GRID Autosport

For the racing game in our benchmark suite we have Codemasters’ GRID Autosport. Codemasters continues to set the bar for graphical fidelity in racing games, delivering realistic looking environments with layed with additional graphical effects. Based on their in-house EGO engine, GRID Autosport includes a DirectCompute based advanced lighting system in its highest quality settings, which incurs a significant performance penalty on lower-end cards but does a good job of emulating more realistic lighting within the game world.

GRID Autosport - 3840x2160 - Ultra Quality

GRID Autosport - 2560x1440 - Ultra Quality

As was the case with all of our other games so far, our racing benchmark of choice does no better in separating the two GM200 cards, with GTX 980 Ti yet again trailing GTX Titan X by no more than 3%. Even with everything cranked up to max, the GTX 980 Ti makes easy work of GRID at 4K, hitting 70.6fps at 4K Ultra and making it the cheapest card to crack 60fps. This also continues to be a solid lead for the GTX 980 Ti over the GTX 980 and GTX 780, beating the two cards by 28% and 76% respectively at 4K.

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  • xenol - Monday, June 1, 2015 - link

    Transistor count means nothing. The GTX 780 Ti has 2.8 billion transistors. The GTX 980 has around 2 billion transistors, and yet the GTX 980 can dance with the GTX 780 Ti in performance.

    As the saying goes... it's not the size that matters, only how you use it.
  • Niabureth - Monday, June 1, 2015 - link

    Don't want to sound like a messer schmitt but thats 2,8K cuda cores for GK110, and 2K for the GM204. The GK110 has 7.1 billion transistors.
  • jman9295 - Tuesday, June 2, 2015 - link

    In this very article they list the transistor count of those two cards in a giant graph. The 980 has 5.2 billion transistors and the 780ti 7.1 billion. Still, your point is the same, they got more performance out of less transistors on the same manufacturing node. All 28nm means is how small the gap is between identical components, in this case the CUDA cores. Each Maxwell CUDA is clearly more efficient than each Kepler. Also helping is the double VRAM size which probably allowed them to also double the ROP count which greatly improved transistor efficiency and performance.
  • Mithan - Sunday, May 31, 2015 - link

    It matters because we are close to .16/20nm GPU's, which will destroy these.
  • dragonsqrrl - Sunday, May 31, 2015 - link

    "we are close to .16/20nm GPU's"

    People said the same thing when the 750Ti launched. I'll give give you one thing, we are closer than we were, but we are not "close".
  • Kevin G - Monday, June 1, 2015 - link

    The difference now is that there are actually 20 nm products on the market today, just none of them are GPUs. It seems that without FinFET, 20 nm looks to be optimal only for mobile.
  • felicityc - Tuesday, January 11, 2022 - link

    What if I told you we are on 8nm now?
  • LemmingOverlord - Monday, June 1, 2015 - link

    @SirMaster - The reason people care about the process node is because that right now - in mid-2015 - this is an extremely mature (ie: old but well-rehearsed) manufacturing process, which has gone through several iterations and can now yield much better results (literally) than the original 28nm process. This means that it's much cheaper to produce because there are less defective parts per wafer (ie: higher yield). Hence ComputerGuy2006 saying what he said.

    Contrary to what other people say "smaller nm" does NOT imply higher performance. Basically when a shrink comes along you can expect manufacturers to do 1 of two things:

    a) higher transistor count in a similar die size, with similar power characteristics when compared to its ancestor - and therefore higher performance
    b) same transistor count in a much smaller die size, therefore better thermals/power characteristics

    Neither of these factor in architectural enhancements (which sometimes are not that transparent, due to their immaturity).

    So ComputerGuy2006 is absolutely right. Nvidia will make a killing on a very mature process which costs them a below-average amount of money to manufacture.

    In this case Nvidia is using "defective" Titan X chips to manufacture 980 Ti. Simple as that. Their Titan X leftovers sell for $350 less and you still get almost all the performance a Titan would give you.
  • royalcrown - Wednesday, June 3, 2015 - link

    I take issue with point b) " same transistor count in a much smaller die size, therefore better thermals/power characteristics"

    I disagree because the same die shrink can also cause a rise in power density, therefore WORSE characteristics (especially thermals).
  • Gasaraki88 - Monday, June 1, 2015 - link

    Smaller nm, bigger e-peen.

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