MLBenchy for Android

11 things about MLBenchy

1. - The target audience is consumers interested to understand the level of performance of the platform and my friends in the online tech press interested to evaluate the future usage models enabled by the progress in machine learning across the platforms.

2. - One of the targeted audience is the online press, they did express the need to have this application available for the general public, as they require to get their own customers to verify the analysis they do about the computing platforms they are writing about.

3. - The app is intended for the general public, to allow them to compare platforms and make an inform decision about the machine learning and architecture capabilities of the platform.

4. This application will help you to make a purchasing decision, it will allow you to compare the new platforms with the previous one, and decide if you want to spend the extra money and upgrade.

5. It is using very common machine learning algorithms and evaluate the level of performance of your device.

6. - The Purpose of the app is to help customers/consumers and programmers to understand the level of performance of the platform.

7. 1st iteration of the benchmark is loading the neuronal network into memory, while running the inference once.

8. Sentiment is a Dictionary based inference, with a string to Double association , Net size is 275KB.

9. MLBenchy is running few neural networks on the platform.

10. - The Application does not requires accounts, it is free to use for anybody without logging.

11. The application is pretty large, around 360MB because it includes 7 of the most commonly used inferences.