GM-1000

\

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010295-FI-GM100075869
Jump To Table - Results

View

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

Limit displaying results to tests within:

AV1 3 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 21 Tests
Compression Tests 3 Tests
CPU Massive 30 Tests
Creator Workloads 24 Tests
Cryptography 2 Tests
Database Test Suite 5 Tests
Encoding 7 Tests
Fortran Tests 7 Tests
Game Development 3 Tests
HPC - High Performance Computing 24 Tests
Imaging 6 Tests
Java 2 Tests
Common Kernel Benchmarks 6 Tests
Machine Learning 12 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 5 Tests
Multi-Core 27 Tests
NVIDIA GPU Compute 7 Tests
OCR 2 Tests
Intel oneAPI 3 Tests
OpenCV Tests 2 Tests
OpenMPI Tests 5 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 9 Tests
Python 4 Tests
Raytracing 2 Tests
Renderers 3 Tests
Scientific Computing 11 Tests
Server 6 Tests
Server CPU Tests 17 Tests
Single-Threaded 7 Tests
Speech 2 Tests
Telephony 2 Tests
Video Encoding 7 Tests
Vulkan Compute 3 Tests
Common Workstation Benchmarks 3 Tests

Statistics

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

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Run 1
October 27 2020
  19 Hours, 56 Minutes
GM-1000
October 28 2020
  18 Hours, 39 Minutes
Extra
October 29 2020
  3 Hours, 47 Minutes
Invert Hiding All Results Option
  14 Hours, 7 Minutes

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

Run 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
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 768
Java Notes: OpenJDK Runtime Environment (build 11.0.9+10-post-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

GM-1000

Extra

Processor: Intel Core i7-9700TE @ 3.80GHz (8 Cores), Motherboard: C OZE GM-1000 v0.0.01.001 (5.13 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: CIE M8 T405 512GB, Graphics: NVIDIA Quadro P2000 4GB (1455/3003MHz), Audio: Realtek ALC888-VD, Monitor: DELL S2409W, Network: Intel I219-LM + 2 x Intel 10G X550T + Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-25-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

GM-1000OpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-9700TE @ 3.80GHz (8 Cores)C OZE GM-1000 v0.0.01.001 (5.13 BIOS)Intel Cannon Lake PCH32GBCIE M8 T405 512GBNVIDIA Quadro P2000 4GB (1455/3003MHz)Realtek ALC888-VDDELL S2409WIntel I219-LM + 2 x Intel 10G X550T + Intel I210Ubuntu 20.105.8.0-25-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9NVIDIA 455.284.6.0OpenCL 1.2 CUDA 11.1.961.2.142GCC 10.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGM-1000 BenchmarksSystem Logs- --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 - NONE / errors=remount-ro,relatime,rw- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3 - GPU Compute Cores: 768- OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1) - Python 3.8.6- 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

Run 1GM-1000ExtraResult OverviewPhoronix Test Suite100%105%109%114%118%IORoneDNNIncompact3DLeelaChessZeroMonte Carlo Simulations of Ionised NebulaeJohn The RipperLibRawLAMMPS Molecular Dynamics SimulatorRealSR-NCNNHigh Performance Conjugate GradientTimed MAFFT AlignmentZstd CompressionFFTEWaifu2x-NCNN VulkanC-BloscBYTE Unix BenchmarkJava Gradle BuildGLmark2PostMarkNAMDWireGuard + Linux Networking Stack Stress TestTimed HMMer SearchDolfynWebP Image EncodeDaCapo Benchmark

GM-1000ior: Write Testior: Read Testpostmark: Disk Transaction Performancerealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yeswaifu2x-ncnn: 2x - 3 - Nowaifu2x-ncnn: 2x - 3 - Yesglmark2: 1920 x 1080wireguard: blosc: blosclzhpcg: lczero: BLASlczero: Eigennamd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicspolyhedron: acpolyhedron: airpolyhedron: mdbxpolyhedron: doducpolyhedron: linpkpolyhedron: tfft2polyhedron: aermodpolyhedron: rnflowpolyhedron: induct2polyhedron: proteinpolyhedron: capacitapolyhedron: channel2polyhedron: fatigue2polyhedron: gas_dyn2polyhedron: test_fpu2polyhedron: mp_prop_designffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchincompact3d: Cylindermafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0lammps: 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 2compress-zstd: 3compress-zstd: 19libraw: Post-Processing Benchmarkjohn-the-ripper: Blowfishjohn-the-ripper: MD5onednn: 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-bitkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastsvt-av1: Enc Mode 0 - 1080psvt-av1: Enc Mode 4 - 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pvpxenc: Speed 0vpxenc: Speed 5x265: Bosphorus 4Kx265: Bosphorus 1080poidn: Memorialopenvkl: vklBenchmarkluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismcompress-7zip: Compress Speed Testavifenc: 0avifenc: 2avifenc: 8avifenc: 10build-apache: Time To Compilebuild-gdb: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Time To Compilebuild-php: Time To Compileyafaray: Total Time For Sample Scenerays1bench: Large Scenenumpy: espeak: Text-To-Speech Synthesisrnnoise: openssl: RSA 4096-bit Performanceleveldb: Hot Readleveldb: Fill Syncleveldb: Fill Syncleveldb: Overwriteleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Fillleveldb: Rand Readleveldb: Seek Randleveldb: Rand Deleteleveldb: Seq Fillleveldb: Seq Fillkeydb: 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 - 50 - Read Writepgbench: 1 - 50 - Read Write - Average Latencyastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivehugin: Panorama Photo Assistant + Stitching Timeocrmypdf: Processing 60 Page PDF Documentoctave-benchmark: rawtherapee: Total Benchmark Timersvg: SVG Files To PNGcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: 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 v1.1cassandra: Writesrocksdb: Rand Fillrocksdb: Rand Readrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingpyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointhint: FLOATai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoregit: Time To Complete Common Git Commandsmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressiontesseract-ocr: Time To OCR 7 Imageskripke: brl-cad: VGR Performance MetricRun 1GM-1000Extra613.58499.50657837.931276.8393.22116.8393441272.7998610.83.703577887654.1995722.2006.012.425.338.333.0522.336.6317.8420.0516.9412.4755.7854.4858.9539.1367.8230256.203386474131.268707.57305911.4763465.0771.7572.79421.1188.59346.982272.521339548706712372036044892.93525.623.327.5777124359528.43494110.9564.6819566.880316.553210.153258.2737616.244112.69156.49966558.657194.5514.354965.87350367.7196.53357.2377.242.019.035.6610.4723.9144.900.0751.455108.1880.365.0619.876.6231.663.9082.080.680.7624588191.631109.8096.6586.25731.651153.823208.8861584.231114.070368.31119.81319.0437.44828.9601519.45.0410.32630.52732.826.95332.427.2894.7895.75026.98032.627.100459827.530.54039254057941633049162672642672775236693249710.044942.1221309750.38271471.4557.859.5775.58617.9073.56038.7938.01592.61024.346420768584311943524066110.18948.8334.3267.48559.12823.9228.386.186.125.216.4810.662.1823.1677.8221.9321.3543.9040.3610.089.052.933.322.283.045.110.987.6632.475.677.9512.9215.64359.288361.89621995730919248370761074178350283070126735311612113819.450628.61161898.9952.045749.47325.475291.98996.527361795957.64298656751140759.02462.8483.3628.573.1226.9632143552342649461.45476.15657837.875276.6243.21416.8683442269.9328600.43.708317847584.1786822.14530890.906674731131.248706.78615311.2683444.8701.7592.78021.1978.57246.982271.428333948336680362136200967.73601.723.327.2676544308349.53324114.2914.8400567.765416.622410.809218.8837116.123612.82036.69517670.341231.3864.385025.91239354.5192.95344.0776.171.999.015.6210.3823.5444.450.0741.446107.7980.065.0919.656.5331.423.7080.390.670.7524110190.816110.7376.6726.28332.115155.395212.6481604.059114.796374.75419.74322.0733.37729.1001492.74.8540.42260.14630.828.73331.128.4594.7485.92826.18732.527.204458524.510.53340636960111803212462783932795245441300248620.0405031.9881283730.39072668.8967.939.9176.98631.6975.78839.6088.00795.48124.631442458942412614025531911.11751.8874.7037.78363.68225.5430.336.616.515.356.9010.252.0723.9983.0723.5622.5347.3343.0810.279.313.003.392.383.105.231.047.8433.335.808.1713.2216.28369.908362.1302073263473924616331981091347380873627035211712213819.350528.41161869.0152.346249.50226.115300.54497.135360309999.31612640732137260.37264.7287.8128.933.1427.1082088958343138465.18483.18646639.387287.2623.29517.3603377273.9938437.53.569327407204.2371222.24530034.454732134131.991755.88511111.0963624.8811.7542.78120.9878.55447.193277.145343549266977372235503304.43552.822.226.32736441302711.34987124.8105.1932871.026917.232212.870311.710616.656113.0804OpenBenchmarking.org

IOR

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

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestGM-1000ExtraRun 1130260390520650SE +/- 32.44, N = 15SE +/- 23.14, N = 15SE +/- 20.22, N = 12461.45465.18613.58MIN: 18.41 / MAX: 691.92MIN: 16.83 / MAX: 823.5MIN: 9.06 / MAX: 870.731. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestGM-1000ExtraRun 1110220330440550Min: 308.94 / Avg: 461.45 / Max: 626.34Min: 348.59 / Avg: 465.18 / Max: 619.12Min: 393.29 / Avg: 613.58 / Max: 658.221. (CC) gcc options: -O2 -lm -pthread -lmpi

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestGM-1000ExtraRun 1110220330440550SE +/- 4.42, N = 15SE +/- 2.74, N = 15SE +/- 3.03, N = 12476.15483.18499.50MIN: 10.65 / MAX: 548.82MIN: 27.08 / MAX: 568.89MIN: 30.23 / MAX: 574.41. (CC) gcc options: -O2 -lm -pthread -lmpi
MinAvgMaxGM-100049.049.751.0OpenBenchmarking.orgCelsius, Fewer Is BetterIOR 3.2.1CPU Temperature Monitor1530456075
OpenBenchmarking.orgCelsius, Fewer Is BetterIOR 3.2.1System Temperature MonitorGM-1000122436486054.0
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestGM-1000ExtraRun 190180270360450Min: 443.63 / Avg: 476.15 / Max: 499.02Min: 463.88 / Avg: 483.18 / Max: 507.62Min: 467.78 / Avg: 499.5 / Max: 507.851. (CC) gcc options: -O2 -lm -pthread -lmpi

PostMark

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

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceExtraRun 1GM-100014002800420056007000SE +/- 56.00, N = 36466657865781. (CC) gcc options: -O3
MinAvgMaxGM-100049.059.262.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostMark 1.51CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPostMark 1.51System Temperature MonitorGM-1000122436486054.0
OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceExtraRun 1GM-100011002200330044005500Min: 6410 / Avg: 6466 / Max: 65781. (CC) gcc options: -O3

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoExtraRun 1GM-1000918273645SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 339.3937.9337.88
MinAvgMaxGM-100050.051.060.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818System Temperature MonitorGM-1000122436486054.0
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoExtraRun 1GM-1000816243240Min: 39.35 / Avg: 39.39 / Max: 39.43Min: 37.75 / Avg: 37.93 / Max: 38.25Min: 37.84 / Avg: 37.88 / Max: 37.92

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesExtraRun 1GM-100060120180240300SE +/- 0.05, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3287.26276.84276.62
MinAvgMaxGM-100050.052.564.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.054.165.0OpenBenchmarking.orgCelsius, Fewer Is BetterRealSR-NCNN 20200818System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesExtraRun 1GM-100050100150200250Min: 287.17 / Avg: 287.26 / Max: 287.35Min: 276.46 / Avg: 276.84 / Max: 277.19Min: 276.49 / Avg: 276.62 / Max: 276.75

