Intel Core i5-12400 testing with a MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS) and MSI Intel ADL-S GT1 14GB on Ubuntu 22.04 via the Phoronix Test Suite.
A Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
B C Processor: Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads), Motherboard: MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: Western Digital WD_BLACK SN750 SE 500GB, Graphics: MSI Intel ADL-S GT1 14GB (1450MHz), Audio: Realtek ALC897, Monitor: DELL S2409W, Network: Intel I225-V + Intel Device 7af0
OS: Ubuntu 22.04, Kernel: 5.15.0-40-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
12400 nnn OpenBenchmarking.org Phoronix Test Suite Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads) MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS) Intel Device 7aa7 16GB Western Digital WD_BLACK SN750 SE 500GB MSI Intel ADL-S GT1 14GB (1450MHz) Realtek ALC897 DELL S2409W Intel I225-V + Intel Device 7af0 Ubuntu 22.04 5.15.0-40-generic (x86_64) GNOME Shell 42.2 X Server + Wayland 4.6 Mesa 22.0.1 1.2.204 GCC 11.2.0 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution 12400 Nnn Benchmarks System Logs - Transparent Huge Pages: madvise - --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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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 - NONE / errors=remount-ro,relatime,rw / Block Size: 4096 - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9 - Python 3.10.4 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
A B C Result Overview Phoronix Test Suite 100% 101% 103% 104% 105% Apache CouchDB Aircrack-ng FLAC Audio Encoding WebP2 Image Encode Natron memtier_benchmark Timed Wasmer Compilation OpenVINO SVT-AV1 ClickHouse C-Blosc GraphicsMagick Redis Facebook RocksDB WebP Image Encode LAMMPS Molecular Dynamics Simulator Unpacking The Linux Kernel Timed PHP Compilation Mobile Neural Network Inkscape Timed Erlang/OTP Compilation Timed CPython Compilation srsRAN Dragonflydb 7-Zip Compression NCNN Blender BRL-CAD Unvanquished Primesieve ASTC Encoder Timed Node.js Compilation
12400 nnn srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAM srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM 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 unvanquished: 1920 x 1080 - High unvanquished: 1920 x 1080 - Ultra unvanquished: 1920 x 1080 - Medium svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 10 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 10 - Bosphorus 1080p svt-av1: Preset 12 - Bosphorus 1080p graphics-magick: Swirl graphics-magick: Rotate graphics-magick: Sharpen graphics-magick: Enhanced graphics-magick: Resizing graphics-magick: Noise-Gaussian graphics-magick: HWB Color Space aircrack-ng: blosc: blosclz shuffle blosc: blosclz bitshuffle compress-7zip: Compression Rating compress-7zip: Decompression Rating webp: Default webp: Quality 100 webp: Quality 100, Lossless webp: Quality 100, Highest Compression webp: Quality 100, Lossless, Highest Compression webp2: Default webp2: Quality 75, Compression Effort 7 webp2: Quality 95, Compression Effort 7 webp2: Quality 100, Compression Effort 5 webp2: Quality 100, Lossless Compression astcenc: Fast astcenc: Medium astcenc: Thorough astcenc: Exhaustive lammps: 20k Atoms lammps: Rhodopsin Protein rocksdb: Rand Fill rocksdb: Rand Read rocksdb: Update Rand rocksdb: Seq Fill rocksdb: Rand Fill Sync rocksdb: Read While Writing rocksdb: Read Rand Write Rand dragonflydb: 50 - 1:1 dragonflydb: 50 - 1:5 dragonflydb: 50 - 5:1 dragonflydb: 200 - 1:1 dragonflydb: 200 - 1:5 dragonflydb: 200 - 5:1 memtier-benchmark: Redis - 50 - 1:1 memtier-benchmark: Redis - 50 - 1:5 memtier-benchmark: Redis - 50 - 5:1 memtier-benchmark: Redis - 100 - 1:1 memtier-benchmark: Redis - 100 - 1:5 memtier-benchmark: Redis - 100 - 5:1 memtier-benchmark: Redis - 50 - 1:10 memtier-benchmark: Redis - 500 - 1:1 memtier-benchmark: Redis - 500 - 1:5 memtier-benchmark: Redis - 500 - 5:1 memtier-benchmark: Redis - 100 - 1:10 memtier-benchmark: Redis - 500 - 1:10 clickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cache