M2's Neural Engine had 15TOPS, M3's 18TOPS (+20%) vs. M4's 38TOPS (+111%). In transistor counts, M2 had 20BTr, M3 25BTr (+25%) and M4 has 28BTr (+12%). M2 used TSMC N5P (138MTr/mm2), M3 used TSMC N3 (197MTr/mm2, +43%) and M4 uses TSMC N3E (215MTr/mm2, +9%).[1][2] [1] https://en.wikipedia.org/wiki/5_nm_process#%225_nm%22_proces... [2] https://en.wikipedia.org/wiki/3_nm_process#%223_nm%22_proces...
The most interesting aspect of the M4 is simply it's debuting on the iPad lineup, whereas historically it's always been on the iPhone (for A-series) and Macbook (for M-series). Makes sense given low expected yielded for the newest node for one of Apple's lower volume products.
For the curious, the original TSMC N3 node had a lot of issues plus was very costly so makes sense to move away from it: https://www.semianalysis.com/p/tsmcs-3nm-conundrum-does-it-e...