Apple Inc.

Daniel J Etter

Amit K Vyas

Abhinav Pathak

Conor J O'Reilly

Patrick L Coffman

Craig Michael Federighi

Nicholas D Felton

Anand Ramadurai

Albert S Liu

Anthony R Newnam

Prajakta S Karandikar

Tianhe Wu

Phillip J Azar

Ashish Patro

Andreas C Bergen

Soren C Spies

Aakriti Mittal

Nehal Bhandari

Jeffrey S Lale

Andrew P Sakai

Terrence R Long

Conor J O'REILLY

In some embodiments, an electronic device displays one or more representations of power usage of the electronic device, including across various periods of time and subperiods of time within those periods. In some embodiments, the displayed information reflects power usage both for periods of the display being on and periods of the display being off. In some embodiments, the displayed information includes power usage attributed to various mobile applications running on the electronic device. In some embodiments, the electronic device displays recommendations to reduce the usage of power by the electronic device, which a user has the option of applying. In some embodiments, the electronic device displays prose insight into power usage, indicating causes of the power usage.

User interfaces for indicating battery information on an electronic device

Embodiments of the present disclosure present devices, methods, and computer readable medium for techniques for measuring operational performance metrics, and presenting these metrics through an application programming interface (API) for developers to access for optimizing their applications. Exemplary metrics can include central processing unit or graphics processing unit time, foreground/background time, networking bytes (per application), location activity, display average picture luminance, cellular networking condition, peak memory, number of logical writes, launch and resume time, frame rates, and hang time. Regional markers can also be used to measure specific metrics for in application tasks. The techniques provide multiple user interfaces to help developers recognize the important metrics to optimize the performance of their applications. The data can be normalized over various different devices having different battery size, screen size, and processing requirements. The user interfaces can provide an intelligent method for visualizing performance changes for significant changes in application versions.

Logging techniques for third party application data

Growing community of inventors

Mountian View, CA, United States of America

Daniel J Etter