5775C Tests

Intel Core i7-5775C testing with a CompuLab v1.0 (ARTP-3.1.0.637.0.0 X64 BIOS) and eVGA NVIDIA NV126 2GB 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 2010318-FI-5775CTEST00
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October 31 2020
  50 Minutes
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October 31 2020
  50 Minutes
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October 31 2020
  50 Minutes
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5775C TestsProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Core i7-5775C @ 3.70GHz (4 Cores / 8 Threads)CompuLab v1.0 (ARTP-3.1.0.637.0.0 X64 BIOS)Intel Broadwell-U DMI16GB256GB ADATA SP310eVGA NVIDIA NV126 2GBRealtek ALC886G237HLIntel I218-LM + Intel I210 + Intel 7260Ubuntu 20.045.4.0-52-generic (x86_64)GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.84.3 Mesa 20.0.8GCC 9.3.0ext41920x1080256GB ADATA SP310 + 15GB Ultra USB 3.0OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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-HskZEa/gcc-9-9.3.0/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 Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x22 - Thermald 1.9.1 Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of Split huge pages + 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

123Result OverviewPhoronix Test Suite100%101%102%104%105%OpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOApache CouchDBP.D.0.F - CPUP.D.0.F - CPUP.D.0.F - CPUF.D.0.F - CPUF.D.0.F - CPUP.D.0.F - CPUA.G.R.R.0.F - CPUF.D.0.F - CPUA.G.R.R.0.F - CPUF.D.0.F - CPUA.G.R.R.0.F - CPUA.G.R.R.0.F - CPU100 - 1000 - 24

5775C Testsopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUcouchdb: 100 - 1000 - 241230.646199.980.661.013952.106010.862416.861.001.613986.592418.461.59147.3760.675992.190.681.043849.535879.072435.761.021.583912.342452.511.57146.7800.656105.680.671.033884.785940.862387.101.011.593962.162421.481.57147.485OpenBenchmarking.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 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.15080.30160.45240.60320.754SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.640.670.65
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU123246810Min: 0.64 / Avg: 0.64 / Max: 0.65Min: 0.66 / Avg: 0.67 / Max: 0.67Min: 0.65 / Avg: 0.65 / Max: 0.66

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12313002600390052006500SE +/- 8.96, N = 3SE +/- 10.19, N = 3SE +/- 59.45, N = 36199.985992.196105.68
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12311002200330044005500Min: 6188.32 / Avg: 6199.98 / Max: 6217.6Min: 5976.54 / Avg: 5992.19 / Max: 6011.31Min: 6017.03 / Avg: 6105.68 / Max: 6218.62

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.1530.3060.4590.6120.765SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.660.680.67
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU123246810Min: 0.66 / Avg: 0.66 / Max: 0.67Min: 0.68 / Avg: 0.68 / Max: 0.68Min: 0.67 / Avg: 0.67 / Max: 0.67

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1230.2340.4680.7020.9361.17SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.011.041.03
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 1.01 / Avg: 1.01 / Max: 1.02Min: 1.03 / Avg: 1.04 / Max: 1.05Min: 1.03 / Avg: 1.03 / Max: 1.03

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1238001600240032004000SE +/- 13.02, N = 3SE +/- 12.10, N = 3SE +/- 4.78, N = 33952.103849.533884.78
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1237001400210028003500Min: 3926.11 / Avg: 3952.1 / Max: 3966.43Min: 3826.89 / Avg: 3849.53 / Max: 3868.26Min: 3875.24 / Avg: 3884.78 / Max: 3890.04

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12313002600390052006500SE +/- 19.02, N = 3SE +/- 12.14, N = 3SE +/- 9.69, N = 36010.865879.075940.86
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12310002000300040005000Min: 5975.42 / Avg: 6010.86 / Max: 6040.53Min: 5857.95 / Avg: 5879.07 / Max: 5900.02Min: 5931.03 / Avg: 5940.86 / Max: 5960.24

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1235001000150020002500SE +/- 22.63, N = 3SE +/- 12.60, N = 3SE +/- 4.65, N = 32416.862435.762387.10
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123400800120016002000Min: 2384.88 / Avg: 2416.86 / Max: 2460.58Min: 2411.5 / Avg: 2435.76 / Max: 2453.77Min: 2378.49 / Avg: 2387.1 / Max: 2394.44

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.22950.4590.68850.9181.1475SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.001.021.01
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123246810Min: 1 / Avg: 1 / Max: 1.01Min: 1.02 / Avg: 1.02 / Max: 1.02Min: 1.01 / Avg: 1.01 / Max: 1.01

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.36230.72461.08691.44921.8115SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.611.581.59
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 1.6 / Avg: 1.61 / Max: 1.62Min: 1.57 / Avg: 1.58 / Max: 1.59Min: 1.58 / Avg: 1.59 / Max: 1.6

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1239001800270036004500SE +/- 6.65, N = 3SE +/- 5.20, N = 3SE +/- 7.18, N = 33986.593912.343962.16
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1237001400210028003500Min: 3974.72 / Avg: 3986.59 / Max: 3997.73Min: 3906.13 / Avg: 3912.34 / Max: 3922.67Min: 3948.73 / Avg: 3962.16 / Max: 3973.3

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1235001000150020002500SE +/- 0.38, N = 3SE +/- 32.73, N = 3SE +/- 15.31, N = 32418.462452.512421.48
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123400800120016002000Min: 2417.86 / Avg: 2418.46 / Max: 2419.15Min: 2419.66 / Avg: 2452.51 / Max: 2517.97Min: 2393.04 / Avg: 2421.48 / Max: 2445.51

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.35780.71561.07341.43121.789SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.591.571.57
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 1.57 / Avg: 1.59 / Max: 1.6Min: 1.56 / Avg: 1.57 / Max: 1.57Min: 1.56 / Avg: 1.57 / Max: 1.57

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24123306090120150SE +/- 0.92, N = 3SE +/- 0.18, N = 3SE +/- 1.01, N = 3147.38146.78147.491. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24123306090120150Min: 145.56 / Avg: 147.38 / Max: 148.46Min: 146.44 / Avg: 146.78 / Max: 147.03Min: 146.11 / Avg: 147.49 / Max: 149.461. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

13 Results Shown

OpenVINO:
  Person Detection 0106 FP32 - CPU:
    FPS
    ms
  Person Detection 0106 FP16 - CPU:
    FPS
  Face Detection 0106 FP16 - CPU:
    FPS
    ms
  Person Detection 0106 FP16 - CPU:
    ms
  Age Gender Recognition Retail 0013 FP32 - CPU:
    FPS
  Face Detection 0106 FP32 - CPU:
    FPS
  Age Gender Recognition Retail 0013 FP32 - CPU:
    ms
  Face Detection 0106 FP32 - CPU:
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
Apache CouchDB