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&sro.

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 newcompress-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: 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: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - 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: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUAbC551255120312.1331.9243.49026.8706.7753.1113.02637.2911.462732.031.003986.390.984081.09124.8931.983.361190.38210.2819.00157.7525.3117.91223.30334.4523.84216.8618.404388.371.778512.510.92553955172712.2131.9193.50626.9236.7953.1323.01337.2061.472714.631.013955.070.994016.88127.2831.383.41175.84212.4818.80158.9925.1118.04221.62335.8123.74216.6318.424408.381.768565.580.92551475140612.0621.9203.45026.7156.6873.1013.01236.9361.472727.921.003967.680.994035.11126.2031.653.391180.58210.8418.95158.9725.1118.06221.46336.7323.68216.9118.404402.551.778563.920.92OpenBenchmarking.org

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingACb12K24K36K48K60KSE +/- 354.18, N = 3SE +/- 307.96, N = 3SE +/- 189.74, N = 35512555147553951. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingACb11K22K33K44K55KSE +/- 786.48, N = 3SE +/- 890.93, N = 3SE +/- 815.01, N = 35120351406517271. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Mobile Neural Network

Model: nasnet

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetACb3691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 312.1312.0612.21MIN: 11.39 / MAX: 49.71MIN: 11.31 / MAX: 47.17MIN: 11.26 / MAX: 49.361. (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: mobilenetV3ACb0.43290.86581.29871.73162.1645SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.006, N = 31.9241.9201.919MIN: 1.42 / MAX: 5.08MIN: 1.43 / MAX: 16.46MIN: 1.4 / MAX: 5.131. (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: squeezenetv1.1ACb0.78891.57782.36673.15563.9445SE +/- 0.054, N = 3SE +/- 0.019, N = 3SE +/- 0.018, N = 33.4903.4503.506MIN: 3.13 / MAX: 31.43MIN: 3.21 / MAX: 28.58MIN: 3.27 / MAX: 39.921. (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-v2-50ACb612182430SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 326.8726.7226.92MIN: 25.67 / MAX: 63.69MIN: 25.76 / MAX: 61.62MIN: 25.92 / MAX: 63.771. (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: SqueezeNetV1.0ACb246810SE +/- 0.058, N = 3SE +/- 0.029, N = 3SE +/- 0.006, N = 36.7756.6876.795MIN: 6.22 / MAX: 43.58MIN: 6.21 / MAX: 44.46MIN: 6.38 / MAX: 28.991. (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_224ACb0.70471.40942.11412.81883.5235SE +/- 0.015, N = 3SE +/- 0.010, N = 3SE +/- 0.008, N = 33.1113.1013.132MIN: 2.89 / MAX: 27.12MIN: 2.91 / MAX: 30.52MIN: 2.91 / MAX: 27.71. (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-v1-1.0ACb0.68091.36182.04272.72363.4045SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 33.0263.0123.013MIN: 2.78 / MAX: 34.28MIN: 2.82 / MAX: 24.85MIN: 2.79 / MAX: 25.081. (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: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3ACb918273645SE +/- 0.27, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 337.2936.9437.21MIN: 33.89 / MAX: 75.25MIN: 33.35 / MAX: 72.48MIN: 33.07 / MAX: 731. (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.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUACb0.33080.66160.99241.32321.654SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.461.471.