 2160 Pop OS 20.04 Pop OS 20.10 40 80 120 160 200 SE +/- 2.66, N = 15 SE +/- 2.39, N = 3 160.97 166.85
OpenBenchmarking.org MiVoxels / Sec, More Is Better ParaView 5.4.1 Test: Wavelet Volume - Resolution: 3840 x 2160 Pop OS 20.04 Pop OS 20.10 600 1200 1800 2400 3000 SE +/- 42.59, N = 15 SE +/- 38.26, N = 3 2575.51 2669.66
OpenBenchmarking.org Frames / Sec, More Is Better ParaView 5.4.1 Test: Wavelet Contour - Resolution: 1920 x 1080 Pop OS 20.04 Pop OS 20.10 70 140 210 280 350 SE +/- 3.30, N = 7 SE +/- 1.46, N = 3 301.88 315.63
OpenBenchmarking.org MiPolys / Sec, More Is Better ParaView 5.4.1 Test: Wavelet Contour - Resolution: 1920 x 1080 Pop OS 20.04 Pop OS 20.10 700 1400 2100 2800 3500 SE +/- 34.36, N = 7 SE +/- 15.16, N = 3 3145.94 3289.28
OpenBenchmarking.org Frames / Sec, More Is Better ParaView 5.4.1 Test: Wavelet Contour - Resolution: 3840 x 2160 Pop OS 20.04 Pop OS 20.10 40 80 120 160 200 SE +/- 0.20, N = 3 SE +/- 0.84, N = 3 164.19 171.43
OpenBenchmarking.org MiPolys / Sec, More Is Better ParaView 5.4.1 Test: Wavelet Contour - Resolution: 3840 x 2160 Pop OS 20.04 Pop OS 20.10 400 800 1200 1600 2000 SE +/- 2.06, N = 3 SE +/- 8.76, N = 3 1711.07 1786.50
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Pop OS 20.04 Pop OS 20.10 300 600 900 1200 1500 SE +/- 7.88, N = 3 SE +/- 9.54, N = 3 1403 1543 1. (CXX) g++ options: -flto -pthread
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.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics Pop OS 20.04 Pop OS 20.10 0.0923 0.1846 0.2769 0.3692 0.4615 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.40 0.41 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Pop OS 20.04 Pop OS 20.10 0.0963 0.1926 0.2889 0.3852 0.4815 SE +/- 0.00043, N = 3 SE +/- 0.00111, N = 3 0.42677 0.42787
Dolfyn Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.15, N = 3 SE +/- 0.07, N = 3 16.86 16.73
FFTE FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine Pop OS 20.04 Pop OS 20.10 30K 60K 90K 120K 150K SE +/- 641.63, N = 3 SE +/- 1566.55, N = 5 129515.00 128567.09 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
Monte Carlo Simulations of Ionised Nebulae Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Pop OS 20.04 Pop OS 20.10 50 100 150 200 250 SE +/- 0.88, N = 3 SE +/- 0.67, N = 3 223 220 -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
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.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default Pop OS 20.04 Pop OS 20.10 0.3332 0.6664 0.9996 1.3328 1.666 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 1.481 1.398 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 Pop OS 20.04 Pop OS 20.10 0.515 1.03 1.545 2.06 2.575 SE +/- 0.007, N = 3 SE +/- 0.012, N = 3 2.289 2.245 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 16.30 16.64 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Pop OS 20.04 Pop OS 20.10 2 4 6 8 10 SE +/- 0.015, N = 3 SE +/- 0.011, N = 3 7.138 7.404 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Pop OS 20.04 Pop OS 20.10 8 16 24 32 40 SE +/- 0.22, N = 3 SE +/- 0.17, N = 3 33.50 34.33 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
LuaJIT This test profile is a collection of Lua scripts/benchmarks run against a locally-built copy of LuaJIT upstream. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Composite Pop OS 20.04 Pop OS 20.10 300 600 900 1200 1500 SE +/- 2.00, N = 3 SE +/- 2.02, N = 3 1541.47 1582.41 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Monte Carlo Pop OS 20.04 Pop OS 20.10 110 220 330 440 550 SE +/- 0.10, N = 3 SE +/- 0.43, N = 3 506.84 506.60 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Fast Fourier Transform Pop OS 20.04 Pop OS 20.10 60 120 180 240 300 SE +/- 23.04, N = 3 SE +/- 0.10, N = 3 254.69 272.28 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Sparse Matrix Multiply Pop