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PointNet

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v0.64.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.64.0 for changelog.

Files changed (2) hide show
  1. README.md +48 -45
  2. release_assets.json +5 -5
README.md CHANGED
@@ -14,7 +14,7 @@ pipeline_tag: image-segmentation
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  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.
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- This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/pointnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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@@ -27,23 +27,23 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
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  |---|---|---|---|---|
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- | ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.63.0/pointnet-onnx-float.zip)
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- | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.63.0/pointnet-qnn_dlc-float.zip)
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- | TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.63.0/pointnet-tflite-float.zip)
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  For more device-specific assets and performance metrics, visit **[PointNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/pointnet)**.
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  ### Option 2: Export with Custom Configurations
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- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/pointnet) Python library to compile and export the model with your own:
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  - Custom weights (e.g., fine-tuned checkpoints)
41
  - Custom input shapes
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  - Target device and runtime configurations
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44
  This option is ideal if you need to customize the model beyond the default configuration provided here.
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- See our repository for [PointNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/pointnet) for usage instructions.
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  ## Model Details
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@@ -57,45 +57,48 @@ See our repository for [PointNet on GitHub](https://github.com/qualcomm/ai-hub-m
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  ## Performance Summary
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  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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  |---|---|---|---|---|---|---
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- | PointNet | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.282 ms | 0 - 28 MB | NPU
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- | PointNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.373 ms | 0 - 28 MB | NPU
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- | PointNet | ONNX | float | Snapdragon® X2 Elite | 0.253 ms | 1 - 1 MB | NPU
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- | PointNet | ONNX | float | Snapdragon® X Elite | 0.559 ms | 7 - 7 MB | NPU
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- | PointNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.359 ms | 0 - 47 MB | NPU
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- | PointNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 0.695 ms | 0 - 53 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 0.687 ms | 0 - 4 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.559 ms | 0 - 9 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® QCS8450 | 0.695 ms | 0 - 53 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 0.735 ms | 0 - 3 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.559 ms | 7 - 7 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.373 ms | 0 - 28 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.278 ms | 0 - 28 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.417 ms | 0 - 31 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.351 ms | 0 - 0 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® X Elite | 0.703 ms | 0 - 0 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.361 ms | 0 - 47 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 0.713 ms | 0 - 53 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 0.671 ms | 0 - 3 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.586 ms | 0 - 1 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® QCS8450 | 0.713 ms | 0 - 53 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 0.719 ms | 0 - 2 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.703 ms | 0 - 0 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.417 ms | 0 - 31 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® SA8295P | 0.895 ms | 0 - 25 MB | NPU
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- | PointNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.287 ms | 0 - 28 MB | NPU
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- | PointNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.419 ms | 0 - 28 MB | NPU
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- | PointNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.367 ms | 0 - 47 MB | NPU
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- | PointNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 0.699 ms | 0 - 52 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 0.682 ms | 0 - 10 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.574 ms | 0 - 2 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® SA8775P | 0.826 ms | 0 - 30 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® SA8650P | 0.826 ms | 0 - 30 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® SA8255P | 0.826 ms | 0 - 30 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® QCS8450 | 0.699 ms | 0 - 52 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 0.727 ms | 0 - 9 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.419 ms | 0 - 28 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® SA7255P | 1.721 ms | 0 - 29 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® SA8295P | 0.902 ms | 0 - 26 MB | NPU
 
 
 
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  ## License
101
  * The license for the original implementation of PointNet can be found
 
14
 
15
  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.
16
 
17
+ This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/pointnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
18
 
19
  Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
20
 
 
27
 
28
  | Runtime | Precision | Chipset | SDK Versions | Download |
29
  |---|---|---|---|---|
30
+ | ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.64.0/pointnet-onnx-float.zip)
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+ | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.64.0/pointnet-qnn_dlc-float.zip)
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+ | TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.64.0/pointnet-tflite-float.zip)
33
 
34
  For more device-specific assets and performance metrics, visit **[PointNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/pointnet)**.
35
 
