Is nobody going to ask the question: if a wafer is $20k and it's a 3mm process, how many chips ARM will be on that wafer? General estimates are fine.
Depends upon whose die.
DIE YIELD CALCULATOR Use this online calculator to figure out die yield using Murphy’s model. You’ll need to know the die size, wafer diameter, and defect density. iSine is your complete resource for ASIC design – from concept to manufacturing and testing. We have expertise in system...
isine.com
<total dies > ( <defect free> <gross yield %> )
A12 -- 83mm^2 ( 9.89 x 8.42 )
300mm wafer , 0.2 #/sq cm defect rate --> 703 ( 597 85% )
A14 -- 88mm^2 (estim 9.45 x 9.35 )
300mm wafer , 0.2 #/sq cm defect rate --> 661 ( 556 84% )
A15 -- 108mm^2 (estim 10.5 x 10. 3 )
300mm wafer , 0.2 #/sq cm defect rate --> 536 ( 433 81% )
A16 -- ( about the same as A16, slightly bigger ) ( estim 10.7 x 10.3 )
300mm wafer , 0.2 #/sq cm defect rate --> 520 ( 418 80% )
M1 -- 119 mm^2 ( 10.99 x 10.96 )
300mm wafer , 0.2 #/sq cm defect rate --> 479 ( 378 79% )
M2 -- 142mm^2 ( estim 12 x 11.8 )
300mm wafer , 0.2 #/sq cm defect rate --> 404 ( 306 76% )
Snapdragon 855 -- 74 mm^2 ( 8.42 x 8.64 )
300mm wafer , 0.2 #/sq cm defect rate --> 808 ( 700 87% )
Snapdragon 8cx -- 113 mm^2 ( 8.3 x 13.5 )
300mm wafer , 0.2 #/sq cm defect rate --> 516 ( 414 80% )
Intel skylake 4+2 -- 122mm^2 ( 9.19 x 13.31 )
300mm wafer , 0.2 #/sq cm defect rate --> 471 ( 371 79% )
M1 Max --- ~452mm^2 (19.96 x 22.66 )
300mm wafer , 0.2 #/sq cm defect rate --> 114 ( 49 43% )
A several of those came from this page.
Qualcomm 7nm Snapdragon 8cx chip area estimation - comparable to Intel's 14nm chip
www.gizchina.com
One 'gap' between Apple and Qualcomm and MediaTek SoC is often the amount of die that Apple throws at the their solution versus the area limitation that the hold themselves too. Qualcomm's laptop targeted SoC 8cx is in similar ballpark to the A16 ( granted A16 is waaaaaaaaay off the norms for iPhone chip size. ) Apple needs N3 because the A16 bloated about as big as it can get. Apple needs to implement what they got ... smaller.
That isn't driven by Apple being "richers" or having more money. That is entirely driven by Apple sucking more money out of their customer's pockets. It isn't Apple's money.
Similar issues with whatever "chiplet" Apple wants to use for Ultras ( and above). They need smaller more than some feature war checkbox. [ the yield percentage there is as 'horrible' as it looks. Flip off some broken CPU and/or GPU cores and have a working die to sell. As long as can sell it then make money. ]
Something that is A14 88mm^2 sized then 20K/556 cost basis of about $36/die. That is not the end of the world if Apple is charging arounf $80-90 for the die.
Something that is M1 119mm^2 sized then 20K/378 cost basis of about $53/die . Again if can charge $110 for the die... far , far ,far from the end of the world.
M2 142mm^2 sized then 20K/306 ... $66 . Still if billing at $110 still profitable but it is eating into margins.
M1 Max 452mm^2 sized then 20K/49 is costs basis of $408 but if charging $800 for it... not particularly a margin problem.
if could shrink the 452mm^2 die to so got 65 dies/wafer that would knock cost basis down to $307. If Apple only has access to a fixed sized allocation of total wafers, then getting the 'large' M-series dies smaller helps a lot. And far more than chasing maximum Geekbench scores.
P.S. Similarly if trimmed off the UltraFusion connector that is useless for the laptop deployment of the M1 Max could get 3-5 more dies per wafer. Which over 10,000 wafers is another 30-50K dies. (and chopping overhead expense of $2.00M [ fixed missing decimal] )