Xeon Platinum Ubuntu 19.04

2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 19.04 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 2102095-HA-XEONPLATI27
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Ubuntu 19.04
February 08 2021
  16 Hours, 42 Minutes
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Ubuntu 19.04

Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 378GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

OS: Ubuntu 19.04, Kernel: 5.0.0-38-generic (x86_64), Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.4, OpenGL: 3.3 Mesa 19.0.8 (LLVM 8.0 256 bits), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c
Python Notes: Python 2.7.16 + Python 3.7.3
Security Notes: 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 + tsx_async_abort: Mitigation of TSX disabled

Xeon Platinum Ubuntu 19.04OpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads)GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS)Intel Sky Lake-E DMI3 Registers378GB280GB INTEL SSDPED1D280GAllvmpipe2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbEUbuntu 19.045.0.0-38-generic (x86_64)GNOME Shell 3.32.2X Server 1.20.43.3 Mesa 19.0.8 (LLVM 8.0 256 bits)GCC 8.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionXeon Platinum Ubuntu 19.04 BenchmarksSystem Logs- Transparent Huge Pages: madvise- CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c- Python 2.7.16 + Python 3.7.3- 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 + tsx_async_abort: Mitigation of TSX disabled

Xeon Platinum Ubuntu 19.04qe: AUSURF112openvkl: vklBenchmarkopenvkl: vklBenchmarkUnstructuredVolumeyafaray: Total Time For Sample Scenengspice: C2670webp2: Quality 75, Compression Effort 7plaidml: No - Inference - VGG19 - CPUplaidml: No - Inference - ResNet 50 - CPUcaffe: AlexNet - CPU - 200mysqlslap: 256mysqlslap: 512onednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUmysqlslap: 128lammps: 20k Atomstensorflow-lite: Inception ResNet V2luxcorerender: Rainbow Colors and Prismtensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Quanttensorflow-lite: Inception V4rodinia: OpenMP Leukocyteopenvkl: vklBenchmarkStructuredVolumewebp2: Quality 95, Compression Effort 7openfoam: Motorbike 60Mtensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floatcaffe: GoogleNet - CPU - 200hmmer: Pfam Database Searchnumpy: mocassin: Dust 2D tau100.0hpcg: kripke: neat: incompact3d: Cylindersvt-av1: Enc Mode 0 - 1080prodinia: OpenMP HotSpot3Dngspice: C7552appleseed: Material Testeronnx: fcn-resnet101-11 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUonnx: yolov4 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUnode-web-tooling: mrbayes: Primate Phylogeny Analysisappleseed: Emilypyperformance: python_startupblender: Classroom - CPU-Onlyfinancebench: Bonds OpenMPaskap: Hogbom Clean OpenMPplaidml: No - Inference - VGG16 - CPUpyperformance: raytraceredis: SETv-ray: CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUredis: GETredis: LPOPopenvkl: vklBenchmarkVdbVolumepyperformance: 2to3sqlite-speedtest: Timed Time - Size 1,000indigobench: CPU - Bedroomfinancebench: Repo OpenMPindigobench: CPU - Supercarluxcorerender: DLSCredis: SADDrodinia: OpenMP LavaMDpyperformance: goonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUappleseed: Disney Materialhimeno: Poisson Pressure Solverpgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlyaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddinggromacs: Water Benchmarknamd: ATPase Simulation - 327,506 Atomsblender: BMW27 - CPU-Onlyqmcpack: simple-H2Orodinia: OpenMP CFD Solverkvazaar: Bosphorus 4K - Very Fastpyperformance: regex_compilepgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlynpb: EP.Dpgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Writeopenfoam: Motorbike 30Mquantlib: onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUlibraw: Post-Processing Benchmarkpyperformance: pathlibphpbench: PHP Benchmark Suitex265: Bosphorus 4Ksynthmark: VoiceMark_100pyperformance: pickle_pure_pythonpyperformance: django_templatepyperformance: json_loadstnn: CPU - MobileNet v2pybench: Total For Average Test Timestnn: CPU - SqueezeNet v1.1dolfyn: Computational Fluid Dynamicspyperformance: chaospyperformance: nbodypennant: sedovbigpyperformance: crypto_pyaesamg: onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUarrayfire: Conjugate Gradient CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUkvazaar: Bosphorus 4K - Ultra Fastpyperformance: floatwebp: Quality 100, Losslesssvt-av1: Enc Mode 4 - 1080px265: Bosphorus 1080predis: LPUSHnpb: LU.Conednn: IP Shapes 1D - bf16bf16bf16 - CPUarrayfire: BLAS CPUmafft: Multiple Sequence Alignment - LSU RNAsvt-av1: Enc Mode 8 - 1080pmt-dgemm: Sustained Floating-Point Rateonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUrodinia: OpenMP Streamclusterpennant: leblancbigonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUkvazaar: Bosphorus 1080p - Very Fastwebp2: Quality 100, Compression Effort 5webp: Quality 100, Highest Compressiononednn: Convolution Batch Shapes Auto - u8s8f32 - CPUoidn: Memorialkvazaar: Bosphorus 1080p - Ultra Fastsvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080ponednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUwebp: Quality 100lammps: Rhodopsin ProteinUbuntu 19.041417.324561993357223.468163.824133.44323.494.7282612499521934.342576.48859926.65410115587.2767294.457234.6110208362.06475077913248.917168.52104739.153606.7225798212.287344.6318929.03959350257732.958150.9552000.138114.036135.573193.0101151384023176156641010.03110.047157.87455211.3104.2288678.114584615.30628.214681747022.3947419923.5341.33794558.1262201881.922338189.982481276734064.9078.41951894.80468719.9307.361901359.6555.8882402.232271.0907069.3196693994.5041770.38664907012085.010262.15.7740.3659738.3836.7257.26016.881730.1158737574069.105.771434522.2584435221.002296.20.33199138.6118.763317719.28535.51244554.126.1365.9971080329.55522.89210911621.8275210914884320004.583328.4830.39140928.6310319.2408.21234.501486892.54140470.313.708413460.9213.04960.76018.7188910.81479911.9608.4620183.1736068.078.4747.3933.6870335.47122.90222.78258.83267.364.452970.3313902.49027.906OpenBenchmarking.org

