> For the complete documentation index, see [llms.txt](https://wangwei1237.gitbook.io/digital_video_concepts/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://wangwei1237.gitbook.io/digital_video_concepts/di-gong-hao-ping-tai-shang-de-shi-pin-ying-yong-de-gong-hao/7_7_0_themeasurementoflowpower/7_7_2_mediapowermetrics.md).

# 媒体应用的功耗指标

许多媒体应用程序都具有相同的特征，例如：实时需求，突发数据处理，数据独立性，可并行性。因此，在媒体应用程序中，重要的是测量和跟踪几个与电量有关的指标，以了解系统的行为并找到优化方案。这些指标包括SoC，显示器，稳压器和内存功耗（占全部平台功耗的百分比），CPU内核和CPU的C状态驻留时间，GPU活动和渲染缓存（RC）状态驻留时间，内存带宽等。

由于某些媒体应用程序可能受计算约束，内存约束，I/O约束或其他限制（例如实时期限），因此确定这些因素对功耗的影响可以更好地了解瓶颈和折衷方案。

了解视频的各种参数对功耗的影响非常重要，例如：视频分辨率，码率，帧率和其他参数。同时，了解系统的各种参数对功耗的影响也非常重要，例如：系统频率，散热设计功耗，内存大小，操作系统调度和功耗策略，显示分辨率和显示接口。分析和了解可用的选择可能会揭示如何优化功耗和性能。


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