xeon 8380 2P

2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2209058-NE-XEON8380230
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
Show Result Confidence Charts

Limit displaying results to tests within:

Timed Code Compilation 5 Tests
C/C++ Compiler Tests 2 Tests
CPU Massive 2 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 8 Tests
Programmer / Developer System Benchmarks 5 Tests
Python Tests 2 Tests
Server CPU Tests 2 Tests

Statistics

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

Graph Settings

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

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
A
September 05 2022
  57 Minutes
B
September 05 2022
  58 Minutes
C
September 05 2022
  59 Minutes
D
September 05 2022
  59 Minutes
Invert Hiding All Results Option
  58 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):


xeon 8380 2POpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads)Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)Intel Ice Lake IEH512GB7682GB INTEL SSDPF2KX076TZASPEEDVE2282 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFPUbuntu 22.105.19.0-15-generic (x86_64)GNOME ShellX Server 1.21.1.31.3.211GCC 12.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionXeon 8380 2P BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Wbc0TK/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Wbc0TK/gcc-12-12.2.0/debian/tmp-gcn/usr --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: 0xd000375 - Python 3.10.6- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCDResult OverviewPhoronix Test Suite100%104%108%112%116%Mobile Neural NetworkNatron7-Zip CompressionTimed Node.js CompilationTimed Wasmer CompilationOpenVINOTimed CPython CompilationTimed PHP CompilationTimed Erlang/OTP Compilation

xeon 8380 2Popenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUmnn: squeezenetv1.1mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: mobilenet-v1-1.0mnn: nasnetmnn: mobilenetV3mnn: resnet-v2-50natron: Spaceshipopenvino: Age Gender Recognition Retail 0013 FP16 - CPUcompress-7zip: Decompression Ratingmnn: inception-v3openvino: Age Gender Recognition Retail 0013 FP16 - CPUbuild-python: Defaultbuild-nodejs: Time To Compilebuild-wasmer: Time To Compileopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUcompress-7zip: Compression Ratingbuild-php: Time To Compilebuild-python: Released Build, PGO + LTO Optimizedopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUbuild-erlang: Time To Compileopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUABCD44836.531.422.1142.6153.6411.87811.6771.6858.1191.51.3235773320.24748360.8923.647183.56957.44586.36230.9634133654.265327.42712.91533.51138.31507.1213.1224.3682.84241.03816.2932.4117.781122.339.882448.42019.084.534399.559683.648.2534045.711.742.4512.7353.7822.26912.3731.7058.8051.51.434784520.57146527.4223.67185.51658.09385.92232.0334038454.714329.05512.911534.43137.8421510.9513.1324.4583.18240.12814.0532.4917.761123.639.852443.952023.274.534407.619694.578.2433880.471.812.6283.1974.4172.26813.4031.8898.6541.51.3535096921.14648351.0123.758184.91357.17386.92229.534065854.473329.89912.811543.62138.8281511.2613.0924.3582.93240.81816.8632.5217.81121.319.882442.142017.864.524408.179685.178.2538908.731.62.5343.0444.2372.20413.0231.8238.6061.41.3733863920.94547659.4722.961189.02758.79387.69227.4233757254.211330.25812.911531.79138.8651515.0213.0724.3683.05240.51816.8732.5117.741124.799.872441.152020.44.534401.749677.298.25OpenBenchmarking.org

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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUDCBA10K20K30K40K50K38908.7333880.4734045.7144836.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUDCBA0.40730.81461.22191.62922.03651.601.811.741.42MIN: 0.43 / MAX: 32.92MIN: 0.48 / MAX: 18.78MIN: 0.51 / MAX: 21.83MIN: 0.36 / MAX: 35.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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: squeezenetv1.1DCBA0.59131.18261.77392.36522.95652.5342.6282.4512.114MIN: 2.5 / MAX: 2.78MIN: 2.59 / MAX: 5.14MIN: 2.2 / MAX: 5.51MIN: 2.08 / MAX: 2.241. (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_224DCBA0.71931.43862.15792.87723.59653.0443.1972.7352.615MIN: 2.97 / MAX: 3.39MIN: 3.15 / MAX: 3.57MIN: 2.66 / MAX: 3.26MIN: 2.56 / MAX: 2.931. (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: SqueezeNetV1.0DCBA0.99381.98762.98143.97524.9694.2374.4173.7823.641MIN: 4.11 / MAX: 10.84MIN: 4.36 / MAX: 5.09MIN: 3.73 / MAX: 4.33MIN: 3.57 / MAX: 10.941. (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-v1-1.0DCBA0.51051.0211.53152.0422.55252.2042.2682.2691.878MIN: 2.17 / MAX: 2.42MIN: 2.22 / MAX: 2.72MIN: 2.24 / MAX: 2.34MIN: 1.83 / MAX: 2.331. (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: nasnetDCBA369121513.0213.4012.3711.68MIN: 11.03 / MAX: 24.94MIN: 10.89 / MAX: 23.76MIN: 11.35 / MAX: 27.13MIN: 11.03 / MAX: 18.751. (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: mobilenetV3DCBA0.4250.851.2751.72.1251.8231.8891.7051.685MIN: 1.79 / MAX: 2.04MIN: 1.86 / MAX: 2.32MIN: 1.67 / MAX: 1.94MIN: 1.66 / MAX: 1.781. (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-v2-50DCBA2468108.6068.6548.8058.119MIN: 8.36 / MAX: 9.61MIN: 8.05 / MAX: 26.64MIN: 8.32 / MAX: 33.06MIN: 7.93 / MAX: 26.51. (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