OS 20.04 Pop OS 20.10 300 600 900 1200 1500 SE +/- 3.63, N = 3 SE +/- 4.60, N = 3 1221.29 1275.80 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Dense LU Matrix Factorization Pop OS 20.04 Pop OS 20.10 800 1600 2400 3200 4000 SE +/- 18.22, N = 3 SE +/- 9.34, N = 3 3668.79 3810.87 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.org Mflops, More Is Better LuaJIT 2.1-git Test: Jacobi Successive Over-Relaxation Pop OS 20.04 Pop OS 20.10 400 800 1200 1600 2000 SE +/- 3.21, N = 3 SE +/- 3.02, N = 3 2055.73 2046.50 1. (CC) gcc options: -lm -ldl -O2 -fomit-frame-pointer -U_FORTIFY_SOURCE -fno-stack-protector
OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 Pop OS 20.04 Pop OS 20.10 1.1M 2.2M 3.3M 4.4M 5.5M SE +/- 25828.49, N = 3 SE +/- 29475.04, N = 3 5229667 5244667 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
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.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU Pop OS 20.04 Pop OS 20.10 0.2845 0.569 0.8535 1.138 1.4225 SE +/- 0.01741, N = 4 SE +/- 0.00845, N = 3 1.26441 1.24053 MIN: 1.17 MIN: 1.15 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU Pop OS 20.04 Pop OS 20.10 6 12 18 24 30 SE +/- 0.30, N = 3 SE +/- 0.24, N = 3 23.78 23.59 MIN: 22.66 MIN: 22.59 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU Pop OS 20.04 Pop OS 20.10 0.4788 0.9576 1.4364 1.9152 2.394 SE +/- 0.02500, N = 6 SE +/- 0.02199, N = 3 2.12789 1.50837 MIN: 1.95 MIN: 1.39 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU Pop OS 20.04 Pop OS 20.10 0.349 0.698 1.047 1.396 1.745 SE +/- 0.01640, N = 8 SE +/- 0.01138, N = 3 1.55097 1.53906 MIN: 1.45 MIN: 1.46 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU Pop OS 20.04 Pop OS 20.10 0.4661 0.9322 1.3983 1.8644 2.3305 SE +/- 0.01201, N = 3 SE +/- 0.00102, N = 3 2.07153 2.02358 MIN: 1.93 MIN: 1.92 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU Pop OS 20.04 Pop OS 20.10 70 140 210 280 350 SE +/- 0.49, N = 3 SE +/- 1.05, N = 3 328.33 327.63 MIN: 324.39 MIN: 323.21 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU Pop OS 20.04 Pop OS 20.10 30 60 90 120 150 SE +/- 0.34, N = 3 SE +/- 0.36, N = 3 115.07 112.93 MIN: 112.93 MIN: 111.3 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU Pop OS 20.04 Pop OS 20.10 0.1144 0.2288 0.3432 0.4576 0.572 SE +/- 0.006670, N = 4 SE +/- 0.001131, N = 3 0.508544 0.409650 MIN: 0.46 MIN: 0.39 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OSPray Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis Pop OS 20.04 Pop OS 20.10 15 30 45 60 75 SE +/- 0.79, N = 6 SE +/- 0.00, N = 12 67.46 66.67 MIN: 62.5 / MAX: 76.92 MIN: 62.5 / MAX: 76.92
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 13.76 13.83 MIN: 13.51 / MAX: 14.08 MIN: 13.51 / MAX: 14.29
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer Pop OS 20.04 Pop OS 20.10 1.2825 2.565 3.8475 5.13 6.4125 SE +/- 0.01, N = 3 SE +/- 0.01, N = 4 5.70 5.69 MIN: 5.65 / MAX: 5.78 MIN: 5.65 / MAX: 5.78
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis Pop OS 20.04 Pop OS 20.10 20 40 60 80 100 SE +/- 0.00, N = 13 SE +/- 0.00, N = 13 90.91 90.91 MIN: 83.33 / MAX: 100 MIN: 83.33 / MAX: 100
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer Pop OS 20.04 Pop OS 20.10 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 7.32 7.34 MIN: 7.04 / MAX: 7.52 MIN: 7.04 / MAX: 7.52
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis Pop OS 20.04 Pop OS 20.10 10 20 30 40 50 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 43.48 43.48 MIN: 41.67 / MAX: 45.45 MIN: 41.67 / MAX: 45.45
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer Pop OS 20.04 Pop OS 20.10 5 10 15 20 25 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 20.41 20.41 MIN: 20 / MAX: 21.28 MIN: 20 / MAX: 21.28
