xeon seppy

Intel Xeon E3-1275 v6 testing with a ASUS P10S-M WS (4401 BIOS) and Intel HD P630 on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2209046-NE-XEONSEPPY31
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Timed Code Compilation 5 Tests
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CPU Massive 3 Tests
Creator Workloads 3 Tests
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Multi-Core 9 Tests
Programmer / Developer System Benchmarks 6 Tests
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September 04 2022
  1 Hour, 49 Minutes
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September 04 2022
  5 Hours, 13 Minutes
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September 04 2022
  5 Hours, 18 Minutes
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xeon seppyOpenBenchmarking.orgPhoronix Test SuiteIntel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads)ASUS P10S-M WS (4401 BIOS)Intel Xeon E3-1200 v6/7th16GBSamsung SSD 970 EVO Plus 500GBIntel HD P630 (1150MHz)Realtek ALC1150DELL S2409W2 x Intel I210Ubuntu 20.045.9.0-050900rc8daily20201007-generic (x86_64) 20201006X Server 1.20.8OpenCL 2.1GCC 9.4.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerOpenCLCompilerFile-SystemScreen ResolutionXeon Seppy BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xf0 - Thermald 1.9.1 - Python 3.8.10- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

ABCResult OverviewPhoronix Test Suite100%101%101%102%102%Timed Wasmer CompilationGraphicsMagickC-BloscTimed PHP Compilation7-Zip CompressionOpenVINOMobile Neural NetworkTimed Erlang/OTP CompilationTimed CPython CompilationTimed Node.js CompilationNatron

xeon seppyblosc: blosclz shuffleblosc: blosclz bitshufflegraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spacecompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-nodejs: Time To Compilebuild-php: Time To Compilebuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedbuild-erlang: Time To Compilebuild-wasmer: Time To Compilemnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUnatron: SpaceshipABC8743.65190.4154779428945611364332487239161560.836123.09533.169403.857179.667131.01115.1731.9233.91836.8055.8564.0524.02342.2271.33068.170.84879.540.84870.3993.7542.642.371689.25141.9728.16123.4132.3914.3279.41235.0917176.2322.683060.591.296236.440.641.38638.65259.5154764428945211363932508241041562.433122.62633.117404.689179.539132.47615.1691.9233.88736.7325.8554.0524.02742.1671.303082.770.84870.810.84879.9595.2541.972.371688.96142.3028.09123.6032.3414.29279.64235.4916.97169.1523.643052.691.306200.830.641.38617.35193.7154734428945011363332242240991561.564122.37733.137403.035179.699133.75215.1501.9243.87236.6805.8374.0624.02942.1571.303069.150.84873.800.84873.4894.9442.112.371690.48142.1828.11123.4932.3714.43276.72235.4516.97171.6623.293069.491.296241.520.641.3OpenBenchmarking.org

C-Blosc

C-Blosc (c-blosc2) 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 2.3Test: blosclz shuffleABC2K4K6K8K10KSE +/- 31.59, N = 3SE +/- 29.65, N = 38743.68638.68617.31. (CC) gcc options: -std=gnu99 -O3 -lrt -pthread -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz shuffleABC15003000450060007500Min: 8575.5 / Avg: 8638.57 / Max: 8673.5Min: 8573.7 / Avg: 8617.27 / Max: 8673.91. (CC) gcc options: -std=gnu99 -O3 -lrt -pthread -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz bitshuffleABC11002200330044005500SE +/- 23.89, N = 3SE +/- 34.41, N = 35190.45259.55193.71. (CC) gcc options: -std=gnu99 -O3 -lrt -pthread -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz bitshuffleABC9001800270036004500Min: 5217.3 / Avg: 5259.5 / Max: 5300Min: 5126.9 / Avg: 5193.67 / Max: 5241.51. (CC) gcc options: -std=gnu99 -O3 -lrt -pthread -lm