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoExtraRun 1GM-10000.74141.48282.22422.96563.707SE +/- 0.004, N = 3SE +/- 0.036, N = 7SE +/- 0.007, N = 93.2953.2213.214
MinAvgMaxGM-100055.056.063.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.062.565.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoExtraRun 1GM-1000246810Min: 3.29 / Avg: 3.29 / Max: 3.3Min: 3.18 / Avg: 3.22 / Max: 3.44Min: 3.19 / Avg: 3.21 / Max: 3.25

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesExtraGM-1000Run 148121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 317.3616.8716.84
MinAvgMaxGM-100055.055.556.0OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818System Temperature MonitorGM-1000153045607565.0
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesExtraGM-1000Run 148121620Min: 17.35 / Avg: 17.36 / Max: 17.38Min: 16.85 / Avg: 16.87 / Max: 16.89Min: 16.83 / Avg: 16.84 / Max: 16.85

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080ExtraRun 1GM-10007001400210028003500337734413442
MinAvgMaxGM-100055.069.472.0OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGLmark2 2020.04System Temperature MonitorGM-1000153045607565.0

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 TestExtraRun 1GM-100060120180240300SE +/- 3.71, N = 3SE +/- 1.04, N = 3SE +/- 2.25, N = 3273.99272.80269.93
MinAvgMaxGM-100059.068.774.0OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestExtraRun 1GM-100050100150200250Min: 269.1 / Avg: 273.99 / Max: 281.27Min: 271.32 / Avg: 272.8 / Max: 274.8Min: 266.32 / Avg: 269.93 / Max: 274.07

C-Blosc

A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzExtraGM-1000Run 12K4K6K8K10KSE +/- 17.57, N = 3SE +/- 11.16, N = 4SE +/- 5.73, N = 38437.58600.48610.81. (CXX) g++ options: -rdynamic
MinAvgMaxGM-100062.069.474.0OpenBenchmarking.orgCelsius, Fewer Is BetterC-Blosc 2.0 Beta 5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.175.0OpenBenchmarking.orgCelsius, Fewer Is BetterC-Blosc 2.0 Beta 5System Temperature Monitor20406080100
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzExtraGM-1000Run 115003000450060007500Min: 8407.9 / Avg: 8437.5 / Max: 8468.7Min: 8567.4 / Avg: 8600.43 / Max: 8614.6Min: 8600.3 / Avg: 8610.83 / Max: 86201. (CXX) g++ options: -rdynamic

High Performance Conjugate Gradient

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

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1ExtraRun 1GM-10000.83441.66882.50323.33764.172SE +/- 0.02421, N = 3SE +/- 0.00326, N = 3SE +/- 0.00058, N = 33.569323.703573.708311. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
MinAvgMaxGM-100061.069.076.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1System Temperature Monitor20406080100
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1ExtraRun 1GM-1000246810Min: 3.54 / Avg: 3.57 / Max: 3.62Min: 3.7 / Avg: 3.7 / Max: 3.71Min: 3.71 / Avg: 3.71 / Max: 3.711. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

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: BLASExtraGM-1000Run 12004006008001000SE +/- 2.19, N = 3SE +/- 6.44, N = 3SE +/- 6.17, N = 37407847881. (CXX) g++ options: -flto -pthread
MinAvgMaxGM-100062.070.578.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26System Temperature Monitor20406080100
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASExtraGM-1000Run 1140280420560700Min: 736 / Avg: 740.33 / Max: 743Min: 771 / Avg: 783.67 / Max: 792Min: 781 / Avg: 787.67 / Max: 8001. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenExtraGM-1000Run 1160320480640800SE +/- 2.19, N = 3SE +/- 2.52, N = 3SE +/- 3.18, N = 37207587651. (CXX) g++ options: -flto -pthread
MinAvgMaxGM-100063.071.379.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterLeelaChessZero 0.26System Temperature Monitor20406080100
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenExtraGM-1000Run 1130260390520650Min: 716 / Avg: 720.33 / Max: 723Min: 755 / Avg: 758 / Max: 763Min: 761 / Avg: 764.67 / Max: 7711. (CXX) g++ options: -flto -pthread

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 AtomsExtraRun 1GM-10000.95341.90682.86023.81364.767SE +/- 0.00186, N = 3SE +/- 0.00287, N = 3SE +/- 0.00286, N = 34.237124.199574.17868
MinAvgMaxGM-100063.071.382.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14System Temperature Monitor20406080100
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsExtraRun 1GM-1000246810Min: 4.23 / Avg: 4.24 / Max: 4.24Min: 4.2 / Avg: 4.2 / Max: 4.21Min: 4.17 / Avg: 4.18 / Max: 4.18

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 DynamicsExtraRun 1GM-1000510152025SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 322.2522.2022.15
MinAvgMaxGM-100063.073.877.0OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterDolfyn 0.527System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsExtraRun 1GM-1000510152025Min: 22.19 / Avg: 22.25 / Max: 22.35Min: 22.01 / Avg: 22.2 / Max: 22.37Min: 22 / Avg: 22.14 / Max: 22.23

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: acRun 12468106.01

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airRun 10.54451.0891.63352.1782.72252.42

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mdbxRun 11.19932.39863.59794.79725.99655.33

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: doducRun 12468108.33

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkRun 10.68631.37262.05892.74523.43153.05

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft2Run 151015202522.33

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: aermodRun 12468106.63

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: rnflowRun 14812162017.84

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: induct2Run 151015202520.05

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinRun 14812162016.94

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: capacitaRun 1369121512.47

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: channel2Run 1132639526555.78

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: fatigue2Run 1122436486054.48

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: gas_dyn2Run 1132639526558.95

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: test_fpu2Run 191827364539.13

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mp_prop_designRun 1153045607567.82

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 RoutineExtraRun 1GM-10007K14K21K28K35KSE +/- 74.99, N = 3SE +/- 57.05, N = 3SE +/- 47.47, N = 1130034.4530256.2030890.911. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
MinAvgMaxGM-100058.064.474.0OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterFFTE 7.0System Temperature Monitor20406080100
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineExtraRun 1GM-10005K10K15K20K25KMin: 29889.31 / Avg: 30034.45 / Max: 30139.73Min: 30159.92 / Avg: 30256.2 / Max: 30357.38Min: 30699.22 / Avg: 30890.91 / Max: 31121.851. (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 SearchExtraRun 1GM-1000306090120150SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3131.99131.27131.251. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
MinAvgMaxGM-100059.067.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed HMMer Search 3.3.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed HMMer Search 3.3.1System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchExtraRun 1GM-100020406080100Min: 131.76 / Avg: 131.99 / Max: 132.22Min: 131.18 / Avg: 131.27 / Max: 131.38Min: 131.21 / Avg: 131.25 / Max: 131.291. (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: CylinderExtraRun 1GM-1000160320480640800SE +/- 2.16, N = 3SE +/- 0.45, N = 3SE +/- 1.81, N = 3755.89707.57706.791. (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.orgCelsius, Fewer Is BetterIncompact3D 2020-09-17CPU Temperature MonitorGM-10001530456075Min: 59 / Avg: 68.96 / Max: 78
OpenBenchmarking.orgCelsius, Fewer Is BetterIncompact3D 2020-09-17System Temperature MonitorGM-10001428425670Min: 64 / Avg: 74.91 / Max: 75
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderExtraRun 1GM-1000130260390520650Min: 751.65 / Avg: 755.89 / Max: 758.79Min: 706.72 / Avg: 707.57 / Max: 708.24Min: 703.74 / Avg: 706.79 / Max: 710.011. (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

Timed MAFFT Alignment

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNARun 1GM-1000Extra3691215SE +/- 0.10, N = 11SE +/- 0.10, N = 11SE +/- 0.19, N = 311.4811.2711.101. (CC) gcc options: -std=c99 -O3 -lm -lpthread
MinAvgMaxGM-100061.070.578.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MAFFT Alignment 7.471CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed MAFFT Alignment 7.471System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNARun 1GM-1000Extra3691215Min: 10.83 / Avg: 11.48 / Max: 11.98Min: 10.64 / Avg: 11.27 / Max: 11.85Min: 10.8 / Avg: 11.1 / Max: 11.441. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Monte Carlo Simulations of Ionised Nebulae

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0ExtraRun 1GM-100080160240320400SE +/- 3.53, N = 3SE +/- 0.67, N = 3SE +/- 1.33, N = 33623463441. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
MinAvgMaxGM-100061.069.076.0OpenBenchmarking.orgCelsius, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0OpenBenchmarking.orgCelsius, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0ExtraRun 1GM-100060120180240300Min: 355 / Avg: 361.67 / Max: 367Min: 345 / Avg: 346.33 / Max: 347Min: 341 / Avg: 343.67 / Max: 3451. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -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 24Aug2020Model: Rhodopsin ProteinGM-1000ExtraRun 11.14232.28463.42694.56925.7115SE +/- 0.047, N = 15SE +/- 0.033, N = 3SE +/- 0.013, N = 34.8704.8815.0771. (CXX) g++ options: -O3 -pthread -lm
MinAvgMaxGM-100062.068.578.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.375.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020System Temperature Monitor20406080100
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinGM-1000ExtraRun 1246810Min: 4.71 / Avg: 4.87 / Max: 5.13Min: 4.82 / Avg: 4.88 / Max: 4.94Min: 5.06 / Avg: 5.08 / Max: 5.11. (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: DefaultGM-1000Run 1Extra0.39580.79161.18741.58321.979SE +/- 0.003, N = 11SE +/- 0.002, N = 3SE +/- 0.001, N = 31.7591.7571.7541. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxGM-100060.064.373.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultGM-1000Run 1Extra246810Min: 1.75 / Avg: 1.76 / Max: 1.78Min: 1.76 / Avg: 1.76 / Max: 1.76Min: 1.75 / Avg: 1.75 / Max: 1.761. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Run 1ExtraGM-10000.62871.25741.88612.51483.1435SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 92.7942.7812.7801. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxGM-100059.064.172.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Run 1ExtraGM-1000246810Min: 2.78 / Avg: 2.79 / Max: 2.8Min: 2.78 / Avg: 2.78 / Max: 2.78Min: 2.78 / Avg: 2.78 / Max: 2.781. (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, LosslessGM-1000Run 1Extra510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 321.2021.1220.991. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxGM-100059.066.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessGM-1000Run 1Extra510152025Min: 21.18 / Avg: 21.2 / Max: 21.21Min: 21.11 / Avg: 21.12 / Max: 21.14Min: 20.84 / Avg: 20.99 / Max: 21.061. (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 CompressionRun 1GM-1000Extra246810SE +/- 0.035, N = 3SE +/- 0.007, N = 5SE +/- 0.005, N = 38.5938.5728.5541. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxGM-100059.066.671.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionRun 1GM-1000Extra3691215Min: 8.55 / Avg: 8.59 / Max: 8.66Min: 8.55 / Avg: 8.57 / Max: 8.58Min: 8.55 / Avg: 8.55 / Max: 8.561. (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 CompressionExtraGM-1000Run 11122334455SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 347.1946.9846.981. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
MinAvgMaxGM-100059.070.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterWebP Image Encode 1.1System Temperature Monitor20406080100
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionExtraGM-1000Run 11020304050Min: 47.14 / Avg: 47.19 / Max: 47.23Min: 46.81 / Avg: 46.98 / Max: 47.09Min: 46.71 / Avg: 46.98 / Max: 47.231. (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: ReactorExtraRun 1GM-100060120180240300SE +/- 1.90, N = 3SE +/- 3.36, N = 9SE +/- 3.29, N = 3277.15272.52271.43
MinAvgMaxGM-100059.070.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterJava Gradle BuildCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterJava Gradle BuildSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorExtraRun 1GM-100050100150200250Min: 273.53 / Avg: 277.15 / Max: 279.96Min: 254.3 / Avg: 272.52 / Max: 291.98Min: 267.43 / Avg: 271.43 / Max: 277.96