OpenBenchmarking.org FPS, More Is Better OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer Pop OS 20.04 Pop OS 20.10 70 140 210 280 350 SE +/- 0.00, N = 12 SE +/- 0.00, N = 12 333.33 333.33 MIN: 250 / MAX: 500 MIN: 200 / MAX: 500
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.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 15.83 15.78 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 16.06 15.94 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow Pop OS 20.04 Pop OS 20.10 14 28 42 56 70 SE +/- 0.08, N = 3 SE +/- 0.14, N = 3 60.85 60.73 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Pop OS 20.04 Pop OS 20.10 14 28 42 56 70 SE +/- 0.12, N = 3 SE +/- 0.16, N = 3 62.42 61.99 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Pop OS 20.04 Pop OS 20.10 8 16 24 32 40 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 34.88 34.67 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Pop OS 20.04 Pop OS 20.10 14 28 42 56 70 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 60.73 60.81 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Pop OS 20.04 Pop OS 20.10 30 60 90 120 150 SE +/- 0.21, N = 3 SE +/- 0.25, N = 3 139.66 138.16 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Pop OS 20.04 Pop OS 20.10 50 100 150 200 250 SE +/- 3.51, N = 3 SE +/- 1.02, N = 3 243.71 233.20 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
SVT-AV1 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 0 - Input: 1080p Pop OS 20.04 Pop OS 20.10 0.0293 0.0586 0.0879 0.1172 0.1465 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.128 0.130 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Pop OS 20.04 Pop OS 20.10 3 6 9 12 15 SE +/- 0.022, N = 3 SE +/- 0.015, N = 3 9.696 9.501 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Pop OS 20.04 Pop OS 20.10 20 40 60 80 100 SE +/- 0.30, N = 3 SE +/- 0.49, N = 3 96.30 95.92 1. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
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.org Frames Per Second, More Is Better SVT-HEVC 1.4.1 1080p 8-bit YUV To HEVC Video Encode Pop OS 20.04 Pop OS 20.10 50 100 150 200 250 SE +/- 1.79, N = 3 SE +/- 0.16, N = 3 208.29 203.14 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-VP9 This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: VMAF Optimized - Input: Bosphorus 1080p Pop OS 20.04 Pop OS 20.10 80 160 240 320 400 SE +/- 4.81, N = 5 SE +/- 3.04, N = 3 374.64 372.64 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p Pop OS 20.04 Pop OS 20.10 90 180 270 360 450 SE +/- 2.19, N = 3 SE +/- 2.66, N = 3 394.07 379.14 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.1 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p Pop OS 20.04 Pop OS 20.10 70 140 210 280 350 SE +/- 2.60, N = 3 SE +/- 1.98, N = 3 326.72 316.81 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
x265 This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K Pop OS 20.04 Pop OS 20.10 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.17, N = 3 26.25 26.37 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 1080p Pop OS 20.04 Pop OS 20.10 13 26 39 52 65 SE +/- 0.21, N = 3 SE +/- 0.10, N = 3 58.19 58.00 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenVKL OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark Pop OS 20.04 Pop OS 20.10 100 200 300 400 500 SE +/- 1.89, N = 3 SE +/- 0.99, N = 3 461.15 459.94 MIN: 1 / MAX: 1298 MIN: 1 / MAX: 1272
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.org Nodes Per Second, More Is Better Stockfish 9 Total Time Pop OS 20.04 Pop OS 20.10 30M 60M 90M 120M 150M SE +/- 263429.87, N = 3 SE +/- 1603296.03, N = 7 146463486 142677414 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++11 -pedantic -O3 -msse -msse3 -mpopcnt -flto
