g3258-openvino

Intel Pentium G3258 testing with a ASUS Z97I-PLUS (2401 BIOS) and ASUS Intel Xeon E3-1200 v3/4th Gen Core IGP 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 2011155-HYDR-G3258OP19
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

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
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
Performance Per
Dollar
Date
Run
  Test
  Duration
native
November 15 2020
  44 Minutes
westmere
November 15 2020
  44 Minutes
Invert Hiding All Results Option
  44 Minutes
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):


g3258-openvinoOpenBenchmarking.orgPhoronix Test SuiteIntel Pentium G3258 @ 4.00GHz (2 Cores)ASUS Z97I-PLUS (2401 BIOS)Intel 4th Gen Core DRAM8GB31GB UltraASUS Intel Xeon E3-1200 v3/4th Gen Core IGP (1100MHz)Intel Xeon E3-1200 v3/4thiScan DuoIntel I218-VUbuntu 20.045.4.0-53-generic (x86_64)GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelCompilerFile-SystemScreen ResolutionG3258-openvino BenchmarksSystem Logs- native: CXXFLAGS=-march=native CFLAGS=-march=native- westmere: CXXFLAGS=-march=westmere CFLAGS=-march=westmere- --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 - Scaling Governor: intel_pstate performance - CPU Microcode: 0x28 - Thermald 1.9.1 - Python 3.8.5- itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

g3258-openvinoopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUnativewestmere8587.590.128591.090.125764.140.175741.380.172.1466.892.10473.128591.980.128592.040.125761.810.175747.440.172.11471.142.10473.77OpenBenchmarking.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.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUnativewestmere2K4K6K8K10KSE +/- 1.07, N = 3SE +/- 0.73, N = 38587.598591.98
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUnativewestmere15003000450060007500Min: 8586.08 / Avg: 8587.59 / Max: 8589.67Min: 8590.64 / Avg: 8591.98 / Max: 8593.15

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUnativewestmere0.0270.0540.0810.1080.135SE +/- 0.00, N = 3SE +/- 0.00, N = 30.120.12
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUnativewestmere12345Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.12

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUnativewestmere2K4K6K8K10KSE +/- 2.00, N = 3SE +/- 2.57, N = 38591.098592.04
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUnativewestmere15003000450060007500Min: 8587.52 / Avg: 8591.09 / Max: 8594.44Min: 8588.34 / Avg: 8592.04 / Max: 8596.97

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUnativewestmere0.0270.0540.0810.1080.135SE +/- 0.00, N = 3SE +/- 0.00, N = 30.120.12
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUnativewestmere12345Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.12 / Avg: 0.12 / Max: 0.12

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUnativewestmere12002400360048006000SE +/- 8.35, N = 3SE +/- 4.95, N = 35764.145761.81
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUnativewestmere10002000300040005000Min: 5747.5 / Avg: 5764.14 / Max: 5773.65Min: 5751.91 / Avg: 5761.81 / Max: 5767.08

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUnativewestmere0.03830.07660.11490.15320.1915SE +/- 0.00, N = 3SE +/- 0.00, N = 30.170.17
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUnativewestmere12345Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.17 / Avg: 0.17 / Max: 0.17

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUnativewestmere12002400360048006000SE +/- 1.18, N = 3SE +/- 5.75, N = 35741.385747.44
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUnativewestmere10002000300040005000Min: 5739.66 / Avg: 5741.38 / Max: 5743.64Min: 5741.38 / Avg: 5747.44 / Max: 5758.93

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUnativewestmere0.03830.07660.11490.15320.1915SE +/- 0.00, N = 3SE +/- 0.00, N = 30.170.17
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUnativewestmere12345Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.17 / Avg: 0.17 / Max: 0.17

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUnativewestmere0.47480.94961.42441.89922.374SE +/- 0.03, N = 3SE +/- 0.02, N = 32.102.11
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUnativewestmere246810Min: 2.1 / Avg: 2.13 / Max: 2.2Min: 2.09 / Avg: 2.11 / Max: 2.14

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUnativewestmere100200300400500SE +/- 7.23, N = 3SE +/- 3.85, N = 3466.89471.14
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUnativewestmere80160240320400Min: 452.43 / Avg: 466.89 / Max: 474.21Min: 463.45 / Avg: 471.14 / Max: 475.36

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUnativewestmere0.47250.9451.41751.892.3625SE +/- 0.00, N = 3SE +/- 0.00, N = 32.102.10
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUnativewestmere246810Min: 2.1 / Avg: 2.1 / Max: 2.11Min: 2.1 / Avg: 2.1 / Max: 2.11

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUnativewestmere100200300400500SE +/- 0.39, N = 3SE +/- 0.80, N = 3473.12473.77
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUnativewestmere80160240320400Min: 472.34 / Avg: 473.12 / Max: 473.59Min: 472.27 / Avg: 473.77 / Max: 475.01

12 Results Shown

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