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: H2ExtraRun 1GM-10007001400210028003500SE +/- 34.42, N = 20SE +/- 36.99, N = 20SE +/- 39.15, N = 20343533953339
MinAvgMaxGM-100060.067.775.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2ExtraRun 1GM-10006001200180024003000Min: 3173 / Avg: 3435.1 / Max: 3806Min: 3110 / Avg: 3395.4 / Max: 3647Min: 3013 / Avg: 3338.75 / Max: 3706

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonExtraRun 1GM-100011002200330044005500SE +/- 37.20, N = 4SE +/- 37.83, N = 4SE +/- 23.71, N = 6492648704833
MinAvgMaxGM-100060.067.074.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonExtraRun 1GM-10009001800270036004500Min: 4848 / Avg: 4925.75 / Max: 5010Min: 4818 / Avg: 4869.5 / Max: 4982Min: 4762 / Avg: 4832.5 / Max: 4907

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapExtraRun 1GM-100015003000450060007500SE +/- 69.74, N = 20SE +/- 80.79, N = 20SE +/- 85.52, N = 20697767126680
MinAvgMaxGM-100059.068.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapExtraRun 1GM-100012002400360048006000Min: 5884 / Avg: 6976.5 / Max: 7428Min: 5668 / Avg: 6712 / Max: 7022Min: 5549 / Avg: 6679.85 / Max: 7130

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansExtraRun 1GM-10008001600240032004000SE +/- 43.41, N = 4SE +/- 13.49, N = 4SE +/- 30.71, N = 5372237203621
MinAvgMaxGM-100060.068.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 9.12-MR1System Temperature Monitor20406080100
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansExtraRun 1GM-10006001200180024003000Min: 3612 / Avg: 3721.75 / Max: 3824Min: 3694 / Avg: 3719.75 / Max: 3745Min: 3510 / Avg: 3621.4 / Max: 3686

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 2ExtraRun 1GM-10008M16M24M32M40MSE +/- 307241.89, N = 3SE +/- 46914.16, N = 3SE +/- 15338.08, N = 335503304.436044892.936200967.7
MinAvgMaxGM-100057.064.674.0OpenBenchmarking.orgCelsius, Fewer Is BetterBYTE Unix Benchmark 3.6CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterBYTE Unix Benchmark 3.6System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2ExtraRun 1GM-10006M12M18M24M30MMin: 35051667.9 / Avg: 35503304.4 / Max: 36089970.4Min: 35953351.2 / Avg: 36044892.9 / Max: 36108493.6Min: 36181160.5 / Avg: 36200967.7 / Max: 36231157.4

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Run 1ExtraGM-10008001600240032004000SE +/- 35.72, N = 3SE +/- 7.24, N = 3SE +/- 4.91, N = 33525.63552.83601.71. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxGM-100057.066.473.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Run 1ExtraGM-10006001200180024003000Min: 3458.6 / Avg: 3525.57 / Max: 3580.6Min: 3538.6 / Avg: 3552.83 / Max: 3562.3Min: 3596 / Avg: 3601.73 / Max: 3611.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19ExtraRun 1GM-1000612182430SE +/- 0.27, N = 4SE +/- 0.27, N = 3SE +/- 0.25, N = 322.223.323.31. (CC) gcc options: -O3 -pthread -lz -llzma
MinAvgMaxGM-100058.067.172.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.4.5System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19ExtraRun 1GM-1000510152025Min: 21.7 / Avg: 22.15 / Max: 22.9Min: 23 / Avg: 23.27 / Max: 23.8Min: 23 / Avg: 23.3 / Max: 23.81. (CC) gcc options: -O3 -pthread -lz -llzma

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 BenchmarkExtraGM-1000Run 1612182430SE +/- 0.25, N = 3SE +/- 0.32, N = 3SE +/- 0.31, N = 326.3227.2627.571. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
MinAvgMaxGM-100059.069.974.0OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterLibRaw 0.20System Temperature Monitor20406080100
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkExtraGM-1000Run 1612182430Min: 26.01 / Avg: 26.32 / Max: 26.82Min: 26.9 / Avg: 27.26 / Max: 27.9Min: 27.25 / Avg: 27.57 / Max: 28.181. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishExtraGM-1000Run 117003400510068008500SE +/- 111.84, N = 3SE +/- 60.95, N = 13SE +/- 113.08, N = 47364765477121. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
MinAvgMaxGM-100060.068.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.375.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1System Temperature Monitor20406080100
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishExtraGM-1000Run 113002600390052006500Min: 7250 / Avg: 7364.33 / Max: 7588Min: 7579 / Avg: 7653.77 / Max: 8385Min: 7598 / Avg: 7711.75 / Max: 80511. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5ExtraGM-1000Run 190K180K270K360K450KSE +/- 5262.95, N = 5SE +/- 3391.63, N = 15SE +/- 5832.73, N = 54130274308344359521. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
MinAvgMaxGM-100060.068.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1System Temperature Monitor20406080100
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5ExtraGM-1000Run 180K160K240K320K400KMin: 407321 / Avg: 413026.6 / Max: 434073Min: 424345 / Avg: 430834 / Max: 477696Min: 429004 / Avg: 435952.2 / Max: 4592381. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUExtraGM-1000Run 13691215SE +/- 0.27922, N = 12SE +/- 0.22450, N = 15SE +/- 0.24013, N = 1211.349879.533248.43494MIN: 7.03MIN: 6.67MIN: 5.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.278.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.475.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUExtraGM-1000Run 13691215Min: 8.35 / Avg: 11.35 / Max: 11.89Min: 6.94 / Avg: 9.53 / Max: 10.46Min: 5.82 / Avg: 8.43 / Max: 8.911. (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: CPUExtraGM-1000Run 1306090120150SE +/- 0.47, N = 3SE +/- 0.53, N = 3SE +/- 0.40, N = 3124.81114.29110.96MIN: 109.72MIN: 99.97MIN: 97.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.174.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUExtraGM-1000Run 120406080100Min: 123.93 / Avg: 124.81 / Max: 125.56Min: 113.26 / Avg: 114.29 / Max: 115Min: 110.17 / Avg: 110.96 / Max: 111.431. (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: CPUExtraGM-1000Run 11.16852.3373.50554.6745.8425SE +/- 0.10663, N = 12SE +/- 0.10124, N = 15SE +/- 0.11241, N = 125.193284.840054.68195MIN: 3.68MIN: 3.33MIN: 3.251. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.479.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.575.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 1246810Min: 4.02 / Avg: 5.19 / Max: 5.36Min: 3.42 / Avg: 4.84 / Max: 4.98Min: 3.45 / Avg: 4.68 / Max: 4.81. (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: CPUExtraGM-1000Run 11632486480SE +/- 0.54, N = 3SE +/- 0.33, N = 3SE +/- 0.16, N = 371.0367.7766.88MIN: 61.7MIN: 59.54MIN: 58.831. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.677.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 11428425670Min: 70.38 / Avg: 71.03 / Max: 72.1Min: 67.23 / Avg: 67.77 / Max: 68.36Min: 66.71 / Avg: 66.88 / Max: 67.191. (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: CPUExtraGM-1000Run 148121620SE +/- 0.11, N = 3SE +/- 0.05, N = 7SE +/- 0.05, N = 317.2316.6216.55MIN: 16.52MIN: 16.36MIN: 16.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.576.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.975.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUExtraGM-1000Run 148121620Min: 17.01 / Avg: 17.23 / Max: 17.35Min: 16.47 / Avg: 16.62 / Max: 16.78Min: 16.45 / Avg: 16.55 / Max: 16.611. (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: CPUExtraGM-1000Run 13691215SE +/- 0.14, N = 3SE +/- 0.15, N = 13SE +/- 0.12, N = 612.8710.8110.15MIN: 10.64MIN: 6.79MIN: 8.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.478.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUExtraGM-1000Run 148121620Min: 12.58 / Avg: 12.87 / Max: 13.03Min: 9.07 / Avg: 10.81 / Max: 11.29Min: 9.58 / Avg: 10.15 / Max: 10.31. (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: CPUExtraGM-1000Run 13691215SE +/- 0.15846, N = 3SE +/- 0.08092, N = 15SE +/- 0.02350, N = 311.710608.883718.27376MIN: 10.78MIN: 8.11MIN: 8.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.067.977.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.675.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUExtraGM-1000Run 13691215Min: 11.4 / Avg: 11.71 / Max: 11.91Min: 8.34 / Avg: 8.88 / Max: 9.44Min: 8.23 / Avg: 8.27 / Max: 8.311. (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: CPUExtraRun 1GM-100048121620SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 616.6616.2416.12MIN: 15.93MIN: 15.99MIN: 15.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.174.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.475.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUExtraRun 1GM-100048121620Min: 16.52 / Avg: 16.66 / Max: 16.8Min: 16.2 / Avg: 16.24 / Max: 16.31Min: 16.07 / Avg: 16.12 / Max: 16.181. (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: CPUExtraGM-1000Run 13691215SE +/- 0.14, N = 3SE +/- 0.14, N = 12SE +/- 0.20, N = 313.0812.8212.69MIN: 10.8MIN: 8.95MIN: 10.891. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.879.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.076.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 148121620Min: 12.79 / Avg: 13.08 / Max: 13.26Min: 11.33 / Avg: 12.82 / Max: 13Min: 12.31 / Avg: 12.69 / Max: 12.951. (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: CPUGM-1000Run 1246810SE +/- 0.01402, N = 9SE +/- 0.01576, N = 36.695176.49966MIN: 6.49MIN: 6.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.177.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.068.475.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUGM-1000Run 13691215Min: 6.64 / Avg: 6.7 / Max: 6.74Min: 6.47 / Avg: 6.5 / Max: 6.521. (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: CPUGM-1000Run 1140280420560700SE +/- 8.43, N = 3SE +/- 1.10, N = 3670.34558.66MIN: 612.85MIN: 512.241. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.677.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUGM-1000Run 1120240360480600Min: 653.52 / Avg: 670.34 / Max: 679.85Min: 556.94 / Avg: 558.66 / Max: 560.721. (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: CPUGM-1000Run 150100150200250SE +/- 0.93, N = 3SE +/- 2.57, N = 5231.39194.55MIN: 223.49MIN: 182.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.376.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.475.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUGM-1000Run 14080120160200Min: 229.67 / Avg: 231.39 / Max: 232.85Min: 186.96 / Avg: 194.55 / Max: 202.831. (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: CPUGM-1000Run 10.98661.97322.95983.94644.933SE +/- 0.04995, N = 4SE +/- 0.03755, N = 124.385024.35496MIN: 4.02MIN: 3.911. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUGM-1000Run 1246810Min: 4.24 / Avg: 4.39 / Max: 4.45Min: 3.94 / Avg: 4.35 / Max: 4.411. (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: CPUGM-1000Run 11.33032.66063.99095.32126.6515SE +/- 0.05068, N = 15SE +/- 0.03696, N = 35.912395.87350MIN: 4.17MIN: 4.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMaxGM-100061.068.979.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.275.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUGM-1000Run 1246810Min: 5.21 / Avg: 5.91 / Max: 5.99Min: 5.84 / Avg: 5.87 / Max: 5.951. (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 1080pGM-1000Run 180160240320400SE +/- 2.32, N = 3SE +/- 1.32, N = 3354.51367.71MIN: 226.96 / MAX: 562.8MIN: 232.75 / MAX: 584.381. (CC) gcc options: -pthread
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature MonitorGM-10001530456075Min: 61 / Avg: 69.66 / Max: 76
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature MonitorGM-10001428425670Min: 64 / Avg: 74.79 / Max: 75
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pGM-1000Run 170140210280350Min: 350.42 / Avg: 354.51 / Max: 358.46Min: 365.26 / Avg: 367.71 / Max: 369.761. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KGM-1000Run 120406080100SE +/- 1.39, N = 4SE +/- 1.49, N = 392.9596.53MIN: 77.22 / MAX: 122.95MIN: 80.52 / MAX: 123.951. (CC) gcc options: -pthread
MinAvgMaxGM-100059.068.776.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature Monitor20406080100
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KGM-1000Run 120406080100Min: 91.52 / Avg: 92.95 / Max: 97.13Min: 94.96 / Avg: 96.53 / Max: 99.521. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pGM-1000Run 180160240320400SE +/- 0.50, N = 3SE +/- 0.69, N = 3344.07357.23MIN: 298.25 / MAX: 380.67MIN: 301.41 / MAX: 391.961. (CC) gcc options: -pthread
MinAvgMaxGM-100059.069.475.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.175.0OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature Monitor20406080100
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pGM-1000Run 160120180240300Min: 343.12 / Avg: 344.07 / Max: 344.8Min: 355.87 / Avg: 357.23 / Max: 358.121. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitGM-1000Run 120406080100SE +/- 0.61, N = 3SE +/- 0.16, N = 376.1777.24MIN: 47.76 / MAX: 187.8MIN: 48.58 / MAX: 189.841. (CC) gcc options: -pthread
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0CPU Temperature MonitorGM-10001428425670Min: 59 / Avg: 69.19 / Max: 74
OpenBenchmarking.orgCelsius, Fewer Is Betterdav1d 0.7.0System Temperature MonitorGM-10001428425670Min: 64 / Avg: 71.18 / Max: 75
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitGM-1000Run 11530456075Min: 75.47 / Avg: 76.17 / Max: 77.38Min: 77.06 / Avg: 77.24 / Max: 77.561. (CC) gcc options: -pthread