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 Pop OS 20.04 Pop OS 20.10 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 18.81 18.46 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance Pop OS 20.04 Pop OS 20.10 3K 6K 9K 12K 15K SE +/- 116.95, N = 3 SE +/- 89.73, N = 3 15077.3 15149.3 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Apache CouchDB This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Pop OS 20.04 Pop OS 20.10 30 60 90 120 150 SE +/- 0.94, N = 3 SE +/- 0.06, N = 3 119.19 112.35 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.org Iterations Per Second, More Is Better Cryptsetup PBKDF2-whirlpool Pop OS 20.04 Pop OS 20.10 160K 320K 480K 640K 800K SE +/- 1928.95, N = 3 SE +/- 2723.47, N = 3 705963 724508
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.org Microseconds Per Op, Fewer Is Better LevelDB 1.22 Benchmark: Hot Read Pop OS 20.04 Pop OS 20.10 30 60 90 120 150 SE +/- 0.39, N = 3 SE +/- 0.18, N = 3 109.52 113.17 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org MB/s, More Is Better LevelDB 1.22 Benchmark: Fill Sync Pop OS 20.04 Pop OS 20.10 0.54 1.08 1.62 2.16 2.7 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 2.4 2.3 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org Microseconds Per Op, Fewer Is Better LevelDB 1.22 Benchmark: Fill Sync Pop OS 20.04 Pop OS 20.10 1300 2600 3900 5200 6500 SE +/- 15.69, N = 3 SE +/- 35.20, N = 3 5953.96 6001.10 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org MB/s, More Is Better LevelDB 1.22 Benchmark: Overwrite Pop OS 20.04 Pop OS 20.10 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 22.8 23.0 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org Microseconds Per Op, Fewer Is Better LevelDB 1.22 Benchmark: Overwrite Pop OS 20.04 Pop OS 20.10 130 260 390 520 650 SE +/- 0.23, N = 3 SE +/- 1.04, N = 3 621.25 615.96 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org MB/s, More Is Better LevelDB 1.22 Benchmark: Random Fill Pop OS 20.04 Pop OS 20.10 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 22.7 23.0 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org Microseconds Per Op, Fewer Is Better LevelDB 1.22 Benchmark: Random Fill Pop OS 20.04 Pop OS 20.10 130 260 390 520 650 SE +/- 1.02, N = 3 SE +/- 0.57, N = 3 623.73 614.09 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org Microseconds Per Op, Fewer Is Better LevelDB 1.22 Benchmark: Random Read Pop OS 20.04 Pop OS 20.10 30 60 90 120 150 SE +/- 0.20, N = 3 SE +/- 1.63, N = 4 110.00 113.43 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org Microseconds Per Op, Fewer Is Better LevelDB 1.22 Benchmark: Seek Random Pop OS 20.04 Pop OS 20.10 40 80 120 160 200 SE +/- 0.18, N = 3 SE +/- 1.08, N = 3 171.03 170.32 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org Microseconds Per Op, Fewer Is Better LevelDB 1.22 Benchmark: Random Delete Pop OS 20.04 Pop OS 20.10 130 260 390 520 650 SE +/- 0.60, N = 3 SE +/- 1.48, N = 3 597.96 594.85 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org MB/s, More Is Better LevelDB 1.22 Benchmark: Sequential Fill Pop OS 20.04 Pop OS 20.10 6 12 18 24 30 SE +/- 0.27, N = 3 SE +/- 0.37, N = 3 23.9 24.1 1. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.org Microseconds Per Op, Fewer Is Better LevelDB 1.22 Benchmark: Sequential Fill Pop OS 20.04 Pop OS 20.10 130 260 390 520 650 SE +/- 6.42, N = 3 SE +/- 8.60, N = 3 591.61 586.82 1. (CXX) g++ options: -O3 -lsnappy -lpthread
ASTC Encoder ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast Pop OS 20.04 Pop OS 20.10 1.0395 2.079 3.1185 4.158 5.1975 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 4.62 4.52 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium Pop OS 20.04 Pop OS 20.10 1.1993 2.3986 3.5979 4.7972 5.9965 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 5.33 5.22 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough Pop OS 20.04 Pop OS 20.10 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 9.72 9.44 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive Pop OS 20.04 Pop OS 20.10 9 18 27 36 45 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 37.60 36.85 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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.org Seconds, Fewer Is Better GEGL Operation: Crop Pop OS 20.04 Pop OS 20.10 2 4 6 8 10 SE +/- 0.043, N = 3 SE +/- 0.037, N = 3 8.843 8.249
