Summary
Leading Motion Capture Meets NVIDIA’s Powerful GPUs
At Theia, we’re committed to advancing the capabilities of markerless motion capture. Theia3D uses advanced computer vision algorithms to extract high-quality 3D human movement data with unmatched ease of use, flexibility, and research-grade accuracy.
Your time is valuable, but so is reliable, biomechanically accurate data. That’s why we invest heavily in performance testing to ensure Theia3D not only meets the highest research standards, but also keeps pace with hardware innovation.
With the release of Theia3D Axiom and now support for the NVIDIA GeForce RTX 50 Series, we’re unlocking a new level of processing speed - without compromising accuracy. To map out this new performance landscape, we’ll be benchmarking the new graphics cards against the previous flagship model, the GeForce RTX 4090, over the coming weeks.
Benchmarking: RTX 4090 vs. RTX 5080
Since NVIDIA’s announcement of the 50 Series at the start of 2025, we’ve been eager to test these next-gen GPUs. Given the performance leap we saw with the 40 Series, we anticipated big things - and the early results are impressive.

In our first round of benchmarking, we compared the RTX 5080 against the previous flagship, the RTX 4090, using standard Theia3D settings. Here’s what we tested:
Test Setup
- Graphics cards:
- NVIDIA GeForce RTX 4090 vs. NVIDIA GeForce RTX 5080
- Theia3D Settings:
- Standard GPU configuration for each card in Theia3D
- Default Person Detection Threads
- Default Joint Detection Threads
- Person Detector Skip Frames: 3
- Standard GPU configuration for each card in Theia3D
- Dataset:
- 7 cameras
- 1750 frames per camera
- 960 x 540 resolution
- AVI file type with MJPEG encoding
- Standard Theia3D configuration for each
Performance Results

The results of the test speak volumes. The RTX 5080 significantly outperformed the 4090 - leading to major reductions in processing time (a reduction of 30%). These results are even more impressive considering that the RTX 5080 is a mid-tier card from the 50 Series - yet it outperformed the previous generation’s flagship model, the RTX 4090. If this is what the 5080 can do, we can’t wait to test the RTX 5090.
Throughout our testing, both cards performed reliably under sustained loads. For those monitoring their own GPU performance, we recommend GPU-Z - a simple, effective tool for real-time GPU diagnostics.


Theia Axiom: Ready for the Future
With this update, Theia Axiom now officially supports the NVIDIA GeForce RTX 50 Series, opening up possibilities for even faster, more powerful motion capture processing. Whether you’re analyzing gait, sports performance, or clinical rehab, this upgrade will help you process more data in less time.
Stay tuned - more benchmarks (including the RTX 5090) are on the way.
Get Started with Theia Axiom
Theia Axiom is available now through our customer support portal.
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