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlABC3060901201501541541541. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateABC2004006008001000SE +/- 7.00, N = 37797647341. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateABC140280420560700Min: 750 / Avg: 764 / Max: 7711. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenABC10203040504242421. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedABC204060801008989891. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingABC100200300400500SE +/- 0.58, N = 3SE +/- 0.67, N = 34564524501. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingABC80160240320400Min: 451 / Avg: 452 / Max: 453Min: 449 / Avg: 450.33 / Max: 4511. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianABC3060901201501131131131. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceABC140280420560700SE +/- 0.67, N = 3SE +/- 1.00, N = 36436396331. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceABC110220330440550Min: 638 / Avg: 639.33 / Max: 640Min: 631 / Avg: 633 / Max: 6341. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingABC7K14K21K28K35KSE +/- 237.44, N = 3SE +/- 81.16, N = 33248732508322421. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingABC6K12K18K24K30KMin: 32089 / Avg: 32508.33 / Max: 32911Min: 32099 / Avg: 32242 / Max: 323801. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingABC5K10K15K20K25KSE +/- 1.53, N = 3SE +/- 1.00, N = 32391624104240991. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingABC4K8K12K16K20KMin: 24102 / Avg: 24104 / Max: 24107Min: 24097 / Avg: 24099 / Max: 241001. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileABC30060090012001500SE +/- 0.79, N = 3SE +/- 0.27, N = 31560.841562.431561.56
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileABC30060090012001500Min: 1560.89 / Avg: 1562.43 / Max: 1563.48Min: 1561.17 / Avg: 1561.56 / Max: 1562.07

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileABC306090120150SE +/- 0.47, N = 3SE +/- 0.41, N = 3123.10122.63122.38
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileABC20406080100Min: 122.08 / Avg: 122.63 / Max: 123.57Min: 121.88 / Avg: 122.38 / Max: 123.19

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultABC81624324033.1733.1233.14

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedABC90180270360450403.86404.69403.04

Timed Erlang/OTP Compilation

This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileABC4080120160200SE +/- 0.18, N = 3SE +/- 0.41, N = 3179.67179.54179.70
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileABC306090120150Min: 179.2 / Avg: 179.54 / Max: 179.81Min: 178.89 / Avg: 179.7 / Max: 180.21

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileABC306090120150SE +/- 0.85, N = 3SE +/- 0.56, N = 3131.01132.48133.751. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileABC306090120150Min: 130.78 / Avg: 132.48 / Max: 133.53Min: 132.96 / Avg: 133.75 / Max: 134.851. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

etcd

Etcd is a distributed, reliable key-value store intended for critical data of a distributed system. Etcd is written in Golang and part of the Cloud Native Computing Foundation (CNCF) and used by Kubernetes, Rook, CoreDNS, and other open-source software. This test profile uses Etcd's built-in benchmark to stress the PUT and RANGE performance of a single node / local system. Learn more via the OpenBenchmarking.org test page.

Test: PUT - Connections: 50 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 100 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 50 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 500 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 100 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: PUT - Connections: 500 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 50 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 100 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 50 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 500 - Clients: 100

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 100 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Test: RANGE - Connections: 500 - Clients: 1000

