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famorim Posted at 2017-12-22 00:07
I did some tests using a Core i5 16gb RAM with GPU Radeon RX580 and a Core i7 32Gb RAM with Nvidia 750Gtx using Adobe Premiere, Layer color correction, Denoiser III, Unsharp Mask and a fade transition.
The Core i5 was far faster than i7. I know it depends on what software and features you use in your videos, but if we talk about softwares like Final Cut Pro X, Adobe Premiere and Davince Resolve, the GPU is the most important peace to consider in this equation.
i use mostly adobe premiere elements, pro is just overkill for my needs, however here is a quote direct from adobe FAQ
Hardware Considerations
The first thing in improving encoding speed is to consider your hardware.
CPUs: Encoding and rendering previews are a CPU intensive process, so the main control you have over export times is to have the fastest CPUs possible installed in your computer. More CPUs are better, as well. Consider that another computer in your facility, school, or home office might have faster CPUs.
GPU: a GPU of any type does not assist the actual encoding process, however, it can improve the processing speed in certain cases. It depends on a number of important factors. This blog post explains what a GPU can and cannot assist (speed up) in the overall exporting process (scaling, GPU accelerated effects, etc.). In some cases in an exporting job, the GPU is used minimally, as there might not be many processes available for the GPU to handle. Real-time GPU accelerated effects may not have been added to the sequence, for example.
That said, a system with a well-performing GPU (or even dual GPUs or more) can be a boon to improving encoding times, as indicated in this article. Some editors create sequences with a great deal of GPU-accelerated effects, for example, others commonly scale 4K footage to HD frame sizes. The GPU offloads processing for items it can handle, like these effects and scaling, giving the CPUs the opportunity to focus on the encoding (rather than effects processing) which can speed up the entire process greatly. |
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