In an attempt to make their GeForce line of consumer video cards less appealing to crypto miners, NVIDIA has updated many of their GPUs with “lite hash rate” versions. These are supposed to reduce effectiveness for mining of currencies like Etherium by about 50%, without impacting game performance or other applications, but to be sure of that we put a pair of GeForce RTX 3070 cards – one with LHR and one without – to the test.
The first cards in NVIDIA’s GeForce RTX 30 Series launched earlier this fall, and now the RTX 3070 has finally joined its bigger siblings. How does it compare to the RTX 3080 and 3090? And how do they all fare against the previous generation of GeForce and Titan cards? In this article we take a look at how these all stack up in Pix4D.
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 Pix4D.
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 Pix4D.
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.
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.
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 utilizes the video card (GPU) in a workstation, but how much impact do different cards make on overall performance?
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