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FRDM i.MX 95 Pro Hands-On: GoPoint — Running Pre-Built Demos

FRDM i.MX 95 Pro · Hands-On Series

GoPoint — Running Pre-Built Demos

September 2026  |  FRDM i.MX 95 Pro Hands-On Series

 

Introduction

Discover what your FRDM i.MX 95 Pro can do — right out of the box. This hands-on walks you through the full range of pre-built demo categories available through GoPoint on the FRDM i.MX 95 Pro board. From neural processing and machine learning to GPU-accelerated graphics, each demo showcases the real-world capabilities of NXP's i.MX 95 application processor — no custom code required.

The hands-on covers the following topics:

  • Launching GoPoint on the Weston desktop
  • Exploring the available demo categories (NPU, ML, GPU)
  • Running NPU demos with the Ara240 module
  • Running ML and GPU demos

By the end of this hands-on, you will be able to:

  • Navigate the GoPoint interface on Weston
  • Identify the available demo categories (NPU, ML, and GPU)
  • Launch and run pre-built demos on your FRDM i.MX 95 Pro board
  • Understand the hardware requirements for each demo type

 

Hardware & Prerequisites

Before starting, make sure you have the following items ready:

Required Hardware

  • FRDM-IMX95-PRO board (booted from eMMC)
  • HDMI display
  • Mouse
  • Keyboard
  • USB camera
  • Ara240 module (required for NPU demos)

Optional Hardware

  • EXPI-OS08A20 camera module — covered in the separate EXPI-OS08A20 Camera + ISP Pipeline hands-on
Note: The board must be booted from eMMC with the pre-loaded BSP image before launching GoPoint. Ensure your display is connected via HDMI before powering on.

 

Watch the Hands-On Video

A complete video walkthrough accompanies this hands-on. It demonstrates every step shown below — from opening GoPoint on Weston to running NPU, ML, and GPU demos live on the board. Watch it alongside the written steps for the best learning experience.

This video is currently being processed. Please try again in a few minutes.
(view in My Videos)

 

Steps to Run the Hands-On

Follow the steps below to explore GoPoint and run the pre-built demos on your board.

Step 1 — Launch GoPoint on Weston

After the board boots into the Weston desktop environment, locate the GoPoint application icon on the desktop or in the application launcher. Click it to open the GoPoint demo browser. GoPoint provides a graphical interface that organises all available demos by category, making it easy to browse and launch them without any command-line interaction.

Step 2 — Explore the Demo Categories

Once GoPoint is open, you will see the main demo category tiles. The three primary categories available on the FRDM i.MX 95 Pro are:

  • NPU Demos — Neural Processing Unit demos that leverage the Ara240 module for hardware-accelerated AI inference
  • ML Demos — Machine learning demos running on the i.MX 95 application processor
  • GPU Demos — Graphics Processing Unit demos showcasing GPU-accelerated rendering and compute

Browse each category to see the individual demos available. Each demo tile shows its name, a brief description, and any special hardware it requires.

Step 3 — Run NPU Demos (Ara240 Required)

NPU demos require the Ara240 module to be attached to the board. Select any NPU demo from the GoPoint interface and click Run. GoPoint will automatically load the required AI model and launch the demo. The Ara240 module handles the neural network inference, delivering real-time results on-screen.

Note: If AI/ML models are not yet present on the board, run the fetch_models command first (see the Troubleshooting section below).

Step 4 — Run ML Demos

ML demos run directly on the i.MX 95 application processor and do not require the Ara240 module. Select an ML demo from the GoPoint interface and click Run. These demos cover a range of machine learning use cases including image classification, object detection, and more.

Step 5 — Run GPU Demos

GPU demos showcase the graphics and compute capabilities of the i.MX 95's integrated GPU. Select a GPU demo from the GoPoint interface and click Run. These demos include GPU-accelerated graphics rendering and visual effects that highlight the board's multimedia performance.

 

Troubleshooting

If you encounter issues while running GoPoint demos, use the table below to identify the symptom and the recommended action.

Symptom What to Check
Missing AI/ML models — demo fails to start or reports missing model files Fetch the required models using the commands below. Use --list to see available models and --repo-id to fetch a specific one:
# List available models
fetch_models --list

# Fetch a specific model by repository ID
fetch_models --repo-id
Cannot download software requirements — network or SSL errors during model download The board's system clock may be incorrect, causing certificate validation to fail. Set the correct date and time, then retry:
# Set the system date (replace with current date/time)
date -s "MM/DD/YYYY HH:MM:SS"
Board freeze — the board becomes unresponsive during a demo Reboot the board:
reboot
Corrupt download — a demo crashes immediately or shows unexpected errors after model download Remove the Python virtual environment (venv) for the affected demo and re-run it so GoPoint recreates a clean environment. The venv directory is located inside the demo's working folder.
# Remove the venv of the corresponding demo, then relaunch it from GoPoint

 

Conclusion

In this hands-on you explored the GoPoint application on the FRDM i.MX 95 Pro board and ran pre-built demos across three hardware-accelerated categories:

  • Launched and navigated the GoPoint interface on the Weston desktop
  • Ran NPU demos using the Ara240 neural processing module
  • Ran ML demos on the i.MX 95 application processor
  • Ran GPU demos showcasing the board's graphics capabilities
  • Learned how to fetch AI/ML models and resolve common setup issues

For a full visual walkthrough, watch the video in the Watch the Hands-On Video section above. To continue your learning journey, visit the FRDM i.MX 95 Pro Training Hub for the complete series of hands-on modules covering camera pipelines, connectivity, security, and more.

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