Ubuntu 20.10 Devel

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA GeForce GTX 1080 Ti 11GB on EndeavourOS rolling via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010034-FI-2010023FI99
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 2 Tests
Bioinformatics 2 Tests
Chess Test Suite 2 Tests
Timed Code Compilation 2 Tests
C/C++ Compiler Tests 13 Tests
CPU Massive 25 Tests
Creator Workloads 18 Tests
Cryptography 2 Tests
Database Test Suite 3 Tests
Encoding 3 Tests
Fortran Tests 4 Tests
Game Development 5 Tests
HPC - High Performance Computing 20 Tests
Imaging 7 Tests
Java 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 9 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 3 Tests
Multi-Core 17 Tests
NVIDIA GPU Compute 5 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 4 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 8 Tests
Python 2 Tests
Renderers 2 Tests
Scientific Computing 10 Tests
Server 6 Tests
Server CPU Tests 18 Tests
Single-Threaded 7 Tests
Texture Compression 2 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Ubuntu 20.10 20200929
September 29 2020
  11 Hours, 55 Minutes
Fedora Workstation 33 Beta
September 30 2020
  9 Hours, 25 Minutes
Clear Linux 33780
October 01 2020
  11 Hours, 34 Minutes
openSUSE Tumbleweed
October 01 2020
  9 Hours, 3 Minutes
Endeavour OS
October 02 2020
  13 Hours, 13 Minutes
Invert Hiding All Results Option
  11 Hours, 2 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


Ubuntu 20.10 DevelProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OSIntel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads)ASRock X299 Steel Legend (P1.30 BIOS)Intel Sky Lake-E DMI3 Registers32GBSamsung SSD 970 PRO 512GBNVIDIA NV132 11GBRealtek ALC1220ASUS MG28UIntel I219-V + Intel I211Ubuntu 20.105.8.0-19-generic (x86_64)GNOME Shell 3.38.0X Server 1.20.8nouveau 1.0.164.3 Mesa 20.1.8GCC 10.2.0ext43840x2160Fedora 335.8.12-300.fc33.x86_64 (x86_64)X Server + Wayland4.3 Mesa 20.2.0GCC 10.2.1 20200826 + Clang 11.0.0btrfsSamsung SSD 970 PRO 512GB + 31GB UDiskClear Linux OS 337805.7.13-975.native (x86_64)X Server 1.20.8nouveau 1.0.164.3 Mesa 20.2.0-develGCC 10.2.1 20200928 releases/gcc-10.2.0-302-ga6c47f4ce2 + Clang 10.0.1 + LLVM 10.0.1ext4openSUSE Tumbleweed 202009295.8.10-1-default (x86_64)KDE Plasma 5.19.5X Server 1.20.94.3 Mesa 20.1.8GCC 10.2.1 20200825 [revision c0746a1beb1ba073c7981eb09f55b3d993b32e5c]btrfsNVIDIA GeForce GTX 1080 Ti 11GBEndeavourOS rolling5.8.13-arch1-1 (x86_64)Xfce 4.14modesetting 1.20.9GCC 10.2.0ext4OpenBenchmarking.orgCompiler Details- Ubuntu 20.10 20200929: --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-rn7uax/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-rn7uax/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 - Fedora Workstation 33 Beta: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver - Clear Linux 33780: --build=x86_64-generic-linux --disable-libmpx --disable-libunwind-exceptions --disable-multiarch --disable-vtable-verify --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-clocale=gnu --enable-default-pie --enable-gnu-indirect-function --enable-languages=c,c++,fortran,go --enable-ld=default --enable-libstdcxx-pch --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --exec-prefix=/usr --includedir=/usr/include --target=x86_64-generic-linux --with-arch=westmere --with-gcc-major-version-only --with-glibc-version=2.19 --with-gnu-ld --with-isl --with-ppl=yes --with-tune=haswell - openSUSE Tumbleweed: --build=x86_64-suse-linux --disable-libcc1 --disable-libssp --disable-libstdcxx-pch --disable-libvtv --disable-werror --enable-cet=auto --enable-checking=release --enable-gnu-indirect-function --enable-languages=c,c++,objc,fortran,obj-c++,ada,go,d --enable-libphobos --enable-libstdcxx-allocator=new --enable-link-mutex --enable-linux-futex --enable-multilib --enable-offload-targets=nvptx-none=/usr/nvptx-none,amdgcn-amdhsa=/usr/amdgcn-amdhsa, --enable-plugin --enable-ssp --enable-version-specific-runtime-libs --host=x86_64-suse-linux --mandir=/usr/share/man --with-arch-32=x86-64 --with-build-config=bootstrap-lto-lean --with-gcc-major-version-only --with-slibdir=/lib64 --with-tune=generic --without-cuda-driver --without-system-libunwind - Endeavour OS: --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnu Processor Details- Ubuntu 20.10 20200929: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01- Fedora Workstation 33 Beta: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01- Clear Linux 33780: Scaling Governor: intel_pstate performance - CPU Microcode: 0x500012c- openSUSE Tumbleweed: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x5002f01- Endeavour OS: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x5002f01Java Details- Ubuntu 20.10 20200929: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu1)- Fedora Workstation 33 Beta: OpenJDK Runtime Environment 18.9 (build 11.0.9-ea+6)- Clear Linux 33780: OpenJDK Runtime Environment (build 1.8.0-u252-ga-b00)- openSUSE Tumbleweed: OpenJDK Runtime Environment (build 11.0.8+10-suse-1.3-x8664)- Endeavour OS: OpenJDK Runtime Environment (build 11.0.8+10)Python Details- Ubuntu 20.10 20200929: Python 3.8.6- Fedora Workstation 33 Beta: Python 3.9.0rc2- Clear Linux 33780: Python 3.8.6- openSUSE Tumbleweed: Python 2.7.18 + Python 3.8.5- Endeavour OS: Python 3.8.5Security Details- Ubuntu 20.10 20200929: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled- Fedora Workstation 33 Beta: SELinux + itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled- Clear Linux 33780: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled- openSUSE Tumbleweed: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled- Endeavour OS: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabledEnvironment Details- Clear Linux 33780: FFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,--enable-new-dtags -Wa,-mbranches-within-32B-boundaries" CXXFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -Wa,-mbranches-within-32B-boundaries -fvisibility-inlines-hidden -Wl,--enable-new-dtags" MESA_GLSL_CACHE_DISABLE=0 FCFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,-sort-common -Wl,--enable-new-dtags" CFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=32 -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -Wa,-mbranches-within-32B-boundaries" THEANO_FLAGS="floatX=float32,openmp=true,gcc.cxxflags="-ftree-vectorize -mavx""

Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OSResult OverviewPhoronix Test Suite100%113%126%139%CP2K Molecular DynamicsDaCapo BenchmarkPHPBenchPyPerformanceTimed HMMer Searchlibavif avifencPyBenchTimed PHP CompilationTimed Linux Kernel CompilationDeepSpeechMobile Neural NetworkSVT-AV1SQLite SpeedtestBasis UniversalFFTEIntel Open Image DenoiseCoremarkoneDNNLevelDBWebP Image EncodeSVT-VP9GitTNNHimeno BenchmarkCraftyasmFishNCNNBRL-CADAppleseedKripkeASTC EncoderOpenVKLlibjpeg-turbo tjbenchBlenderZstd CompressionDolfynOpenSSLHierarchical INTegrationTensorFlow LiteNAMDCrypto++

Ubuntu 20.10 Develdacapobench: Tradebeanspyperformance: python_startuponednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUdacapobench: H2amg: gimp: resizecaffe: GoogleNet - CPU - 200dacapobench: Tradesoapnode-express-loadtest: caffe: AlexNet - CPU - 200pyperformance: nbodyavifenc: 10cp2k: Fayalite-FIST Dataavifenc: 8onednn: Recurrent Neural Network Inference - f32 - CPUgimp: rotateplaidml: No - Inference - DenseNet 201 - CPUphpbench: PHP Benchmark Suitepyperformance: raytracegimp: auto-levelsplaidml: No - Inference - Inception V3 - CPUhmmer: Pfam Database Searchpyperformance: chaosplaidml: No - Inference - Mobilenet - CPUgimp: unsharp-masklammps: 20k Atomspyperformance: django_templatepyperformance: crypto_pyaespyperformance: pickle_pure_pythonpybench: Total For Average Test Timespyperformance: floatai-benchmark: Device Training Scorebasis: ETC1Sgegl: Wavelet Blurbasis: UASTC Level 2 + RDO Post-Processingbuild-php: Time To Compileai-benchmark: Device AI Scorepyperformance: gopyperformance: regex_compiledacapobench: Jythonai-benchmark: Device Inference Scoreonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUmnn: inception-v3build-linux-kernel: Time To Compiledeepspeech: CPUpyperformance: 2to3onednn: Recurrent Neural Network Training - f32 - CPUsvt-av1: Enc Mode 8 - 1080pplaidml: No - Inference - ResNet 50 - CPUplaidml: No - Inference - VGG19 - CPUpyperformance: pathlibbasis: UASTC Level 0svt-av1: Enc Mode 4 - 1080ppyperformance: json_loadssqlite-speedtest: Timed Time - Size 1,000rocksdb: Seq Fillwebp: Quality 100, Lossless, Highest Compressionmnn: SqueezeNetV1.0onednn: IP Batch 1D - u8s8f32 - CPUrocksdb: Rand Fillffte: N=256, 3D Complex FFT Routineoidn: Memorialleveldb: Hot Readcoremark: CoreMark Size 666 - Iterations Per Secondwebp: Quality 100, Losslessplaidml: No - Inference - VGG16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUdarktable: Masskrug - CPU-onlyncnn: CPU - googlenetleveldb: Rand Readgegl: Rotate 90 Degreesonednn: Deconvolution Batch deconv_3d - f32 - CPUgegl: Color Enhancencnn: CPU - blazefacesvt-vp9: Visual Quality Optimized - Bosphorus 1080pbasis: UASTC Level 2darktable: Server Room - CPU-onlyncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2avifenc: 2ncnn: CPU - alexnetrocksdb: Read While Writingappleseed: Emilybasis: UASTC Level 3avifenc: 0leveldb: Seek Randncnn: CPU - squeezenetonednn: IP Batch All - u8s8f32 - CPUgegl: Antialiasrawtherapee: Total Benchmark Timegegl: Tile Glassncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pncnn: CPU - efficientnet-b0git: Time To Complete Common Git Commandsncnn: CPU - mobilenetastcenc: Mediumastcenc: Fasthpcg: himeno: Poisson Pressure Solvercrafty: Elapsed Timeasmfish: 1024 Hash Memory, 26 Depthwebp: Quality 100, Highest Compressionbrl-cad: VGR Performance Metricdarktable: Server Rack - CPU-onlyonednn: Deconvolution Batch deconv_1d - bf16bf16bf16 - CPUncnn: CPU - resnet50rocksdb: Rand Readonednn: IP Batch All - f32 - CPUonednn: IP Batch 1D - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUgromacs: Water Benchmarkkripke: onednn: Convolution Batch Shapes Auto - u8s8f32 - CPUopenvkl: vklBenchmarkonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - vgg16compress-zstd: 19blender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyastcenc: Thoroughplaidml: No - Inference - IMDB LSTM - CPUdarktable: Boat - CPU-onlytjbench: Decompression Throughputblender: Fishy Cat - CPU-Onlyappleseed: Disney Materialtnn: CPU - SqueezeNet v1.1appleseed: Material Testerncnn: CPU-v3-v3 - mobilenet-v3onednn: IP Batch 1D - bf16bf16bf16 - CPUonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUcompress-zstd: 3blender: BMW27 - CPU-Onlytensorflow-lite: NASNet Mobiletensorflow-lite: SqueezeNetonednn: Deconvolution Batch deconv_3d - bf16bf16bf16 - CPUblender: Classroom - CPU-Onlyastcenc: Exhaustivedolfyn: Computational Fluid Dynamicsopenssl: RSA 4096-bit Performancetensorflow-lite: Mobilenet Floatonednn: IP Batch All - bf16bf16bf16 - CPUhint: FLOATtensorflow-lite: Mobilenet Quantnamd: ATPase Simulation - 327,506 Atomstensorflow-lite: Inception V4tensorflow-lite: Inception ResNet V2cryptopp: Keyed Algorithmsmnn: mobilenet-v1-1.0ncnn: CPU - resnet18mnn: MobileNetV2_224mnn: resnet-v2-50java-gradle-perf: Reactorlammps: Rhodopsin ProteinUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS747512.10.733232459531092.2823054234696885868071075.076751.985.26173.58492.657830843896.62145.54588.713.229.50238.588.634991493.7154845.96755.016652.15349.1543478205135385719300.73948636.73049.459115.53150278190.42242.5665.5622.3114.67.0625.20522.055.499156786337.6558.6540.597088143379952659.20669741122.1927.366687280.77143416.96126.461.589323.27214.0627.55137.7672.8924652.0482.12254.1120.8652.67924.86297.19742.99110.934219105227.09758436.43672.05634.14714.177.6822935.32449.75928.7185.075.25312.257.1548.63217.167.015.097.385383994.3735249040556532347676.6332075150.1289.1480221.799924411332.70012.320481.782641.575347071539.44985268.6710.009591.7675641.2660.3311.57389.4917.93787.518.353216.386139127.11121.510816281.025126.6231065.581130.4632728.018574886.693.5211810012795610.9180283.47141.1218.4765191.987493.163.8664455254464.9737090286.20.9771918572071642340709.20418412.015.14945.242253.5438.19378549.770.369421427631431.118.01319130635986228876021265.905711.8556.08353.735512.09877569545813.367134.16110517.07911.73944.9104398105610654.64155.076801.56145.97522915340190.68462334.85746.718112.12810292168.74947.04315.17.6645.66422.560.351180298438.1588.5530.533189163657948693.66660985225.1330.617643394.64375017.1971.446573.27714.2030.97137.5952.6410850.4442.14251.9822.5722.68925.71286.64142.07110.763970179228.99093939.02770.89035.86414.057.1772534.93250.66927.8285.115.34308.517.1147.23617.476.955.067.814044005.4285189501807529413346.6072058460.1308.9580421.5310165231532.00792.223591.742211.522344756709.31276274.819.808001.7515940.1560.2313.83392.3017.768.463216.437167128.06122.403929279.359126.465145.595280.4662568.029114863.493.4911744112830210.9146284.29141.3818.3885175.688258.663.8644454854722.6281390878.00.9826818630171650010711.24424511.325.19541.533275.4089.32028197.180.381054339256200.256.460140366289298595614594.03.836725.8833.97348.14949.7863.7397450838011.3936.73108.92787.613.9014.19812.49038.388.434685490.2155343.43744.878665.17939.7343585198134325420320.60710529.99143.237108.69367255156.33750.8716.2824.8513.76.4696.11221.952.673166436132.7487.4290.516754150911548688.74947123025.1628.009728013.37859415.20629.791.502102.90513.6127.62935.5042.6049846.5052.18268.7820.2272.76323.18276.89638.9049.923831517219.45105936.76465.58433.98413.167.0597433.86051.01827.3445.145.32321.457.1945.23916.436.865.057.846184250.7133379359149561651136.2662113560.1259.2209021.1310153596131.22292.212861.705511.595344797539.17499280.119.629941.7137240.8862.2303.52380.5117.65770.738.220217.101844124.78119.318381275.723124.7586835.492180.4605957.990684909.491.7311672412909910.8534280.87140.7618.2805212.087810.963.9696455035663.3041790284.40.9783718610301646353712.20229611.324.41634.274208.72711.87614.90.370271445211.7061454.058853.7884.15848.207714.8203.5567337753615.9696.34141.86311713.3518.73949.9114446108111445.32856.268642.50545.47324616638450.60308832.66745.251116.51155311159.34947.0216.0824.3716.36.6645.82225.761.81037.8248.0440.51324945877.80041825225.0227.030666366.94135217.02829.761.460123.25713.9627.46539.9542.5803051.9182.28255.9820.7202.97824.00288.60940.88710.06222.76797335.47769.52032.79514.207.0049336.90154.07529.6685.505.44309.817.3546.56716.296.684.884023.5953009598327544610516.5601998740.1328.8279322.2931.37612.210721.69896344342809.05209270.179.808821.701576.0341.6660.0303.07379.8617.45795.388.351217.649185124.62120.837293282.458124.7497055.355.476010.4563417.954114959.592.2311613712796710.7797280.85139.8518.2945175.987430.363.6425458498603.1345690079.20.9759618541701641410710.6218807.04311.884.99340.2581046611.80.361283648830051.88465488191065.3871091.0415.53552.67152.487988423994.85117.49189.510.4312.39139.789.436292094.8123045.407647.71549.4932880210136402616500.67259235.94052.936132.68202274165.66041.8695.2520.8414.77.0895.67524.155.394183960837.6798.4630.514107166426948846.05513694625.0330.260679890.78473317.03926.351.4068615.3530.8322.612352.37240.7920.62724.06306.99342.08310.934160256241.43526536.07870.26236.01114.447.346955.155.68297.687.6747.68616.767.125.207.866664014.1734449136074534247506.6162063729.3213222.1010446944032.78402.226561.701671.575360388509.29121278.949.827611.706546.2641.4860.2311.50389.8818.01780.12211.586812127.38122.209306280.968127.655965.475.482370.4586947.861894960.192.9211609512706710.8816282.21141.3918.4575159.987417.064.2503454224548.7734890081.20.9827618513571640133708.6511307.70111.655.18642.758251.38711.920OpenBenchmarking.org

