# What's New in Android Bench: 8 New Models and Community Contributions Major update for Android machine learning ecosystem - **Source:** [Android Developers](https://brifing.si/source/80c3e62d-e50a-4662-8a65-cb6caeb76e1c) - **Published:** 2026-07-09 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/3bc152ce-7f79-4100-9d57-53acf30f99c2 ## What is Android Bench? Android Bench is a benchmarking tool designed to measure and compare the performance of machine learning models on mobile devices. It enables developers to analyze model behavior across different hardware configurations. ## 8 New Models Added The latest update introduces 8 new machine learning models to Android Bench. These models offer developers broader testing capabilities across various domains from computer vision to natural language processing. ## New Framework Features The update brings significant improvements to the benchmarking framework, including new measurement metrics, enhanced reporting tools, and more efficient resource utilization to improve developer experience. ## Community Contributions This Android Bench update highlights contributions from the open source community. Optimizations and feature suggestions from developers are helping shape the platform's evolution. ## Mobile ML Development Processes The update provides important benefits for teams developing machine learning applications on mobile devices. Teams can more accurately measure model performance and optimize their products more efficiently. ## Future of Android ML Ecosystem These developments in Android Bench reflect the growth in mobile machine learning. Increasing model diversity and advanced tools are paving the way for more sophisticated AI applications on Android. ## Sources covering this story - https://www.youtube.com/shorts/Jz7kcCnAO50 — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._