vulkan benchmarks

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and AMD Radeon RX 6700 XT on Ubuntu 23.04 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 2308012-PTS-VULKANBE49
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August 01 2023
  3 Hours, 11 Minutes
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August 01 2023
  1 Hour, 32 Minutes
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vulkan benchmarksOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads)ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS)AMD Device 14d832GBWestern Digital WD_BLACK SN850X 1000GB + 4001GBAMD Radeon RX 6700 XT (2855/1000MHz)AMD Navi 21/23ASUS MG28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 23.046.4.6-060406-generic (x86_64)GNOME Shell 44.2X Server 1.21.1.7 + Wayland4.6 Mesa 23.3~git2307260600.87109c~oibaf~l (git-87109c3 2023-07-26 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.52)GCC 12.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionVulkan Benchmarks PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Pa930Z/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Pa930Z/gcc-12-12.2.0/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-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 - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa601203- BAR1 / Visible vRAM Size: 12272 MB - vBIOS Version: 113-D5121100-101- 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 Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%100%100%100%NCNNvkpeakVkFFTVkResample

vulkan benchmarksvkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: fp64-vec4vkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4vkfft: FFT + iFFT R2C / C2Rvkfft: FFT + iFFT C2C 1D batched in half precisionvkfft: FFT + iFFT C2C Bluestein in single precisionvkfft: FFT + iFFT C2C 1D batched in double precisionvkfft: FFT + iFFT C2C 1D batched in single precisionvkfft: FFT + iFFT C2C multidimensional in single precisionvkfft: FFT + iFFT C2C Bluestein benchmark in double precisionvkfft: FFT + iFFT C2C 1D batched in single precision, no reshufflingvkresample: 2x - Singlencnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: 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 - FastestDetncnn: CPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetncnn: CPU-v3-v3-v3 - mobilenetncnn: CPU-v3-v3-v3-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3-v3-v3-v3 - mobilenet-v3ncnn: CPU-v3-v3-v3 - shufflenet-v2ncnn: CPU-v3-v3-v3 - mnasnetncnn: CPU-v3-v3-v3 - efficientnet-b0ncnn: CPU-v3-v3-v3 - blazefacencnn: CPU-v3-v3-v3 - googlenetncnn: CPU-v3-v3-v3 - vgg16ncnn: CPU-v3-v3-v3 - resnet18ncnn: CPU-v3-v3-v3 - alexnetncnn: CPU-v3-v3-v3 - resnet50ncnn: CPU-v3-v3-v3 - yolov4-tinyncnn: CPU-v3-v3-v3 - squeezenet_ssdncnn: CPU-v3-v3-v3 - regnety_400mncnn: CPU-v3-v3-v3 - vision_transformerncnn: CPU-v3-v3-v3 - FastestDetncnn: Vulkan GPU-v3-v3-v3 - mobilenetncnn: Vulkan GPU-v3-v3-v3-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3-v3-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v3-v3-v3 - shufflenet-v2ncnn: Vulkan GPU-v3-v3-v3 - mnasnetncnn: Vulkan GPU-v3-v3-v3 - efficientnet-b0ncnn: Vulkan GPU-v3-v3-v3 - blazefacencnn: Vulkan GPU-v3-v3-v3 - googlenetncnn: Vulkan GPU-v3-v3-v3 - vgg16ncnn: Vulkan GPU-v3-v3-v3 - resnet18ncnn: Vulkan GPU-v3-v3-v3 - alexnetncnn: Vulkan GPU-v3-v3-v3 - resnet50ncnn: Vulkan GPU-v3-v3-v3 - yolov4-tinyncnn: Vulkan GPU-v3-v3-v3 - squeezenet_ssdncnn: Vulkan GPU-v3-v3-v3 - regnety_400mncnn: Vulkan GPU-v3-v3-v3 - vision_transformerncnn: Vulkan GPU-v3-v3-v3 - FastestDetabc13190.0912730.0813154.1523232.42841.40841.802272.622658.7313102.7523123.7742105915971134020816478873300147175050411.6868.053.163.342.973.901.387.9423.755.294.4110.2012.907.078.1832.493.623.188.053.173.173.352.983.861.387.9023.515.284.3110.0112.847.098.1631.884.112807.0612808.5913145.1923390.44839.2836.552269.252640.0813070.8123396.5942163918121127320822479483275146955064311.697.973.163.342.973.851.387.8223.495.24.3210.0112.747.068.1831.954.058.043.143.332.953.821.377.8523.565.234.331012.877.078.2131.854.078.013.153.163.332.973.821.377.8423.55.214.2910.0112.987.038.0531.654.0783.153.163.332.963.851.377.9723.425.424.429.8712.777.148.2731.714.0612860.5612822.0113136.7923387.26839.01836.162269.062638.6913063.8623385.4443021917441131120847479713281246705059611.6888.023.183.352.993.881.397.9323.455.244.3110.1112.817.18.2731.774.113.178.033.133.23.322.963.831.377.823.545.214.331012.817.06831.794.0983.143.163.342.973.891.387.8823.995.264.2810.3312.897.048.1431.784.087.953.153.173.332.963.821.367.8323.545.234.310.0312.867.077.9831.663.69OpenBenchmarking.org

