SalsaNext: Optimized for Qualcomm Devices

SalsaNext is a LiDAR-based model designed for efficient and accurate semantic segmentation.

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
QNN_DLC w8a16 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 SalsaNext 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 SalsaNext on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

  • Model checkpoint: SalsaNext
  • Input resolution: 1x5x64x2048
  • Number of parameters: 6.71M
  • Model size (float): 25.7 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
SalsaNext ONNX float Snapdragon® X Elite 33.24 ms 33 - 33 MB NPU
SalsaNext ONNX float Snapdragon® 8 Gen 3 Mobile 27.18 ms 27 - 241 MB NPU
SalsaNext ONNX float Qualcomm® QCS8550 (Proxy) 34.597 ms 20 - 40 MB NPU
SalsaNext ONNX float Qualcomm® QCS9075 40.745 ms 23 - 25 MB NPU
SalsaNext ONNX float Snapdragon® 8 Elite For Galaxy Mobile 21.369 ms 23 - 155 MB NPU
SalsaNext ONNX float Snapdragon® 8 Elite Gen 5 Mobile 15.944 ms 26 - 164 MB NPU
SalsaNext QNN_DLC float Snapdragon® X Elite 30.095 ms 3 - 3 MB NPU
SalsaNext QNN_DLC float Snapdragon® 8 Gen 3 Mobile 22.357 ms 0 - 261 MB NPU
SalsaNext QNN_DLC float Qualcomm® QCS8275 (Proxy) 116.123 ms 1 - 176 MB NPU
SalsaNext QNN_DLC float Qualcomm® QCS8550 (Proxy) 30.828 ms 3 - 5 MB NPU
SalsaNext QNN_DLC float Qualcomm® QCS9075 40.105 ms 3 - 17 MB NPU
SalsaNext QNN_DLC float Qualcomm® QCS8450 (Proxy) 55.424 ms 0 - 296 MB NPU
SalsaNext QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 20.556 ms 3 - 186 MB NPU
SalsaNext QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 15.21 ms 3 - 191 MB NPU
SalsaNext QNN_DLC w8a16 Snapdragon® X Elite 43.137 ms 1 - 1 MB NPU
SalsaNext QNN_DLC w8a16 Snapdragon® 8 Gen 3 Mobile 34.328 ms 0 - 365 MB NPU
SalsaNext QNN_DLC w8a16 Qualcomm® QCS8550 (Proxy) 44.739 ms 1 - 4 MB NPU
SalsaNext QNN_DLC w8a16 Qualcomm® QCS9075 50.506 ms 1 - 9 MB NPU
SalsaNext QNN_DLC w8a16 Qualcomm® QCS8450 (Proxy) 82.609 ms 1 - 424 MB NPU
SalsaNext QNN_DLC w8a16 Snapdragon® 8 Elite For Galaxy Mobile 28.297 ms 1 - 275 MB NPU
SalsaNext QNN_DLC w8a16 Snapdragon® 8 Elite Gen 5 Mobile 19.552 ms 1 - 314 MB NPU
SalsaNext TFLITE float Snapdragon® 8 Gen 3 Mobile 22.149 ms 8 - 277 MB NPU
SalsaNext TFLITE float Qualcomm® QCS8275 (Proxy) 613.33 ms 8 - 37 MB GPU
SalsaNext TFLITE float Qualcomm® QCS8550 (Proxy) 30.525 ms 0 - 17 MB NPU
SalsaNext TFLITE float Qualcomm® QCS9075 39.65 ms 8 - 36 MB NPU
SalsaNext TFLITE float Qualcomm® QCS8450 (Proxy) 56.073 ms 10 - 310 MB NPU
SalsaNext TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 18.097 ms 9 - 192 MB NPU
SalsaNext TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 15.303 ms 10 - 198 MB NPU

License

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

Community

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support