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: SpaceshipDCBA0.33750.6751.01251.351.68751.41.51.51.5

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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUDCBA0.3150.630.9451.261.5751.371.351.401.32MIN: 0.87 / MAX: 16.55MIN: 0.86 / MAX: 20.45MIN: 0.93 / MAX: 17.52MIN: 0.99 / MAX: 16.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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: Decompression RatingDCBA80K160K240K320K400K3386393509693478453577331. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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: inception-v3DCBA51015202520.9521.1520.5720.25MIN: 20.5 / MAX: 34.43MIN: 20.36 / MAX: 38.81MIN: 20.02 / MAX: 33.93MIN: 19.94 / MAX: 33.141. (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: Age Gender Recognition Retail 0013 FP16 - Device: CPUDCBA10K20K30K40K50K47659.4748351.0146527.4248360.891. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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: DefaultDCBA61218243022.9623.7623.6723.65

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 CompileDCBA4080120160200189.03184.91185.52183.57

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 CompileDCBA132639526558.7957.1758.0957.451. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUDCBA2040608010087.6986.9285.9286.36MIN: 71.33 / MAX: 307.03MIN: 72.62 / MAX: 308.23MIN: 72.43 / MAX: 301.8MIN: 72.38 / MAX: 303.31. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUDCBA50100150200250227.42229.50232.03230.961. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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 RatingDCBA70K140K210K280K350K3375723406583403843413361. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 CompileDCBA122436486054.2154.4754.7154.27

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: Released Build, PGO + LTO OptimizedDCBA70140210280350330.26329.90329.06327.43

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: Person Detection FP32 - Device: CPUDCBA369121512.9112.8112.9112.901. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUDCBA300600900120015001531.791543.621534.431533.51MIN: 1295.79 / MAX: 2063.8MIN: 1391.97 / MAX: 2201.98MIN: 1304.79 / MAX: 2047.48MIN: 1281.86 / MAX: 2052.911. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

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 CompileDCBA306090120150138.87138.83137.84138.30

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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUDCBA300600900120015001515.021511.261510.951507.12MIN: 1296.34 / MAX: 2174.84MIN: 1270.98 / MAX: 2162.13MIN: 1308.26 / MAX: 2249.34MIN: 1301.34 / MAX: 2203.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUDCBA369121513.0713.0913.1313.121. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUDCBA61218243024.3624.3524.4524.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUDCBA2040608010083.0582.9383.1882.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUDCBA50100150200250240.51240.81240.12241.03MIN: 193.29 / MAX: 354.02MIN: 184.67 / MAX: 352.84MIN: 184.22 / MAX: 359.75MIN: 182.52 / MAX: 349.891. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUDCBA2004006008001000816.87816.86814.05816.29MIN: 598.11 / MAX: 895.97MIN: 530.61 / MAX: 979.49MIN: 578.83 / MAX: 898.2MIN: 551.08 / MAX: 937.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUDCBA81624324032.5132.5232.4932.41MIN: 28.45 / MAX: 103.54MIN: 27.88 / MAX: 95.98MIN: 28.03 / MAX: 111.13MIN: 28.01 / MAX: 107.861. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUDCBA4812162017.7417.8017.7617.78MIN: 13.24 / MAX: 128.1MIN: 12.08 / MAX: 129.12MIN: 11.23 / MAX: 112.73MIN: 12.46 / MAX: 116.591. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUDCBA20040060080010001124.791121.311123.631122.331. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUDCBA36912159.879.889.859.88MIN: 8.55 / MAX: 78.35MIN: 8.6 / MAX: 87.09MIN: 8.59 / MAX: 76.51MIN: 8.55 / MAX: 84.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUDCBA50010001500200025002441.152442.142443.952448.401. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUDCBA4008001200160020002020.402017.862023.272019.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUDCBA1.01932.03863.05794.07725.09654.534.524.534.53MIN: 4.09 / MAX: 57.12MIN: 4.09 / MAX: 46.43MIN: 4.09 / MAX: 62.16MIN: 4.08 / MAX: 61.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUDCBA90018002700360045004401.744408.174407.614399.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUDCBA2K4K6K8K10K9677.299685.179694.579683.641. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUDCBA2468108.258.258.248.25MIN: 7.19 / MAX: 25.48MIN: 7.2 / MAX: 25.16MIN: 7.21 / MAX: 25.73MIN: 7.22 / MAX: 24.741. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

41 Results Shown

OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
Mobile Neural Network:
  squeezenetv1.1
  MobileNetV2_224
  SqueezeNetV1.0
  mobilenet-v1-1.0
  nasnet
  mobilenetV3
  resnet-v2-50
Natron
OpenVINO
7-Zip Compression
Mobile Neural Network
OpenVINO
Timed CPython Compilation
Timed Node.js Compilation
Timed Wasmer Compilation
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
7-Zip Compression
Timed PHP Compilation
Timed CPython Compilation
OpenVINO:
  Person Detection FP32 - CPU:
    FPS
    ms
Timed Erlang/OTP Compilation
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
  Face Detection FP16 - CPU:
    FPS
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Face Detection FP16 - CPU:
    ms
  Weld Porosity Detection FP16 - CPU:
    ms
  Vehicle Detection FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms