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 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&rdt .
rembrandt openvino and other new Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution A b C AMD Ryzen 7 PRO 6850U @ 4.77GHz (8 Cores / 16 Threads) LENOVO 21CM0001US (R22ET51W 1.21 BIOS) AMD Device 14b5 16GB 512GB Micron MTFDKBA512TFK AMD Radeon 680M 1GB (2200/400MHz) AMD Rembrandt Radeon HD Audio Qualcomm QCNFA765 Ubuntu 22.10 6.0.0-060000rc2daily20220824-generic (x86_64) GNOME Shell 42.4 X Server + Wayland 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48) 1.3.211 GCC 11.3.0 ext4 1920x1200 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler 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 3.10.6 Security 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 new mnn: nasnet mnn: mobilenetV3 mnn: squeezenetv1.1 mnn: resnet-v2-50 mnn: SqueezeNetV1.0 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU compress-7zip: Compression Rating compress-7zip: Decompression Rating A b C 12.133 1.924 3.490 26.870 6.775 3.111 3.026 37.291 1.46 2732.03 1.00 3986.39 0.98 4081.09 124.89 31.98 3.36 1190.38 210.28 19.00 157.75 25.31 17.91 223.30 334.45 23.84 216.86 18.40 4388.37 1.77 8512.51 0.92 55125 51203 12.213 1.919 3.506 26.923 6.795 3.132 3.013 37.206 1.47 2714.63 1.01 3955.07 0.99 4016.88 127.28 31.38 3.4 1175.84 212.48 18.80 158.99 25.11 18.04 221.62 335.81 23.74 216.63 18.42 4408.38 1.76 8565.58 0.92 55395 51727 12.062 1.920 3.450 26.715 6.687 3.101 3.012 36.936 1.47 2727.92 1.00 3967.68 0.99 4035.11 126.20 31.65 3.39 1180.58 210.84 18.95 158.97 25.11 18.06 221.46 336.73 23.68 216.91 18.40 4402.55 1.77 8563.92 0.92 55147 51406 OpenBenchmarking.org
Mobile Neural Network Model: nasnet OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: nasnet A b C 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.15, N = 3 SE +/- 0.02, N = 3 12.13 12.21 12.06 MIN: 11.39 / MAX: 49.71 MIN: 11.26 / MAX: 49.36 MIN: 11.31 / MAX: 47.17 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenetV3 A b C 0.4329 0.8658 1.2987 1.7316 2.1645 SE +/- 0.004, N = 3 SE +/- 0.006, N = 3 SE +/- 0.007, N = 3 1.924 1.919 1.920 MIN: 1.42 / MAX: 5.08 MIN: 1.4 / MAX: 5.13 MIN: 1.43 / MAX: 16.46 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: squeezenetv1.1 A b C 0.7889 1.5778 2.3667 3.1556 3.9445 SE +/- 0.054, N = 3 SE +/- 0.018, N = 3 SE +/- 0.019, N = 3 3.490 3.506 3.450 MIN: 3.13 / MAX: 31.43 MIN: 3.27 / MAX: 39.92 MIN: 3.21 / MAX: 28.58 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: resnet-v2-50 A b C 6 12 18 24 30 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 26.87 26.92 26.72 MIN: 25.67 / MAX: 63.69 MIN: 25.92 / MAX: 63.77 MIN: 25.76 / MAX: 61.62 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: SqueezeNetV1.0 A b C 2 4 6 8 10 SE +/- 0.058, N = 3 SE +/- 0.006, N = 3 SE +/- 0.029, N = 3 6.775 6.795 6.687 MIN: 6.22 / MAX: 43.58 MIN: 6.38 / MAX: 28.99 MIN: 6.21 / MAX: 44.46 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: MobileNetV2_224 A b C 0.7047 1.4094 2.1141 2.8188 3.5235 SE +/- 0.015, N = 3 SE +/- 0.008, N = 3 SE +/- 0.010, N = 3 3.111 3.132 3.101 MIN: 2.89 / MAX: 27.12 MIN: 2.91 / MAX: 27.7 MIN: 2.91 / MAX: 30.52 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 A b C 0.6809 1.3618 2.0427 2.7236 3.4045 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 3.026 3.013 3.012 MIN: 2.78 / MAX: 34.28 MIN: 2.79 / MAX: 25.08 MIN: 2.82 / MAX: 24.85 1. (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.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: inception-v3 A b C 9 18 27 36 45 SE +/- 0.27, N = 3 SE +/- 0.24, N = 3 SE +/- 0.18, N = 3 37.29 37.21 36.94 MIN: 33.89 / MAX: 75.25 MIN: 33.07 / MAX: 73 MIN: 33.35 / MAX: 72.48 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU A b C 0.3308 0.6616 0.9924 1.3232 1.654 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.46 1.47 1.47 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU A b C 600 1200 1800 2400 3000 SE +/- 2.30, N = 3 SE +/- 5.27, N = 3 SE +/- 1.49, N = 3 2732.03 2714.63 2727.92 MIN: 2684.4 / MAX: 2778.78 MIN: 2566.77 / MAX: 2775.21 MIN: 2663.42 / MAX: 2790.34 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU A b C 0.2273 0.4546 0.6819 0.9092 1.1365 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.00 1.01 1.00 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU A b C 900 1800 2700 3600 4500 SE +/- 13.80, N = 3 SE +/- 7.20, N = 3 SE +/- 7.56, N = 3 3986.39 