clickhouse: 100M Rows Web Analytics Dataset, Second Run clickhouse: 100M Rows Web Analytics Dataset, Third Run redis: GET - 50 redis: SET - 50 redis: GET - 500 redis: SET - 500 redis: GET - 1000 redis: SET - 1000 srsran: OFDM_Test srsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 64-QAM srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAM srsran: 4G PHY_DL_Test 100 PRB SISO 256-QAM srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM brl-cad: VGR Performance Metric 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 ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: CPU - squeezenet_ssd ncnn: CPU - regnety_400m ncnn: CPU - vision_transformer ncnn: CPU - FastestDet ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - squeezenet_ssd ncnn: Vulkan GPU - regnety_400m ncnn: Vulkan GPU - vision_transformer ncnn: Vulkan GPU - FastestDet 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 unpack-linux: linux-5.19.tar.xz build-nodejs: Time To Compile build-php: Time To Compile build-python: Default build-python: Released Build, PGO + LTO Optimized primesieve: 1e12 primesieve: 1e13 build-erlang: Time To Compile build-wasmer: Time To Compile encode-flac: WAV To FLAC couchdb: 100 - 1000 - 30 couchdb: 100 - 3000 - 30 couchdb: 300 - 1000 - 30 couchdb: 300 - 3000 - 30 inkscape: SVG Files To PNG blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only A B C 441.8 448.4 494.5 500 156.1 1.54 1.16 1.12 143.69 7.13 332.45 186.97 21.63 712.15 274.91 5191.97 12248.29 2.5 205.8 108.9 253.4 1.517 28.3 59.624 86.724 5.259 86.348 192.229 334.028 389 924 107 169 796 217 900 23816.457 14819.2 8710.1 53070 39968 17.80 11.48 1.61 3.57 0.63 5.83 0.10 0.05 2.91 0.01 118.614 46.418 6.1356 0.5585 6.345 6.525 841127 46480389 669994 1410830 3134 1561035 1569980 3291442.71 3540006.65 3234764.7 2893948.93 3069817.74 2780403.66 2556576.02 2533010.01 2216344.47 2190464.39 2371007.82 2078165.77 2394979.44 2471856.79 2379834 2147254.39 2361490.32 2550490.86 111.96 130.37 126.64 4043025.5 3061154.5 3896578.5 3057410.75 3450479.25 3036378.5 146700000 127.1 160.2 144.8 176.4 73.3 118824 8.802 1.043 2.358 21.752 3.74 2.195 3.065 25.743 12.24 3.14 2.57 2.73 2.54 5.41 0.82 10.31 51.2 9.97 8.1 18.73 21.55 15.08 7.66 200.29 3.32 640.1 198.49 167.56 106.33 205.01 293.29 49.09 545.67 2831.92 514.12 537.52 1362.23 898.18 492.08 266.42 7493.77 97.27 2579.07 3440.07 3480.06 27.82 560.65 12.02 32.07 184.63 8.41 14.54 1.14 0.49 7.005 763.056 69.99 19.883 245.384 28.664 342.255 110.923 71.499 16.061 90.286 279.666 195.555 1077.45 21.07 172.85 478.06 242.6 1939.29 603.24 446 451.8 492.9 494.4 158.5 1.54 1.13 1.14 118.42 7.21 323.11 186.71 21.23 710.39 275.05 5190.8 12208.42 2.6 206.7 108.9 253.2 1.517 30.993 61.623 87.536 5.213 86.895 192.991 338.081 376 989 101 174 822 219 944 22726.613 14987.7 8863.5 52989 40510 17.83 11.48 1.60 3.56 0.61 5.82 0.09 0.05 2.84 0.01 118.6105 46.4256 6.1364 0.5581 6.444 6.557 857849 46884294 661339 1455436 3091 1528756 1576451 3292038.33 3504814.41 3180042.72 2956169.14 3063805 2785310.85 2182172.4 2437654.47 2191068.09 1906142.21 2290690.91 2053903.96 2448790.7 2260720.03 2388167.67 2291531.98 2323372.49 2652882.35 111.76 125.64 129.40 3893544.25 3047720 3902966 3090099.25 3515495.75 3075085.75 153000000 127.6 160.3 145.1 176.7 73.3 118454 8.89 1.037 2.366 21.517 3.763 2.197 3.044 25.756 12.21 3.2 2.6 2.79 2.59 5.49 0.83 10.46 51.02 10.32 8.08 18.71 21.48 15.02 7.79 200.59 3.32 639.19 198.31 167.14 106.46 205.14 292.26 48.74 545.92 2841.52 515.34 537.72 1366.64 903.06 495.99 266.93 7491.53 97.43 2566.17 3450.77 3484.58 33.75 554.46 12.37 32.11 188.14 8.43 14.53 1.14 0.49 6.933 762.626 70.659 19.709 246.62 28.625 342.685 111.604 70.764 16.805 89.184 281.696 168.263 1324.698 21.123 171.31 476.21 241.4 1936.18 604.1 447.3 449.3 491.3 499.9 157.6 1.55 1.16 1.14 134.98 7.18 329.51 186.67 21.55 712.78 274.67 5224.02 12274.19 2.6 206.2 109.1 253.5 1.521 30.921 62.08 87.625 5.249 85.996 191.451 335.935 382 990 101 172 806 219 941 23834.895 14905.8 8812.3 53168 40328 17.82 11.49 1.61 3.56 0.64 