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: MediumGM-1000Run 10.45230.90461.35691.80922.2615SE +/- 0.01, N = 3SE +/- 0.01, N = 31.992.011. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100059.067.577.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumGM-1000Run 1246810Min: 1.97 / Avg: 1.99 / Max: 2.01Min: 2 / Avg: 2.01 / Max: 2.021. (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: MediumGM-1000Run 13691215SE +/- 0.15, N = 3SE +/- 0.08, N = 39.019.031. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100060.068.078.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumGM-1000Run 13691215Min: 8.86 / Avg: 9.01 / Max: 9.3Min: 8.95 / Avg: 9.03 / Max: 9.191. (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: Very FastGM-1000Run 11.27352.5473.82055.0946.3675SE +/- 0.06, N = 3SE +/- 0.04, N = 35.625.661. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100060.068.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastGM-1000Run 1246810Min: 5.56 / Avg: 5.62 / Max: 5.74Min: 5.61 / Avg: 5.66 / Max: 5.731. (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 FastGM-1000Run 13691215SE +/- 0.15, N = 4SE +/- 0.13, N = 310.3810.471. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100061.068.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastGM-1000Run 13691215Min: 10.22 / Avg: 10.38 / Max: 10.81Min: 10.32 / Avg: 10.47 / Max: 10.731. (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 FastGM-1000Run 1612182430SE +/- 0.24, N = 14SE +/- 0.27, N = 723.5423.911. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100061.068.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.375.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastGM-1000Run 1612182430Min: 23.26 / Avg: 23.54 / Max: 26.62Min: 23.58 / Avg: 23.91 / Max: 25.51. (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 FastGM-1000Run 11020304050SE +/- 0.87, N = 15SE +/- 0.52, N = 1344.4544.901. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxGM-100061.068.678.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastGM-1000Run 1918273645Min: 43.3 / Avg: 44.45 / Max: 56.57Min: 44.28 / Avg: 44.9 / Max: 51.181. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pGM-1000Run 10.01690.03380.05070.06760.0845SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0740.0751. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxGM-100061.071.279.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pGM-1000Run 112345Min: 0.07 / Avg: 0.07 / Max: 0.08Min: 0.07 / Avg: 0.07 / Max: 0.081. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pGM-1000Run 10.32740.65480.98221.30961.637SE +/- 0.025, N = 3SE +/- 0.015, N = 31.4461.4551. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
MinAvgMaxGM-100061.069.380.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pGM-1000Run 1246810Min: 1.42 / Avg: 1.45 / Max: 1.5Min: 1.44 / Avg: 1.45 / Max: 1.491. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pGM-1000Run 120406080100SE +/- 1.68, N = 15SE +/- 1.32, N = 15107.79108.181. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxGM-100061.068.677.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.070.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pGM-1000Run 120406080100Min: 104.13 / Avg: 107.79 / Max: 124.02Min: 105.65 / Avg: 108.18 / Max: 122.551. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pGM-1000Run 120406080100SE +/- 1.58, N = 15SE +/- 1.33, N = 1580.0680.361. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxGM-100061.068.678.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pGM-1000Run 11530456075Min: 77.55 / Avg: 80.06 / Max: 98.98Min: 78.63 / Avg: 80.36 / Max: 98.911. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Run 1GM-10001.14532.29063.43594.58125.7265SE +/- 0.04, N = 3SE +/- 0.03, N = 35.065.091. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
MinAvgMaxGM-100061.071.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Run 1GM-1000246810Min: 5.02 / Avg: 5.06 / Max: 5.13Min: 5.05 / Avg: 5.09 / Max: 5.151. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5GM-1000Run 1510152025SE +/- 0.20, N = 8SE +/- 0.30, N = 319.6519.871. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
MinAvgMaxGM-100061.070.877.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterVP9 libvpx Encoding 1.8.2System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5GM-1000Run 1510152025Min: 19.38 / Avg: 19.65 / Max: 21.02Min: 19.48 / Avg: 19.87 / Max: 20.471. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

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 4KGM-1000Run 1246810SE +/- 0.05, N = 3SE +/- 0.02, N = 36.536.621. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxGM-100061.069.680.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.575.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KGM-1000Run 13691215Min: 6.47 / Avg: 6.53 / Max: 6.64Min: 6.58 / Avg: 6.62 / Max: 6.661. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pGM-1000Run 1714212835SE +/- 0.37, N = 13SE +/- 0.33, N = 831.4231.661. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxGM-100061.069.078.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.076.0OpenBenchmarking.orgCelsius, Fewer Is Betterx265 3.4System Temperature Monitor20406080100
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pGM-1000Run 1714212835Min: 30.88 / Avg: 31.42 / Max: 35.8Min: 31.27 / Avg: 31.66 / Max: 33.971. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialGM-1000Run 10.87751.7552.63253.514.3875SE +/- 0.04, N = 6SE +/- 0.05, N = 33.703.90
MinAvgMaxGM-100061.068.677.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.2.0System Temperature Monitor20406080100
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialGM-1000Run 1246810Min: 3.65 / Avg: 3.7 / Max: 3.91Min: 3.84 / Avg: 3.9 / Max: 4

OpenVKL

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

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkGM-1000Run 120406080100SE +/- 0.39, N = 3SE +/- 0.05, N = 380.3982.08MIN: 1 / MAX: 345MIN: 1 / MAX: 353
MinAvgMaxGM-100061.072.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9System Temperature Monitor20406080100
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkGM-1000Run 11632486480Min: 79.75 / Avg: 80.39 / Max: 81.08Min: 82 / Avg: 82.08 / Max: 82.17

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCGM-1000Run 10.1530.3060.4590.6120.765SE +/- 0.01, N = 15SE +/- 0.01, N = 40.670.68MIN: 0.59 / MAX: 0.97MIN: 0.61 / MAX: 0.96
MinAvgMaxGM-100061.068.377.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3System Temperature Monitor20406080100
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCGM-1000Run 1246810Min: 0.65 / Avg: 0.67 / Max: 0.75Min: 0.66 / Avg: 0.68 / Max: 0.71

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismGM-1000Run 10.1710.3420.5130.6840.855SE +/- 0.01, N = 12SE +/- 0.01, N = 50.750.76MIN: 0.65 / MAX: 1.15MIN: 0.67 / MAX: 1.12
MinAvgMaxGM-100061.068.578.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterLuxCoreRender 2.3System Temperature Monitor20406080100
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismGM-1000Run 1246810Min: 0.73 / Avg: 0.75 / Max: 0.83Min: 0.74 / Avg: 0.76 / Max: 0.79

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestGM-1000Run 15K10K15K20K25KSE +/- 339.20, N = 4SE +/- 298.07, N = 624110245881. (CXX) g++ options: -pipe -lpthread
MinAvgMaxGM-100061.069.276.0OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.775.0OpenBenchmarking.orgCelsius, Fewer Is Better7-Zip Compression 16.02System Temperature Monitor20406080100
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestGM-1000Run 14K8K12K16K20KMin: 23670 / Avg: 24110 / Max: 25117Min: 24175 / Avg: 24587.83 / Max: 260721. (CXX) g++ options: -pipe -lpthread

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Run 1GM-10004080120160200SE +/- 1.18, N = 3SE +/- 0.11, N = 3191.63190.821. (CXX) g++ options: -O3 -fPIC
MinAvgMaxGM-100061.069.578.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Run 1GM-10004080120160200Min: 190.35 / Avg: 191.63 / Max: 193.99Min: 190.69 / Avg: 190.82 / Max: 191.041. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2GM-1000Run 120406080100SE +/- 1.76, N = 3SE +/- 0.67, N = 3110.74109.811. (CXX) g++ options: -O3 -fPIC
MinAvgMaxGM-100061.069.478.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2GM-1000Run 120406080100Min: 107.37 / Avg: 110.74 / Max: 113.32Min: 108.51 / Avg: 109.81 / Max: 110.741. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8GM-1000Run 1246810SE +/- 0.014, N = 6SE +/- 0.001, N = 36.6726.6581. (CXX) g++ options: -O3 -fPIC
MinAvgMaxGM-100060.069.077.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.975.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8GM-1000Run 13691215Min: 6.65 / Avg: 6.67 / Max: 6.73Min: 6.66 / Avg: 6.66 / Max: 6.661. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10GM-1000Run 1246810SE +/- 0.007, N = 7SE +/- 0.002, N = 36.2836.2571. (CXX) g++ options: -O3 -fPIC
MinAvgMaxGM-100060.067.477.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.475.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.7.3System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10GM-1000Run 13691215Min: 6.25 / Avg: 6.28 / Max: 6.31Min: 6.25 / Avg: 6.26 / Max: 6.261. (CXX) g++ options: -O3 -fPIC

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileGM-1000Run 1714212835SE +/- 0.35, N = 7SE +/- 0.37, N = 632.1231.65
MinAvgMaxGM-100060.069.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Apache Compilation 2.4.41System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileGM-1000Run 1714212835Min: 30 / Avg: 32.12 / Max: 32.56Min: 29.79 / Avg: 31.65 / Max: 32.1

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileGM-1000Run 1306090120150SE +/- 0.70, N = 3SE +/- 0.36, N = 3155.40153.82
MinAvgMaxGM-100060.068.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileGM-1000Run 1306090120150Min: 154.06 / Avg: 155.39 / Max: 156.42Min: 153.13 / Avg: 153.82 / Max: 154.32

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 CompileGM-1000Run 150100150200250SE +/- 0.47, N = 3SE +/- 0.16, N = 3212.65208.89
MinAvgMaxGM-100061.068.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.4System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileGM-1000Run 14080120160200Min: 211.76 / Avg: 212.65 / Max: 213.35Min: 208.65 / Avg: 208.89 / Max: 209.18

