vulkan rem

AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB 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-NE-VULKANREM18
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vulkan remOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads)LENOVO 21CM0001US (R22ET51W 1.21 BIOS)AMD 17h-19h PCIe Root Complex16GB512GB Micron MTFDKBA512TFKAMD Radeon 680M 1GB (2200/400MHz)AMD Rembrandt Radeon HD AudioQualcomm QCNFA765Ubuntu 23.046.2.0-23-generic (x86_64)GNOME Shell 44.0X Server + Wayland4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49)GCC 12.2.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionVulkan Rem BenchmarksSystem 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) - Platform Profile: balanced - CPU Microcode: 0xa404102 - ACPI Profile: balanced - BAR1 / Visible vRAM Size: 1024 MB - vBIOS Version: 113-REMBRANDT-036- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%102%103%105%107%vkpeakNCNNVkResampleVkFFT

vulkan remvkfft: FFT + iFFT R2C / C2Rvkfft: FFT + iFFT C2C 1D batched in half precisionvkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: fp64-vec4vkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4vkresample: 2x - Singlencnn: 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 - FastestDetncnn: 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 - FastestDetabc6283199432944.082243.242642.573807.71212.10211.33524.70574.372593.433663.4356.22412.843.132.551.932.614.760.689.7850.177.257.5216.9421.968.486.32126.102.5912.963.112.611.952.624.820.689.6750.247.177.5716.9122.168.426.23126.512.706283198143103.052351.212740.424015.65211.74211.42529.13562.502710.103870.3856.46212.813.142.591.962.624.800.699.8250.327.277.4916.9122.098.446.35126.332.5612.833.152.622.002.674.830.699.7650.287.137.4617.0722.008.436.37126.342.696282199043197.22617.932787.134177.12212.1211.79579.33597.522745.023988.1756.00212.773.082.551.892.564.720.669.6950.157.127.4116.8321.968.416.24125.842.6312.683.082.531.92.544.650.659.2850.227.087.4616.8421.928.446.03126.042.85OpenBenchmarking.org

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT R2C / C2Rcab13002600390052006500SE +/- 14.84, N = 3SE +/- 22.70, N = 36282628362831. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.2.31Test: FFT + iFFT C2C 1D batched in half precisionbca4K8K12K16K20KSE +/- 39.59, N = 3SE +/- 100.68, N = 31981419904199431. (CXX) g++ options: -O3

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-scalarabc7001400210028003500SE +/- 14.11, N = 3SE +/- 23.68, N = 32718.373103.053197.20

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp32-vec4abc6001200180024003000SE +/- 32.03, N = 3SE +/- 123.18, N = 32243.242351.212617.93

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-scalarabc6001200180024003000SE +/- 3.99, N = 3SE +/- 5.74, N = 32479.902740.422787.13

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp16-vec4abc9001800270036004500SE +/- 6.67, N = 3SE +/- 8.25, N = 33644.384015.654177.12

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp64-scalarabc50100150200250SE +/- 0.31, N = 3SE +/- 0.02, N = 3209.84211.74212.10

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20230730fp64-vec4abc50100150200250SE +/- 1.84, N = 3SE +/- 0.01, N = 3206.80211.42211.79

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-scalarabc130260390520650SE +/- 0.31, N = 3SE +/- 5.09, N = 3508.88529.13579.33

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int32-vec4bac130260390520650SE +/- 0.16, N = 3SE +/- 0.23, N = 3562.50572.29597.52

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-scalarabc6001200180024003000SE +/- 1.78, N = 3SE +/- 2.74, N = 32469.932710.102745.02

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20230730int16-vec4abc9001800270036004500SE +/- 3.59, N = 3SE +/- 1.88, N = 33628.613870.383988.17

