CompuLab Airtop 3

Intel Xeon E-2288G testing with a Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS) and NVIDIA Quadro RTX 4000 8GB on Ubuntu 20.10 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 2011040-FI-COMPULABA81
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October 31 2020
  13 Hours, 46 Minutes
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November 02 2020
  13 Hours, 25 Minutes
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November 03 2020
  14 Hours, 45 Minutes
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1

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 2304
Java Notes: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
Security Notes: 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: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

2

Processor: Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads), Motherboard: Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 64GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: NVIDIA Quadro RTX 4000 8GB (1005/6500MHz), Audio: Intel Cannon Lake PCH cAVS, Monitor: VE228, Network: Intel I219-LM + Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

3

Changed Graphics to NVIDIA Quadro RTX 4000 8GB (300/405MHz).

CompuLab Airtop 3ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen Resolution123Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads)Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS)Intel Cannon Lake PCH64GBSamsung SSD 970 EVO Plus 250GBNVIDIA Quadro RTX 4000 8GB (1005/6500MHz)Intel Cannon Lake PCH cAVSVE228Intel I219-LM + Intel I210Ubuntu 20.105.8.0-26-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9NVIDIA 455.284.6.0OpenCL 1.2 CUDA 11.1.961.2.142GCC 10.2.0ext41920x1080NVIDIA Quadro RTX 4000 8GB (300/405MHz)OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3OpenCL Details- GPU Compute Cores: 2304Java Details- OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)Python Details- Python 3.8.6Security Details- 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: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

123Result OverviewPhoronix Test Suite100%134%168%202%236%RodiniaFFTEIncompact3DNAMDLeelaChessZeroOCRMyPDFLAMMPS Molecular Dynamics SimulatorDaCapo BenchmarkPostgreSQL pgbenchKvazaaroneDNNNeatBenchDolfynx265OpenSSLLibRawNCNNdav1dBYTE Unix BenchmarkWireGuard + Linux Networking Stack Stress TestJava Gradle BuildInfluxDBSunflow Rendering SystemBlenderTesseract OCRGROMACSASTC EncoderTimed HMMer SearchTensorFlow LiteRawTherapeeTNNHierarchical INTegrationKeyDBlibavif avifencPyPerformanceAOM AV1BRL-CADWebP Image EncodeRNNoiseCaffe

CompuLab Airtop 3wireguard: lczero: BLASlczero: Eigenrodinia: OpenMP LavaMDrodinia: OpenCL Myocyterodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchincompact3d: Cylinderlammps: 20k Atomslammps: Rhodopsin Proteinwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionjava-gradle-perf: Reactordacapobench: H2dacapobench: Jythondacapobench: Tradesoapdacapobench: Tradebeansbyte: Dhrystone 2libraw: Post-Processing Benchmarkonednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch All - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimekvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastx265: Bosphorus 4Kx265: Bosphorus 1080pavifenc: 0avifenc: 2avifenc: 8avifenc: 10build-linux-kernel: Time To Compilebuild-llvm: Time To Compilernnoise: openssl: RSA 4096-bit Performancekeydb: gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2pgbench: 1 - 1 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Writepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 50 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 100 - Read Onlypgbench: 1 - 100 - Read Only - Average Latencypgbench: 1 - 250 - Read Onlypgbench: 1 - 250 - Read Only - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 100 - Read Writepgbench: 1 - 100 - Read Write - Average Latencypgbench: 1 - 250 - Read Writepgbench: 1 - 250 - Read Write - Average Latencyastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustiveocrmypdf: Processing 60 Page PDF Documentrawtherapee: Total Benchmark Timecaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1blender: BMW27 - CPU-Onlyblender: BMW27 - NVIDIA OptiXblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - CPU-Onlyblender: Pabellon Barcelona - NVIDIA OptiXpyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonhint: FLOATneatbench: CPUneatbench: GPUsunflow: Global Illumination + Image Synthesistesseract-ocr: Time To OCR 7 Imagesbrl-cad: VGR Performance Metricinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000123160.513844751276.21534.78692.668140.31322.64919.5631.9445316.83331760.023038312100.123378.4786585.8516.6001.3132.07715.6136.38534.700197.762286437093652269048134384.733.314.4962768.05251.8010327.636417.11834.896516.6426116.44185.705943.58701321.803149.6183.999112.58081639.97156.40581.34114.550.332.7223.544.3045.924.154.2118.2418.6911.9521.8746.7387.1612.3754.4999.66958.6645.0224.75798.182771.20721.5872431.8737463.310.82022785232693532010151539191572502954177334140.034802.0842894010.1732744630.3652546780.98261181.865568176.126599419.7255.538.4833.33274.7222.02461.749400958027310378620790216.1019.305.114.063.213.926.691.4614.9967.2215.2014.3828.8028.703.664.631.451.671.301.482.670.613.538.361.682.103.778.67286.035269.712186.6427.90584.98271.16787.85104.1154.931312.28651.27145.4720026485.790.010314.437421.385.81386.8038.6338472824990.6232510.929.41.13820.134999771507808.81534293.61535930.8158.360837762273.15534.51489.729138.38922.74019.6311.9384716.71131509.634098231100.236377.5572415.9096.8051.3152.07615.6036.38634.844199.454292536983550264548808319.133.664.1315368.99941.8057127.370717.13974.673926.4734916.74415.593573.24189326.960139.8714.069702.57926647.74160.47582.13116.360.332.7223.444.2946.264.174.2318.5818.9212.0522.4548.2492.5312.3956.1499.27358.3994.9954.73898.147762.88421.5932467.9736916.330.81522623932607101995041532211562992946580332670.0304292.4122960880.1692812910.3562514290.99559683.886578173.120591424.2575.528.4433.24273.4621.06761.854397597992210334920788916.1019.225.134.073.173.916.681.4515.0966.6015.4914.3328.9129.583.654.581.421.681.311.482.650.623.228.321.722.083.748.32287.559269.656186.1927.76587.97269.67783.83103.4254.711264.86650.83144.8719926185.890.010314.337521.285.81376.7438.9339474322870.4901610.830.51.13220.315998321526391.31543312.51557794.2159.753809671296.26935.760213.515214.308265.62469.3742.6296817.02719217.721194045100.832605.8896695.9056.3221.3182.07815.6946.38234.612197.054277537183704280148679363.333.874.1312968.59481.8670627.347317.19674.707566.6117216.60465.706903.30402324.335136.1513.876142.58232641.98156.84579.67113.410.332.7223.364.2745.784.154.2018.1118.6911.9121.9246.7987.1812.3454.4299.34158.6645.0174.73321.5972474.6734176.590.82122759932704332012651543621577192957670325790.0314422.3122919950.1712780190.3602493481.00460482.733578173.239557449.1145.558.5533.34275.5922.09462.124403158050710390320826416.3819.235.314.203.264.176.851.5015.3867.8215.6114.7229.2029.073.664.771.461.681.311.502.650.633.238.421.662.093.768.70284.025269.435186.8727.86584.40270.29787.49104.6955.231325.38650.06145.7920026186.190.110314.537721.285.91396.7539.2339471834576.3471910.930.61.12720.224997921508093.51530241.01539617.5OpenBenchmarking.org

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress Test3214080120160200SE +/- 0.79, N = 3SE +/- 0.95, N = 3SE +/- 0.83, N = 3159.75158.36160.51
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress Test321306090120150Min: 158.37 / Avg: 159.75 / Max: 161.09Min: 156.69 / Avg: 158.36 / Max: 159.99Min: 159.13 / Avg: 160.51 / Max: 162

