Note that I uses TensorRT, which takes quite a while to create a .engine file (will be created for each resolution), but then is quite a bit faster than when using ncnn.
But yes, after building the .engine file, processing ran at ~21fps and for a 3:34.68 clip it took 258.18 seconds (20.79 fps).
Seeint the CUDA and Tensor RT core counts (4060ti vs 4080):
and taking into account that the 4080 uses faster memory, I would have expected it to be ~2.5 faster.
=> I suspect you didn't use TensorRT, which could explain the speed difference.
Cu Selur
But yes, after building the .engine file, processing ran at ~21fps and for a 3:34.68 clip it took 258.18 seconds (20.79 fps).
Seeint the CUDA and Tensor RT core counts (4060ti vs 4080):
Cores 4352 9728
RT Cores 32 76=> I suspect you didn't use TensorRT, which could explain the speed difference.
Quote:...but erm... is it possible i have such slow speeds... cause i have to use sRestore on 50fps content !??what speeds do you get if you use for example spline64 as resizer? (instead of RealESRGAN; I still suspect it's mainly due to not using TensorRT)
but then again, that's more of a cpu task if you ask me ...?
Cu Selur