Intel has launched their new Xeon Scalable processor series, with very high core counts and multi-CPU configurations. How do they stack up to single-socket workstations using other Intel and AMD processors when rendering in V-Ray?


Intel has launched their new Xeon Scalable processor series, with very high core counts and multi-CPU configurations. How do they stack up to single-socket workstations using other Intel and AMD processors when rendering in V-Ray?

“Mac or PC?” – the age-old question among computer enthusiasts. How fast are Apple and PC workstations when rendering in V-Ray? And which offers a better value?

“Mac or PC?” – the age-old question among computer enthusiasts. How do Apple and PC workstations compare for content creation and rendering in Cinema 4D?

Intel has launched their new Xeon Scalable processor series, with very high core counts when used in dual CPU configurations. How do they stack up to single-socket workstations using other Intel and AMD processors in Cinema 4D?

After Effects users are often held back by the performance of their workstation, yet a surprising number of users lock themselves into the Mac ecosystem. In this article we will be looking at just how much faster a PC workstation can be in After Effects compared to the iMac Pro and Mac Pro.

Apple may have had a stranglehold on video editing workstations for many years, but with 4K, 6K, and even 8K footage being used more and more, many are starting to jump ship in favor of a PC workstation. Most people know that they can get more out of a PC, but just how much faster is a PC versus a Mac Pro or iMac Pro in Premiere Pro?

With the rise of 4K, 6K, and even 8K footage, colorists using DaVinci Resolve are quickly discovering that the Mac ecosystem is simply not able to give them the performance they need. Most people know that they can get more out of a PC, but just how much faster is a PC versus a Mac Pro or iMac Pro?

Want to see how your system stacks up to the latest hardware? Download our free, public Pix4D benchmark tool which will walk you through a couple of basic projects and display the calculation times. We’ve also included a video walkthrough, showing how to use this tool, and some comparison results from recent workstations built here at Puget Systems.

PhotoScan makes heavy use of the central processor (CPU) in a computer to run many of the calculations involved in turning still images into a 3D model or map. Different steps in that process utilize the CPU in various ways, though, so we are looking at how several Intel and AMD processors compare in this application.

PhotoScan makes use of both the CPU and GPUs (video cards) in a computer, during different steps of the photogrammetry workflow. One of the configuration options within this program also allows the CPU to be utilized during steps that are primarily performed on the GPU – and it is enabled by default. However, we have found in our testing that this option usually hampers performance more than it helps!