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: Singlebac1326395265SE +/- 0.06, N = 3SE +/- 0.11, N = 356.4656.2256.001. (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: mobilenetabc3691215SE +/- 0.07, N = 3SE +/- 0.05, N = 312.8412.8112.77MIN: 12.39 / MAX: 24.16MIN: 12.4 / MAX: 24.01MIN: 12.53 / MAX: 13.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2bac0.70651.4132.11952.8263.5325SE +/- 0.02, N = 3SE +/- 0.01, N = 33.143.133.08MIN: 2.82 / MAX: 6.88MIN: 2.84 / MAX: 4.95MIN: 2.87 / MAX: 5.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3bca0.58281.16561.74842.33122.914SE +/- 0.02, N = 3SE +/- 0.01, N = 32.592.552.55MIN: 2.37 / MAX: 4.44MIN: 2.36 / MAX: 4.15MIN: 2.33 / MAX: 4.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2bac0.4410.8821.3231.7642.205SE +/- 0.02, N = 3SE +/- 0.01, N = 31.961.931.89MIN: 1.76 / MAX: 2.37MIN: 1.78 / MAX: 3.55MIN: 1.75 / MAX: 2.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetbac0.58951.1791.76852.3582.9475SE +/- 0.02, N = 3SE +/- 0.01, N = 32.622.612.56MIN: 2.41 / MAX: 4.05MIN: 2.4 / MAX: 13.39MIN: 2.43 / MAX: 3.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0bac1.082.163.244.325.4SE +/- 0.05, N = 3SE +/- 0.01, N = 34.804.764.72MIN: 4.43 / MAX: 16.71MIN: 4.52 / MAX: 6.74MIN: 4.48 / MAX: 6.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefacebac0.15530.31060.46590.62120.7765SE +/- 0.01, N = 3SE +/- 0.02, N = 30.690.680.66MIN: 0.62 / MAX: 1.56MIN: 0.61 / MAX: 1.04MIN: 0.58 / MAX: 1.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetbac3691215SE +/- 0.12, N = 3SE +/- 0.13, N = 39.829.789.69MIN: 9.05 / MAX: 20.33MIN: 8.97 / MAX: 12.44MIN: 9.1 / MAX: 14.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16bac1122334455SE +/- 0.14, N = 3SE +/- 0.05, N = 350.3250.1750.15MIN: 48.97 / MAX: 62.15MIN: 49.14 / MAX: 61.46MIN: 49.73 / MAX: 62.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18bac246810SE +/- 0.06, N = 3SE +/- 0.03, N = 37.277.257.12MIN: 6.79 / MAX: 8.94MIN: 6.86 / MAX: 18.35MIN: 6.81 / MAX: 9.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetabc246810SE +/- 0.02, N = 3SE +/- 0.01, N = 37.527.497.41MIN: 7.23 / MAX: 18.52MIN: 7.23 / MAX: 9.71MIN: 7.16 / MAX: 8.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50abc48121620SE +/- 0.06, N = 3SE +/- 0.05, N = 316.9416.9116.83MIN: 16.46 / MAX: 19.7MIN: 16.24 / MAX: 28.07MIN: 16.52 / MAX: 17.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinybca510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 322.0921.9621.96MIN: 21.39 / MAX: 34.39MIN: 21.3 / MAX: 22.99MIN: 21.38 / MAX: 24.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdabc246810SE +/- 0.05, N = 3SE +/- 0.00, N = 38.488.448.41MIN: 7.97 / MAX: 10.91MIN: 8.13 / MAX: 10.76MIN: 8.13 / MAX: 10.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mbac246810SE +/- 0.07, N = 3SE +/- 0.06, N = 36.356.326.24MIN: 5.75 / MAX: 8.02MIN: 5.79 / MAX: 8.1MIN: 5.75 / MAX: 17.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformerbac306090120150SE +/- 0.11, N = 3SE +/- 0.07, N = 3126.33126.10125.84MIN: 123.54 / MAX: 135.11MIN: 122.74 / MAX: 136.47MIN: 123.61 / MAX: 158.