Synthetic Graphics Performance

Moving on, let’s take a look at the synthetic graphics performance of the Titan V. As this is the first graphics-enabled product using the GV100 GPU, this can potentially give us some insight into the yet-untapped graphics capabilities of the Volta architecture. However the usual disclaimer about earlier drivers and early hardware is very much in effect here: we don’t know for sure how consumer Volta parts will be configured, and in the meantime it’s not clear just how well the Volta drivers have been optimized for graphics.

Synthetic: TessMark, Image Set 4, 64x Tessellation

Right now the graphics aspects of the Volta architecture are something of a black box, and tessellation performance with TessMark reflects this. On Pascal, NVIDIA has one Polymorph engine per TPC; if this is the same on GV100, then Titan V has around 40% more geometry hardware than Titan Xp. On the other hand, the actual throughput rate of Polymorph engines has varied over the years as NVIDIA has dialed it up or down in line with their performance goals and the number of such hardware units available. So for all we know, Titan V’s Polymorph engines don’t pack the same punch as Titan Xp’s.

At any rate, Titan V once again comes away with a win. But the 16% lead is not a day-and-night difference, unlike what we’ve seen with compute.

Beyond3D Suite

Meanwhile for looking at texel and pixel fillrate, we have the Beyond3D Test Suite.

Synthetic: Beyond3D Suite - Pixel Fillrate

Starting with the pixel throughput benchmark, I’m actually a bit surprised the difference is as great as it is. As discussed earlier, on paper the Titan V has lower ROP throughput than the Titan Xp, owing to lower clockspeeds. And yet in this case it’s still in the lead by 18%. It’s not a massive difference, but it means the picture is more complex than naïve interpretation of GV100 being a bigger Pascal. This may be an under-the-hood efficiency improvement (such as compression), or it could just be due to Titan V’s raw bandwidth advantage. This will be worth keeping an eye on once NVIDIA starts talking about consumer Volta cards.

Synthetic: Beyond3D Suite - Integer Texture Fillrate (INT8)

Synthetic: Beyond3D Suite - Floating Point Texture Fillrate (FP32)

As for texel throughput, it’s interesting that INT8 and FP32 texture throughput gains are so divergent. Titan V is showing much greater INT8 texture throughput gains than it is FP32; and Titan Xp was no slouch in that department to begin with. I’m curious whether this is a product of separating the integer ALUs from the FP ALUs on Volta, or whether NVIDIA has made some significant changes to their texture mapping units.

3DMark Fire Strike Ultra

I’ve also gone ahead and run Futuremark’s 3DMark Fire Strike Ultra benchmark on the Titans. This benchmark is a bit older, but it’s a better understood (and better optimized) DX11 benchmark.

Synthetic: 3DMark Fire Strike Ultra (4K) - Graphics Score

The results here find the Titan V in the lead, but not by much: just 8%. Relative to Pascal/Titan Xp, Titan V’s performance advantages and architectural improvements are inconsistent, in as much as not everything has been improved to the same degree. These results point to a bottleneck elsewhere – perhaps the ROPs? – but don’t isolate it. More significantly though, it’s an indication that while Titan V can do graphics, perhaps it’s not well-built (or at least well-optimized) for the task.

SPECViewPerf 12.1.1

Finally, while SPECViewPerf’s component software packages are more for the professional visualization side of the market – and NVIDIA doesn’t optimize the GeForce driver stack for these programs – I wanted to quickly run all of the Titans through the test all the same, just to see what we’d get.

NVIDIA Titan Cards SPECviewperf 12.1 FPS Scores
  Titan V Titan Xp GTX Titan X GTX Titan
3dsmax-05 176.3 173.7 133.1 100.3
catia-04 180.3 181.4 71.3 24.1
creo-01 119.4 122.1 41.0 30.1
energy-01 27.7 21.2 8.7 5.8
maya-04 159.0 152.0 131.6 98.6
medical-01 89.4 91.9 39.9 27.7
showcase-01 175.5 167.0 98.7 67.0
snx-02 223.2 225.3 7.37 4.1
sw-03 110.1 100.7 52.2 41.3

The end result is actually quite interesting. The Titan V only wins a bit more than it loses, as the card doesn’t pick up much in the way of performance versus the Titan Xp. Professional visualization tasks tend to be more ROP-bound, so this may be a consequence of that, and I wouldn’t read too much into this versus anything Quadro (or what a Quadro GV100 card could do). But it illustrates once again how Titan V has improved at some tasks by more than it has in others.

Compute Performance: Geekbench 4, Folding @ Home, & CompuBench Gaming Performance
Comments Locked

111 Comments

View All Comments

  • praktik - Wednesday, December 20, 2017 - link

    Actually probably both XP and V could run 4k Crysis pretty well - do we need 4xssaa @ 4k??
  • Ryan Smith - Wednesday, December 20, 2017 - link

    "do we need 4xssaa"

    If it were up to me, the answer to that would always be yes. Jaggies suck.
  • tipoo - Wednesday, December 20, 2017 - link

    Do they plan on exposing fast FP16 in software? When consumer Volta launches maybe?
  • Ryan Smith - Wednesday, December 20, 2017 - link

    Nothing has been announced at this time.
  • Keldor314 - Wednesday, December 20, 2017 - link

    The part of the article about Volta no longer having a superscalar architecture is incorrect. Although there is only one warp scheduler per SM partition (what do you call those things anyway?), each clock cycles only serves half a warp, so it takes two clock cycles for an instruction to feed into one of the execution pipelines, but during the second cycle, the warp schedular is free is issue a second instruction to one of the other pipelines. IIRC, Fermi did this too.
  • mode_13h - Wednesday, December 27, 2017 - link

    Also, the part about per-thread PC and Stack is misleading. Warps are still executing (or not executing) from a single instruction sequence. The threads within a warp are not concurrently executing different instructions, nor are threads being dynamically shuffled between different warps - at least, not at a hardware level.
  • MrSpadge - Wednesday, December 20, 2017 - link

    > Sure, compute is useful. But be honest: you came here for the 4K gaming benchmarks, right?

    Actually, no: I came for compute, power and voltage.
  • jabbadap - Wednesday, December 20, 2017 - link

    Interesting, so it have full floating point compute capabilities 1*fp64 -> 2*fp32 -> 4*fp16 + Tensor cores. But that half precision is only for CUDA? So no direct3d 12 minimum floating point precision.
  • Native7i - Wednesday, December 20, 2017 - link

    So it looks like V series focused on machine learning and development.
    Maybe rumors are correct about Ampere replacing Pascal...
  • extide - Saturday, December 23, 2017 - link

    Maybe, I mean GP100 was very different than GP102 on down, so they could do the same thing..

Log in

Don't have an account? Sign up now