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUACb6001200180024003000SE +/- 2.30, N = 3SE +/- 1.49, N = 3SE +/- 5.27, N = 32732.032727.922714.63MIN: 2684.4 / MAX: 2778.78MIN: 2663.42 / MAX: 2790.34MIN: 2566.77 / MAX: 2775.211. (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: CPUACb0.22730.45460.68190.90921.1365SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.001.001.011. (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: CPUACb9001800270036004500SE +/- 13.80, N = 3SE +/- 7.56, N = 3SE +/- 7.20, N = 33986.393967.683955.07MIN: 3822.49 / MAX: 4120.21MIN: 3819.7 / MAX: 4043.72MIN: 3719.09 / MAX: 4022.861. (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: CPUACb0.22280.44560.66840.89121.114SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.980.990.991. (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: CPUACb9001800270036004500SE +/- 19.30, N = 3SE +/- 5.19, N = 3SE +/- 9.52, N = 34081.094035.114016.88MIN: 3979.02 / MAX: 4229.09MIN: 3881.64 / MAX: 4169.88MIN: 3787.09 / MAX: 4109.091. (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.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUACb306090120150SE +/- 1.02, N = 3SE +/- 0.36, N = 3SE +/- 0.40, N = 3124.89126.20127.281. (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: CPUACb714212835SE +/- 0.26, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 331.9831.6531.38MIN: 21.12 / MAX: 72MIN: 24.41 / MAX: 57.63MIN: 21.56 / MAX: 55.411. (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: CPUACb0.7651.532.2953.063.825SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.363.393.401. (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: CPUACb30060090012001500SE +/- 6.11, N = 3SE +/- 4.14, N = 3SE +/- 0.10, N = 31190.381180.581175.84MIN: 1162.14 / MAX: 1245.69MIN: 1119.6 / MAX: 1225.76MIN: 1089.88 / MAX: 1210.51. (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: CPUACb50100150200250SE +/- 0.76, N = 3SE +/- 0.49, N = 3SE +/- 1.19, N = 3210.28210.84212.481. (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: CPUACb510152025SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 319.0018.9518.80MIN: 14.9 / MAX: 54.02MIN: 14.87 / MAX: 38.72MIN: 14.71 / MAX: 39.051. (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: CPUACb4080120160200SE +/- 0.01, N = 3SE +/- 0.22, N = 3SE +/- 0.36, N = 3157.75158.97158.991. (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: CPUACb612182430SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 325.3125.1125.11MIN: 21.33 / MAX: 40.07MIN: 21.37 / MAX: 60.55MIN: 21.13 / MAX: 38.321. (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: CPUACb48121620SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 317.9118.0618.041. (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: CPUACb50100150200250SE +/- 0.61, N = 3SE +/- 0.58, N = 3SE +/- 0.39, N = 3223.30221.46221.62MIN: 196.56 / MAX: 244.11MIN: 193.98 / MAX: 253.41MIN: 201.08 / MAX: 257.321. (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: CPUACb70140210280350SE +/- 0.15, N = 3SE +/- 0.54, N = 3SE +/- 0.62, N = 3334.45336.73335.811. (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: CPUACb612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 323.8423.6823.74MIN: 19.99 / MAX: 58.25MIN: 19.67 / MAX: 58.27MIN: 19.99 / MAX: 481. (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: CPUACb50100150200250SE +/- 1.35, N = 3SE +/- 2.10, N = 6SE +/- 1.90, N = 8216.86216.91216.631. (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: CPUACb510152025SE +/- 0.12, N = 3SE +/- 0.18, N = 6SE +/- 0.16, N = 818.4018.4018.42MIN: 14.61 / MAX: 47.36MIN: 14.74 / MAX: 39.21MIN: 14.07 / MAX: 53.41. (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: CPUACb9001800270036004500SE +/- 7.50, N = 3SE +/- 3.62, N = 3SE +/- 10.48, N = 34388.374402.554408.381. (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: CPUACb0.39830.79661.19491.59321.9915SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.771.771.76MIN: 1.04 / MAX: 23.3MIN: 1.02 / MAX: 22.65MIN: 1.26 / MAX: 23.561. (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: CPUACb2K4K6K8K10KSE +/- 8.43, N = 3SE +/- 40.98, N = 3SE +/- 18.04, N = 38512.518563.928565.581. (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: CPUACb0.2070.4140.6210.8281.035SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.920.920.92MIN: 0.56 / MAX: 35.43MIN: 0.66 / MAX: 25.76MIN: 0.56 / MAX: 26.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

Phoronix Test Suite v10.8.5