Quantum ESPRESSO

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112Ubuntu 19.0430060090012001500SE +/- 60.78, N = 41417.321. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 19.04100200300400500SE +/- 4.20, N = 9456MIN: 1 / MAX: 1812

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeUbuntu 19.04400K800K1200K1600K2000KSE +/- 2118.45, N = 31993357MIN: 20783 / MAX: 6493629

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneUbuntu 19.0450100150200250SE +/- 16.23, N = 12223.471. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lboost_system -lboost_filesystem -lboost_locale

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670Ubuntu 19.044080120160200SE +/- 1.27, N = 12163.821. (CC) gcc options: -O3 -march=native -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 75, Compression Effort 7Ubuntu 19.04306090120150SE +/- 1.20, N = 12133.441. (CXX) g++ options: -O3 -march=native -fno-rtti -rdynamic -lOpenGL -lGLX -lGLU -lglut -lXmu -lXi -lpthread -ljpeg

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: VGG19 - Device: CPUUbuntu 19.04612182430SE +/- 0.25, N = 1523.49

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUUbuntu 19.041.0622.1243.1864.2485.31SE +/- 0.01, N = 34.72

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 19.0420K40K60K80K100KSE +/- 2840.64, N = 15826121. (CXX) g++ options: -O3 -march=native -fPIC -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 256Ubuntu 19.04110220330440550SE +/- 1.09, N = 34991. (CXX) g++ options: -O3 -march=native -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lcrypt -lz -lm -lssl -lcrypto -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 512Ubuntu 19.04110220330440550SE +/- 0.18, N = 35211. (CXX) g++ options: -O3 -march=native -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lcrypt -lz -lm -lssl -lcrypto -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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUUbuntu 19.042004006008001000SE +/- 5.96, N = 15934.34MIN: 905.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.04120240360480600SE +/- 9.03, N = 15576.49MIN: 541.141. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.5.2Clients: 128Ubuntu 19.04130260390520650SE +/- 2.90, N = 35991. (CXX) g++ options: -O3 -march=native -pie -fPIC -fstack-protector -O2 -lpthread -llzma -lbz2 -lsnappy -lnuma -lcrypt -lz -lm -lssl -lcrypto -ldl

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 29Oct2020Model: 20k AtomsUbuntu 19.04612182430SE +/- 0.03, N = 326.651. (CXX) g++ options: -O3 -march=native -pthread -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: Inception ResNet V2Ubuntu 19.04200K400K600K800K1000KSE +/- 17126.87, N = 151011558

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismUbuntu 19.04246810SE +/- 0.33, N = 157.27MIN: 4.37 / MAX: 8.24

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: SqueezeNetUbuntu 19.0414K28K42K56K70KSE +/- 669.07, N = 1567294.4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantUbuntu 19.0412K24K36K48K60KSE +/- 727.18, N = 1557234.6

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Ubuntu 19.04200K400K600K800K1000KSE +/- 7251.55, N = 141102083

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteUbuntu 19.041428425670SE +/- 0.71, N = 1362.061. (CXX) g++ options: -O2 -lOpenCL

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: vklBenchmarkStructuredVolumeUbuntu 19.0416M32M48M64M80MSE +/- 1084350.33, N = 1575077913MIN: 1073646 / MAX: 803527920

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 95, Compression Effort 7Ubuntu 19.0450100150200250SE +/- 1.25, N = 3248.921. (CXX) g++ options: -O3 -march=native -fno-rtti -rdynamic -lOpenGL -lGLX -lGLU -lglut -lXmu -lXi -lpthread -ljpeg

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MUbuntu 19.044080120160200SE +/- 0.34, N = 3168.521. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -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: NASNet MobileUbuntu 19.0420K40K60K80K100KSE +/- 2444.48, N = 12104739.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatUbuntu 19.0411K22K33K44K55KSE +/- 675.73, N = 1253606.7

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 19.0450K100K150K200K250KSE +/- 1675.73, N = 32257981. (CXX) g++ options: -O3 -march=native -fPIC -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 19.0450100150200250SE +/- 0.20, N = 3212.291. (CC) gcc options: -O3 -march=native -pthread -lhmmer -leasel -lm

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkUbuntu 19.0470140210280350SE +/- 1.31, N = 3344.63

Monte Carlo Simulations of Ionised Nebulae

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Ubuntu 19.0440801201602001891. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 19.04714212835SE +/- 0.15, N = 329.041. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

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 19.0420M40M60M80M100MSE +/- 1474539.43, N = 15935025771. (CXX) g++ options: -O3 -march=native -fopenmp

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Ubuntu 19.04816243240SE +/- 0.26, N = 1532.961. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderUbuntu 19.04306090120150SE +/- 0.61, N = 3150.961. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 0 - Input: 1080pUbuntu 19.040.03110.06220.09330.12440.1555SE +/- 0.000, N = 30.1381. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DUbuntu 19.04306090120150SE +/- 1.32, N = 4114.041. (CXX) g++ options: -O2 -lOpenCL

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552Ubuntu 19.04306090120150SE +/- 1.71, N = 3135.571. (CC) gcc options: -O3 -march=native -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

