Powercolor RX 6700 XT Hellhound Spectral White review

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GPGPU: Compute render performance

GPGPU: IndigoBench

We start off with Indigo. IndigoBench offers a standalone benchmark application based on Indigo 4's advanced rendering engine, useful for measuring the performance of modern CPUs and GPUs. Due to the use of industry-standard OpenCL, a wide variety of GPUs from NVIDIA, AMD, and Intel are supported. That also means that this title is creating an equal playing field for all brands, as CUDA, for example, is not triggered automatically with GeForce GPUs. If you are looking for a pure 1:1 comparison on OpenCL performance, this render application probably offers the best of the compute arena with OpenCL performance with rendering as workload. We render a Supercar here. Please note that the result set below is based on the reference review and serves as an indication of the performance of cards in the same class.


GPGPU: -  Blender

Blender v2.81a has recently been updated towards build 2.82 and offers a wide variety of options and APIs, depending on your graphics card. We fire off a scene where we render a Classroom - we only allow the GPU to render in the benchmark application. There are API related challenges to address with Blender though:

  • AMD Radeon cards support OpenCL solely
  • NVIDIA GeForce cards up to Pascal support CUDA - but not OpenCL or Optix
  • NVIDIA GeForce RTX cards based on Turing can be assigned CUDA or OptiX - but not OpenCL
In this chart above, we have enabled Optix where it could be enabled, which is the RTX series. Where OptiX is not possible we run CUDA. OpenCL is not available for GeForce cards. The Radeon graphics cards have just the one option, OpenCL. Ergo we choose the fastest API available for the graphics card we test.


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