new halloween

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and NVIDIA GeForce RTX 3060 Ti 8GB on Ubuntu 23.10 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 2310318-PTS-NEWHALLO48
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:

C++ Boost Tests 2 Tests
HPC - High Performance Computing 2 Tests
Multi-Core 2 Tests
Python Tests 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

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
a
October 31 2023
  2 Hours, 35 Minutes
b
October 31 2023
  47 Minutes
c
October 31 2023
  47 Minutes
d
October 31 2023
  47 Minutes
e
October 31 2023
  47 Minutes
Invert Hiding All Results Option
  1 Hour, 9 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):


new halloweenOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS)AMD Device 14d832GBWestern Digital WD_BLACK SN850X 1000GBNVIDIA GeForce RTX 3060 Ti 8GBNVIDIA GA104 HD AudioASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 23.106.6.0-060600rc5-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.7NVIDIA 545.23.064.6.0OpenCL 3.0 CUDA 12.3.68GCC 13.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionNew Halloween BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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-build-config=bootstrap-lto-lean --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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601203 - Python 3.11.6- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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 / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdeResult OverviewPhoronix Test Suite100%100%101%101%102%QMCPACKTimed Gem5 CompilationOpenVINO

new halloweenopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUbuild-gem5: Time To Compileqmcpack: H4_aeqmcpack: Li2_STO_aeqmcpack: LiH_ae_MSDqmcpack: simple-H2Oqmcpack: O_ae_pyscf_UHFqmcpack: FeCO6_b3lyp_gmsabcde14.3992.4095.10774.2127.873194.70313.921729.221457.264839.02507.90140.262824.381620.54744.8036245.24642.3851161.05553.4786.4984.0810.29286.442.4025.404.5910.963.2215.6956.955.624.9121.440.3924.870.27225.70710.89124.8047.80217.555121.2969.66514.3593.9595.37777.5827.973188.52315.841734.391458.584810.38527.22137.092825.421627.35740.436324.48642.5551246.15554.2785.0683.810.24285.612.425.244.5810.953.2315.1258.215.624.8921.560.3924.870.27225.94211.68124.9447.77917.756117.5569.60914.4292.2893.53787.5927.983196.57315.041735.451458.874831.35515.05141.652830.791632.03736.0836230.3648.4251294.63553.5186.5985.4310.11285.462.425.314.5710.943.2215.4756.395.614.8721.70.3924.650.27226.64111.46125.0247.69917.373123.169.10414.495.7293.65770.427.93191.14313.81734.41459.394796.56525.38140.322826.611617.38737.2536346.13646.7251135.8553.4583.585.3210.34286.212.425.44.5810.943.2315.1756.915.614.9221.660.3924.710.27225.95811.57125.1948.09917.679122.6570.03114.4393.6995.52786.0727.923189.75316.151734.31459.364800.32502.19138.482832.731630.19738.3236295.37647.2151245.48553.3385.2983.6810.13286.022.425.214.5810.943.2315.8557.645.614.8821.630.3924.690.27225.80311.04125.7148.74317.405118.4169.585OpenBenchmarking.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 2023.2.devModel: Face Detection FP16 - Device: CPUecdab48121620SE +/- 0.05, N = 314.4314.4214.4014.3914.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUdbeac20406080100SE +/- 0.38, N = 395.7293.9593.6992.4092.281. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUebadc20406080100SE +/- 0.75, N = 995.5295.3795.1093.6593.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUcebad2004006008001000SE +/- 2.47, N = 3787.59786.07777.58774.21770.401. