PS/ with your GPU you should expect about 1" per 2Mpx, meaning that exporting an image of 20Mpx shouldn’t be longer than 10-12". Of course, with a more powerful graphic card, you’ll be able to export your images even faster. Have a look at the two links posted above.
My camera shoots 36mp images and when applying DeepPrime it takes around 13 seconds to process a high ISO image with preferences Auto. I have a Nvidia 1660ti and a latest i7 running windows 10. How many mp are you processing?
With a Radeon VII on Mojave, I get about twelve to fifteen seconds for D850 ISO 16000 images (45 MP). That’s 1 second per 2 to 4 MP. The lower count is for images which have been somewhat cropped, reducing the MP count. So 3 MP per second. Very impressive, in comparison to the more than one minute per image, sometimes close to two which Prime under Photolab 3 managed.
I loaded the 4 into PL4 with DXO Standard settings (default) with DeepPrime noise reduction turned on.
I exported them to disk. Reading images from SSD and writting to SSD. I have a Ryzen 2700x CPU and a Nvidia 1060/6gb GPU.
Total time to export took 62secs. This included a 5sec or so startup delay while the pipeline was being loaded. So I am averaging about 1 sec to 3Mpx. Which seems similar to the others who have posted here. I can see with gpu-z application that my GPU is definitely getting used, occasionally maxing out to 100% utilization.
Nvidia Geforce RTX 3080 or Nvidia Quadro rtx 4000 ?
Which card will be better now and for the next few years according to the developers?
Which video card resource is most important for a Photo Lab? Cuda cores, memory or something else?
Note the FP32 chart about halfway into the blog. It lists my lowly NVIDIA 1060 and many other GPU’s against their FP32 performance. If in fact DeepPRIME is linear with FP32 performance then this chart can help users determine the relative performance of their cards vs possible hardware updates.
It would be helpful to have additional verification from DxO on how closely DeepPRIME truely tracks FP32 performance.
Another interesting site for GPU benchmark comparisions is here:
Here is a comparison of GPU’s for use with Topaz Sharpen AI in stabilise mode for a Nikon D850 image - DPR Forum. Rough timings because not everybody used the same image file but I would expect something similar with DXO. A similar excercise could be performed on this forum?
Though everyone else is talking about Nvidia here, recent versions Apple OS X only run on AMD. Radeon VII rocks on Photolab 4 with about 15 seconds per image with many corrections and DeepPrime (D850, whether cropped to about 30 MP or almost all 45 MP). Finally some hardware acceleration.
Of course it’s not surprising that Nvidia dominates the conversation since I believe their market share is somewhere around 80% and most people here are probably using one. But it would be great to get more feedback on the performance of various Radeon models on both Macs and PCs.
Some kind of community-generated benchmark for various GPUs would be useful. But it should be based on a standard set of images available to everyone. I’m not sure if there’s an appropriate set of software to capture this information (including CPU, memory, etc.), either. I’ve tried hand timing results from PL4 but my precision isn’t very good.
Well i`ve already given some numbers for a Radeon RX Vega64 under Windows 10 a little bit earlier.
24 32MPIx with my Standard Preset + DeepPrime are finished in around 180seconds.
So It runs somewhere between 3-5 MPx/Sec depending on the files, batch length and corrections applied.
The CPU does still seem to play a role though, since i`ve seen numbers from a 32C Zen2 Threadripper with a GTX1660 crunching a single 50MPix files between 8-10seconds.