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-scalarabc3K6K9K12K15KSE +/- 4.18, N = 313190.0912807.0612860.56

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-vec4abc3K6K9K12K15KSE +/- 1.81, N = 312730.0812808.5912822.01

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-scalarabc3K6K9K12K15KSE +/- 4.01, N = 313154.1513145.1913136.79

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-vec4abc5K10K15K20K25KSE +/- 5.96, N = 323232.4223390.4423387.26

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp64-scalarabc2004006008001000SE +/- 0.22, N = 3841.40839.20839.01

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp64-vec4abc2004006008001000SE +/- 0.32, N = 3841.80836.55836.16

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-scalarabc5001000150020002500SE +/- 0.34, N = 32272.622269.252269.06

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-vec4abc6001200180024003000SE +/- 0.26, N = 32658.732640.082638.69

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-scalarabc3K6K9K12K15KSE +/- 1.30, N = 313102.7513070.8113063.86

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-vec4abc5K10K15K20K25KSE +/- 21.55, N = 323123.7723396.5923385.44

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT R2C / C2Rabc9K18K27K36K45KSE +/- 200.55, N = 34210542163430211. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in half precisionabc20K40K60K80K100KSE +/- 83.55, N = 39159791812917441. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C Bluestein in single precisionabc2K4K6K8K10KSE +/- 62.67, N = 31134011273113111. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in double precisionabc4K8K12K16K20KSE +/- 11.67, N = 32081620822208471. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in single precisionabc10K20K30K40K50KSE +/- 9.54, N = 34788747948479711. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C multidimensional in single precisionabc7K14K21K28K35KSE +/- 57.83, N = 33300132751328121. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C Bluestein benchmark in double precisionabc10002000300040005000SE +/- 0.33, N = 34717469546701. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in single precision, no reshufflingabc11K22K33K44K55KSE +/- 8.89, N = 35050450643505961. (CXX) g++ options: -O3

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Singleabc3691215SE +/- 0.00, N = 311.6911.6911.691. (CXX) g++ options: -O3