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUcbeda714212835SE +/- 0.02, N = 327.9827.9727.9227.9027.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUcadeb7001400210028003500SE +/- 9.02, N = 33196.573194.703191.143189.753188.521. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUebcad70140210280350SE +/- 2.23, N = 3316.15315.84315.04313.92313.801. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUcdbea400800120016002000SE +/- 2.35, N = 31735.451734.401734.391734.301729.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUdecba30060090012001500SE +/- 0.48, N = 31459.391459.361458.871458.581457.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUacbed10002000300040005000SE +/- 28.48, N = 34839.024831.354810.384800.324796.561. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUbdcae110220330440550SE +/- 6.07, N = 3527.22525.38515.05507.90502.191. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUcdaeb306090120150SE +/- 0.80, N = 3141.65140.32140.26138.48137.091. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUecdba6001200180024003000SE +/- 1.88, N = 32832.732830.792826.612825.422824.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUcebad400800120016002000SE +/- 9.42, N = 31632.031630.191627.351620.541617.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUabedc160320480640800SE +/- 3.52, N = 3744.80740.40738.32737.25736.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUdbeac8K16K24K32K40KSE +/- 15.90, N = 336346.1336324.4836295.3736245.2436230.301. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUcedba140280420560700SE +/- 2.03, N = 3648.42647.21646.72642.55642.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUcbead11K22K33K44K55KSE +/- 65.26, N = 351294.6351246.1551245.4851161.0551135.801. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUedacb120240360480600SE +/- 2.04, N = 3553.33553.45553.47553.51554.27MIN: 535.16 / MAX: 568.76MIN: 540.2 / MAX: 567.97MIN: 515.82 / MAX: 572.71MIN: 529.5 / MAX: 572.8MIN: 526.03 / MAX: 573.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUdbeac20406080100SE +/- 0.34, N = 383.5085.0685.2986.4986.59MIN: 63.05 / MAX: 117.82MIN: 66.32 / MAX: 117.18MIN: 70.2 / MAX: 118.01MIN: 54.98 / MAX: 118.77MIN: 64.62 / MAX: 113.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUebadc20406080100SE +/- 0.65, N = 983.6883.8084.0885.3285.43MIN: 62.49 / MAX: 116.95MIN: 67.65 / MAX: 114MIN: 44.6 / MAX: 118.93MIN: 61.93 / MAX: 114.26MIN: 64.52 / MAX: 116.021. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUcebad3691215SE +/- 0.03, N = 310.1110.1310.2410.2910.34MIN: 3.8 / MAX: 17.63MIN: 3.68 / MAX: 15.99MIN: 4.52 / MAX: 18.9MIN: 4 / MAX: 27.02MIN: 3.68 / MAX: 25.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUcbeda60120180240300SE +/- 0.22, N = 3285.46285.61286.02286.21286.44MIN: 271.88 / MAX: 292.13MIN: 269.96 / MAX: 294.04MIN: 274.05 / MAX: 291.04MIN: 275.05 / MAX: 291.64MIN: 271.76 / MAX: 293.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUabcde0.541.081.622.162.7SE +/- 0.01, N = 32.402.402.402.402.40MIN: 1.24 / MAX: 8.2MIN: 1.24 / MAX: 9.32MIN: 1.24 / MAX: 9.59MIN: 1.24 / MAX: 9.36MIN: 1.23 / MAX: 5.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUebcad612182430SE +/- 0.18, N = 325.2125.2425.3125.4025.40MIN: 14.72 / MAX: 31.93MIN: 9.98 / MAX: 33.2MIN: 14.58 / MAX: 31.52MIN: 9.37 / MAX: 33.86MIN: 13.91 / MAX: 40.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUcbdea1.03282.06563.09844.13125.164SE +/- 0.01, N = 34.574.584.584.584.59MIN: 2.6 / MAX: 11.67MIN: 2.63 / MAX: 8.33MIN: 2.6 / MAX: 14.72MIN: 2.63 / MAX: 8.42MIN: 2.61 / MAX: 12.941. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUcdeba3691215SE +/- 0.00, N = 310.9410.9410.9410.9510.96MIN: 5.66 / MAX: 18.01MIN: 5.61 / MAX: 19.85MIN: 6.65 / MAX: 18.2MIN: 6 / MAX: 14.95MIN: 5.79 / MAX: 22.051. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUacbde0.72681.45362.18042.90723.634SE +/- 0.01, N = 33.223.223.233.233.23MIN: 1.8 / MAX: 10.96MIN: 1.78 / MAX: 12.23MIN: 1.78 / MAX: 12.09MIN: 1.78 / MAX: 11.34MIN: 1.79 / MAX: 10.281. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUbdcae48121620SE +/- 0.18, N = 315.1215.1715.4715.6915.85MIN: 8.42 / MAX: 21.5MIN: 8.18 / MAX: 23.04MIN: 8.28 / MAX: 19.35MIN: 8.31 / MAX: 26.11MIN: 12.18 / MAX: 19.811. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUcdaeb1326395265SE +/- 0.32, N = 356.3956.9156.9557.6458.21MIN: 30.19 / MAX: 67.6MIN: 29.72 / MAX: 68.2MIN: 30.37 / MAX: 66.81MIN: 28.67 / MAX: 66.24MIN: 26.52 / MAX: 65.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUcdeab1.26452.5293.79355.0586.3225SE +/- 0.00, N = 35.615.615.615.625.62MIN: 2.96 / MAX: 13.92MIN: 2.99 / MAX: 13.89MIN: 2.95 / MAX: 13.93MIN: 2.95 / MAX: 13.45MIN: 2.93 / MAX: 14.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUcebad1.1072.2143.3214.4285.535SE +/- 0.03, N = 34.874.884.894.914.92MIN: 3.32 / MAX: 9.37MIN: 3.37 / MAX: 8.43MIN: 3.25 / MAX: 10.7MIN: 3.22 / MAX: 27.28MIN: 3.38 / MAX: 10.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUabedc510152025SE +/- 0.10, N = 321.4421.5621.6321.6621.70MIN: 13.28 / MAX: 31.39MIN: 13.17 / MAX: 30.52MIN: 13.11 / MAX: 32.83MIN: 13.2 / MAX: 28.45MIN: 13.01 / MAX: 31.31. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUabcde0.08780.17560.26340.35120.439SE +/- 0.00, N = 30.390.390.390.390.39MIN: 0.21 / MAX: 8.33MIN: 0.2 / MAX: 6.46MIN: 0.2 / MAX: 6.43MIN: 0.21 / MAX: 6.48MIN: 0.2 / MAX: 6.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUcedab612182430SE +/- 0.08, N = 324.6524.6924.7124.8724.87MIN: 16.79 / MAX: 31.49MIN: 19.74 / MAX: 30.85MIN: 16.94 / MAX: 32.43MIN: 16.57 / MAX: 35.23MIN: 19.6 / MAX: 32.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUabcde0.06080.12160.18240.24320.304SE +/- 0.00, N = 30.270.270.270.270.27MIN: 0.15 / MAX: 6.48MIN: 0.15 / MAX: 6.39MIN: 0.15 / MAX: 3.99MIN: 0.15 / MAX: 6.42MIN: 0.15 / MAX: 6.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To Compileaebdc50100150200250SE +/- 0.31, N = 3225.71225.80225.94225.96226.64

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: H4_aeaecdb3691215SE +/- 0.08, N = 310.8911.0411.4611.5711.681. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeabcde306090120150SE +/- 0.22, N = 3124.80124.94125.02125.19125.711. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: LiH_ae_MSDcbade1122334455SE +/- 0.11, N = 347.7047.7847.8048.1048.741. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: simple-H2Oceadb48121620SE +/- 0.03, N = 317.3717.4117.5617.6817.761. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: O_ae_pyscf_UHFbeadc306090120150SE +/- 1.34, N = 4117.55118.41121.29122.65123.101. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: FeCO6_b3lyp_gmscebad1632486480SE +/- 0.05, N = 369.1069.5969.6169.6770.031. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

43 Results Shown

OpenVINO:
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU
  Road Segmentation ADAS FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU
  Road Segmentation ADAS FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
Timed Gem5 Compilation
QMCPACK:
  H4_ae
  Li2_STO_ae
  LiH_ae_MSD
  simple-H2O
  O_ae_pyscf_UHF
  FeCO6_b3lyp_gms