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  5. RealityCapture 1.1 – NVIDIA GeForce RTX 3080 Performance

RealityCapture 1.1 – NVIDIA GeForce RTX 3080 Performance

Posted on September 17, 2020 by William George
With the release of the RTX 3090 on 9/24/2020, we have an updated article that includes results for both the RTX 3080 and RTX 3090: RealityCapture 1.1 - NVIDIA GeForce RTX 3080 Performance

Table of Contents

  • Introduction
  • Test Setup
  • Benchmark Results
  • Performance Analysis
  • Is the NVIDIA GeForce RTX 3080 Good for RealityCapture?

TL;DR: NVIDIA GeForce RTX 3080 Performance in RealityCapture

As of its launch on 9/17/2020, the GeForce RTX 3080 is the fastest video card available for RealityCapture! That could change with the release of the RTX 3090 later this month, of course, but that card is also going to be several hundred dollars more expensive – so we will have to wait and see if it can justify that price increase in this application.

Pix4D Photogrammetry Performance Review for NVIDIA GeForce RTX 3080 10GB
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Pix4D Photogrammetry Performance Review for NVIDIA GeForce RTX 3080 10GB
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Introduction

On September 1st, NVIDIA launched the new GeForce RTX 30 Series, touting major advancements in performance and efficiency. While gaming is almost always this media focus during these kinds of launches, professional applications like RealityCapture should see some improvements as well.

If you want to see the full specs for the new GeForce RTX 3070, 3080, and 3090 cards, we recommend checking out NVIDIA's page for the new RTX 30 Series cards. But at a glance, here are what we consider to be the most important specs:

VRAM CUDA Cores Boost Clock Power MSRP
RTX 2070 Super 8GB 2,560 1.77 GHz 215W $499
RTX 3070 8GB 5,888 1.70 GHz 220W $499
RTX 2080 Super 8GB 3,072 1.65 GHz 250W $699
RTX 3080 10GB 8,704 1.71 GHz 320W $699
RTX 2080 Ti 11GB 4,352 1.55 GHz 250W $1,199
RTX 3090 24GB 10,496 1.73 GHz 350W $1,499
Titan RTX 24GB 4,608 1.77 GHz 280W $2,499

While specs don't always line up with real-world performance, it is a great sign that NVIDIA has roughly doubled the number of CUDA cores compared to the GeForce RTX 20 Series cards at similar price points. At the top-end of the new line, NVIDIA appears to have also combined the roles of the previous-gen RTX 2080 Ti and Titan RTX into the new RTX 3090. It has as much VRAM as the Titan did, but for $1,000 less – putting it in the same ballpark as the 2080 Ti, but with more than double the memory and CUDA cores.

Since only the GeForce RTX 3080 is fully launched at this point (the RTX 3090 is set to launch on Sept 24th, and the RTX 3070 sometime in October) we, unfortunately, will only be able to examine the RTX 3080 at this time. However, we are very interested in how the RTX 3070 and 3090 will perform, and when we are able to test those cards we will post follow-up articles with their results.

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Test Setup

Listed below is the specifications of the system we used for our RealityCapture testing:

Test Platform
CPU AMD TR 3970X 32 Core
CPU Cooler Noctua NH-U14S TR4-SP3
Motherboard Gigabyte TRX40 AORUS PRO WIFI
RAM 4x DDR4-2933 16GB (64GB total)
Video Card NVIDIA GeForce RTX 3080 10GB
NVIDIA Titan RTX 24GB
NVIDIA GeForce RTX 2080 Ti 11GB
NVIDIA GeForce RTX 2080 SUPER 8GB
NVIDIA GeForce RTX 2070 SUPER 8GB
NVIDIA GeForce RTX 2060 SUPER 8GB
NVIDIA GeForce GTX 1080 Ti 11GB
Hard Drive Samsung 960 Pro 1TB
Software Windows 10 Pro 64-bit (Ver. 2004)
RealityCapture 1.1.0.12901

*All the latest drivers, OS updates, BIOS, and firmware applied as of August 31st, 2020

Big thank you to Gigabyte for providing the GeForce RTX™ 3080 GAMING OC 10G sample used in our testing!

To test each video card, we used our in-house RealityCapture benchmark – both the standard and extended versions. Each was run twice per GPU, and the best results were included in the charts below. Here is some basic info about the image sets in these projects:

  • Rock Model – 45 photos at 20 megapixels each
  • School Map – 51 photos at 18 megapixels each
  • School Model – 278 photos at 18 megapixels each
  • Park Map – 758 photos at 18 megapixels each

We make these benchmarks publicly available under the Creative Commons BY-ND license, so if you use RealityCapture you can download them from our website and compare your system's performance with the results shown here.

Benchmark Results

Here are charts showing the performance of the new GeForce RTX 3080 compared to the other video cards we tested:

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Performance Analysis

The new GeForce RTX 3080 turned in excellent performance in our benchmark tests, effectively matching or beating the much more expensive Titan RTX! The overall spread of cards isn't huge when looking at the smaller image sets, with no more than 10% variance, but if you are working with larger projects (multiple hundreds or thousands of images) then the differences between GPUs become more pronounced – and the RTX 3080 takes a solid lead.

If you are curious about how the video card selection impacted different steps within RealityCapture, this table shows those full details:

RealityCapture 1.1.0.12901 GeForce RTX 3080 & 20 Series Performance Table
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RealityCapture 1.1.0.12901 GeForce RTX 3080 & 20 Series Performance Table
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Is the NVIDIA GeForce RTX 3080 Good for RealityCapture?

Yes, as of this writing the RTX 3080 is the fastest video card for RealityCapture! That could change with the release of the RTX 3090 later this month, of course, but that card is also going to be several hundred dollars more expensive – so we will have to wait and see if it can justify that price increase in this application. It will also be worth looking at any other RTX 30 Series cards that follow these, as a lower priced card can sometimes provide a better price:performance ratio.

As always, please keep in mind that these results are strictly for photogrammetry in RealityCapture. If you have performance concerns for other applications in your workflow, we highly recommend checking out our Hardware Articles (you can filter by "Video Card") for the latest information on how a wide range of programs perform with various GPUs, CPUs, and other hardware.

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Tags: GPU, GPU Acceleration, GTX 1080 Ti, Hardware Acceleration, NVIDIA, photogrammetry, RealityCapture, RTX 2060 SUPER, RTX 2070 SUPER, RTX 2080 SUPER, RTX 2080 Ti, RTX 3080, Titan RTX, Video Card

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