I’m running PhotoLab 2 Elite v2.2.2 build 23730 under Windows 10 64 bits 1809.
My processor is an Intel Core i5-8400 2800 MHz, with 16 Go DDR4 3200 MHz.
My GPU is Gigabyte GeForce RTX 2060 WINDFORCE OC 6G (rev. 2.0).
Unfortunately, when I attempt to activate the OpenCL checkbox in the “Performances” tab, I get this warning : *“Your graphic card seems to be slower than your CPU. Enabling OpenCL may decrease perforlance.”
And then I’m prevented from activating the OpenCL checkbox, and so RAW processing performance remains of course very poor.
Is this situation normal? Do I need to get a better graphics card ?
since today I have an iMac with 580X GPU and wanted to try this. Unfortunately in PhotoLab (PL1) I don’t see a checkbox for GPU acceleration as described in the online help. Is this only available in PhotoLab 2? I still have PL1.
The Open CL and Disable noise reduction preview at zoom levels lower than 75% was present in PL1 for both windows and OSX according to v1 documentation, however, Alec makes a good point. Your hardware (and/or) in conjunction with the OS version and video driver version (if more than one is even available) might not support acceleration. Including being able to enable or disable it. Note I said might, as I have no way of confirming.
Not long ago, I have asked DxO guys about GPU processing and optimisation in general. I wanted to build a dedicated machine just for image processing.
I was told that there is no GPU processing for images and it is used only for previews. There is no optimisation for any CPU, just general SSE4 for example.
DxO struggles with SMP as well - I have old workstation with 2x CPU Xeon with four cores. It is slower than my Apple MBP 2016 with i7 4 cores 2.9GHz because DxO struggles with more CPU.
It can pretty much hog any single CPU with many threads. It rarely matters whether you use 1 image parallel or 4 parallel on 4 physical cores CPU (at least on Mac OS X). It either uses 1CPU with many threads and makes all quicker or it shares resources across the cores and you get slower results.
It would be interesting to get GPU because Apple finally uses eGPU.