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&sor&grr.

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: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3mnn: nasnetopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - 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: Decompression Ratingcompress-7zip: Compression RatingAbC37.2913.0263.1116.77526.8703.4901.92412.13318.40216.863986.391.004081.090.982732.031.461190.383.36223.3017.9125.31157.7519.00210.2831.98124.8923.84334.451.774388.370.928512.51512035512537.2063.0133.1326.79526.9233.5061.91912.21318.42216.633955.071.014016.880.992714.631.471175.843.4221.6218.0425.11158.9918.80212.4831.38127.2823.74335.811.764408.380.928565.58517275539536.9363.0123.1016.68726.7153.4501.92012.06218.40216.913967.681.004035.110.992727.921.471180.583.39221.4618.0625.11158.9718.95210.8431.65126.2023.68336.731.774402.550.928563.925140655147OpenBenchmarking.org

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

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: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224CAb0.70471.40942.11412.81883.5235SE +/- 0.010, N = 3SE +/- 0.015, N = 3SE +/- 0.008, N = 33.1013.1113.132MIN: 2.91 / MAX: 30.52MIN: 2.89 / MAX: 27.12MIN: 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: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0CAb246810SE +/- 0.029, N = 3SE +/- 0.058, N = 3SE +/- 0.006, N = 36.6876.7756.795MIN: 6.21 / MAX: 44.46MIN: 6.22 / MAX: 43.58MIN: 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: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50CAb612182430SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 326.7226.8726.92MIN: 25.76 / MAX: 61.62MIN: 25.67 / MAX: 63.69MIN: 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: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1CAb0.78891.57782.36673.15563.9445SE +/- 0.019, N = 3SE +/- 0.054, N = 3SE +/- 0.018, N = 33.4503.4903.506MIN: 3.21 / MAX: 28.58MIN: 3.13 / MAX: 31.43MIN: 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: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3bCA0.43290.86581.29871.73162.1645SE +/- 0.006, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 31.9191.9201.924MIN: 1.4 / MAX: 5.13MIN: 1.43 / MAX: 16.46MIN: 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: nasnet

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetCAb3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 312.0612.1312.21MIN: 11.31 / MAX: 47.17MIN: 11.39 / MAX: 49.71MIN: 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

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: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUCAb50100150200250SE +/- 2.10, N = 6SE +/- 1.35, N = 3SE +/- 1.90, N = 8216.91216.86216.631. (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: CPUbCA9001800270036004500SE +/- 7.20, N = 3SE +/- 7.56, N = 3SE +/- 13.80, N = 33955.073967.683986.39MIN: 3719.09 / MAX: 4022.86MIN: 3819.7 / MAX: 4043.72MIN: 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 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUbCA0.22730.45460.68190.90921.1365SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.011.001.001. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUbCA9001800270036004500SE +/- 9.52, N = 3SE +/- 5.19, N = 3SE +/- 19.30, N = 34016.884035.114081.09MIN: 3787.09 / MAX: 4109.09MIN: 3881.64 / MAX: 4169.88MIN: 3979.02 / MAX: 4229.091. (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: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUbCA6001200180024003000SE +/- 5.27, N = 3SE +/- 1.49, N = 3SE +/- 2.30, N = 32714.632727.922732.03MIN: 2566.77 / MAX: 2775.21MIN: 2663.42 / MAX: 2790.34MIN: 2684.4 / MAX: 2778.781. (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.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: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUbCA30060090012001500SE +/- 0.10, N = 3SE +/- 4.14, N = 3SE +/- 6.11, N = 31175.841180.581190.38MIN: 1089.88 / MAX: 1210.5MIN: 1119.6 / MAX: 1225.76MIN: 1162.14 / MAX: 1245.691. (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: CPUbCA0.7651.532.2953.063.825SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.403.393.361. (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: 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 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUbCA612182430SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 325.1125.1125.31MIN: 21.13 / MAX: 38.32MIN: 21.37 / MAX: 60.55MIN: 21.33 / MAX: 40.071. (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: CPUbCA4080120160200SE +/- 0.36, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 3158.99158.97157.751. (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: CPUbCA510152025SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 318.8018.9519.00MIN: 14.71 / MAX: 39.05MIN: 14.87 / MAX: 38.72MIN: 14.9 / MAX: 54.021. (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: CPUbCA50100150200250SE +/- 1.19, N = 3SE +/- 0.49, N = 3SE +/- 0.76, N = 3212.48210.84210.281. (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: CPUbCA714212835SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.26, N = 331.3831.6531.98MIN: 21.56 / MAX: 55.41MIN: 24.41 / MAX: 57.63MIN: 21.12 / MAX: 721. (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: CPUbCA306090120150SE +/- 0.40, N = 3SE +/- 0.36, N = 3SE +/- 1.02, N = 3127.28126.20124.891. (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: 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: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUbAC0.39830.79661.19491.59321.9915SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.761.771.77MIN: 1.26 / MAX: 23.56MIN: 1.04 / MAX: 23.3MIN: 1.02 / MAX: 22.651. (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: CPUbCA9001800270036004500SE +/- 10.48, N = 3SE +/- 3.62, N = 3SE +/- 7.50, N = 34408.384402.554388.371. (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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUAbC0.2070.4140.6210.8281.035SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.920.920.92MIN: 0.56 / MAX: 35.43MIN: 0.56 / MAX: 26.74MIN: 0.66 / MAX: 25.761. (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: CPUbCA2K4K6K8K10KSE +/- 18.04, N = 3SE +/- 40.98, N = 3SE +/- 8.43, N = 38565.588563.928512.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingbCA11K22K33K44K55KSE +/- 815.01, N = 3SE +/- 890.93, N = 3SE +/- 786.48, N = 35172751406512031. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingbCA12K24K36K48K60KSE +/- 189.74, N = 3SE +/- 307.96, N = 3SE +/- 354.18, N = 35539555147551251. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Phoronix Test Suite v10.8.5