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Scale Pop OS 20.04 Pop OS 20.10 2 4 6 8 10 SE +/- 0.019, N = 3 SE +/- 0.052, N = 3 6.604 6.025
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Cartoon Pop OS 20.04 Pop OS 20.10 20 40 60 80 100 SE +/- 0.33, N = 3 SE +/- 0.07, N = 3 94.52 89.72
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Reflect Pop OS 20.04 Pop OS 20.10 7 14 21 28 35 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 31.59 29.35
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Antialias Pop OS 20.04 Pop OS 20.10 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 41.08 37.04
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Tile Glass Pop OS 20.04 Pop OS 20.10 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 32.97 30.16
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Wavelet Blur Pop OS 20.04 Pop OS 20.10 14 28 42 56 70 SE +/- 0.24, N = 3 SE +/- 0.10, N = 3 64.73 56.58
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Color Enhance Pop OS 20.04 Pop OS 20.10 13 26 39 52 65 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 58.10 52.98
OpenBenchmarking.org Seconds, Fewer Is Better GEGL Operation: Rotate 90 Degrees Pop OS 20.04 Pop OS 20.10 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 39.92 37.45
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: Plotting Isosurface Of A 3D Volume, 1000 Times Pop OS 20.04 Pop OS 20.10 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 19.38 19.29 1. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.org Seconds, Fewer Is Better G'MIC Test: 3D Elevated Function In Random Colors, 100 Times Pop OS 20.04 Pop OS 20.10 20 40 60 80 100 SE +/- 0.33, N = 3 SE +/- 0.22, N = 3 84.89 85.42 1. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
Hugin Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Hugin Panorama Photo Assistant + Stitching Time Pop OS 20.04 Pop OS 20.10 11 22 33 44 55 SE +/- 0.31, N = 3 SE +/- 0.43, N = 3 46.74 45.87
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.org Seconds, Fewer Is Better librsvg Operation: SVG Files To PNG Pop OS 20.04 Pop OS 20.10 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 29.15 25.60 1. Pop OS 20.04: rsvg-convert version 2.48.7 2. Pop OS 20.10: rsvg-convert version 2.50.1
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: NUMA Pop OS 20.04 Pop OS 20.10 300 600 900 1200 1500 SE +/- 10.43, N = 3 SE +/- 11.10, N = 3 1436.46 1360.33 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: MEMFD Pop OS 20.04 Pop OS 20.10 300 600 900 1200 1500 SE +/- 1.43, N = 3 SE +/- 2.24, N = 3 1328.98 1228.26 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Atomic Pop OS 20.04 Pop OS 20.10 110K 220K 330K 440K 550K SE +/- 498.11, N = 3 SE +/- 396.66, N = 3 493383.16 494741.95 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Crypto Pop OS 20.04 Pop OS 20.10 3K 6K 9K 12K 15K SE +/- 52.82, N = 3 SE +/- 64.72, N = 3 14517.03 14639.19 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Malloc Pop OS 20.04 Pop OS 20.10 300M 600M 900M 1200M 1500M SE +/- 3294705.19, N = 3 SE +/- 4454743.33, N = 3 1434398195.48 1479267553.14 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Forking Pop OS 20.04 Pop OS 20.10 13K 26K 39K 52K 65K SE +/- 318.60, N = 3 SE +/- 554.14, N = 9 60628.84 57529.80 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: SENDFILE Pop OS 20.04 Pop OS 20.10 200K 400K 600K 800K 1000K SE +/- 4104.72, N = 3 SE +/- 4367.48, N = 3 939891.74 908290.79 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Cache