config.arm64_v8a

config.xxxhdpi

config.en

Everyone

etinum

Oreo

Machine Learning Benchmark Tool (ML Bench) (AI Benchmark Tool)
Supported models :
 - MobileNet v1
 - MobileNet v2 
 - Inception v3
 - Resnet v2 50
 - SSD Mobilenet v1 (Object Detection)
Supported runtime :
 - Tensorflow Lite
 - Tensorflow Mobile
 - Android NN
 - SNPE (for Qualcomm)
 - PyTorth
 - TVM
How to side load your model :
1. Prepare your model file (supported types are tflite, pytorch, tvm, dlc)
2. On your local machine, create [Model Name] directory
3. Copy your model file to the [Model Name] directory
4. Create a file called meta-data.json in the [Model Name] directory
    example of meta-data.json :
    {
        "xres" : 299,
        "yres" : 299,
        "depth" : 3,
        "input_type" : "float",
        "output_type" : "float",
        "input_name" : "input:0",
        "output_name" : "InceptionV3/Predictions/Reshape_1:0",
        "image_mean" : 0,
        "image_std" : 0,
        "label_offset": 1
    }
    * you can also set your own label, ground truth and image files
    {
        ...
        "labels": "my_labels.txt",
        "ground_truth": "my_ground_truth.txt",
        "image_path": "my/path/to/images",
        ...
    }
    
5. push [Model Name] directory to your device using below command
   
   adb push ./[Model Name]  /sdcard/Download/MlBenchModels/

ML Bench

ML Bench legújabb verziója

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