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetcab0.59181.18361.77542.36722.959SE +/- 0.02, N = 32.632.592.56MIN: 2.54 / MAX: 3.07MIN: 2.42 / MAX: 4.18MIN: 2.44 / MAX: 31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetabc3691215SE +/- 0.17, N = 3SE +/- 0.01, N = 312.9612.8312.68MIN: 12.39 / MAX: 63.67MIN: 12.51 / MAX: 14.26MIN: 12.47 / MAX: 13.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2bac0.70881.41762.12642.83523.544SE +/- 0.03, N = 3SE +/- 0.01, N = 33.153.113.08MIN: 2.86 / MAX: 4.58MIN: 2.87 / MAX: 4.89MIN: 2.8 / MAX: 4.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3bac0.58951.1791.76852.3582.9475SE +/- 0.02, N = 3SE +/- 0.02, N = 32.622.612.53MIN: 2.46 / MAX: 4.3MIN: 2.39 / MAX: 14.7MIN: 2.32 / MAX: 3.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2bac0.450.91.351.82.25SE +/- 0.02, N = 3SE +/- 0.01, N = 32.001.951.90MIN: 1.67 / MAX: 3.67MIN: 1.85 / MAX: 3MIN: 1.84 / MAX: 2.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetbac0.60081.20161.80242.40323.004SE +/- 0.03, N = 3SE +/- 0.01, N = 32.672.622.54MIN: 2.51 / MAX: 4.2MIN: 2.35 / MAX: 3.91MIN: 2.43 / MAX: 3.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0bac1.08682.17363.26044.34725.434SE +/- 0.03, N = 3SE +/- 0.03, N = 34.834.824.65MIN: 4.39 / MAX: 7.05MIN: 4.4 / MAX: 18.07MIN: 4.49 / MAX: 6.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefacebac0.15530.31060.46590.62120.7765SE +/- 0.01, N = 3SE +/- 0.01, N = 30.690.680.65MIN: 0.65 / MAX: 1.64MIN: 0.65 / MAX: 1.07MIN: 0.62 / MAX: 0.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetbac3691215SE +/- 0.10, N = 3SE +/- 0.09, N = 39.769.679.28MIN: 9.08 / MAX: 20.73MIN: 9.02 / MAX: 11.84MIN: 8.96 / MAX: 11.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16bac1122334455SE +/- 0.15, N = 3SE +/- 0.06, N = 350.2850.2450.22MIN: 49.14 / MAX: 62.5MIN: 49.26 / MAX: 62.9MIN: 49.37 / MAX: 63.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18abc246810SE +/- 0.12, N = 3SE +/- 0.07, N = 37.177.137.08MIN: 6.62 / MAX: 9.23MIN: 6.57 / MAX: 9.32MIN: 6.61 / MAX: 11.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetacb246810SE +/- 0.01, N = 3SE +/- 0.04, N = 37.577.467.46MIN: 7.1 / MAX: 9.67MIN: 7.2 / MAX: 9.11MIN: 7.1 / MAX: 10.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50bac48121620SE +/- 0.07, N = 3SE +/- 0.02, N = 317.0716.9116.84MIN: 16.47 / MAX: 28.45MIN: 16.43 / MAX: 27.99MIN: 16.47 / MAX: 19.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyabc510152025SE +/- 0.14, N = 3SE +/- 0.05, N = 322.1622.0021.92MIN: 21.38 / MAX: 32.76MIN: 21.31 / MAX: 25.03MIN: 21.18 / MAX: 24.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdcba246810SE +/- 0.01, N = 3SE +/- 0.02, N = 38.448.438.42MIN: 8.08 / MAX: 19.62MIN: 8.12 / MAX: 11.62MIN: 8.05 / MAX: 10.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mbac246810SE +/- 0.03, N = 3SE +/- 0.04, N = 36.376.236.03MIN: 5.88 / MAX: 8.18MIN: 5.87 / MAX: 8.11MIN: 5.54 / MAX: 7.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerabc306090120150SE +/- 0.07, N = 3SE +/- 0.19, N = 3126.51126.34126.04MIN: 123.01 / MAX: 136.01MIN: 123.22 / MAX: 135.57MIN: 123.54 / MAX: 133.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetcab0.64131.28261.92392.56523.2065SE +/- 0.09, N = 3SE +/- 0.12, N = 32.852.702.69MIN: 2.76 / MAX: 3.26MIN: 2.48 / MAX: 5.38MIN: 2.46 / MAX: 14.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread