NVIDIA RTX Rendering Related Benchmarks
Next, we wanted to get a sense of the rendering performance of the NVIDIA RTX. We are in the process of expanding this section with new tests. We are still re-running some of the new benchmarks on previously reviewed GPUs like the GeForce RTX 2080 Ti but have several comparison points here.
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.
This is another case where the NVIDIA Titan RTX dominates this benchmark, although we have not run the benchmark on the RTX 2080 or RTX 2080 Ti yet.
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.
In Cinema4D R20, the NVIDIA Titan RTX again is the fastest card by a large margin.
OctaneRender from Otoy is an unbiased GPU renderer using the CUDA API. The latest release, OctaneRender 4, introduces support for out of core geometry. Octane is available as a standalone rendering application, and a demo version is available for downloaded from the OTOY website here.
The NVIDIA RTX simply blows away the other tested cards in OctaneRender, including some of the RTX cards like the NVIDIA GeForce RTX 2070. We will re-visit this in a future review when we test this on the RTX 2080 Ti again.
Redshift is GPU-accelerated renderer with production-quality. A Demo version of this benchmark can be found here.
Performance of the Titan RTX is at the top of our results; Redshift is a very demanding benchmark, and the Titan RTX chews through this with ease.
Next, we will have 3DMark results before moving onto deep learning benchmarks followed by power consumption, thermals, and our final thoughts.