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS2K4K6K8K10KSE +/- 100.02, N = 4SE +/- 97.67, N = 4SE +/- 14.92, N = 4SE +/- 55.38, N = 474757854281910466
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS2K4K6K8K10KMin: 7254 / Avg: 7475 / Max: 7719Min: 7674 / Avg: 7854.25 / Max: 8055Min: 2791 / Avg: 2819 / Max: 2857Min: 10316 / Avg: 10466.25 / Max: 10583

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_startupUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.23, N = 12SE +/- 0.12, N = 312.109.777.1814.9011.80
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620Min: 12 / Avg: 12.13 / Max: 12.2Min: 9.64 / Avg: 9.77 / Max: 9.84Min: 7.17 / Avg: 7.18 / Max: 7.2Min: 12.9 / Avg: 14.87 / Max: 15.7Min: 11.6 / Avg: 11.77 / Max: 12

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: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.1650.330.4950.660.825SE +/- 0.009743, N = 12SE +/- 0.001747, N = 3SE +/- 0.004133, N = 3SE +/- 0.003270, N = 3SE +/- 0.003782, N = 30.7332320.3694210.3810540.3702710.361283MIN: 0.61-O2 - MIN: 0.34MIN: 0.36MIN: 0.35MIN: 0.341. (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: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 0.64 / Avg: 0.73 / Max: 0.77Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.38 / Avg: 0.38 / Max: 0.39Min: 0.36 / Avg: 0.37 / Max: 0.38Min: 0.36 / Avg: 0.36 / Max: 0.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS14002800420056007000SE +/- 54.09, N = 5SE +/- 43.70, N = 4SE +/- 13.92, N = 4SE +/- 22.54, N = 4SE +/- 20.59, N = 445954276339244526488
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS11002200330044005500Min: 4429 / Avg: 4595.2 / Max: 4763Min: 4218 / Avg: 4276 / Max: 4404Min: 3368 / Avg: 3391.75 / Max: 3424Min: 4425 / Avg: 4451.5 / Max: 4519Min: 6437 / Avg: 6487.5 / Max: 6536

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS12K24K36K48K60KSE +/- 4.04, N = 3SE +/- 17.97, N = 3SE +/- 14.87, N = 3SE +/- 12.21, N = 331092.2831431.1156200.2530051.88-O31. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS10K20K30K40K50KMin: 31084.53 / Avg: 31092.28 / Max: 31098.11Min: 31396.47 / Avg: 31431.11 / Max: 31456.71Min: 56184.71 / Avg: 56200.25 / Max: 56229.98Min: 30028.74 / Avg: 30051.88 / Max: 30070.21. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

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 2.10.20Test: resizeFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215SE +/- 0.047, N = 3SE +/- 0.042, N = 3SE +/- 0.042, N = 38.0136.46011.706
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.20Test: resizeFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 7.93 / Avg: 8.01 / Max: 8.09Min: 6.41 / Avg: 6.46 / Max: 6.55Min: 11.64 / Avg: 11.71 / Max: 11.78

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: 200Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378050K100K150K200K250KSE +/- 106.25, N = 3SE +/- 509.79, N = 3SE +/- 137.72, N = 3230542191306140366-O3 -lsz -lz -ldl -lm-O2 -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lhdf5_cpp -lhdf5 -lhdf5_hl_cpp -lhdf5_hl-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lhdf5_cpp -lhdf5 -lz -ldl -lm -lhdf5_hl_cpp -lhdf5_hl1. (CXX) g++ options: -fPIC -rdynamic -lglog -lgflags -lprotobuf -lpthread -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378040K80K120K160K200KMin: 230360 / Avg: 230542.33 / Max: 230728Min: 190578 / Avg: 191305.67 / Max: 192288Min: 140130 / Avg: 140366.33 / Max: 1406071. (CXX) g++ options: -fPIC -rdynamic -lglog -lgflags -lprotobuf -lpthread -llmdb -lopenblas

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS10002000300040005000SE +/- 30.86, N = 4SE +/- 21.24, N = 4SE +/- 25.26, N = 4SE +/- 56.59, N = 43469359828924654
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS8001600240032004000Min: 3400 / Avg: 3468.75 / Max: 3535Min: 3537 / Avg: 3598 / Max: 3628Min: 2829 / Avg: 2891.75 / Max: 2941Min: 4529 / Avg: 4653.75 / Max: 4800

Node.js Express HTTP Load Test

A Node.js Express server with a Node-based loadtest client for facilitating HTTP benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS2K4K6K8K10KSE +/- 11.79, N = 3SE +/- 4.91, N = 3SE +/- 12.29, N = 3SE +/- 35.04, N = 368856228985988191. Ubuntu 20.10 20200929: Nodejs v12.18.22. Fedora Workstation 33 Beta: Nodejs3. Clear Linux 33780: Nodejs4. Endeavour OS: Nodejs
OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS2K4K6K8K10KMin: 6869 / Avg: 6885 / Max: 6908Min: 6222 / Avg: 6228.33 / Max: 6238Min: 9836 / Avg: 9859 / Max: 9878Min: 8781 / Avg: 8819 / Max: 88891. Ubuntu 20.10 20200929: Nodejs v12.18.22. Fedora Workstation 33 Beta: Nodejs3. Clear Linux 33780: Nodejs4. Endeavour OS: Nodejs

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: 200Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378020K40K60K80K100KSE +/- 47.95, N = 3SE +/- 463.52, N = 3SE +/- 23.71, N = 3868078760256145-O3 -lsz -lz -ldl -lm-O2 -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lhdf5_cpp -lhdf5 -lhdf5_hl_cpp -lhdf5_hl-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lhdf5_cpp -lhdf5 -lz -ldl -lm -lhdf5_hl_cpp -lhdf5_hl1. (CXX) g++ options: -fPIC -rdynamic -lglog -lgflags -lprotobuf -lpthread -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 3378015K30K45K60K75KMin: 86712 / Avg: 86807.33 / Max: 86864Min: 86852 / Avg: 87602.33 / Max: 88449Min: 56103 / Avg: 56145.33 / Max: 561851. (CXX) g++ options: -fPIC -rdynamic -lglog -lgflags -lprotobuf -lpthread -llmdb -lopenblas

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: nbodyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150SE +/- 0.06, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3107.0126.094.0145.0106.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150Min: 93.9 / Avg: 94 / Max: 94.1Min: 144 / Avg: 144.67 / Max: 146Min: 105 / Avg: 105.67 / Max: 107

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1.32862.65723.98585.31446.643SE +/- 0.024, N = 3SE +/- 0.011, N = 3SE +/- 0.012, N = 3SE +/- 0.007, N = 3SE +/- 0.012, N = 35.0765.9053.8364.0585.3871. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 5.04 / Avg: 5.08 / Max: 5.12Min: 5.88 / Avg: 5.91 / Max: 5.92Min: 3.81 / Avg: 3.84 / Max: 3.85Min: 4.05 / Avg: 4.06 / Max: 4.07Min: 5.37 / Avg: 5.39 / Max: 5.411. (CXX) g++ options: -O3 -fPIC

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. This test profile currently makes use of the OpenMP implementation and using the Fayalite-FIST molecular dynamics run and measures the total time to complete. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 6.1Fayalite-FIST DataUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS2004006008001000751.98711.86725.88853.791091.04

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.014, N = 3SE +/- 0.017, N = 3SE +/- 0.026, N = 3SE +/- 0.022, N = 3SE +/- 0.040, N = 35.2616.0833.9734.1585.5351. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 5.24 / Avg: 5.26 / Max: 5.29Min: 6.05 / Avg: 6.08 / Max: 6.11Min: 3.93 / Avg: 3.97 / Max: 4.02Min: 4.13 / Avg: 4.16 / Max: 4.2Min: 5.47 / Avg: 5.54 / Max: 5.611. (CXX) g++ options: -O3 -fPIC

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1632486480SE +/- 0.57, N = 3SE +/- 0.37, N = 3SE +/- 0.04, N = 3SE +/- 0.55, N = 3SE +/- 0.37, N = 373.5853.7448.1548.2152.67MIN: 71.21-O2 - MIN: 51.31MIN: 46.52MIN: 45.8MIN: 50.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1428425670Min: 72.73 / Avg: 73.58 / Max: 74.67Min: 53.09 / Avg: 53.74 / Max: 54.37Min: 48.07 / Avg: 48.15 / Max: 48.2Min: 47.2 / Avg: 48.21 / Max: 49.09Min: 51.95 / Avg: 52.67 / Max: 53.161. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 2.10.20Test: rotateFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.029, N = 3SE +/- 0.003, N = 3SE +/- 0.020, N = 312.0989.78614.820
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.20Test: rotateFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620Min: 12.05 / Avg: 12.1 / Max: 12.15Min: 9.78 / Avg: 9.79 / Max: 9.79Min: 14.79 / Avg: 14.82 / Max: 14.86

