Pix4D is an advanced photogrammetry application, suited to a wide range of uses, with a focus on handling images captured by drone cameras. Processing of those images into point clouds and 3D meshes/textures is time-consuming, heavily using a computer’s CPU and GPU. We have recently updated our benchmark tools for Pix4D, and now are taking a look at how different NVIDIA video cards perform in this program.
Depending on the number of GPU-accelerated effects you use, a higher-end GPU can give you a nice performance boost in Premiere Pro. But what will give you the best performance for your dollar? An NVIDIA GeForce RTX video card, or one of AMD’s Radeon cards?
OctaneRender is a GPU-based rendering engine, utilizing the CUDA programming language on NVIDIA-based graphics cards. The upcoming 2019 version is adding support for the dedicated ray-tracing hardware in NVIDIA’s RTX series of video cards, and a preview of the OctaneBench tool was released recently to show a sneak peek at what we can expect from this technology. We rounded up the whole GeForce RTX card line – along with the Titan RTX – to see how they compare to each other and how much of a boost RTX tech can provide.
Using NVLink requires a physical bridge between two identical NVIDIA graphics cards, but several models of bridges have been sold with different branding. Which versions work with which GeForce, Titan, and Quadro graphics cards?
OctaneRender is a GPU-based rendering engine, utilizing the CUDA programming language on NVIDIA-based graphics cards. An update to their benchmark, OctaneBench 4.00, was recently released – so we gathered most of the current and recent GeForce and Titan series video cards and tested them to see how they perform in this version of OctaneRender.
Redshift is a GPU-based rendering engine, compatible with NVIDIA’s CUDA graphics programming language. We recently saw how GeForce RTX cards perform in this renderer, but now the Titan RTX is out with a staggering 24GB of memory onboard. That sounds great for rendering complex 3D scenes, but how does it actually perform? And are there any caveats?
Pix4D is an advanced photogrammetry application, suited to a wide range of uses, with a focus on handling images captured by drone cameras. Processing of those images into point clouds and 3D meshes / textures is time-consuming, heavily using a computer’s CPU and GPU. A new version, 4.3, was released recently – so we have tested multiple projects across the new GeForce RTX series of video cards, as well as the previous generation, to see which graphics card performs the best.
V-Ray is a hybrid rendering engine that can run on both CPUs and GPUs, depending on the version that is used. The current benchmark only measures CPU and GPU performance separately, though, and while that is not ideal or a perfect match for how the modern V-Ray Next engine performs it can still be helpful to look at when comparing GPU rendering performance. Let’s see how NVIDIA’s new GeForce RTX 2070, 2080, and 2080 Ti cards stack up against the previous generation.
Pix4D is an advanced photogrammetry application, suited to a wide range of uses, with a focus on handling images captured by drone cameras. Processing of those images into point clouds and 3D meshes/textures is time-consuming, heavily using a computer’s CPU and GPU. In this article, we are looking at whether multiple GPUs improve Pix4D performance and if NVLink has any impact.
Pix4D is an advanced photogrammetry application, suited to wide range of uses, with a focus on handling images captured by drone cameras. Processing of those images into point clouds and 3D meshes / textures is time consuming, heavily using a computer’s CPU and GPU. A new version, 4.3, was released recently – so we are taking a look at performance of the previous version versus this one to see if there have been any improvements.
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