By accurately measuring the image quality between two different engines, we can better judge the performance of GPU and CPU rendering. To do this, we must first determine a guideline for image quality that meets the final requirements of the underlying project. For example, when an animation is created, the image quality benchmark is based on render settings that produce a acceptable noise- and flicker-free animation sequences.
The underlying assumption is that users switch from V-Ray Advanced to V-Ray RT GPU.
Comparison of results.
With the IQ value (and the GPU rendering engine) there is now a target that can be adjusted. In order to compare the CPU with the GPU, it was determined how long the GPU engine took to achieve the image quality of the reference value. In a test, the CPU rendering took exactly 19 minutes and 11 seconds to achieve the benchmark image quality, while the graphics card took 3 minutes and 4 seconds in total. Thus, the graphics processor (2688 CUDA cores) was 6.2 times faster than the CPU.
Choosing the right hardware.
Regardless of whether you rely on CPUs or GPUs in your rendering pipeline. You should be thoroughly informed before making a decision and purchasing hardware.
Have you already decided on a rendering engine? Or are you still thinking? If the latter is the case, we recommend that you read the following article.