Profile the Performance of AI and ML Mobile Applications on Arm
Introduction
Why should you profile your ML application?
Profile your application with Streamline
Memory Profiling with Android Studio
Profiling the Neural Network
ML Profiling of a LiteRT model with ExecuteNetwork
Review
Next Steps

  Log an issue

  Fork and edit

  Discuss on Discord

What you've learned

You should now know how to:

  • Profile the execution times of ML models on Arm devices.
  • Profile ML application performance on Arm devices.
  • Describe how profiling can help optimize the performance of Machine Learning applications.

Knowledge Check

Streamline Profiling lets you profile:

Does Android Studio have a profiler?

Is there a way to profile what is happening inside your Neural Network?


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