This means that a value of 50.3 will be rounded to 50 and a value of 80.7 to 81.

It is not my intention to give an absolutely precise result for each test but to show an approximate value. I also consider it appropriate to tell you that both the result and the improvement values that I show in each test are rounded. In this second case, the measurement contains a small margin of error, since I have done the start and stop of the stopwatch manually. In some cases I have been able to use the time tool to accurately measure times, in others where this has not been possible I have used an external stopwatch. In case the surface showed signs of being hot, I have let it sit until it came back to room temperature.Įach test has been done in isolation, with only the system and its applications running to avoid interferences. The mac has been turned on from its off state. To execute the tests accurately I have observed the following methodology: In the second part, I will run compile tests on different platforms.įinally, in the miscellaneous section I will execute some additional tests. I will do it very briefly and condensed since these types of tests do not always accurately represent the performance of a machine. I am going to divide the tests into three large groups:įirst I will run several synthetic tests. On one hand, we have the old Mac Mini:ĬPU: 8 cores (4 performance cores and 4 efficiency cores)Īnd on the other hand, we have the new Mac Mini, specifically the base model that incorporates the M2 Pro chip:Ĭores: 10 cores (6 performance cores and 4 efficiency cores)

Machine specsīefore we start, let me detail the specifics of the two machines that are going to be tested. I hope the data that you will find in this article will help you understand better the difference between the two devices.

I am going to run all these batteries of tests and give you the performance values on both the old Mac Mini with the M1 chip and the new Mac Mini with the M2 Pro chip.

Android studio m1 mac