august

AMD Ryzen 5 5500U testing with a NB01 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2208146-NE-AUGUST10566.

augustProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCAMD Ryzen 5 5500U @ 2.10GHz (6 Cores / 12 Threads)NB01 NL5xNU (1.07.11RTR1 BIOS)AMD Renoir/Cezanne16GBSamsung SSD 970 EVO Plus 500GBAMD Lucienne 512MB (1800/400MHz)AMD Renoir Radeon HD AudioRealtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200Ubuntu 22.045.18.8-051808-generic (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.46)1.2.204GCC 11.2.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-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 Processor Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8608103 Graphics Details- BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-LUCIENNE-016Security Details- 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 + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

augustunvanquished: 1920 x 1080 - Highunvanquished: 1920 x 1080 - Ultraunvanquished: 1920 x 1080 - Mediumlammps: 20k Atomslammps: Rhodopsin Proteinsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 10 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 10 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080pprimesieve: 1e12primesieve: 1e13aircrack-ng: node-web-tooling: astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustiveinkscape: SVG Files To PNGmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetABC261.7180.3292.13.7033.7520.91619.08441.35961.2743.2853.423127.628234.21337.868494.94719692.1059.3884.999626.7752.80430.300927.9612.3834.24637.3256.8164.355.22740.11520.16.095.134.394.749.041.7117.269.7814.139.8629.632.8921.8512.1288.75.34238.5154.3275.23.6043.7270.89918.74340.52259.7553.18051.832123.833228.79538.742518.75520126.3279.4084.113627.33502.97020.289627.5162.4274.36038.3946.9364.3475.28741.33320.286.085.114.454.699.031.6817.2269.4614.139.8129.5433.0421.6812.13293.065.18269.1176.1285.53.7013.7220.90118.72640.40760.1463.20552.537124.897229.09738.736504.26120365.1469.5384.888126.40732.76550.298127.7612.4214.28937.4826.8094.3765.21540.08220.126.035.144.394.698.981.7117.1469.3614.019.729.1832.5521.5812.11292.75.24OpenBenchmarking.org

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: High

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: HighABC60120180240300SE +/- 0.97, N = 3261.7238.5269.1

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Ultra

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: UltraABC4080120160200SE +/- 0.76, N = 3180.3154.3176.1

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: MediumABC60120180240300SE +/- 1.64, N = 3292.1275.2285.5

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsABC0.83321.66642.49963.33284.166SE +/- 0.013, N = 33.7033.6043.7011. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinABC0.84421.68842.53263.37684.221SE +/- 0.005, N = 33.7523.7273.7221. (CXX) g++ options: -O3 -lm -ldl

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KABC0.20610.41220.61830.82441.0305SE +/- 0.004, N = 30.9160.8990.9011. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KABC510152025SE +/- 0.04, N = 319.0818.7418.731. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 10 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KABC918273645SE +/- 0.03, N = 341.3640.5240.411. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KABC1428425670SE +/- 0.07, N = 361.2759.7660.151. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pABC0.7381.4762.2142.9523.69SE +/- 0.004, N = 33.2803.1803.2051. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pABC1224364860SE +/- 0.22, N = 353.4251.8352.541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 10 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pABC306090120150SE +/- 0.23, N = 3127.63123.83124.901. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pABC50100150200250SE +/- 0.20, N = 3234.21228.80229.101. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Primesieve

Length: 1e12

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12ABC918273645SE +/- 0.07, N = 337.8738.7438.741. (CXX) g++ options: -O3

Primesieve

Length: 1e13

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13ABC110220330440550SE +/- 3.79, N = 3494.95518.76504.261. (CXX) g++ options: -O3

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7ABC4K8K12K16K20KSE +/- 231.07, N = 419692.1120126.3320365.151. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkABC3691215SE +/- 0.10, N = 39.389.409.53

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastABC20406080100SE +/- 0.41, N = 385.0084.1184.891. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumABC612182430SE +/- 0.06, N = 326.7827.3426.411. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughABC0.66831.33662.00492.67323.3415SE +/- 0.0186, N = 32.80432.97022.76551. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveABC0.06770.13540.20310.27080.3385SE +/- 0.0024, N = 120.30090.28960.29811. (CXX) g++ options: -O3 -flto -pthread

Inkscape

Operation: SVG Files To PNG

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGABC714212835SE +/- 0.02, N = 327.9627.5227.761. Inkscape 1.1.2 (0a00cf5339, 2022-02-04)

