PointNet: Optimized for Qualcomm Devices

PointNet is a pioneering neural network architecture designed to directly consume unordered point cloud data for tasks such as classification and segmentation. It learns spatial features from raw 3D points without requiring voxelization or image projections.

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 2.50, ONNX Runtime 1.30.0 Download
QNN_DLC float Universal QAIRT 2.50 Download
TFLITE float Universal QAIRT 2.50 Download

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

Model Details

Model Type: Model_use_case.semantic_segmentation

Model Stats:

  • Input resolution: 1x3x1024
  • Model checkpoint: save
  • Model size: 13.2 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
PointNet ONNX float Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 0.283 ms 0 - 30 MB NPU
PointNet ONNX float Snapdragon® 8 Elite For Galaxy Mobile 0.376 ms 0 - 33 MB NPU
PointNet ONNX float Snapdragon® X2 Elite 0.255 ms 1 - 1 MB NPU
PointNet ONNX float Snapdragon® X Elite 0.561 ms 7 - 7 MB NPU
PointNet ONNX float Snapdragon® 8 Gen 3 Mobile 0.362 ms 0 - 47 MB NPU
PointNet ONNX float Snapdragon® 8 Gen 1 Mobile 0.689 ms 0 - 53 MB NPU
PointNet ONNX float Qualcomm® Dragonwing™ IQ-8275 0.676 ms 0 - 4 MB NPU
PointNet ONNX float Qualcomm® Dragonwing™ QCS8550 (Proxy) 0.556 ms 0 - 8 MB NPU
PointNet ONNX float Qualcomm® QCS8450 0.689 ms 0 - 53 MB NPU
PointNet ONNX float Qualcomm® Dragonwing™ IQ-9075 0.724 ms 0 - 3 MB NPU
PointNet ONNX float Qualcomm® Dragonwing™ IQ-X7181 0.561 ms 7 - 7 MB NPU
PointNet ONNX float Qualcomm® Dragonwing™ Q-8750 0.376 ms 0 - 33 MB NPU
PointNet QNN_DLC float Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 0.281 ms 0 - 28 MB NPU
PointNet QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 0.42 ms 0 - 27 MB NPU
PointNet QNN_DLC float Snapdragon® X2 Elite 0.364 ms 0 - 0 MB NPU
PointNet QNN_DLC float Snapdragon® X Elite 0.695 ms 0 - 0 MB NPU
PointNet QNN_DLC float Snapdragon® 8 Gen 3 Mobile 0.374 ms 0 - 46 MB NPU
PointNet QNN_DLC float Snapdragon® 8 Gen 1 Mobile 0.713 ms 0 - 48 MB NPU
PointNet QNN_DLC float Qualcomm® Dragonwing™ IQ-8275 0.649 ms 0 - 3 MB NPU
PointNet QNN_DLC float Qualcomm® Dragonwing™ QCS8550 (Proxy) 0.585 ms 0 - 15 MB NPU
PointNet QNN_DLC float Qualcomm® SA8775P 0.81 ms 0 - 30 MB NPU
PointNet QNN_DLC float Qualcomm® SA8650P 0.81 ms 0 - 30 MB NPU
PointNet QNN_DLC float Qualcomm® SA8255P 0.81 ms 0 - 30 MB NPU
PointNet QNN_DLC float Qualcomm® QCS8450 0.713 ms 0 - 48 MB NPU
PointNet QNN_DLC float Qualcomm® Dragonwing™ IQ-9075 0.718 ms 0 - 2 MB NPU
PointNet QNN_DLC float Qualcomm® Dragonwing™ IQ-X7181 0.695 ms 0 - 0 MB NPU
PointNet QNN_DLC float Qualcomm® Dragonwing™ Q-8750 0.42 ms 0 - 27 MB NPU
PointNet QNN_DLC float Qualcomm® SA7255P 1.806 ms 0 - 29 MB NPU
PointNet QNN_DLC float Qualcomm® SA8295P 0.893 ms 0 - 25 MB NPU
PointNet TFLITE float Snapdragon® 8 Elite Gen 5 For Galaxy Mobile 0.288 ms 0 - 28 MB NPU
PointNet TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 0.419 ms 0 - 27 MB NPU
PointNet TFLITE float Snapdragon® 8 Gen 3 Mobile 0.364 ms 0 - 46 MB NPU
PointNet TFLITE float Snapdragon® 8 Gen 1 Mobile 0.701 ms 0 - 53 MB NPU
PointNet TFLITE float Qualcomm® Dragonwing™ IQ-8275 0.68 ms 0 - 10 MB NPU
PointNet TFLITE float Qualcomm® Dragonwing™ QCS8550 (Proxy) 0.574 ms 0 - 1 MB NPU
PointNet TFLITE float Qualcomm® SA8775P 0.829 ms 0 - 30 MB NPU
PointNet TFLITE float Qualcomm® SA8650P 0.829 ms 0 - 30 MB NPU
PointNet TFLITE float Qualcomm® SA8255P 0.829 ms 0 - 30 MB NPU
PointNet TFLITE float Qualcomm® QCS8450 0.701 ms 0 - 53 MB NPU
PointNet TFLITE float Qualcomm® Dragonwing™ IQ-9075 0.722 ms 0 - 9 MB NPU
PointNet TFLITE float Qualcomm® Dragonwing™ Q-8750 0.419 ms 0 - 27 MB NPU
PointNet TFLITE float Qualcomm® SA8295P 0.918 ms 0 - 25 MB NPU

License

  • The license for the original implementation of PointNet 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