A: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

B: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

C: The test run did not produce a result. E: ./etcd: 9: ./benchmark: not found

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetABC48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 315.1715.1715.15MIN: 15.05 / MAX: 16.25MIN: 14.99 / MAX: 19.73MIN: 15 / MAX: 19.721. (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 2.1Model: nasnetABC48121620Min: 15.12 / Avg: 15.17 / Max: 15.2Min: 15.09 / Avg: 15.15 / Max: 15.211. (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 2.1Model: mobilenetV3ABC0.43290.86581.29871.73162.1645SE +/- 0.004, N = 3SE +/- 0.003, N = 31.9231.9231.924MIN: 1.9 / MAX: 2.27MIN: 1.89 / MAX: 2.42MIN: 1.89 / MAX: 2.381. (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 2.1Model: mobilenetV3ABC246810Min: 1.92 / Avg: 1.92 / Max: 1.93Min: 1.92 / Avg: 1.92 / Max: 1.931. (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 2.1Model: squeezenetv1.1ABC0.88161.76322.64483.52644.408SE +/- 0.007, N = 3SE +/- 0.007, N = 33.9183.8873.872MIN: 3.85 / MAX: 4.38MIN: 3.83 / MAX: 4.66MIN: 3.83 / MAX: 4.351. (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 2.1Model: squeezenetv1.1ABC246810Min: 3.88 / Avg: 3.89 / Max: 3.9Min: 3.86 / Avg: 3.87 / Max: 3.881. (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 2.1Model: resnet-v2-50ABC816243240SE +/- 0.04, N = 3SE +/- 0.01, N = 336.8136.7336.68MIN: 36.71 / MAX: 37.3MIN: 36.55 / MAX: 45.78MIN: 36.55 / MAX: 41.161. (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 2.1Model: resnet-v2-50ABC816243240Min: 36.69 / Avg: 36.73 / Max: 36.8Min: 36.67 / Avg: 36.68 / Max: 36.691. (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 2.1Model: SqueezeNetV1.0ABC1.31762.63523.95285.27046.588SE +/- 0.000, N = 3SE +/- 0.013, N = 35.8565.8555.837MIN: 5.81 / MAX: 10.2MIN: 5.75 / MAX: 7.85MIN: 5.77 / MAX: 10.071. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0ABC246810Min: 5.86 / Avg: 5.86 / Max: 5.86Min: 5.82 / Avg: 5.84 / Max: 5.861. (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 2.1Model: MobileNetV2_224ABC0.9141.8282.7423.6564.57SE +/- 0.003, N = 3SE +/- 0.016, N = 34.0524.0524.062MIN: 4 / MAX: 4.5MIN: 4.01 / MAX: 4.46MIN: 4.01 / MAX: 4.541. (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 2.1Model: MobileNetV2_224ABC246810Min: 4.05 / Avg: 4.05 / Max: 4.06Min: 4.04 / Avg: 4.06 / Max: 4.091. (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 2.1Model: mobilenet-v1-1.0ABC0.90651.8132.71953.6264.5325SE +/- 0.006, N = 3SE +/- 0.004, N = 34.0234.0274.029MIN: 4 / MAX: 4.48MIN: 3.99 / MAX: 4.5MIN: 4 / MAX: 4.471. (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 2.1Model: mobilenet-v1-1.0ABC246810Min: 4.02 / Avg: 4.03 / Max: 4.04Min: 4.02 / Avg: 4.03 / Max: 4.041. (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 2.1Model: inception-v3ABC1020304050SE +/- 0.05, N = 3SE +/- 0.07, N = 342.2342.1742.16MIN: 42.09 / MAX: 48.11MIN: 41.94 / MAX: 46.3MIN: 41.91 / MAX: 451. (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 2.1Model: inception-v3ABC918273645Min: 42.07 / Avg: 42.17 / Max: 42.22Min: 42.03 / Avg: 42.16 / Max: 42.291. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABC0.29250.5850.87751.171.4625SE +/- 0.00, N = 3SE +/- 0.01, N = 31.301.301.301. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABC246810Min: 1.29 / Avg: 1.3 / Max: 1.3Min: 1.29 / Avg: 1.3 / Max: 1.311. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABC7001400210028003500SE +/- 8.06, N = 3SE +/- 12.88, N = 33068.173082.773069.15MIN: 2971.88 / MAX: 3111.35MIN: 2971.88 / MAX: 3128.67MIN: 2966.71 / MAX: 3133.