5.85 0.10 0.04 2.93 0.01 118.6404 46.4237 6.136 0.5579 6.443 6.564 872567 47409319 632275 1513059 3118 1583316 1577027 3356477.98 3496653.75 3177766.6 2768715.57 3098427.56 2807087.71 2256323.36 2383162.78 2152632.21 2207607.06 2309526.13 1789262.36 2521142.28 2291270.04 2590307.9 2179047.93 2380367.36 2437392.24 112.78 128.47 131.32 3923159.5 3088000 3894757.25 3081719.25 3218151.75 3070176.75 152200000 127.4 160.5 145.1 176.9 73.3 118684 8.957 1.047 2.377 21.735 3.796 2.211 3.065 25.864 12.3 3.17 2.64 2.76 2.58 5.45 0.83 10.41 51.25 10.34 8.1 18.75 21.33 15.15 7.79 200.92 3.34 642.89 198.5 167.03 106.47 204.35 292.89 48.81 543.95 2863.52 516.93 536.66 1367.26 906.5 497.79 267.27 7496.91 96.87 2557.91 3412.02 3483.55 29.61 556.5 12.13 32.13 185.45 8.4 14.55 1.13 0.49 6.976 764.183 70.16 19.801 248.575 28.594 343.387 111.057 72.283 16.137 89.697 281.5 172.755 20.973 172.27 477.49 241.68 1937.31 601.99 OpenBenchmarking.org
srsRAN srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM C B A 100 200 300 400 500 447.3 446.0 441.8 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM B C A 100 200 300 400 500 451.8 449.3 448.4 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM A B C 110 220 330 440 550 494.5 492.9 491.3 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM A C B 110 220 330 440 550 500.0 499.9 494.4 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org eNb Mb/s, More Is Better srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM B C A 40 80 120 160 200 158.5 157.6 156.1 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU C B A 0.3488 0.6976 1.0464 1.3952 1.744 1.55 1.54 1.54 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU C A B 0.261 0.522 0.783 1.044 1.305 1.16 1.16 1.13 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU C B A 0.2565 0.513 0.7695 1.026 1.2825 1.14 1.14 1.12 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU A C B 30 60 90 120 150 143.69 134.98 118.42 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU B C A 2 4 6 8 10 7.21 7.18 7.13 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU A C B 70 140 210 280 350 332.45 329.51 323.11 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU A B C 40 80 120 160 200 186.97 186.71 186.67 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU A C B 5 10 15 20 25 21.63 21.55 21.23 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU C A B 150 300 450 600 750 712.78 712.15 710.39 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU B A C 60 120 180 240 300 275.05 274.91 274.67 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU C A B 1100 2200 3300 4400 5500 5224.02 5191.97 5190.80 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU C A B 3K 6K 9K 12K 15K 12274.19 12248.29 12208.42 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
Unvanquished Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 (id Tech 3) engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source, cross-platform shooter game. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: High B C A 50 100 150 200 250 206.7 206.2 205.8
SVT-AV1 OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K C B A 0.3422 0.6844 1.0266 1.3688 1.711 1.521 1.517 1.517 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K B C A 7 14 21 28 35 30.99 30.92 28.30 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K C B A 14 28 42 56 70 62.08 61.62 59.62 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K C B A 20 40 60 80 100 87.63 87.54 86.72 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p A C B 1.1833 2.3666 3.5499 4.7332 5.9165 5.259 5.249 5.213 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p B A C 20 40 60 80 100 86.90 86.35 86.00 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p B A C 40 80 120 160 200 192.99 192.23 191.45 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p B C A 70 140 210 280 350 338.08 335.94 334.03 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Rotate C B A 200 400 600 800 1000 990 989 924 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Sharpen A C B 20 40 60 80 100 107 101 101 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Enhanced B C A 40 80 120 160 200 174 172 169 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Resizing B C A 200 400 600 800 1000 822 806 796 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Noise-Gaussian C B A 50 100 150 200 250 219 219 217 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: HWB Color Space B C A 200 400 600 800 1000 944 941 900 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
