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Kaj E

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Posts posted by Kaj E

  1. On 7/27/2023 at 8:54 PM, iieeann said:

     

    Sorry what i meant was i did not go to look at gpu utilization whether it is high or low, i just run the ai denoising only.

    My bad, I realized what you meant as soon as I had made the post.

    Now I am the happy owner of the new Dell Precision 7780. I made the denoise test, and it took 18 seconds with the RTX 4000 to denoise the test file in Adobe camera Raw. The computer is also otherwise very snappy compared to the old Precision 7730. 😁

  2. 4 hours ago, iieeann said:

    @Kaj E

    7780 13950hx RTX5000 is 16sec.  I did not observe the gpu utilization anyway.

    2v2eRLr2FxB3vgi.png

     

    Thank you for the reply. Excellent result, both timewise and image qualitywise. Strange that there was no noticeable GPU utilization. Maybe the fact that just tensor cores were used and that the RTX 5000 is so powerful was the cause.

    Based on eirop's reply I compared the specs of A5500 to the Ada gen. RTXs and decided to go for the RTX 4000. I do not need the fastest, just good performance, anything in the 20-25 s range would be fine. Went for a 7780 i9, RTX 4000, 1 +2 TB, 64 (32+32) GB SODIMM. Expecting to receive it next week.

    Thank you, Ileeann and eirop!

  3. On 7/17/2023 at 7:27 PM, eirop said:

     

    I don't have a 7780, but I have a 7770 with 12850HX and RTX A5500. It took 20-21 seconds to process for me. The machine was in "best performance" mode (in Windows settings) but I had some music playing, browser running and another program open. Maybe it could have been marginally faster otherwise. Had around 97% GPU utilization while it was running, so looked like it was maxing out the GPU. This should let you make an educated guess about what an RTX 5000 Ada would do.

     

    Edit: this was in Adobe Camera Raw, not LRC.

    Thank you very much! Very useful info. Sounds good.

  4. Hi I am new here and intended to post here, but by mistake posted it in the general Dell precision forum, so here it is:

    I am new here, have read with interest posts about Dell Precision 7780 which I plan on buying. But I would require some more info before I decide between the RTX 4000 and RTX 5000.

     I have a Precision 7730 with a Quadro P3200 now, but it has become too slow for Photoshop and Adobe Camera Raw with the new AI based features. Adobe tells that the new features will be expanded and that they use tensor cores. One of the new features is AI based denoise. The photographic community on the internet has been posting on how long it takes with different GPUs to do the denoise. Unfortunately, the posts only cover desktop GPUs: https://www.fredmiranda.com/forum/topic/1804640/14 (the table in the middle of the page).

    If anyone of you have access to the current versions of Photoshop with ACR or Lightroom Classic, I would greatly appreciate, if you could run a denoise test on this 60 MP reference file: https://drive.google.com/file/d/15UAKmx9IA1k2Zt877ShHeUewCcHquyhu/view , and post the time it takes.

    Thank you very much for your consideration.

    Kaj

     

  5. I am new here, have read with interest posts about Dell Precision 7780 which I plan on buying. But I would require some more info before I decide between the RTX 4000 and RTX 5000.

     I have a Precision 7730 with a Quadro P3200 now, but it has become too slow for Photoshop and Adobe Camera Raw with the new AI based features. Adobe tells that the new features will be expanded and that they use tensor cores. One of the new features is AI based denoise. The photographic community on the internet has been posting on how long it takes with different GPUs to do the denoise. Unfortunately, the posts only cover desktop GPUs: https://www.fredmiranda.com/forum/topic/1804640/14 (the table in the middle of the page).

    If anyone of you have access to the current versions of Photoshop with ACR or Lightroom Classic, I would greatly appreciate, if you could run a denoise test on this 60 MP reference file: https://drive.google.com/file/d/15UAKmx9IA1k2Zt877ShHeUewCcHquyhu/view , and post the time it takes.

    Thank you very much for your consideration.

    Kaj

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