# Arm Neural Graphics Playbook - Evaluate

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-playbook-evaluate/)
- [Evaluate Arm Neural Technology for your mobile game](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-playbook-evaluate/01-from-neural-graphics-to-megalights/)
- [Discover Neural Dawn](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-playbook-evaluate/02-neural-dawn/)
- [Learn how NFRU and NSSD work](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-playbook-evaluate/03-building-blocks/)
- [Evaluate fit for your game](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-playbook-evaluate/04-evaluating-fit-for-your-game/)
- [Get started with NFRU and NSSD](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-playbook-evaluate/05-getting-started/)
- [Work with neural graphics models](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-playbook-evaluate/06-models-in-practice/)
- [What's next?](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-playbook-evaluate/07-what-is-next/)
- [Next Steps](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/neural-graphics-playbook-evaluate/_next-steps/)

## About this Learning Path

| Skill level:       | Introductory      |
|--------------------|-------------------|
| Reading time:      | 45 min            |
| Last updated:      | 02 Oct 2026       |

| Author:            | Annie Tallund, Arm [GitHub](https://github.com/annietllnd) [LinkedIn](https://linkedin.com/in/annietallund) |
|--------------------|-------------------|
| Arm IP:            | [Mali](https://support.arm.com/?tab=compute-ip&Product%20Type=Graphics%20Processors) [Immortalis](https://support.arm.com/?tab=compute-ip&Product%20Type=Graphics%20Processors) |
| Tags:              | [Graphics](https://learn.arm.com/tag/graphics) [Windows](https://learn.arm.com/tag/windows) [Unreal Engine](https://learn.arm.com/tag/unreal-engine) [Vulkan](https://learn.arm.com/tag/vulkan) [NX](https://learn.arm.com/tag/nx) |

## Who is this for?
This Learning Path is for game developers and graphics engineers evaluating Arm Neural Technology for mobile games.

## What will you learn?
Upon completion of this Learning Path, you will be able to:

- Understand why Arm Neural Technology matters for mobile games
- Learn what Arm built with Neural Dawn
- Evaluate whether Neural Frame Rate Upscaling (NFRU) and Neural Screen Space Denoising (NSSD) are a fit for your game

## Prerequisites
Before starting, you will need the following:

- Familiarity with game development in Unreal Engine
- Basic understanding of real-time rendering concepts (motion vectors, temporal techniques, denoising, upscaling)
- Awareness of mobile rendering constraints (bandwidth, power efficiency, thermal management)

## Summary
You’ll evaluate Arm Neural Technology for mobile games, focusing on NFRU and NSSD. First, you’ll review the Neural Graphics Development Kit, including Unreal Engine plugins, models, and its Vulkan runtime. Then, you’ll learn to assess fit for your content, camera behavior, and performance targets, and begin hands-on trials with the available components.

## Frequently asked questions
<details>
<summary>How do I know if NFRU or NSSD fits my game?</summary>
Evaluate your content type, camera behavior, and performance targets. These neural techniques aren’t equally useful everywhere, so weigh visual goals and runtime constraints specific to your project.
</details>

<details>
<summary>Which component should I try first when starting hands-on?</summary>
NFRU is a good entry point. Integrate the Unreal Engine plugin, enable it in your project, and evaluate it like any other rendering feature.
</details>

<details>
<summary>What can I run today without waiting for NX hardware?</summary>
You can start with NSSD and the Neural Graphics Development Kit today. The current runtime path is centered on Vulkan on Arm platforms.
</details>

<details>
<summary>Where do I get the plugins and models used in this evaluation?</summary>
Arm provides Unreal Engine plugins, an SDK, prebuilt models, and tooling, along with reference implementations and sample content in the Neural Graphics Development Kit. Use them to integrate and assess the techniques in your project.
</details>

<details>
<summary>What is Neural Dawn?</summary>
Neural Dawn is a mobile game built with Sumo Digital that showcases a rendering pipeline designed around neural graphics. It demonstrates high-fidelity visuals on mobile with a target of 60 FPS and helps set expectations for what these techniques can achieve.
</details>