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 CompileGM-1000Run 130060090012001500SE +/- 1.30, N = 3SE +/- 3.20, N = 31604.061584.23
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0CPU Temperature MonitorGM-10001530456075Min: 61 / Avg: 69.21 / Max: 78
OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 10.0System Temperature MonitorGM-10001428425670Min: 64 / Avg: 74.93 / Max: 75
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileGM-1000Run 130060090012001500Min: 1602.47 / Avg: 1604.06 / Max: 1606.63Min: 1579.87 / Avg: 1584.23 / Max: 1590.47

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileGM-1000Run 1306090120150SE +/- 0.58, N = 3SE +/- 0.10, N = 3114.80114.07
MinAvgMaxGM-100063.070.679.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed PHP Compilation 7.4.2System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileGM-1000Run 120406080100Min: 113.64 / Avg: 114.8 / Max: 115.38Min: 113.87 / Avg: 114.07 / Max: 114.22

YafaRay

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

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneGM-1000Run 180160240320400SE +/- 2.21, N = 3SE +/- 1.61, N = 3374.75368.311. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
MinAvgMaxGM-100062.069.179.0OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterYafaRay 3.4.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneGM-1000Run 170140210280350Min: 370.45 / Avg: 374.75 / Max: 377.78Min: 365.54 / Avg: 368.31 / Max: 371.111. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneGM-1000Run 1510152025SE +/- 0.19, N = 3SE +/- 0.01, N = 319.7419.81
MinAvgMaxGM-100061.069.378.0OpenBenchmarking.orgCelsius, Fewer Is Betterrays1bench 2020-01-09CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.475.0OpenBenchmarking.orgCelsius, Fewer Is Betterrays1bench 2020-01-09System Temperature Monitor20406080100
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneGM-1000Run 1510152025Min: 19.54 / Avg: 19.74 / Max: 20.12Min: 19.79 / Avg: 19.81 / Max: 19.83

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRun 1GM-100070140210280350SE +/- 0.38, N = 3SE +/- 0.61, N = 3319.04322.07
MinAvgMaxGM-100060.072.876.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumpy BenchmarkSystem Temperature Monitor20406080100
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRun 1GM-100060120180240300Min: 318.29 / Avg: 319.04 / Max: 319.54Min: 321.05 / Avg: 322.07 / Max: 323.15

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisRun 1GM-1000918273645SE +/- 0.61, N = 20SE +/- 0.19, N = 437.4533.381. (CC) gcc options: -O2 -std=c99
MinAvgMaxGM-100059.068.671.0OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisRun 1GM-1000816243240Min: 31.27 / Avg: 37.45 / Max: 41.09Min: 32.84 / Avg: 33.38 / Max: 33.671. (CC) gcc options: -O2 -std=c99

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 2020-06-28GM-1000Run 1714212835SE +/- 0.17, N = 3SE +/- 0.05, N = 329.1028.961. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxGM-100058.068.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterRNNoise 2020-06-28System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28GM-1000Run 1612182430Min: 28.92 / Avg: 29.1 / Max: 29.44Min: 28.87 / Avg: 28.96 / Max: 29.041. (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 PerformanceGM-1000Run 130060090012001500SE +/- 29.90, N = 15SE +/- 26.50, N = 151492.71519.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxGM-100058.067.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.375.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1System Temperature Monitor20406080100
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceGM-1000Run 130060090012001500Min: 1440.2 / Avg: 1492.68 / Max: 1909.1Min: 1457.3 / Avg: 1519.43 / Max: 18881. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

LevelDB

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

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadRun 1GM-10001.13422.26843.40264.53685.671SE +/- 0.048, N = 15SE +/- 0.045, N = 155.0414.8541. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100059.066.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadRun 1GM-1000246810Min: 4.8 / Avg: 5.04 / Max: 5.46Min: 4.59 / Avg: 4.85 / Max: 5.131. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncRun 1GM-10000.090.180.270.360.45SE +/- 0.02, N = 15SE +/- 0.00, N = 100.30.41. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncRun 1GM-100012345Min: 0.2 / Avg: 0.34 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncRun 1GM-10006001200180024003000SE +/- 194.67, N = 15SE +/- 8.65, N = 102630.532260.151. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100058.058.760.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncRun 1GM-10005001000150020002500Min: 2096.97 / Avg: 2630.53 / Max: 3963.51Min: 2218.02 / Avg: 2260.15 / Max: 2294.611. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000Run 1816243240SE +/- 0.26, N = 15SE +/- 0.15, N = 330.832.81. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000Run 1714212835Min: 29.4 / Avg: 30.77 / Max: 32.4Min: 32.5 / Avg: 32.77 / Max: 331. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000Run 1714212835SE +/- 0.24, N = 15SE +/- 0.12, N = 328.7326.951. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100057.060.967.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000Run 1612182430Min: 27.31 / Avg: 28.73 / Max: 30.06Min: 26.75 / Avg: 26.95 / Max: 27.171. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillGM-1000Run 1816243240SE +/- 0.32, N = 15SE +/- 0.12, N = 331.132.41. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillGM-1000Run 1714212835Min: 29.5 / Avg: 31.1 / Max: 32.5Min: 32.2 / Avg: 32.4 / Max: 32.61. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillGM-1000Run 1714212835SE +/- 0.30, N = 15SE +/- 0.10, N = 328.4627.291. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100057.060.868.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillGM-1000Run 1612182430Min: 27.23 / Avg: 28.46 / Max: 29.99Min: 27.11 / Avg: 27.29 / Max: 27.451. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadRun 1GM-10001.07752.1553.23254.315.3875SE +/- 0.075, N = 3SE +/- 0.022, N = 84.7894.7481. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100057.063.670.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadRun 1GM-1000246810Min: 4.68 / Avg: 4.79 / Max: 4.93Min: 4.65 / Avg: 4.75 / Max: 4.821. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomGM-1000Run 11.33382.66764.00145.33526.669SE +/- 0.070, N = 15SE +/- 0.056, N = 35.9285.7501. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100058.065.071.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomGM-1000Run 1246810Min: 5.43 / Avg: 5.93 / Max: 6.16Min: 5.64 / Avg: 5.75 / Max: 5.831. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteRun 1GM-1000612182430SE +/- 0.23, N = 15SE +/- 0.34, N = 426.9826.191. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100058.065.072.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteRun 1GM-1000612182430Min: 25.37 / Avg: 26.98 / Max: 28.57Min: 25.66 / Avg: 26.19 / Max: 27.111. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillGM-1000Run 1816243240SE +/- 0.41, N = 5SE +/- 0.31, N = 932.532.61. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillGM-1000Run 1714212835Min: 31.4 / Avg: 32.52 / Max: 33.8Min: 31.6 / Avg: 32.6 / Max: 34.21. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillGM-1000Run 1612182430SE +/- 0.33, N = 5SE +/- 0.25, N = 927.2027.101. (CXX) g++ options: -O3 -lsnappy -lpthread
MinAvgMaxGM-100058.064.970.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillGM-1000Run 1612182430Min: 26.18 / Avg: 27.2 / Max: 28.14Min: 25.8 / Avg: 27.1 / Max: 27.971. (CXX) g++ options: -O3 -lsnappy -lpthread

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 6.0.16GM-1000Run 1100K200K300K400K500KSE +/- 3781.40, N = 3SE +/- 2753.95, N = 3458524.51459827.531. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
MinAvgMaxGM-100058.065.373.0OpenBenchmarking.orgCelsius, Fewer Is BetterKeyDB 6.0.16CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterKeyDB 6.0.16System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16GM-1000Run 180K160K240K320K400KMin: 454149.5 / Avg: 458524.51 / Max: 466054.44Min: 456124.57 / Avg: 459827.53 / Max: 465210.131. (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 BenchmarkGM-1000Run 10.12150.2430.36450.4860.6075SE +/- 0.001, N = 3SE +/- 0.002, N = 30.5330.5401. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
MinAvgMaxGM-100058.067.577.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2020.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.775.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2020.3System Temperature Monitor20406080100
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkGM-1000Run 1246810Min: 0.53 / Avg: 0.53 / Max: 0.54Min: 0.54 / Avg: 0.54 / Max: 0.541. (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: SqueezeNetGM-1000Run 190K180K270K360K450KSE +/- 5447.42, N = 4SE +/- 4043.35, N = 3406369392540
MinAvgMaxGM-100060.068.978.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetGM-1000Run 170K140K210K280K350KMin: 390032 / Avg: 406369.25 / Max: 412184Min: 384454 / Avg: 392540.33 / Max: 396651

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4GM-1000Run 11.3M2.6M3.9M5.2M6.5MSE +/- 34182.46, N = 3SE +/- 22366.69, N = 360111805794163
MinAvgMaxGM-100061.069.077.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4GM-1000Run 11000K2000K3000K4000K5000KMin: 5942980 / Avg: 6011180 / Max: 6049390Min: 5749430 / Avg: 5794163.33 / Max: 5816590

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileGM-1000Run 170K140K210K280K350KSE +/- 4505.57, N = 4SE +/- 3175.48, N = 3321246304916
MinAvgMaxGM-100061.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileGM-1000Run 160K120K180K240K300KMin: 307741 / Avg: 321246 / Max: 326227Min: 298572 / Avg: 304915.67 / Max: 308351

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatGM-1000Run 160K120K180K240K300KSE +/- 4495.68, N = 3SE +/- 2726.50, N = 3278393267264
MinAvgMaxGM-100061.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatGM-1000Run 150K100K150K200K250KMin: 269404 / Avg: 278393 / Max: 283066Min: 261811 / Avg: 267264 / Max: 269993

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantGM-1000Run 160K120K180K240K300KSE +/- 4770.18, N = 3SE +/- 2723.19, N = 3279524267277
MinAvgMaxGM-100061.069.378.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantGM-1000Run 150K100K150K200K250KMin: 269984 / Avg: 279524.33 / Max: 284312Min: 261831 / Avg: 267277.33 / Max: 270018

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2GM-1000Run 11.2M2.4M3.6M4.8M6MSE +/- 40177.63, N = 3SE +/- 19776.99, N = 354413005236693
MinAvgMaxGM-100061.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23System Temperature Monitor20406080100
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2GM-1000Run 1900K1800K2700K3600K4500KMin: 5360970 / Avg: 5441300 / Max: 5483210Min: 5197150 / Avg: 5236693.33 / Max: 5257260