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS3212004006008001000SE +/- 10.82, N = 38098378441. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS321150300450600750Min: 823 / Avg: 844 / Max: 8591. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen321160320480640800SE +/- 13.55, N = 9SE +/- 4.63, N = 3SE +/- 8.19, N = 36717627511. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen321130260390520650Min: 609 / Avg: 670.89 / Max: 722Min: 754 / Avg: 762.33 / Max: 770Min: 740 / Avg: 751 / Max: 7671. (CXX) g++ options: -flto -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 LavaMD32160120180240300SE +/- 3.61, N = 3SE +/- 0.19, N = 3SE +/- 1.21, N = 3296.27273.16276.221. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD32150100150200250Min: 291.76 / Avg: 296.27 / Max: 303.41Min: 272.86 / Avg: 273.15 / Max: 273.52Min: 273.93 / Avg: 276.21 / Max: 278.071. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Myocyte321816243240SE +/- 0.36, N = 8SE +/- 0.05, N = 3SE +/- 0.13, N = 335.7634.5134.791. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Myocyte321816243240Min: 34.76 / Avg: 35.76 / Max: 37.7Min: 34.43 / Avg: 34.51 / Max: 34.6Min: 34.65 / Avg: 34.79 / Max: 35.051. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D32150100150200250SE +/- 13.20, N = 12SE +/- 1.37, N = 3SE +/- 1.38, N = 3213.5289.7392.671. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D3214080120160200Min: 112.13 / Avg: 213.51 / Max: 250.91Min: 88.17 / Avg: 89.73 / Max: 92.47Min: 90.04 / Avg: 92.67 / Max: 94.721. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte32150100150200250SE +/- 0.84, N = 3SE +/- 0.74, N = 3SE +/- 1.02, N = 3214.31138.39140.311. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte3214080120160200Min: 213.19 / Avg: 214.31 / Max: 215.96Min: 136.96 / Avg: 138.39 / Max: 139.41Min: 138.61 / Avg: 140.31 / Max: 142.131. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver32160120180240300SE +/- 37.41, N = 7SE +/- 0.15, N = 3SE +/- 0.23, N = 3265.6222.7422.651. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver32150100150200250Min: 44.22 / Avg: 265.62 / Max: 329.01Min: 22.5 / Avg: 22.74 / Max: 23.02Min: 22.23 / Avg: 22.65 / Max: 23.041. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster3211530456075SE +/- 7.66, N = 12SE +/- 0.08, N = 3SE +/- 0.06, N = 369.3719.6319.561. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster3211326395265Min: 21.89 / Avg: 69.37 / Max: 90.86Min: 19.48 / Avg: 19.63 / Max: 19.73Min: 19.48 / Avg: 19.56 / Max: 19.691. (CXX) g++ options: -O2 -lOpenCL

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 Atoms3210.59171.18341.77512.36682.9585SE +/- 0.04166, N = 3SE +/- 0.00297, N = 3SE +/- 0.00650, N = 32.629681.938471.94453
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms321246810Min: 2.55 / Avg: 2.63 / Max: 2.7Min: 1.94 / Avg: 1.94 / Max: 1.94Min: 1.93 / Avg: 1.94 / Max: 1.95

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 Dynamics32148121620SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 317.0316.7116.83
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics32148121620Min: 16.87 / Avg: 17.03 / Max: 17.12Min: 16.66 / Avg: 16.71 / Max: 16.76Min: 16.66 / Avg: 16.83 / Max: 17.06

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 Routine3217K14K21K28K35KSE +/- 122.08, N = 3SE +/- 21.47, N = 3SE +/- 39.81, N = 319217.7231509.6331760.021. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine3216K12K18K24K30KMin: 18974.27 / Avg: 19217.72 / Max: 19355.58Min: 31484.3 / Avg: 31509.63 / Max: 31552.32Min: 31694.29 / Avg: 31760.02 / Max: 31831.81. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search32120406080100SE +/- 0.30, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3100.83100.24100.121. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search32120406080100Min: 100.31 / Avg: 100.83 / Max: 101.34Min: 100.03 / Avg: 100.24 / Max: 100.35Min: 100.06 / Avg: 100.12 / Max: 100.221. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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: Cylinder321130260390520650SE +/- 3.73, N = 3SE +/- 1.24, N = 3SE +/- 1.16, N = 3605.89377.56378.481. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder321110220330440550Min: 600.85 / Avg: 605.89 / Max: 613.17Min: 375.1 / Avg: 377.56 / Max: 379Min: 376.21 / Avg: 378.48 / Max: 380.061. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz

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 Atoms3211.32952.6593.98855.3186.6475SE +/- 0.046, N = 3SE +/- 0.005, N = 3SE +/- 0.013, N = 35.9055.9095.8511. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms321246810Min: 5.84 / Avg: 5.91 / Max: 5.99Min: 5.9 / Avg: 5.91 / Max: 5.92Min: 5.83 / Avg: 5.85 / Max: 5.881. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein321246810SE +/- 0.197, N = 12SE +/- 0.019, N = 3SE +/- 0.086, N = 156.3226.8056.6001. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein3213691215Min: 4.38 / Avg: 6.32 / Max: 6.85Min: 6.77 / Avg: 6.81 / Max: 6.83Min: 5.57 / Avg: 6.6 / Max: 6.831. (CXX) g++ options: -O3 -pthread -lm

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default3210.29660.59320.88981.18641.483SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.000, N = 31.3181.3151.3131. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default321246810Min: 1.31 / Avg: 1.32 / Max: 1.33Min: 1.31 / Avg: 1.32 / Max: 1.32Min: 1.31 / Avg: 1.31 / Max: 1.311. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1003210.46760.93521.40281.87042.338SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 32.0782.0762.0771. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100321246810Min: 2.08 / Avg: 2.08 / Max: 2.08Min: 2.08 / Avg: 2.08 / Max: 2.08Min: 2.07 / Avg: 2.08 / Max: 2.081. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless32148121620SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.6915.6015.611. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless32148121620Min: 15.63 / Avg: 15.69 / Max: 15.82Min: 15.59 / Avg: 15.6 / Max: 15.62Min: 15.6 / Avg: 15.61 / Max: 15.631. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression321246810SE +/- 0.013, N = 3SE +/- 0.012, N = 3SE +/- 0.014, N = 36.3826.3866.3851. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression3213691215Min: 6.37 / Avg: 6.38 / Max: 6.41Min: 6.37 / Avg: 6.39 / Max: 6.41Min: 6.37 / Avg: 6.38 / Max: 6.411. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression321816243240SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 334.6134.8434.701. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression321714212835Min: 34.51 / Avg: 34.61 / Max: 34.73Min: 34.59 / Avg: 34.84 / Max: 35.06Min: 34.25 / Avg: 34.7 / Max: 34.941. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: Reactor3214080120160200SE +/- 2.36, N = 12SE +/- 2.22, N = 12SE +/- 2.21, N = 12197.05199.45197.76
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: Reactor3214080120160200Min: 181.51 / Avg: 197.05 / Max: 210.63Min: 192.34 / Avg: 199.45 / Max: 220.25Min: 188.13 / Avg: 197.76 / Max: 216

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: H23216001200180024003000SE +/- 38.16, N = 4SE +/- 39.90, N = 20SE +/- 46.69, N = 19277529252864
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H23215001000150020002500Min: 2697 / Avg: 2775.25 / Max: 2880Min: 2663 / Avg: 2925.3 / Max: 3239Min: 2537 / Avg: 2863.58 / Max: 3247

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Jython3218001600240032004000SE +/- 27.24, N = 4SE +/- 52.89, N = 4SE +/- 52.97, N = 4371836983709
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Jython3216001200180024003000Min: 3661 / Avg: 3717.5 / Max: 3792Min: 3616 / Avg: 3697.5 / Max: 3852Min: 3607 / Avg: 3709.25 / Max: 3847

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradesoap3218001600240032004000SE +/- 42.18, N = 4SE +/- 25.69, N = 4SE +/- 18.80, N = 4370435503652
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradesoap3216001200180024003000Min: 3589 / Avg: 3704 / Max: 3792Min: 3504 / Avg: 3549.5 / Max: 3612Min: 3596 / Avg: 3652.25 / Max: 3675

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradebeans3216001200180024003000SE +/- 21.94, N = 4SE +/- 27.27, N = 4SE +/- 35.35, N = 5280126452690
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradebeans3215001000150020002500Min: 2754 / Avg: 2801.25 / Max: 2860Min: 2572 / Avg: 2645.25 / Max: 2697Min: 2577 / Avg: 2690.2 / Max: 2793

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 232110M20M30M40M50MSE +/- 80326.86, N = 3SE +/- 22614.50, N = 3SE +/- 543289.97, N = 348679363.348808319.148134384.7
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 23218M16M24M32M40MMin: 48550770.6 / Avg: 48679363.3 / Max: 48827057.2Min: 48770683.9 / Avg: 48808319.07 / Max: 48848860.9Min: 47057724.3 / Avg: 48134384.73 / Max: 48799575.9