WebP2 Image Encode This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Default C A B 1.3163 2.6326 3.9489 5.2652 6.5815 5.85 5.83 5.82 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
Facebook RocksDB OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 7.5.3 Test: Random Fill C B A 200K 400K 600K 800K 1000K 872567 857849 841127 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 7.5.3 Test: Update Random A B C 140K 280K 420K 560K 700K 669994 661339 632275 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 7.5.3 Test: Sequential Fill C B A 300K 600K 900K 1200K 1500K 1513059 1455436 1410830 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 7.5.3 Test: Read While Writing C A B 300K 600K 900K 1200K 1500K 1583316 1561035 1528756 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.org Op/s, More Is Better Facebook RocksDB 7.5.3 Test: Read Random Write Random C B A 300K 600K 900K 1200K 1500K 1577027 1576451 1569980 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Dragonflydb Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ops/sec, More Is Better Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:1 C B A 700K 1400K 2100K 2800K 3500K 3356477.98 3292038.33 3291442.71 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:5 A B C 800K 1600K 2400K 3200K 4000K 3540006.65 3504814.41 3496653.75 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 5:1 A B C 700K 1400K 2100K 2800K 3500K 3234764.70 3180042.72 3177766.60 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:1 B A C 600K 1200K 1800K 2400K 3000K 2956169.14 2893948.93 2768715.57 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:5 C A B 700K 1400K 2100K 2800K 3500K 3098427.56 3069817.74 3063805.00 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 5:1 C B A 600K 1200K 1800K 2400K 3000K 2807087.71 2785310.85 2780403.66 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 A B C 500K 1000K 1500K 2000K 2500K 2533010.01 2437654.47 2383162.78 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 A B C 500K 1000K 1500K 2000K 2500K 2216344.47 2191068.09 2152632.21 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 C A B 500K 1000K 1500K 2000K 2500K 2207607.06 2190464.39 1906142.21 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 A C B 500K 1000K 1500K 2000K 2500K 2371007.82 2309526.13 2290690.91 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 A B C 400K 800K 1200K 1600K 2000K 2078165.77 2053903.96 1789262.36 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 C B A 500K 1000K 1500K 2000K 2500K 2521142.28 2448790.70 2394979.44 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1 A C B 500K 1000K 1500K 2000K 2500K 2471856.79 2291270.04 2260720.03 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 C B A 600K 1200K 1800K 2400K 3000K 2590307.90 2388167.67 2379834.00 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 B C A 500K 1000K 1500K 2000K 2500K 2291531.98 2179047.93 2147254.39 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 C A B 500K 1000K 1500K 2000K 2500K 2380367.36 2361490.32 2323372.49 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.org Ops/sec, More Is Better memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 B A C 600K 1200K 1800K 2400K 3000K 2652882.35 2550490.86 2437392.24 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
ClickHouse ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all queries performed. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache C A B 30 60 90 120 150 112.78 111.96 111.76 MIN: 6.92 / MAX: 15000 MIN: 7 / MAX: 12000 MIN: 5.72 / MAX: 10000 1. ClickHouse server version 22.5.4.19 (official build).
