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 2209043-PTS-SSS1157922 sss - Phoronix Test Suite sss 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/2209043-PTS-SSS1157922&gru .
sss Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution A B C D AMD Ryzen 7 PRO 6850U @ 2.70GHz (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: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa404102 - ACPI Profile: balanced Graphics Details - BAR1 / Visible vRAM Size: 1024 MB - vBIOS Version: 113-REMBRANDT-036 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
sss openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU natron: Spaceship gravitymark: 1600 x 1200 - Vulkan gravitymark: 1920 x 1080 - Vulkan gravitymark: 1920 x 1200 - Vulkan compress-7zip: Compression Rating compress-7zip: Decompression Rating 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: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU build-nodejs: Time To Compile build-php: Time To Compile build-python: Default build-python: Released Build, PGO + LTO Optimized build-erlang: Time To Compile build-wasmer: Time To Compile A B C D 1.45 0.99 0.97 124.43 3.35 209.35 157.97 17.94 333.97 215.16 4352.27 8485.15 2.1 34.7 31.3 30.9 52136 46295 12.108 1.947 3.549 27.371 6.817 3.150 3.087 37.789 2763.26 4034.77 4116.85 32.10 1193.54 19.08 25.27 222.80 23.88 18.55 1.79 0.93 967.884 87.014 22.971 278.432 119.120 94.164 1.43 0.99 0.98 125.33 3.35 212.74 158.5 18.01 336.33 213.75 4453.44 8596.39 2.2 36.4 31.9 30.8 51004 45028 12.515 1.991 3.665 27.806 7.187 3.294 3.169 38.919 2787.01 4019.29 4073.57 31.87 1192.2 18.78 25.18 222.02 23.71 18.66 1.74 0.91 1001.852 90.515 23.955 286.475 125.359 97.356 1.46 1.01 0.99 127.4 3.38 213.68 159.06 18.07 336.84 214.3 4427.36 8614.09 2.2 36.1 31.7 31.2 51734 46216 11.93 1.932 3.475 26.982 6.706 3.102 3.031 37.204 2727.69 3971.69 4021.72 31.36 1183.4 18.7 25.1 221.33 23.67 18.62 1.76 0.91 972.308 88.427 23.285 279.949 119.427 94.022 1.49 1.01 1 128.19 3.43 214.22 160.26 18.11 339.75 223.22 4456.77 8651.5 2.1 36.5 32.5 31.9 53201 47987 11.916 1.934 3.448 26.765 6.639 3.065 3.005 36.936 2689.39 3938.8 3993.78 31.16 1166.07 18.65 24.92 220.85 23.47 17.87 1.74 0.91 944.058 87.089 22.697 277.961 119.39 93.043 OpenBenchmarking.org
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 D 0.3353 0.6706 1.0059 1.3412 1.6765 SE +/- 0.01, N = 3 1.45 1.43 1.46 1.49 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 D 0.2273 0.4546 0.6819 0.9092 1.1365 SE +/- 0.01, N = 3 0.99 0.99 1.01 1.01 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 D 0.225 0.45 0.675 0.9 1.125 SE +/- 0.01, N = 3 0.97 0.98 0.99 1.00 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 D 30 60 90 120 150 SE +/- 0.99, N = 3 124.43 125.33 127.40 128.19 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 D 0.7718 1.5436 2.3154 3.0872 3.859 SE +/- 0.02, N = 3 3.35 3.35 3.38 3.43 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 D 50 100 150 200 250 SE +/- 1.09, N = 3 209.35 212.74 213.68 214.22 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 D 40 80 120 160 200 SE +/- 0.07, N = 3 157.97 158.50 159.06 160.26 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 D 4 8 12 16 20 SE +/- 0.06, N = 3 17.94 18.01 18.07 18.11 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 D 70 140 210 280 350 SE +/- 0.14, N = 3 333.97 336.33 336.84 339.75 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 D 50 100 150 200 250 SE +/- 2.06, N = 3 215.16 213.75 214.30 223.22 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 D 1000 2000 3000 4000 5000 SE +/- 16.24, N = 3 4352.27 4453.44 4427.36 4456.77 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 D 2K 4K 6K 8K 10K SE +/- 11.11, N = 3 8485.15 8596.39 8614.09 8651.50 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
