EVGA GeForce GTX 1660 Ti XC Black Review Powerful and Small GPU

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EVGA GeForce GTX 1660 Ti XC Black Rendering Related Benchmarks

Next, we wanted to get a sense of the rendering performance of the EVGA GeForce GTX 1660 Ti XC Black.

Arion v2.5

Arion Benchmark is a standalone render benchmark based on the commercially available Arion render software from RandomControl. The benchmark is GPU-accelerated using NVIDIA CUDA. However, it’s unique in that it can run on both NVIDIA GPUs and CPUs.

Download the Arion Benchmark from here. First-time users will have to register to download the benchmark.

EVGA GTX1660 Ti XC Black Arion
EVGA GTX1660 Ti XC Black Arion

This is another case where the EVGA GeForce GTX 1660 Ti XC Black passing GTX 1080 performance, although slightly.

MAXON Cinema4D 3D

ProRender is an OpenCL based GPU renderer which is available in MAXON’s Cinema4D 3D animation software. A fully functional 42-day trial version is available for downloaded from the MAXON website here. Note: Even after expiration, the trial can still be used to measure render times.

EVGA GTX1660 Ti XC Black Cinema4D
EVGA GeForce GTX 1660 Ti XC Black Cinema4D

In Cinema4D R20, the EVGA GeForce GTX 1660 Ti XC Black performed very well, again passing the GTX 1080 and RTX 2060 performance.

Redshift v2.6.32

Redshift is GPU-accelerated renderer with production-quality. A Demo version of this benchmark can be found here.

EVGA GTX1660 Ti XC Black Redshift
EVGA GeForce GTX 1660 Ti XC Black Redshift

Performance of the EVGA GeForce GTX 1660 Ti XC Black is at the bottom of our results, Redshift is a very demanding benchmark.

Next, we will have 3DMark results before moving onto power consumption, thermals, and our final thoughts.

2 COMMENTS

  1. I think your Radeon Pro WX 8200 load power consumption might be wrong. Maybe you misplaced a 1 and it’s actually 194.6W?

  2. I am guessing that WX8200 is actually really low in power usage. On linux the driver that I used reported around 100W, max that I have seen was 120W, but in general it hovers around 90W for OpenCL tasks.

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