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run A C B 30 60 90 120 150 130.37 128.47 125.64 MIN: 8.15 / MAX: 20000 MIN: 7.82 / MAX: 15000 MIN: 8.76 / MAX: 8571.43 1. ClickHouse server version 22.5.4.19 (official build).
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run C B A 30 60 90 120 150 131.32 129.40 126.64 MIN: 5.96 / MAX: 30000 MIN: 8.55 / MAX: 20000 MIN: 8.39 / MAX: 20000 1. ClickHouse server version 22.5.4.19 (official build).
OpenBenchmarking.org Requests Per Second, More Is Better Redis 7.0.4 Test: SET - Parallel Connections: 50 C A B 700K 1400K 2100K 2800K 3500K 3088000.0 3061154.5 3047720.0 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 7.0.4 Test: GET - Parallel Connections: 500 B A C 800K 1600K 2400K 3200K 4000K 3902966.00 3896578.50 3894757.25 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 7.0.4 Test: SET - Parallel Connections: 500 B C A 700K 1400K 2100K 2800K 3500K 3090099.25 3081719.25 3057410.75 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 7.0.4 Test: GET - Parallel Connections: 1000 B A C 800K 1600K 2400K 3200K 4000K 3515495.75 3450479.25 3218151.75 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.org Requests Per Second, More Is Better Redis 7.0.4 Test: SET - Parallel Connections: 1000 B C A 700K 1400K 2100K 2800K 3500K 3075085.75 3070176.75 3036378.50 1. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
srsRAN srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Samples / Second, More Is Better srsRAN 22.04.1 Test: OFDM_Test B C A 30M 60M 90M 120M 150M 153000000 152200000 146700000 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM B C A 30 60 90 120 150 127.6 127.4 127.1 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM C B A 40 80 120 160 200 160.5 160.3 160.2 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM C B A 30 60 90 120 150 145.1 145.1 144.8 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM C B A 40 80 120 160 200 176.9 176.7 176.4 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.org UE Mb/s, More Is Better srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM C B A 16 32 48 64 80 73.3 73.3 73.3 1. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
BRL-CAD BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.32.6 VGR Performance Metric A C B 30K 60K 90K 120K 150K 118824 118684 118454 1. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: nasnet A B C 3 6 9 12 15 8.802 8.890 8.957 MIN: 8.73 / MAX: 16.46 MIN: 8.82 / MAX: 10.27 MIN: 8.89 / MAX: 9.69 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenetV3 B A C 0.2356 0.4712 0.7068 0.9424 1.178 1.037 1.043 1.047 MIN: 1.02 / MAX: 1.89 MIN: 1.03 / MAX: 1.85 MIN: 1.03 / MAX: 1.85 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: squeezenetv1.1 A B C 0.5348 1.0696 1.6044 2.1392 2.674 2.358 2.366 2.377 MIN: 2.31 / MAX: 2.57 MIN: 2.31 / MAX: 2.55 MIN: 2.32 / MAX: 2.67 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: resnet-v2-50 B C A 5 10 15 20 25 21.52 21.74 21.75 MIN: 21.2 / MAX: 29.16 MIN: 21.36 / MAX: 28.59 MIN: 21.38 / MAX: 22.91 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: SqueezeNetV1.0 A B C 0.8541 1.7082 2.5623 3.4164 4.2705 3.740 3.763 3.796 MIN: 3.67 / MAX: 4.03 MIN: 3.68 / MAX: 3.98 MIN: 3.73 / MAX: 4.39 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: MobileNetV2_224 A B C 0.4975 0.995 1.4925 1.99 2.4875 2.195 2.197 2.211 MIN: 2.04 / MAX: 2.46 MIN: 2.04 / MAX: 4.54 MIN: 2.05 / MAX: 9.77 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 B A C 0.6896 1.3792 2.0688 2.7584 3.448 3.044 3.065 3.065 MIN: 2.83 / MAX: 3.61 MIN: 2.85 / MAX: 3.31 MIN: 2.84 / MAX: 3.32 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: inception-v3 A B C 6 12 18 24 30 25.74 25.76 25.86 MIN: 24.6 / MAX: 32.94 MIN: 25.05 / MAX: 33.17 MIN: 25.64 / MAX: 33.03 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
