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19th October 2016, 13:19 | #39761 | Link | |
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If this is the case, there's a huge gap between 1050Ti and 1060. 2.1 Tflops vs 4.4. RX480 should offer 5.8 Tflops. Is this confirmed by real testing (it being faster than GTX1060 in madVR)? Note: the above values are calculated from specifications, according to Tech Report. Edit: I searched for the comparison spreadsheet that was posted here, based on real testing, and no, GTX480 does not seem to confirm the theoretical advantage that it has based on specs. Last edited by ashlar42; 19th October 2016 at 13:30. |
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19th October 2016, 13:30 | #39762 | Link |
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the first test show it was not the case with polaris.
i just got my RX 480 back and it can easily do nnedi3 64 neuron 24p FHD-> UHD. but that is mostly openCL. just wait for the new algo i'm pretty sure people with different hardware will test it. |
19th October 2016, 14:45 | #39763 | Link | |
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Case in point, a while back I upgraded my GTX 560Ti to a GTX 960, and while the GTX 960 is definitely faster the difference in FLOPS is far greater than the difference in render times. |
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19th October 2016, 17:47 | #39764 | Link | |
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More FLOPS = Faster in madVR, it isn't 1 to 1 but other aspects don't do much to help madVR at all.
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madVR options explained |
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19th October 2016, 20:13 | #39765 | Link | |
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At any rate if it's 0.5ms for every GPU then there's indeed no point in trying to make it faster, so FLOPS are pretty much the only benchmark that will have some effect. Although 2x more FLOPS won't necessarily mean 2x faster rendering. |
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19th October 2016, 23:43 | #39767 | Link | |
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Are you sure the improvement isn't simply due to the large increase in FLOPS (4981 v.s. 8873)? edit: Why would you want NNEDI3 256 for chroma? I can do it but I do not.
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madVR options explained Last edited by Asmodian; 19th October 2016 at 23:46. |
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20th October 2016, 00:26 | #39769 | Link |
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Relatively larger buffers then, or maybe simply not small buffers, the default of 8 stays under 3GB.
The 980 has 4GB of VRAM anyway, I don't see how the extra 4GB of VRAM on the 1080 helps.
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madVR options explained |
20th October 2016, 05:44 | #39770 | Link | |
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I have 128 for CPU, 24 for GPU and 16 for Present. NNEDI3 128 I can do, but 256 isn't possible on a 1080 GTX. I use Jinc w/ SuperRes 4 for Chroma and Upscaling. |
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20th October 2016, 07:50 | #39771 | Link | |
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of cause 8 GB doesn't help but 3 GB is still very limited for UHD. with larger buffer size you simply have no chance with 3GB. |
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20th October 2016, 08:05 | #39772 | Link |
Is this for real?
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With 720p, 23.976fps content upscaled to 1440p, and then down to 1080p on my 1080p TV I can use the following settings in MadVr :
- Chroma upscaling : NNEDI3 64 - image downscaling : SSIM2D 100%, AR, LL - image doubling : double Luma NNEDI3 256 + double Chroma NNEDI3 32 (quadruple off) - image upscaling : Jinc AR - upscaling refinement : only SuperRes 1X (2X is possible, but a bit higher render times) This gives me a rendertime of 32-35ms. 480p content is upscaled with Jinc AR from 960p -> 1080p (after NNEDI3 settings has done it's job up to 960). Or I can use these settings with the same content : - Chroma upscaling : NNEDI3 256 - image downscaling : SSIM2D 100%, AR, LL - image doubling : double Luma NNEDI3 64 + double Chroma NNEDI3 64 (quadruple off) - image upscaling : Jinc AR - upscaling refinement : only SuperRes 1X (2X is possible, but a bit higher render times) Very little difference in IQ between the two setups, although I like NNEDI3 256 for Chroma Upscaling with native 1080p content on my 1080p TV that is not using any image upscaling/doubling or SuperRes refinement.
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My HTPC : i9 10900K | nVidia RTX 4070 Super | TV : Samsung 75Q9FN QLED Last edited by Betroz; 20th October 2016 at 08:08. |
20th October 2016, 08:25 | #39773 | Link |
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20th October 2016, 09:19 | #39774 | Link | |
Is this for real?
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I use the first settings from my previous post anyway (the one with NNEDI3 256 for Luma).
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My HTPC : i9 10900K | nVidia RTX 4070 Super | TV : Samsung 75Q9FN QLED |
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20th October 2016, 13:43 | #39776 | Link |
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Seems I may need to hurry along my latest experiment a bit.
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20th October 2016, 13:50 | #39777 | Link | |
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Test patterns: Grayscale yuv444p16le perceptually spaced gradient v2.1 (8-bit version), Multicolor yuv444p16le perceptually spaced gradient v2.1 (8-bit version) |
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20th October 2016, 16:23 | #39779 | Link | |
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20th October 2016, 18:31 | #39780 | Link | |
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What's the performance difference between NNEDI3 (64n) and your algo? Last edited by sauma144; 20th October 2016 at 18:35. |
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Tags |
direct compute, dithering, error diffusion, madvr, ngu, nnedi3, quality, renderer, scaling, uhd upscaling, upsampling |
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