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABC5001000150020002500Min: 3073.38 / Avg: 3082.77 / Max: 3098.81Min: 3050.49 / Avg: 3069.15 / Max: 3093.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABC0.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.00, N = 30.80.80.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABC246810Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.8 / Avg: 0.8 / Max: 0.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABC10002000300040005000SE +/- 7.97, N = 3SE +/- 2.91, N = 34879.544870.814873.80MIN: 4561.66 / MAX: 5158.55MIN: 4556.69 / MAX: 5163.36MIN: 4566.52 / MAX: 5158.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABC8001600240032004000Min: 4860.19 / Avg: 4870.81 / Max: 4886.42Min: 4870.55 / Avg: 4873.8 / Max: 4879.61. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABC0.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.00, N = 30.80.80.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABC246810Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.8 / Avg: 0.8 / Max: 0.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABC10002000300040005000SE +/- 5.25, N = 3SE +/- 2.68, N = 34870.394879.954873.48MIN: 4586.5 / MAX: 5157.29MIN: 4564.1 / MAX: 5159.42MIN: 4551.16 / MAX: 5161.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABC8001600240032004000Min: 4870.19 / Avg: 4879.95 / Max: 4888.18Min: 4869.99 / Avg: 4873.48 / Max: 4878.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC20406080100SE +/- 0.48, N = 3SE +/- 0.35, N = 393.7595.2594.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC20406080100Min: 94.55 / Avg: 95.25 / Max: 96.18Min: 94.53 / Avg: 94.94 / Max: 95.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC1020304050SE +/- 0.22, N = 3SE +/- 0.16, N = 342.6441.9742.11MIN: 34.18 / MAX: 45.62MIN: 34.12 / MAX: 55.72MIN: 19.08 / MAX: 45.311. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC918273645Min: 41.56 / Avg: 41.97 / Max: 42.29Min: 41.8 / Avg: 42.11 / Max: 42.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC0.53331.06661.59992.13322.6665SE +/- 0.00, N = 3SE +/- 0.00, N = 32.372.372.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC246810Min: 2.37 / Avg: 2.37 / Max: 2.37Min: 2.36 / Avg: 2.37 / Max: 2.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC400800120016002000SE +/- 0.43, N = 3SE +/- 0.84, N = 31689.251688.961690.48MIN: 1681.84 / MAX: 1696.45MIN: 1680.89 / MAX: 1703.31MIN: 1680.94 / MAX: 1705.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC30060090012001500Min: 1688.1 / Avg: 1688.96 / Max: 1689.39Min: 1688.9 / Avg: 1690.48 / Max: 1691.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC306090120150SE +/- 0.33, N = 3SE +/- 0.09, N = 3141.97142.30142.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC306090120150Min: 141.97 / Avg: 142.3 / Max: 142.96Min: 142.02 / Avg: 142.18 / Max: 142.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC714212835SE +/- 0.06, N = 3SE +/- 0.01, N = 328.1628.0928.11MIN: 26.72 / MAX: 31.42MIN: 24.51 / MAX: 35.86MIN: 15.41 / MAX: 40.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC612182430Min: 27.97 / Avg: 28.09 / Max: 28.16Min: 28.09 / Avg: 28.11 / Max: 28.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC306090120150SE +/- 0.20, N = 3SE +/- 0.15, N = 3123.41123.60123.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC20406080100Min: 123.31 / Avg: 123.6 / Max: 123.99Min: 123.31 / Avg: 123.49 / Max: 123.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC816243240SE +/- 0.05, N = 3SE +/- 0.04, N = 332.3932.3432.37MIN: 22.52 / MAX: 35.38MIN: 22.56 / MAX: 36.09MIN: 25.65 / MAX: 35.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC714212835Min: 32.24 / Avg: 32.34 / Max: 32.42Min: 32.29 / Avg: 32.37 / Max: 32.