---
library_name: pytorch
license: other
tags:
- foundation
- android
pipeline_tag: image-segmentation

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam2/web-assets/model_demo.png)

# Segment-Anything-Model-2: Optimized for Qualcomm Devices

SAM 2, the successor to Meta's Segment Anything Model (SAM), is a cutting-edge tool designed for comprehensive object segmentation in both images and videos. It excels in handling complex visual data through a unified, promptable model architecture that supports real-time processing and zero-shot generalization.

This is based on the implementation of Segment-Anything-Model-2 found [here](https://github.com/facebookresearch/sam2).
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/sam2) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) 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 |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam2/releases/v0.51.0/sam2-onnx-float.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam2/releases/v0.51.0/sam2-qnn_dlc-float.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sam2/releases/v0.51.0/sam2-qnn_dlc-w8a8.zip)

For more device-specific assets and performance metrics, visit **[Segment-Anything-Model-2 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sam2)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/sam2) 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 [Segment-Anything-Model-2 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/src/qai_hub_models/models/sam2) for usage instructions.

## Model Details

**Model Type:** Model_use_case.semantic_segmentation

**Model Stats:**
- Model checkpoint: sam2.1_hiera_t
- Input resolution: 720p (720x1280)
- Number of parameters (encoder): 33.5M
- Model size (encoder) (float): 128 MB
- Number of parameters (decoder): 6.22M
- Model size (decoder) (float): 23.7 MB

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| decoder | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.139 ms | 17 - 242 MB | NPU
| decoder | ONNX | float | Snapdragon® X2 Elite | 3.216 ms | 15 - 15 MB | NPU
| decoder | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 4.73 ms | 16 - 339 MB | NPU
| decoder | ONNX | float | Qualcomm® QCS8550 (Proxy) | 6.804 ms | 16 - 23 MB | NPU
| decoder | ONNX | float | Qualcomm® QCS9075 | 8.467 ms | 16 - 19 MB | NPU
| decoder | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 3.476 ms | 1 - 233 MB | NPU
| decoder | QNN_DLC | float | Snapdragon® X2 Elite | 3.112 ms | 16 - 16 MB | NPU
| decoder | QNN_DLC | float | Snapdragon® X Elite | 5.516 ms | 16 - 16 MB | NPU
| decoder | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.678 ms | 4 - 214 MB | NPU
| decoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 5.381 ms | 16 - 125 MB | NPU
| decoder | QNN_DLC | float | Qualcomm® QCS9075 | 6.811 ms | 16 - 34 MB | NPU
| decoder | QNN_DLC | float | Qualcomm® SA8295P | 8.166 ms | 0 - 193 MB | NPU
| decoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.899 ms | 4 - 189 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.877 ms | 1 - 109 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 1.259 ms | 4 - 4 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® X Elite | 2.319 ms | 4 - 4 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 1.297 ms | 0 - 110 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 8.252 ms | 1 - 7 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 3.891 ms | 4 - 88 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 2.025 ms | 4 - 113 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® SA8775P | 2.634 ms | 4 - 89 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 2.41 ms | 0 - 6 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 10.205 ms | 4 - 275 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 2.556 ms | 0 - 109 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® SA7255P | 3.891 ms | 4 - 88 MB | NPU
| decoder | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.959 ms | 4 - 108 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 1.029 ms | 1 - 89 MB | NPU
| decoder | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 2.663 ms | 4 - 215 MB | NPU
| encoder | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 97.534 ms | 44 - 2275 MB | NPU
| encoder | ONNX | float | Snapdragon® X2 Elite | 99.01 ms | 71 - 71 MB | NPU
| encoder | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 146.245 ms | 1 - 3808 MB | NPU
| encoder | ONNX | float | Qualcomm® QCS8550 (Proxy) | 199.079 ms | 0 - 88 MB | NPU
| encoder | ONNX | float | Qualcomm® QCS9075 | 273.038 ms | 12 - 26 MB | NPU
| encoder | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 113.051 ms | 33 - 1669 MB | NPU
| encoder | QNN_DLC | float | Snapdragon® X2 Elite | 107.977 ms | 12 - 12 MB | NPU
| encoder | QNN_DLC | float | Snapdragon® X Elite | 206.229 ms | 12 - 12 MB | NPU
| encoder | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 155.813 ms | 12 - 1967 MB | NPU
| encoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 215.599 ms | 12 - 16 MB | NPU
| encoder | QNN_DLC | float | Qualcomm® QCS9075 | 258.641 ms | 12 - 42 MB | NPU
| encoder | QNN_DLC | float | Qualcomm® SA8295P | 309.446 ms | 0 - 1671 MB | NPU
| encoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 119.576 ms | 0 - 1735 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 38.315 ms | 3 - 1810 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 40.925 ms | 3 - 3 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® X Elite | 84.916 ms | 3 - 3 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 57.396 ms | 0 - 1978 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 666.244 ms | 3 - 12 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 144.841 ms | 3 - 1664 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 82.328 ms | 3 - 6 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® SA8775P | 83.916 ms | 3 - 1664 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 102.775 ms | 3 - 12 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 1283.67 ms | 3 - 1971 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 141.394 ms | 3 - 2036 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® SA7255P | 144.841 ms | 3 - 1664 MB | NPU
| encoder | QNN_DLC | w8a8 | Qualcomm® SA8295P | 96.974 ms | 3 - 1672 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 42.794 ms | 3 - 1734 MB | NPU
| encoder | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 110.547 ms | 3 - 1774 MB | NPU

## License
* The license for the original implementation of Segment-Anything-Model-2 can be found
  [here](https://github.com/facebookresearch/sam2/blob/main/LICENSE).

## References
* [SAM 2 Segment Anything in Images and Videos](https://arxiv.org/abs/2408.00714)
* [Source Model Implementation](https://github.com/facebookresearch/sam2)

## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).