rembrandt openvino and other new

AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Ubuntu 22.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2208318-PTS-REMBRAND95&gru&export=pdf&rdt&rro.

rembrandt openvino and other newProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionAbCAMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads)LENOVO 21CM0001US (R22ET51W 1.21 BIOS)AMD Device 14b516GB512GB Micron MTFDKBA512TFKAMD Radeon 680M 1GB (2200/400MHz)AMD Rembrandt Radeon HD AudioQualcomm QCNFA765Ubuntu 22.106.0.0-060000rc2daily20220824-generic (x86_64)GNOME Shell 42.4X Server + Wayland4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48)1.3.211GCC 11.3.0ext41920x1200OpenBenchmarking.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,brig,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-targets=nvptx-none=/build/gcc-11-7Xaroy/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-7Xaroy/gcc-11-11.3.0/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 schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa404102 - ACPI Profile: balanced Python Details- Python 3.10.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

rembrandt openvino and other newopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3openvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUAbC1.461.000.98124.893.36210.28157.7517.91334.45216.864388.378512.51551255120312.1331.9243.49026.8706.7753.1113.02637.2912732.033986.394081.0931.981190.3819.0025.31223.3023.8418.401.770.921.471.010.99127.283.4212.48158.9918.04335.81216.634408.388565.58553955172712.2131.9193.50626.9236.7953.1323.01337.2062714.633955.074016.8831.381175.8418.8025.11221.6223.7418.421.760.921.471.000.99126.203.39210.84158.9718.06336.73216.914402.558563.92551475140612.0621.9203.45026.7156.6873.1013.01236.9362727.923967.684035.1131.651180.5818.9525.11221.4623.6818.401.770.92OpenBenchmarking.org

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUCbA0.33080.66160.99241.32321.654SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.471.471.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUCbA0.22730.45460.68190.90921.1365SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.001.011.001. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUCbA0.22280.44560.66840.89121.114SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.990.990.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUCbA306090120150SE +/- 0.36, N = 3SE +/- 0.40, N = 3SE +/- 1.02, N = 3126.20127.28124.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUCbA0.7651.532.2953.063.825SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 33.393.403.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUCbA50100150200250SE +/- 0.49, N = 3SE +/- 1.19, N = 3SE +/- 0.76, N = 3210.84212.48210.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUCbA4080120160200SE +/- 0.22, N = 3SE +/- 0.36, N = 3SE +/- 0.01, N = 3158.97158.99157.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUCbA48121620SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 318.0618.0417.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUCbA70140210280350SE +/- 0.54, N = 3SE +/- 0.62, N = 3SE +/- 0.15, N = 3336.73335.81334.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUCbA50100150200250SE +/- 2.10, N = 6SE +/- 1.90, N = 8SE +/- 1.35, N = 3216.91216.63216.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUCbA9001800270036004500SE +/- 3.62, N = 3SE +/- 10.48, N = 3SE +/- 7.50, N = 34402.554408.384388.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCbA2K4K6K8K10KSE +/- 40.98, N = 3SE +/- 18.04, N = 3SE +/- 8.43, N = 38563.928565.588512.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingCbA12K24K36K48K60KSE +/- 307.96, N = 3SE +/- 189.74, N = 3SE +/- 354.18, N = 35514755395551251. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingCbA11K22K33K44K55KSE +/- 890.93, N = 3SE +/- 815.01, N = 3SE +/- 786.48, N = 35140651727512031. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Mobile Neural Network

