![]() ![]() What do you get in return? According to Activity Monitor’s Energy pane: So there’s a big performance hit from constraining that code to the E cores. The results from the two different QoS settings are: To understand what they’re seeing, I used my app AsmAttic to run tests with different numbers of threads at the two extremes of QoS: 9 or ‘background’, which constrains the code to E cores, and the highest of 33, which runs the code preferentially on the P cores until they’re fully loaded, then uses available E cores as well.įor this introductory example, I use 8 threads of floating point maths on an M1 Max (in a Mac Studio), and a tight loop run 1 billion times in each thread. This article explains why, and its message is not to trust Activity Monitor over CPU or Energy figures. In many cases, these appear to demonstrate that running code exclusively on E cores uses more energy, not less. Note that you may need to boot into recovery to repair "Macintosh HD" using Disk Utility as one can usually not repair the partition one is currently running from.As more developers are looking at giving the user control over which cores do the heavy lifting in their apps, when running on M1 Macs, they’re puzzling over contradictory figures given by Activity Monitor. This can be done by booting up into recovery mode - hold the alt/opt button during startup, then select the recovery drive icon this will start the mac from a separate hidden drive partition. There is also the general option to backup your files, format the HD and reinstall the OS which will likely get rid of old junk and bad OS/app settings. status to see if there is any know hardware issue with the physical drive, then use disk first aid to verify/repair the drive and then the partition to see if there are any filesystem issues. Disk Utility displays drives and the partitions of each drive, you will probably have just one drive and one partition (named Macintosh HD). There is also the possibility that the filesystem is corrupted or the HD is going bad. ![]() You may also be able to hear this extra HD activity if you're using a traditional HDD (Hard Disk Drive) rather than a modern SSD (Solid State Drive), the later is silent as it contains no moving parts. High VM usage is usually noticed by slow downs when switching between memory hungry apps and by the increased number of "spinning beach balls" and pauses when doing certain memory hungry actions in apps. Multiple GB of Swap used may also be a indication. You should secondly look at memory usage, on more recent OS version there will be a Memory Pressure graph that shows if apps are using up to much RAM forcing the VM (Virtual Memory) to simulate extra RAM by swapping RAM content to and from the much slower HD (Harddrive). ![]() High CPU usage will result in heavy fan usage which should be audible.ĭusty or clogged fans could also be a reason for a laptop to run badly - being slow or getting forcefully turned off due to overheating. You may also see kernel_task using a lot of CPU, this will apparently occur when the OS decides to slow down a overheating CPU, this percentage will then be the amount of work NOT done. Apps that are not properly multi-core aware will therefore max out at close to 100%. The total CPU capacity is 100% * number of CPU cores (usually 1-4). You should usually only see apps you started as using a lot of CPU although you may occasionally see some other OS processes doing some work. Things can run slow for a number of reasons, start with looking for any apps/processes that use a lot of "% CPU". ![]()
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