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetabc246810SE +/- 0.03, N = 38.057.978.02MIN: 7.97 / MAX: 9.07MIN: 7.94 / MAX: 8.26MIN: 7.98 / MAX: 8.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2abc0.71551.4312.14652.8623.5775SE +/- 0.00, N = 33.163.163.18MIN: 3.1 / MAX: 3.8MIN: 3.11 / MAX: 3.61MIN: 3.13 / MAX: 3.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2abc0.75381.50762.26143.01523.769SE +/- 0.01, N = 33.343.343.35MIN: 3.3 / MAX: 3.85MIN: 3.31 / MAX: 3.77MIN: 3.31 / MAX: 3.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetabc0.67281.34562.01842.69123.364SE +/- 0.01, N = 32.972.972.99MIN: 2.92 / MAX: 3.48MIN: 2.93 / MAX: 3.45MIN: 2.96 / MAX: 3.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0abc0.87751.7552.63253.514.3875SE +/- 0.05, N = 33.903.853.88MIN: 3.82 / MAX: 4.51MIN: 3.81 / MAX: 4.42MIN: 3.84 / MAX: 4.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceabc0.31280.62560.93841.25121.564SE +/- 0.00, N = 31.381.381.39MIN: 1.35 / MAX: 2.06MIN: 1.35 / MAX: 1.67MIN: 1.36 / MAX: 1.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetabc246810SE +/- 0.11, N = 37.947.827.93MIN: 7.71 / MAX: 8.73MIN: 7.73 / MAX: 8.65MIN: 7.82 / MAX: 8.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16abc612182430SE +/- 0.30, N = 323.7523.4923.45MIN: 23.31 / MAX: 25.12MIN: 23.36 / MAX: 24.62MIN: 23.26 / MAX: 24.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18abc1.19032.38063.57094.76125.9515SE +/- 0.07, N = 35.295.205.24MIN: 5.09 / MAX: 6.29MIN: 5.1 / MAX: 5.9MIN: 5.15 / MAX: 6.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetabc0.99231.98462.97693.96924.9615SE +/- 0.11, N = 34.414.324.31MIN: 4.24 / MAX: 5.16MIN: 4.26 / MAX: 5.15MIN: 4.26 / MAX: 4.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50abc3691215SE +/- 0.23, N = 310.2010.0110.11MIN: 9.84 / MAX: 12.48MIN: 9.85 / MAX: 11.06MIN: 9.95 / MAX: 16.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinyabc3691215SE +/- 0.11, N = 312.9012.7412.81MIN: 12.69 / MAX: 15.88MIN: 12.66 / MAX: 13.28MIN: 12.74 / MAX: 13.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdabc246810SE +/- 0.01, N = 37.077.067.10MIN: 7.01 / MAX: 8.07MIN: 7.01 / MAX: 7.55MIN: 7.05 / MAX: 7.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mabc246810SE +/- 0.04, N = 38.188.188.27MIN: 8.07 / MAX: 9.68MIN: 8.12 / MAX: 8.86MIN: 8.22 / MAX: 9.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformerabc816243240SE +/- 0.29, N = 332.4931.9531.77MIN: 31.67 / MAX: 40.11MIN: 31.79 / MAX: 32.33MIN: 31.61 / MAX: 35.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetabc0.92481.84962.77443.69924.624SE +/- 0.45, N = 33.624.054.11MIN: 2.7 / MAX: 4.54MIN: 4.02 / MAX: 4.35MIN: 4.08 / MAX: 4.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3ac0.71551.4312.14652.8623.5775SE +/- 0.00, N = 23.183.17MIN: 3.14 / MAX: 3.82MIN: 3.15 / MAX: 3.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetabc246810SE +/- 0.02, N = 38.058.048.03MIN: 7.95 / MAX: 8.89MIN: 7.95 / MAX: 14.33MIN: 7.98 / MAX: 8.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2abc0.71331.42662.13992.85323.5665SE +/- 0.01, N = 33.173.143.13MIN: 3.09 / MAX: 3.78MIN: 3.1 / MAX: 3.73MIN: 3.08 / MAX: 3.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3ac0.721.442.162.883.6SE +/- 0.02, N = 33.173.20MIN: 3.11 / MAX: 3.73MIN: 3.16 / MAX: 3.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2abc0.75381.50762.26143.01523.769SE +/- 0.01, N = 33.353.333.32MIN: 3.29 / MAX: 3.85MIN: 3.3 / MAX: 3.59MIN: 3.29 / MAX: 4.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetabc0.67051.3412.01152.6823.3525SE +/- 0.01, N = 32.982.952.96MIN: 2.92 / MAX: 4.03MIN: 2.92 / MAX: 3.42MIN: 2.93 / MAX: 3.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0abc0.86851.7372.60553.4744.3425SE +/- 0.01, N = 33.863.823.83MIN: 3.8 / MAX: 4.6MIN: 3.78 / MAX: 4.39MIN: 3.79 / MAX: 4.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceabc0.31050.6210.93151.2421.5525SE +/- 0.01, N = 31.381.371.37MIN: 1.34 / MAX: 1.85MIN: 1.35 / MAX: 1.75MIN: 1.35 / MAX: 1.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetabc246810SE +/- 0.02, N = 37.907.857.80MIN: 7.74 / MAX: 9.54MIN: 7.76 / MAX: 8.76MIN: 7.72 / MAX: 8.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16abc612182430SE +/- 0.04, N = 323.5123.5623.54MIN: 23.29 / MAX: 24.68MIN: 23.34 / MAX: 24.72MIN: 23.33 / MAX: 24.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18abc1.1882.3763.5644.7525.94SE +/- 0.01, N = 35.285.235.21MIN: 5.17 / MAX: 6.16MIN: 5.13 / MAX: 6.18MIN: 5.11 / MAX: 6.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetabc0.97431.94862.92293.89724.8715SE +/- 0.01, N = 34.314.334.33MIN: 4.24 / MAX: 5.2MIN: 4.28 / MAX: 5.16MIN: 4.26 / MAX: 10.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50abc3691215SE +/- 0.02, N = 310.0110.0010.00MIN: 9.88 / MAX: 11.4MIN: 9.92 / MAX: 12.35MIN: 9.91 / MAX: 11.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyabc3691215SE +/- 0.02, N = 312.8412.8712.81MIN: 12.69 / MAX: 15.33MIN: 12.76 / MAX: 13.73MIN: 12.73 / MAX: 13.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdabc246810SE +/- 0.02, N = 37.097.077.06MIN: 6.98 / MAX: 7.95MIN: 7 / MAX: 8.07MIN: 7 / MAX: 8.