Model: nasnet

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetCbA3691215SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 312.0612.2112.13MIN: 11.31 / MAX: 47.17MIN: 11.26 / MAX: 49.36MIN: 11.39 / MAX: 49.711. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3CbA0.43290.86581.29871.73162.1645SE +/- 0.007, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 31.9201.9191.924MIN: 1.43 / MAX: 16.46MIN: 1.4 / MAX: 5.13MIN: 1.42 / MAX: 5.081. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1CbA0.78891.57782.36673.15563.9445SE +/- 0.019, N = 3SE +/- 0.018, N = 3SE +/- 0.054, N = 33.4503.5063.490MIN: 3.21 / MAX: 28.58MIN: 3.27 / MAX: 39.92MIN: 3.13 / MAX: 31.431. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50CbA612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 326.7226.9226.87MIN: 25.76 / MAX: 61.62MIN: 25.92 / MAX: 63.77MIN: 25.67 / MAX: 63.691. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0CbA246810SE +/- 0.029, N = 3SE +/- 0.006, N = 3SE +/- 0.058, N = 36.6876.7956.775MIN: 6.21 / MAX: 44.46MIN: 6.38 / MAX: 28.99MIN: 6.22 / MAX: 43.581. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224CbA0.70471.40942.11412.81883.5235SE +/- 0.010, N = 3SE +/- 0.008, N = 3SE +/- 0.015, N = 33.1013.1323.111MIN: 2.91 / MAX: 30.52MIN: 2.91 / MAX: 27.7MIN: 2.89 / MAX: 27.121. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0CbA0.68091.36182.04272.72363.4045SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 33.0123.0133.026MIN: 2.82 / MAX: 24.85MIN: 2.79 / MAX: 25.08MIN: 2.78 / MAX: 34.281. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3CbA918273645SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.27, N = 336.9437.2137.29MIN: 33.35 / MAX: 72.48MIN: 33.07 / MAX: 73MIN: 33.89 / MAX: 75.251. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUCbA6001200180024003000SE +/- 1.49, N = 3SE +/- 5.27, N = 3SE +/- 2.30, N = 32727.922714.632732.03MIN: 2663.42 / MAX: 2790.34MIN: 2566.77 / MAX: 2775.21MIN: 2684.4 / MAX: 2778.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUCbA9001800270036004500SE +/- 7.56, N = 3SE +/- 7.20, N = 3SE +/- 13.80, N = 33967.683955.073986.39MIN: 3819.7 / MAX: 4043.72MIN: 3719.09 / MAX: 4022.86MIN: 3822.49 / MAX: 4120.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUCbA9001800270036004500SE +/- 5.19, N = 3SE +/- 9.52, N = 3SE +/- 19.30, N = 34035.114016.884081.09MIN: 3881.64 / MAX: 4169.88MIN: 3787.09 / MAX: 4109.09MIN: 3979.02 / MAX: 4229.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUCbA714212835SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.26, N = 331.6531.3831.98MIN: 24.41 / MAX: 57.63MIN: 21.56 / MAX: 55.41MIN: 21.12 / MAX: 721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUCbA30060090012001500SE +/- 4.14, N = 3SE +/- 0.10, N = 3SE +/- 6.11, N = 31180.581175.841190.38MIN: 1119.6 / MAX: 1225.76MIN: 1089.88 / MAX: 1210.5MIN: 1162.14 / MAX: 1245.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUCbA510152025SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 318.9518.8019.00MIN: 14.87 / MAX: 38.72MIN: 14.71 / MAX: 39.05MIN: 14.9 / MAX: 54.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUCbA612182430SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 325.1125.1125.31MIN: 21.37 / MAX: 60.55MIN: 21.13 / MAX: 38.32MIN: 21.33 / MAX: 40.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUCbA50100150200250SE +/- 0.58, N = 3SE +/- 0.39, N = 3SE +/- 0.61, N = 3221.46221.62223.30MIN: 193.98 / MAX: 253.41MIN: 201.08 / MAX: 257.32MIN: 196.56 / MAX: 244.111. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUCbA612182430SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 323.6823.7423.84MIN: 19.67 / MAX: 58.27MIN: 19.99 / MAX: 48MIN: 19.99 / MAX: 58.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUCbA510152025SE +/- 0.18, N = 6SE +/- 0.16, N = 8SE +/- 0.12, N = 318.4018.4218.40MIN: 14.74 / MAX: 39.21MIN: 14.07 / MAX: 53.4MIN: 14.61 / MAX: 47.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUCbA0.39830.79661.19491.59321.9915SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.771.761.77MIN: 1.02 / MAX: 22.65MIN: 1.26 / MAX: 23.56MIN: 1.04 / MAX: 23.31. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCbA0.2070.4140.6210.8281.035SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.920.920.92MIN: 0.66 / MAX: 25.76MIN: 0.56 / MAX: 26.74MIN: 0.56 / MAX: 35.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

Phoronix Test Suite v10.8.5