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 Benchmark321816243240SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 333.8733.6633.311. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark321714212835Min: 33.71 / Avg: 33.87 / Max: 33.99Min: 33.44 / Avg: 33.66 / Max: 33.88Min: 33.06 / Avg: 33.31 / Max: 33.491. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPU3211.01172.02343.03514.04685.0585SE +/- 0.04076, N = 12SE +/- 0.03723, N = 13SE +/- 0.04422, N = 154.131294.131534.49627MIN: 3.59MIN: 3.59MIN: 3.831. (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: CPU321246810Min: 3.75 / Avg: 4.13 / Max: 4.36Min: 3.73 / Avg: 4.13 / Max: 4.29Min: 3.99 / Avg: 4.5 / Max: 4.771. (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: CPU3211530456075SE +/- 0.54, N = 3SE +/- 0.04, N = 3SE +/- 0.38, N = 368.5969.0068.05MIN: 62.18MIN: 63.06MIN: 64.461. (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: CPU3211326395265Min: 67.59 / Avg: 68.59 / Max: 69.45Min: 68.94 / Avg: 69 / Max: 69.07Min: 67.53 / Avg: 68.05 / Max: 68.791. (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: CPU3210.42010.84021.26031.68042.1005SE +/- 0.03006, N = 3SE +/- 0.01584, N = 15SE +/- 0.01882, N = 81.867061.805711.80103MIN: 1.53MIN: 1.49MIN: 1.511. (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: CPU321246810Min: 1.81 / Avg: 1.87 / Max: 1.9Min: 1.61 / Avg: 1.81 / Max: 1.9Min: 1.67 / Avg: 1.8 / Max: 1.821. (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: CPU321714212835SE +/- 0.04, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 327.3527.3727.64MIN: 25.36MIN: 24.77MIN: 25.191. (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: CPU321612182430Min: 27.28 / Avg: 27.35 / Max: 27.43Min: 27.12 / Avg: 27.37 / Max: 27.86Min: 27.55 / Avg: 27.64 / Max: 27.771. (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: CPU32148121620SE +/- 0.24, N = 4SE +/- 0.15, N = 3SE +/- 0.13, N = 317.2017.1417.12MIN: 16.87MIN: 16.92MIN: 16.891. (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: CPU32148121620Min: 16.94 / Avg: 17.2 / Max: 17.91Min: 16.99 / Avg: 17.14 / Max: 17.45Min: 16.96 / Avg: 17.12 / Max: 17.371. (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: CPU3211.10172.20343.30514.40685.5085SE +/- 0.04582, N = 3SE +/- 0.05834, N = 12SE +/- 0.04290, N = 154.707564.673924.89651MIN: 4.21MIN: 3.78MIN: 3.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU321246810Min: 4.62 / Avg: 4.71 / Max: 4.77Min: 4.04 / Avg: 4.67 / Max: 4.83Min: 4.75 / Avg: 4.9 / Max: 5.361. (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: CPU321246810SE +/- 0.09853, N = 4SE +/- 0.00067, N = 3SE +/- 0.02212, N = 36.611726.473496.64261MIN: 6.32MIN: 6.31MIN: 6.441. (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: CPU3213691215Min: 6.5 / Avg: 6.61 / Max: 6.91Min: 6.47 / Avg: 6.47 / Max: 6.47Min: 6.6 / Avg: 6.64 / Max: 6.671. (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: CPU32148121620SE +/- 0.16, N = 3SE +/- 0.27, N = 3SE +/- 0.01, N = 316.6016.7416.44MIN: 16.35MIN: 16.38MIN: 16.351. (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: CPU32148121620Min: 16.44 / Avg: 16.6 / Max: 16.93Min: 16.46 / Avg: 16.74 / Max: 17.28Min: 16.42 / Avg: 16.44 / Max: 16.461. (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: CPU3211.28412.56823.85235.13646.4205SE +/- 0.05691, N = 3SE +/- 0.01208, N = 3SE +/- 0.03901, N = 35.706905.593575.70594MIN: 4.91MIN: 4.91MIN: 4.961. (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: CPU321246810Min: 5.63 / Avg: 5.71 / Max: 5.82Min: 5.58 / Avg: 5.59 / Max: 5.62Min: 5.64 / Avg: 5.71 / Max: 5.781. (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: CPU3210.80711.61422.42133.22844.0355SE +/- 0.03320, N = 15SE +/- 0.05394, N = 3SE +/- 0.03967, N = 33.304023.241893.58701MIN: 3.1MIN: 3.1MIN: 3.471. (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: CPU321246810Min: 3.19 / Avg: 3.3 / Max: 3.59Min: 3.19 / Avg: 3.24 / Max: 3.35Min: 3.52 / Avg: 3.59 / Max: 3.661. (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: CPU32170140210280350SE +/- 1.53, N = 3SE +/- 2.20, N = 3SE +/- 3.32, N = 3324.34326.96321.80MIN: 307.8MIN: 315.72MIN: 304.561. (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: CPU32160120180240300Min: 321.71 / Avg: 324.34 / Max: 327.02Min: 323.11 / Avg: 326.96 / Max: 330.73Min: 315.6 / Avg: 321.8 / Max: 326.961. (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: CPU321306090120150SE +/- 1.35, N = 3SE +/- 0.87, N = 3SE +/- 1.81, N = 3136.15139.87149.62MIN: 130.37MIN: 136.06MIN: 143.311. (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: CPU321306090120150Min: 133.47 / Avg: 136.15 / Max: 137.77Min: 138.13 / Avg: 139.87 / Max: 140.79Min: 146.36 / Avg: 149.62 / Max: 152.631. (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: CPU3210.91571.83142.74713.66284.5785SE +/- 0.00529, N = 3SE +/- 0.04507, N = 3SE +/- 0.00919, N = 33.876144.069703.99911MIN: 3.82MIN: 3.86MIN: 3.931. (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: CPU321246810Min: 3.87 / Avg: 3.88 / Max: 3.89Min: 3.98 / Avg: 4.07 / Max: 4.13Min: 3.98 / Avg: 4 / Max: 4.011. (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: CPU3210.5811.1621.7432.3242.905SE +/- 0.02621, N = 3SE +/- 0.03056, N = 3SE +/- 0.02285, N = 32.582322.579262.58081MIN: 2.21MIN: 2.16MIN: 2.211. (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: CPU321246810Min: 2.55 / Avg: 2.58 / Max: 2.63Min: 2.55 / Avg: 2.58 / Max: 2.64Min: 2.56 / Avg: 2.58 / Max: 2.631. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p321140280420560700SE +/- 3.61, N = 3SE +/- 1.12, N = 3SE +/- 2.78, N = 3641.98647.74639.97MIN: 460.65 / MAX: 940.69MIN: 471.76 / MAX: 969.53MIN: 466.44 / MAX: 934.791. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p321110220330440550Min: 634.76 / Avg: 641.98 / Max: 645.69Min: 645.5 / Avg: 647.74 / Max: 648.95Min: 634.42 / Avg: 639.97 / Max: 642.831. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4K3214080120160200SE +/- 0.52, N = 3SE +/- 1.07, N = 3SE +/- 1.17, N = 3156.84160.47156.40MIN: 148.02 / MAX: 171.09MIN: 149.07 / MAX: 177.15MIN: 125.77 / MAX: 171.791. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4K321306090120150Min: 156.01 / Avg: 156.84 / Max: 157.79Min: 159.02 / Avg: 160.47 / Max: 162.57Min: 154.17 / Avg: 156.4 / Max: 158.091. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080p321130260390520650SE +/- 1.29, N = 3SE +/- 0.67, N = 3SE +/- 1.17, N = 3579.67582.13581.34MIN: 479.84 / MAX: 634.42MIN: 511.78 / MAX: 635.13MIN: 498.37 / MAX: 635.391. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080p321100200300400500Min: 577.1 / Avg: 579.67 / Max: 581.13Min: 580.8 / Avg: 582.13 / Max: 583.01Min: 579.93 / Avg: 581.34 / Max: 583.671. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bit321306090120150SE +/- 0.06, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3113.41116.36114.55MIN: 72.47 / MAX: 269.27MIN: 73.44 / MAX: 275.45MIN: 72.75 / MAX: 275.841. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bit32120406080100Min: 113.29 / Avg: 113.41 / Max: 113.48Min: 116.01 / Avg: 116.36 / Max: 116.78Min: 114.36 / Avg: 114.55 / Max: 114.771. (CC) gcc options: -pthread

