Icon of program: ML Bench

ML Bench for Android

By etinumFreeUser Rating

Key Details of ML Bench

  • Machine Learning Benchmark Tool (ML Bench) (AI Benchmark Tool)...
  • Last updated on October 2, 2020
  • Virus scan status:

    Clean (it's extremely likely that this software program is clean)


Enlarged image for ML Bench

Developer's Description

Machine Learning Benchmark Tool (ML Bench) (AI Benchmark Tool)...

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)

SideLoad Support:

How to side load your model :

1. Convert your model to tflite (using toco) or dlc (using snpe conversion tool).

2. On your local machine, create [Model Name] directory

3. Copy your model file to the directory created in step 2

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,

"accelerator":"dsp",

5. push [Model Name] directory to the target device using below command

adb push ./[Model Name] /sdcard/Android/data/com.etinum.mlbench/files/models/


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