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 2.45, ONNX Runtime 1.27.1	Download
QNN_DLC	float	Universal	QAIRT 2.45	Download
TFLITE	float	Universal	QAIRT 2.45	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:

Model checkpoint: save
Input resolution: 1x3x1024
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® X2 Elite	0.302 ms	1 - 1 MB	NPU
PointNet	ONNX	float	Snapdragon® X Elite	0.66 ms	7 - 7 MB	NPU
PointNet	ONNX	float	Snapdragon® 8 Gen 3 Mobile	0.401 ms	0 - 43 MB	NPU
PointNet	ONNX	float	Snapdragon® 8 Gen 1 Mobile	0.865 ms	0 - 49 MB	NPU
PointNet	ONNX	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.646 ms	0 - 85 MB	NPU
PointNet	ONNX	float	Qualcomm® QCS8450	0.865 ms	0 - 49 MB	NPU
PointNet	ONNX	float	Qualcomm® Dragonwing™ IQ-9075	0.804 ms	0 - 3 MB	NPU
PointNet	ONNX	float	Qualcomm® Dragonwing™ IQ-X7181	0.66 ms	7 - 7 MB	NPU
PointNet	ONNX	float	Qualcomm® Dragonwing™ Q-8750	0.42 ms	0 - 28 MB	NPU
PointNet	ONNX	float	Snapdragon® 8 Elite Mobile	0.42 ms	0 - 28 MB	NPU
PointNet	ONNX	float	Snapdragon® 8 Elite Gen 5 Mobile	0.324 ms	0 - 23 MB	NPU
PointNet	QNN_DLC	float	Snapdragon® X2 Elite	0.412 ms	0 - 0 MB	NPU
PointNet	QNN_DLC	float	Snapdragon® X Elite	0.771 ms	1 - 1 MB	NPU
PointNet	QNN_DLC	float	Snapdragon® 8 Gen 3 Mobile	0.418 ms	0 - 42 MB	NPU
PointNet	QNN_DLC	float	Snapdragon® 8 Gen 1 Mobile	0.865 ms	0 - 43 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8275	1.861 ms	0 - 24 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.661 ms	0 - 1 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® SA8775P	0.917 ms	0 - 25 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® SA8650P	0.917 ms	0 - 25 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® SA8255P	0.917 ms	0 - 25 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® QCS8450	0.865 ms	0 - 43 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-9075	0.812 ms	0 - 2 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® Dragonwing™ IQ-X7181	0.771 ms	1 - 1 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® Dragonwing™ Q-8750	0.482 ms	0 - 23 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® SA7255P	1.861 ms	0 - 24 MB	NPU
PointNet	QNN_DLC	float	Qualcomm® SA8295P	1.108 ms	0 - 21 MB	NPU
PointNet	QNN_DLC	float	Snapdragon® 8 Elite Mobile	0.482 ms	0 - 23 MB	NPU
PointNet	QNN_DLC	float	Snapdragon® 8 Elite Gen 5 Mobile	0.324 ms	0 - 23 MB	NPU
PointNet	TFLITE	float	Snapdragon® 8 Gen 3 Mobile	0.409 ms	0 - 41 MB	NPU
PointNet	TFLITE	float	Snapdragon® 8 Gen 1 Mobile	0.86 ms	0 - 47 MB	NPU
PointNet	TFLITE	float	Qualcomm® Dragonwing™ QCS8275	1.887 ms	0 - 24 MB	NPU
PointNet	TFLITE	float	Qualcomm® Dragonwing™ QCS8550 (Proxy)	0.665 ms	0 - 16 MB	NPU
PointNet	TFLITE	float	Qualcomm® SA8775P	0.922 ms	0 - 25 MB	NPU
PointNet	TFLITE	float	Qualcomm® SA8650P	0.922 ms	0 - 25 MB	NPU
PointNet	TFLITE	float	Qualcomm® SA8255P	0.922 ms	0 - 25 MB	NPU
PointNet	TFLITE	float	Qualcomm® QCS8450	0.86 ms	0 - 47 MB	NPU
PointNet	TFLITE	float	Qualcomm® Dragonwing™ IQ-9075	0.816 ms	0 - 8 MB	NPU
PointNet	TFLITE	float	Qualcomm® Dragonwing™ Q-8750	0.483 ms	0 - 24 MB	NPU
PointNet	TFLITE	float	Qualcomm® SA7255P	1.887 ms	0 - 24 MB	NPU
PointNet	TFLITE	float	Qualcomm® SA8295P	1.12 ms	0 - 21 MB	NPU
PointNet	TFLITE	float	Snapdragon® 8 Elite Mobile	0.483 ms	0 - 24 MB	NPU
PointNet	TFLITE	float	Snapdragon® 8 Elite Gen 5 Mobile	0.324 ms	0 - 24 MB	NPU

License

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

Community

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