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  5. RealityCapture 1.1 – NVIDIA GeForce RTX 3070, 3080 & 3090 Performance

RealityCapture 1.1 – NVIDIA GeForce RTX 3070, 3080 & 3090 Performance

Posted on October 29, 2020 by William George
Always look at the date when you read an article. Some of the content in this article is most likely out of date, as it was written on October 29, 2020. For newer information, see our more recent articles.

Table of Contents

    • TL;DR: NVIDIA GeForce RTX 30 Series Performance in RealityCapture
  • Introduction
  • Test Setup
  • Benchmark Results
  • Performance Analysis
  • Are the NVIDIA GeForce RTX 3070, 3080 & 3090 Good for RealityCapture?

TL;DR: NVIDIA GeForce RTX 30 Series Performance in RealityCapture

NVIDIA’s GeForce RTX 3080 turned in excellent performance in our benchmark tests, effectively matching or beating the much more expensive Titan RTX! The RTX 3090 was a hair faster yet, but for the additional $800 it costs the processing speed boost is negligible. The RTX 3070 did well too, but was measurably behind the bigger cards. Similar performance to the RTX 3090 for less than half the price makes GeForce RTX 3080 the best video card for RealityCapture at this time.

Excerpt from “Labs Open Office Hour: Labs Lads Discuss the New RTX 3070” live stream on 10/30/2020

Introduction

NVIDIA has launched their new GeForce RTX 30 Series video cards in a set of rolling releases during the fall of 2020, and has touted major advancements in performance and efficiency with this "Ampere" architecture. While gaming is almost always the media's focus during these kinds of launches, professional applications like RealityCapture should see some improvements as well. Now that all three of the initial cards – the GeForce RTX 3070, 3080, and 3090 – are available, we can test them against each other and a wide range of previous-gen models to see how they perform.

RealityCapture Photogrammetry Performance Review for NVIDIA GeForce RTX 3070 8GB, 3080 10GB & 3090 24GB
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RealityCapture Photogrammetry Performance Review for NVIDIA GeForce RTX 3070 8GB, 3080 10GB & 3090 24GB

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. 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.

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Test Setup

Listed below are 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 3090 24GB
NVIDIA GeForce RTX 3080 10GB
NVIDIA GeForce RTX 3070 8GB

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

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 30 Series (in dark green) compared to the other cards we tested:

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Performance Analysis

The GeForce RTX 3080 turned in excellent performance in our benchmark tests, effectively matching or beating the much more expensive Titan RTX! The RTX 3090 was a hair faster yet, but for the additional $800 it costs the processing speed boost is negligible. The RTX 3070 clocked in a bit behind the bigger cards, but considering its $500 price tag it still did well and is a solid option for those wanting to save some money.

Overall, the spread of cards in RealityCapture isn't huge, with no more than 17% variance between the fastest and slowest cards we tested. However, the time savings with a faster card can add up over time – and the new GeForce RTX 30 Series offers decidely better performance for the price compared to older models.

Are the NVIDIA GeForce RTX 3070, 3080 & 3090 Good for RealityCapture?

Both the RTX 3080 and 3090 perform very well in this software! Their performance is almost identical, too, meaning that the GeForce RTX 3080 is the better choice for RealityCapture because it offers the same effective results for less than half the price. The RTX 3070 comes in a bit behind those two, but still turns in solid results – especially considering its lower MSRP.

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 3070, RTX 3080, RTX 3090, Titan RTX, Video Card

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