With the recent release of SOLIDWORKS 2020’s first service pack, we thought it would be a good time to do a roundup of NVIDIA Quadro video card performance with regards to modeling in SOLIDWORKS.


With the recent release of SOLIDWORKS 2020’s first service pack, we thought it would be a good time to do a roundup of NVIDIA Quadro video card performance with regards to modeling in SOLIDWORKS.

One of the big advantages of GPU-based rendering is that you can easily put multiple video cards inside a single workstation. How much benefit does each additional card provide for V-Ray Next, though? We put four GeForce RTX 2080 Ti video cards to the test to find out!

V-Ray Next is made up of two rendering engines: a traditional CPU based renderer, as well as a GPU-based hybrid engine that can run on both GPUs and CPUs for extra performance. With the launch of NVIDIA’s new GeForce RTX “SUPER” series of video cards, we are taking a look at how the whole RTX lineup performs on the GPU side of V-Ray Next.

OctaneRender is a GPU-based rendering engine, utilizing the CUDA programming language on NVIDIA-based graphics cards. With the launch of NVIDIA’s new GeForce RTX “SUPER” series of video cards, we are taking a look at how the whole RTX lineup performs on both the current OctaneRender 4 and the upcoming 2019 release which adds support for RTX technology and greatly increased rendering speeds.

Redshift is a GPU-based rendering engine, now owned by Maxon and available bundled with Cinema 4D – as well as in the form of plug-ins for other 3D applications. It was written to use NVIDIA’s CUDA graphics programming language, and since NVIDIA recently refreshed their GeForce series with new 2060, 2070, and 2080 “SUPER” cards we thought it would be a good time to re-test the whole RTX lineup.

Metashape, formerly known as PhotoScan, is a photogrammetry program that takes a set of images and combines them to create a 3D model or map. 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 to support Metashape, along with new image sets to test, so now we are taking a look at how different NVIDIA and AMD video cards perform in this application.

RealityCapture, like other photogrammetry applications, is built to take a batch of photographs and turn them into digital, 3D models. The many steps involved in that process can take a lot of time, and utilize both the CPU and GPU at different points. We recently put together a benchmark tool for RealityCapture, and after looking at processor performance last week we are now diving into a comparison of the current NVIDIA GeForce and Titan video cards.

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.

Here at Puget Systems, we have put together a benchmark utility for Pix4D which measures system performance for photogrammetry by running two small projects – a 3D Model and a 3D 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 Pix4D.

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.