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS0.83931.67862.51793.35724.1965SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.653.733.552.48
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 2.64 / Avg: 2.65 / Max: 2.65Min: 3.7 / Avg: 3.73 / Max: 3.76Min: 3.54 / Avg: 3.55 / Max: 3.56Min: 2.47 / Avg: 2.48 / Max: 2.5

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS200K400K600K800K1000KSE +/- 1520.41, N = 3SE +/- 582.41, N = 3SE +/- 8801.15, N = 3SE +/- 4500.90, N = 3SE +/- 375.07, N = 3783084775695974508673377798842
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS200K400K600K800K1000KMin: 781408 / Avg: 783083.67 / Max: 786119Min: 774995 / Avg: 775694.67 / Max: 776851Min: 956914 / Avg: 974508.33 / Max: 983764Min: 664384 / Avg: 673376.67 / Max: 678224Min: 798437 / Avg: 798841.67 / Max: 799591

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: raytraceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS120240360480600SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3389458380536399
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS90180270360450Min: 389 / Avg: 389.33 / Max: 390Min: 536 / Avg: 536.33 / Max: 537Min: 398 / Avg: 399 / Max: 400

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 2.10.20Test: auto-levelsFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 313.3711.3915.97
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.20Test: auto-levelsFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed48121620Min: 13.31 / Avg: 13.37 / Max: 13.43Min: 11.33 / Avg: 11.39 / Max: 11.43Min: 15.9 / Avg: 15.97 / Max: 16.02

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.626.736.344.85
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 6.6 / Avg: 6.62 / Max: 6.64Min: 6.71 / Avg: 6.73 / Max: 6.76Min: 6.33 / Avg: 6.34 / Max: 6.36Min: 4.81 / Avg: 4.85 / Max: 4.89

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 SearchUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150SE +/- 0.18, N = 3SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 3145.55134.16108.93141.86117.49-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150Min: 145.21 / Avg: 145.54 / Max: 145.84Min: 133.87 / Avg: 134.16 / Max: 134.51Min: 108.9 / Avg: 108.93 / Max: 108.96Min: 141.42 / Avg: 141.86 / Max: 142.38Min: 117.28 / Avg: 117.49 / Max: 117.621. (CC) gcc options: -O3 -pthread -lhmmer -leasel -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: chaosUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 388.7105.087.6117.089.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20406080100Min: 88.6 / Avg: 88.7 / Max: 88.8Min: 87.5 / Avg: 87.6 / Max: 87.7Min: 89.3 / Avg: 89.5 / Max: 89.8

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS48121620SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 313.2213.9013.3510.43
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS48121620Min: 13.12 / Avg: 13.22 / Max: 13.34Min: 13.75 / Avg: 13.9 / Max: 14Min: 13.22 / Avg: 13.35 / Max: 13.51Min: 10.35 / Avg: 10.43 / Max: 10.49

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 2.10.20Test: unsharp-maskFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 317.0814.2018.74
OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.20Test: unsharp-maskFedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed510152025Min: 17.07 / Avg: 17.08 / Max: 17.1Min: 14.15 / Avg: 14.2 / Max: 14.22Min: 18.53 / Avg: 18.74 / Max: 18.91

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS3691215SE +/- 0.045, N = 3SE +/- 0.055, N = 3SE +/- 0.011, N = 3SE +/- 0.008, N = 39.50211.73912.49012.391-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake-O31. (CXX) g++ options: -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS48121620Min: 9.42 / Avg: 9.5 / Max: 9.57Min: 11.65 / Avg: 11.74 / Max: 11.84Min: 12.48 / Avg: 12.49 / Max: 12.51Min: 12.38 / Avg: 12.39 / Max: 12.41. (CXX) g++ options: -pthread -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: django_templateUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1122334455SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 338.544.938.349.939.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1020304050Min: 38.5 / Avg: 38.53 / Max: 38.6Min: 44.8 / Avg: 44.9 / Max: 45Min: 38.3 / Avg: 38.33 / Max: 38.4Min: 49.9 / Avg: 49.93 / Max: 50Min: 39.5 / Avg: 39.7 / Max: 39.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 388.6104.088.4114.089.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20406080100Min: 88.5 / Avg: 88.6 / Max: 88.7Min: 88.4 / Avg: 88.43 / Max: 88.5Min: 89.3 / Avg: 89.4 / Max: 89.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS100200300400500SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3SE +/- 1.33, N = 3349398346446362
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS80160240320400Min: 349 / Avg: 349.33 / Max: 350Min: 398 / Avg: 398.33 / Max: 399Min: 444 / Avg: 446 / Max: 447Min: 359 / Avg: 361.67 / Max: 363

PyBench

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS2004006008001000SE +/- 1.00, N = 3SE +/- 1.53, N = 3SE +/- 1.67, N = 391410568541081920
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS2004006008001000Min: 913 / Avg: 914 / Max: 916Min: 851 / Avg: 854 / Max: 856Min: 918 / Avg: 919.67 / Max: 923

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: floatUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 393.7106.090.2114.094.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20406080100Min: 93.6 / Avg: 93.67 / Max: 93.8Min: 90.2 / Avg: 90.23 / Max: 90.3Min: 94.6 / Avg: 94.83 / Max: 95.1

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreUbuntu 20.10 20200929Clear Linux 33780Endeavour OS30060090012001500154815531230

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1224364860SE +/- 0.42, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.66, N = 3SE +/- 0.21, N = 345.9754.6443.4445.3345.41-O3-O2-O3-O3-O31. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1122334455Min: 45.22 / Avg: 45.97 / Max: 46.67Min: 54.46 / Avg: 54.64 / Max: 54.97Min: 43.37 / Avg: 43.44 / Max: 43.5Min: 44.06 / Avg: 45.33 / Max: 46.25Min: 45.11 / Avg: 45.41 / Max: 45.821. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -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: Wavelet BlurUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1326395265SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 355.0255.0844.8856.27
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1122334455Min: 54.7 / Avg: 55.02 / Max: 55.37Min: 54.9 / Avg: 55.08 / Max: 55.29Min: 44.78 / Avg: 44.88 / Max: 44.96Min: 56.24 / Avg: 56.27 / Max: 56.3

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS2004006008001000SE +/- 0.19, N = 3SE +/- 0.29, N = 3SE +/- 1.11, N = 3SE +/- 0.28, N = 3SE +/- 0.17, N = 3652.15801.56665.18642.51647.72-O3-O2-O3-O3-O31. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS140280420560700Min: 651.78 / Avg: 652.15 / Max: 652.4Min: 801 / Avg: 801.56 / Max: 801.92Min: 662.98 / Avg: 665.18 / Max: 666.54Min: 642.19 / Avg: 642.51 / Max: 643.07Min: 647.39 / Avg: 647.72 / Max: 647.931. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread

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 CompileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1122334455SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 349.1545.9839.7345.4749.49
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1020304050Min: 48.9 / Avg: 49.15 / Max: 49.44Min: 45.89 / Avg: 45.98 / Max: 46.15Min: 39.63 / Avg: 39.73 / Max: 39.79Min: 45.33 / Avg: 45.47 / Max: 45.68Min: 49.26 / Avg: 49.49 / Max: 49.63

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 ScoreUbuntu 20.10 20200929Clear Linux 33780Endeavour OS8001600240032004000347835852880

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: goUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS50100150200250SE +/- 0.33, N = 3SE +/- 1.67, N = 3205229198246210
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS4080120160200Min: 246 / Avg: 246.33 / Max: 247Min: 208 / Avg: 209.67 / Max: 213

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS4080120160200135153134166136

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS9001800270036004500SE +/- 24.35, N = 4SE +/- 23.83, N = 4SE +/- 9.25, N = 4SE +/- 14.70, N = 4SE +/- 13.65, N = 438574019325438454026
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS7001400210028003500Min: 3821 / Avg: 3857.25 / Max: 3928Min: 3970 / Avg: 4018.5 / Max: 4067Min: 3239 / Avg: 3254.25 / Max: 3281Min: 3805 / Avg: 3844.5 / Max: 3874Min: 3985 / Avg: 4025.5 / Max: 4044

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 ScoreUbuntu 20.10 20200929Clear Linux 33780Endeavour OS400800120016002000193020321650

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: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.16640.33280.49920.66560.832SE +/- 0.007689, N = 3SE +/- 0.007849, N = 15SE +/- 0.000320, N = 3SE +/- 0.000671, N = 3SE +/- 0.007585, N = 70.7394860.6846230.6071050.6030880.672592MIN: 0.7-O2 - MIN: 0.62MIN: 0.6MIN: 0.59MIN: 0.631. (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: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 0.73 / Avg: 0.74 / Max: 0.75Min: 0.65 / Avg: 0.68 / Max: 0.75Min: 0.61 / Avg: 0.61 / Max: 0.61Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.64 / Avg: 0.67 / Max: 0.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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-v3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS816243240SE +/- 0.17, N = 9SE +/- 0.15, N = 3SE +/- 0.21, N = 15SE +/- 0.39, N = 3SE +/- 0.44, N = 1236.7334.8629.9932.6735.94MIN: 33.59 / MAX: 45.4MIN: 32.13 / MAX: 36.98-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 27.78 / MAX: 31.53MIN: 31.87 / MAX: 33.64MIN: 33.87 / MAX: 38.31. (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-v3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS816243240Min: 35.72 / Avg: 36.73 / Max: 37.61Min: 34.61 / Avg: 34.86 / Max: 35.14Min: 28.33 / Avg: 29.99 / Max: 31.15Min: 32.04 / Avg: 32.67 / Max: 33.37Min: 34.21 / Avg: 35.94 / Max: 37.771. (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

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1224364860SE +/- 0.85, N = 3SE +/- 0.67, N = 3SE +/- 0.60, N = 3SE +/- 0.64, N = 4SE +/- 0.73, N = 449.4646.7243.2445.2552.94
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1122334455Min: 48.36 / Avg: 49.46 / Max: 51.13Min: 45.99 / Avg: 46.72 / Max: 48.06Min: 42.41 / Avg: 43.24 / Max: 44.4Min: 44.46 / Avg: 45.25 / Max: 47.17Min: 52.1 / Avg: 52.94 / Max: 55.14

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3115.53112.13108.69116.51132.68
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20406080100Min: 115.39 / Avg: 115.53 / Max: 115.74Min: 112.01 / Avg: 112.13 / Max: 112.36Min: 108.57 / Avg: 108.69 / Max: 108.76Min: 116.3 / Avg: 116.51 / Max: 116.64Min: 132.46 / Avg: 132.68 / Max: 133.07

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: 2to3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS70140210280350SE +/- 0.33, N = 3278292255311274
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS60120180240300Min: 273 / Avg: 273.67 / Max: 274

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS4080120160200SE +/- 0.83, N = 3SE +/- 0.21, N = 3SE +/- 0.49, N = 3SE +/- 1.85, N = 3SE +/- 0.11, N = 3190.42168.75156.34159.35165.66MIN: 187.05-O2 - MIN: 166.69MIN: 154.1MIN: 155.5MIN: 164.251. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150Min: 189.19 / Avg: 190.42 / Max: 192Min: 168.35 / Avg: 168.75 / Max: 169.05Min: 155.45 / Avg: 156.34 / Max: 157.14Min: 156.51 / Avg: 159.35 / Max: 162.82Min: 165.48 / Avg: 165.66 / Max: 165.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1122334455SE +/- 0.27, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.30, N = 342.5747.0450.8747.0241.871. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1020304050Min: 42.07 / Avg: 42.57 / Max: 43.01Min: 46.93 / Avg: 47.04 / Max: 47.2Min: 50.47 / Avg: 50.87 / Max: 51.11Min: 46.77 / Avg: 47.02 / Max: 47.32Min: 41.28 / Avg: 41.87 / Max: 42.191. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.566.286.085.25
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 5.53 / Avg: 5.56 / Max: 5.62Min: 6.27 / Avg: 6.28 / Max: 6.31Min: 6.05 / Avg: 6.08 / Max: 6.1Min: 5.22 / Avg: 5.25 / Max: 5.29

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS612182430SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.08, N = 3SE +/- 0.27, N = 522.3124.8524.3720.84
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS612182430Min: 22.13 / Avg: 22.31 / Max: 22.41Min: 24.49 / Avg: 24.85 / Max: 25.29Min: 24.25 / Avg: 24.37 / Max: 24.52Min: 20.32 / Avg: 20.84 / Max: 21.56

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: pathlibUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 314.615.113.716.314.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620Min: 14.5 / Avg: 14.57 / Max: 14.6Min: 15.1 / Avg: 15.1 / Max: 15.1Min: 13.6 / Avg: 13.67 / Max: 13.7Min: 16.3 / Avg: 16.33 / Max: 16.4Min: 14.6 / Avg: 14.67 / Max: 14.7