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-Pass3210.07430.14860.22290.29720.3715SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.330.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-Pass32112345Min: 0.32 / Avg: 0.33 / Max: 0.33Min: 0.32 / Avg: 0.33 / Max: 0.33Min: 0.32 / Avg: 0.33 / Max: 0.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass3210.6121.2241.8362.4483.06SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.722.722.721. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-Pass321246810Min: 2.71 / Avg: 2.72 / Max: 2.73Min: 2.71 / Avg: 2.72 / Max: 2.72Min: 2.72 / Avg: 2.72 / Max: 2.731. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime321612182430SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 323.3623.4423.541. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Realtime321510152025Min: 23.22 / Avg: 23.36 / Max: 23.52Min: 23.27 / Avg: 23.44 / Max: 23.62Min: 23.38 / Avg: 23.54 / Max: 23.681. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass3210.96751.9352.90253.874.8375SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.274.294.301. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-Pass321246810Min: 4.26 / Avg: 4.27 / Max: 4.29Min: 4.26 / Avg: 4.29 / Max: 4.3Min: 4.28 / Avg: 4.3 / Max: 4.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime3211020304050SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 345.7846.2645.921. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 Realtime321918273645Min: 45.34 / Avg: 45.78 / Max: 46.14Min: 46.13 / Avg: 46.26 / Max: 46.43Min: 45.69 / Avg: 45.92 / Max: 46.131. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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: Slow3210.93831.87662.81493.75324.6915SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.154.174.151. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Slow321246810Min: 4.12 / Avg: 4.15 / Max: 4.19Min: 4.15 / Avg: 4.17 / Max: 4.21Min: 4.13 / Avg: 4.15 / Max: 4.191. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium3210.95181.90362.85543.80724.759SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.204.234.211. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium321246810Min: 4.19 / Avg: 4.2 / Max: 4.2Min: 4.22 / Avg: 4.23 / Max: 4.25Min: 4.2 / Avg: 4.21 / Max: 4.221. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Slow321510152025SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 318.1118.5818.241. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Slow321510152025Min: 18.08 / Avg: 18.11 / Max: 18.14Min: 18.42 / Avg: 18.58 / Max: 18.88Min: 18.22 / Avg: 18.24 / Max: 18.271. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium321510152025SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 318.6918.9218.691. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium321510152025Min: 18.57 / Avg: 18.69 / Max: 18.76Min: 18.89 / Avg: 18.92 / Max: 18.95Min: 18.58 / Avg: 18.69 / Max: 18.841. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast3213691215SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 311.9112.0511.951. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast32148121620Min: 11.83 / Avg: 11.91 / Max: 11.98Min: 12.01 / Avg: 12.05 / Max: 12.13Min: 11.9 / Avg: 11.95 / Max: 121. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast321510152025SE +/- 0.11, N = 3SE +/- 0.23, N = 3SE +/- 0.10, N = 321.9222.4521.871. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast321510152025Min: 21.73 / Avg: 21.92 / Max: 22.12Min: 22.19 / Avg: 22.45 / Max: 22.9Min: 21.69 / Avg: 21.87 / Max: 22.031. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast3211122334455SE +/- 0.02, N = 3SE +/- 0.64, N = 5SE +/- 0.52, N = 346.7948.2446.731. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast3211020304050Min: 46.75 / Avg: 46.79 / Max: 46.82Min: 47.55 / Avg: 48.24 / Max: 50.78Min: 45.69 / Avg: 46.73 / Max: 47.271. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast32120406080100SE +/- 1.01, N = 3SE +/- 0.90, N = 9SE +/- 1.07, N = 387.1892.5387.161. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast32120406080100Min: 86.15 / Avg: 87.18 / Max: 89.2Min: 88.35 / Avg: 92.53 / Max: 97.71Min: 85.39 / Avg: 87.16 / Max: 89.091. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 4K3213691215SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 312.3412.3912.371. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K32148121620Min: 12.3 / Avg: 12.34 / Max: 12.37Min: 12.25 / Avg: 12.39 / Max: 12.56Min: 12.23 / Avg: 12.37 / Max: 12.471. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p3211326395265SE +/- 0.78, N = 3SE +/- 0.96, N = 3SE +/- 0.06, N = 354.4256.1454.491. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p3211122334455Min: 52.87 / Avg: 54.42 / Max: 55.24Min: 54.66 / Avg: 56.14 / Max: 57.94Min: 54.37 / Avg: 54.49 / Max: 54.561. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: 032120406080100SE +/- 0.38, N = 3SE +/- 0.39, N = 3SE +/- 0.38, N = 399.3499.2799.671. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 032120406080100Min: 98.59 / Avg: 99.34 / Max: 99.81Min: 98.79 / Avg: 99.27 / Max: 100.05Min: 98.95 / Avg: 99.67 / Max: 100.251. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 23211326395265SE +/- 0.17, N = 3SE +/- 0.27, N = 3SE +/- 0.10, N = 358.6658.4058.661. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 23211224364860Min: 58.33 / Avg: 58.66 / Max: 58.88Min: 57.86 / Avg: 58.4 / Max: 58.75Min: 58.48 / Avg: 58.66 / Max: 58.791. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 83211.132.263.394.525.65SE +/- 0.017, N = 3SE +/- 0.019, N = 3SE +/- 0.013, N = 35.0174.9955.0221. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8321246810Min: 4.99 / Avg: 5.02 / Max: 5.05Min: 4.96 / Avg: 4.99 / Max: 5.03Min: 5 / Avg: 5.02 / Max: 5.051. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 103211.07032.14063.21094.28125.3515SE +/- 0.010, N = 3SE +/- 0.014, N = 3SE +/- 0.009, N = 34.7334.7384.7571. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10321246810Min: 4.72 / Avg: 4.73 / Max: 4.75Min: 4.72 / Avg: 4.74 / Max: 4.77Min: 4.74 / Avg: 4.76 / Max: 4.771. (CXX) g++ options: -O3 -fPIC

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 Compile2120406080100SE +/- 0.19, N = 3SE +/- 0.05, N = 398.1598.18
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To Compile2120406080100Min: 97.9 / Avg: 98.15 / Max: 98.51Min: 98.11 / Avg: 98.18 / Max: 98.29

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To Compile21170340510680850SE +/- 1.50, N = 3SE +/- 2.53, N = 3762.88771.21
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To Compile21140280420560700Min: 760.16 / Avg: 762.88 / Max: 765.34Min: 767.83 / Avg: 771.21 / Max: 776.17

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28321510152025SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 321.6021.5921.591. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28321510152025Min: 21.52 / Avg: 21.6 / Max: 21.65Min: 21.57 / Avg: 21.59 / Max: 21.6Min: 21.56 / Avg: 21.59 / Max: 21.631. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

OpenSSL

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

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit Performance3215001000150020002500SE +/- 14.41, N = 3SE +/- 18.02, N = 3SE +/- 27.67, N = 32474.62467.92431.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit Performance321400800120016002000Min: 2459.3 / Avg: 2474.6 / Max: 2503.4Min: 2439 / Avg: 2467.87 / Max: 2501Min: 2376.6 / Avg: 2431.8 / Max: 2462.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16321160K320K480K640K800KSE +/- 673.14, N = 3SE +/- 3580.61, N = 3SE +/- 1649.46, N = 3734176.59736916.33737463.311. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16321130K260K390K520K650KMin: 732907.25 / Avg: 734176.59 / Max: 735199.77Min: 732167.59 / Avg: 736916.33 / Max: 743932.83Min: 734781.8 / Avg: 737463.31 / Max: 740468.191. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 Benchmark3210.18470.36940.55410.73880.9235SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 30.8210.8150.8201. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark321246810Min: 0.82 / Avg: 0.82 / Max: 0.82Min: 0.81 / Avg: 0.82 / Max: 0.82Min: 0.82 / Avg: 0.82 / Max: 0.821. (CXX) g++ options: -O3 -pthread -lrt -lpthread -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: SqueezeNet32150K100K150K200K250KSE +/- 627.42, N = 3SE +/- 496.71, N = 3SE +/- 345.32, N = 3227599226239227852
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet32140K80K120K160K200KMin: 226382 / Avg: 227598.67 / Max: 228473Min: 225661 / Avg: 226239.33 / Max: 227228Min: 227164 / Avg: 227851.67 / Max: 228251

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4321700K1400K2100K2800K3500KSE +/- 369.56, N = 3SE +/- 1202.26, N = 3SE +/- 1176.00, N = 3327043332607103269353
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4321600K1200K1800K2400K3000KMin: 3269800 / Avg: 3270433.33 / Max: 3271080Min: 3258800 / Avg: 3260710 / Max: 3262930Min: 3267420 / Avg: 3269353.33 / Max: 3271480

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile32140K80K120K160K200KSE +/- 1000.76, N = 3SE +/- 120.29, N = 3SE +/- 363.56, N = 3201265199504201015
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile32130K60K90K120K150KMin: 199347 / Avg: 201265.33 / Max: 202719Min: 199271 / Avg: 199503.67 / Max: 199673Min: 200409 / Avg: 201015 / Max: 201666

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float32130K60K90K120K150KSE +/- 188.88, N = 3SE +/- 330.84, N = 3SE +/- 387.33, N = 3154362153221153919
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float32130K60K90K120K150KMin: 154000 / Avg: 154361.67 / Max: 154637Min: 152834 / Avg: 153220.67 / Max: 153879Min: 153221 / Avg: 153919 / Max: 154559

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant32130K60K90K120K150KSE +/- 197.44, N = 3SE +/- 261.09, N = 3SE +/- 112.51, N = 3157719156299157250
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant32130K60K90K120K150KMin: 157339 / Avg: 157719 / Max: 158002Min: 156026 / Avg: 156299 / Max: 156821Min: 157085 / Avg: 157250 / Max: 157465