Natron Input: Spaceship OpenBenchmarking.org FPS, More Is Better Natron 2.4.3 Input: Spaceship A B C D 0.495 0.99 1.485 1.98 2.475 SE +/- 0.02, N = 15 2.1 2.2 2.2 2.1
GravityMark Resolution: 1600 x 1200 - Renderer: Vulkan OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.70 Resolution: 1600 x 1200 - Renderer: Vulkan A B C D 8 16 24 32 40 SE +/- 0.35, N = 12 34.7 36.4 36.1 36.5
GravityMark Resolution: 1920 x 1080 - Renderer: Vulkan OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.70 Resolution: 1920 x 1080 - Renderer: Vulkan A B C D 8 16 24 32 40 SE +/- 0.39, N = 12 31.3 31.9 31.7 32.5
GravityMark Resolution: 1920 x 1200 - Renderer: Vulkan OpenBenchmarking.org Frames Per Second, More Is Better GravityMark 1.70 Resolution: 1920 x 1200 - Renderer: Vulkan A B C D 7 14 21 28 35 SE +/- 0.48, N = 12 30.9 30.8 31.2 31.9
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating A B C D 11K 22K 33K 44K 55K SE +/- 535.31, N = 3 52136 51004 51734 53201 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 D 10K 20K 30K 40K 50K SE +/- 546.49, N = 3 46295 45028 46216 47987 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Mobile Neural Network Model: nasnet OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: nasnet A B C D 3 6 9 12 15 SE +/- 0.08, N = 3 12.11 12.52 11.93 11.92 MIN: 11.25 / MAX: 37.76 MIN: 11.65 / MAX: 33.39 MIN: 11.3 / MAX: 35.49 MIN: 11.14 / MAX: 46.26 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 D 0.448 0.896 1.344 1.792 2.24 SE +/- 0.017, N = 3 1.947 1.991 1.932 1.934 MIN: 1.46 / MAX: 9.36 MIN: 1.49 / MAX: 29.21 MIN: 1.44 / MAX: 5.29 MIN: 1.45 / MAX: 29.47 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 D 0.8246 1.6492 2.4738 3.2984 4.123 SE +/- 0.041, N = 3 3.549 3.665 3.475 3.448 MIN: 3.22 / MAX: 39.32 MIN: 3.47 / MAX: 6.72 MIN: 3.25 / MAX: 21.32 MIN: 3.24 / MAX: 5.87 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 D 7 14 21 28 35 SE +/- 0.08, N = 3 27.37 27.81 26.98 26.77 MIN: 26.24 / MAX: 60.95 MIN: 27.21 / MAX: 65.51 MIN: 25.95 / MAX: 63.76 MIN: 25.72 / MAX: 63.42 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 D 2 4 6 8 10 SE +/- 0.047, N = 3 6.817 7.187 6.706 6.639 MIN: 6.34 / MAX: 28.23 MIN: 6.73 / MAX: 20.9 MIN: 6.44 / MAX: 21.48 MIN: 6.44 / MAX: 21.58 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: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: MobileNetV2_224 A B C D 0.7412 1.4824 2.2236 2.9648 3.706 SE +/- 0.029, N = 3 3.150 3.294 3.102 3.065 MIN: 2.91 / MAX: 24.05 MIN: 3.04 / MAX: 27.62 MIN: 2.93 / MAX: 5.16 MIN: 2.88 / MAX: 25.47 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 D 0.713 1.426 2.139 2.852 3.565 SE +/- 0.016, N = 3 3.087 3.169 3.031 3.005 MIN: 2.81 / MAX: 38.72 MIN: 2.95 / MAX: 22.31 MIN: 2.9 / MAX: 6.01 MIN: 2.9 / MAX: 4.97 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 D 9 18 27 36 45 SE +/- 0.17, N = 3 37.79 38.92 37.20 36.94 MIN: 34.24 / MAX: 60.02 MIN: 35.21 / MAX: 77.56 MIN: 33.98 / MAX: 53.35 MIN: 32.13 / MAX: 64.34 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 ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU A B C D 600 1200 1800 2400 3000 SE +/- 10.85, N = 3 2763.26 2787.01 2727.69 2689.39 MIN: 2669.76 / MAX: 2974.94 MIN: 2750.38 / MAX: 2877.54 MIN: 2666.59 / MAX: 2776.18 MIN: 2436.41 / MAX: 2771.4 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 