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 19.044080120160200193.01

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUUbuntu 19.04306090120150SE +/- 0.58, N = 31381. (CXX) g++ options: -O3 -march=native -fopenmp -ffunction-sections -fdata-sections -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUUbuntu 19.0490180270360450SE +/- 2.57, N = 34021. (CXX) g++ options: -O3 -march=native -fopenmp -ffunction-sections -fdata-sections -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUUbuntu 19.0470140210280350SE +/- 3.24, N = 33171. (CXX) g++ options: -O3 -march=native -fopenmp -ffunction-sections -fdata-sections -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUUbuntu 19.0413002600390052006500SE +/- 35.31, N = 361561. (CXX) g++ options: -O3 -march=native -fopenmp -ffunction-sections -fdata-sections -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUUbuntu 19.0414002800420056007000SE +/- 33.38, N = 364101. (CXX) g++ options: -O3 -march=native -fopenmp -ffunction-sections -fdata-sections -ldl -lrt

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkUbuntu 19.043691215SE +/- 0.12, N = 410.031. Nodejs v10.15.2

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisUbuntu 19.0420406080100SE +/- 0.25, N = 3110.051. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mrdrnd -mbmi -mbmi2 -madx -mmpx -mabm -O3 -std=c99 -pedantic -march=native -lm

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyUbuntu 19.04306090120150157.87

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 19.043691215SE +/- 0.00, N = 311.3

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 19.0420406080100SE +/- 0.38, N = 3104.22

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPUbuntu 19.0420K40K60K80K100KSE +/- 101.32, N = 388678.111. (CXX) g++ options: -O3 -march=native -fopenmp

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPUbuntu 19.04130260390520650SE +/- 17.36, N = 15615.311. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 19.04714212835SE +/- 0.19, N = 328.21

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 19.04100200300400500SE +/- 0.33, N = 3468

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETUbuntu 19.04400K800K1200K1600K2000KSE +/- 30273.24, N = 151747022.391. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=native

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5Mode: CPUUbuntu 19.0410K20K30K40K50KSE +/- 166.62, N = 347419

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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.042004006008001000SE +/- 0.79, N = 3923.53MIN: 910.011. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.3010.6020.9031.2041.505SE +/- 0.00870, N = 151.33794MIN: 1.091. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUUbuntu 19.04120240360480600SE +/- 5.67, N = 3558.13MIN: 543.231. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETUbuntu 19.04500K1000K1500K2000K2500KSE +/- 70535.69, N = 152201881.921. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=native

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPUbuntu 19.04500K1000K1500K2000K2500KSE +/- 68474.33, N = 152338189.981. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=native

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: vklBenchmarkVdbVolumeUbuntu 19.045M10M15M20M25MSE +/- 70798.88, N = 324812767MIN: 868934 / MAX: 162479232

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 19.0470140210280350340

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 19.041428425670SE +/- 0.15, N = 364.911. (CC) gcc options: -O3 -march=native -ldl -lz -lpthread

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomUbuntu 19.04246810SE +/- 0.031, N = 38.419

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPUbuntu 19.0411K22K33K44K55KSE +/- 498.18, N = 351894.801. (CXX) g++ options: -O3 -march=native -fopenmp

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarUbuntu 19.04510152025SE +/- 0.04, N = 319.93

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCUbuntu 19.04246810SE +/- 0.01, N = 37.36MIN: 7.25 / MAX: 7.66

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDUbuntu 19.04400K800K1200K1600K2000KSE +/- 39203.08, N = 121901359.651. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=native

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDUbuntu 19.041326395265SE +/- 0.55, N = 355.891. (CXX) g++ options: -O2 -lOpenCL

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 19.0450100150200250240

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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.040.50231.00461.50692.00922.5115SE +/- 0.05726, N = 152.23227MIN: 2.051. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.24540.49080.73620.98161.227SE +/- 0.00937, N = 151.09070MIN: 0.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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: Disney MaterialUbuntu 19.04153045607569.32

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 19.049001800270036004500SE +/- 0.36, N = 33994.501. (CC) gcc options: -O3 -march=native -mavx2

