On any version of Windows, you will find a handful of processes running in the background and actively using system resources even when idle. We can use Task Manager to monitor active processes or programs and if a process slows down the system, we can use the "End Task" feature. Task Manager is used for performance control and it can tell you how much resources background processes are taking up. These system resources include CPU, RAM, GPU and even network bandwidth. If an application is actively using system resources in an idle state, you can use Task Manager's End Task feature to shut down the process. In Windows 11 Build 22557, Microsoft is trying to implement a feature that allows users to limit resource allocation "on a per-app basis." Unlike the End Task feature, which kills processes and can cause unwanted issues, Efficiency Mode will limit processes and minimize disruption to the foreground experience. Image Credit: Microsoft Task Manager's Efficiency Mode reduces the process base priority to Low and sets the QoS mode to EcoQoS. To use this new feature, you need to right-click on any process and select the option as shown in the screenshot below. How Windows 11’s Efficiency Mode Optimizes Processes On Windows, you can run threads according to their scheduling priority. According to Microsoft's updated documentation, all threads have an assigned scheduling priority ranging from zero (lowest priority) to 31 (highest priority). Efficiency mode sets the base priority to "THREAD_PRIORITY_LOWEST" to ensure that they [processes] can be preempted if necessary. ” According to the official documentation, this is done for “background threads, especially those that are processor-intensive.” When you set up multiple processes to consume less resources, Windows will automatically allocate free resources to priority updates based on the situation. High-priority process. "Low priority ensures that this process does not interfere with high-priority processes that users are actively using," Microsoft notes. The role of EcoQoS in Windows 11 CPU optimization The second step of Effiecienly mode calls EcoQoS. Ecological Quality of Service ( The term "EcoQoS" for QoS) level was first introduced in 2021 as an optional feature for developers who want to run certain processes of their applications efficiently to reduce power consumption. If used properly, EcoQoS can Extends battery life and improves energy efficiency, reduces fan noise, and improves thermal throttling. "This new QoS level is valuable for workloads that don't have significant performance or latency requirements," Microsoft explained in a document published last year , allowing them to always run in an energy-saving manner. "When you enable efficiency mode for a process, the Task Manager also triggers EcoQoS to ensure that the process is executed in the most energy-efficient manner. As a result, the processor will be able to run at a lower frequency to save power, improve UI responsiveness, and Thermal footprint of the CPU. Efficiency Mode promises UI responsiveness Microsoft has been testing Efficiency Mode for a year, and the company says the feature can also enable apps or the Start menu to launch on normally "busy" systems. As you can see in the image above, Microsoft has been able to improve the responsiveness of Windows 11 by 14% ~ 76%. According to these documents, the following are the main benefits of integrating Efficiency Mode and EcoQoS into Task Manager: Allow users to manually enable Efficiency Mode (EcoQoS) instead of relying on application development People. Currently, some apps like Microsoft Edge include built-in support for these improvements. Delivers up to 90% reduction in CPU power consumption. Reduces heat and fan noise. Improves performance for concurrent workloads. Reduces thermal throttling. Focus on energy sustainability performance. Currently, Microsoft is focusing on CPU optimization because it only wants to reduce power consumption. In upcoming Windows versions, you can expect similar technology for other system resources such as RAM and even GPU.
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