What do you mean?
Because with PAL (0.44 million pixels) you get 4.5 times the speed than if you enter 4.5 times the pixel resolution (Full HD)?
That’s mathematics.
… I would suggest that regardless of the resolution you work with—I usually use 4K, for example—you should only use Full HD for comparison purposes, otherwise it becomes too confusing…
I mean that the benchmarks are too inconsistent with quite some variation from run to run.
Oh, and P.S.: all those FHD benchmarks are (maybe except for 1x) vastly irrelevant as this is NOT the common use case. I guess only few people use Topaz to upscale FHD to 4k.
So, really, we should be posting more SD→(F)HD benchmarks (which likely is the by far most used scenario).
Not sure what changed, I ran this second benchmark when I went to lunch and was not on my system doing anything else, whereas the first one was run while actively using my system.
I was just thinking exactly the same. Is the 26.3 OS the final release, rather than the release candidate? I’ve been concentrating on testing Starlight recently so haven’t checked how 26.3 might affect other models. I really hope this isn’t going to be an issue. Virtually all my sources are SD.
Thanks.
Andy
Edit: just tried on my M3 Ultra and setting max mem % to 10% (rather than 100%) has a positive effect on some models but the reverse on others.
I have the same RTX5080 as you (ok, ASUS), but I’m about 1/3 faster everywhere.
The reason will be your motherboard and the speed of your RAM.
For an RTX50xx, you need PCie4 (you only have PCie3)…
and DDR4 at least 4000 MT/s or DDR5 with 8000 MT/s.
(I have DDR4 with 4400 MT/s).
Best regards
I know the limitations of PCIe 3.0.
While my older motherboard does introduce a slight bottleneck, a full 33% performance gap across the board doesn’t really align with the hardware math here.
Dropping from PCIe 4.0 to PCIe 3.0 x16 typically only results in about a 5% to 10% performance penalty in AI video workloads, nowhere near 33%.
Even with DDR5 at 8000 MT/s on a modern platform, the performance scaling in Topaz Video AI is not linear enough to produce that kind of gap solely from memory.
Topaz Video 1.2.x needs a lot of work on Blackwell.
Right now, it’s leaving a lot of power on the table.
Okay, then how do you explain the 33%?
(benchmark)…
I don’t think this difference is marginal with the same graphics card… and just wanted to point that out…
Consensus - not linear.
As I saw in the benchmarks, my ASUS Z590, i9-11900, DDR4-4400MT/s, PCIe4 achieves the same and in some cases better values than modern boards with 265 or 285 CPUs…
(with the same GPU RTX5080).
Okay, but TV 1.2 doesn’t make a significant difference to me compared to VAI 7.1.
… Many people here have already noticed that Topaz is sometimes unable to make good use of the available resources … …
Perhaps this is because NVIDIA introduces new architectures every few years, and it is not possible to adapt the AI models quickly enough and repeatedly ?