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 OnlyGM-1000Run 15K10K15K20K25KSE +/- 159.81, N = 3SE +/- 169.75, N = 324862249711. (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 OnlyGM-1000Run 14K8K12K16K20KMin: 24664.47 / Avg: 24861.59 / Max: 25178.04Min: 24733.65 / Avg: 24970.94 / Max: 25299.851. (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 LatencyGM-1000Run 10.0090.0180.0270.0360.045SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0400.0401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxGM-100060.064.570.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyGM-1000Run 112345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.041. (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 WriteRun 1GM-1000110220330440550SE +/- 35.12, N = 12SE +/- 4.74, N = 34945031. (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 WriteRun 1GM-100090180270360450Min: 381.52 / Avg: 494.19 / Max: 725.76Min: 495.71 / Avg: 503.09 / Max: 511.931. (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 LatencyRun 1GM-10000.47750.9551.43251.912.3875SE +/- 0.128, N = 12SE +/- 0.018, N = 32.1221.9881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxGM-100058.058.960.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyRun 1GM-1000246810Min: 1.38 / Avg: 2.12 / Max: 2.62Min: 1.95 / Avg: 1.99 / Max: 2.021. (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 OnlyGM-1000Run 130K60K90K120K150KSE +/- 1251.67, N = 15SE +/- 1095.46, N = 151283731309751. (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 OnlyGM-1000Run 120K40K60K80K100KMin: 125521.71 / Avg: 128373.27 / Max: 144975.27Min: 127987.22 / Avg: 130974.62 / Max: 144962.181. (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 LatencyGM-1000Run 10.08780.17560.26340.35120.439SE +/- 0.003, N = 15SE +/- 0.003, N = 150.3900.3821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxGM-100057.065.274.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.175.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyGM-1000Run 112345Min: 0.35 / Avg: 0.39 / Max: 0.4Min: 0.35 / Avg: 0.38 / Max: 0.391. (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 WriteRun 1GM-1000160320480640800SE +/- 25.15, N = 15SE +/- 3.31, N = 37147261. (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 WriteRun 1GM-1000130260390520650Min: 529.79 / Avg: 713.79 / Max: 814.18Min: 721.69 / Avg: 725.84 / Max: 732.381. (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 LatencyRun 1GM-10001632486480SE +/- 2.85, N = 15SE +/- 0.31, N = 371.4668.901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
MinAvgMaxGM-100058.059.060.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480
OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyRun 1GM-10001428425670Min: 61.42 / Avg: 71.46 / Max: 94.39Min: 68.28 / Avg: 68.9 / Max: 69.291. (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: FastGM-1000Run 1246810SE +/- 0.01, N = 6SE +/- 0.00, N = 37.937.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxGM-100058.066.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.067.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastGM-1000Run 13691215Min: 7.9 / Avg: 7.93 / Max: 7.98Min: 7.85 / Avg: 7.85 / Max: 7.861. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumGM-1000Run 13691215SE +/- 0.16, N = 15SE +/- 0.15, N = 159.919.571. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxGM-100059.068.576.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumGM-1000Run 13691215Min: 7.99 / Avg: 9.91 / Max: 10.16Min: 7.94 / Avg: 9.57 / Max: 9.861. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughGM-1000Run 120406080100SE +/- 1.07, N = 3SE +/- 0.54, N = 376.9875.581. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
MinAvgMaxGM-100059.067.976.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughGM-1000Run 11530456075Min: 74.85 / Avg: 76.98 / Max: 78.19Min: 74.51 / Avg: 75.58 / Max: 76.131. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveGM-1000Run 1140280420560700SE +/- 0.59, N = 3SE +/- 0.80, N = 3631.69617.901. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature MonitorGM-10001530456075Min: 60 / Avg: 68.49 / Max: 77
OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature MonitorGM-10001428425670Min: 64 / Avg: 74.9 / Max: 75
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveGM-1000Run 1110220330440550Min: 630.77 / Avg: 631.69 / Max: 632.79Min: 616.34 / Avg: 617.9 / Max: 619.011. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeGM-1000Run 120406080100SE +/- 0.89, N = 3SE +/- 0.66, N = 375.7973.56
MinAvgMaxGM-100061.072.277.0OpenBenchmarking.orgCelsius, Fewer Is BetterHuginCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.175.0OpenBenchmarking.orgCelsius, Fewer Is BetterHuginSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeGM-1000Run 11530456075Min: 74.1 / Avg: 75.79 / Max: 77.14Min: 72.39 / Avg: 73.56 / Max: 74.69

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 DocumentGM-1000Run 1918273645SE +/- 0.48, N = 6SE +/- 0.57, N = 339.6138.79
MinAvgMaxGM-100061.070.679.0OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 10.3.1+dfsgCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.775.0OpenBenchmarking.orgCelsius, Fewer Is BetterOCRMyPDF 10.3.1+dfsgSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentGM-1000Run 1816243240Min: 37.2 / Avg: 39.61 / Max: 40.36Min: 37.65 / Avg: 38.79 / Max: 39.41

GNU Octave Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Run 1GM-1000246810SE +/- 0.016, N = 5SE +/- 0.022, N = 68.0158.007
MinAvgMaxGM-100061.067.374.0OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGNU Octave Benchmark 5.2.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Run 1GM-10003691215Min: 7.99 / Avg: 8.02 / Max: 8.08Min: 7.98 / Avg: 8.01 / Max: 8.12

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 TimeGM-1000Run 120406080100SE +/- 1.25, N = 3SE +/- 0.85, N = 395.4892.611. RawTherapee, version 5.8, command line.
MinAvgMaxGM-100060.069.977.0OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterRawTherapeeSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeGM-1000Run 120406080100Min: 92.99 / Avg: 95.48 / Max: 96.86Min: 90.9 / Avg: 92.61 / Max: 93.541. RawTherapee, version 5.8, command line.

librsvg

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

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGGM-1000Run 1612182430SE +/- 0.42, N = 3SE +/- 0.34, N = 424.6324.351. rsvg-convert version 2.50.1
MinAvgMaxGM-100061.069.073.0OpenBenchmarking.orgCelsius, Fewer Is BetterlibrsvgCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.069.875.0OpenBenchmarking.orgCelsius, Fewer Is BetterlibrsvgSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGGM-1000Run 1612182430Min: 24.21 / Avg: 24.63 / Max: 25.48Min: 23.95 / Avg: 24.35 / Max: 25.361. rsvg-convert version 2.50.1