Pop OS 20.04 Pop OS 20.10 16 32 48 64 80 SE +/- 1.68, N = 15 SE +/- 1.19, N = 15 70.95 71.50 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: CPU Stress Pop OS 20.04 Pop OS 20.10 5K 10K 15K 20K 25K SE +/- 126.54, N = 3 SE +/- 34.23, N = 3 23480.92 24863.25 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Semaphores Pop OS 20.04 Pop OS 20.10 2M 4M 6M 8M 10M SE +/- 10552.55, N = 3 SE +/- 73990.03, N = 3 10710303.23 9502361.99 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Matrix Math Pop OS 20.04 Pop OS 20.10 50K 100K 150K 200K 250K SE +/- 1325.79, N = 3 SE +/- 1622.53, N = 3 225010.90 225079.79 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Vector Math Pop OS 20.04 Pop OS 20.10 100K 200K 300K 400K 500K SE +/- 1685.65, N = 3 SE +/- 1816.21, N = 3 467815.75 470369.86 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Memory Copying Pop OS 20.04 Pop OS 20.10 2K 4K 6K 8K 10K SE +/- 43.47, N = 3 SE +/- 33.35, N = 3 8297.23 8172.44 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Socket Activity Pop OS 20.04 Pop OS 20.10 5K 10K 15K 20K 25K SE +/- 178.33, N = 3 SE +/- 41.65, N = 3 21460.21 25587.37 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Context Switching Pop OS 20.04 Pop OS 20.10 6M 12M 18M 24M 30M SE +/- 701783.94, N = 15 SE +/- 320062.66, N = 3 28076290.95 24978427.86 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Glibc C String Functions Pop OS 20.04 Pop OS 20.10 1.6M 3.2M 4.8M 6.4M 8M SE +/- 84078.05, N = 3 SE +/- 72240.19, N = 3 7401405.60 7440489.42 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.org Bogo Ops/s, More Is Better Stress-NG 0.11.07 Test: Glibc Qsort Data Sorting Pop OS 20.04 Pop OS 20.10 200 400 600 800 1000 SE +/- 7.33, N = 3 SE +/- 4.40, N = 3 847.40 850.31 1. (CC) gcc options: -O2 -std=gnu99 -lm -lcrypt -lrt -lz -ldl -lpthread -lc
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.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Pop OS 20.04 Pop OS 20.10 12K 24K 36K 48K 60K SE +/- 240.27, N = 3 SE +/- 96.78, N = 3 55465 53425 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Pop OS 20.04 Pop OS 20.10 30K 60K 90K 120K 150K SE +/- 128.26, N = 3 SE +/- 403.30, N = 3 148113 139913 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
GPAW GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube Pop OS 20.04 Pop OS 20.10 20 40 60 80 100 SE +/- 0.20, N = 3 SE +/- 0.19, N = 3 109.75 110.54 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Pop OS 20.04 Pop OS 20.10 2 4 6 8 10 SE +/- 0.095, N = 15 SE +/- 0.140, N = 15 8.258 8.681 MIN: 7.68 / MAX: 10.17 MIN: 7.65 / MAX: 11.24 1. (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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 Pop OS 20.04 Pop OS 20.10 8 16 24 32 40 SE +/- 0.19, N = 15 SE +/- 0.18, N = 15 33.55 33.45 MIN: 31.67 / MAX: 38.7 MIN: 30.99 / MAX: 37.54 1. (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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Pop OS 20.04 Pop OS 20.10 1.2263 2.4526 3.6789 4.9052 6.1315 SE +/- 0.011, N = 15 SE +/- 0.029, N = 15 5.375 5.450 MIN: 5.14 / MAX: 6.33 MIN: 4.99 / MAX: 6.16 1. (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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 Pop OS 20.04 Pop OS 20.10 1.2314 2.4628 3.6942 4.9256 6.157 SE +/- 0.022, N = 15 SE +/- 0.020, N = 15 5.457 5.473 MIN: 5.02 / MAX: 6.01 MIN: 4.9 / MAX: 8.51 1. (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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Pop OS 20.04 Pop OS 20.10 7 14 21 28 35 SE +/- 0.17, N = 15 SE +/- 0.20, N = 15 31.85 31.19 MIN: 30.35 / MAX: 35.69 MIN: 29.36 / MAX: 36.62 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
