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!
PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. As such, both the model of video card used and the number of GPUs present in a system can have an impact on the amount of time those steps take. In this article, we take a look at how multiple GeForce GTX 1080 Ti cards scale in performance across a few different CPU platforms.
PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. As such, the model of video card used can have an impact on the amount of time those steps take. In this article, we take a look at the GeForce 1000-series – based on NVIDIA’s Pascal GPU architecture – to see how they compare to each other.
PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. The performance of an individual video card, or GPU, is known to impact the processing speed – but what about the connection between the video card and the rest of the computer? This interconnect is called PCI Express and comes in a variety of speeds. In this article, we will look at how PhotoScan performance scales across PCI-E 3.0 x4, x8, and x16.
PhotoScan is a photogrammetry program: an application that takes a set of images and combines them to create a 3D model. A combination of CPU and GPU processing is used in this process. It has been a couple years (and several version updates) since we last tested PhotoScan, so we are revisiting it to see what has changed and how it performs on modern computer hardware.
Adobe has been leveraging the power of the GPU in their software more and more, but is there any reason to spend money on an expensive video card for Photoshop?
Intel has long been the performance king for After Effects, but AMDs new 2nd generation Ryzen CPUs have shown some great performance gains. Is it enough to let AMD overtake Intel?
AMD has made great improvements with the new 2nd generation Ryzen CPUs that really closes the gap between AMD and Intel for Photoshop users. But is it enough to put them above Intel’s 8th Gen CPUs?
Looking for Keyboard and Mouse? These are some things to be aware of before making your choice.
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