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.

HTML result view exported from: https://openbenchmarking.org/result/2310318-PTS-NEWHALLO48&grt&sro.

new halloweenProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionabcdeAMD 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 13.2.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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 Processor Details- Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601203 Python Details- Python 3.11.6Security Details- 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

new halloweenopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUqmcpack: H4_aeqmcpack: Li2_STO_aeqmcpack: LiH_ae_MSDqmcpack: simple-H2Oqmcpack: O_ae_pyscf_UHFqmcpack: FeCO6_b3lyp_gmsbuild-gem5: Time To Compileabcde14.39553.4792.4086.4995.1084.08774.2110.2927.87286.443194.702.40313.9225.401729.224.591457.2610.964839.023.22507.9015.69140.2656.952824.385.621620.544.91744.8021.4436245.240.39642.3824.8751161.050.2710.89124.8047.80217.555121.2969.665225.70714.35554.2793.9585.0695.3783.8777.5810.2427.97285.613188.522.4315.8425.241734.394.581458.5810.954810.383.23527.2215.12137.0958.212825.425.621627.354.89740.421.5636324.480.39642.5524.8751246.150.2711.68124.9447.77917.756117.5569.609225.94214.42553.5192.2886.5993.5385.43787.5910.1127.98285.463196.572.4315.0425.311735.454.571458.8710.944831.353.22515.0515.47141.6556.392830.795.611632.034.87736.0821.736230.30.39648.4224.6551294.630.2711.46125.0247.69917.373123.169.104226.64114.4553.4595.7283.593.6585.32770.410.3427.9286.213191.142.4313.825.41734.44.581459.3910.944796.563.23525.3815.17140.3256.912826.615.611617.384.92737.2521.6636346.130.39646.7224.7151135.80.2711.57125.1948.09917.679122.6570.031225.95814.43553.3393.6985.2995.5283.68786.0710.1327.92286.023189.752.4316.1525.211734.34.581459.3610.944800.323.23502.1915.85138.4857.642832.735.611630.194.88738.3221.6336295.370.39647.2124.6951245.480.2711.04125.7148.74317.405118.4169.585225.803OpenBenchmarking.org

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUabcde48121620SE +/- 0.05, N = 314.3914.3514.4214.4014.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16 - Device: CPUabcde120240360480600SE +/- 2.04, N = 3553.47554.27553.51553.45553.33MIN: 515.82 / MAX: 572.71MIN: 526.03 / MAX: 573.73MIN: 529.5 / MAX: 572.8MIN: 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

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUabcde20406080100SE +/- 0.38, N = 392.4093.9592.2895.7293.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUabcde20406080100SE +/- 0.34, N = 386.4985.0686.5983.5085.29MIN: 54.98 / MAX: 118.77MIN: 66.32 / MAX: 117.18MIN: 64.62 / MAX: 113.06MIN: 63.05 / MAX: 117.82MIN: 70.2 / MAX: 118.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUabcde20406080100SE +/- 0.75, N = 995.1095.3793.5393.6595.521. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP32 - Device: CPUabcde20406080100SE +/- 0.65, N = 984.0883.8085.4385.3283.68MIN: 44.6 / MAX: 118.93MIN: 67.65 / MAX: 114MIN: 64.52 / MAX: 116.02MIN: 61.93 / MAX: 114.26MIN: 62.49 / MAX: 116.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUabcde2004006008001000SE +/- 2.47, N = 3774.21777.58787.59770.40786.071. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16 - Device: CPUabcde3691215SE +/- 0.03, N = 310.2910.2410.1110.3410.13MIN: 4 / MAX: 27.02MIN: 4.52 / MAX: 18.9MIN: 3.8 / MAX: 17.63MIN: 3.68 / MAX: 25.25MIN: 3.68 / MAX: 15.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUabcde714212835SE +/- 0.02, N = 327.8727.9727.9827.9027.921. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUabcde60120180240300SE +/- 0.22, N = 3286.44285.61285.46286.21286.02MIN: 271.76 / MAX: 293.99MIN: 269.96 / MAX: 294.04MIN: 271.88 / MAX: 292.13MIN: 275.05 / MAX: 291.64MIN: 274.05 / MAX: 291.041. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16 - Device: CPUabcde7001400210028003500SE +/- 9.02, N = 33194.703188.523196.573191.143189.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

