| > are not only wrong Yes, Apple's claims are wrong, sometimes comically so, particularly when it comes to performance. Remember when they claimed that GC was many times faster than retain/release? Also wrong. Or their claim that you should use property lists only for smaller data sets, and keyed archiving for larger data sets? Completely wrong, as keyed archiving uses property lists in its implementation, and always generates larger plists than if directly expressed. So a keyed archive is always worse, performance-wise, than an equivalent plist. And so on and so forth. Anyway, I have a whole chapter in my book on this, and the numbers tell the story. I obviously can't reproduce the whole thing here. > but ObjC is somehow faster despite having to do more work. Another misconception. Swift does a lot more work. It then tries to remove that work through optimization efforts, which may or may not succeed. A tiny, somewhat extreme example: Swift allocates local variables on the heap. Not as a frame, but individually. At least initially. Now of course this would make code many orders of magnitude slower, so the optimizer (this is a mandatory pass, run even at -O0) has to remove this if it can. However, this is just an optimization, so as far as I can tell there is no diagnostics if it fails. See https://www.youtube.com/watch?v=Ntj8ab-5cvE Slides: http://llvm.org/devmtg/2015-10/slides/GroffLattner-SILHighLe... Then there is mandatory/invisible ARC, which can and will get you in an inner loop, without visibility, and with not much recourse. Even Chris has admitted that this is a problem they need to fix. And of course generics are implemented via witness tables, so indirect dispatch at roughly similar costs to objc_msgSend(). The compiler may be able to eliminate this. Or not. And so on and so forth. I just saw something about blocks always causing heap allocations (and this is corroborated by an attempt someone made to port some HTTP parsing code from C to Swift. Even with max. optimizations and inline craziness, it was ~3x slower). Or JSON "parsing". The Swift solutions that tend to sit on top of NSJSONSerialization have tended to be an order of magnitude slower than NSJSONSerialization by itself. Which is odd when you consider that NSJSONSerialization uses all the slowest aspects of Objective-C/Foundation: keyed access, heap allocated objects for things that would otherwise be primitives, dictionaries instead of objects (typically 10x slower) etc. Yet Swift on top is 10x slower. The BigNerdRanch's "Freddy" JSON parser tries to rectify those problems by being 100% Swift, without NSJSONSerialization underneath. The result is that it's "only" 4-5x slower than NSJSONSerialization. And again, NSJSONSerialization isn't particularly efficient. I haven't tested the Swift 4 serialization stuff yet, but both from reports I've heard and cursory looks at the implementation, it doesn't look like a speed demon. > Every benchmark I’ve seen shows Swift faster for these reasons. What benchmarks are you looking at?? While it wouldn't be true that I've never seen a Swift advantage, it's pretty close to never. Now there are a lot of unsubstantiated claims that Swift is fast, because "reasons", but benchmarks? |
> A tiny, somewhat extreme example: Swift allocates local variables on the heap. (...)
Have you ever encountered a local variable that spuriously didn't get stack promoted? I haven't. As I said elsewhere, I regularly read the generated code for my hot loops. Also, when profiling with Instruments, I have never been surprised by a heap allocated local variable that didn't escape. I also don't see why stack promotion theoretically would be a less precise analysis then doing it the other way around. I imagine that if the optimizer misses to promote a local variable, it would be a bug in the same way it would be a bug if an escaping local variable spuriously didn't get boxed (for compilers working the other way). Just that it won't fail at runtime, which might increase the potential for undiscovered bugs. But again, have you ever been bitten by this?
> And of course generics are implemented via witness tables, so indirect dispatch at roughly similar costs to objc_msgSend()
Generic types are opportunistically specialized and in my experience, the optimizer has gotten a bit better in that regard. I find that a nice compromise between C++ and, say, Java. You can also influence the optimizer's decision with various not-yet-stable annotations (@specialized, for example). Sure, if you want to write reliably fast generic code in Swift, you need to know a few things. None of the above is possible in Objective-C, though, because of its type system.
> I just saw something about blocks always causing heap allocations (and this is corroborated by an attempt someone made to port some HTTP parsing code from C to Swift. Even with max. optimizations and inline craziness, it was ~3x slower).
If by blocks, you mean closures, then yes, they are heap allocated if they escape. For non-escaping closures, there is always a way to force an inline unless you pass them to compiled third-party code. Cross-module optimization is an area that is still being worked on. Without knowing anything about the code in the benchmark, from your description, it sounds to me that there is unused potential for optimizations, either by making the code more idiomatic and/or by using one or two annotations. Which brings me to my last point.
> What benchmarks are you looking at?? While it wouldn't be true that I've never seen a Swift advantage, it's pretty close to never.
Do you have links? Not that I looked too thoroughly, but I have never encountered a benchmark comparing Swift with Objective-C (or other languages?) that both (1) showed significant worse performance for Swift across the board and (2) that I trust. Most recent code I have seen that does not perform well could fairly easily be improved or would have to be rewritten in more idiomatic Swift. I specifically say most, since there certainly is still room for improvement, but in my experience it is nowhere as bad as your comment suggests.