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

MobileSam: Optimized for Qualcomm Devices

Transformer based encoder-decoder where prompts specify what to segment in an image thereby allowing segmentation without the need for additional training. The image encoder generates embeddings and the lightweight decoder operates on the embeddings for point and mask based image segmentation.

This is based on the implementation of MobileSam 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 2.37, ONNX Runtime 1.23.0 Download
QNN_DLC float Universal QAIRT 2.42 Download
TFLITE float Universal QAIRT 2.42, TFLite 2.17.0 Download

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

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

  • Model checkpoint: vit_t
  • Input resolution: 720p (720x1280)
  • Number of parameters (SAMEncoder): 6.95M
  • Model size (SAMEncoder) (float): 26.6 MB
  • Number of parameters (SAMDecoder): 6.16M
  • Model size (SAMDecoder) (float): 23.7 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
MobileSAMDecoder ONNX float Snapdragon® 8 Gen 3 Mobile 5.734 ms 5 - 218 MB NPU
MobileSAMDecoder ONNX float Qualcomm® QCS8550 (Proxy) 8.389 ms 4 - 230 MB NPU
MobileSAMDecoder ONNX float Qualcomm® QCS9075 10.04 ms 4 - 7 MB NPU
MobileSAMDecoder ONNX float Snapdragon® 8 Elite For Galaxy Mobile 4.263 ms 2 - 180 MB NPU
MobileSAMDecoder ONNX float Snapdragon® 8 Elite Gen 5 Mobile 3.481 ms 0 - 186 MB NPU
MobileSAMDecoder QNN_DLC float Snapdragon® X Elite 5.137 ms 4 - 4 MB NPU
MobileSAMDecoder QNN_DLC float Snapdragon® 8 Gen 3 Mobile 3.319 ms 4 - 230 MB NPU
MobileSAMDecoder QNN_DLC float Qualcomm® QCS8275 (Proxy) 11.595 ms 2 - 199 MB NPU
MobileSAMDecoder QNN_DLC float Qualcomm® QCS8550 (Proxy) 4.692 ms 4 - 6 MB NPU
MobileSAMDecoder QNN_DLC float Qualcomm® SA8775P 5.737 ms 1 - 200 MB NPU
MobileSAMDecoder QNN_DLC float Qualcomm® QCS8450 (Proxy) 8.499 ms 0 - 222 MB NPU
MobileSAMDecoder QNN_DLC float Qualcomm® SA7255P 11.595 ms 2 - 199 MB NPU
MobileSAMDecoder QNN_DLC float Qualcomm® SA8295P 7.157 ms 0 - 193 MB NPU
MobileSAMDecoder QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 2.538 ms 0 - 198 MB NPU
MobileSAMDecoder QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 2.182 ms 4 - 203 MB NPU
MobileSAMDecoder TFLITE float Snapdragon® 8 Gen 3 Mobile 3.854 ms 0 - 237 MB NPU
MobileSAMDecoder TFLITE float Qualcomm® QCS8275 (Proxy) 12.771 ms 0 - 208 MB NPU
MobileSAMDecoder TFLITE float Qualcomm® QCS8550 (Proxy) 5.561 ms 0 - 18 MB NPU
MobileSAMDecoder TFLITE float Qualcomm® SA8775P 6.547 ms 0 - 209 MB NPU
MobileSAMDecoder TFLITE float Qualcomm® QCS8450 (Proxy) 9.544 ms 0 - 225 MB NPU
MobileSAMDecoder TFLITE float Qualcomm® SA7255P 12.771 ms 0 - 208 MB NPU
MobileSAMDecoder TFLITE float Qualcomm® SA8295P 8.152 ms 0 - 205 MB NPU
MobileSAMDecoder TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 2.935 ms 0 - 209 MB NPU
MobileSAMEncoder ONNX float Snapdragon® 8 Gen 3 Mobile 254.846 ms 128 - 866 MB NPU
MobileSAMEncoder ONNX float Qualcomm® QCS8550 (Proxy) 341.905 ms 114 - 116 MB NPU
MobileSAMEncoder ONNX float Qualcomm® QCS9075 414.464 ms 68 - 71 MB NPU
MobileSAMEncoder ONNX float Snapdragon® 8 Elite For Galaxy Mobile 185.472 ms 117 - 762 MB NPU
MobileSAMEncoder ONNX float Snapdragon® 8 Elite Gen 5 Mobile 152.087 ms 130 - 692 MB NPU
MobileSAMEncoder QNN_DLC float Snapdragon® X Elite 99.194 ms 12 - 12 MB NPU
MobileSAMEncoder QNN_DLC float Snapdragon® 8 Gen 3 Mobile 65.564 ms 11 - 1629 MB NPU
MobileSAMEncoder QNN_DLC float Qualcomm® QCS8275 (Proxy) 209.778 ms 0 - 1209 MB NPU
MobileSAMEncoder QNN_DLC float Qualcomm® QCS8550 (Proxy) 96.271 ms 12 - 16 MB NPU
MobileSAMEncoder QNN_DLC float Qualcomm® SA8775P 102.588 ms 0 - 1614 MB NPU
MobileSAMEncoder QNN_DLC float Qualcomm® QCS8450 (Proxy) 467.917 ms 12 - 1732 MB NPU
MobileSAMEncoder QNN_DLC float Qualcomm® SA7255P 209.778 ms 0 - 1209 MB NPU
MobileSAMEncoder QNN_DLC float Qualcomm® SA8295P 474.029 ms 0 - 1248 MB NPU
MobileSAMEncoder QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 49.974 ms 12 - 1214 MB NPU
MobileSAMEncoder QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 44.853 ms 11 - 1322 MB NPU
MobileSAMEncoder TFLITE float Snapdragon® 8 Gen 3 Mobile 127.122 ms 4 - 1521 MB NPU
MobileSAMEncoder TFLITE float Qualcomm® QCS8275 (Proxy) 292.444 ms 4 - 1275 MB NPU
MobileSAMEncoder TFLITE float Qualcomm® QCS8550 (Proxy) 176.108 ms 0 - 3 MB NPU
MobileSAMEncoder TFLITE float Qualcomm® SA8775P 180.445 ms 4 - 1275 MB NPU
MobileSAMEncoder TFLITE float Qualcomm® QCS8450 (Proxy) 588.02 ms 0 - 3179 MB NPU
MobileSAMEncoder TFLITE float Qualcomm® SA7255P 292.444 ms 4 - 1275 MB NPU
MobileSAMEncoder TFLITE float Qualcomm® SA8295P 504.031 ms 4 - 1899 MB NPU
MobileSAMEncoder TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 96.546 ms 3 - 1271 MB NPU

License

  • The license for the original implementation of MobileSam can be found here.

References

Community