AMD’s new Ryzen 3rd generation processors feature both an increase in core count and per-core performance, allowing them to rival and sometimes beat Intel’s mainstream Core processors in professional applications. Since AMD has finally released the top model in this series, the Ryzen 9 3950X, we decided to take a look at how it and some other competing CPUs handle Pix4D – which benefits from both core count and clock speed at various points throughout its workflow.
Pix4D 4.3 vs 4.4 Performance Differences
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 published articles looking at CPU and GPU performance on version 4.3 – but in the midst of our testing, 4.4 was released. Is it any faster?
Pix4D 4.3: Intel Core i7 & Core i9 vs AMD Threadripper Performance
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, so lets take a look at how Intel’s Core i7 and i9 processors stack up against AMD’s Threadripper.
Windows 10 Security Patch Slowed Intel Core i9 9900K in Pix4D, Metashape, & RealityCapture
Over the last couple of years, several new vulnerabilities have been found in modern microprocessor architectures. Many of these have been related to speculative execution techniques used across most of Intel’s product line, and a patch was released for Windows 10 last week which was intended to address some of those weaknesses. Unfortunately, it has also reduced performance in some applications – which this article will demonstrate by comparing processing speed in three photogrammetry programs before and after the update.
Pix4D 4.3: Intel Core i9 9990XE Performance
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. Both core count and clock speed play a role in Pix4D performance, so when Intel released their new Core i9 9990XE with very high clock speeds and a respectable number of cores (14, plus Hyperthreading) this seemed like a good application to test on it.
Testing Dynamic Local Mode on AMD Threadripper 2970WX – Photogrammetry
Dynamic Local Mode is a new feature on AMD’s biggest Threadripper processors. These CPUs have cores grouped internally, some with direct access to system memory and some which have to communicate through those other cores to access data in memory. DLM prioritizes running code on the cores which have a direct line to the memory, helping to improve performance in situations where not all of the cores are in use. How does that translate to real-world workloads, though? Let’s take a look at two photogrammetry applications and see how the 24-core 2970WX behaves with this feature on and off.
Pix4D 4.3 CPU Comparison: Intel 9th Gen Core & X-series vs AMD Ryzen & Threadripper
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 have tested multiple projects across a wide range of CPUs to see what hardware performs the best.
Pix4D CPU Comparison: Coffee Lake vs Skylake X vs Threadripper
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, so we have tested multiple projects across a wide range of CPUs to see what hardware performs the best.