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyUbuntu 19.040.08690.17380.26070.34760.4345SE +/- 0.004, N = 40.3861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyUbuntu 19.04140K280K420K560K700KSE +/- 7278.19, N = 46490701. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingUbuntu 19.043K6K9K12K15KSE +/- 78.97, N = 312085.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingUbuntu 19.042K4K6K8K10KSE +/- 66.19, N = 310262.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 19.041.29922.59843.89765.19686.496SE +/- 0.014, N = 35.7741. (CXX) g++ options: -O3 -march=native -pthread -lrt -lpthread -lm

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 19.040.08230.16460.24690.32920.4115SE +/- 0.00094, N = 30.36597

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 19.04918273645SE +/- 0.17, N = 338.38

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.10Input: simple-H2OUbuntu 19.04816243240SE +/- 0.07, N = 336.731. (CXX) g++ options: -O3 -march=native -fopenmp -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -fomit-frame-pointer -ffast-math -lm -pthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverUbuntu 19.04246810SE +/- 0.090, N = 157.2601. (CXX) g++ options: -O2 -lOpenCL

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastUbuntu 19.0448121620SE +/- 0.05, N = 316.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O3 -march=native -lpthread -lm -lrt

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileUbuntu 19.044080120160200173

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyUbuntu 19.040.02590.05180.07770.10360.1295SE +/- 0.000, N = 30.1151. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyUbuntu 19.04200K400K600K800K1000KSE +/- 2996.12, N = 38737571. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DUbuntu 19.049001800270036004500SE +/- 18.13, N = 34069.101. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyUbuntu 19.041.29852.5973.89555.1946.4925SE +/- 0.037, N = 35.7711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteUbuntu 19.049K18K27K36K45KSE +/- 269.58, N = 3434521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyUbuntu 19.040.50811.01621.52432.03242.5405SE +/- 0.007, N = 32.2581. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteUbuntu 19.049K18K27K36K45KSE +/- 132.51, N = 3443521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O3 -march=native -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MUbuntu 19.04510152025SE +/- 0.07, N = 321.001. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21Ubuntu 19.045001000150020002500SE +/- 10.45, N = 32296.21. (CXX) g++ options: -O3 -march=native -rdynamic -lboost_timer -lboost_system -lboost_chrono

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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.07470.14940.22410.29880.3735SE +/- 0.002873, N = 80.331991MIN: 0.271. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkUbuntu 19.04918273645SE +/- 0.05, N = 338.611. (CXX) g++ options: -O3 -march=native -fopenmp -ljpeg -lz -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: pathlibUbuntu 19.04510152025SE +/- 0.00, N = 318.7

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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteUbuntu 19.04140K280K420K560K700KSE +/- 321.84, N = 3633177

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KUbuntu 19.04510152025SE +/- 0.19, N = 319.281. (CXX) g++ options: -O3 -march=native -rdynamic -lpthread -lrt -ldl -lnuma

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100Ubuntu 19.04120240360480600SE +/- 0.56, N = 3535.511. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonUbuntu 19.04100200300400500445

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateUbuntu 19.041224364860SE +/- 0.07, N = 354.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsUbuntu 19.04612182430SE +/- 0.00, N = 326.1

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 19.0480160240320400SE +/- 1.21, N = 3366.00MIN: 354.49 / MAX: 501.681. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

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 19.042004006008001000SE +/- 2.52, N = 31080

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 19.0470140210280350SE +/- 0.06, N = 3329.56MIN: 329.04 / MAX: 331.161. (CXX) g++ options: -O3 -march=native -fopenmp -pthread -fvisibility=hidden -rdynamic -ldl

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 19.04510152025SE +/- 0.04, N = 322.89

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 19.0420406080100109

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyUbuntu 19.04306090120150116

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigUbuntu 19.04510152025SE +/- 0.02, N = 321.831. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesUbuntu 19.0420406080100109

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 Benchmark 1.2Ubuntu 19.04300M600M900M1200M1500MSE +/- 6349082.45, N = 314884320001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.041.03122.06243.09364.12485.156SE +/- 0.00382, N = 34.58332MIN: 4.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUUbuntu 19.04246810SE +/- 0.739, N = 158.4831. (CXX) g++ options: -O3 -march=native -rdynamic