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

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUabcde70140210280350SE +/- 2.23, N = 3313.92315.84315.04313.80316.151. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16 - Device: CPUabcde612182430SE +/- 0.18, N = 325.4025.2425.3125.4025.21MIN: 9.37 / MAX: 33.86MIN: 9.98 / MAX: 33.2MIN: 14.58 / MAX: 31.52MIN: 13.91 / MAX: 40.43MIN: 14.72 / MAX: 31.931. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUabcde400800120016002000SE +/- 2.35, N = 31729.221734.391735.451734.401734.301. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUabcde1.03282.06563.09844.13125.164SE +/- 0.01, N = 34.594.584.574.584.58MIN: 2.61 / MAX: 12.94MIN: 2.63 / MAX: 8.33MIN: 2.6 / MAX: 11.67MIN: 2.6 / MAX: 14.72MIN: 2.63 / MAX: 8.421. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUabcde30060090012001500SE +/- 0.48, N = 31457.261458.581458.871459.391459.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16 - Device: CPUabcde3691215SE +/- 0.00, N = 310.9610.9510.9410.9410.94MIN: 5.79 / MAX: 22.05MIN: 6 / MAX: 14.95MIN: 5.66 / MAX: 18.01MIN: 5.61 / MAX: 19.85MIN: 6.65 / MAX: 18.21. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUabcde10002000300040005000SE +/- 28.48, N = 34839.024810.384831.354796.564800.321. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUabcde0.72681.45362.18042.90723.634SE +/- 0.01, N = 33.223.233.223.233.23MIN: 1.8 / MAX: 10.96MIN: 1.78 / MAX: 12.09MIN: 1.78 / MAX: 12.23MIN: 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

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUabcde110220330440550SE +/- 6.07, N = 3507.90527.22515.05525.38502.191. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUabcde48121620SE +/- 0.18, N = 315.6915.1215.4715.1715.85MIN: 8.31 / MAX: 26.11MIN: 8.42 / MAX: 21.5MIN: 8.28 / MAX: 19.35MIN: 8.18 / MAX: 23.04MIN: 12.18 / MAX: 19.811. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUabcde306090120150SE +/- 0.80, N = 3140.26137.09141.65140.32138.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUabcde1326395265SE +/- 0.32, N = 356.9558.2156.3956.9157.64MIN: 30.37 / MAX: 66.81MIN: 26.52 / MAX: 65.1MIN: 30.19 / MAX: 67.6MIN: 29.72 / MAX: 68.2MIN: 28.67 / MAX: 66.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUabcde6001200180024003000SE +/- 1.88, N = 32824.382825.422830.792826.612832.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUabcde1.26452.5293.79355.0586.3225SE +/- 0.00, N = 35.625.625.615.615.61MIN: 2.95 / MAX: 13.45MIN: 2.93 / MAX: 14.07MIN: 2.96 / MAX: 13.92MIN: 2.99 / MAX: 13.89MIN: 2.95 / MAX: 13.931. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUabcde400800120016002000SE +/- 9.42, N = 31620.541627.351632.031617.381630.191. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUabcde1.1072.2143.3214.4285.535SE +/- 0.03, N = 34.914.894.874.924.88MIN: 3.22 / MAX: 27.28MIN: 3.25 / MAX: 10.7MIN: 3.32 / MAX: 9.37MIN: 3.38 / MAX: 10.18MIN: 3.37 / MAX: 8.431. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUabcde160320480640800SE +/- 3.52, N = 3744.80740.40736.08737.25738.321. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16 - Device: CPUabcde510152025SE +/- 0.10, N = 321.4421.5621.7021.6621.63MIN: 13.28 / MAX: 31.39MIN: 13.17 / MAX: 30.52MIN: 13.01 / MAX: 31.3MIN: 13.2 / MAX: 28.45MIN: 13.11 / MAX: 32.831. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUabcde8K16K24K32K40KSE +/- 15.90, N = 336245.2436324.4836230.3036346.1336295.371. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

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

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUabcde140280420560700SE +/- 2.03, N = 3642.38642.55648.42646.72647.211. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUabcde612182430SE +/- 0.08, N = 324.8724.8724.6524.7124.69MIN: 16.57 / MAX: 35.23MIN: 19.6 / MAX: 32.1MIN: 16.79 / MAX: 31.49MIN: 16.94 / MAX: 32.43MIN: 19.74 / MAX: 30.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUabcde11K22K33K44K55KSE +/- 65.26, N = 351161.0551246.1551294.6351135.8051245.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

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

QMCPACK

Input: H4_ae

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: H4_aeabcde3691215SE +/- 0.08, N = 310.8911.6811.4611.5711.041. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QMCPACK

Input: Li2_STO_ae

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

QMCPACK

Input: LiH_ae_MSD

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: LiH_ae_MSDabcde1122334455SE +/- 0.11, N = 347.8047.7847.7048.1048.741. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QMCPACK

Input: simple-H2O

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: simple-H2Oabcde48121620SE +/- 0.03, N = 317.5617.7617.3717.6817.411. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QMCPACK

Input: O_ae_pyscf_UHF

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: O_ae_pyscf_UHFabcde306090120150SE +/- 1.34, N = 4121.29117.55123.10122.65118.411. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

QMCPACK

Input: FeCO6_b3lyp_gms

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: FeCO6_b3lyp_gmsabcde1632486480SE +/- 0.05, N = 369.6769.6169.1070.0369.591. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To Compileabcde50100150200250SE +/- 0.31, N = 3225.71225.94226.64225.96225.80


Phoronix Test Suite v10.8.5