NCNN NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Pop OS 20.04 Pop OS 20.10 6 12 18 24 30 SE +/- 0.20, N = 3 SE +/- 0.13, N = 3 25.27 25.31 MIN: 24.36 / MAX: 42.7 MIN: 24.5 / MAX: 29.75 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet Pop OS 20.04 Pop OS 20.10 7 14 21 28 35 SE +/- 0.96, N = 3 SE +/- 0.17, N = 3 28.32 27.88 MIN: 25.72 / MAX: 47.5 MIN: 26.24 / MAX: 32.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 Pop OS 20.04 Pop OS 20.10 3 6 9 12 15 SE +/- 0.25, N = 3 SE +/- 0.14, N = 3 13.39 13.19 MIN: 12.05 / MAX: 28.62 MIN: 12.15 / MAX: 28.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.78, N = 3 SE +/- 0.61, N = 3 13.90 13.66 MIN: 12.8 / MAX: 29.43 MIN: 12.83 / MAX: 17.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.45, N = 3 SE +/- 0.32, N = 3 14.40 13.59 MIN: 13.1 / MAX: 33.21 MIN: 12.75 / MAX: 19.23 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Pop OS 20.04 Pop OS 20.10 3 6 9 12 15 SE +/- 0.76, N = 3 SE +/- 0.20, N = 3 13.45 12.53 MIN: 11.94 / MAX: 28.73 MIN: 11.97 / MAX: 14.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.55, N = 3 SE +/- 0.56, N = 3 17.66 17.37 MIN: 16.49 / MAX: 33.24 MIN: 16.21 / MAX: 21.36 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Pop OS 20.04 Pop OS 20.10 1.323 2.646 3.969 5.292 6.615 SE +/- 0.26, N = 3 SE +/- 0.12, N = 3 5.88 5.59 MIN: 5.3 / MAX: 20.98 MIN: 5.27 / MAX: 6.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet Pop OS 20.04 Pop OS 20.10 6 12 18 24 30 SE +/- 0.25, N = 3 SE +/- 0.29, N = 3 26.39 26.56 MIN: 25.5 / MAX: 42.77 MIN: 25.33 / MAX: 33.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Pop OS 20.04 Pop OS 20.10 12 24 36 48 60 SE +/- 0.94, N = 3 SE +/- 0.34, N = 3 53.45 53.65 MIN: 49.47 / MAX: 69.41 MIN: 50.43 / MAX: 99.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 17.87 17.77 MIN: 17.15 / MAX: 33.14 MIN: 16.88 / MAX: 37.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Pop OS 20.04 Pop OS 20.10 3 6 9 12 15 SE +/- 0.39, N = 3 SE +/- 0.22, N = 3 12.17 12.04 MIN: 11.18 / MAX: 28.74 MIN: 11.35 / MAX: 13.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 Pop OS 20.04 Pop OS 20.10 9 18 27 36 45 SE +/- 1.06, N = 3 SE +/- 0.98, N = 3 38.42 37.72 MIN: 35.21 / MAX: 58.99 MIN: 34.84 / MAX: 50.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny Pop OS 20.04 Pop OS 20.10 8 16 24 32 40 SE +/- 0.24, N = 3 SE +/- 0.32, N = 3 36.30 35.83 MIN: 35.04 / MAX: 56.23 MIN: 34.82 / MAX: 52.07 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet Pop OS 20.04 Pop OS 20.10 1.3095 2.619 3.9285 5.238 6.5475 SE +/- 0.05, N = 3 SE +/- 0.06, N = 4 5.82 4.28 MIN: 5.53 / MAX: 19.72 MIN: 3.98 / MAX: 12.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet Pop OS 20.04 Pop OS 20.10 3 6 9 12 15 SE +/- 0.16, N = 3 SE +/- 0.00, N = 4 9.98 7.25 MIN: 8.51 / MAX: 38.16 MIN: 7.17 / MAX: 9.66 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 Pop OS 20.04 Pop OS 20.10 1.035 2.07 3.105 4.14 5.175 SE +/- 0.01, N = 3 SE +/- 0.01, N = 4 4.60 2.33 MIN: 4.27 / MAX: 9.6 MIN: 2.27 / MAX: 2.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 Pop OS 20.04 Pop OS 20.10 2 4 6 8 10 SE +/- 0.24, N = 3 SE +/- 0.00, N = 4 8.47 3.30 MIN: 7.45 / MAX: 27.99 MIN: 3.24 / MAX: 3.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 Pop OS 20.04 Pop OS 20.10 0.783 1.566 2.349 3.132 3.915 SE +/- 0.00, N = 3 SE +/- 0.00, N = 4 3.48 2.07 MIN: 3.38 / MAX: 4.25 MIN: 2.03 / MAX: 2.39 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet Pop OS 20.04 Pop OS 20.10 1.0485 2.097 3.1455 4.194 5.2425 SE +/- 0.01, N = 3 SE +/- 0.01, N = 4 4.66 2.43 MIN: 4.41 / MAX: 5.4 MIN: 2.38 / MAX: 6.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 Pop OS 20.04 Pop OS 20.10 3 6 9 12 15 SE +/- 0.11, N = 3 SE +/- 0.28, N = 4 11.55 11.39 MIN: 10.46 / MAX: 34.72 MIN: 6.96 / MAX: 37.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface Pop OS 20.04 Pop OS 20.10 0.2813 0.5626 0.8439 1.1252 1.4065 SE +/- 0.04, N = 3 SE +/- 0.01, N = 4 1.25 1.14 MIN: 1.1 / MAX: 15.98 MIN: 1.01 / MAX: 5.