When the performance of AMD’s Threadripper processors is brought up, the discussion can often turn toward some of the oddities of this CPU’s architecture and how it interacts with thread scheduling in Windows 10. That is something which AMD has attempted to improve with their Ryzen Master software, and which has been partially addressed by Microsoft as well (via Windows updates). Some folks in the wider AMD enthusiast community have tried to tackle this issue too.
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.
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 in our first article focusing on this software we are going to take a look at how Intel’s Core i7 and i9 processors stack up against AMD’s Threadripper chips.
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.
Here at Puget Systems, we have put together a benchmark utility for RealityCapture 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 RealityCapture.
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