3955.07 3967.68 MIN: 3822.49 / MAX: 4120.21 MIN: 3719.09 / MAX: 4022.86 MIN: 3819.7 / MAX: 4043.72 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU A b C 0.2228 0.4456 0.6684 0.8912 1.114 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.98 0.99 0.99 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU A b C 900 1800 2700 3600 4500 SE +/- 19.30, N = 3 SE +/- 9.52, N = 3 SE +/- 5.19, N = 3 4081.09 4016.88 4035.11 MIN: 3979.02 / MAX: 4229.09 MIN: 3787.09 / MAX: 4109.09 MIN: 3881.64 / MAX: 4169.88 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU A b C 30 60 90 120 150 SE +/- 1.02, N = 3 SE +/- 0.40, N = 3 SE +/- 0.36, N = 3 124.89 127.28 126.20 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU A b C 7 14 21 28 35 SE +/- 0.26, N = 3 SE +/- 0.10, N = 3 SE +/- 0.09, N = 3 31.98 31.38 31.65 MIN: 21.12 / MAX: 72 MIN: 21.56 / MAX: 55.41 MIN: 24.41 / MAX: 57.63 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU A b C 0.765 1.53 2.295 3.06 3.825 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 3.36 3.40 3.39 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU A b C 300 600 900 1200 1500 SE +/- 6.11, N = 3 SE +/- 0.10, N = 3 SE +/- 4.14, N = 3 1190.38 1175.84 1180.58 MIN: 1162.14 / MAX: 1245.69 MIN: 1089.88 / MAX: 1210.5 MIN: 1119.6 / MAX: 1225.76 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU A b C 50 100 150 200 250 SE +/- 0.76, N = 3 SE +/- 1.19, N = 3 SE +/- 0.49, N = 3 210.28 212.48 210.84 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU A b C 5 10 15 20 25 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 19.00 18.80 18.95 MIN: 14.9 / MAX: 54.02 MIN: 14.71 / MAX: 39.05 MIN: 14.87 / MAX: 38.72 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU A b C 40 80 120 160 200 SE +/- 0.01, N = 3 SE +/- 0.36, N = 3 SE +/- 0.22, N = 3 157.75 158.99 158.97 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU A b C 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 25.31 25.11 25.11 MIN: 21.33 / MAX: 40.07 MIN: 21.13 / MAX: 38.32 MIN: 21.37 / MAX: 60.55 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU A b C 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 17.91 18.04 18.06 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU A b C 50 100 150 200 250 SE +/- 0.61, N = 3 SE +/- 0.39, N = 3 SE +/- 0.58, N = 3 223.30 221.62 221.46 MIN: 196.56 / MAX: 244.11 MIN: 201.08 / MAX: 257.32 MIN: 193.98 / MAX: 253.41 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU A b C 70 140 210 280 350 SE +/- 0.15, N = 3 SE +/- 0.62, N = 3 SE +/- 0.54, N = 3 334.45 335.81 336.73 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU A b C 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 23.84 23.74 23.68 MIN: 19.99 / MAX: 58.25 MIN: 19.99 / MAX: 48 MIN: 19.67 / MAX: 58.27 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU A b C 50 100 150 200 250 SE +/- 1.35, N = 3 SE +/- 1.90, N = 8 SE +/- 2.10, N = 6 216.86 216.63 216.91 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU A b C 5 10 15 20 25 SE +/- 0.12, N = 3 SE +/- 0.16, N = 8 SE +/- 0.18, N = 6 18.40 18.42 18.40 MIN: 14.61 / MAX: 47.36 MIN: 14.07 / MAX: 53.4 MIN: 14.74 / MAX: 39.21 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU A b C 900 1800 2700 3600 4500 SE +/- 7.50, N = 3 SE +/- 10.48, N = 3 SE +/- 3.62, N = 3 4388.37 4408.38 4402.55 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU A b C 0.3983 0.7966 1.1949 1.5932 1.9915 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.77 1.76 1.77 MIN: 1.04 / MAX: 23.3 MIN: 1.26 / MAX: 23.56 MIN: 1.02 / MAX: 22.65 1. (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.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU A b C 2K 4K 6K 8K 10K SE +/- 8.43, N = 3 SE +/- 18.04, N = 3 SE +/- 40.98, N = 3 8512.51 8565.58 8563.92 1. (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.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU A b C 0.207 0.414 0.621 0.828 1.035 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.92 0.92 0.92 MIN: 0.56 / MAX: 35.43 MIN: 0.56 / MAX: 26.74 MIN: 0.66 / MAX: 25.76 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating A b C 12K 24K 36K 48K 60K SE +/- 354.18, N = 3 SE +/- 189.74, N = 3 SE +/- 307.96, N = 3 55125 55395 55147 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating A b C 11K 22K 33K 44K 55K SE +/- 786.48, N = 3 SE +/- 815.01, N = 3 SE +/- 890.93, N = 3 51203 51727 51406 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Phoronix Test Suite v10.8.4