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 A C B 0.72 1.44 2.16 2.88 3.6 3.14 3.17 3.20 MIN: 3.08 / MAX: 4.08 MIN: 3.11 / MAX: 4.22 MIN: 3.13 / MAX: 4.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 A B C 0.594 1.188 1.782 2.376 2.97 2.57 2.60 2.64 MIN: 2.52 / MAX: 3.39 MIN: 2.56 / MAX: 3.62 MIN: 2.57 / MAX: 3.63 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 A C B 0.6278 1.2556 1.8834 2.5112 3.139 2.73 2.76 2.79 MIN: 2.7 / MAX: 3.57 MIN: 2.73 / MAX: 4 MIN: 2.75 / MAX: 3.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mnasnet A C B 0.5828 1.1656 1.7484 2.3312 2.914 2.54 2.58 2.59 MIN: 2.5 / MAX: 3.47 MIN: 2.54 / MAX: 3.53 MIN: 2.55 / MAX: 3.59 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 A C B 1.2353 2.4706 3.7059 4.9412 6.1765 5.41 5.45 5.49 MIN: 5.34 / MAX: 6.81 MIN: 5.38 / MAX: 6.62 MIN: 5.41 / MAX: 6.75 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface A B C 0.1868 0.3736 0.5604 0.7472 0.934 0.82 0.83 0.83 MIN: 0.8 / MAX: 1.6 MIN: 0.82 / MAX: 1.01 MIN: 0.81 / MAX: 1.04 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet A C B 3 6 9 12 15 10.31 10.41 10.46 MIN: 10.15 / MAX: 17.15 MIN: 10.29 / MAX: 12.25 MIN: 10.34 / MAX: 11.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 B A C 12 24 36 48 60 51.02 51.20 51.25 MIN: 50.73 / MAX: 52.84 MIN: 50.92 / MAX: 52.86 MIN: 51 / MAX: 52.91 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 A B C 3 6 9 12 15 9.97 10.32 10.34 MIN: 9.85 / MAX: 11.26 MIN: 10.18 / MAX: 11.88 MIN: 10.22 / MAX: 11.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet B A C 2 4 6 8 10 8.08 8.10 8.10 MIN: 8.01 / MAX: 9.15 MIN: 8 / MAX: 9.18 MIN: 8.01 / MAX: 9.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 B A C 5 10 15 20 25 18.71 18.73 18.75 MIN: 18.55 / MAX: 20.43 MIN: 18.54 / MAX: 20.36 MIN: 18.58 / MAX: 25.94 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny C B A 5 10 15 20 25 21.33 21.48 21.55 MIN: 21.15 / MAX: 21.69 MIN: 21.23 / MAX: 21.95 MIN: 21.35 / MAX: 21.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd B A C 4 8 12 16 20 15.02 15.08 15.15 MIN: 14.9 / MAX: 16.5 MIN: 14.92 / MAX: 16.65 MIN: 14.99 / MAX: 16.43 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m A B C 2 4 6 8 10 7.66 7.79 7.79 MIN: 7.57 / MAX: 8.69 MIN: 7.69 / MAX: 8.98 MIN: 7.7 / MAX: 8.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer A B C 40 80 120 160 200 200.29 200.59 200.92 MIN: 198.86 / MAX: 206.5 MIN: 198.98 / MAX: 206.57 MIN: 199.03 / MAX: 207.08 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: FastestDet A B C 0.7515 1.503 2.2545 3.006 3.7575 3.32 3.32 3.34 MIN: 3.29 / MAX: 3.55 MIN: 3.28 / MAX: 3.53 MIN: 3.3 / MAX: 3.54 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: mobilenet B A C 140 280 420 560 700 639.19 640.10 642.89 MIN: 618.76 / MAX: 730.12 MIN: 622.52 / MAX: 676.1 MIN: 623.67 / MAX: 765.