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mabc246810SE +/- 0.11, N = 38.168.218.00MIN: 7.9 / MAX: 8.99MIN: 8.14 / MAX: 8.84MIN: 7.94 / MAX: 8.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerabc714212835SE +/- 0.09, N = 331.8831.8531.79MIN: 31.55 / MAX: 37.47MIN: 31.69 / MAX: 33.06MIN: 31.63 / MAX: 35.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetabc0.92251.8452.76753.694.6125SE +/- 0.00, N = 34.104.074.09MIN: 4.06 / MAX: 4.81MIN: 4.04 / MAX: 4.53MIN: 4.05 / MAX: 5.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: mobilenetbc2468108.018.00MIN: 7.95 / MAX: 8.95MIN: 7.96 / MAX: 8.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3-v2-v2 - Model: mobilenet-v2bc0.70881.41762.12642.83523.5443.153.14MIN: 3.1 / MAX: 3.68MIN: 3.1 / MAX: 3.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3-v3-v3 - Model: mobilenet-v3bc0.7111.4222.1332.8443.5553.163.16MIN: 3.12 / MAX: 3.69MIN: 3.12 / MAX: 3.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: shufflenet-v2bc0.75151.5032.25453.0063.75753.333.34MIN: 3.3 / MAX: 3.79MIN: 3.32 / MAX: 3.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: mnasnetbc0.66831.33662.00492.67323.34152.972.97MIN: 2.94 / MAX: 3.43MIN: 2.94 / MAX: 3.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: efficientnet-b0bc0.87531.75062.62593.50124.37653.823.89MIN: 3.79 / MAX: 4.34MIN: 3.83 / MAX: 9.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: blazefacebc0.31050.6210.93151.2421.55251.371.38MIN: 1.35 / MAX: 1.52MIN: 1.36 / MAX: 1.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: googlenetbc2468107.847.88MIN: 7.74 / MAX: 8.7MIN: 7.79 / MAX: 8.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: vgg16bc61218243023.5023.99MIN: 23.3 / MAX: 24.41MIN: 23.72 / MAX: 24.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: resnet18bc1.18352.3673.55054.7345.91755.215.26MIN: 5.12 / MAX: 6.22MIN: 5.18 / MAX: 6.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: alexnetbc0.96531.93062.89593.86124.82654.294.28MIN: 4.24 / MAX: 5.64MIN: 4.24 / MAX: 5.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: resnet50bc369121510.0110.33MIN: 9.89 / MAX: 10.86MIN: 10.16 / MAX: 13.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: yolov4-tinybc369121512.9812.89MIN: 12.73 / MAX: 35.55MIN: 12.84 / MAX: 13.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: squeezenet_ssdbc2468107.037.04MIN: 6.97 / MAX: 7.88MIN: 6.96 / MAX: 7.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: regnety_400mbc2468108.058.14MIN: 8 / MAX: 8.58MIN: 8.08 / MAX: 8.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: vision_transformerbc71421283531.6531.78MIN: 31.53 / MAX: 32.23MIN: 31.64 / MAX: 34.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3-v3 - Model: FastestDetbc0.9181.8362.7543.6724.594.074.08MIN: 4.03 / MAX: 5.83MIN: 4.05 / MAX: 4.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: mobilenetbc2468108.007.95MIN: 7.95 / MAX: 8.99MIN: 7.89 / MAX: 8.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3-v2-v2 - Model: mobilenet-v2bc0.70881.41762.12642.83523.5443.153.15MIN: 3.11 / MAX: 3.88MIN: 3.11 / MAX: 3.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3-v3-v3 - Model: mobilenet-v3bc0.71331.42662.13992.85323.56653.163.17MIN: 3.11 / MAX: 3.75MIN: 3.11 / MAX: 8.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: shufflenet-v2bc0.74931.49862.24792.99723.74653.333.33MIN: 3.3 / MAX: 3.77MIN: 3.31 / MAX: 3.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: mnasnetbc0.6661.3321.9982.6643.332.962.96MIN: 2.93 / MAX: 3.4MIN: 2.93 / MAX: 3.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: efficientnet-b0bc0.86631.73262.59893.46524.33153.853.82MIN: 3.82 / MAX: 4.48MIN: 3.78 / MAX: 4.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: blazefacebc0.30830.61660.92491.23321.54151.371.36MIN: 1.35 / MAX: 1.39MIN: 1.34 / MAX: 1.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: googlenetbc2468107.977.83MIN: 7.89 / MAX: 8.7MIN: 7.74 / MAX: 8.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: vgg16bc61218243023.4223.54MIN: 23.27 / MAX: 24.32MIN: 23.32 / MAX: 24.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: resnet18bc1.21952.4393.65854.8786.09755.425.23MIN: 5.36 / MAX: 6.27MIN: 5.11 / MAX: 6.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: alexnetbc0.99451.9892.98353.9784.97254.424.30MIN: 4.32 / MAX: 5.1MIN: 4.26 / MAX: 5.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: resnet50bc36912159.8710.03MIN: 9.79 / MAX: 10.73MIN: 9.93 / MAX: 10.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: yolov4-tinybc369121512.7712.86MIN: 12.69 / MAX: 13.71MIN: 12.76 / MAX: 13.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: squeezenet_ssdbc2468107.147.07MIN: 7.06 / MAX: 7.95MIN: 7.01 / MAX: 7.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: regnety_400mbc2468108.277.98MIN: 8.22 / MAX: 9.01MIN: 7.93 / MAX: 8.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: vision_transformerbc71421283531.7131.66MIN: 31.56 / MAX: 33.03MIN: 31.52 / MAX: 32.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3-v3 - Model: FastestDetbc0.91351.8272.74053.6544.56754.063.69MIN: 4.03 / MAX: 4.3MIN: 3.66 / MAX: 3.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