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.036, N = 3SE +/- 0.043, N = 37.0627.6646.4696.6647.089-O3-O2-O3-O3-O31. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 7.06 / Avg: 7.06 / Max: 7.07Min: 7.66 / Avg: 7.66 / Max: 7.67Min: 6.45 / Avg: 6.47 / Max: 6.48Min: 6.62 / Avg: 6.66 / Max: 6.73Min: 7.01 / Avg: 7.09 / Max: 7.151. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.043, N = 3SE +/- 0.051, N = 3SE +/- 0.005, N = 3SE +/- 0.037, N = 3SE +/- 0.023, N = 35.2055.6646.1125.8225.6751. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 5.13 / Avg: 5.2 / Max: 5.28Min: 5.6 / Avg: 5.66 / Max: 5.77Min: 6.1 / Avg: 6.11 / Max: 6.12Min: 5.75 / Avg: 5.82 / Max: 5.87Min: 5.63 / Avg: 5.68 / Max: 5.711. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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_loadsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS612182430SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 322.022.521.925.724.1
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS612182430Min: 21.9 / Avg: 22.03 / Max: 22.2Min: 22.5 / Avg: 22.5 / Max: 22.5Min: 21.8 / Avg: 21.93 / Max: 22.1Min: 25.6 / Avg: 25.67 / Max: 25.7Min: 23.9 / Avg: 24.07 / Max: 24.3

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 1,000Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1428425670SE +/- 0.00, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.54, N = 3SE +/- 0.32, N = 355.5060.3552.6761.8155.39-O2-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake-O2-O21. (CC) gcc options: -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1224364860Min: 55.5 / Avg: 55.5 / Max: 55.5Min: 60.03 / Avg: 60.35 / Max: 60.75Min: 52.44 / Avg: 52.67 / Max: 52.81Min: 60.88 / Avg: 61.81 / Max: 62.73Min: 55.01 / Avg: 55.39 / Max: 56.031. (CC) gcc options: -ldl -lz -lpthread

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: Sequential FillUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS400K800K1200K1600K2000KSE +/- 7849.59, N = 3SE +/- 20906.40, N = 3SE +/- 10674.35, N = 3SE +/- 17806.25, N = 31567863180298416643611839608-O21. (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: Sequential FillUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS300K600K900K1200K1500KMin: 1556058 / Avg: 1567862.67 / Max: 1582728Min: 1764671 / Avg: 1802983.67 / Max: 1836643Min: 1644581 / Avg: 1664361.33 / Max: 1681207Min: 1811152 / Avg: 1839608 / Max: 18723801. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -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, Lossless, Highest CompressionUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS918273645SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 337.6638.1632.7537.8237.68-O2 -ltiff-O2 -ltiff-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -ltiff-O2-O21. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS816243240Min: 37.63 / Avg: 37.66 / Max: 37.69Min: 37.94 / Avg: 38.16 / Max: 38.27Min: 32.67 / Avg: 32.75 / Max: 32.84Min: 37.62 / Avg: 37.82 / Max: 37.95Min: 37.61 / Avg: 37.68 / Max: 37.781. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.085, N = 9SE +/- 0.074, N = 3SE +/- 0.074, N = 15SE +/- 0.025, N = 3SE +/- 0.143, N = 128.6548.5537.4298.0448.463MIN: 7.84 / MAX: 9.73MIN: 8.07 / MAX: 9.2-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 6.58 / MAX: 8.09MIN: 7.7 / MAX: 8.8MIN: 7.1 / MAX: 9.41. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 8.19 / Avg: 8.65 / Max: 8.95Min: 8.45 / Avg: 8.55 / Max: 8.7Min: 6.94 / Avg: 7.43 / Max: 7.84Min: 8 / Avg: 8.04 / Max: 8.08Min: 7.3 / Avg: 8.46 / Max: 91. (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

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.13430.26860.40290.53720.6715SE +/- 0.005982, N = 3SE +/- 0.007438, N = 3SE +/- 0.000503, N = 3SE +/- 0.000391, N = 3SE +/- 0.000127, N = 30.5970880.5331890.5167540.5132490.514107MIN: 0.56-O2 - MIN: 0.49MIN: 0.5MIN: 0.5MIN: 0.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 0.59 / Avg: 0.6 / Max: 0.61Min: 0.53 / Avg: 0.53 / Max: 0.55Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.51 / Avg: 0.51 / Max: 0.51Min: 0.51 / Avg: 0.51 / Max: 0.511. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: Random FillUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS400K800K1200K1600K2000KSE +/- 16959.02, N = 6SE +/- 6254.49, N = 3SE +/- 3895.19, N = 3SE +/- 9525.38, N = 31433799163657915091151664269-O21. (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: Random FillUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS300K600K900K1200K1500KMin: 1401384 / Avg: 1433799.17 / Max: 1503051Min: 1625885 / Avg: 1636578.67 / Max: 1647546Min: 1501325 / Avg: 1509115 / Max: 1513076Min: 1650594 / Avg: 1664268.67 / Max: 16825931. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

FFTE

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

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS11K22K33K44K55KSE +/- 185.91, N = 3SE +/- 141.79, N = 3SE +/- 331.24, N = 3SE +/- 753.53, N = 3SE +/- 39.19, N = 352659.2148693.6748688.7545877.8048846.061. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS9K18K27K36K45KMin: 52311.83 / Avg: 52659.21 / Max: 52947.72Min: 48507.16 / Avg: 48693.67 / Max: 48971.92Min: 48315.39 / Avg: 48688.75 / Max: 49349.36Min: 44571.64 / Avg: 45877.8 / Max: 47181.95Min: 48772.91 / Avg: 48846.06 / Max: 48907.011. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS612182430SE +/- 0.21, N = 14SE +/- 0.34, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 322.1925.1325.1625.0225.03
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS612182430Min: 20.06 / Avg: 22.19 / Max: 23.2Min: 24.44 / Avg: 25.13 / Max: 25.52Min: 25.04 / Avg: 25.16 / Max: 25.29Min: 24.73 / Avg: 25.02 / Max: 25.33Min: 24.92 / Avg: 25.03 / Max: 25.09

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 ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS714212835SE +/- 0.05, N = 3SE +/- 0.38, N = 12SE +/- 0.26, N = 10SE +/- 0.23, N = 3SE +/- 0.42, N = 1227.3730.6228.0127.0330.26-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsqlite3-O3-O31. (CXX) g++ options: -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS714212835Min: 27.26 / Avg: 27.37 / Max: 27.43Min: 26.46 / Avg: 30.62 / Max: 31.43Min: 27.5 / Avg: 28.01 / Max: 30.19Min: 26.7 / Avg: 27.03 / Max: 27.49Min: 25.76 / Avg: 30.26 / Max: 31.171. (CXX) g++ options: -lsnappy -lpthread

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS160K320K480K640K800KSE +/- 2918.93, N = 3SE +/- 656.29, N = 3SE +/- 4785.64, N = 3SE +/- 1709.93, N = 3SE +/- 3498.91, N = 3687280.77643394.64728013.38666366.94679890.78-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS130K260K390K520K650KMin: 683479.42 / Avg: 687280.77 / Max: 693018.48Min: 642130.92 / Avg: 643394.64 / Max: 644333.74Min: 722190.64 / Avg: 728013.38 / Max: 737503.41Min: 663451.79 / Avg: 666366.94 / Max: 669373.08Min: 672897.2 / Avg: 679890.78 / Max: 683598.391. (CC) gcc options: -O2 -lrt" -lrt

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, LosslessUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 316.9617.2015.2117.0317.04-O2 -ltiff-O2 -ltiff-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -ltiff-O2-O21. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620Min: 16.94 / Avg: 16.96 / Max: 16.99Min: 17.08 / Avg: 17.2 / Max: 17.26Min: 15.12 / Avg: 15.21 / Max: 15.26Min: 16.97 / Avg: 17.03 / Max: 17.14Min: 16.99 / Avg: 17.04 / Max: 17.071. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS714212835SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.21, N = 3SE +/- 0.15, N = 326.4629.7929.7626.35
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS714212835Min: 26.39 / Avg: 26.46 / Max: 26.58Min: 29.49 / Avg: 29.79 / Max: 30.08Min: 29.34 / Avg: 29.76 / Max: 29.97Min: 26.05 / Avg: 26.35 / Max: 26.52

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: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.35760.71521.07281.43041.788SE +/- 0.00344, N = 3SE +/- 0.00837, N = 3SE +/- 0.01165, N = 3SE +/- 0.00293, N = 3SE +/- 0.00566, N = 31.589321.446571.502101.460121.40686MIN: 1.53-O2 - MIN: 1.36MIN: 1.42MIN: 1.39MIN: 1.361. (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: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 1.59 / Avg: 1.59 / Max: 1.6Min: 1.43 / Avg: 1.45 / Max: 1.46Min: 1.49 / Avg: 1.5 / Max: 1.52Min: 1.45 / Avg: 1.46 / Max: 1.47Min: 1.4 / Avg: 1.41 / Max: 1.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.73731.47462.21192.94923.6865SE +/- 0.013, N = 3SE +/- 0.005, N = 3SE +/- 0.000, N = 3SE +/- 0.018, N = 33.2723.2772.9053.257
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Masskrug - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 3.25 / Avg: 3.27 / Max: 3.3Min: 3.27 / Avg: 3.28 / Max: 3.29Min: 2.9 / Avg: 2.9 / Max: 2.91Min: 3.24 / Avg: 3.26 / Max: 3.29

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: googlenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620SE +/- 0.45, N = 3SE +/- 0.35, N = 5SE +/- 0.04, N = 3SE +/- 0.35, N = 5SE +/- 0.09, N = 314.0614.2013.6113.9615.35-O3 - MIN: 13.52 / MAX: 15.76-O2 - MIN: 13.26 / MAX: 40.26-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 13.49 / MAX: 20.39-O3 - MIN: 13.36 / MAX: 16.65-O3 - MIN: 15.08 / MAX: 15.981. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620Min: 13.59 / Avg: 14.06 / Max: 14.96Min: 13.56 / Avg: 14.2 / Max: 15.14Min: 13.54 / Avg: 13.61 / Max: 13.65Min: 13.44 / Avg: 13.96 / Max: 15.32Min: 15.18 / Avg: 15.35 / Max: 15.471. (CXX) g++ options: -rdynamic -lgomp -lpthread

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 ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS714212835SE +/- 0.09, N = 3SE +/- 0.34, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 327.5530.9727.6327.4730.83-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsqlite3-O3-O31. (CXX) g++ options: -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS714212835Min: 27.37 / Avg: 27.55 / Max: 27.68Min: 30.52 / Avg: 30.97 / Max: 31.63Min: 27.44 / Avg: 27.63 / Max: 27.74Min: 27.1 / Avg: 27.46 / Max: 27.83Min: 30.49 / Avg: 30.83 / Max: 31.121. (CXX) g++ options: -lsnappy -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: Rotate 90 DegreesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed918273645SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 337.7737.6035.5039.95
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240Min: 37.67 / Avg: 37.77 / Max: 37.92Min: 37.57 / Avg: 37.59 / Max: 37.64Min: 35.48 / Avg: 35.5 / Max: 35.52Min: 39.83 / Avg: 39.95 / Max: 40.08

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: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.65081.30161.95242.60323.254SE +/- 0.03490, N = 3SE +/- 0.01296, N = 3SE +/- 0.00552, N = 3SE +/- 0.00447, N = 3SE +/- 0.00302, N = 32.892462.641082.604982.580302.61235MIN: 2.77-O2 - MIN: 2.58MIN: 2.58MIN: 2.55MIN: 2.591. (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: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 2.84 / Avg: 2.89 / Max: 2.96Min: 2.62 / Avg: 2.64 / Max: 2.67Min: 2.6 / Avg: 2.6 / Max: 2.62Min: 2.58 / Avg: 2.58 / Max: 2.59Min: 2.61 / Avg: 2.61 / Max: 2.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 EnhanceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1224364860SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 352.0550.4446.5151.92
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1020304050Min: 51.98 / Avg: 52.05 / Max: 52.18Min: 50.36 / Avg: 50.44 / Max: 50.55Min: 46.48 / Avg: 46.51 / Max: 46.52Min: 51.86 / Avg: 51.92 / Max: 51.96

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: blazefaceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.53331.06661.59992.13322.6665SE +/- 0.01, N = 3SE +/- 0.01, N = 5SE +/- 0.02, N = 3SE +/- 0.03, N = 5SE +/- 0.04, N = 32.122.142.182.282.37-O3 - MIN: 2.07 / MAX: 2.18-O2 - MIN: 2.07 / MAX: 2.26-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 2.1 / MAX: 14.99-O3 - MIN: 2.18 / MAX: 2.47-O3 - MIN: 2.26 / MAX: 2.841. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 2.11 / Avg: 2.12 / Max: 2.13Min: 2.12 / Avg: 2.14 / Max: 2.16Min: 2.14 / Avg: 2.18 / Max: 2.22Min: 2.23 / Avg: 2.28 / Max: 2.41Min: 2.32 / Avg: 2.37 / Max: 2.461. (CXX) g++ options: -rdynamic -lgomp -lpthread