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet Pop OS 20.04 Pop OS 20.10 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.02, N = 4 8.51 4.56 MIN: 7.13 / MAX: 29.75 MIN: 4.5 / MAX: 11.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 Pop OS 20.04 Pop OS 20.10 20 40 60 80 100 SE +/- 0.04, N = 3 SE +/- 0.21, N = 4 84.36 19.52 MIN: 67.87 / MAX: 109.54 MIN: 13.93 / MAX: 45.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 Pop OS 20.04 Pop OS 20.10 0.7515 1.503 2.2545 3.006 3.7575 SE +/- 0.01, N = 3 SE +/- 0.02, N = 4 3.34 1.94 MIN: 3.22 / MAX: 5.29 MIN: 1.87 / MAX: 8.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet Pop OS 20.04 Pop OS 20.10 7 14 21 28 35 SE +/- 0.24, N = 3 SE +/- 0.23, N = 4 29.85 6.48 MIN: 25.42 / MAX: 55.99 MIN: 5.18 / MAX: 33.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny Pop OS 20.04 Pop OS 20.10 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.04, N = 4 15.04 10.12 MIN: 12.6 / MAX: 42.1 MIN: 9.51 / MAX: 33.51 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 Pop OS 20.04 Pop OS 20.10 3 6 9 12 15 SE +/- 0.09, N = 2 SE +/- 0.01, N = 4 9.65 5.19 MIN: 9.05 / MAX: 31.86 MIN: 5.13 / MAX: 7.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 Pop OS 20.04 Pop OS 20.10 60 120 180 240 300 SE +/- 3.39, N = 3 SE +/- 0.33, N = 3 285.92 263.78 MIN: 272.2 / MAX: 310.86 MIN: 253.36 / MAX: 295.53 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 Pop OS 20.04 Pop OS 20.10 60 120 180 240 300 SE +/- 0.59, N = 3 SE +/- 0.04, N = 3 252.18 242.39 MIN: 249.83 / MAX: 254.13 MIN: 241.15 / MAX: 244.95 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Optcarrot Optcarrot is an NES emulator benchmark for the Ruby language. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better Optcarrot Optimized Benchmark Pop OS 20.04 Pop OS 20.10 30 60 90 120 150 SE +/- 0.25, N = 4 SE +/- 0.45, N = 4 131.33 129.80 1. Pop OS 20.04: ruby 2.7.0p0 (2019-12-25 revision 647ee6f091) [x86_64-linux-gnu] 2. Pop OS 20.10: ruby 2.7.1p83 (2020-03-31 revision a0c7c23c9c) [x86_64-linux-gnu]
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.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill Pop OS 20.04 Pop OS 20.10 100K 200K 300K 400K 500K SE +/- 342.03, N = 3 SE +/- 636.43, N = 3 444425 442769 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Read Pop OS 20.04 Pop OS 20.10 60M 120M 180M 240M 300M SE +/- 2702673.93, N = 9 SE +/- 3099756.42, N = 7 273146817 273895462 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Sequential Fill Pop OS 20.04 Pop OS 20.10 100K 200K 300K 400K 500K SE +/- 211.81, N = 3 SE +/- 705.24, N = 3 447514 448857 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Random Fill Sync Pop OS 20.04 Pop OS 20.10 5K 10K 15K 20K 25K SE +/- 2.65, N = 3 SE +/- 26.77, N = 3 23168 22847 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 6.3.6 Test: Read While Writing Pop OS 20.04 Pop OS 20.10 2M 4M 6M 8M 10M SE +/- 31345.48, N = 3 SE +/- 73738.48, N = 3 7599551 7979515 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Classroom - Compute: CPU-Only Pop OS 20.04 Pop OS 20.10 20 40 60 80 100 SE +/- 0.44, N = 3 SE +/- 0.60, N = 3 84.95 85.97
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only Pop OS 20.04 Pop OS 20.10 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 46.34 46.64
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Barbershop - Compute: CPU-Only Pop OS 20.04 Pop OS 20.10 30 60 90 120 150 SE +/- 0.27, N = 3 SE +/- 0.20, N = 3 131.12 132.31
OpenBenchmarking.org Seconds, Fewer Is Better Blender 2.90 Blend File: Pabellon Barcelona - Compute: CPU-Only Pop OS 20.04 Pop OS 20.10 20 40 60 80 100 SE +/- 0.23, N = 3 SE +/- 0.44, N = 3 98.66 99.00
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times Pop OS 20.04 Pop OS 20.10 200 400 600 800 1000 SE +/- 2.40, N = 3 SE +/- 1.45, N = 3 941 953