Not sure what you implied by "rate" here. There are far too many parameters to tweak to determine a "what is an inaccuracy" via a chess engine.
For example, if you let Houdini spend 10 seconds per move on a decent i3 laptop analyzing a GM vs. GM game, you'd see inaccuracies as shown in the eval. graph below:
(where the Y-axis is the engine evaluation score, X being the moves)
One could argue that ALL of Capa's "down-slope" shifts are inaccuracies. In other words, any time the GM deviated from what an engine deemed best was inaccurate?
Is this what you implied?
If you compared this to an eval. graph of two intermediate (1400-1600) players playing each other, you'd have something like this:
Here the # of big up/down slopes signify far more than just plain inaccuracies ... it is blunder city!
It would be cool if somebody statistically analyzed all the games in a GM megabase to see who were the most accurate/inaccurate were ... though I imagine that is a tough task to perform given that it would be hard to "standardize" the results for a given combination of engine + hardware + analysis parameters.
Does anyone know what the range of inaccuracy rate (as assessed by computer) is for GMs? My understanding is that they are present in almost all games, but I have no idea whether they occur a few or many times in a typical game.
I am curious to know how the frequency of inaccuracies (and mistakes and blunders too) vary with FIDE rating.