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 B A C 40 80 120 160 200 198.31 198.49 198.50 MIN: 186.96 / MAX: 210.08 MIN: 186.14 / MAX: 224.78 MIN: 187.82 / MAX: 207.05 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 C B A 40 80 120 160 200 167.03 167.14 167.56 MIN: 158.39 / MAX: 178.86 MIN: 157.61 / MAX: 177.49 MIN: 157.98 / MAX: 177.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 A B C 20 40 60 80 100 106.33 106.46 106.47 MIN: 102.28 / MAX: 113.65 MIN: 103.17 / MAX: 112.04 MIN: 103.09 / MAX: 113.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: mnasnet C A B 50 100 150 200 250 204.35 205.01 205.14 MIN: 192.76 / MAX: 215.67 MIN: 193.19 / MAX: 221.22 MIN: 195.85 / MAX: 226.66 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 B C A 60 120 180 240 300 292.26 292.89 293.29 MIN: 276.12 / MAX: 312.66 MIN: 274.99 / MAX: 320.88 MIN: 274.15 / MAX: 323.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: blazeface B C A 11 22 33 44 55 48.74 48.81 49.09 MIN: 41.9 / MAX: 57.51 MIN: 43.47 / MAX: 56.79 MIN: 43.63 / MAX: 55.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: googlenet C A B 120 240 360 480 600 543.95 545.67 545.92 MIN: 517.53 / MAX: 571.18 MIN: 525.83 / MAX: 575.66 MIN: 527.25 / MAX: 576.91 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: vgg16 A B C 600 1200 1800 2400 3000 2831.92 2841.52 2863.52 MIN: 2703.51 / MAX: 3289.07 MIN: 2811.41 / MAX: 2910.81 MIN: 2829.3 / MAX: 3181.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: resnet18 A B C 110 220 330 440 550 514.12 515.34 516.93 MIN: 485.62 / MAX: 550.54 MIN: 489.32 / MAX: 542.62 MIN: 493.25 / MAX: 551.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: alexnet C A B 120 240 360 480 600 536.66 537.52 537.72 MIN: 526.49 / MAX: 573.49 MIN: 526.68 / MAX: 590.41 MIN: 523.15 / MAX: 586.13 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: resnet50 A B C 300 600 900 1200 1500 1362.23 1366.64 1367.26 MIN: 1325.99 / MAX: 1412.93 MIN: 1340.24 / MAX: 1424.11 MIN: 1330.65 / MAX: 1405.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny A B C 200 400 600 800 1000 898.18 903.06 906.50 MIN: 852.8 / MAX: 953.89 MIN: 870.7 / MAX: 944.82 MIN: 874.76 / MAX: 944 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd A B C 110 220 330 440 550 492.08 495.99 497.79 MIN: 470.25 / MAX: 542.76 MIN: 469.78 / MAX: 577.85 MIN: 474.87 / MAX: 575.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m A B C 60 120 180 240 300 266.42 266.93 267.27 MIN: 259.19 / MAX: 280.54 MIN: 259.65 / MAX: 277.8 MIN: 260.17 / MAX: 282.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer B A C 1600 3200 4800 6400 8000 7491.53 7493.77 7496.91 MIN: 7393.35 / MAX: 7743.27 MIN: 7376.2 / MAX: 7952.36 MIN: 7397.5 / MAX: 7769.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: Vulkan GPU - Model: FastestDet C A B 20 40 60 80 100 96.87 97.27 97.43 MIN: 90.1 / MAX: 104.97 MIN: 91.44 / MAX: 103.85 MIN: 91.79 / MAX: 108.05 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU C B A 600 1200 1800 2400 3000 2557.91 2566.17 2579.07 MIN: 2421.24 / MAX: 2865.14 MIN: 2417.58 / MAX: 2783.8 MIN: 2416.44 / MAX: 4596.08 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU C A B 700 1400 2100 2800 3500 3412.02 3440.07 3450.77 MIN: 3188.48 / MAX: 4927.3 MIN: 3275.56 / MAX: 3921.02 MIN: 3109.25 / MAX: 5914.12 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU A C B 700 1400 2100 2800 3500 3480.06 3483.55 3484.58 MIN: 3148.94 / MAX: 5906.68 MIN: 3230.95 / MAX: 4583.23 MIN: 3311.7 / MAX: 3906.03 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU A C B 8 16 24 32 40 27.82 29.61 33.75 MIN: 20.55 / MAX: 72.72 MIN: 19.73 / MAX: 45.94 MIN: 19.39 / MAX: 45.57 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU B C A 120 240 360 480 600 554.46 556.50 560.65 MIN: 501.44 / MAX: 649.37 MIN: 502.62 / MAX: 638.24 MIN: 501.92 / MAX: 644.74 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU A C B 3 6 9 12 15 12.02 12.13 12.37 MIN: 10.83 / MAX: 59.9 MIN: 10.83 / MAX: 55.09 MIN: 10.85 / MAX: 59.04 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU A B C 7 14 21 28 35 32.07 32.11 32.13 MIN: 28.53 / MAX: 85.19 MIN: 28.55 / MAX: 100.34 MIN: 28.62 / MAX: 99.35 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU A C B 40 80 120 160 200 184.63 185.45 188.14 MIN: 166.48 / MAX: 277 MIN: 166.51 / MAX: 234.4 MIN: 168.53 / MAX: 283.55 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU C A B 2 4 6 8 10 8.40 8.41 8.43 MIN: 7.47 / MAX: 48.35 MIN: 7.46 / MAX: 48.89 MIN: 7.47 / MAX: 49.77 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU B A C 4 8 12 16 20 14.53 14.54 14.55 MIN: 13 / MAX: 58.73 MIN: 13.06 / MAX: 59.4 MIN: 12.97 / MAX: 25.07 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU C A B 0.2565 0.513 0.7695 1.026 1.2825 1.13 1.14 1.14 MIN: 1.01 / MAX: 7.35 MIN: 1.01 / MAX: 7.24 MIN: 1.01 / MAX: 7.26 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU A B C 0.1103 0.2206 0.3309 0.4412 0.5515 0.49 0.49 0.49 MIN: 0.45 / MAX: 3.36 MIN: 0.45 / MAX: 6.14 MIN: 0.44 / MAX: 6.53 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie
Timed Wasmer Compilation This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed Wasmer Compilation 2.3 Time To Compile B A C 16 32 48 64 80 70.76 71.50 72.28 1. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.2.2 Bulk Size: 100 - Inserts: 3000 - Rounds: 30 A C B 60 120 180 240 300 279.67 281.50 281.70 1. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD
OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.2.2 Bulk Size: 300 - Inserts: 1000 - Rounds: 30 B C A 40 80 120 160 200 168.26 172.76 195.56 1. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD
OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.2.2 Bulk Size: 300 - Inserts: 3000 - Rounds: 30 A B 300 600 900 1200 1500 1077.45 1324.70 1. (CXX) g++ options: -std=c++17 -lmozjs-78 -lm -lei -fPIC -MMD
A Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 11 September 2022 10:55 by user phoronix.
B Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 11 September 2022 17:55 by user phoronix.
C Processor: Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads), Motherboard: MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: Western Digital WD_BLACK SN750 SE 500GB, Graphics: MSI Intel ADL-S GT1 14GB (1450MHz), Audio: Realtek ALC897, Monitor: DELL S2409W, Network: Intel I225-V + Intel Device 7af0
OS: Ubuntu 22.04, Kernel: 5.15.0-40-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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 -vDisk Notes: NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x1f - Thermald 2.4.9Python Notes: Python 3.10.4Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 12 September 2022 04:42 by user phoronix.