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2321600K1200K1800K2400K3000KSE +/- 867.58, N = 3SE +/- 2042.95, N = 3SE +/- 93.33, N = 3295767029465802954177
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2321500K1000K1500K2000K2500KMin: 2956560 / Avg: 2957670 / Max: 2959380Min: 2942500 / Avg: 2946580 / Max: 2948810Min: 2954030 / Avg: 2954176.67 / Max: 2954350

PostgreSQL pgbench

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only3217K14K21K28K35KSE +/- 92.20, N = 3SE +/- 373.98, N = 3SE +/- 77.57, N = 33257933267334141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only3216K12K18K24K30KMin: 32398.65 / Avg: 32578.8 / Max: 32702.93Min: 32547.57 / Avg: 33267.12 / Max: 33803.71Min: 33282.52 / Avg: 33413.52 / Max: 33551.011. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency3210.0070.0140.0210.0280.035SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0310.0300.0301. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency32112345Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.03 / Avg: 0.03 / Max: 0.03Min: 0.03 / Avg: 0.03 / Max: 0.031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write321100200300400500SE +/- 17.55, N = 12SE +/- 22.30, N = 12SE +/- 5.79, N = 34424294801. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write32190180270360450Min: 326.1 / Avg: 441.57 / Max: 506.73Min: 313.38 / Avg: 428.64 / Max: 504.63Min: 468.53 / Avg: 479.93 / Max: 487.41. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency3210.54271.08541.62812.17082.7135SE +/- 0.108, N = 12SE +/- 0.138, N = 12SE +/- 0.025, N = 32.3122.4122.0841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency321246810Min: 1.97 / Avg: 2.31 / Max: 3.07Min: 1.98 / Avg: 2.41 / Max: 3.19Min: 2.05 / Avg: 2.08 / Max: 2.131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only32160K120K180K240K300KSE +/- 3723.51, N = 3SE +/- 4333.65, N = 3SE +/- 1001.63, N = 32919952960882894011. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only32150K100K150K200K250KMin: 284577.31 / Avg: 291995.21 / Max: 296273.91Min: 287556.43 / Avg: 296087.6 / Max: 301678.34Min: 287488.27 / Avg: 289401.29 / Max: 290872.651. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency3210.03890.07780.11670.15560.1945SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 30.1710.1690.1731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency32112345Min: 0.17 / Avg: 0.17 / Max: 0.18Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.17 / Avg: 0.17 / Max: 0.171. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only32160K120K180K240K300KSE +/- 753.18, N = 3SE +/- 3007.11, N = 3SE +/- 1999.95, N = 32780192812912744631. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only32150K100K150K200K250KMin: 276740.71 / Avg: 278019.02 / Max: 279348.29Min: 278167.59 / Avg: 281290.87 / Max: 287303.58Min: 270821.15 / Avg: 274463.42 / Max: 277716.251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency3210.08210.16420.24630.32840.4105SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 30.3600.3560.3651. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency32112345Min: 0.36 / Avg: 0.36 / Max: 0.36Min: 0.35 / Avg: 0.36 / Max: 0.36Min: 0.36 / Avg: 0.36 / Max: 0.371. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only32150K100K150K200K250KSE +/- 3216.57, N = 5SE +/- 3217.19, N = 5SE +/- 853.38, N = 32493482514292546781. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only32140K80K120K160K200KMin: 240318.41 / Avg: 249347.52 / Max: 259272Min: 241661.57 / Avg: 251428.53 / Max: 260764.33Min: 253004.72 / Avg: 254678.41 / Max: 255804.81. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency3210.22590.45180.67770.90361.1295SE +/- 0.013, N = 5SE +/- 0.013, N = 5SE +/- 0.003, N = 31.0040.9950.9821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency321246810Min: 0.97 / Avg: 1 / Max: 1.04Min: 0.96 / Avg: 1 / Max: 1.04Min: 0.98 / Avg: 0.98 / Max: 0.991. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write321130260390520650SE +/- 4.93, N = 3SE +/- 0.22, N = 3SE +/- 8.58, N = 36045966111. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write321110220330440550Min: 597.67 / Avg: 604.49 / Max: 614.08Min: 595.68 / Avg: 596.12 / Max: 596.38Min: 595.47 / Avg: 611.06 / Max: 625.071. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency32120406080100SE +/- 0.67, N = 3SE +/- 0.03, N = 3SE +/- 1.15, N = 382.7383.8981.871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency3211632486480Min: 81.43 / Avg: 82.73 / Max: 83.67Min: 83.85 / Avg: 83.89 / Max: 83.95Min: 80 / Avg: 81.86 / Max: 83.981. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write321120240360480600SE +/- 3.40, N = 3SE +/- 5.30, N = 3SE +/- 1.34, N = 35785785681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write321100200300400500Min: 570.89 / Avg: 577.54 / Max: 582.08Min: 571.02 / Avg: 578.14 / Max: 588.49Min: 565.61 / Avg: 568.11 / Max: 570.211. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency3214080120160200SE +/- 1.01, N = 3SE +/- 1.60, N = 3SE +/- 0.42, N = 3173.24173.12176.131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency321306090120150Min: 171.91 / Avg: 173.24 / Max: 175.22Min: 169.99 / Avg: 173.12 / Max: 175.26Min: 175.49 / Avg: 176.13 / Max: 176.921. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write321130260390520650SE +/- 5.55, N = 3SE +/- 6.84, N = 15SE +/- 11.83, N = 155575915991. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write321110220330440550Min: 548.17 / Avg: 556.98 / Max: 567.22Min: 555.59 / Avg: 590.58 / Max: 654.7Min: 555.78 / Avg: 598.98 / Max: 707.591. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency321100200300400500SE +/- 4.44, N = 3SE +/- 4.74, N = 15SE +/- 7.83, N = 15449.11424.26419.731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency32180160240320400Min: 440.96 / Avg: 449.11 / Max: 456.25Min: 381.95 / Avg: 424.26 / Max: 450.12Min: 353.46 / Avg: 419.73 / Max: 450.051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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: Fast3211.24882.49763.74644.99526.244SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.555.525.531. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast321246810Min: 5.54 / Avg: 5.55 / Max: 5.56Min: 5.51 / Avg: 5.52 / Max: 5.53Min: 5.52 / Avg: 5.53 / Max: 5.541. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium321246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 38.558.448.481. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium3213691215Min: 8.54 / Avg: 8.55 / Max: 8.56Min: 8.41 / Avg: 8.44 / Max: 8.47Min: 8.47 / Avg: 8.48 / Max: 8.491. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough321816243240SE +/- 0.40, N = 6SE +/- 0.42, N = 3SE +/- 0.40, N = 333.3433.2433.331. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough321714212835Min: 31.33 / Avg: 33.34 / Max: 33.77Min: 32.39 / Avg: 33.24 / Max: 33.68Min: 32.52 / Avg: 33.33 / Max: 33.741. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive32160120180240300SE +/- 0.84, N = 3SE +/- 0.56, N = 3SE +/- 0.80, N = 3275.59273.46274.721. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive32150100150200250Min: 274.09 / Avg: 275.59 / Max: 276.99Min: 272.37 / Avg: 273.46 / Max: 274.26Min: 273.3 / Avg: 274.72 / Max: 276.071. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF Document321510152025SE +/- 0.21, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 322.0921.0722.02
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF Document321510152025Min: 21.67 / Avg: 22.09 / Max: 22.36Min: 20.63 / Avg: 21.07 / Max: 21.32Min: 21.8 / Avg: 22.02 / Max: 22.2

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 Time3211428425670SE +/- 0.05, N = 3SE +/- 0.28, N = 3SE +/- 0.13, N = 362.1261.8561.751. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Time3211224364860Min: 62.06 / Avg: 62.12 / Max: 62.22Min: 61.29 / Avg: 61.85 / Max: 62.2Min: 61.53 / Avg: 61.75 / Max: 61.991. RawTherapee, version 5.8, command line.

