What were the best hardware configurations for a RealityCapture photogrammetry workstation as 2020 drew to a close?
In the past we have found that RealityCapture can perform better on high core count processors when SMT is turned off. With the release of AMD’s Ryzen 5000 Series processors in late 2020, those became some of the fastest chips available for RealityCapture – and the top-end models in that family sit right on the edge of where we found disabling SMT to be helpful in our older tests. So does turning SMT off help or hinder these new Ryzen CPUs?
In past testing, we found that RealityCapture benefited somewhat from adding a second video card. Is that still the case with the latest NVIDIA GeForce RTX 30 Series cards, and the recent update to RealityCapture 1.1 Blaze?
With the launch of the Ryzen 5000 Series, AMD has brought their updated Zen 3 microarchitecture to mainstream desktop computers. They claim these CPUs have substantial performance per clock improvements over the previous generation. Does that impact photogrammetry processing in RealityCapture? And if so, how do these new chips stack up against other AMD and Intel models?
NVIDIA’s first GeForce RTX 30 Series cards launched in September, and now the RTX 3070 has joined its bigger siblings. How does it stack up to the RTX 3080 and 3090? And how do they all compare against the previous generation of cards? Here we look at how they all perform in RealityCapture.
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 find out how large those gains are in photogrammetry applications like RealityCapture.
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 RealityCapture.
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 RealityCapture.
We’ve 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. Next up is RealityCapture.