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: 100GM-1000Run 19K18K27K36K45KSE +/- 486.77, N = 7SE +/- 414.12, N = 944245420761. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxGM-100060.068.978.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100GM-1000Run 18K16K24K32K40KMin: 41475 / Avg: 44245.29 / Max: 45540Min: 38766 / Avg: 42075.56 / Max: 425771. (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: 200GM-1000Run 120K40K60K80K100KSE +/- 906.54, N = 3SE +/- 615.29, N = 389424858431. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxGM-100061.069.079.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200GM-1000Run 116K32K48K64K80KMin: 87616 / Avg: 89424.33 / Max: 90442Min: 84625 / Avg: 85843 / Max: 866041. (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: 100GM-1000Run 130K60K90K120K150KSE +/- 87.22, N = 3SE +/- 812.61, N = 31261401194351. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxGM-100061.069.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.675.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100GM-1000Run 120K40K60K80K100KMin: 126011 / Avg: 126139.67 / Max: 126306Min: 117810 / Avg: 119434.67 / Max: 1202841. (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: 200GM-1000Run 150K100K150K200K250KSE +/- 2728.74, N = 3SE +/- 464.17, N = 32553192406611. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
MinAvgMaxGM-100062.069.278.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0OpenBenchmarking.orgCelsius, Fewer Is BetterCaffe 2020-02-13System Temperature Monitor20406080100
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200GM-1000Run 140K80K120K160K200KMin: 250680 / Avg: 255318.67 / Max: 260128Min: 239925 / Avg: 240661 / Max: 2415191. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0GM-1000Run 13691215SE +/- 0.02, N = 3SE +/- 0.01, N = 311.1210.19MIN: 9.82 / MAX: 23.66MIN: 9.85 / MAX: 11.91. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0GM-1000Run 13691215Min: 11.07 / Avg: 11.12 / Max: 11.15Min: 10.17 / Avg: 10.19 / Max: 10.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50GM-1000Run 11224364860SE +/- 0.24, N = 3SE +/- 0.04, N = 351.8948.83MIN: 48.29 / MAX: 64.91MIN: 46.03 / MAX: 59.961. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50GM-1000Run 11020304050Min: 51.41 / Avg: 51.89 / Max: 52.15Min: 48.78 / Avg: 48.83 / Max: 48.91. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224GM-1000Run 11.05822.11643.17464.23285.291SE +/- 0.368, N = 3SE +/- 0.293, N = 34.7034.326MIN: 3.43 / MAX: 12.11MIN: 3.46 / MAX: 10.61. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224GM-1000Run 1246810Min: 3.97 / Avg: 4.7 / Max: 5.12Min: 3.74 / Avg: 4.33 / Max: 4.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0GM-1000Run 1246810SE +/- 0.617, N = 3SE +/- 0.215, N = 37.7837.485MIN: 4.59 / MAX: 20.89MIN: 4.55 / MAX: 14.651. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0GM-1000Run 13691215Min: 6.55 / Avg: 7.78 / Max: 8.4Min: 7.05 / Avg: 7.48 / Max: 7.711. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3GM-1000Run 11428425670SE +/- 0.28, N = 3SE +/- 0.04, N = 363.6859.13MIN: 58.94 / MAX: 77.62MIN: 57.34 / MAX: 70.071. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
MinAvgMaxGM-100061.069.180.0OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.775.0OpenBenchmarking.orgCelsius, Fewer Is BetterMobile Neural Network 2020-09-17System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3GM-1000Run 11224364860Min: 63.13 / Avg: 63.68 / Max: 63.97Min: 59.08 / Avg: 59.13 / Max: 59.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetGM-1000Run 1612182430SE +/- 0.12, N = 3SE +/- 0.02, N = 325.5423.92MIN: 24.15 / MAX: 35.43MIN: 23.33 / MAX: 29.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetGM-1000Run 1612182430Min: 25.33 / Avg: 25.54 / Max: 25.76Min: 23.88 / Avg: 23.92 / Max: 23.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetGM-1000Run 1714212835SE +/- 0.17, N = 3SE +/- 0.04, N = 330.3328.38MIN: 28.89 / MAX: 41.86MIN: 27.62 / MAX: 391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetGM-1000Run 1714212835Min: 30.09 / Avg: 30.33 / Max: 30.65Min: 28.32 / Avg: 28.38 / Max: 28.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2GM-1000Run 1246810SE +/- 0.22, N = 3SE +/- 0.16, N = 36.616.18MIN: 5.61 / MAX: 9.69MIN: 5.65 / MAX: 9.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2GM-1000Run 13691215Min: 6.17 / Avg: 6.61 / Max: 6.89Min: 5.95 / Avg: 6.18 / Max: 6.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3GM-1000Run 1246810SE +/- 0.69, N = 3SE +/- 0.58, N = 36.516.12MIN: 4.68 / MAX: 9.07MIN: 4.76 / MAX: 8.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3GM-1000Run 13691215Min: 5.14 / Avg: 6.51 / Max: 7.2Min: 4.97 / Avg: 6.12 / Max: 6.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2GM-1000Run 11.20382.40763.61144.81526.019SE +/- 0.61, N = 3SE +/- 0.37, N = 35.355.21MIN: 3.72 / MAX: 14MIN: 4.42 / MAX: 6.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2GM-1000Run 1246810Min: 4.13 / Avg: 5.35 / Max: 5.98Min: 4.48 / Avg: 5.21 / Max: 5.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetGM-1000Run 1246810SE +/- 0.81, N = 3SE +/- 0.73, N = 36.906.48MIN: 4.78 / MAX: 16.69MIN: 4.85 / MAX: 8.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetGM-1000Run 13691215Min: 5.29 / Avg: 6.9 / Max: 7.71Min: 5.02 / Avg: 6.48 / Max: 7.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Run 1GM-10003691215SE +/- 0.05, N = 3SE +/- 1.08, N = 310.6610.25MIN: 9.94 / MAX: 11.09MIN: 7.48 / MAX: 13.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Run 1GM-10003691215Min: 10.58 / Avg: 10.66 / Max: 10.75Min: 8.09 / Avg: 10.25 / Max: 11.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRun 1GM-10000.49050.9811.47151.9622.4525SE +/- 0.01, N = 3SE +/- 0.24, N = 32.182.07MIN: 2.01 / MAX: 2.4MIN: 1.46 / MAX: 3.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRun 1GM-1000246810Min: 2.16 / Avg: 2.18 / Max: 2.19Min: 1.58 / Avg: 2.07 / Max: 2.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetGM-1000Run 1612182430SE +/- 0.96, N = 3SE +/- 0.02, N = 323.9923.16MIN: 17.71 / MAX: 26.79MIN: 21.99 / MAX: 34.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetGM-1000Run 1612182430Min: 22.09 / Avg: 23.99 / Max: 25.19Min: 23.13 / Avg: 23.16 / Max: 23.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16GM-1000Run 120406080100SE +/- 0.13, N = 3SE +/- 0.02, N = 383.0777.82MIN: 81.47 / MAX: 93.06MIN: 77.53 / MAX: 87.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16GM-1000Run 11632486480Min: 82.81 / Avg: 83.07 / Max: 83.24Min: 77.77 / Avg: 77.82 / Max: 77.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18GM-1000Run 1612182430SE +/- 0.04, N = 3SE +/- 0.01, N = 323.5621.93MIN: 21.32 / MAX: 35.12MIN: 20 / MAX: 22.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18GM-1000Run 1612182430Min: 23.5 / Avg: 23.56 / Max: 23.63Min: 21.9 / Avg: 21.93 / Max: 21.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetGM-1000Run 1510152025SE +/- 0.06, N = 3SE +/- 0.01, N = 322.5321.35MIN: 21.39 / MAX: 32.99MIN: 20.63 / MAX: 22.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetGM-1000Run 1510152025Min: 22.45 / Avg: 22.53 / Max: 22.66Min: 21.34 / Avg: 21.35 / Max: 21.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50GM-1000Run 11122334455SE +/- 0.19, N = 3SE +/- 0.06, N = 347.3343.90MIN: 44.74 / MAX: 59.62MIN: 41.9 / MAX: 53.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50GM-1000Run 11020304050Min: 47.11 / Avg: 47.33 / Max: 47.71Min: 43.82 / Avg: 43.9 / Max: 44.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyGM-1000Run 11020304050SE +/- 0.16, N = 3SE +/- 0.03, N = 343.0840.36MIN: 41.28 / MAX: 53.54MIN: 39.31 / MAX: 42.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxGM-100061.069.178.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyGM-1000Run 1918273645Min: 42.84 / Avg: 43.08 / Max: 43.39Min: 40.32 / Avg: 40.36 / Max: 40.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetGM-1000Run 13691215SE +/- 0.00, N = 3SE +/- 0.01, N = 310.2710.08MIN: 9.98 / MAX: 10.78MIN: 9.92 / MAX: 10.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetGM-1000Run 13691215Min: 10.26 / Avg: 10.27 / Max: 10.27Min: 10.06 / Avg: 10.08 / Max: 10.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetGM-1000Run 13691215SE +/- 0.00, N = 3SE +/- 0.00, N = 39.319.05MIN: 9 / MAX: 10.28MIN: 8.97 / MAX: 9.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetGM-1000Run 13691215Min: 9.31 / Avg: 9.31 / Max: 9.32Min: 9.05 / Avg: 9.05 / Max: 9.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2GM-1000Run 10.6751.352.0252.73.375SE +/- 0.03, N = 3SE +/- 0.00, N = 33.002.93MIN: 2.89 / MAX: 3.84MIN: 2.89 / MAX: 3.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2GM-1000Run 1246810Min: 2.95 / Avg: 3 / Max: 3.04Min: 2.93 / Avg: 2.93 / Max: 2.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3GM-1000Run 10.76281.52562.28843.05123.814SE +/- 0.03, N = 3SE +/- 0.00, N = 33.393.32MIN: 3.29 / MAX: 4.22MIN: 3.28 / MAX: 3.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3GM-1000Run 1246810Min: 3.34 / Avg: 3.39 / Max: 3.42Min: 3.32 / Avg: 3.32 / Max: 3.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2GM-1000Run 10.53551.0711.60652.1422.6775SE +/- 0.01, N = 3SE +/- 0.00, N = 32.382.28MIN: 2.24 / MAX: 4.75MIN: 2.25 / MAX: 2.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2GM-1000Run 1246810Min: 2.35 / Avg: 2.38 / Max: 2.39Min: 2.28 / Avg: 2.28 / Max: 2.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetGM-1000Run 10.69751.3952.09252.793.4875SE +/- 0.02, N = 3SE +/- 0.00, N = 33.103.04MIN: 3 / MAX: 4.16MIN: 2.99 / MAX: 3.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetGM-1000Run 1246810Min: 3.06 / Avg: 3.1 / Max: 3.13Min: 3.04 / Avg: 3.04 / Max: 3.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0GM-1000Run 11.17682.35363.53044.70725.884SE +/- 0.02, N = 3SE +/- 0.00, N = 35.235.11MIN: 5.06 / MAX: 5.95MIN: 5.04 / MAX: 5.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0GM-1000Run 1246810Min: 5.18 / Avg: 5.23 / Max: 5.26Min: 5.11 / Avg: 5.11 / Max: 5.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceGM-1000Run 10.2340.4680.7020.9361.17SE +/- 0.01, N = 3SE +/- 0.00, N = 31.040.98MIN: 0.94 / MAX: 1.7MIN: 0.94 / MAX: 1.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceGM-1000Run 1246810Min: 1.01 / Avg: 1.04 / Max: 1.05Min: 0.98 / Avg: 0.98 / Max: 0.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetGM-1000Run 1246810SE +/- 0.03, N = 3SE +/- 0.01, N = 37.847.66MIN: 7.62 / MAX: 10.98MIN: 7.62 / MAX: 7.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetGM-1000Run 13691215Min: 7.79 / Avg: 7.84 / Max: 7.88Min: 7.65 / Avg: 7.66 / Max: 7.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16GM-1000Run 1816243240SE +/- 0.03, N = 3SE +/- 0.09, N = 333.3332.47MIN: 32.53 / MAX: 40.22MIN: 32.03 / MAX: 68.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16GM-1000Run 1714212835Min: 33.28 / Avg: 33.33 / Max: 33.36Min: 32.36 / Avg: 32.47 / Max: 32.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18GM-1000Run 11.3052.613.9155.226.525SE +/- 0.01, N = 3SE +/- 0.00, N = 35.805.67MIN: 5.62 / MAX: 13.86MIN: 5.62 / MAX: 5.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18GM-1000Run 1246810Min: 5.79 / Avg: 5.8 / Max: 5.81Min: 5.67 / Avg: 5.67 / Max: 5.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetGM-1000Run 1246810SE +/- 0.08, N = 3SE +/- 0.01, N = 38.177.95MIN: 7.83 / MAX: 8.81MIN: 7.8 / MAX: 8.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetGM-1000Run 13691215Min: 8.08 / Avg: 8.17 / Max: 8.32Min: 7.93 / Avg: 7.95 / Max: 7.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50GM-1000Run 13691215SE +/- 0.04, N = 3SE +/- 0.00, N = 313.2212.92MIN: 12.84 / MAX: 29.57MIN: 12.85 / MAX: 15.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50GM-1000Run 148121620Min: 13.15 / Avg: 13.22 / Max: 13.28Min: 12.92 / Avg: 12.92 / Max: 12.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyGM-1000Run 148121620SE +/- 0.01, N = 3SE +/- 0.01, N = 316.2815.64MIN: 15.64 / MAX: 17.64MIN: 15.48 / MAX: 16.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxGM-100059.066.870.0OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterNCNN 20200916System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyGM-1000Run 148121620Min: 16.26 / Avg: 16.28 / Max: 16.29Min: 15.63 / Avg: 15.64 / Max: 15.661. (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 v2GM-1000Run 180160240320400SE +/- 0.15, N = 3SE +/- 0.13, N = 3369.91359.29MIN: 368.82 / MAX: 373.15MIN: 358.26 / MAX: 362.091. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxGM-100059.069.874.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.066.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2GM-1000Run 170140210280350Min: 369.74 / Avg: 369.91 / Max: 370.22Min: 359.12 / Avg: 359.29 / Max: 359.541. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1GM-1000Run 180160240320400SE +/- 0.13, N = 3SE +/- 0.10, N = 3362.13361.90MIN: 361.7 / MAX: 362.7MIN: 361.63 / MAX: 362.291. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxGM-100060.069.974.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterTNN 0.2.3System Temperature Monitor20406080100
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1GM-1000Run 160120180240300Min: 361.9 / Avg: 362.13 / Max: 362.35Min: 361.78 / Avg: 361.9 / Max: 362.11. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesGM-1000Run 15K10K15K20K25KSE +/- 177.03, N = 15SE +/- 358.19, N = 32073221995
OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 3.11.4CPU Temperature MonitorGM-10001530456075Min: 59 / Avg: 68.16 / Max: 77
OpenBenchmarking.orgCelsius, Fewer Is BetterApache Cassandra 3.11.4System Temperature MonitorGM-10001428425670Min: 64 / Avg: 72.15 / Max: 75
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesGM-1000Run 14K8K12K16K20KMin: 19586 / Avg: 20732.33 / Max: 22089Min: 21311 / Avg: 21995.33 / Max: 22521

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillGM-1000Run 1160K320K480K640K800KSE +/- 7757.34, N = 5SE +/- 8348.44, N = 36347397309191. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxGM-100061.069.176.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillGM-1000Run 1130K260K390K520K650KMin: 614178 / Avg: 634738.6 / Max: 658548Min: 714235 / Avg: 730919.33 / Max: 7398221. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadGM-1000Run 15M10M15M20M25MSE +/- 338773.40, N = 4SE +/- 309204.37, N = 324616331248370761. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxGM-100062.069.380.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.375.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadGM-1000Run 14M8M12M16M20MMin: 24244615 / Avg: 24616331 / Max: 25631808Min: 24508049 / Avg: 24837076.33 / Max: 254550521. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillGM-1000Run 1200K400K600K800K1000KSE +/- 13114.25, N = 15SE +/- 9270.31, N = 1598109110741781. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxGM-100062.068.877.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.176.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillGM-1000Run 1200K400K600K800K1000KMin: 882368 / Avg: 981090.53 / Max: 1073609Min: 1045047 / Avg: 1074178 / Max: 11721861. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncGM-1000Run 18001600240032004000SE +/- 40.71, N = 15SE +/- 66.63, N = 15347335021. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxGM-100055.057.662.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.765.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncGM-1000Run 16001200180024003000Min: 3180 / Avg: 3472.73 / Max: 3760Min: 3180 / Avg: 3501.53 / Max: 40131. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingGM-1000Run 1200K400K600K800K1000KSE +/- 8029.23, N = 8SE +/- 7495.26, N = 158087368307011. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
MinAvgMaxGM-100055.065.774.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100
MinAvgMaxGM-100054.066.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingGM-1000Run 1140K280K420K560K700KMin: 780815 / Avg: 808736.38 / Max: 840310Min: 792035 / Avg: 830701.27 / Max: 8908851. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goGM-1000Run 160120180240300SE +/- 1.67, N = 3270267
MinAvgMaxGM-100059.065.573.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goGM-1000Run 150100150200250Min: 267 / Avg: 270.33 / Max: 272

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Run 1GM-100080160240320400353352
MinAvgMaxGM-100058.067.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosGM-1000Run 1306090120150SE +/- 1.00, N = 3117116
MinAvgMaxGM-100058.067.672.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosGM-1000Run 120406080100Min: 115 / Avg: 117 / Max: 118

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatGM-1000Run 1306090120150122121
MinAvgMaxGM-100057.067.072.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyGM-1000Run 1306090120150SE +/- 0.33, N = 3138138
MinAvgMaxGM-100058.067.972.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyGM-1000Run 1306090120150Min: 138 / Avg: 138.33 / Max: 139