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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.08810.17620.26430.35240.4405SE +/- 0.000442, N = 30.391409MIN: 0.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastUbuntu 19.04714212835SE +/- 0.22, N = 328.631. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O3 -march=native -lpthread -lm -lrt

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 19.0420406080100103

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 19.04510152025SE +/- 0.01, N = 319.241. (CC) gcc options: -fvisibility=hidden -O3 -march=native -pthread -lm -lpng16 -ljpeg

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 19.04246810SE +/- 0.016, N = 38.2121. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pUbuntu 19.04816243240SE +/- 0.14, N = 334.501. (CXX) g++ options: -O3 -march=native -rdynamic -lpthread -lrt -ldl -lnuma

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHUbuntu 19.04300K600K900K1200K1500KSE +/- 12883.11, N = 31486892.541. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3 -march=native

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CUbuntu 19.0430K60K90K120K150KSE +/- 278.43, N = 3140470.311. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 3.1.3

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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.040.83441.66882.50323.33764.172SE +/- 0.00380, N = 33.70841MIN: 3.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUUbuntu 19.047001400210028003500SE +/- 4.47, N = 33460.921. (CXX) g++ options: -O3 -march=native -rdynamic

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAUbuntu 19.043691215SE +/- 0.18, N = 313.051. (CC) gcc options: -std=c99 -O3 -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 8 - Input: 1080pUbuntu 19.041428425670SE +/- 0.48, N = 360.761. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateUbuntu 19.04510152025SE +/- 0.08, N = 318.721. (CC) gcc options: -O3 -march=native -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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.040.18330.36660.54990.73320.9165SE +/- 0.001869, N = 30.814799MIN: 0.761. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterUbuntu 19.043691215SE +/- 0.02, N = 311.961. (CXX) g++ options: -O2 -lOpenCL

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigUbuntu 19.04246810SE +/- 0.013902, N = 38.4620181. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.040.71411.42822.14232.85643.5705SE +/- 0.01090, N = 33.17360MIN: 2.941. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastUbuntu 19.041530456075SE +/- 0.59, N = 368.071. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O3 -march=native -lpthread -lm -lrt

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Compression Effort 5Ubuntu 19.04246810SE +/- 0.005, N = 38.4741. (CXX) g++ options: -O3 -march=native -fno-rtti -rdynamic -lOpenGL -lGLX -lGLU -lglut -lXmu -lXi -lpthread -ljpeg

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 19.04246810SE +/- 0.006, N = 37.3931. (CC) gcc options: -fvisibility=hidden -O3 -march=native -pthread -lm -lpng16 -ljpeg

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 Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.82961.65922.48883.31844.148SE +/- 0.00220, N = 33.68703MIN: 3.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 19.04816243240SE +/- 0.41, N = 335.47

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastUbuntu 19.04306090120150SE +/- 0.68, N = 3122.901. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O3 -march=native -lpthread -lm -lrt

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pUbuntu 19.0450100150200250SE +/- 2.60, N = 3222.781. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pUbuntu 19.0460120180240300SE +/- 3.52, N = 3258.831. (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 19.0460120180240300SE +/- 3.58, N = 3267.361. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUUbuntu 19.041.00192.00383.00574.00765.0095SE +/- 0.00670, N = 34.45297MIN: 4.41. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUUbuntu 19.040.07460.14920.22380.29840.373SE +/- 0.002349, N = 30.331390MIN: 0.321. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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 100Ubuntu 19.040.56031.12061.68092.24122.8015SE +/- 0.004, N = 32.4901. (CC) gcc options: -fvisibility=hidden -O3 -march=native -pthread -lm -lpng16 -ljpeg

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 29Oct2020Model: Rhodopsin ProteinUbuntu 19.04714212835SE +/- 0.06, N = 327.911. (CXX) g++ options: -O3 -march=native -pthread -lm