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: 1003219K18K27K36K45KSE +/- 115.70, N = 3SE +/- 121.90, N = 3SE +/- 134.25, N = 34031539759400951. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1003217K14K21K28K35KMin: 40090 / Avg: 40314.67 / Max: 40475Min: 39518 / Avg: 39759.33 / Max: 39910Min: 39879 / Avg: 40094.67 / Max: 403411. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20032120K40K60K80K100KSE +/- 112.10, N = 3SE +/- 143.26, N = 3SE +/- 78.77, N = 38050779922802731. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20032114K28K42K56K70KMin: 80318 / Avg: 80507.33 / Max: 80706Min: 79648 / Avg: 79921.67 / Max: 80132Min: 80131 / Avg: 80273.33 / Max: 804031. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10032120K40K60K80K100KSE +/- 179.36, N = 3SE +/- 79.24, N = 3SE +/- 216.65, N = 31039031033491037861. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10032120K40K60K80K100KMin: 103621 / Avg: 103903 / Max: 104236Min: 103248 / Avg: 103348.67 / Max: 103505Min: 103440 / Avg: 103786.33 / Max: 1041851. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20032140K80K120K160K200KSE +/- 147.41, N = 3SE +/- 420.35, N = 3SE +/- 124.50, N = 32082642078892079021. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20032140K80K120K160K200KMin: 208054 / Avg: 208263.67 / Max: 208548Min: 207245 / Avg: 207889 / Max: 208679Min: 207662 / Avg: 207901.67 / Max: 2080801. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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: squeezenet32148121620SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 316.3816.1016.10MIN: 15.97 / MAX: 24.3MIN: 15.94 / MAX: 17.11MIN: 15.74 / MAX: 17.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet32148121620Min: 16.12 / Avg: 16.38 / Max: 16.68Min: 16.06 / Avg: 16.1 / Max: 16.16Min: 16.05 / Avg: 16.1 / Max: 16.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet321510152025SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 319.2319.2219.30MIN: 18.97 / MAX: 19.68MIN: 18.82 / MAX: 26.38MIN: 18.89 / MAX: 19.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet321510152025Min: 19.05 / Avg: 19.23 / Max: 19.37Min: 19.13 / Avg: 19.22 / Max: 19.28Min: 19.2 / Avg: 19.3 / Max: 19.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v23211.19482.38963.58444.77925.974SE +/- 0.14, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.315.135.11MIN: 5.02 / MAX: 8.3MIN: 5.01 / MAX: 5.35MIN: 5.01 / MAX: 5.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2321246810Min: 5.14 / Avg: 5.31 / Max: 5.59Min: 5.12 / Avg: 5.13 / Max: 5.13Min: 5.1 / Avg: 5.11 / Max: 5.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v33210.9451.892.8353.784.725SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.204.074.06MIN: 4.01 / MAX: 4.64MIN: 4.03 / MAX: 4.44MIN: 4.01 / MAX: 4.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3321246810Min: 4.04 / Avg: 4.2 / Max: 4.49Min: 4.05 / Avg: 4.07 / Max: 4.08Min: 4.05 / Avg: 4.06 / Max: 4.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v23210.73351.4672.20052.9343.6675SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 33.263.173.21MIN: 2.99 / MAX: 3.84MIN: 2.99 / MAX: 3.47MIN: 2.98 / MAX: 3.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2321246810Min: 3.19 / Avg: 3.26 / Max: 3.39Min: 3.12 / Avg: 3.17 / Max: 3.21Min: 3.13 / Avg: 3.21 / Max: 3.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet3210.93831.87662.81493.75324.6915SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.173.913.92MIN: 3.88 / MAX: 4.56MIN: 3.86 / MAX: 4.25MIN: 3.87 / MAX: 4.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet321246810Min: 3.91 / Avg: 4.17 / Max: 4.34Min: 3.89 / Avg: 3.91 / Max: 3.93Min: 3.9 / Avg: 3.92 / Max: 3.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0321246810SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 36.856.686.69MIN: 6.72 / MAX: 7.36MIN: 6.34 / MAX: 7.11MIN: 6.36 / MAX: 7.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b03213691215Min: 6.84 / Avg: 6.85 / Max: 6.86Min: 6.38 / Avg: 6.68 / Max: 6.83Min: 6.4 / Avg: 6.69 / Max: 6.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface3210.33750.6751.01251.351.6875SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 31.501.451.46MIN: 1.42 / MAX: 1.63MIN: 1.34 / MAX: 1.66MIN: 1.38 / MAX: 1.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface321246810Min: 1.5 / Avg: 1.5 / Max: 1.51Min: 1.38 / Avg: 1.45 / Max: 1.5Min: 1.4 / Avg: 1.46 / Max: 1.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet32148121620SE +/- 0.01, N = 3SE +/- 0.26, N = 3SE +/- 0.31, N = 315.3815.0914.99MIN: 15.04 / MAX: 15.73MIN: 14.25 / MAX: 15.64MIN: 14.17 / MAX: 16.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet32148121620Min: 15.37 / Avg: 15.38 / Max: 15.39Min: 14.57 / Avg: 15.09 / Max: 15.35Min: 14.37 / Avg: 14.99 / Max: 15.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg163211530456075SE +/- 0.37, N = 3SE +/- 0.00, N = 3SE +/- 0.58, N = 367.8266.6067.22MIN: 66.24 / MAX: 187.16MIN: 66.46 / MAX: 67.69MIN: 65.96 / MAX: 186.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg163211326395265Min: 67.37 / Avg: 67.82 / Max: 68.56Min: 66.6 / Avg: 66.6 / Max: 66.61Min: 66.13 / Avg: 67.22 / Max: 68.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1832148121620SE +/- 0.25, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 315.6115.4915.20MIN: 15.01 / MAX: 51.06MIN: 14.84 / MAX: 15.88MIN: 14.69 / MAX: 15.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1832148121620Min: 15.36 / Avg: 15.61 / Max: 16.1Min: 15.43 / Avg: 15.49 / Max: 15.58Min: 14.8 / Avg: 15.2 / Max: 15.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet32148121620SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 314.7214.3314.38MIN: 14.22 / MAX: 122.36MIN: 14.26 / MAX: 14.55MIN: 14.11 / MAX: 17.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet32148121620Min: 14.41 / Avg: 14.72 / Max: 14.92Min: 14.31 / Avg: 14.33 / Max: 14.35Min: 14.19 / Avg: 14.38 / Max: 14.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50321714212835SE +/- 0.53, N = 3SE +/- 0.43, N = 3SE +/- 0.17, N = 329.2028.9128.80MIN: 27.61 / MAX: 140.55MIN: 27.49 / MAX: 158.03MIN: 27.99 / MAX: 145.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50321612182430Min: 28.52 / Avg: 29.2 / Max: 30.25Min: 28.39 / Avg: 28.91 / Max: 29.76Min: 28.63 / Avg: 28.8 / Max: 29.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny321714212835SE +/- 0.12, N = 3SE +/- 0.35, N = 3SE +/- 0.04, N = 329.0729.5828.70MIN: 28.8 / MAX: 29.52MIN: 28.17 / MAX: 140.34MIN: 28.5 / MAX: 29.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny321714212835Min: 28.89 / Avg: 29.07 / Max: 29.29Min: 28.88 / Avg: 29.58 / Max: 29.96Min: 28.65 / Avg: 28.7 / Max: 28.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet3210.82351.6472.47053.2944.1175SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.663.653.66MIN: 3.61 / MAX: 3.73MIN: 3.6 / MAX: 3.7MIN: 3.6 / MAX: 3.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet321246810Min: 3.65 / Avg: 3.66 / Max: 3.68Min: 3.63 / Avg: 3.65 / Max: 3.66Min: 3.65 / Avg: 3.66 / Max: 3.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet3211.07332.14663.21994.29325.3665SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 34.774.584.63MIN: 4.56 / MAX: 34.32MIN: 4.54 / MAX: 4.65MIN: 4.56 / MAX: 5.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet321246810Min: 4.64 / Avg: 4.77 / Max: 5.01Min: 4.57 / Avg: 4.58 / Max: 4.58Min: 4.61 / Avg: 4.63 / Max: 4.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v23210.32850.6570.98551.3141.6425SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 31.461.421.45MIN: 1.41 / MAX: 20.24MIN: 1.41 / MAX: 1.44MIN: 1.41 / MAX: 20.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2321246810Min: 1.42 / Avg: 1.46 / Max: 1.52Min: 1.42 / Avg: 1.42 / Max: 1.42Min: 1.42 / Avg: 1.45 / Max: 1.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v33210.3780.7561.1341.5121.89SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.681.681.67MIN: 1.66 / MAX: 1.9MIN: 1.66 / MAX: 1.93MIN: 1.66 / MAX: 1.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3321246810Min: 1.68 / Avg: 1.68 / Max: 1.69Min: 1.67 / Avg: 1.68 / Max: 1.68Min: 1.67 / Avg: 1.67 / Max: 1.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v23210.29480.58960.88441.17921.474SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.311.311.30MIN: 1.3 / MAX: 1.53MIN: 1.29 / MAX: 1.35MIN: 1.29 / MAX: 1.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2321246810Min: 1.31 / Avg: 1.31 / Max: 1.31Min: 1.31 / Avg: 1.31 / Max: 1.31Min: 1.3 / Avg: 1.3 / Max: 1.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet3210.33750.6751.01251.351.6875SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.501.481.48MIN: 1.47 / MAX: 6.94MIN: 1.47 / MAX: 1.53MIN: 1.47 / MAX: 1.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet321246810Min: 1.49 / Avg: 1.5 / Max: 1.51Min: 1.48 / Avg: 1.48 / Max: 1.48Min: 1.48 / Avg: 1.48 / Max: 1.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b03210.60081.20161.80242.40323.004SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 32.652.652.67MIN: 2.63 / MAX: 2.77MIN: 2.63 / MAX: 3.85MIN: 2.64 / MAX: 12.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0321246810Min: 2.65 / Avg: 2.65 / Max: 2.65Min: 2.64 / Avg: 2.65 / Max: 2.65Min: 2.65 / Avg: 2.67 / Max: 2.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface3210.14180.28360.42540.56720.709SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.630.620.61MIN: 0.61 / MAX: 2.14MIN: 0.6 / MAX: 0.66MIN: 0.6 / MAX: 0.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface321246810Min: 0.62 / Avg: 0.63 / Max: 0.64Min: 0.61 / Avg: 0.62 / Max: 0.62Min: 0.61 / Avg: 0.61 / Max: 0.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet3210.79431.58862.38293.17723.9715SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.31, N = 33.233.223.53MIN: 3.22 / MAX: 3.35MIN: 3.21 / MAX: 3.25MIN: 3.2 / MAX: 21.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet321246810Min: 3.23 / Avg: 3.23 / Max: 3.24Min: 3.22 / Avg: 3.22 / Max: 3.22Min: 3.22 / Avg: 3.53 / Max: 4.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16321246810SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 38.428.328.36MIN: 7.88 / MAX: 18.71MIN: 7.77 / MAX: 22.07MIN: 7.77 / MAX: 22.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg163213691215Min: 8.41 / Avg: 8.42 / Max: 8.42Min: 8.27 / Avg: 8.32 / Max: 8.39Min: 8.34 / Avg: 8.36 / Max: 8.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet183210.3870.7741.1611.5481.935SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 31.661.721.68MIN: 1.64 / MAX: 1.7MIN: 1.64 / MAX: 23.58MIN: 1.64 / MAX: 17.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18321246810Min: 1.66 / Avg: 1.66 / Max: 1.66Min: 1.65 / Avg: 1.72 / Max: 1.77Min: 1.65 / Avg: 1.68 / Max: 1.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet3210.47250.9451.41751.892.3625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.092.082.10MIN: 1.82 / MAX: 2.6MIN: 2.04 / MAX: 2.57MIN: 1.85 / MAX: 2.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet321246810Min: 2.09 / Avg: 2.09 / Max: 2.09Min: 2.08 / Avg: 2.08 / Max: 2.09Min: 2.08 / Avg: 2.1 / Max: 2.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet503210.84831.69662.54493.39324.2415SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.763.743.77MIN: 3.74 / MAX: 3.9MIN: 3.72 / MAX: 3.76MIN: 3.72 / MAX: 13.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50321246810Min: 3.75 / Avg: 3.76 / Max: 3.77Min: 3.73 / Avg: 3.74 / Max: 3.75Min: 3.76 / Avg: 3.77 / Max: 3.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny321246810SE +/- 0.34, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 38.708.328.67MIN: 8.04 / MAX: 83.54MIN: 8.01 / MAX: 8.7MIN: 8.03 / MAX: 531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny3213691215Min: 8.34 / Avg: 8.7 / Max: 9.38Min: 8.3 / Avg: 8.32 / Max: 8.35Min: 8.32 / Avg: 8.67 / Max: 8.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v232160120180240300SE +/- 0.57, N = 3SE +/- 0.68, N = 3SE +/- 1.30, N = 3284.03287.56286.04MIN: 282.82 / MAX: 325.11MIN: 285.93 / MAX: 307.5MIN: 283.63 / MAX: 356.821. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v232150100150200250Min: 283.39 / Avg: 284.03 / Max: 285.16Min: 286.5 / Avg: 287.56 / Max: 288.84Min: 284.04 / Avg: 286.03 / Max: 288.481. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.132160120180240300SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3269.44269.66269.71MIN: 268.04 / MAX: 281.47MIN: 268.59 / MAX: 282.48MIN: 268.38 / MAX: 284.031. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.132150100150200250Min: 269.21 / Avg: 269.43 / Max: 269.65Min: 269.54 / Avg: 269.66 / Max: 269.77Min: 269.66 / Avg: 269.71 / Max: 269.751. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -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: BMW27 - Compute: CPU-Only3214080120160200SE +/- 1.31, N = 3SE +/- 1.07, N = 3SE +/- 0.68, N = 3186.87186.19186.64
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-Only321306090120150Min: 184.25 / Avg: 186.87 / Max: 188.3Min: 184.41 / Avg: 186.19 / Max: 188.1Min: 185.5 / Avg: 186.64 / Max: 187.86

