Compute & Synthetics

Shifting gears, we'll look at the compute and synthetic aspects of the GTX 1660 Ti.

Beginning with CompuBench 2.0, the latest iteration of Kishonti's GPU compute benchmark suite offers a wide array of different practical compute workloads, and we’ve decided to focus on level set segmentation, optical flow modeling, and N-Body physics simulations.

Compute: CompuBench 2.0 - Level Set Segmentation 256

Compute: CompuBench 2.0 - N-Body Simulation 1024K

Compute: CompuBench 2.0 - Optical Flow

On paper, the GTX 1660 Ti looks to provide around 85% of the RTX 2060's compute and shading throughput; for Compubench, we see it achieving around 82% of the latter's performance.

Moving on, we'll also look at single precision floating point performance with FAHBench, the official Folding @ Home benchmark. Folding @ Home is the popular Stanford-backed research and distributed computing initiative that has work distributed to millions of volunteer computers over the internet, each of which is responsible for a tiny slice of a protein folding simulation. FAHBench can test both single precision and double precision floating point performance, with single precision being the most useful metric for most consumer cards due to their low double precision performance.

Compute: Folding @ Home Single Precision

Next is Geekbench 4's GPU compute suite. A multi-faceted test suite, Geekbench 4 runs seven different GPU sub-tests, ranging from face detection to FFTs, and then averages out their scores via their geometric mean. As a result Geekbench 4 isn't testing any one workload, but rather is an average of many different basic workloads.

Compute: Geekbench 4 - GPU Compute - Total Score

In lieu of Blender, which has yet to officially release a stable version with CUDA 10 support, we have the LuxRender-based LuxMark (OpenCL) and V-Ray (OpenCL and CUDA).

Compute/ProViz: LuxMark 3.1 - LuxBall and Hotel

Compute/ProViz: V-Ray Benchmark 1.0.8

We'll also take a quick look at tessellation performance.

Synthetic: TessMark, Image Set 4, 64x Tessellation

Finally, for looking at texel and pixel fillrate, we have the Beyond3D Test Suite. This test offers a slew of additional tests – many of which we use behind the scenes or in our earlier architectural analysis – but for now we’ll stick to simple pixel and texel fillrates.

Synthetic: Beyond3D Suite - Pixel Fillrate

Synthetic: Beyond3D Suite - Integer Texture Fillrate (INT8)

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

The practically identical pixel fill rates for the GTX 1660 Ti and RTX 2060 might seem odd at first blush, but it is an entirely expected result as both GPUs have the same number of ROPs, similar clockspeeds, same GPC/TPC setup, and similar memory configurations. And being the same generation/architecture, there aren't any changes or improvements to DCC. In the same vein, the RTX 2060 puts up a 25% higher texture fillrate over the GTX 1660 Ti as a consequence of having 25% more TMUs (96 vs 120).

 

Total War: Warhammer II Power, Temperature, and Noise
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  • rwsgaming - Friday, February 22, 2019 - link

    Awesome review but you guys always missed the target audience. Lots of gamers are looking for the benchmarks of online games like PUBG, Fortnite, Apex, Overwatch, etc... Reply
  • dezonio2 - Friday, February 22, 2019 - link

    Multiplayer only games are pretty hard to consistently benchmark and get a repeatable results. Reply
  • DominionSeraph - Friday, February 22, 2019 - link

    Anandtech is a highly technical hardware review site, not a pop culture gaming site. The benchmarks are meant to be a highly repeatable, representative sample. Online multiplayer-only games are rarely repeatable run to run due to netcode and load variations, and you can often only run on the latest patch meaning you can't make an apples to apples comparison with older tests. Reply
  • Cooe - Friday, February 22, 2019 - link

    *facepalm* You're not the target audience. AnandTech isn't a gaming website... It's literally in the name lol. (*cough* "Tech" *cough*) Reply
  • Korguz - Friday, February 22, 2019 - link

    rwsgaming
    " but you guys always missed the target audience. Lots of gamers are looking for the benchmarks of online games like PUBG, Fortnite, Apex, Overwatch, etc..."
    none of the games they use for testing.. are ones i play.. so meh... hehehhehe
    Reply
  • 29a - Friday, February 22, 2019 - link

    I started reading this article until the SSD buyers guide video started taking up 1/4 of my screen space after scrolling down a bit. I'll read about the card on a site that doesn't take up so much of my screen space for something I have no interest in. This site sucks so much since Anand sold it. Reply
  • PeachNCream - Sunday, February 24, 2019 - link

    Reading Anandtech without an ad blocker is like banging a hooker without wearing a condom. Reply
  • AustinPowersISU - Friday, February 22, 2019 - link

    So it's a GTX 1070 with 2GB less RAM. The small difference in power consumption can be explained away by having 2 more GB of RAM.

    Go to eBay, buy a 1070 for $200. Smile because you have the same performance, 2GB more RAM, and $80 more in your pocket.
    Reply
  • Oxford Guy - Saturday, February 23, 2019 - link

    Are they really that cheap? Ebay is flooded with absurdly high prices. Every time I see a deal it's already in the sold listing section.

    It's very irritating to deal with Ebay because of this.
    Reply
  • Oxford Guy - Saturday, February 23, 2019 - link

    There are also tons of sellers who don't understand the basics of static electricity. They love to take glamour shots of cards on tables and carpets. Reply

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