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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2208318-PTS-REMBRAND95
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rembrandt openvino and other new - Phoronix Test Suite

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&grw&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 newmnn: 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 - CPUcompress-7zip: Compression Ratingcompress-7zip: Decompression RatingAbC12.1331.9243.49026.8706.7753.1113.02637.2911.462732.031.003986.390.984081.09124.8931.983.361190.38210.2819.00157.7525.3117.91223.30334.4523.84216.8618.404388.371.778512.510.92551255120312.2131.9193.50626.9236.7953.1323.01337.2061.472714.631.013955.070.994016.88127.2831.383.41175.84212.4818.80158.9925.1118.04221.62335.8123.74216.6318.424408.381.768565.580.92553955172712.0621.9203.45026.7156.6873.1013.01236.9361.472727.921.003967.680.994035.11126.2031.653.391180.58210.8418.95158.9725.1118.06221.46336.7323.68216.9118.404402.551.778563.920.925514751406OpenBenchmarking.org

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

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

Phoronix Test Suite v10.8.4