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
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a
October 31 2023
  2 Hours, 35 Minutes
b
October 31 2023
  47 Minutes
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October 31 2023
  47 Minutes
d
October 31 2023
  47 Minutes
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October 31 2023
  47 Minutes
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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 halloweenbuild-gem5: Time To Compileqmcpack: O_ae_pyscf_UHFqmcpack: Li2_STO_aeopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUqmcpack: FeCO6_b3lyp_gmsopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUqmcpack: LiH_ae_MSDqmcpack: simple-H2Oqmcpack: H4_aeabcde225.707121.29124.8084.0895.1069.665553.4714.39286.4427.8786.4992.4056.95140.2615.69507.904.911620.5425.40313.9224.87642.383.224839.024.591729.2221.44744.800.2751161.050.3936245.2410.29774.2110.961457.265.622824.382.403194.7047.80217.55510.89225.942117.55124.9483.895.3769.609554.2714.35285.6127.9785.0693.9558.21137.0915.12527.224.891627.3525.24315.8424.87642.553.234810.384.581734.3921.56740.40.2751246.150.3936324.4810.24777.5810.951458.585.622825.422.43188.5247.77917.75611.68226.641123.1125.0285.4393.5369.104553.5114.42285.4627.9886.5992.2856.39141.6515.47515.054.871632.0325.31315.0424.65648.423.224831.354.571735.4521.7736.080.2751294.630.3936230.310.11787.5910.941458.875.612830.792.43196.5747.69917.37311.46225.958122.65125.1985.3293.6570.031553.4514.4286.2127.983.595.7256.91140.3215.17525.384.921617.3825.4313.824.71646.723.234796.564.581734.421.66737.250.2751135.80.3936346.1310.34770.410.941459.395.612826.612.43191.1448.09917.67911.57225.803118.41125.7183.6895.5269.585553.3314.43286.0227.9285.2993.6957.64138.4815.85502.194.881630.1925.21316.1524.69647.213.234800.324.581734.321.63738.320.2751245.480.3936295.3710.13786.0710.941459.365.612832.732.43189.7548.74317.40511.04OpenBenchmarking.org

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 Compilecdbea50100150200250SE +/- 0.31, N = 3226.64225.96225.94225.80225.71