87 Results Shown

vkpeak:
  fp32-scalar
  fp32-vec4
  fp16-scalar
  fp16-vec4
  fp64-scalar
  fp64-vec4
  int32-scalar
  int32-vec4
  int16-scalar
  int16-vec4
VkFFT:
  FFT + iFFT R2C / C2R
  FFT + iFFT C2C 1D batched in half precision
  FFT + iFFT C2C Bluestein in single precision
  FFT + iFFT C2C 1D batched in double precision
  FFT + iFFT C2C 1D batched in single precision
  FFT + iFFT C2C multidimensional in single precision
  FFT + iFFT C2C Bluestein benchmark in double precision
  FFT + iFFT C2C 1D batched in single precision, no reshuffling
VkResample
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
  CPU-v3-v3 - mobilenet-v3
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
  Vulkan GPU - vision_transformer
  Vulkan GPU - FastestDet
  CPU-v3-v3-v3 - mobilenet
  CPU-v3-v3-v3-v2-v2 - mobilenet-v2
  CPU-v3-v3-v3-v3-v3 - mobilenet-v3
  CPU-v3-v3-v3 - shufflenet-v2
  CPU-v3-v3-v3 - mnasnet
  CPU-v3-v3-v3 - efficientnet-b0
  CPU-v3-v3-v3 - blazeface
  CPU-v3-v3-v3 - googlenet
  CPU-v3-v3-v3 - vgg16
  CPU-v3-v3-v3 - resnet18
  CPU-v3-v3-v3 - alexnet
  CPU-v3-v3-v3 - resnet50
  CPU-v3-v3-v3 - yolov4-tiny
  CPU-v3-v3-v3 - squeezenet_ssd
  CPU-v3-v3-v3 - regnety_400m
  CPU-v3-v3-v3 - vision_transformer
  CPU-v3-v3-v3 - FastestDet
  Vulkan GPU-v3-v3-v3 - mobilenet
  Vulkan GPU-v3-v3-v3-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3-v3-v3-v3 - mobilenet-v3
  Vulkan GPU-v3-v3-v3 - shufflenet-v2
  Vulkan GPU-v3-v3-v3 - mnasnet
  Vulkan GPU-v3-v3-v3 - efficientnet-b0
  Vulkan GPU-v3-v3-v3 - blazeface
  Vulkan GPU-v3-v3-v3 - googlenet
  Vulkan GPU-v3-v3-v3 - vgg16
  Vulkan GPU-v3-v3-v3 - resnet18
  Vulkan GPU-v3-v3-v3 - alexnet
  Vulkan GPU-v3-v3-v3 - resnet50
  Vulkan GPU-v3-v3-v3 - yolov4-tiny
  Vulkan GPU-v3-v3-v3 - squeezenet_ssd
  Vulkan GPU-v3-v3-v3 - regnety_400m
  Vulkan GPU-v3-v3-v3 - vision_transformer
  Vulkan GPU-v3-v3-v3 - FastestDet