ncnn mnn alderlake p

Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB on Arch rolling via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2208135-NE-NCNNMNNAL41&rdt.

ncnn mnn alderlake pProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCIntel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads)MSI MS-14C6 (E14C6IMS.115 BIOS)Intel Alder Lake PCH16GB1024GB Micron_3400_MTFDKBA1T0TFHMSI Intel ADL GT2 15GB (1450MHz)Intel Alder Lake PCH-P HD AudioIntel Alder Lake-P PCH CNVi WiFiArch rolling5.18.16-arch1-1 (x86_64)KDE Plasma 5.25.4X Server 1.21.1.4 + Wayland4.6 Mesa 22.1.41.3.211GCC 12.1.1 20220730ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: alwaysCompiler Details- --disable-libssp --disable-libstdcxx-pch --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-build-config=bootstrap-lto --with-linker-hash-style=gnu Processor Details- Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x41cSecurity Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ncnn mnn alderlake pmnn: 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 - 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 - FastestDetABC3.1056.64454.10410.4085.8567.00156.99116.723.523.254.314.237.981.6713.6544.8810.677.6623.5125.1015.8014.00332.685.6211.724.024.533.054.089.281.1713.3472.6713.1110.8023.2645.6510.026.12508.634.593.0926.84742.59310.5685.7937.06357.27315.853.562.983.353.155.871.6712.9141.2210.157.3222.2223.6714.813.47322.165.3512.273.894.942.694.539.041.1414.573.6312.8911.2623.869.4610.585.42509.424.82.8535.58335.4249.5545.6616.15149.28614.553.552.963.323.155.371.4511.7337.49.346.8120.3721.8513.712.06310.7511.653.734.252.573.89.031.1413.6970.6412.8110.7521.4729.829.895.42489.734.33OpenBenchmarking.org