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 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS60120180240300SE +/- 1.24, N = 3SE +/- 1.39, N = 3SE +/- 0.77, N = 3SE +/- 1.16, N = 3SE +/- 2.57, N = 3254.11251.98268.78255.98240.79-O21. (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 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS50100150200250Min: 252.42 / Avg: 254.11 / Max: 256.52Min: 249.38 / Avg: 251.98 / Max: 254.13Min: 267.38 / Avg: 268.78 / Max: 270.03Min: 253.7 / Avg: 255.98 / Max: 257.51Min: 236.31 / Avg: 240.79 / Max: 245.21. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS510152025SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 320.8722.5720.2320.7220.63-O3-O2-O3-O3-O31. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS510152025Min: 20.82 / Avg: 20.87 / Max: 20.89Min: 22.57 / Avg: 22.57 / Max: 22.57Min: 20.21 / Avg: 20.23 / Max: 20.26Min: 20.66 / Avg: 20.72 / Max: 20.83Min: 20.61 / Avg: 20.63 / Max: 20.651. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.67011.34022.01032.68043.3505SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.007, N = 3SE +/- 0.001, N = 32.6792.6892.7632.978
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Room - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810Min: 2.67 / Avg: 2.68 / Max: 2.69Min: 2.68 / Avg: 2.69 / Max: 2.7Min: 2.76 / Avg: 2.76 / Max: 2.78Min: 2.98 / Avg: 2.98 / Max: 2.98

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS612182430SE +/- 0.14, N = 3SE +/- 0.03, N = 5SE +/- 0.02, N = 3SE +/- 0.09, N = 5SE +/- 0.15, N = 324.8625.7123.1824.0024.06-O3 - MIN: 24.03 / MAX: 30.04-O2 - MIN: 24.55 / MAX: 32.72-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 22.74 / MAX: 28-O3 - MIN: 23.21 / MAX: 34.2-O3 - MIN: 23.37 / MAX: 25.151. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS612182430Min: 24.69 / Avg: 24.86 / Max: 25.13Min: 25.64 / Avg: 25.71 / Max: 25.83Min: 23.14 / Avg: 23.18 / Max: 23.22Min: 23.75 / Avg: 24 / Max: 24.31Min: 23.77 / Avg: 24.06 / Max: 24.231. (CXX) g++ options: -rdynamic -lgomp -lpthread

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS70140210280350SE +/- 0.27, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.29, N = 3SE +/- 0.61, N = 3297.20286.64276.90288.61306.99-O3 - MIN: 294.96 / MAX: 312.43-O2 - MIN: 285.14 / MAX: 294.79-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 275.91 / MAX: 285.12-O3 - MIN: 286.94 / MAX: 301.68-O3 - MIN: 305.3 / MAX: 314.971. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS60120180240300Min: 296.87 / Avg: 297.2 / Max: 297.73Min: 286.59 / Avg: 286.64 / Max: 286.72Min: 276.8 / Avg: 276.9 / Max: 277Min: 288.07 / Avg: 288.61 / Max: 289.06Min: 306.22 / Avg: 306.99 / Max: 308.21. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1020304050SE +/- 0.29, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.38, N = 3SE +/- 0.06, N = 342.9942.0738.9040.8942.081. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS918273645Min: 42.41 / Avg: 42.99 / Max: 43.33Min: 41.78 / Avg: 42.07 / Max: 42.33Min: 38.52 / Avg: 38.9 / Max: 39.27Min: 40.33 / Avg: 40.89 / Max: 41.61Min: 41.98 / Avg: 42.08 / Max: 42.191. (CXX) g++ options: -O3 -fPIC

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: alexnetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215SE +/- 0.01, N = 3SE +/- 0.13, N = 5SE +/- 0.07, N = 3SE +/- 0.16, N = 5SE +/- 0.19, N = 310.9310.769.9210.0610.93-O3 - MIN: 10.8 / MAX: 11.87-O2 - MIN: 10.13 / MAX: 29.35-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 9.73 / MAX: 10.06-O3 - MIN: 9.72 / MAX: 10.97-O3 - MIN: 10.5 / MAX: 13.241. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 10.92 / Avg: 10.93 / Max: 10.94Min: 10.27 / Avg: 10.76 / Max: 10.95Min: 9.79 / Avg: 9.92 / Max: 10.01Min: 9.77 / Avg: 10.06 / Max: 10.49Min: 10.55 / Avg: 10.93 / Max: 11.151. (CXX) g++ options: -rdynamic -lgomp -lpthread

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 WritingUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS900K1800K2700K3600K4500KSE +/- 31411.63, N = 3SE +/- 7677.96, N = 3SE +/- 4720.39, N = 3SE +/- 35906.41, N = 154219105397017938315174160256-O21. (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 WritingUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS700K1400K2100K2800K3500KMin: 4187459 / Avg: 4219105.33 / Max: 4281928Min: 3956807 / Avg: 3970179 / Max: 3983403Min: 3826639 / Avg: 3831517 / Max: 3840956Min: 4047582 / Avg: 4160255.6 / Max: 45086951. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

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: EmilyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS50100150200250227.10228.99219.45222.77241.44

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS918273645SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 336.4439.0336.7635.4836.08-O3-O2-O3-O3-O31. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS816243240Min: 36.39 / Avg: 36.44 / Max: 36.49Min: 39 / Avg: 39.03 / Max: 39.04Min: 36.74 / Avg: 36.76 / Max: 36.8Min: 35.44 / Avg: 35.48 / Max: 35.53Min: 36.02 / Avg: 36.08 / Max: 36.111. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -rdynamic -lm -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1632486480SE +/- 0.23, N = 3SE +/- 0.30, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.70, N = 372.0670.8965.5869.5270.261. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1428425670Min: 71.6 / Avg: 72.06 / Max: 72.35Min: 70.39 / Avg: 70.89 / Max: 71.43Min: 65.46 / Avg: 65.58 / Max: 65.72Min: 69.17 / Avg: 69.52 / Max: 69.84Min: 68.93 / Avg: 70.26 / Max: 71.311. (CXX) g++ options: -O3 -fPIC

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS816243240SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.27, N = 334.1535.8633.9832.8036.01-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -lsqlite3-O3-O31. (CXX) g++ options: -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS816243240Min: 33.75 / Avg: 34.15 / Max: 34.38Min: 35.64 / Avg: 35.86 / Max: 36.16Min: 33.92 / Avg: 33.98 / Max: 34.09Min: 32.47 / Avg: 32.8 / Max: 33.03Min: 35.65 / Avg: 36.01 / Max: 36.541. (CXX) g++ options: -lsnappy -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620SE +/- 0.06, N = 3SE +/- 0.17, N = 5SE +/- 0.03, N = 3SE +/- 0.17, N = 5SE +/- 0.16, N = 314.1714.0513.1614.2014.44-O3 - MIN: 13.89 / MAX: 26.2-O2 - MIN: 13.46 / MAX: 27.02-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 13 / MAX: 13.52-O3 - MIN: 13.71 / MAX: 15.54-O3 - MIN: 14.17 / MAX: 15.261. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620Min: 14.1 / Avg: 14.17 / Max: 14.28Min: 13.63 / Avg: 14.05 / Max: 14.62Min: 13.1 / Avg: 13.16 / Max: 13.19Min: 13.82 / Avg: 14.2 / Max: 14.75Min: 14.28 / Avg: 14.44 / Max: 14.761. (CXX) g++ options: -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.03569, N = 3SE +/- 0.00859, N = 3SE +/- 0.04482, N = 3SE +/- 0.03276, N = 3SE +/- 0.00204, N = 37.682297.177257.059747.004937.34695MIN: 7.28-O2 - MIN: 6.9MIN: 6.79MIN: 6.7MIN: 7.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 7.61 / Avg: 7.68 / Max: 7.73Min: 7.17 / Avg: 7.18 / Max: 7.19Min: 6.99 / Avg: 7.06 / Max: 7.14Min: 6.95 / Avg: 7 / Max: 7.07Min: 7.34 / Avg: 7.35 / Max: 7.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: AntialiasUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 335.3234.9333.8636.90
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed816243240Min: 35.29 / Avg: 35.32 / Max: 35.36Min: 34.92 / Avg: 34.93 / Max: 34.95Min: 33.79 / Avg: 33.86 / Max: 33.99Min: 36.84 / Avg: 36.9 / Max: 36.96

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1224364860SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 349.7650.6751.0254.081. Ubuntu 20.10 20200929: RawTherapee, version 5.8, command line.2. Fedora Workstation 33 Beta: RawTherapee, version 5.8, command line.3. Clear Linux 33780: RawTherapee, version , command line.4. openSUSE Tumbleweed: RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed1122334455Min: 49.74 / Avg: 49.76 / Max: 49.78Min: 50.58 / Avg: 50.67 / Max: 50.73Min: 50.88 / Avg: 51.02 / Max: 51.09Min: 54.04 / Avg: 54.08 / Max: 54.151. Ubuntu 20.10 20200929: RawTherapee, version 5.8, command line.2. Fedora Workstation 33 Beta: RawTherapee, version 5.8, command line.3. Clear Linux 33780: RawTherapee, version , command line.4. openSUSE Tumbleweed: RawTherapee, version 5.8, command line.

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: Tile GlassUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 328.7227.8327.3429.67
OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed714212835Min: 28.66 / Avg: 28.72 / Max: 28.77Min: 27.8 / Avg: 27.83 / Max: 27.85Min: 27.32 / Avg: 27.34 / Max: 27.36Min: 29.58 / Avg: 29.67 / Max: 29.77

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-v2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1.23752.4753.71254.956.1875SE +/- 0.05, N = 2SE +/- 0.05, N = 5SE +/- 0.10, N = 3SE +/- 0.09, N = 5SE +/- 0.01, N = 35.075.115.145.505.15-O3 - MIN: 4.75 / MAX: 8.65-O2 - MIN: 4.7 / MAX: 20.31-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 4.81 / MAX: 16.62-O3 - MIN: 5.07 / MAX: 6.5-O3 - MIN: 5.06 / MAX: 5.511. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 5.02 / Avg: 5.07 / Max: 5.11Min: 4.94 / Avg: 5.11 / Max: 5.24Min: 4.93 / Avg: 5.14 / Max: 5.24Min: 5.16 / Avg: 5.5 / Max: 5.67Min: 5.13 / Avg: 5.15 / Max: 5.181. (CXX) g++ options: -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1.2782.5563.8345.1126.39SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 5SE +/- 0.12, N = 35.255.345.325.445.68-O3 - MIN: 4.93 / MAX: 11.38-O2 - MIN: 4.81 / MAX: 46.89-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 5.1 / MAX: 5.47-O3 - MIN: 5.14 / MAX: 5.84-O3 - MIN: 5.36 / MAX: 6.221. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 5.14 / Avg: 5.25 / Max: 5.42Min: 5.28 / Avg: 5.34 / Max: 5.42Min: 5.27 / Avg: 5.32 / Max: 5.35Min: 5.33 / Avg: 5.44 / Max: 5.75Min: 5.46 / Avg: 5.68 / Max: 5.881. (CXX) g++ options: -rdynamic -lgomp -lpthread

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 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS70140210280350SE +/- 4.02, N = 4SE +/- 4.41, N = 3SE +/- 3.43, N = 3SE +/- 2.74, N = 3SE +/- 4.79, N = 3312.25308.51321.45309.81297.68-O21. (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 1080pUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS60120180240300Min: 300.6 / Avg: 312.25 / Max: 318.98Min: 299.7 / Avg: 308.51 / Max: 313.32Min: 314.63 / Avg: 321.45 / Max: 325.56Min: 304.57 / Avg: 309.81 / Max: 313.81Min: 288.46 / Avg: 297.68 / Max: 304.571. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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: efficientnet-b0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.06, N = 3SE +/- 0.12, N = 5SE +/- 0.09, N = 3SE +/- 0.14, N = 5SE +/- 0.12, N = 37.157.117.197.357.67-O3 - MIN: 6.78 / MAX: 11.03-O2 - MIN: 6.51 / MAX: 8.85-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 6.9 / MAX: 7.52-O3 - MIN: 6.87 / MAX: 8.68-O3 - MIN: 7.34 / MAX: 8.281. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 7.02 / Avg: 7.15 / Max: 7.22Min: 6.8 / Avg: 7.11 / Max: 7.4Min: 7.07 / Avg: 7.19 / Max: 7.36Min: 7.09 / Avg: 7.35 / Max: 7.86Min: 7.44 / Avg: 7.67 / Max: 7.841. (CXX) g++ options: -rdynamic -lgomp -lpthread

Git

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1122334455SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 348.6347.2445.2446.5747.691. Ubuntu 20.10 20200929: git version 2.27.02. Fedora Workstation 33 Beta: git version 2.28.03. Clear Linux 33780: git version 2.28.04. openSUSE Tumbleweed: git version 2.28.05. Endeavour OS: git version 2.28.0
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1020304050Min: 48.51 / Avg: 48.63 / Max: 48.78Min: 47.19 / Avg: 47.24 / Max: 47.27Min: 45.1 / Avg: 45.24 / Max: 45.43Min: 46.4 / Avg: 46.57 / Max: 46.65Min: 47.55 / Avg: 47.69 / Max: 47.891. Ubuntu 20.10 20200929: git version 2.27.02. Fedora Workstation 33 Beta: git version 2.28.03. Clear Linux 33780: git version 2.28.04. openSUSE Tumbleweed: git version 2.28.05. Endeavour OS: git version 2.28.0

