✅ Important notice – NVIDIA RTX / WinML performance and stability improvements with DxO PhotoLab 9.7

[BHAYT (Bryan [WIN10, PL9, VP5, FP7, G9, 5060Ti(16GB), 3060(12GB)])]

@mwsilvers

Ah! Now I understand what you meant. Yes, that drop down list is what many posters have referred to as keywords

@mwsilvers What I refer to as the “Sky” Preset as distinct from a/the Sky selection, effectively a normal object selection, except the object happens to be the sky.

@mwsilvers

Additionally, when I use keywords for AI masking, exports with both DeepPRIME and AI masks very often takes around twice as long

@TorsteinH I have seen this stated by others but I that is not borne out by my tests, far from it.

Using the images I tested and posted above, that was a test using the “Sky” preset we have what I reported before

I repeated that test with another set of test images where I used Sky selection and got

i.e.

Please note that these are X-Trans images and the Noise Reduction is XD3. The machine is my 5900X with 5060Ti(16GB) and the Nvidia drivers are 581.94.

The tests were executed in the reverse order to the way I have now organised them in my directories, i.e. “Sky” preset first and Sky selection second.

[DxOStaff-RESOLVED (DxO Labs)]

NVIDIA RTX / WinML performance and stability improvements with DxO PhotoLab 9.7

Some Windows users experienced performance and stability issues when using AI Masks in DxO PhotoLab.

After several months of close collaboration with NVIDIA and Microsoft, along with extensive testing and benchmarking, DxO PhotoLab 9.7 brings significant improvements to these issues, combining and extending the optimizations introduced in previous updates.

Performance and stability improvements

• On NVIDIA RTX 30xx to 50xx GPUs, DeepPRIME processing is now 14% to 25% faster

• On NVIDIA RTX 20xx

• Memory management has been improved for systems with less than 16 GB of VRAM

• Stability has been significantly improved on Intel GPU configurations

Extended AI acceleration with Windows ML

PhotoLab 9.7 expands Windows Machine Learning (WinML) support to improve performance and compatibility across a wider range of systems:

• Broader OS support:
  • Windows 11 23H2 or later
  • Windows 10 22H2
• Expanded hardware support:
  • NVIDIA RTX 20xx, 30xx, 40xx and 50xx series GPUs
• Automatic activation:
  • This AI processing mode is enabled by default and can be adjusted in the Preferences

These improvements provide faster AI-based processing and improved stability on supported configurations.

Known limitations

Windows ML is not supported on:

• AMD GPUs
• NVIDIA GTX series GPUs (including 10xx)

These configurations will continue to use the standard processing pipeline.