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: mobilenetV3ABC0.54611.09221.63832.18442.7305SE +/- 0.023, N = 62.3832.4272.421MIN: 2.33 / MAX: 3.78MIN: 2.26 / MAX: 14.72MIN: 2.37 / MAX: 3.071. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: squeezenetv1.1ABC0.9811.9622.9433.9244.905SE +/- 0.043, N = 64.2464.3604.289MIN: 4.15 / MAX: 5.12MIN: 4.09 / MAX: 7.29MIN: 4.18 / MAX: 4.691. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: resnet-v2-50ABC918273645SE +/- 0.27, N = 637.3338.3937.48MIN: 36.59 / MAX: 49.54MIN: 36.55 / MAX: 51.64MIN: 36.68 / MAX: 49.911. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: SqueezeNetV1.0ABC246810SE +/- 0.061, N = 66.8166.9366.809MIN: 6.7 / MAX: 8.14MIN: 6.55 / MAX: 20.03MIN: 6.69 / MAX: 7.451. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: MobileNetV2_224ABC0.98461.96922.95383.93844.923SE +/- 0.040, N = 64.3504.3474.376MIN: 4.22 / MAX: 7.99MIN: 4.06 / MAX: 17.35MIN: 4.24 / MAX: 6.361. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: mobilenet-v1-1.0ABC1.18962.37923.56884.75845.948SE +/- 0.051, N = 65.2275.2875.215MIN: 5.12 / MAX: 17.1MIN: 4.93 / MAX: 17.79MIN: 5.15 / MAX: 5.721. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: inception-v3ABC918273645SE +/- 0.37, N = 640.1241.3340.08MIN: 38.9 / MAX: 51.6MIN: 37.91 / MAX: 82.83MIN: 38.9 / MAX: 52.781. (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

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetABC510152025SE +/- 0.01, N = 320.1020.2820.12MIN: 19.88 / MAX: 20.66MIN: 19.86 / MAX: 21.59MIN: 19.75 / MAX: 20.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2ABC246810SE +/- 0.03, N = 36.096.086.03MIN: 5.89 / MAX: 7.31MIN: 5.81 / MAX: 7.64MIN: 5.84 / MAX: 7.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ABC1.15652.3133.46954.6265.7825SE +/- 0.03, N = 35.135.115.14MIN: 5.02 / MAX: 6.05MIN: 4.94 / MAX: 6.25MIN: 5.02 / MAX: 6.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2ABC1.00132.00263.00394.00525.0065SE +/- 0.02, N = 34.394.454.39MIN: 4.31 / MAX: 5.3MIN: 4.31 / MAX: 14.68MIN: 4.32 / MAX: 5.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetABC1.06652.1333.19954.2665.3325SE +/- 0.06, N = 34.744.694.69MIN: 4.67 / MAX: 5.69MIN: 4.51 / MAX: 5.86MIN: 4.62 / MAX: 5.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0ABC3691215SE +/- 0.01, N = 39.049.038.98MIN: 8.86 / MAX: 10.84MIN: 8.74 / MAX: 10.7MIN: 8.81 / MAX: 10.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceABC0.38480.76961.15441.53921.924SE +/- 0.00, N = 31.711.681.71MIN: 1.65 / MAX: 1.9MIN: 1.62 / MAX: 2.53MIN: 1.66 / MAX: 2.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetABC48121620SE +/- 0.03, N = 317.2017.2217.14MIN: 16.98 / MAX: 18.82MIN: 16.83 / MAX: 28.01MIN: 16.85 / MAX: 27.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ABC1632486480SE +/- 0.06, N = 369.7869.4669.36MIN: 69.46 / MAX: 77.55MIN: 68.9 / MAX: 95.48MIN: 69.02 / MAX: 79.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18ABC48121620SE +/- 0.05, N = 314.1314.1314.01MIN: 13.86 / MAX: 15.5MIN: 13.87 / MAX: 25.69MIN: 13.78 / MAX: 15.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetABC3691215SE +/- 0.09, N = 39.869.819.70MIN: 9.69 / MAX: 11.2MIN: 9.49 / MAX: 11.5MIN: 9.51 / MAX: 10.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50ABC714212835SE +/- 0.13, N = 329.6029.5429.18MIN: 29.2 / MAX: 40.09MIN: 29.11 / MAX: 32.22MIN: 28.84 / MAX: 39.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyABC816243240SE +/- 0.13, N = 332.8933.0432.55MIN: 32.53 / MAX: 36.61MIN: 32.32 / MAX: 43.27MIN: 32.12 / MAX: 35.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdABC510152025SE +/- 0.15, N = 321.8521.6821.58MIN: 21.45 / MAX: 23.07MIN: 21.08 / MAX: 23.75MIN: 21.21 / MAX: 22.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mABC3691215SE +/- 0.06, N = 312.1012.1312.11MIN: 11.89 / MAX: 13.59MIN: 11.76 / MAX: 13.59MIN: 11.92 / MAX: 13.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerABC60120180240300SE +/- 0.64, N = 3288.70293.06292.70MIN: 283.53 / MAX: 299.76MIN: 290.88 / MAX: 310.75MIN: 288.04 / MAX: 304.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: FastestDet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetABC1.20152.4033.60454.8066.0075SE +/- 0.06, N = 35.345.185.24MIN: 5.29 / MAX: 5.71MIN: 5 / MAX: 5.5MIN: 5.17 / MAX: 5.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Phoronix Test Suite v10.8.4