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibRun 1GM-1000510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 319.419.3
MinAvgMaxGM-100057.068.471.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibRun 1GM-1000510152025Min: 19.4 / Avg: 19.4 / Max: 19.4Min: 19.3 / Avg: 19.3 / Max: 19.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceRun 1GM-1000110220330440550SE +/- 0.67, N = 3506505
MinAvgMaxGM-100057.070.273.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceRun 1GM-100090180270360450Min: 504 / Avg: 505.33 / Max: 506

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsRun 1GM-1000714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 328.628.4
MinAvgMaxGM-100057.067.671.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsRun 1GM-1000612182430Min: 28.5 / Avg: 28.57 / Max: 28.6Min: 28.4 / Avg: 28.43 / Max: 28.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesGM-1000Run 1306090120150SE +/- 0.33, N = 3116116
MinAvgMaxGM-100057.066.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesGM-1000Run 120406080100Min: 115 / Avg: 115.67 / Max: 116

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRun 1GM-10004080120160200SE +/- 0.33, N = 3SE +/- 0.58, N = 3189186
MinAvgMaxGM-100057.067.571.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRun 1GM-1000306090120150Min: 188 / Avg: 188.67 / Max: 189Min: 185 / Avg: 186 / Max: 187

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupGM-1000Run 13691215SE +/- 0.06, N = 3SE +/- 0.00, N = 39.018.99
MinAvgMaxGM-100057.065.668.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupGM-1000Run 13691215Min: 8.91 / Avg: 9.01 / Max: 9.13Min: 8.99 / Avg: 8.99 / Max: 9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateGM-1000Run 11224364860SE +/- 0.15, N = 3SE +/- 0.06, N = 352.352.0
MinAvgMaxGM-100057.067.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateGM-1000Run 11020304050Min: 52.1 / Avg: 52.3 / Max: 52.6Min: 51.9 / Avg: 52 / Max: 52.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonGM-1000Run 1100200300400500SE +/- 2.73, N = 3SE +/- 0.58, N = 3462457
MinAvgMaxGM-100057.067.171.0OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterPyPerformance 1.0.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonGM-1000Run 180160240320400Min: 457 / Avg: 462.33 / Max: 466Min: 456 / Avg: 457 / Max: 458

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyGM-1000Run 11122334455SE +/- 0.44, N = 12SE +/- 0.45, N = 1049.5049.47
MinAvgMaxGM-100057.067.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.071.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyGM-1000Run 11020304050Min: 44.92 / Avg: 49.5 / Max: 50.61Min: 45.87 / Avg: 49.47 / Max: 50.96

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianGM-1000Run 1612182430SE +/- 0.28, N = 14SE +/- 0.25, N = 926.1225.48
MinAvgMaxGM-100059.068.077.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.072.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianGM-1000Run 1612182430Min: 22.58 / Avg: 26.11 / Max: 26.66Min: 23.49 / Avg: 25.47 / Max: 25.97

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineGM-1000Run 170140210280350SE +/- 4.34, N = 3SE +/- 1.25, N = 3300.54291.99
MinAvgMaxGM-100059.069.677.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.875.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineGM-1000Run 150100150200250Min: 293.05 / Avg: 300.54 / Max: 308.1Min: 290.48 / Avg: 291.99 / Max: 294.48

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointGM-1000Run 120406080100SE +/- 1.25, N = 3SE +/- 0.77, N = 397.1496.53
MinAvgMaxGM-100060.069.978.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterNumenta Anomaly Benchmark 1.1System Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointGM-1000Run 120406080100Min: 94.65 / Avg: 97.13 / Max: 98.61Min: 95.03 / Avg: 96.53 / Max: 97.62

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: FLOATGM-1000Run 180M160M240M320M400MSE +/- 534147.70, N = 3SE +/- 196130.98, N = 3360309999.32361795957.641. (CC) gcc options: -O3 -march=native -lm
MinAvgMaxGM-100059.066.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterHierarchical INTegration 1.0System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATGM-1000Run 160M120M180M240M300MMin: 359505128.58 / Avg: 360309999.32 / Max: 361320775.57Min: 361411904.55 / Avg: 361795957.64 / Max: 362057118.081. (CC) gcc options: -O3 -march=native -lm

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreGM-1000Run 1140280420560700640656

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreGM-1000Run 1160320480640800732751

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreGM-1000Run 13006009001200150013721407
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Temperature MonitorGM-10001530456075Min: 58 / Avg: 68.63 / Max: 76
OpenBenchmarking.orgCelsius, Fewer Is BetterAI Benchmark Alpha 0.1.2System Temperature MonitorGM-10001428425670Min: 64 / Avg: 73.64 / Max: 75

Git

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsGM-1000Run 11428425670SE +/- 0.41, N = 3SE +/- 0.08, N = 360.3759.021. git version 2.27.0
MinAvgMaxGM-100060.070.874.0OpenBenchmarking.orgCelsius, Fewer Is BetterGitCPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterGitSystem Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsGM-1000Run 11224364860Min: 59.56 / Avg: 60.37 / Max: 60.79Min: 58.94 / Avg: 59.02 / Max: 59.191. git version 2.27.0

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaGM-1000Run 11428425670SE +/- 1.11, N = 3SE +/- 0.82, N = 364.7262.84
MinAvgMaxGM-100060.068.876.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.875.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaGM-1000Run 11326395265Min: 62.5 / Avg: 64.72 / Max: 65.89Min: 61.2 / Avg: 62.84 / Max: 63.8

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaGM-1000Run 120406080100SE +/- 0.01, N = 3SE +/- 0.79, N = 387.8183.36
MinAvgMaxGM-100061.069.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.073.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaGM-1000Run 120406080100Min: 87.8 / Avg: 87.81 / Max: 87.82Min: 82.55 / Avg: 83.36 / Max: 84.93

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmGM-1000Run 1714212835SE +/- 0.20, N = 3SE +/- 0.03, N = 328.9328.57
MinAvgMaxGM-100061.068.474.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmGM-1000Run 1612182430Min: 28.67 / Avg: 28.93 / Max: 29.31Min: 28.54 / Avg: 28.57 / Max: 28.62

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionGM-1000Run 10.70651.4132.11952.8263.5325SE +/- 0.03, N = 15SE +/- 0.04, N = 153.143.12
MinAvgMaxGM-100060.068.176.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkCPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterMlpack BenchmarkSystem Temperature Monitor20406080100
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionGM-1000Run 1246810Min: 2.97 / Avg: 3.14 / Max: 3.34Min: 2.92 / Avg: 3.12 / Max: 3.36

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 ImagesGM-1000Run 1612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 327.1126.96
MinAvgMaxGM-100059.069.673.0OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1CPU Temperature Monitor20406080100
OpenBenchmarking.orgCelsius, Fewer Is BetterTesseract OCR 4.1.1System Temperature MonitorGM-1000142842567064.0
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesGM-1000Run 1612182430Min: 27.06 / Avg: 27.11 / Max: 27.13Min: 26.95 / Avg: 26.96 / Max: 26.99

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4GM-1000Run 15M10M15M20M25MSE +/- 42312.00, N = 3SE +/- 53251.01, N = 320889583214355231. (CXX) g++ options: -O3 -fopenmp
MinAvgMaxGM-100058.067.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.064.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterKripke 1.2.4System Temperature Monitor20406080100
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4GM-1000Run 14M8M12M16M20MMin: 20805700 / Avg: 20889583.33 / Max: 20941200Min: 21369090 / Avg: 21435523.33 / Max: 215408301. (CXX) g++ options: -O3 -fopenmp

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 MetricRun 1GM-10009K18K27K36K45K42649431381. (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
MinAvgMaxGM-100062.069.180.0OpenBenchmarking.orgCelsius, Fewer Is BetterBRL-CAD 7.30.8CPU Temperature Monitor20406080100
MinAvgMaxGM-100064.074.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterBRL-CAD 7.30.8System Temperature Monitor20406080100

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringGM-10001632486480Min: 49 / Avg: 67.98 / Max: 82

System Temperature Monitor

OpenBenchmarking.orgCelsiusSystem Temperature MonitorPhoronix Test Suite System MonitoringGM-10001530456075Min: 54 / Avg: 71.36 / Max: 76

218 Results Shown

IOR:
  Write Test
  Read Test
PostMark
RealSR-NCNN:
  4x - No
  4x - Yes
Waifu2x-NCNN Vulkan:
  2x - 3 - No
  2x - 3 - Yes
GLmark2
WireGuard + Linux Networking Stack Stress Test
C-Blosc
High Performance Conjugate Gradient
LeelaChessZero:
  BLAS
  Eigen
NAMD
Dolfyn
Polyhedron Fortran Benchmarks:
  ac
  air
  mdbx
  doduc
  linpk
  tfft2
  aermod
  rnflow
  induct2
  protein
  capacita
  channel2
  fatigue2
  gas_dyn2
  test_fpu2
  mp_prop_design
FFTE
Timed HMMer Search
Incompact3D
Timed MAFFT Alignment
Monte Carlo Simulations of Ionised Nebulae
LAMMPS Molecular Dynamics Simulator
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
Zstd Compression:
  3
  19
LibRaw
John The Ripper:
  Blowfish
  MD5
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
Kvazaar:
  Bosphorus 4K - Medium
  Bosphorus 1080p - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Ultra Fast
SVT-AV1:
  Enc Mode 0 - 1080p
  Enc Mode 4 - 1080p
SVT-VP9:
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
VP9 libvpx Encoding:
  Speed 0
  Speed 5
x265:
  Bosphorus 4K
  Bosphorus 1080p
Intel Open Image Denoise
OpenVKL
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
7-Zip Compression
libavif avifenc:
  0
  2
  8
  10
Timed Apache Compilation
Timed GDB GNU Debugger Compilation
Timed Linux Kernel Compilation
Timed LLVM Compilation
Timed PHP Compilation
YafaRay
rays1bench
Numpy Benchmark
eSpeak-NG Speech Engine
RNNoise
OpenSSL
LevelDB:
  Hot Read
  Fill Sync
  Fill Sync
  Overwrite
  Overwrite
  Rand Fill
  Rand Fill
  Rand Read
  Seek Rand
  Rand Delete
  Seq Fill
  Seq Fill
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 - 50 - Read Write
  1 - 50 - Read Write - Average Latency
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
Hugin
OCRMyPDF
GNU Octave Benchmark
RawTherapee
librsvg
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
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
Apache Cassandra
Facebook RocksDB:
  Rand Fill
  Rand Read
  Seq Fill
  Rand Fill Sync
  Read While Writing
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
Numenta Anomaly Benchmark:
  Relative Entropy
  Windowed Gaussian
  Earthgecko Skyline
  Bayesian Changepoint
Hierarchical INTegration
AI Benchmark Alpha:
  Device Inference Score
  Device Training Score
  Device AI Score
Git
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression
Tesseract OCR
Kripke
BRL-CAD
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Celsius

Run 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
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 768
Java Notes: OpenJDK Runtime Environment (build 11.0.9+10-post-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 27 October 2020 11:05 by user phoronix.

GM-1000

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
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 768
Java Notes: OpenJDK Runtime Environment (build 11.0.9+10-post-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 28 October 2020 06:55 by user phoronix.

Extra

Processor: Intel Core i7-9700TE @ 3.80GHz (8 Cores), Motherboard: C OZE GM-1000 v0.0.01.001 (5.13 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: CIE M8 T405 512GB, Graphics: NVIDIA Quadro P2000 4GB (1455/3003MHz), Audio: Realtek ALC888-VD, Monitor: DELL S2409W, Network: Intel I219-LM + 2 x Intel 10G X550T + Intel I210

OS: Ubuntu 20.10, Kernel: 5.8.0-25-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
Disk Notes: NONE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3
OpenCL Notes: GPU Compute Cores: 768
Java Notes: OpenJDK Runtime Environment (build 11.0.9+10-post-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 29 October 2020 05:50 by user phoronix.