Specint benchmarks conducted by Anandtech show the A13 going toe-to-toe with the 9900K [0], although x86 still has a decent lead for floating point.

[0] https://www.anandtech.com/show/14892/the-apple-iphone-11-pro... (scroll down to the 2nd last plot, look at the right half)

Do mobile chips focus less on floating point for some reason? Could that explain the seemingly massive difference in perf/watt?

Crypto stuff never uses floating point. It might have built-in instructions like AES-NI, though. In the test geekbench consider that - integers ones[0] and definitely not floating point. Media encoding tend not to use floating point, either. (decoders tend to be built-in in the GPUs with designated hardware, so testing on CPU is quite pointless)

[0]: https://www.geekbench.com/doc/geekbench5-cpu-workloads.pdf

Crypto doesn't do floating point. Media transcoding does SIMD, but not usually not floating point.

Fair enough wrt media. However SIMD e.g. MMX is done in the floating point unit (https://softpixel.com/~cwright/programming/simd/mmx.php)

I thought bitcoin mining was floating point, and that was why GPUs were so adept.

MMX is obsolete.

SSE/AVX has its own set of registers. It can do floating point and integer operations. It would not be correct to refer to it as a floating point unit.

GPUs are good at mining because they can do so many calculations in parallel. They're just as capable of integer operations as the SIMD units on a CPU.

MMX was integer SIMD that re-used the FPU register file, but was not doing floating-point operations.

Most things on iOS tend to be dynamically linked these days.

Yeah, "statically linked" is a bizarre thing to say about iOS. I believe the only statically linked code on iOS is dyld itself. It's not possible to make a statically linked app on iOS, and certainly all the number crunching routines (and compression etc.) are dynamically linked. Maybe geekbench doesn't link them and does it in-process? But you would see the same effect on PCs then.