GTX 580: 585M transistors
GTX 680: 3.5B transistors
GTX Titan: 7.1B transistors
GTX 980: 5.2B transistors
GTX Titan X: 8B transistors
Core i7-5930k: 2.6B transistors
What the data above suggests to me is that relying solely on Moore's Law to predict performance is a fool's errand. Going forward, process transitions are obviously slowing down and IMO victory will go to those who make the best use of the available transistors. Just like programmers who make the best use of the caches and registers in these processors get dramatically better performance than those who can't be bothered to even think about such things.
Intel's business strategy of backwards-compatibility is a giant albatross for them here in that they spend a lot of transistors on this, but clearly otherwise profitable.
In contrast, while GPUs are mostly backwards-compatible, they usually oops I meant nearly always oops I meant always need some refactoring to hit close to peak performance. But that usually leads to ~2x performance improvements per generation so far.
Whenever someone complains about having to do this I ask them if they prefer this over hand-coded assembler inner loops for maximally exploiting SSE/SSE2/SSE3/SSE4/AVX2/AVX512? Usually, I get some dismissive remark about leaving that to the compiler. Good luck with that plan IMO.