Speed differences might show up over an extended output run with multiple images. Any possible difference on speed with different layers included or excluded and using or not using the GPUs was impossible to gauge. Output processing took about 2 seconds click to finish. With the heal layer inactive then both GPUs show an active spike in operation and the CPU also shows a spike but lower than when the GPU's are showing nothing happening. With both layers active there seemed to be relatively little GPU activity and most processing seem to be activated via the CPU. I repeated the output a few times with and adjustment layer, the heal layer and the layers in different orders. The recipe as set produces a tiff file for print - the output file is 85Mb. I used a large sample file and added a few (about 20) entirely random heal actions - quite large areas healed. Hardly surprising if it is processing something like 30 frames a minute. Working with video (or, presumably, games that are basically artificial video) one can monitor both GPU devices and observe an apparently far higher work rate. I suspect that the basic assessment for most activities was that the Intel (always used anyway for drawing screen changes made by the applications) and CPU combination was, for the needs I was presenting, the fastest combination anyway. I have noticed on my recently acquired Win10 Notebook with T2000 that even the built in Intel OpenCL processing offers enough performance to be included in the configuration alongside the Quadro, though it took a bit of setting up and reconfiguring to actually get the applications to use the T2000 rather then just the Intel. There is potential for confusion and unexpected results. There are also at least 2 lines in the NVidia driver development that are offering drivers on the same hardware but for different intended purposes. Or even rolling back if the latest driver is installed. It may be worth checking for updated drivers for the GPU.
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