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.0Model: mobilenetV3ABC0.69861.39722.09582.79443.493SE +/- 0.034, N = 123.1053.0922.853MIN: 2.64 / MAX: 7.34MIN: 2.82 / MAX: 6.95MIN: 2.68 / MAX: 3.271. (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: squeezenetv1.1ABC246810SE +/- 0.103, N = 126.6446.8475.583MIN: 5.69 / MAX: 12.68MIN: 6.71 / MAX: 11.63MIN: 5.46 / MAX: 5.91. (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-v2-50ABC1224364860SE +/- 1.74, N = 1254.1042.5935.42MIN: 25.35 / MAX: 63.96MIN: 29.52 / MAX: 53.86MIN: 25.55 / MAX: 46.821. (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: SqueezeNetV1.0ABC3691215SE +/- 0.117, N = 1210.40810.5689.554MIN: 9.15 / MAX: 15.71MIN: 10.3 / MAX: 14.69MIN: 9.44 / MAX: 10.431. (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_224ABC1.31762.63523.95285.27046.588SE +/- 0.033, N = 125.8565.7935.661MIN: 5.41 / MAX: 26.24MIN: 5.7 / MAX: 6.18MIN: 5.55 / MAX: 6.041. (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-v1-1.0ABC246810SE +/- 0.091, N = 127.0017.0636.151MIN: 6.16 / MAX: 11.52MIN: 6.75 / MAX: 12.29MIN: 5.64 / MAX: 6.561. (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-v3ABC1326395265SE +/- 0.71, N = 1256.9957.2749.29MIN: 50.82 / MAX: 79.99MIN: 51.21 / MAX: 62.84MIN: 48.8 / MAX: 59.331. (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: mobilenetCAB48121620SE +/- 0.17, N = 315.8616.7215.85MIN: 15.7 / MAX: 16.54MIN: 16.2 / MAX: 20.54MIN: 15.19 / MAX: 16.791. (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-v2CAB0.80781.61562.42343.23124.039SE +/- 0.04, N = 33.593.523.56MIN: 3.55 / MAX: 3.74MIN: 3.43 / MAX: 3.77MIN: 3.52 / MAX: 3.761. (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-v3CAB0.73131.46262.19392.92523.6565SE +/- 0.21, N = 32.983.252.98MIN: 2.93 / MAX: 3.15MIN: 2.96 / MAX: 4.66MIN: 2.94 / MAX: 3.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2CAB0.96981.93962.90943.87924.849SE +/- 0.48, N = 33.384.313.35MIN: 3.29 / MAX: 7.67MIN: 3.32 / MAX: 5.02MIN: 3.31 / MAX: 3.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetABC0.95181.90362.85543.80724.759SE +/- 0.53, N = 34.233.153.15MIN: 3.14 / MAX: 5.36MIN: 3.12 / MAX: 3.38MIN: 3.1 / MAX: 3.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0CAB246810SE +/- 0.05, N = 35.367.985.87MIN: 5.31 / MAX: 5.54MIN: 7.65 / MAX: 8.77MIN: 5.32 / MAX: 7.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceCAB0.37580.75161.12741.50321.879SE +/- 0.02, N = 31.581.671.67MIN: 1.52 / MAX: 1.86MIN: 1.57 / MAX: 2MIN: 1.59 / MAX: 1.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetCAB48121620SE +/- 0.05, N = 312.8413.6512.91MIN: 12.21 / MAX: 13.16MIN: 12.66 / MAX: 14.19MIN: 12.2 / MAX: 24.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16CAB1020304050SE +/- 0.19, N = 341.1444.8841.22MIN: 38.89 / MAX: 41.91MIN: 40.62 / MAX: 52.28MIN: 38.97 / MAX: 41.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18CAB3691215SE +/- 0.02, N = 310.1310.6710.15MIN: 9.56 / MAX: 10.42MIN: 10.06 / MAX: 11.02MIN: 9.65 / MAX: 12.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetCAB246810SE +/- 0.02, N = 37.317.667.32MIN: 6.97 / MAX: 7.54MIN: 7.19 / MAX: 7.98MIN: 6.96 / MAX: 10.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50CAB612182430SE +/- 0.05, N = 322.2623.5122.22MIN: 21.86 / MAX: 28.19MIN: 22.4 / MAX: 24.27MIN: 21.82 / MAX: 22.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyCAB612182430SE +/- 0.22, N = 323.5925.1023.67MIN: 23.29 / MAX: 30.33MIN: 24.42 / MAX: 26.07MIN: 23.36 / MAX: 26.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdCAB48121620SE +/- 0.08, N = 314.7815.8014.80MIN: 14.49 / MAX: 17.41MIN: 15.35 / MAX: 20.36MIN: 14.52 / MAX: 15.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mCAB48121620SE +/- 0.07, N = 313.3514.0013.47MIN: 13.15 / MAX: 13.63MIN: 13.54 / MAX: 24.86MIN: 13.23 / MAX: 14.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerCAB70140210280350SE +/- 3.40, N = 3321.37332.68322.16MIN: 320.02 / MAX: 328MIN: 328.62 / MAX: 346.54MIN: 320.38 / MAX: 331.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: FastestDet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetAB1.26452.5293.79355.0586.3225SE +/- 0.03, N = 35.625.35MIN: 5.41 / MAX: 6.47MIN: 5.24 / MAX: 5.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mobilenetABC3691215SE +/- 0.28, N = 1211.7212.2711.65MIN: 9.53 / MAX: 24.46MIN: 10.89 / MAX: 19.93MIN: 10.75 / MAX: 13.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2ABC0.90451.8092.71353.6184.5225SE +/- 0.14, N = 124.023.893.73MIN: 3.32 / MAX: 6.9MIN: 3.57 / MAX: 4.1MIN: 3.44 / MAX: 3.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3ABC1.11152.2233.33454.4465.5575SE +/- 0.12, N = 124.534.944.25MIN: 3.95 / MAX: 6.26MIN: 4.17 / MAX: 7.32MIN: 4.01 / MAX: 6.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: shufflenet-v2ABC0.68631.37262.05892.74523.4315SE +/- 0.18, N = 123.052.692.57MIN: 2.42 / MAX: 5.3MIN: 2.48 / MAX: 2.99MIN: 2.36 / MAX: 2.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mnasnetABC1.01932.03863.05794.07725.0965SE +/- 0.11, N = 124.084.533.80MIN: 3.57 / MAX: 5.6MIN: 3.68 / MAX: 5.19MIN: 3.6 / MAX: 3.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: efficientnet-b0ABC3691215SE +/- 0.09, N = 129.289.049.03MIN: 8.19 / MAX: 12MIN: 8.85 / MAX: 11.19MIN: 8.83 / MAX: 9.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefaceABC0.26330.52660.78991.05321.3165SE +/- 0.03, N = 121.171.141.14MIN: 0.92 / MAX: 2.06MIN: 0.98 / MAX: 1.52MIN: 0.98 / MAX: 1.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: googlenetABC48121620SE +/- 0.16, N = 1213.3414.5013.69MIN: 10.54 / MAX: 16.98MIN: 12.38 / MAX: 16MIN: 12.06 / MAX: 15.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vgg16ABC1632486480SE +/- 0.28, N = 1272.6773.6370.64MIN: 43.07 / MAX: 78.48MIN: 69.53 / MAX: 74.49MIN: 63.52 / MAX: 71.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet18ABC3691215SE +/- 0.09, N = 1213.1112.8912.81MIN: 11.19 / MAX: 16.64MIN: 12.25 / MAX: 15.33MIN: 12.12 / MAX: 13.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetABC3691215SE +/- 0.02, N = 1210.8011.2610.75MIN: 7.28 / MAX: 13.01MIN: 7.89 / MAX: 13.07MIN: 10.41 / MAX: 11.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50ABC612182430SE +/- 0.32, N = 1223.2623.8021.47MIN: 20.63 / MAX: 26.52MIN: 21.07 / MAX: 25.25MIN: 20.74 / MAX: 24.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: yolov4-tinyABC1530456075SE +/- 3.07, N = 1245.6569.4629.82MIN: 19.69 / MAX: 108.9MIN: 21.1 / MAX: 108.29MIN: 20.72 / MAX: 68.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: squeezenet_ssdABC3691215SE +/- 0.10, N = 1210.0210.589.89MIN: 9.28 / MAX: 40.24MIN: 9.75 / MAX: 12.46MIN: 9.64 / MAX: 10.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: regnety_400mABC246810SE +/- 0.21, N = 126.125.425.42MIN: 5.16 / MAX: 9.07MIN: 5.18 / MAX: 8.31MIN: 4.77 / MAX: 7.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vision_transformer

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vision_transformerABC110220330440550SE +/- 3.55, N = 12508.63509.42489.73MIN: 335.21 / MAX: 1310.95MIN: 386.46 / MAX: 1081.95MIN: 353.26 / MAX: 601.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: FastestDet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetABC1.082.163.244.325.4SE +/- 0.17, N = 124.594.804.33MIN: 3.21 / MAX: 7.11MIN: 4.52 / MAX: 5.04MIN: 4.09 / MAX: 4.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Phoronix Test Suite v10.8.4