I doubt that a native version of PixInsight will be THAT much faster, maybe 20% if we're lucky. That's still a notable gain but unless the PI team makes use of the custom processors that are in the Apple silicon the gains will probably be fairly modest. However, I think there is zero chance that they will write custom code just for the Mac (for example, I doubt that they write custom code for anyone's GPUs).
I do know that my M1 MacBook Air runs PixInsight notably faster than my Dell desktop that has a Core i7-7700 @ 3.6GHz (turbo to 4.2GHz) with 24GB RAM and multiple SSDs. But, that Dell is maybe five years old and the differences are not extreme. Geekbench suggests that the M1 should be about 1.5 times as fast as my Dell in multi-core when running native code .
The PI benchmarks for the Core i7-7700 seem to run between 8k to 9k for the CPU (under Windows), while the M1 MacBook Air is somewhere between 10k and 11k. So, if we get an 20% bump with the native version of PixInsight that might mean scores on the M1 MacBook Air in the 12k to 13k range which falls right in line with the 1.5X difference when running Geekbench native. Thus, I think the 20% improvement is probably about right. Seems like that is also what other apps are showing when they go native.
Then, if we assume another gain of 1.5X for the M1 Max and about 2X that for the Ultra we'd get a PixInsight CPU benchmark for native code that should be around 19K for the Max and perhaps in the upper 30Ks for the M1 Ultra. I did note a result that use to be in the PixInsight benchmark results that suggested the M1 Ultra was already at 28K, so again if we scale that by a 20% improvement for going native we'd get around 34K for the CPU portion of the test.