公开(公告)号：US11662796B2

公开(公告)日：2023-05-30

申请号：US16178307

申请日：2018-11-01

申请人： Apple Inc.

发明人： Abhinav Pathak ,  Amit K. Vyas ,  Albert S. Liu ,  Conor J. O'Reilly ,  Anand Ramadurai ,  Craig M. Federighi ,  Aakriti Mittal ,  Daniel J. Etter ,  Tianhe Wu ,  Patrick L. Coffman ,  Nicholas D. Felton

IPC分类号： G06F1/3212 ,  G06F1/3234 ,  G06F11/30 ,  G06F11/34 ,  G06F3/04817 ,  G06F3/0482

CPC分类号： G06F1/3212 ,  G06F1/3265 ,  G06F3/0482 ,  G06F3/04817 ,  G06F11/30 ,  G06F11/302 ,  G06F11/3072 ,  G06F11/34 ,  G06F11/3409 ,  G06F11/3013

摘要： 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.

公开(公告)号：US20220229758A1

公开(公告)日：2022-07-21

申请号：US17713169

申请日：2022-04-04

申请人： APPLE INC.

发明人： Amit K. Vyas ,  Abhinav Pathak ,  Anthony R. Newnam ,  Phillip J. Azar ,  Ashish Patro ,  Prajakta S. Karandikar ,  Daniel J. Etter ,  Conor J. O'Reilly ,  Andreas C. Bergen ,  Nehal Bhandari ,  Jeffrey S. Lale ,  Andrew P. Sakai ,  Terrence R. Long ,  Soren C. Spies

IPC分类号： G06F11/34 ,  G06F9/54 ,  G06F16/906 ,  G06F16/904 ,  G06F17/18 ,  G06K9/62 ,  G06F11/36

摘要： 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.

公开(公告)号：US11036610B2

公开(公告)日：2021-06-15

申请号：US16671093

申请日：2019-10-31

申请人： Apple Inc.

发明人： Amit K. Vyas ,  Abhinav Pathak ,  Anthony R. Newnam ,  Phillip J. Azar ,  Ashish Patro ,  Prajakta S. Karandikar ,  Daniel J. Etter ,  Conor J. O'Reilly ,  Andreas C. Bergen ,  Nehal Bhandari ,  Jeffrey S. Lale ,  Andrew P. Sakai ,  Terrence R. Long ,  Soren C. Spies

IPC分类号： G06F11/34 ,  G06F9/54 ,  G06F16/906 ,  G06F16/904 ,  G06F17/18 ,  G06K9/62 ,  G06F11/36

摘要： 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.

公开(公告)号：US20200379878A1

公开(公告)日：2020-12-03

申请号：US16671093

申请日：2019-10-31

申请人： Apple Inc.

发明人： Amit K. Vyas ,  Abhinav Pathak ,  Anthony R. Newnam ,  Phillip J. Azar ,  Ashish Patro ,  Prajakta S. Karandikar ,  Daniel J. Etter ,  Conor J. O'Reilly ,  Andreas C. Bergen ,  Nehal Bhandari ,  Jeffrey S. Lale ,  Andrew P. Sakai ,  Terrence R. Long ,  Soren C. Spies

IPC分类号： G06F11/36

摘要： 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.