This sample project shows how to use the Jetpack Macrobenchmark library.
See the Macrobenchmark guide for more information on the library.
The sample project includes a variety of benchmarks to help getting started with the API.
Learn about Baseline Profile generation with classes in the baselineprofile folder.
You can also explore startup and frame timing metrics.
Further, the baseBenchmarks library offers a drop in benchmarks, which can be used in production apps to get started with macrobenchmarking. You can copy & paste the library, then adjust the package name to match the app under test and see results quickly.
Since AGP 8.0.0 Baseline Profiles can be stored in src/main/baselineProfiles folder.
This sample uses src/main/baselineProfiles to store Baseline Profiles.
With this, more than one profile file can be created, stored and updated.
This makes Baseline Profiles easier to maintain and allows shipping more granular profiles, without
the need to re-generate a full Baseline Profile for minor changes.
Also, baseline profile generators are now in separate classes. One for each user journey and a separate one for app startup.
Open the MacrobenchmarkSample project in Android Studio Bumblebee or later, and run benchmarks as you usually would run tests: Ctrl-Shift-F10 (Mac: Ctrl-Shift-R)
Alternatively, run the benchmarks from terminal with:
./gradlew macrobenchmark:cC
You can report an Issue with the sample using this repository. If you find an issue with the Macrobenchmark library, report it using the Issue Tracker.
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