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: mobilenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620SE +/- 0.16, N = 3SE +/- 0.25, N = 5SE +/- 0.00, N = 3SE +/- 0.08, N = 5SE +/- 0.16, N = 317.1617.4716.4316.2916.76-O3 - MIN: 16.76 / MAX: 17.48-O2 - MIN: 16.65 / MAX: 46.98-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 15.94 / MAX: 20.27-O3 - MIN: 15.99 / MAX: 17.28-O3 - MIN: 16.47 / MAX: 17.641. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620Min: 16.84 / Avg: 17.16 / Max: 17.39Min: 16.89 / Avg: 17.47 / Max: 18.14Min: 16.43 / Avg: 16.43 / Max: 16.44Min: 16.1 / Avg: 16.29 / Max: 16.56Min: 16.6 / Avg: 16.76 / Max: 17.081. (CXX) g++ options: -rdynamic -lgomp -lpthread

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.016.956.866.687.121. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 6.99 / Avg: 7.01 / Max: 7.03Min: 6.94 / Avg: 6.95 / Max: 6.95Min: 6.85 / Avg: 6.86 / Max: 6.86Min: 6.67 / Avg: 6.68 / Max: 6.7Min: 7.09 / Avg: 7.12 / Max: 7.161. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1.172.343.514.685.85SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 35.095.065.054.885.201. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 5.07 / Avg: 5.09 / Max: 5.1Min: 5.05 / Avg: 5.06 / Max: 5.07Min: 5.03 / Avg: 5.05 / Max: 5.08Min: 4.85 / Avg: 4.88 / Max: 4.93Min: 5.19 / Avg: 5.2 / Max: 5.221. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS246810SE +/- 0.06631, N = 3SE +/- 0.00386, N = 3SE +/- 0.00431, N = 3SE +/- 0.00799, N = 37.385387.814047.846187.86666-lmpi_cxx-lmpi_cxx-lmpi_cxx1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS3691215Min: 7.25 / Avg: 7.39 / Max: 7.46Min: 7.81 / Avg: 7.81 / Max: 7.82Min: 7.84 / Avg: 7.85 / Max: 7.85Min: 7.85 / Avg: 7.87 / Max: 7.881. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS9001800270036004500SE +/- 10.55, N = 3SE +/- 1.02, N = 3SE +/- 1.81, N = 3SE +/- 2.23, N = 3SE +/- 2.02, N = 33994.374005.434250.714023.604014.17-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS7001400210028003500Min: 3982.26 / Avg: 3994.37 / Max: 4015.38Min: 4003.48 / Avg: 4005.43 / Max: 4006.94Min: 4247.14 / Avg: 4250.71 / Max: 4253.06Min: 4020.14 / Avg: 4023.6 / Max: 4027.76Min: 4010.19 / Avg: 4014.17 / Max: 4016.81. (CC) gcc options: -O3 -mavx2

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS2M4M6M8M10MSE +/- 56119.05, N = 3SE +/- 15600.26, N = 3SE +/- 10545.32, N = 3SE +/- 39588.48, N = 3SE +/- 31383.98, N = 3904055695018079359149959832791360741. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1.7M3.4M5.1M6.8M8.5MMin: 8928397 / Avg: 9040556.33 / Max: 9100277Min: 9471597 / Avg: 9501806.67 / Max: 9523667Min: 9346634 / Avg: 9359148.67 / Max: 9380108Min: 9521797 / Avg: 9598327.33 / Max: 9654173Min: 9073955 / Avg: 9136074 / Max: 91749301. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS12M24M36M48M60MSE +/- 704473.66, N = 3SE +/- 648467.99, N = 3SE +/- 421420.95, N = 3SE +/- 405576.86, N = 3SE +/- 114882.78, N = 35323476752941334561651135446105153424750
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS10M20M30M40M50MMin: 51850643 / Avg: 53234767.33 / Max: 54154863Min: 52283958 / Avg: 52941334 / Max: 54238229Min: 55500059 / Avg: 56165113.33 / Max: 56946042Min: 53737000 / Avg: 54461051.33 / Max: 55139763Min: 53302465 / Avg: 53424750 / Max: 53654353

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 CompressionUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.003, N = 3SE +/- 0.018, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 36.6336.6076.2666.5606.616-O2 -ltiff-O2 -ltiff-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -ltiff-O2-O21. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 6.63 / Avg: 6.63 / Max: 6.64Min: 6.58 / Avg: 6.61 / Max: 6.64Min: 6.26 / Avg: 6.27 / Max: 6.28Min: 6.55 / Avg: 6.56 / Max: 6.57Min: 6.61 / Avg: 6.62 / Max: 6.631. (CC) gcc options: -fvisibility=hidden -pthread -lm -ljpeg -lpng16

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS50K100K150K200K250K207515205846211356199874206372-lSM -lICE -lXext -luuid-lSM -lICE -lXext-lSM -lICE -lXi -lXext -lXrender -luuid1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lGLU -lGL -lGLdispatch -lX11 -lpthread -ldl -lm

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed0.02970.05940.08910.11880.1485SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.1280.1300.1250.132
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Server Rack - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed12345Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.12 / Avg: 0.12 / Max: 0.13Min: 0.13 / Avg: 0.13 / Max: 0.14

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215SE +/- 0.00075, N = 3SE +/- 0.01309, N = 3SE +/- 0.00147, N = 3SE +/- 0.00341, N = 3SE +/- 0.00260, N = 39.148028.958049.220908.827939.32132MIN: 8.92-O2 - MIN: 8.67MIN: 9.08MIN: 8.74MIN: 9.171. (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_1d - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 9.15 / Avg: 9.15 / Max: 9.15Min: 8.94 / Avg: 8.96 / Max: 8.98Min: 9.22 / Avg: 9.22 / Max: 9.22Min: 8.82 / Avg: 8.83 / Max: 8.83Min: 9.32 / Avg: 9.32 / Max: 9.331. (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: CPU - Model: resnet50Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS510152025SE +/- 0.01, N = 3SE +/- 0.31, N = 5SE +/- 0.09, N = 3SE +/- 0.43, N = 5SE +/- 0.03, N = 321.7921.5321.1322.2922.10-O3 - MIN: 21.52 / MAX: 35.09-O2 - MIN: 20.05 / MAX: 23.48-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 20.86 / MAX: 21.4-O3 - MIN: 21.02 / MAX: 23.98-O3 - MIN: 21.88 / MAX: 22.721. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS510152025Min: 21.77 / Avg: 21.79 / Max: 21.81Min: 20.29 / Avg: 21.53 / Max: 21.88Min: 20.96 / Avg: 21.13 / Max: 21.22Min: 21.18 / Avg: 22.29 / Max: 23.08Min: 22.05 / Avg: 22.1 / Max: 22.161. (CXX) g++ options: -rdynamic -lgomp -lpthread

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: Random ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS20M40M60M80M100MSE +/- 116666.65, N = 3SE +/- 87613.91, N = 3SE +/- 27355.59, N = 3SE +/- 60581.87, N = 399244113101652315101535961104469440-O21. (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: Random ReadUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS20M40M60M80M100MMin: 99114924 / Avg: 99244113 / Max: 99476981Min: 101479523 / Avg: 101652314.67 / Max: 101763927Min: 101481315 / Avg: 101535961 / Max: 101565596Min: 104350449 / Avg: 104469439.67 / Max: 1045487191. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS816243240SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 332.7032.0131.2231.3832.78MIN: 31.08-O2 - MIN: 30.67MIN: 29.81MIN: 29.81MIN: 31.311. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS714212835Min: 32.55 / Avg: 32.7 / Max: 32.89Min: 31.81 / Avg: 32.01 / Max: 32.22Min: 31.1 / Avg: 31.22 / Max: 31.33Min: 31.35 / Avg: 31.38 / Max: 31.41Min: 32.65 / Avg: 32.78 / Max: 32.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.52211.04421.56632.08842.6105SE +/- 0.03226, N = 4SE +/- 0.00643, N = 3SE +/- 0.00286, N = 3SE +/- 0.00089, N = 3SE +/- 0.00253, N = 32.320482.223592.212862.210722.22656MIN: 2.13-O2 - MIN: 2.04MIN: 2.14MIN: 2.13MIN: 2.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 2.23 / Avg: 2.32 / Max: 2.38Min: 2.21 / Avg: 2.22 / Max: 2.23Min: 2.21 / Avg: 2.21 / Max: 2.22Min: 2.21 / Avg: 2.21 / Max: 2.21Min: 2.22 / Avg: 2.23 / Max: 2.231. (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_1d - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.40110.80221.20331.60442.0055SE +/- 0.02002, N = 3SE +/- 0.00624, N = 3SE +/- 0.00301, N = 3SE +/- 0.00188, N = 3SE +/- 0.00072, N = 31.782641.742211.705511.698961.70167MIN: 1.71-O2 - MIN: 1.69MIN: 1.67MIN: 1.68MIN: 1.681. (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_1d - Data Type: f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 1.75 / Avg: 1.78 / Max: 1.82Min: 1.73 / Avg: 1.74 / Max: 1.75Min: 1.7 / Avg: 1.71 / Max: 1.71Min: 1.7 / Avg: 1.7 / Max: 1.7Min: 1.7 / Avg: 1.7 / Max: 1.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS0.35890.71781.07671.43561.7945SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 31.5751.5221.5951.575-O3-O2 -ldl-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake -ldl-O31. (CXX) g++ options: -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS246810Min: 1.57 / Avg: 1.58 / Max: 1.58Min: 1.52 / Avg: 1.52 / Max: 1.52Min: 1.59 / Avg: 1.59 / Max: 1.6Min: 1.57 / Avg: 1.58 / Max: 1.581. (CXX) g++ options: -pthread -lrt -lpthread -lm

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 1.2.4Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS8M16M24M32M40MSE +/- 21100.15, N = 3SE +/- 12013.89, N = 3SE +/- 74000.40, N = 3SE +/- 64733.28, N = 3SE +/- 26878.56, N = 33470715334475670344797533443428036038850-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake-O3-O31. (CXX) g++ options: -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS6M12M18M24M30MMin: 34672280 / Avg: 34707153.33 / Max: 34745170Min: 34452540 / Avg: 34475670 / Max: 34492870Min: 34353140 / Avg: 34479753.33 / Max: 34609430Min: 34310840 / Avg: 34434280 / Max: 34529810Min: 35994560 / Avg: 36038850 / Max: 360873801. (CXX) g++ options: -fopenmp

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: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215SE +/- 0.02565, N = 3SE +/- 0.01577, N = 3SE +/- 0.04894, N = 3SE +/- 0.01124, N = 3SE +/- 0.00176, N = 39.449859.312769.174999.052099.29121MIN: 9.33-O2 - MIN: 9.21MIN: 9.05MIN: 8.98MIN: 9.231. (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: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 9.4 / Avg: 9.45 / Max: 9.48Min: 9.29 / Avg: 9.31 / Max: 9.34Min: 9.12 / Avg: 9.17 / Max: 9.27Min: 9.03 / Avg: 9.05 / Max: 9.07Min: 9.29 / Avg: 9.29 / Max: 9.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS60120180240300SE +/- 0.22, N = 3SE +/- 0.47, N = 3SE +/- 0.86, N = 3SE +/- 1.42, N = 3SE +/- 0.56, N = 3268.67274.81280.11270.17278.94MIN: 1 / MAX: 1084MIN: 1 / MAX: 1115MIN: 1 / MAX: 1134MIN: 1 / MAX: 1098MIN: 1 / MAX: 1132
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS50100150200250Min: 268.25 / Avg: 268.67 / Max: 269Min: 274.33 / Avg: 274.81 / Max: 275.75Min: 278.83 / Avg: 280.11 / Max: 281.75Min: 268 / Avg: 270.17 / Max: 272.83Min: 277.83 / Avg: 278.94 / Max: 279.5