36
 
37
  ### Option 2: Export with Custom Configurations
38
 
39
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/pointnet) Python library to compile and export the model with your own:
40
  - Custom weights (e.g., fine-tuned checkpoints)
41
  - Custom input shapes
42
  - Target device and runtime configurations
43
 
44
  This option is ideal if you need to customize the model beyond the default configuration provided here.
45
 
46
+ See our repository for [PointNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/pointnet) for usage instructions.
47
 
48
  ## Model Details
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  ## Performance Summary
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  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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  |---|---|---|---|---|---|---
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+ | PointNet | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.283 ms | 0 - 30 MB | NPU
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+ | PointNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.376 ms | 0 - 33 MB | NPU
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+ | PointNet | ONNX | float | Snapdragon® X2 Elite | 0.255 ms | 1 - 1 MB | NPU
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+ | PointNet | ONNX | float | Snapdragon® X Elite | 0.561 ms | 7 - 7 MB | NPU
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+ | PointNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.362 ms | 0 - 47 MB | NPU
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+ | PointNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 0.689 ms | 0 - 53 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 0.676 ms | 0 - 4 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.556 ms | 0 - 8 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® QCS8450 | 0.689 ms | 0 - 53 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 0.724 ms | 0 - 3 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.561 ms | 7 - 7 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.376 ms | 0 - 33 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.281 ms | 0 - 28 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.42 ms | 0 - 27 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.364 ms | 0 - 0 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® X Elite | 0.695 ms | 0 - 0 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.374 ms | 0 - 46 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 0.713 ms | 0 - 48 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 0.649 ms | 0 - 3 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.585 ms | 0 - 15 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® SA8775P | 0.81 ms | 0 - 30 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® SA8650P | 0.81 ms | 0 - 30 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® SA8255P | 0.81 ms | 0 - 30 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® QCS8450 | 0.713 ms | 0 - 48 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 0.718 ms | 0 - 2 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.695 ms | 0 - 0 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.42 ms | 0 - 27 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® SA7255P | 1.806 ms | 0 - 29 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® SA8295P | 0.893 ms | 0 - 25 MB | NPU
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+ | PointNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.288 ms | 0 - 28 MB | NPU
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+ | PointNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.419 ms | 0 - 27 MB | NPU
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+ | PointNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.364 ms | 0 - 46 MB | NPU
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+ | PointNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 0.701 ms | 0 - 53 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 0.68 ms | 0 - 10 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.574 ms | 0 - 1 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® SA8775P | 0.829 ms | 0 - 30 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® SA8650P | 0.829 ms | 0 - 30 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® SA8255P | 0.829 ms | 0 - 30 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® QCS8450 | 0.701 ms | 0 - 53 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 0.722 ms | 0 - 9 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.419 ms | 0 - 27 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® SA8295P | 0.918 ms | 0 - 25 MB | NPU
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103
  ## License
104
  * The license for the original implementation of PointNet can be found
release_assets.json CHANGED
@@ -1,26 +1,26 @@
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  {
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- "version": "0.63.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.50.0.260828221209",
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- "onnx_runtime": "1.27.1"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.63.0/pointnet-onnx-float.zip"
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  },
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  "qnn_dlc": {
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  "tool_versions": {
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  "qairt": "2.50.0.260828221209"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.63.0/pointnet-qnn_dlc-float.zip"
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  },
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  "tflite": {
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  "tool_versions": {
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  "qairt": "2.50.0.260828221209"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.63.0/pointnet-tflite-float.zip"
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  }
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  }
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  }
 
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  {
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+ "version": "0.64.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
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  "onnx": {
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  "tool_versions": {
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  "qairt": "2.50.0.260828221209",
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+ "onnx_runtime": "1.30.0"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.64.0/pointnet-onnx-float.zip"
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  },
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  "qnn_dlc": {
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  "tool_versions": {
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  "qairt": "2.50.0.260828221209"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.64.0/pointnet-qnn_dlc-float.zip"
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  },
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  "tflite": {
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  "tool_versions": {
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  "qairt": "2.50.0.260828221209"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.64.0/pointnet-tflite-float.zip"
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  }
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  }
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  }