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ML Bench on Windows Pc

Developed By: etinum

License: Free

Rating: 5,0/5 - 1 votes

Last Updated: April 18, 2024

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 1.7.0.25
Size 370.1 MB
Release Date December 12, 23
Category Tools Apps

App Permissions:
Allows an application to read from external storage. [see more (6)]

What's New:
Adnroid 12 support [see more]

Description from Developer:
Machine Learning Benchmark Tool (ML Bench) (AI Benchmark Tool)

Supported models :
- MobileNet v1
- MobileNet v2
- Inception v3
- Resnet v2 50
- SSD Mobilenet v1 (Object Dete... [read more]

App preview ([see all 5 screenshots])

App preview

About this app

On this page you can download ML Bench and install on Windows PC. ML Bench is free Tools app, developed by etinum. Latest version of ML Bench is 1.7.0.25, was released on 2023-12-12 (updated on 2024-04-18). Estimated number of the downloads is more than 1,000. Overall rating of ML Bench is 5,0. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 1 users, 1 users had rated it 5*, 1 users had rated it 1*.

How to install ML Bench on Windows?

Instruction on how to install ML Bench on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install ML Bench on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

Step By Step Guide To Install ML Bench using BlueStacks

  1. Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
  2. Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
  3. Once installed, click "ML Bench" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install ML Bench on Windows PC using NoxPlayer

  1. Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
  2. Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
  3. The installation process will take place quickly. After successful installation, you can find "ML Bench" on the home screen of NoxPlayer, just click to open it.

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Download older versions

Other versions available: 1.7.0.25.

Download ML Bench 1.7.0.25 on Windows PC – 370.1 MB

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/
Adnroid 12 support
Allows an application to read from external storage.
Allows an application to write to external storage.
Allows applications to open network sockets.
Allows applications to access information about networks.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.
Allows an application to receive the ACTION_BOOT_COMPLETED that is broadcast after the system finishes booting.