143 Results Shown

Quantum ESPRESSO
OpenVKL:
  vklBenchmark
  vklBenchmarkUnstructuredVolume
YafaRay
Ngspice
WebP2 Image Encode
PlaidML:
  No - Inference - VGG19 - CPU
  No - Inference - ResNet 50 - CPU
Caffe
MariaDB:
  256
  512
oneDNN:
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
MariaDB
LAMMPS Molecular Dynamics Simulator
TensorFlow Lite
LuxCoreRender
TensorFlow Lite:
  SqueezeNet
  Mobilenet Quant
  Inception V4
Rodinia
OpenVKL
WebP2 Image Encode
OpenFOAM
TensorFlow Lite:
  NASNet Mobile
  Mobilenet Float
Caffe
Timed HMMer Search
Numpy Benchmark
Monte Carlo Simulations of Ionised Nebulae
High Performance Conjugate Gradient
Kripke
Nebular Empirical Analysis Tool
Incompact3D
SVT-AV1
Rodinia
Ngspice
Appleseed
ONNX Runtime:
  fcn-resnet101-11 - OpenMP CPU
  bertsquad-10 - OpenMP CPU
  yolov4 - OpenMP CPU
  shufflenet-v2-10 - OpenMP CPU
  super-resolution-10 - OpenMP CPU
Node.js V8 Web Tooling Benchmark
Timed MrBayes Analysis
Appleseed
PyPerformance
Blender
FinanceBench
ASKAP
PlaidML
PyPerformance
Redis
Chaos Group V-RAY
oneDNN:
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
Redis:
  GET
  LPOP
OpenVKL
PyPerformance
SQLite Speedtest
IndigoBench
FinanceBench
IndigoBench
LuxCoreRender
Redis
Rodinia
PyPerformance
oneDNN:
  IP Shapes 3D - bf16bf16bf16 - CPU
  IP Shapes 3D - u8s8f32 - CPU
Appleseed
Himeno Benchmark
PostgreSQL pgbench:
  100 - 250 - Read Only - Average Latency
  100 - 250 - Read Only
ASKAP:
  tConvolve MPI - Gridding
  tConvolve MPI - Degridding
GROMACS
NAMD
Blender
QMCPACK
Rodinia
Kvazaar
PyPerformance
PostgreSQL pgbench:
  100 - 100 - Read Only - Average Latency
  100 - 100 - Read Only
NAS Parallel Benchmarks
PostgreSQL pgbench:
  100 - 250 - Read Write - Average Latency
  100 - 250 - Read Write
  100 - 100 - Read Write - Average Latency
  100 - 100 - Read Write
OpenFOAM
QuantLib
oneDNN
LibRaw
PyPerformance
PHPBench
x265
Google SynthMark
PyPerformance:
  pickle_pure_python
  django_template
  json_loads
TNN
PyBench
TNN
Dolfyn
PyPerformance:
  chaos
  nbody
Pennant
PyPerformance
Algebraic Multi-Grid Benchmark
oneDNN
ArrayFire
oneDNN
Kvazaar
PyPerformance
WebP Image Encode
SVT-AV1
x265
Redis
NAS Parallel Benchmarks
oneDNN
ArrayFire
Timed MAFFT Alignment
SVT-AV1
ACES DGEMM
oneDNN
Rodinia
Pennant
oneDNN
Kvazaar
WebP2 Image Encode
WebP Image Encode
oneDNN
Intel Open Image Denoise
Kvazaar
SVT-VP9:
  Visual Quality Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
oneDNN:
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
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LAMMPS Molecular Dynamics Simulator

Ubuntu 19.04

Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 378GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE

OS: Ubuntu 19.04, Kernel: 5.0.0-38-generic (x86_64), Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.4, OpenGL: 3.3 Mesa 19.0.8 (LLVM 8.0 256 bits), Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Environment Notes: CXXFLAGS="-O3 -march=native" CFLAGS="-O3 -march=native"
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x500002c
Python Notes: Python 2.7.16 + Python 3.7.3
Security Notes: 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 + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 8 February 2021 12:50 by user phoronix.