ML Bench for Android

By etinum Free

Screenshots

Developer's Description

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/

Full Specifications

What's new in version 1.4.0.14

General

Release October 2, 2020
Date Added October 2, 2020
Version 1.4.0.14

Operating Systems

Operating Systems Android
Additional Requirements Requires Android 7.0 and up

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Downloads Last Week 0
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