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FastSam-X

Image Segmentation
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android
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metadata 
library_name: pytorch
license: other
tags:
  - android
pipeline_tag: image-segmentation

FastSam-X: Optimized for Qualcomm Devices

The Fast Segment Anything Model (FastSAM) is a novel, real-time CNN-based solution for the Segment Anything task. This task is designed to segment any object within an image based on various possible user interaction prompts. The model performs competitively despite significantly reduced computation, making it a practical choice for a variety of vision tasks.

This is based on the implementation of FastSam-X 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
ONNX float Universal QAIRT 2.42, ONNX Runtime 1.24.1 Download
QNN_DLC float Universal QAIRT 2.43 Download
TFLITE float Universal QAIRT 2.43, TFLite 2.17.0 Download

For more device-specific assets and performance metrics, visit FastSam-X 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 FastSam-X on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

  • Model checkpoint: fastsam-x.pt
  • Inference latency: RealTime
  • Input resolution: 640x640
  • Number of parameters: 72.2M
  • Model size (float): 276 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
FastSam-X ONNX float Snapdragon® X2 Elite 23.885 ms 139 - 139 MB NPU
FastSam-X ONNX float Snapdragon® X Elite 46.64 ms 138 - 138 MB NPU
FastSam-X ONNX float Snapdragon® 8 Gen 3 Mobile 36.048 ms 16 - 345 MB NPU
FastSam-X ONNX float Qualcomm® QCS8550 (Proxy) 46.008 ms 6 - 167 MB NPU
FastSam-X ONNX float Qualcomm® QCS9075 73.295 ms 10 - 18 MB NPU
FastSam-X ONNX float Snapdragon® 8 Elite For Galaxy Mobile 27.829 ms 11 - 249 MB NPU
FastSam-X ONNX float Snapdragon® 8 Elite Gen 5 Mobile 18.119 ms 16 - 263 MB NPU
FastSam-X QNN_DLC float Snapdragon® X2 Elite 22.92 ms 5 - 5 MB NPU
FastSam-X QNN_DLC float Snapdragon® X Elite 43.749 ms 5 - 5 MB NPU
FastSam-X QNN_DLC float Snapdragon® 8 Gen 3 Mobile 32.583 ms 3 - 305 MB NPU
FastSam-X QNN_DLC float Qualcomm® QCS8275 (Proxy) 279.781 ms 0 - 217 MB NPU
FastSam-X QNN_DLC float Qualcomm® QCS8550 (Proxy) 42.702 ms 5 - 10 MB NPU
FastSam-X QNN_DLC float Qualcomm® SA8775P 68.451 ms 1 - 216 MB NPU
FastSam-X QNN_DLC float Qualcomm® QCS9075 70.273 ms 5 - 15 MB NPU
FastSam-X QNN_DLC float Qualcomm® QCS8450 (Proxy) 92.539 ms 0 - 391 MB NPU
FastSam-X QNN_DLC float Qualcomm® SA7255P 279.781 ms 0 - 217 MB NPU
FastSam-X QNN_DLC float Qualcomm® SA8295P 77.495 ms 1 - 298 MB NPU
FastSam-X QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 25.239 ms 5 - 222 MB NPU
FastSam-X QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 17.227 ms 5 - 228 MB NPU
FastSam-X TFLITE float Snapdragon® 8 Gen 3 Mobile 32.622 ms 28 - 456 MB NPU
FastSam-X TFLITE float Qualcomm® QCS8275 (Proxy) 279.313 ms 4 - 264 MB NPU
FastSam-X TFLITE float Qualcomm® QCS8550 (Proxy) 41.844 ms 4 - 42 MB NPU
FastSam-X TFLITE float Qualcomm® SA8775P 67.917 ms 4 - 264 MB NPU
FastSam-X TFLITE float Qualcomm® QCS9075 70.048 ms 4 - 158 MB NPU
FastSam-X TFLITE float Qualcomm® QCS8450 (Proxy) 91.271 ms 0 - 522 MB NPU
FastSam-X TFLITE float Qualcomm® SA7255P 279.313 ms 4 - 264 MB NPU
FastSam-X TFLITE float Qualcomm® SA8295P 76.789 ms 4 - 343 MB NPU
FastSam-X TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 24.942 ms 3 - 270 MB NPU
FastSam-X TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 16.902 ms 0 - 266 MB NPU

License

  • The license for the original implementation of FastSam-X can be found here.

References

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