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: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215SE +/- 0.03370, N = 3SE +/- 0.02520, N = 3SE +/- 0.00277, N = 3SE +/- 0.05240, N = 3SE +/- 0.00714, N = 310.009599.808009.629949.808829.82761MIN: 9.86-O2 - MIN: 9.68MIN: 9.56MIN: 9.59MIN: 9.741. (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: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 9.94 / Avg: 10.01 / Max: 10.05Min: 9.77 / Avg: 9.81 / Max: 9.86Min: 9.63 / Avg: 9.63 / Max: 9.64Min: 9.73 / Avg: 9.81 / Max: 9.91Min: 9.81 / Avg: 9.83 / Max: 9.841. (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: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.39770.79541.19311.59081.9885SE +/- 0.00967, N = 3SE +/- 0.01563, N = 3SE +/- 0.00724, N = 3SE +/- 0.00363, N = 3SE +/- 0.00641, N = 31.767561.751591.713721.701571.70654MIN: 1.65-O2 - MIN: 1.64MIN: 1.62MIN: 1.63MIN: 1.621. (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: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 1.75 / Avg: 1.77 / Max: 1.78Min: 1.73 / Avg: 1.75 / Max: 1.78Min: 1.71 / Avg: 1.71 / Max: 1.73Min: 1.7 / Avg: 1.7 / Max: 1.71Min: 1.7 / Avg: 1.71 / Max: 1.721. (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: CPU-v2-v2 - Model: mobilenet-v2openSUSE TumbleweedEndeavour OS246810SE +/- 0.14, N = 5SE +/- 0.17, N = 36.036.26MIN: 5.48 / MAX: 8.74MIN: 5.74 / MAX: 6.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2openSUSE TumbleweedEndeavour OS3691215Min: 5.75 / Avg: 6.03 / Max: 6.55Min: 5.93 / Avg: 6.26 / Max: 6.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1020304050SE +/- 0.02, N = 3SE +/- 0.25, N = 5SE +/- 0.07, N = 3SE +/- 0.33, N = 5SE +/- 0.18, N = 341.2640.1540.8841.6641.48-O3 - MIN: 41.12 / MAX: 44.72-O2 - MIN: 39.37 / MAX: 52.59-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 40.7 / MAX: 42.66-O3 - MIN: 40.85 / MAX: 45.07-O3 - MIN: 41 / MAX: 42.921. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS918273645Min: 41.23 / Avg: 41.26 / Max: 41.28Min: 39.56 / Avg: 40.15 / Max: 40.96Min: 40.81 / Avg: 40.88 / Max: 41.02Min: 41.01 / Avg: 41.66 / Max: 42.69Min: 41.11 / Avg: 41.48 / Max: 41.71. (CXX) g++ options: -rdynamic -lgomp -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: 19Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1428425670SE +/- 0.23, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 360.360.262.260.060.2-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1224364860Min: 59.8 / Avg: 60.27 / Max: 60.5Min: 59.8 / Avg: 60.2 / Max: 60.4Min: 62.1 / Avg: 62.23 / Max: 62.3Min: 59.7 / Avg: 59.97 / Max: 60.2Min: 59.8 / Avg: 60.17 / Max: 60.51. (CC) gcc options: -O3 -pthread -lz -llzma

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS70140210280350SE +/- 0.28, N = 3SE +/- 0.35, N = 3SE +/- 1.16, N = 3SE +/- 0.49, N = 3SE +/- 0.39, N = 3311.57313.83303.52303.07311.50
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS60120180240300Min: 311.15 / Avg: 311.57 / Max: 312.09Min: 313.28 / Avg: 313.83 / Max: 314.47Min: 302.27 / Avg: 303.52 / Max: 305.83Min: 302.18 / Avg: 303.07 / Max: 303.87Min: 310.8 / Avg: 311.5 / Max: 312.16

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS90180270360450SE +/- 0.41, N = 3SE +/- 0.40, N = 3SE +/- 0.32, N = 3SE +/- 0.58, N = 3SE +/- 0.57, N = 3389.49392.30380.51379.86389.88
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS70140210280350Min: 388.91 / Avg: 389.49 / Max: 390.29Min: 391.57 / Avg: 392.3 / Max: 392.95Min: 380.13 / Avg: 380.51 / Max: 381.15Min: 379.1 / Avg: 379.86 / Max: 380.99Min: 389.15 / Avg: 389.88 / Max: 391.01

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: ThoroughUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS48121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 317.9317.7617.6517.4518.011. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS510152025Min: 17.91 / Avg: 17.93 / Max: 17.95Min: 17.75 / Avg: 17.76 / Max: 17.76Min: 17.64 / Avg: 17.65 / Max: 17.66Min: 17.44 / Avg: 17.45 / Max: 17.46Min: 17.99 / Avg: 18.01 / Max: 18.031. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS2004006008001000SE +/- 1.65, N = 3SE +/- 3.02, N = 3SE +/- 4.35, N = 3SE +/- 2.82, N = 3787.51770.73795.38780.12
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPUUbuntu 20.10 20200929Clear Linux 33780openSUSE TumbleweedEndeavour OS140280420560700Min: 784.26 / Avg: 787.51 / Max: 789.64Min: 765.73 / Avg: 770.73 / Max: 776.17Min: 787.6 / Avg: 795.38 / Max: 802.63Min: 777.16 / Avg: 780.12 / Max: 785.76

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed246810SE +/- 0.022, N = 3SE +/- 0.011, N = 3SE +/- 0.014, N = 3SE +/- 0.017, N = 38.3538.4638.2208.351
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.2.1Test: Boat - Acceleration: CPU-onlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE Tumbleweed3691215Min: 8.31 / Avg: 8.35 / Max: 8.39Min: 8.44 / Avg: 8.46 / Max: 8.48Min: 8.2 / Avg: 8.22 / Max: 8.25Min: 8.32 / Avg: 8.35 / Max: 8.37

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS50100150200250SE +/- 0.18, N = 3SE +/- 0.32, N = 3SE +/- 0.42, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3216.39216.44217.10217.65211.59-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS4080120160200Min: 216.03 / Avg: 216.39 / Max: 216.57Min: 215.85 / Avg: 216.44 / Max: 216.95Min: 216.29 / Avg: 217.1 / Max: 217.68Min: 217.43 / Avg: 217.65 / Max: 217.84Min: 211.08 / Avg: 211.59 / Max: 212.041. (CC) gcc options: -O3 -rdynamic

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3127.11128.06124.78124.62127.38
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20406080100Min: 126.98 / Avg: 127.11 / Max: 127.18Min: 127.93 / Avg: 128.06 / Max: 128.17Min: 124.7 / Avg: 124.78 / Max: 124.91Min: 124.31 / Avg: 124.62 / Max: 124.91Min: 127.24 / Avg: 127.38 / Max: 127.46

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: Disney MaterialUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150121.51122.40119.32120.84122.21

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 v1.1Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS60120180240300SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 3.12, N = 3SE +/- 0.22, N = 3281.03279.36275.72282.46280.97-O3 - MIN: 280.52 / MAX: 282.72-O2 - MIN: 278.84 / MAX: 280.84-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 275.44 / MAX: 276.54-O3 - MIN: 278.62 / MAX: 297.8-O3 - MIN: 280.22 / MAX: 287.391. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS50100150200250Min: 280.98 / Avg: 281.03 / Max: 281.1Min: 279.17 / Avg: 279.36 / Max: 279.49Min: 275.64 / Avg: 275.72 / Max: 275.87Min: 279.15 / Avg: 282.46 / Max: 288.69Min: 280.71 / Avg: 280.97 / Max: 281.41. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

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 TesterUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150126.62126.47124.76124.75127.66

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-v3-v3 - Model: mobilenet-v3openSUSE TumbleweedEndeavour OS1.23082.46163.69244.92326.154SE +/- 0.10, N = 5SE +/- 0.07, N = 35.355.47MIN: 5.02 / MAX: 6.02MIN: 5.28 / MAX: 5.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3openSUSE TumbleweedEndeavour OS246810Min: 5.19 / Avg: 5.35 / Max: 5.72Min: 5.34 / Avg: 5.47 / Max: 5.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1.25892.51783.77675.03566.2945SE +/- 0.03159, N = 3SE +/- 0.03682, N = 3SE +/- 0.01117, N = 3SE +/- 0.00504, N = 3SE +/- 0.00028, N = 35.581135.595285.492185.476015.48237MIN: 5.43-O2 - MIN: 5.41MIN: 5.43MIN: 5.38MIN: 5.441. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 5.52 / Avg: 5.58 / Max: 5.63Min: 5.52 / Avg: 5.6 / Max: 5.64Min: 5.48 / Avg: 5.49 / Max: 5.51Min: 5.47 / Avg: 5.48 / Max: 5.48Min: 5.48 / Avg: 5.48 / Max: 5.481. (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_1d - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.10490.20980.31470.41960.5245SE +/- 0.001807, N = 3SE +/- 0.001959, N = 3SE +/- 0.000033, N = 3SE +/- 0.000445, N = 3SE +/- 0.000490, N = 30.4632720.4662560.4605950.4563410.458694MIN: 0.45-O2 - MIN: 0.45MIN: 0.45MIN: 0.44MIN: 0.451. (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_1d - Data Type: u8s8f32 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS12345Min: 0.46 / Avg: 0.46 / Max: 0.47Min: 0.46 / Avg: 0.47 / Max: 0.47Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.461. (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: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810SE +/- 0.01495, N = 3SE +/- 0.04760, N = 3SE +/- 0.00386, N = 3SE +/- 0.00284, N = 3SE +/- 0.00304, N = 38.018578.029117.990687.954117.86189MIN: 7.6-O2 - MIN: 7.67MIN: 7.71MIN: 7.65MIN: 7.571. (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: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 7.99 / Avg: 8.02 / Max: 8.04Min: 7.93 / Avg: 8.03 / Max: 8.08Min: 7.98 / Avg: 7.99 / Max: 8Min: 7.95 / Avg: 7.95 / Max: 7.96Min: 7.86 / Avg: 7.86 / Max: 7.871. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS11002200330044005500SE +/- 36.88, N = 3SE +/- 19.66, N = 3SE +/- 12.17, N = 3SE +/- 15.85, N = 3SE +/- 15.78, N = 34886.64863.44909.44959.54960.1-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake-llz41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS9001800270036004500Min: 4817.1 / Avg: 4886.57 / Max: 4942.8Min: 4827.9 / Avg: 4863.43 / Max: 4895.8Min: 4887.7 / Avg: 4909.4 / Max: 4929.8Min: 4928.9 / Avg: 4959.5 / Max: 4982Min: 4935.5 / Avg: 4960.07 / Max: 4989.51. (CC) gcc options: -O3 -pthread -lz -llzma

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20406080100SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 393.5293.4991.7392.2392.92
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20406080100Min: 93.24 / Avg: 93.52 / Max: 93.71Min: 93.38 / Avg: 93.49 / Max: 93.57Min: 91.28 / Avg: 91.73 / Max: 92.38Min: 92.05 / Avg: 92.23 / Max: 92.52Min: 92.82 / Avg: 92.92 / Max: 93.05

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS30K60K90K120K150KSE +/- 340.53, N = 3SE +/- 195.25, N = 3SE +/- 181.79, N = 3SE +/- 259.29, N = 3SE +/- 23.55, N = 3118100117441116724116137116095
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20K40K60K80K100KMin: 117655 / Avg: 118100 / Max: 118769Min: 117053 / Avg: 117441.33 / Max: 117671Min: 116506 / Avg: 116724 / Max: 117085Min: 115774 / Avg: 116136.67 / Max: 116639Min: 116052 / Avg: 116095.33 / Max: 116133

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS30K60K90K120K150KSE +/- 20.08, N = 3SE +/- 67.98, N = 3SE +/- 69.22, N = 3SE +/- 21.14, N = 3SE +/- 65.16, N = 3127956128302129099127967127067
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20K40K60K80K100KMin: 127917 / Avg: 127956.33 / Max: 127983Min: 128214 / Avg: 128302.33 / Max: 128436Min: 128961 / Avg: 129099.33 / Max: 129173Min: 127937 / Avg: 127967.33 / Max: 128008Min: 126960 / Avg: 127067.33 / Max: 127185

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: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.9210.9110.8510.7810.88MIN: 10.73-O2 - MIN: 10.71MIN: 10.72MIN: 10.67MIN: 10.721. (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: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 10.87 / Avg: 10.92 / Max: 10.96Min: 10.88 / Avg: 10.91 / Max: 10.94Min: 10.82 / Avg: 10.85 / Max: 10.88Min: 10.78 / Avg: 10.78 / Max: 10.78Min: 10.88 / Avg: 10.88 / Max: 10.891. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS60120180240300SE +/- 0.51, N = 3SE +/- 0.17, N = 3SE +/- 0.88, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3283.47284.29280.87280.85282.21
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS50100150200250Min: 282.51 / Avg: 283.47 / Max: 284.25Min: 283.98 / Avg: 284.29 / Max: 284.57Min: 279.11 / Avg: 280.87 / Max: 281.89Min: 280.57 / Avg: 280.85 / Max: 281.11Min: 282.06 / Avg: 282.21 / Max: 282.38

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: ExhaustiveUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3141.12141.38140.76139.85141.391. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS306090120150Min: 141.08 / Avg: 141.12 / Max: 141.16Min: 141.37 / Avg: 141.38 / Max: 141.39Min: 140.7 / Avg: 140.76 / Max: 140.79Min: 139.8 / Avg: 139.85 / Max: 139.9Min: 141.28 / Avg: 141.39 / Max: 141.551. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS510152025SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 318.4818.3918.2818.2918.46
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS510152025Min: 18.38 / Avg: 18.48 / Max: 18.55Min: 18.21 / Avg: 18.39 / Max: 18.54Min: 18.03 / Avg: 18.28 / Max: 18.49Min: 18.1 / Avg: 18.29 / Max: 18.44Min: 18.35 / Avg: 18.46 / Max: 18.66

