PhotoScan makes heavy use of both the central processors (CPUs) in a computer and the video cards (GPUs) to run many of the calculations involved in turning still images into a 3D model or map. Agisoft, the makers of PhotoScan, have versions available for both Windows and macOS – so let’s take a look at how these two, competing computer platforms compare.
PhotoScan makes heavy use of both the central processors (CPUs) in a computer and the video cards (GPUs) to run many of the calculations involved in turning still images into a 3D model or map. Intel’s new Xeon Scalable processors offer configurations with dozens of CPU cores, as well as the ability to support multiple GPUs – so let’s see how they perform in PhotoScan.
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.
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