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC48121620SE +/- 0.04, N = 3SE +/- 0.07, N = 314.3014.2914.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC48121620Min: 14.2 / Avg: 14.29 / Max: 14.34Min: 14.29 / Avg: 14.43 / Max: 14.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC60120180240300SE +/- 0.72, N = 3SE +/- 1.41, N = 3279.41279.64276.72MIN: 261.92 / MAX: 290.24MIN: 260.13 / MAX: 290.59MIN: 195.03 / MAX: 311.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC50100150200250Min: 278.76 / Avg: 279.64 / Max: 281.08Min: 275.03 / Avg: 276.72 / Max: 279.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC50100150200250SE +/- 0.06, N = 3SE +/- 0.05, N = 3235.09235.49235.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC4080120160200Min: 235.4 / Avg: 235.49 / Max: 235.59Min: 235.36 / Avg: 235.45 / Max: 235.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC48121620SE +/- 0.00, N = 3SE +/- 0.00, N = 317.0016.9716.97MIN: 12.06 / MAX: 19.01MIN: 9.06 / MAX: 20.31MIN: 9.14 / MAX: 20.11. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC48121620Min: 16.96 / Avg: 16.97 / Max: 16.97Min: 16.97 / Avg: 16.97 / Max: 16.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC4080120160200SE +/- 2.25, N = 3SE +/- 2.39, N = 3176.23169.15171.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC306090120150Min: 165.62 / Avg: 169.15 / Max: 173.34Min: 168.24 / Avg: 171.66 / Max: 176.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC612182430SE +/- 0.31, N = 3SE +/- 0.32, N = 322.6823.6423.29MIN: 21.29 / MAX: 25.33MIN: 20.91 / MAX: 25.53MIN: 20.8 / MAX: 25.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC612182430Min: 23.06 / Avg: 23.64 / Max: 24.13Min: 22.68 / Avg: 23.29 / Max: 23.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC7001400210028003500SE +/- 8.44, N = 3SE +/- 3.23, N = 33060.593052.693069.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC5001000150020002500Min: 3038.34 / Avg: 3052.69 / Max: 3067.55Min: 3063.18 / Avg: 3069.49 / Max: 3073.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC0.29250.5850.87751.171.4625SE +/- 0.00, N = 3SE +/- 0.00, N = 31.291.301.29MIN: 0.8 / MAX: 2.09MIN: 0.8 / MAX: 4.88MIN: 0.79 / MAX: 4.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC246810Min: 1.29 / Avg: 1.3 / Max: 1.3Min: 1.29 / Avg: 1.29 / Max: 1.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC13002600390052006500SE +/- 2.46, N = 3SE +/- 7.87, N = 36236.446200.836241.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC11002200330044005500Min: 6197.64 / Avg: 6200.83 / Max: 6205.68Min: 6232.55 / Avg: 6241.52 / Max: 6257.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC0.1440.2880.4320.5760.72SE +/- 0.00, N = 3SE +/- 0.00, N = 30.640.640.64MIN: 0.37 / MAX: 1.98MIN: 0.38 / MAX: 4.07MIN: 0.38 / MAX: 2.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC246810Min: 0.64 / Avg: 0.64 / Max: 0.64Min: 0.63 / Avg: 0.64 / Max: 0.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipABC0.29250.5850.87751.171.4625SE +/- 0.00, N = 3SE +/- 0.01, N = 71.31.31.3
OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipABC246810Min: 1.3 / Avg: 1.3 / Max: 1.3Min: 1.3 / Avg: 1.31 / Max: 1.4

50 Results Shown

C-Blosc:
  blosclz shuffle
  blosclz bitshuffle
GraphicsMagick:
  Swirl
  Rotate
  Sharpen
  Enhanced
  Resizing
  Noise-Gaussian
  HWB Color Space
7-Zip Compression:
  Compression Rating
  Decompression Rating
Timed Node.js Compilation
Timed PHP Compilation
Timed CPython Compilation:
  Default
  Released Build, PGO + LTO Optimized
Timed Erlang/OTP Compilation
Timed Wasmer Compilation
Mobile Neural Network:
  nasnet
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
Natron