NVIDIA’s GeForce RTX 30 Series cards are here, with NVIDIA boasting significant performance gains over the previous generation. The RTX 3080 launched last week, and now with the RTX 3090 released today we can compare these models to each other as well as the older 20 Series to find out how large those gains are in photogrammetry applications like Metashape.
The RTX 3000 series cards are here, with NVIDIA boasting significant performance gains over the previous generation. With the RTX 3080 now launched, we can find out how large those gains are in photogrammetry applications like Metashape.
AMD and Intel have both released small revisions to their latest-gen consumer CPU lines, in the form of the Ryzen XT models and Core i9 10850K. On paper these appear to be identical to current products except for very slight adjustments in clock speed, but how do they stack up in real-world photogrammetry applications?
A short article covering some of the best computer system configurations for photogrammetry in Metashape.
We have observed that some photogrammetry applications seem to perform better with lower core count processors, so we wanted to look at whether Hyperthreading and Simultaneous Multithreading could be negatively impacting performance in these programs – starting with Agisoft Metashape.
Intel’s new 10th Gen Core processors are out now, with an increased number of cores and very high clock speeds. How do they stack up against AMD’s Ryzen chips and other current models for photogrammetry workloads in Agisoft Metashape?
Here at Puget Systems, we have put together a benchmark utility for Agisoft Metashape which measures system performance for photogrammetry by running two small projects – a model and a map – and tracking the time each step takes to process. This benchmark is freely available to download, though running it requires a valid installation of Metashape.
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 RTX 2000-series – based on NVIDIA’s Turing GPU architecture – to see how they compare to each other.
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, with both clock speed and core count coming into play. Let’s see how the new 9th Gen Intel Core processors perform compared to existing Intel and AMD chips.
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 AMD’s Radeon line – including the Vega 64 and 56 – and see how they stack up to NVIDIA’s GeForce 1000-series.
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