CPU Performance: Going Even Further Back

If you want specific comparisons to other CPUs, all of the Haswell data is in Bench. I took the liberty of putting together a few charts comparing the 4770K to some key older parts to put its performance in perspective.

SYSMark 2007 - Overall

Adobe Photoshop CS4 - Retouch Artists Speed Test

Cinebench R10 - Single Threaded Benchmark

Cinebench R10 - Multi-Threaded Benchmark

Par2 - Multi-Threaded par2cmdline 0.4

Microsoft Excel 2007 SP1 - Monte Carlo Simulation

WinRAR 3.8 Compression - 300MB Archive

CPU Performance: Five Generations of Intel CPUs Compared Quick Sync Performance
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  • bji - Monday, June 3, 2013 - link

    +10 false dichotomy. Look it up.
  • kenjiwing - Saturday, June 1, 2013 - link

    Any reviews comparing this gen to a 980x??
  • Ryan Smith - Saturday, June 1, 2013 - link

    It's available in Bench.

    http://www.anandtech.com/bench/Product/836?vs=142
  • owikh84 - Saturday, June 1, 2013 - link

    4560K??? Not 4770K & 4670K?
  • karasaj - Saturday, June 1, 2013 - link

    4670K is the Haswell equivalent of a 3570K.
  • hellcats - Saturday, June 1, 2013 - link

    I read with some concern that the TSX instructions aren't going to be available on all SKUs. This is the main thing that I've been looking forward to on Haswell! Not providing the capability across the family is reminiscent of the 486SX/DX debacle. TSX could be huge for game physics as it would allow for far more consistent scaling. I know it is supposed to be backwards compatible, but what's the point of coding to it if it isn't always there?
  • zanon - Saturday, June 1, 2013 - link

    Agreed, TSX is one of the most interesting parts of Haswell so I'm sorry not to see it get more discussion. And as you say (and like with VT-d or other tech) I think Intel is being stupid and self-defeating by trying to make it an artificial differentiator. Unlike general basics of a chip such as clock rate, cache, hyperthreading or raw execution resources these sorts of features are only as valuable as the software that's coded for them, and nothing kills adoption amongst developers like "well maybe it'll be there but maybe not." If they can't depend on it, then it's not worth spending much extra time with and tremendously limits what it can be used for. That principal shows up over and over, it's why consoles can typically hold their own for so long. Even though on paper they get creamed, in reality developers are actually able to aim for 100% usage of all resources because there will never be any question about what is available.

    For features like this Intel should aim for as broad adoption as possible, or what's the point? They can differentiate just fine with pure performance, power, and physical properties. Disappointing as always.
  • penguin42 - Saturday, June 1, 2013 - link

    Agreed! I'd also be interested in seeing performance comparisons with a transactionally optimised piece of code.
  • Johnmcl7 - Saturday, June 1, 2013 - link

    Definitely, I was a bit puzzled reading the review to find barely a mention of TSX when I thought it was meant to be one of the ground breaking new features on Haswell. Even if there was only a synthetic benchmark for now it would be extremely interesting to see if it works anything like as well as promised.

    John
  • bji - Sunday, June 2, 2013 - link

    TSX is so esoteric in its applicability that I think you'd be very hard pressed to a) find a benchmark that could actually exercise it in a meaningful way and b) have any expectation that this benchmark would translate into any actual perceived performance gain in any application run by 99.999% of users.

    In other words - TSX is only going to help performance in some very rare and obscure types of software that "normal" users will never even come close to using, let alone caring about the performance of.

    However I am intruiged by your speculation that TSX will be beneficial for physics simulation, which I guess could translate to perceivable performance increases for software that end users might actually use in the form of game physics. I found a paper that described techniques for using transactional memory to improve performance for physics simulation but it only found a 27% performance increase, which is not exactly earth shattering (I wouldn't call it "huge for game physics" personally).

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