The NVIDIA GeForce GTX 1080 & GTX 1070 Founders Editions Review: Kicking Off the FinFET Generation
by Ryan Smith on July 20, 2016 8:45 AM ESTBattlefield 4
One of the older games in our benchmark suite, DICE’s Battlefield 4 remains a staple of MP gaming. Even at its age, Battlefield 4 remained a challenging game in its own right, as very few mass market MP shooters push the envelope on graphics quality right now. As these benchmarks are from single player mode, based on our experiences our rule of thumb here is that multiplayer framerates will dip to half our single player framerates, which means a card needs to be able to average at least 60fps if it’s to be able to hold up in multiplayer.
As a game that has traditionally favored NVIDIA, Battlefield 4 makes for a very clean sweep of the field. The GTX 1080 takes top honors with the GTX 1070 some distance behind it. Notably, the two Pascal cards become the first cards to cross 60fps at 4K, which means that they’re the first cards we can be reasonably sure won’t have framerate dips below 30fps in multiplayer.
Looking at our standard generational comparisons, both GTX 1080 and GTX 1070 improve upon their predecessors by about what we’d expect; 67% and 58% respectively. Or to see how GTX 1080 and GTX 1070 compare, we find that the GTX 1080 leads its cut-down sibling by between 20% and 25%, with the gap increasing with the resolution. This is consistent with what we know about GTX 1080, as its bandwidth advantage means that it’s going to have an easier time pushing pixels at 4K, as the case is here.
Finally, to check in on the GTX 680, we find the GTX 1080 has only improved in performance by 2.8x, which is actually a bit less of a gain than the average. None the less we’ve gone from a card that can’t quite muster 1080p with 4xMSAA to a card that can easily handle 4K without any MSAA.
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Robalov - Tuesday, July 26, 2016 - link
Feels like it took 2 years longer than normal for this review :Dextide - Wednesday, July 27, 2016 - link
The venn diagram is wrong -- for GP104 it says 1:64 speed for FP16 -- it is actually 1:1 for FP16 (ie same speed as FP32) (NOTE: GP100 has 2:1 FP16 -- meaning FP16 is twice as fast as FP32)extide - Wednesday, July 27, 2016 - link
EDIT: I might be incorrect about this actually as I have seen information claiming both .. weird.mxthunder - Friday, July 29, 2016 - link
its really driving me nuts that a 780 was used instead of a 780ti.yhselp - Monday, August 8, 2016 - link
Have I understood correctly that Pascal offers a 20% increase in memory bandwidth from delta color compression over Maxwell? As in a total average of 45% over Kepler just from color compression?flexy - Sunday, September 4, 2016 - link
Sorry, late comment. I just read about GPU Boost 3.0 and this is AWESOME. What they did, is expose what previously was only doable with bios modding - eg assigning the CLK bins different voltages. The problem with overclocking Kepler/Maxwell was NOT so much that you got stuck with the "lowest" overclock as the article says, but that simply adding a FIXED amount of clocks across the entire range of clocks, as you would do with Afterburner etc. where you simply add, say +120 to the core. What happened here is that you may be "stable" at the max overclock (CLK bin), but since you added more CLKs to EVERY clock bin, the assigned voltages (in the BIOS) for each bin might not be sufficient. Say you have CLK bin 63 which is set to 1304Mhz in a stock bios. Now you use Afterburner and add 150 Mhz, now all of a sudden this bin amounts to 1454Mhz BUT STILL at the same voltage as before, which is too low for 1454Mhz. You had to manually edit the table in the BIOS to shift clocks around, especially since not all Maxwell cards allowed adding voltage via software.Ether.86 - Tuesday, November 1, 2016 - link
Astonishing review. That's the way Anandtech should be not like the mobile section which sucks...Warsun - Tuesday, January 17, 2017 - link
Yeah looking at the bottom here.The GTX 1070 is on the same level as a single 480 4GB card.So that graph is wrong.http://www.hwcompare.com/30889/geforce-gtx-1070-vs...
Remember this is from GPU-Z based on hardware specs.No amount of configurations in the Drivers changes this.They either screwed up i am calling shenanigans.
marceloamaral - Thursday, April 13, 2017 - link
Nice Ryan Smith! But, my question is, is it truly possible to share the GPU with different workloads in the P100? I've read in the NVIDIA manual that "The GPU has a time sliced scheduler to schedule work from work queues belonging to different CUDA contexts. Work launched to the compute engine from work queues belonging to different CUDA contexts cannot execute concurrently."marceloamaral - Thursday, April 13, 2017 - link
Nice Ryan Smith! But, my question is, is it truly possible to share the GPU with different workloads in the P100? I've read in the NVIDIA manual that "The GPU has a time sliced scheduler to schedule work from work queues belonging to different CUDA contexts. Work launched to the compute engine from work queues belonging to different CUDA contexts cannot execute concurrently."