GR00TN1.5: Optimized for Qualcomm Devices
GR00T N1.5 is a vision-language-action (VLA) model for generalist robot control. The model supports multiple robot embodiments and is designed for dexterous, long-horizon manipulation tasks.
This is based on the implementation of GR00TN1.5 found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | QAIRT 2.45, ONNX Runtime 1.26.0 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | QAIRT 2.45, ONNX Runtime 1.26.0 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.45, ONNX Runtime 1.26.0 | Download |
| PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | QAIRT 2.45, ONNX Runtime 1.26.0 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Mobile | QAIRT 2.45, ONNX Runtime 1.26.0 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.45, ONNX Runtime 1.26.0 | Download |
| PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | QAIRT 2.45, ONNX Runtime 1.26.0 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Mobile | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | QAIRT 2.45 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | QAIRT 2.45 | Download |
For more device-specific assets and performance metrics, visit GR00TN1.5 on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations
This option is ideal if you need to customize the model beyond the default configuration provided here.
See our repository for GR00TN1.5 on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.robotics
Model Stats:
Input: RGB camera frames (one or more views), a natural language task instruction and robot proprioceptive state (joint positions/velocities).
Output: Action chunk representing predicted joint commands over the next N timesteps, generated via diffusion denoising.
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| dit | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 47.165 ms | 38 - 38 MB | NPU |
| dit | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 84.239 ms | 793 - 793 MB | NPU |
| dit | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 72.916 ms | 39 - 50 MB | NPU |
| dit | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | 92.866 ms | 0 - 856 MB | NPU |
| dit | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 61.769 ms | 1 - 13 MB | NPU |
| dit | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | 95.289 ms | 38 - 79 MB | NPU |
| dit | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Mobile | 66.491 ms | 1 - 13 MB | NPU |
| dit | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8750 | 66.491 ms | 1 - 13 MB | NPU |
| dit | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS7181 | 84.239 ms | 793 - 793 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 46.966 ms | 38 - 38 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 84.422 ms | 38 - 38 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 72.825 ms | 41 - 48 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 | 221.461 ms | 7 - 14 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | 91.616 ms | 39 - 40 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | 95.299 ms | 0 - 7 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 95.299 ms | 0 - 7 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 95.299 ms | 0 - 7 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 59.112 ms | 2 - 11 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | 111.771 ms | 38 - 78 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | 221.461 ms | 7 - 14 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Mobile | 61.694 ms | 0 - 10 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8750 | 61.694 ms | 0 - 10 MB | NPU |
| dit | QNN_CONTEXT_BINARY | float | Qualcomm® QCS7181 | 84.422 ms | 38 - 38 MB | NPU |
| llm | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 49.943 ms | 8 - 8 MB | NPU |
| llm | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 102.08 ms | 1156 - 1156 MB | NPU |
| llm | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 67.28 ms | 10 - 21 MB | NPU |
| llm | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | 98.754 ms | 0 - 1278 MB | NPU |
| llm | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 46.762 ms | 7 - 19 MB | NPU |
| llm | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | 127.925 ms | 6 - 13 MB | NPU |
| llm | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Mobile | 59.688 ms | 7 - 19 MB | NPU |
| llm | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8750 | 59.688 ms | 7 - 19 MB | NPU |
| llm | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS7181 | 102.08 ms | 1156 - 1156 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 49.932 ms | 4 - 4 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 102.44 ms | 4 - 4 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 67.132 ms | 4 - 10 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 | 415.764 ms | 1 - 8 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | 98.384 ms | 4 - 5 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | 128.29 ms | 1 - 8 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 128.29 ms | 1 - 8 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 128.29 ms | 1 - 8 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 47.076 ms | 3 - 11 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | 127.712 ms | 4 - 12 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | 415.764 ms | 1 - 8 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Mobile | 58.653 ms | 1 - 9 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8750 | 58.653 ms | 1 - 9 MB | NPU |
