GPU acceleration in Adobe Premiere Pro 2021 enables content creators to speed up video editing workflows so that even advanced multilayer timelines with sophisticated effects (such as Lumetri color effects) can be played, scrubbed, and edited in real time without losing frames. At least that would be the ideal case. The Mercury Playback Engine supports CUDA and OpenCL as two methods of hardware acceleration, although some OpenCL implementations can cause problems. However, both work, even if the number of supported filters is not quite the same.
And that’s where NVIDIA GPU Decode for H.264 and HEVC comes in. In addition to NvEnc and the time advantages in encoding, Adobe Premiere Pro 2021 also fully supports Decode, i.e. the hardware-accelerated playback of, for example, several high-resolution 4K clips in real time in the timeline, which not only extremely relieves the CPU, but also keeps the playback rate constant at just under 24 FPS. Apart from the fact that this runs quite impressively even with several clips to be processed in parallel, the GPU once again pushes the CPU into the background.
The Intel Core i7-10875H installed in the Razer Blade Pro 15 is anything but a muscleman, so the GPU can provide a lot of relief. On top of that, I’m using the notebook with a docking station of sorts for this review, so I can also view 4K content natively on the BenQ PD3220U without bending my eyes on the vanity mirror display while stationary.
Today’s benchmark relies on multiple sequences, such as a 4K intro with various effects and sounds on two layers of video and one layer of title graphics. Effects applied include: lens distortion, Gaussian blur, mosaic, search edges, along with video transformations (rotation). Another sequence represents a fully edited music video including 4K upscaling, luma curve adjustment, fast blur, noise, hue changes, RGB curves, black and white effects, image mixing and video overlay, which also serves as a real-time preview on the timeline.
Finally, another sequence demonstrates the simultaneous processing of a total of three Full HD subsequences within a single 4K timeline. Three separate subsequences are shown, with one sequence additionally duplicated. All effects for the subsequences are processed within the master timeline. In the benchmarks, I first compare the performance of hardware-based real-time playback for the first sequence. The real-time preview of the timelines ideally runs at around 24 FPS, anything significantly below that is jerky and distracting to work with.
First, I test simple video encoding using NvEnc to have a baseline for any further benchmarks beyond just encoding. Since AMD’s AMF gives terrible image quality and also only runs via a third-party plugin, I’ve hidden the Radeon cards for this once. The notebook with the 2080 Super Max-Q lags a bit behind, but this could also be due to the limited power limit and the peculiarities of the Max-Q design, as well as the older encoder. The new RTX 3080 Max-Q is already a bit faster. The older Pascal cards run out of competition due to the poorer picture quality of the outdated encoder.
Now let’s test the pre-rendering for the first sequence. Of course, pre-rendering avoids all jams in the playback, but it also costs a lot of time. However, the notebook does not cut a bad figure here either, since almost everything can be covered by the GPU and the CPU only has to provide support.
The processing time for 4K video output including scaling and various filters including overlays is kept within limits and the notebook’s performance is in the very good midfield.
However, when finally merging three different clips and duplicating one of them to form the full quartet, you notice the disadvantages of the rather limited Intel CPU, as Dynamic Boost gives the GPU the full pipe and the Intel simply lacks a bit of clock by design. Still, you can live with the blue bomb because the GPU does the main work anyway.
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