OpenSSL

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

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS11002200330044005500SE +/- 5.55, N = 3SE +/- 5.10, N = 3SE +/- 4.95, N = 3SE +/- 13.63, N = 3SE +/- 15.20, N = 35191.95175.65212.05175.95159.9-pipe -fexceptions -fstack-protector -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS9001800270036004500Min: 5183.2 / Avg: 5191.87 / Max: 5202.2Min: 5166.4 / Avg: 5175.63 / Max: 5184Min: 5204.9 / Avg: 5211.97 / Max: 5221.5Min: 5154.6 / Avg: 5175.93 / Max: 5201.3Min: 5129.5 / Avg: 5159.9 / Max: 5175.21. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20K40K60K80K100KSE +/- 59.33, N = 3SE +/- 36.06, N = 3SE +/- 83.96, N = 3SE +/- 41.21, N = 3SE +/- 13.01, N = 387493.188258.687810.987430.387417.0
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS15K30K45K60K75KMin: 87414.6 / Avg: 87493.1 / Max: 87609.4Min: 88214.5 / Avg: 88258.63 / Max: 88330.1Min: 87723.3 / Avg: 87810.93 / Max: 87978.8Min: 87349.3 / Avg: 87430.3 / Max: 87484Min: 87401.8 / Avg: 87417 / Max: 87442.9

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1428425670SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 363.8763.8663.9763.6464.25MIN: 63.01-O2 - MIN: 63.2MIN: 63.43MIN: 63.15MIN: 63.581. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1326395265Min: 63.76 / Avg: 63.87 / Max: 64Min: 63.74 / Avg: 63.86 / Max: 63.96Min: 63.83 / Avg: 63.97 / Max: 64.09Min: 63.62 / Avg: 63.64 / Max: 63.66Min: 64.19 / Avg: 64.25 / Max: 64.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Hierarchical INTegration

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

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS100M200M300M400M500MSE +/- 885405.39, N = 3SE +/- 311710.44, N = 3SE +/- 750713.54, N = 3SE +/- 472141.24, N = 3SE +/- 801393.77, N = 3455254464.97454854722.63455035663.30458498603.13454224548.77-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake1. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS80M160M240M320M400MMin: 453602751.21 / Avg: 455254464.97 / Max: 456633231.73Min: 454245023.76 / Avg: 454854722.63 / Max: 455272224.89Min: 453675780.68 / Avg: 455035663.3 / Max: 456266741.55Min: 457603302.96 / Avg: 458498603.13 / Max: 459206215.25Min: 452622650.31 / Avg: 454224548.77 / Max: 455071724.541. (CC) gcc options: -O3 -march=native -lm

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 QuantUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS20K40K60K80K100KSE +/- 67.67, N = 3SE +/- 73.74, N = 3SE +/- 44.75, N = 3SE +/- 19.54, N = 3SE +/- 49.21, N = 390286.290878.090284.490079.290081.2
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS16K32K48K64K80KMin: 90181.1 / Avg: 90286.23 / Max: 90412.6Min: 90752.9 / Avg: 90878.03 / Max: 91008.2Min: 90195.2 / Avg: 90284.37 / Max: 90335.6Min: 90045.6 / Avg: 90079.2 / Max: 90113.3Min: 90009.9 / Avg: 90081.2 / Max: 90175.6

NAMD

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS0.22110.44220.66330.88441.1055SE +/- 0.00123, N = 3SE +/- 0.00086, N = 3SE +/- 0.00202, N = 3SE +/- 0.00123, N = 3SE +/- 0.00246, N = 30.977190.982680.978370.975960.98276
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 0.98 / Avg: 0.98 / Max: 0.98Min: 0.98 / Avg: 0.98 / Max: 0.98Min: 0.97 / Avg: 0.98 / Max: 0.98Min: 0.97 / Avg: 0.98 / Max: 0.98Min: 0.98 / Avg: 0.98 / Max: 0.99

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 V4Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS400K800K1200K1600K2000KSE +/- 309.86, N = 3SE +/- 222.29, N = 3SE +/- 399.62, N = 3SE +/- 655.01, N = 3SE +/- 214.89, N = 318572071863017186103018541701851357
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS300K600K900K1200K1500KMin: 1856610 / Avg: 1857206.67 / Max: 1857650Min: 1862630 / Avg: 1863016.67 / Max: 1863400Min: 1860530 / Avg: 1861030 / Max: 1861820Min: 1853380 / Avg: 1854170 / Max: 1855470Min: 1851010 / Avg: 1851356.67 / Max: 1851750

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS400K800K1200K1600K2000KSE +/- 425.79, N = 3SE +/- 581.84, N = 3SE +/- 412.81, N = 3SE +/- 229.13, N = 3SE +/- 500.48, N = 316423401650010164635316414101640133
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS300K600K900K1200K1500KMin: 1641760 / Avg: 1642340 / Max: 1643170Min: 1649350 / Avg: 1650010 / Max: 1651170Min: 1645550 / Avg: 1646353.33 / Max: 1646920Min: 1641110 / Avg: 1641410 / Max: 1641860Min: 1639400 / Avg: 1640133.33 / Max: 1641090

Crypto++

Crypto++ is a C++ class library of cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS150300450600750SE +/- 0.34, N = 3SE +/- 0.35, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.99, N = 3709.20711.24712.20710.62708.65-g2-g2-fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake-g2-g21. (CXX) g++ options: -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS130260390520650Min: 708.56 / Avg: 709.2 / Max: 709.73Min: 710.56 / Avg: 711.24 / Max: 711.68Min: 711.88 / Avg: 712.2 / Max: 712.52Min: 710.55 / Avg: 710.62 / Max: 710.71Min: 706.7 / Avg: 708.65 / Max: 709.91. (CXX) g++ options: -O3 -fPIC -pthread -pipe

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0openSUSE TumbleweedEndeavour OS246810SE +/- 0.018, N = 3SE +/- 0.315, N = 127.0437.701MIN: 6.91 / MAX: 7.5MIN: 5.18 / MAX: 8.391. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0openSUSE TumbleweedEndeavour OS3691215Min: 7.01 / Avg: 7.04 / Max: 7.07Min: 5.33 / Avg: 7.7 / Max: 8.291. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215SE +/- 0.02, N = 3SE +/- 0.32, N = 5SE +/- 0.03, N = 3SE +/- 0.28, N = 5SE +/- 0.40, N = 312.0111.3211.3211.8811.65-O3 - MIN: 11.92 / MAX: 12.12-O2 - MIN: 10.72 / MAX: 12.22-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 11.22 / MAX: 15.55-O3 - MIN: 11.5 / MAX: 13.11-O3 - MIN: 10.8 / MAX: 13.161. (CXX) g++ options: -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS3691215Min: 11.98 / Avg: 12.01 / Max: 12.03Min: 10.8 / Avg: 11.32 / Max: 12.11Min: 11.27 / Avg: 11.32 / Max: 11.38Min: 11.58 / Avg: 11.88 / Max: 12.98Min: 10.86 / Avg: 11.65 / Max: 12.081. (CXX) g++ options: -rdynamic -lgomp -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: MobileNetV2_224Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1.16892.33783.50674.67565.8445SE +/- 0.068, N = 9SE +/- 0.138, N = 3SE +/- 0.080, N = 15SE +/- 0.021, N = 3SE +/- 0.115, N = 125.1495.1954.4164.9935.186MIN: 4.51 / MAX: 6.34MIN: 4.72 / MAX: 5.58-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 3.51 / MAX: 5.35MIN: 4.64 / MAX: 5.35MIN: 4.03 / MAX: 5.911. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS246810Min: 4.68 / Avg: 5.15 / Max: 5.38Min: 4.92 / Avg: 5.2 / Max: 5.34Min: 3.79 / Avg: 4.42 / Max: 4.95Min: 4.96 / Avg: 4.99 / Max: 5.03Min: 4.17 / Avg: 5.19 / Max: 5.591. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS1020304050SE +/- 0.69, N = 9SE +/- 2.22, N = 3SE +/- 0.67, N = 15SE +/- 0.26, N = 3SE +/- 1.18, N = 1245.2441.5334.2740.2642.76MIN: 39.62 / MAX: 54.48MIN: 36.84 / MAX: 44.93-pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake - MIN: 28.55 / MAX: 36.93MIN: 34.58 / MAX: 40.92MIN: 33.81 / MAX: 47.421. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Ubuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780openSUSE TumbleweedEndeavour OS918273645Min: 41.61 / Avg: 45.24 / Max: 47.16Min: 37.11 / Avg: 41.53 / Max: 44.01Min: 28.79 / Avg: 34.27 / Max: 36.54Min: 39.81 / Avg: 40.26 / Max: 40.72Min: 33.97 / Avg: 42.76 / Max: 47.191. (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

Java Gradle Build

This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS60120180240300SE +/- 3.64, N = 3SE +/- 2.98, N = 7SE +/- 3.33, N = 3SE +/- 5.87, N = 9253.54275.41208.73251.39
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS50100150200250Min: 247.28 / Avg: 253.54 / Max: 259.89Min: 265.82 / Avg: 275.41 / Max: 290.31Min: 204.96 / Avg: 208.73 / Max: 215.36Min: 234.21 / Avg: 251.39 / Max: 291.42

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 ProteinUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS3691215SE +/- 0.061, N = 3SE +/- 0.259, N = 15SE +/- 0.126, N = 3SE +/- 0.113, N = 38.1939.32011.87611.920-O3-O2-O3 -pipe -fexceptions -fstack-protector -m64 -ffat-lto-objects -fno-trapping-math -mtune=skylake-O31. (CXX) g++ options: -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinUbuntu 20.10 20200929Fedora Workstation 33 BetaClear Linux 33780Endeavour OS3691215Min: 8.08 / Avg: 8.19 / Max: 8.29Min: 7.9 / Avg: 9.32 / Max: 10.89Min: 11.73 / Avg: 11.88 / Max: 12.13Min: 11.7 / Avg: 11.92 / Max: 12.081. (CXX) g++ options: -pthread -lm

158 Results Shown

DaCapo Benchmark
PyPerformance
oneDNN
DaCapo Benchmark
Algebraic Multi-Grid Benchmark
GIMP
Caffe
DaCapo Benchmark
Node.js Express HTTP Load Test
Caffe
PyPerformance
libavif avifenc
CP2K Molecular Dynamics
libavif avifenc
oneDNN
GIMP
PlaidML
PHPBench
PyPerformance
GIMP
PlaidML
Timed HMMer Search
PyPerformance
PlaidML
GIMP
LAMMPS Molecular Dynamics Simulator
PyPerformance:
  django_template
  crypto_pyaes
  pickle_pure_python
PyBench
PyPerformance
AI Benchmark Alpha
Basis Universal
GEGL
Basis Universal
Timed PHP Compilation
AI Benchmark Alpha
PyPerformance:
  go
  regex_compile
DaCapo Benchmark
AI Benchmark Alpha
oneDNN
Mobile Neural Network
Timed Linux Kernel Compilation
DeepSpeech
PyPerformance
oneDNN
SVT-AV1
PlaidML:
  No - Inference - ResNet 50 - CPU
  No - Inference - VGG19 - CPU
PyPerformance
Basis Universal
SVT-AV1
PyPerformance
SQLite Speedtest
Facebook RocksDB
WebP Image Encode
Mobile Neural Network
oneDNN
Facebook RocksDB
FFTE
Intel Open Image Denoise
LevelDB
Coremark
WebP Image Encode
PlaidML
oneDNN
Darktable
NCNN
LevelDB
GEGL
oneDNN
GEGL
NCNN
SVT-VP9
Basis Universal
Darktable
NCNN
TNN
libavif avifenc
NCNN
Facebook RocksDB
Appleseed
Basis Universal
libavif avifenc
LevelDB
NCNN
oneDNN
GEGL
RawTherapee
GEGL
NCNN:
  CPU - shufflenet-v2
  CPU - mnasnet
SVT-VP9
NCNN
Git
NCNN
ASTC Encoder:
  Medium
  Fast
High Performance Conjugate Gradient
Himeno Benchmark
Crafty
asmFish
WebP Image Encode
BRL-CAD
Darktable
oneDNN
NCNN
Facebook RocksDB
oneDNN:
  IP Batch All - f32 - CPU
  IP Batch 1D - f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
GROMACS
Kripke
oneDNN
OpenVKL
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
NCNN:
  CPU-v2-v2 - mobilenet-v2
  CPU - vgg16
Zstd Compression
Blender:
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
ASTC Encoder
PlaidML
Darktable
libjpeg-turbo tjbench
Blender
Appleseed
TNN
Appleseed
NCNN
oneDNN:
  IP Batch 1D - bf16bf16bf16 - CPU
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
Zstd Compression
Blender
TensorFlow Lite:
  NASNet Mobile
  SqueezeNet
oneDNN
Blender
ASTC Encoder
Dolfyn
OpenSSL
TensorFlow Lite
oneDNN
Hierarchical INTegration
TensorFlow Lite
NAMD
TensorFlow Lite:
  Inception V4
  Inception ResNet V2
Crypto++
Mobile Neural Network
NCNN
Mobile Neural Network:
  MobileNetV2_224
  resnet-v2-50
Java Gradle Build
LAMMPS Molecular Dynamics Simulator