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Posted by davidm
 - Today at 14:32:36
Quote from: RobertJasiek on September 26, 2026, 16:38:36It depends on application scenarios! Some (e.g. LLM) need bandwidth - other (e.g. Deep Learning AI) need, e.g., speed of graphics cores - yet other (e.g. large LLM models) also need sufficient volatile storage - other (e.g. office tasks) need none of that.

Fast RAM benefits all those scenarios. In an ideal world, RAM would be at the same speed as the CPU.
Posted by RobertJasiek
 - September 26, 2026, 16:38:36
It depends on application scenarios! Some (e.g. LLM) need bandwidth - other (e.g. Deep Learning AI) need, e.g., speed of graphics cores - yet other (e.g. large LLM models) also need sufficient volatile storage - other (e.g. office tasks) need none of that.
Posted by davidm
 - September 26, 2026, 14:01:49
The interesting comparison is to the M5 Pro, since it has more memory bandwidth. Even the base M6 has twice the bandwidth of typical x86. Barely worth comparing until x86 has woken up after its decades-long sleep.
Posted by Redaktion
 - September 26, 2026, 12:42:29
The latest Apple Mac mini retains its familiar chassis but delivers outstanding single-core and multi-core performance, thanks to the new M6 chip built using the 2NM process, that significantly outpaces the immediate competition from AMD, Intel, and Qualcomm.

https://www.notebookcheck.net/Review-verdict-for-the-Apple-Mac-mini-2026-Enormous-M6-performance-in-a-familiar-chassis.1407650.0.html