D 900 1800 2700 3600 4500 SE +/- 25.52, N = 3 4034.77 4019.29 3971.69 3938.80 MIN: 3895.05 / MAX: 4148.68 MIN: 3918.62 / MAX: 4147.49 MIN: 3875.19 / MAX: 4054.68 MIN: 3526.61 / MAX: 4036.62 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 D 900 1800 2700 3600 4500 SE +/- 23.80, N = 3 4116.85 4073.57 4021.72 3993.78 MIN: 3926.57 / MAX: 4253.63 MIN: 3959.5 / MAX: 4185.81 MIN: 3906.86 / MAX: 4117.13 MIN: 3622.46 / MAX: 4091.07 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 D 7 14 21 28 35 SE +/- 0.25, N = 3 32.10 31.87 31.36 31.16 MIN: 23.64 / MAX: 69.32 MIN: 25.27 / MAX: 48.66 MIN: 25.19 / MAX: 63.83 MIN: 24.68 / MAX: 41.54 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 D 300 600 900 1200 1500 SE +/- 7.77, N = 3 1193.54 1192.20 1183.40 1166.07 MIN: 1159.03 / MAX: 1257.99 MIN: 1166.44 / MAX: 1219.77 MIN: 1146.34 / MAX: 1215.09 MIN: 1035.16 / MAX: 1207.11 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 D 5 10 15 20 25 SE +/- 0.10, N = 3 19.08 18.78 18.70 18.65 MIN: 14.67 / MAX: 35.56 MIN: 14.86 / MAX: 33.68 MIN: 14.75 / MAX: 35.98 MIN: 14.54 / MAX: 54.42 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 D 6 12 18 24 30 SE +/- 0.01, N = 3 25.27 25.18 25.10 24.92 MIN: 21.35 / MAX: 37.58 MIN: 21.49 / MAX: 32.5 MIN: 21.57 / MAX: 38.67 MIN: 21.33 / MAX: 60.1 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 D 50 100 150 200 250 SE +/- 0.85, N = 3 222.80 222.02 221.33 220.85 MIN: 196.27 / MAX: 235.13 MIN: 197.4 / MAX: 230.7 MIN: 197.53 / MAX: 235.19 MIN: 196.79 / MAX: 237.17 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 D 6 12 18 24 30 SE +/- 0.01, N = 3 23.88 23.71 23.67 23.47 MIN: 20.2 / MAX: 58.07 MIN: 20.05 / MAX: 59.28 MIN: 20.64 / MAX: 58.43 MIN: 20.44 / MAX: 35.44 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 D 5 10 15 20 25 SE +/- 0.17, N = 3 18.55 18.66 18.62 17.87 MIN: 15.25 / MAX: 54.65 MIN: 15.12 / MAX: 53.89 MIN: 15.32 / MAX: 34.16 MIN: 15.02 / MAX: 54.62 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 D 0.4028 0.8056 1.2084 1.6112 2.014 SE +/- 0.01, N = 3 1.79 1.74 1.76 1.74 MIN: 1.14 / MAX: 19.55 MIN: 1.14 / MAX: 19.03 MIN: 1.27 / MAX: 17.34 MIN: 1.27 / MAX: 12.19 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 D 0.2093 0.4186 0.6279 0.8372 1.0465 SE +/- 0.00, N = 3 0.93 0.91 0.91 0.91 MIN: 0.55 / MAX: 23.89 MIN: 0.55 / MAX: 21.09 MIN: 0.68 / MAX: 25.89 MIN: 0.59 / MAX: 34.87 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 18.8 Time To Compile A B C D 200 400 600 800 1000 SE +/- 0.44, N = 3 967.88 1001.85 972.31 944.06
Timed PHP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 8.1.9 Time To Compile A B C D 20 40 60 80 100 SE +/- 0.20, N = 3 87.01 90.52 88.43 87.09
Timed CPython Compilation Build Configuration: Default OpenBenchmarking.org Seconds, Fewer Is Better Timed CPython Compilation 3.10.6 Build Configuration: Default A B C D 6 12 18 24 30 22.97 23.96 23.29 22.70
Timed CPython Compilation Build Configuration: Released Build, PGO + LTO Optimized OpenBenchmarking.org Seconds, Fewer Is Better Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized A B C D 60 120 180 240 300 278.43 286.48 279.95 277.96
Timed Erlang/OTP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Erlang/OTP Compilation 25.0 Time To Compile A B C D 30 60 90 120 150 SE +/- 0.28, N = 3 119.12 125.36 119.43 119.39
Timed Wasmer Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Wasmer Compilation 2.3 Time To Compile A B C D 20 40 60 80 100 SE +/- 0.39, N = 3 94.16 97.36 94.02 93.04 1. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
Phoronix Test Suite v10.8.4