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiX321714212835SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 327.8627.7627.90
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: NVIDIA OptiX321612182430Min: 27.83 / Avg: 27.86 / Max: 27.91Min: 27.68 / Avg: 27.76 / Max: 27.8Min: 27.89 / Avg: 27.9 / Max: 27.92

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-Only321130260390520650SE +/- 0.47, N = 3SE +/- 1.27, N = 3SE +/- 0.63, N = 3584.40587.97584.98
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-Only321100200300400500Min: 583.49 / Avg: 584.4 / Max: 585.09Min: 585.46 / Avg: 587.97 / Max: 589.52Min: 583.76 / Avg: 584.98 / Max: 585.88

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-Only32160120180240300SE +/- 0.29, N = 3SE +/- 0.26, N = 3SE +/- 0.29, N = 3270.29269.67271.16
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-Only32150100150200250Min: 269.74 / Avg: 270.29 / Max: 270.71Min: 269.16 / Avg: 269.67 / Max: 270.04Min: 270.59 / Avg: 271.16 / Max: 271.52

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-Only3212004006008001000SE +/- 0.65, N = 3SE +/- 0.37, N = 3SE +/- 1.21, N = 3787.49783.83787.85
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-Only321140280420560700Min: 786.81 / Avg: 787.49 / Max: 788.79Min: 783.27 / Avg: 783.83 / Max: 784.52Min: 786.16 / Avg: 787.85 / Max: 790.19

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiX32120406080100SE +/- 0.86, N = 3SE +/- 0.75, N = 3SE +/- 0.79, N = 3104.69103.42104.11
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: NVIDIA OptiX32120406080100Min: 103.1 / Avg: 104.69 / Max: 106.07Min: 102.09 / Avg: 103.42 / Max: 104.67Min: 102.69 / Avg: 104.11 / Max: 105.44

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiX3211224364860SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 355.2354.7154.93
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: NVIDIA OptiX3211122334455Min: 55 / Avg: 55.23 / Max: 55.42Min: 54.45 / Avg: 54.71 / Max: 55.02Min: 54.71 / Avg: 54.93 / Max: 55.2

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: NVIDIA OptiX32130060090012001500SE +/- 22.81, N = 3SE +/- 20.32, N = 3SE +/- 19.68, N = 41325.381264.861312.28
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: NVIDIA OptiX3212004006008001000Min: 1279.77 / Avg: 1325.38 / Max: 1348.74Min: 1224.32 / Avg: 1264.86 / Max: 1287.66Min: 1253.45 / Avg: 1312.28 / Max: 1334.9

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-Only321140280420560700SE +/- 0.68, N = 3SE +/- 1.12, N = 3SE +/- 1.32, N = 3650.06650.83651.27
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-Only321110220330440550Min: 649.25 / Avg: 650.06 / Max: 651.41Min: 648.71 / Avg: 650.83 / Max: 652.53Min: 648.83 / Avg: 651.27 / Max: 653.38

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX321306090120150SE +/- 0.98, N = 3SE +/- 0.89, N = 3SE +/- 0.92, N = 3145.79144.87145.47
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX321306090120150Min: 144 / Avg: 145.79 / Max: 147.37Min: 143.29 / Avg: 144.87 / Max: 146.38Min: 143.84 / Avg: 145.47 / Max: 147.04

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: go3214080120160200200199200

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to332160120180240300261261264

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos32120406080100SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 386.185.885.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos3211632486480Min: 86 / Avg: 86.07 / Max: 86.2Min: 85.7 / Avg: 85.83 / Max: 86Min: 85.6 / Avg: 85.67 / Max: 85.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float32120406080100SE +/- 0.36, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 390.190.090.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float32120406080100Min: 89.6 / Avg: 90.1 / Max: 90.8Min: 89.9 / Avg: 90 / Max: 90.1Min: 89.9 / Avg: 89.97 / Max: 90

