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Benchmark_EN.md

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中文版本

How to benchmark

Mac or Linux

# in root directory of MNN
mkdir build
cd build
cmake .. && make -j4

then execute the commmand:

./benchmark.out models_folder [loop_count] [forwardtype]

forwardtype is in these options: 0->CPU，1->Metal，3->OpenCL，6->OpenGL，7->Vulkan. Here are benchmark models: models.

Android

You can directly execute the script bench_android.sh in the benchmark directory. It builds in armeabi-v7a architecture by default, and in arm64-v8a architecture if builds with parameter of arm64-v8a. BenchmarkModels will be pushed to your device if executed with parameter of -p.

benchmark.txt will be generated in benchmark directory after the execution.

iOS

  1. Prepare models with running the script get_model.sh in the tools/scropt;
  2. Open demo project in demo/iOS and run with Benchmark button at right-top edge, you can switch model, forward type and thread number for banchmark with bottom toolbar.

Test Result Of Benchmark

2019-2-18

HUAWEI P10

Build Flags: ABI=arm64-v8a OpenMP=ON Vulkan=ON OpenCL=ON
MNN benchmark
Forward type: **CPU**
Warming up...
--------> Benchmarking... loop = 10
[ - ] vgg16.mnn                 max =  499.545ms  min =  410.570ms  avg =  445.868ms
[ - ] SqueezeNetV1.0.mnn        max =   49.437ms  min =   38.759ms  avg =   43.901ms
[ - ] MobileNetV2_224.mnn       max =   26.139ms  min =   20.400ms  avg =   24.489ms
[ - ] inception-v3.mnn          max =  413.265ms  min =  262.142ms  avg =  306.542ms
[ - ] resnet-v2-50.mnn          max =  240.009ms  min =  152.649ms  avg =  176.075ms
[ - ] mobilenet-v1-1.0.mnn      max =   89.461ms  min =   29.903ms  avg =   41.547ms
MNN benchmark
Forward type: **Vulkan**
Warming up...
--------> Benchmarking... loop = 10
[ - ] vgg16.mnn                 max =  293.156ms  min =  227.952ms  avg =  240.050ms
[ - ] SqueezeNetV1.0.mnn        max =   47.752ms  min =   31.191ms  avg =   37.727ms
[ - ] MobileNetV2_224.mnn       max =   61.352ms  min =   35.874ms  avg =   46.321ms
[ - ] inception-v3.mnn          max =  396.939ms  min =  180.353ms  avg =  349.952ms
[ - ] resnet-v2-50.mnn          max =  214.694ms  min =  100.377ms  avg =  169.003ms
[ - ] mobilenet-v1-1.0.mnn      max =   45.946ms  min =   23.257ms  avg =   33.217ms

MI Max3

Hardware	: Qualcomm Technologies, Inc SDM636

Build Flags: ABI=arm64-v8a OpenMP=ON Vulkan=ON OpenCL=ON
MNN benchmark
Forward type: **CPU**
Warming up...
--------> Benchmarking... loop = 10
[ - ] vgg16.mnn                 max = 1311.661ms  min = 1248.531ms  avg = 1255.455ms
[ - ] SqueezeNetV1.0.mnn        max =  151.955ms  min =   95.348ms  avg =  101.986ms
[ - ] MobileNetV2_224.mnn       max =   94.336ms  min =   50.987ms  avg =   58.299ms
[ - ] inception-v3.mnn          max =  763.095ms  min =  690.005ms  avg =  698.674ms
[ - ] resnet-v2-50.mnn          max =  453.710ms  min =  389.649ms  avg =  396.409ms
[ - ] mobilenet-v1-1.0.mnn      max =  128.781ms  min =   77.023ms  avg =   83.134ms
MNN benchmark
Forward type: **Vulkan**
Warming up...
--------> Benchmarking... loop = 10
[ - ] vgg16.mnn                 max =  783.093ms  min =  730.928ms  avg =  736.894ms
[ - ] SqueezeNetV1.0.mnn        max =   96.435ms  min =   61.809ms  avg =   65.574ms
[ - ] MobileNetV2_224.mnn       max =   71.107ms  min =   43.912ms  avg =   46.925ms
[ - ] inception-v3.mnn          max =  436.363ms  min =  386.338ms  avg =  391.818ms
[ - ] resnet-v2-50.mnn          max =  303.728ms  min =  262.706ms  avg =  267.613ms
[ - ] mobilenet-v1-1.0.mnn      max =   89.119ms  min =   56.216ms  avg =   59.725ms