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: O_ae_pyscf_UHFcdaeb306090120150SE +/- 1.34, N = 4123.10122.65121.29118.41117.551. (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_aeedcba306090120150SE +/- 0.22, N = 3125.71125.19125.02124.94124.801. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -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.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUcdabe20406080100SE +/- 0.65, N = 985.4385.3284.0883.8083.68MIN: 64.52 / MAX: 116.02MIN: 61.93 / MAX: 114.26MIN: 44.6 / MAX: 118.93MIN: 67.65 / MAX: 114MIN: 62.49 / MAX: 116.951. (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: CPUcdabe20406080100SE +/- 0.75, N = 993.5393.6595.1095.3795.521. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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: FeCO6_b3lyp_gmsdabec1632486480SE +/- 0.05, N = 370.0369.6769.6169.5969.101. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -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.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUbcade120240360480600SE +/- 2.04, N = 3554.27553.51553.47553.45553.33MIN: 526.03 / MAX: 573.73MIN: 529.5 / MAX: 572.8MIN: 515.82 / MAX: 572.71MIN: 540.2 / MAX: 567.97MIN: 535.16 / MAX: 568.761. (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 - Device: CPUbadce48121620SE +/- 0.05, N = 314.3514.3914.4014.4214.431. (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: CPUadebc60120180240300SE +/- 0.22, N = 3286.44286.21286.02285.61285.46MIN: 271.76 / MAX: 293.99MIN: 275.05 / MAX: 291.64MIN: 274.05 / MAX: 291.04MIN: 269.96 / MAX: 294.04MIN: 271.88 / MAX: 292.131. (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: CPUadebc714212835SE +/- 0.02, N = 327.8727.9027.9227.9727.981. (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: CPUcaebd20406080100SE +/- 0.34, N = 386.5986.4985.2985.0683.50MIN: 64.62 / MAX: 113.06MIN: 54.98 / MAX: 118.77MIN: 70.2 / MAX: 118.01MIN: 66.32 / MAX: 117.18MIN: 63.05 / MAX: 117.821. (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: CPUcaebd20406080100SE +/- 0.38, N = 392.2892.4093.6993.9595.721. (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: CPUbeadc1326395265SE +/- 0.32, N = 358.2157.6456.9556.9156.39MIN: 26.52 / MAX: 65.1MIN: 28.67 / MAX: 66.24MIN: 30.37 / MAX: 66.81MIN: 29.72 / MAX: 68.2MIN: 30.19 / MAX: 67.61. (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: CPUbeadc306090120150SE +/- 0.80, N = 3137.09138.48140.26140.32141.651. (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: CPUeacdb48121620SE +/- 0.18, N = 315.8515.6915.4715.1715.12MIN: 12.18 / MAX: 19.81MIN: 8.31 / MAX: 26.11MIN: 8.28 / MAX: 19.35MIN: 8.18 / MAX: 23.04MIN: 8.42 / MAX: 21.51. (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: CPUeacdb110220330440550SE +/- 6.07, N = 3502.19507.90515.05525.38527.221. (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: CPUdabec1.1072.2143.3214.4285.535SE +/- 0.03, N = 34.924.914.894.884.87MIN: 3.38 / MAX: 10.18MIN: 3.22 / MAX: 27.28MIN: 3.25 / MAX: 10.7MIN: 3.37 / MAX: 8.43MIN: 3.32 / MAX: 9.371. (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: CPUdabec400800120016002000SE +/- 9.42, N = 31617.381620.541627.351630.191632.031. (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: CPUdacbe612182430SE +/- 0.18, N = 325.4025.4025.3125.2425.21MIN: 13.91 / MAX: 40.43MIN: 9.37 / MAX: 33.86MIN: 14.58 / MAX: 31.52MIN: 9.98 / MAX: 33.2MIN: 14.72 / MAX: 31.931. (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: CPUdacbe70140210280350SE +/- 2.23, N = 3313.80313.92315.04315.84316.151. (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: CPUbadec612182430SE +/- 0.08, N = 324.8724.8724.7124.6924.65MIN: 19.6 / MAX: 32.1MIN: 16.57 / MAX: 35.23MIN: 16.94 / MAX: 32.43MIN: 19.74 / MAX: 30.85MIN: 16.79 / MAX: 31.491. (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: CPUabdec140280420560700SE +/- 2.03, N = 3642.38642.55646.72647.21648.421. (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: CPUedbca0.72681.45362.18042.90723.634SE +/- 0.01, N = 33.233.233.233.223.22MIN: 1.79 / MAX: 10.28MIN: 1.78 / MAX: 11.34MIN: 1.78 / MAX: 12.09MIN: 1.78 / MAX: 12.23MIN: 1.8 / MAX: 10.961. (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: CPUdebca10002000300040005000SE +/- 28.48, N = 34796.564800.324810.384831.354839.021. (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-INT8 - Device: CPUaedbc1.03282.06563.09844.13125.164SE +/- 0.01, N = 34.594.584.584.584.57MIN: 2.61 / MAX: 12.94MIN: 2.63 / MAX: 8.42MIN: 2.6 / MAX: 14.72MIN: 2.63 / MAX: 8.33MIN: 2.6 / MAX: 11.671. (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: CPUaebdc400800120016002000SE +/- 2.35, N = 31729.221734.301734.391734.401735.451. (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: CPUcdeba510152025SE +/- 0.10, N = 321.7021.6621.6321.5621.44MIN: 13.01 / MAX: 31.3MIN: 13.2 / MAX: 28.45MIN: 13.11 / MAX: 32.83MIN: 13.17 / MAX: 30.52MIN: 13.28 / MAX: 31.391. (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: CPUcdeba160320480640800SE +/- 3.52, N = 3736.08737.25738.32740.40744.801. (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: CPUedcba0.06080.12160.18240.24320.304SE +/- 0.00, N = 30.270.270.270.270.27MIN: 0.15 / MAX: 6.35MIN: 0.15 / MAX: 6.42MIN: 0.15 / MAX: 3.99MIN: 0.15 / MAX: 6.39MIN: 0.15 / MAX: 6.481. (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: CPUdaebc11K22K33K44K55KSE +/- 65.26, N = 351135.8051161.0551245.4851246.1551294.631. (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: CPUedcba0.08780.17560.26340.35120.439SE +/- 0.00, N = 30.390.390.390.390.39MIN: 0.2 / MAX: 6.46MIN: 0.21 / MAX: 6.48MIN: 0.2 / MAX: 6.43MIN: 0.2 / MAX: 6.46MIN: 0.21 / MAX: 8.331. (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: CPUcaebd8K16K24K32K40KSE +/- 15.90, N = 336230.3036245.2436295.3736324.4836346.131. (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: CPUdabec3691215SE +/- 0.03, N = 310.3410.2910.2410.1310.11MIN: 3.68 / MAX: 25.25MIN: 4 / MAX: 27.02MIN: 4.52 / MAX: 18.9MIN: 3.68 / MAX: 15.99MIN: 3.8 / MAX: 17.631. (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: CPUdabec2004006008001000SE +/- 2.47, N = 3770.40774.21777.58786.07787.591. (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: CPUabedc3691215SE +/- 0.00, N = 310.9610.9510.9410.9410.94MIN: 5.79 / MAX: 22.05MIN: 6 / MAX: 14.95MIN: 6.65 / MAX: 18.2MIN: 5.61 / MAX: 19.85MIN: 5.66 / MAX: 18.011. (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: CPUabced30060090012001500SE +/- 0.48, N = 31457.261458.581458.871459.361459.391. (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: CPUbaedc1.26452.5293.79355.0586.3225SE +/- 0.00, N = 35.625.625.615.615.61MIN: 2.93 / MAX: 14.07MIN: 2.95 / MAX: 13.45MIN: 2.95 / MAX: 13.93MIN: 2.99 / MAX: 13.89MIN: 2.96 / MAX: 13.921. (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: CPUabdce6001200180024003000SE +/- 1.88, N = 32824.382825.422826.612830.792832.731. (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: CPUedcba0.541.081.622.162.7SE +/- 0.01, N = 32.402.402.402.402.40MIN: 1.23 / MAX: 5.71MIN: 1.24 / MAX: 9.36MIN: 1.24 / MAX: 9.59MIN: 1.24 / MAX: 9.32MIN: 1.24 / MAX: 8.21. (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: CPUbedac7001400210028003500SE +/- 9.02, N = 33188.523189.753191.143194.703196.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

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: LiH_ae_MSDedabc1122334455SE +/- 0.11, N = 348.7448.1047.8047.7847.701. (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-H2Obdaec48121620SE +/- 0.03, N = 317.7617.6817.5617.4117.371. (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: H4_aebdcea3691215SE +/- 0.08, N = 311.6811.5711.4611.0410.891. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

43 Results Shown

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