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody32120406080100103103103

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib32148121620SE +/- 0.09, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 314.514.314.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib32148121620Min: 14.3 / Avg: 14.47 / Max: 14.6Min: 14.3 / Avg: 14.3 / Max: 14.3Min: 14.4 / Avg: 14.4 / Max: 14.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace32180160240320400377375374

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads321510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 321.221.221.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads321510152025Min: 21.1 / Avg: 21.17 / Max: 21.2Min: 21.2 / Avg: 21.2 / Max: 21.2Min: 21.2 / Avg: 21.33 / Max: 21.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes32120406080100SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 385.985.885.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes3211632486480Min: 85.9 / Avg: 85.93 / Max: 86Min: 85.7 / Avg: 85.8 / Max: 85.9Min: 85.7 / Avg: 85.77 / Max: 85.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile321306090120150139137138

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup321246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 36.756.746.80
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup3213691215Min: 6.75 / Avg: 6.75 / Max: 6.76Min: 6.73 / Avg: 6.74 / Max: 6.74Min: 6.73 / Avg: 6.8 / Max: 6.85

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template321918273645SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 339.238.938.6
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template321816243240Min: 39 / Avg: 39.17 / Max: 39.3Min: 38.8 / Avg: 38.9 / Max: 39Min: 38.5 / Avg: 38.63 / Max: 38.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_python32170140210280350339339338

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: FLOAT321100M200M300M400M500MSE +/- 1375357.19, N = 3SE +/- 93008.17, N = 3SE +/- 493184.05, N = 3471834576.35474322870.49472824990.621. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT32180M160M240M320M400MMin: 469295372.86 / Avg: 471834576.35 / Max: 474020232.92Min: 474146266.95 / Avg: 474322870.49 / Max: 474461768.19Min: 472204306.73 / Avg: 472824990.62 / Max: 473799226.511. (CC) gcc options: -O3 -march=native -lm

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPU3213691215SE +/- 1.26, N = 16SE +/- 1.23, N = 16SE +/- 1.26, N = 1610.910.810.9
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: CPU3213691215Min: 6 / Avg: 10.89 / Max: 15.9Min: 6 / Avg: 10.75 / Max: 15.6Min: 6 / Avg: 10.89 / Max: 15.9

OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPU321714212835SE +/- 0.50, N = 15SE +/- 0.50, N = 15SE +/- 0.06, N = 330.630.529.4
OpenBenchmarking.orgFPS, More Is BetterNeatBench 5Acceleration: GPU321714212835Min: 29.3 / Avg: 30.64 / Max: 34.6Min: 29.3 / Avg: 30.53 / Max: 34.8Min: 29.3 / Avg: 29.4 / Max: 29.5

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis3210.25610.51220.76831.02441.2805SE +/- 0.011, N = 15SE +/- 0.011, N = 15SE +/- 0.010, N = 151.1271.1321.138MIN: 0.95 / MAX: 1.48MIN: 0.94 / MAX: 1.51MIN: 0.97 / MAX: 1.48
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis321246810Min: 1.01 / Avg: 1.13 / Max: 1.17Min: 1.02 / Avg: 1.13 / Max: 1.17Min: 1.03 / Avg: 1.14 / Max: 1.19

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 Images321510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 320.2220.3220.13
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 Images321510152025Min: 20.18 / Avg: 20.22 / Max: 20.26Min: 20.27 / Avg: 20.31 / Max: 20.39Min: 20.12 / Avg: 20.13 / Max: 20.14

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 Metric32120K40K60K80K100K9979299832999771. (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 -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lpthread -ldl -luuid -lm

InfluxDB

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

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000321300K600K900K1200K1500KSE +/- 2673.51, N = 3SE +/- 2194.00, N = 3SE +/- 2205.46, N = 31508093.51526391.31507808.8
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000321300K600K900K1200K1500KMin: 1505179.9 / Avg: 1508093.5 / Max: 1513433.1Min: 1523213.5 / Avg: 1526391.27 / Max: 1530600.7Min: 1503409.4 / Avg: 1507808.83 / Max: 1510284.1

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000321300K600K900K1200K1500KSE +/- 4617.21, N = 3SE +/- 4759.58, N = 3SE +/- 5130.21, N = 31530241.01543312.51534293.6
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000321300K600K900K1200K1500KMin: 1522977.7 / Avg: 1530241 / Max: 1538811.2Min: 1538259.6 / Avg: 1543312.5 / Max: 1552825.5Min: 1525190.4 / Avg: 1534293.57 / Max: 1542944.7

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000321300K600K900K1200K1500KSE +/- 1033.19, N = 3SE +/- 6187.13, N = 3SE +/- 4676.23, N = 31539617.51557794.21535930.8
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000321300K600K900K1200K1500KMin: 1537861.5 / Avg: 1539617.47 / Max: 1541438.8Min: 1545905.9 / Avg: 1557794.23 / Max: 1566712Min: 1530612.2 / Avg: 1535930.83 / Max: 1545252.4

165 Results Shown

WireGuard + Linux Networking Stack Stress Test
LeelaChessZero:
  BLAS
  Eigen
Rodinia:
  OpenMP LavaMD
  OpenCL Myocyte
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
NAMD
Dolfyn
FFTE
Timed HMMer Search
Incompact3D
LAMMPS Molecular Dynamics Simulator:
  20k Atoms
  Rhodopsin Protein
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
Java Gradle Build
DaCapo Benchmark:
  H2
  Jython
  Tradesoap
  Tradebeans
BYTE Unix Benchmark
LibRaw
oneDNN:
  IP Batch 1D - f32 - CPU
  IP Batch All - f32 - CPU
  IP Batch 1D - u8s8f32 - CPU
  IP Batch All - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  Deconvolution Batch deconv_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
AOM AV1:
  Speed 0 Two-Pass
  Speed 4 Two-Pass
  Speed 6 Realtime
  Speed 6 Two-Pass
  Speed 8 Realtime
Kvazaar:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Ultra Fast
x265:
  Bosphorus 4K
  Bosphorus 1080p
libavif avifenc:
  0
  2
  8
  10
Timed Linux Kernel Compilation
Timed LLVM Compilation
RNNoise
OpenSSL
KeyDB
GROMACS
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
PostgreSQL pgbench:
  1 - 1 - Read Only
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Write
  1 - 1 - Read Write - Average Latency
  1 - 50 - Read Only
  1 - 50 - Read Only - Average Latency
  1 - 100 - Read Only
  1 - 100 - Read Only - Average Latency
  1 - 250 - Read Only
  1 - 250 - Read Only - Average Latency
  1 - 50 - Read Write
  1 - 50 - Read Write - Average Latency
  1 - 100 - Read Write
  1 - 100 - Read Write - Average Latency
  1 - 250 - Read Write
  1 - 250 - Read Write - Average Latency
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
OCRMyPDF
RawTherapee
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
NCNN:
  CPU - squeezenet
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  Vulkan GPU - squeezenet
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
Blender:
  BMW27 - CPU-Only
  BMW27 - NVIDIA OptiX
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Classroom - NVIDIA OptiX
  Fishy Cat - NVIDIA OptiX
  Barbershop - NVIDIA OptiX
  Pabellon Barcelona - CPU-Only
  Pabellon Barcelona - NVIDIA OptiX
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
Hierarchical INTegration
NeatBench:
  CPU
  GPU
Sunflow Rendering System
Tesseract OCR
BRL-CAD
InfluxDB:
  4 - 10000 - 2,5000,1 - 10000
  64 - 10000 - 2,5000,1 - 10000
  1024 - 10000 - 2,5000,1 - 10000

1

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 2304
Java Notes: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
Security Notes: 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: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 31 October 2020 13:33 by user phoronix.

2

Processor: Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads), Motherboard: Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 64GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: NVIDIA Quadro RTX 4000 8GB (1005/6500MHz), Audio: Intel Cannon Lake PCH cAVS, Monitor: VE228, Network: Intel I219-LM + Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 2304
Java Notes: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
Security Notes: 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: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 2 November 2020 06:10 by user phoronix.

3

Processor: Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads), Motherboard: Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 64GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: NVIDIA Quadro RTX 4000 8GB (300/405MHz), Audio: Intel Cannon Lake PCH cAVS, Monitor: VE228, Network: Intel I219-LM + Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 2304
Java Notes: OpenJDK Runtime Environment (build 11.0.9+11-Ubuntu-0ubuntu1)
Python Notes: Python 3.8.6
Security Notes: 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: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

Testing initiated at 3 November 2020 05:37 by user phoronix.