| llm | QNN_CONTEXT_BINARY | float | Qualcomm® QCS7181 | 102.44 ms | 4 - 4 MB | NPU |
| vit | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 17.666 ms | 5 - 5 MB | NPU |
| vit | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 41.821 ms | 801 - 801 MB | NPU |
| vit | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 28.105 ms | 5 - 16 MB | NPU |
| vit | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | 40.869 ms | 0 - 898 MB | NPU |
| vit | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 18.226 ms | 5 - 17 MB | NPU |
| vit | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | 54.48 ms | 4 - 7 MB | NPU |
| vit | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Mobile | 20.767 ms | 5 - 16 MB | NPU |
| vit | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8750 | 20.767 ms | 5 - 16 MB | NPU |
| vit | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS7181 | 41.821 ms | 801 - 801 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 17.934 ms | 1 - 1 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 41.905 ms | 1 - 1 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 27.291 ms | 1 - 8 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 | 188.188 ms | 1 - 8 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | 40.902 ms | 1 - 2 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | 54.54 ms | 1 - 8 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 54.54 ms | 1 - 8 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 54.54 ms | 1 - 8 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 17.109 ms | 1 - 10 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | 54.677 ms | 3 - 7 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | 188.188 ms | 1 - 8 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Mobile | 20.538 ms | 1 - 10 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8750 | 20.538 ms | 1 - 10 MB | NPU |
| vit | QNN_CONTEXT_BINARY | float | Qualcomm® QCS7181 | 41.905 ms | 1 - 1 MB | NPU |
| vlm_proj | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 18.622 ms | 134 - 134 MB | NPU |
| vlm_proj | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 40.594 ms | 464 - 464 MB | NPU |
| vlm_proj | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 30.583 ms | 100 - 112 MB | NPU |
| vlm_proj | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | 42.051 ms | 0 - 490 MB | NPU |
| vlm_proj | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 18.234 ms | 66 - 78 MB | NPU |
| vlm_proj | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | 54.059 ms | 21 - 45 MB | NPU |
| vlm_proj | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Mobile | 23.346 ms | 62 - 73 MB | NPU |
| vlm_proj | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8750 | 23.346 ms | 62 - 73 MB | NPU |
| vlm_proj | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS7181 | 40.594 ms | 464 - 464 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 18.936 ms | 21 - 21 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 40.69 ms | 21 - 21 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 29.254 ms | 21 - 28 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 | 173.54 ms | 21 - 29 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | 41.154 ms | 21 - 23 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | 52.647 ms | 21 - 29 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 52.647 ms | 21 - 29 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 52.647 ms | 21 - 29 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 17.809 ms | 3 - 12 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | 53.931 ms | 21 - 80 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | 173.54 ms | 21 - 29 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Mobile | 23.476 ms | 0 - 9 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8750 | 23.476 ms | 0 - 9 MB | NPU |
| vlm_proj | QNN_CONTEXT_BINARY | float | Qualcomm® QCS7181 | 40.69 ms | 21 - 21 MB | NPU |
License
- The license for the original implementation of GR00TN1.5 can be found here.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
Usage and Limitations
This model may not be used for or in connection with any of the following applications:
- Accessing essential private and public services and benefits;
- Administration of justice and democratic processes;
- Assessing or recognizing the emotional state of a person;
- Biometric and biometrics-based systems, including categorization of persons based on sensitive characteristics;
- Education and vocational training;
- Employment and workers management;
- Exploitation of the vulnerabilities of persons resulting in harmful behavior;
- General purpose social scoring;
- Law enforcement;
- Management and operation of critical infrastructure;
- Migration, asylum and border control management;
- Predictive policing;
- Real-time remote biometric identification in public spaces;
- Recommender systems of social media platforms;
- Scraping of facial images (from the internet or otherwise); and/or
- Subliminal manipulation
