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PointNet

Image Segmentation
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v0.62.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.62.0 for changelog.

Files changed (2) hide show
  1. README.md +46 -48
  2. release_assets.json +4 -4
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/v0.61.0/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 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.61.0/pointnet-onnx-float.zip)
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- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.61.0/pointnet-qnn_dlc-float.zip)
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- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.61.0/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
38
 
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- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/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/v0.61.0/src/qai_hub_models/models/pointnet) for usage instructions.
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  ## Model Details
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@@ -57,49 +57,47 @@ 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® X2 Elite | 0.304 ms | 1 - 1 MB | NPU
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- | PointNet | ONNX | float | Snapdragon® X Elite | 0.661 ms | 7 - 7 MB | NPU
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- | PointNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.406 ms | 0 - 42 MB | NPU
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- | PointNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 0.869 ms | 0 - 46 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 0.74 ms | 0 - 3 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.651 ms | 0 - 21 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® QCS8450 | 0.869 ms | 0 - 46 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 0.807 ms | 0 - 3 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.661 ms | 7 - 7 MB | NPU
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- | PointNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.42 ms | 0 - 28 MB | NPU
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- | PointNet | ONNX | float | Snapdragon® 8 Elite Mobile | 0.42 ms | 0 - 28 MB | NPU
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- | PointNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.324 ms | 0 - 23 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.409 ms | 1 - 1 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® X Elite | 0.782 ms | 1 - 1 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.417 ms | 0 - 42 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 0.866 ms | 0 - 47 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 0.731 ms | 0 - 2 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.847 ms | 0 - 24 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.666 ms | 0 - 2 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® SA8775P | 0.916 ms | 0 - 25 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® SA8650P | 0.916 ms | 0 - 25 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® SA8255P | 0.916 ms | 0 - 25 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® QCS8450 | 0.866 ms | 0 - 47 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 0.814 ms | 0 - 2 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.782 ms | 1 - 1 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.48 ms | 0 - 27 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® SA7255P | 1.847 ms | 0 - 24 MB | NPU
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- | PointNet | QNN_DLC | float | Qualcomm® SA8295P | 1.114 ms | 0 - 21 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.48 ms | 0 - 27 MB | NPU
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- | PointNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.32 ms | 0 - 24 MB | NPU
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- | PointNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.411 ms | 0 - 41 MB | NPU
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- | PointNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 0.859 ms | 0 - 47 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 0.754 ms | 0 - 9 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.881 ms | 0 - 24 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.664 ms | 0 - 17 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® SA8775P | 0.92 ms | 0 - 25 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® SA8650P | 0.92 ms | 0 - 25 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® SA8255P | 0.92 ms | 0 - 25 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® QCS8450 | 0.859 ms | 0 - 47 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 0.812 ms | 0 - 8 MB | NPU
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  | PointNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.483 ms | 0 - 28 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® SA7255P | 1.881 ms | 0 - 24 MB | NPU
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- | PointNet | TFLITE | float | Qualcomm® SA8295P | 1.138 ms | 0 - 22 MB | NPU
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  | PointNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.483 ms | 0 - 28 MB | NPU
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  | PointNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.321 ms | 0 - 24 MB | NPU
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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/v0.62.0/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 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.62.0/pointnet-onnx-float.zip)
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+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.62.0/pointnet-qnn_dlc-float.zip)
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+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pointnet/releases/v0.62.0/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/v0.62.0/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/v0.62.0/src/qai_hub_models/models/pointnet) for usage instructions.
47
 
48
  ## Model Details
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57
  ## Performance Summary
58
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
59
  |---|---|---|---|---|---|---
60
+ | PointNet | ONNX | float | Snapdragon® X2 Elite | 0.302 ms | 1 - 1 MB | NPU
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+ | PointNet | ONNX | float | Snapdragon® X Elite | 0.656 ms | 7 - 7 MB | NPU
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+ | PointNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.399 ms | 0 - 43 MB | NPU
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+ | PointNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 0.869 ms | 0 - 48 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 0.765 ms | 0 - 3 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.648 ms | 0 - 27 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® QCS8450 | 0.869 ms | 0 - 48 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 0.804 ms | 0 - 3 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.656 ms | 7 - 7 MB | NPU
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+ | PointNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.419 ms | 0 - 27 MB | NPU
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+ | PointNet | ONNX | float | Snapdragon® 8 Elite Mobile | 0.419 ms | 0 - 27 MB | NPU
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+ | PointNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.318 ms | 0 - 23 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.439 ms | 1 - 1 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® X Elite | 0.768 ms | 1 - 1 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.414 ms | 0 - 42 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 0.861 ms | 0 - 47 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 0.734 ms | 0 - 2 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.662 ms | 0 - 1 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® SA8775P | 0.907 ms | 0 - 25 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® SA8650P | 0.907 ms | 0 - 25 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® SA8255P | 0.907 ms | 0 - 25 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® QCS8450 | 0.861 ms | 0 - 47 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 0.815 ms | 0 - 2 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.768 ms | 1 - 1 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.48 ms | 0 - 23 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® SA7255P | 1.869 ms | 0 - 24 MB | NPU
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+ | PointNet | QNN_DLC | float | Qualcomm® SA8295P | 1.097 ms | 0 - 20 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.48 ms | 0 - 23 MB | NPU
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+ | PointNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.32 ms | 0 - 25 MB | NPU
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+ | PointNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.412 ms | 0 - 41 MB | NPU
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+ | PointNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 0.858 ms | 0 - 46 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 0.757 ms | 0 - 9 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.662 ms | 0 - 1 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® SA8775P | 0.929 ms | 0 - 25 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® SA8650P | 0.929 ms | 0 - 25 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® SA8255P | 0.929 ms | 0 - 25 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® QCS8450 | 0.858 ms | 0 - 46 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 0.819 ms | 0 - 8 MB | NPU
 
 
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  | PointNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.483 ms | 0 - 28 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® SA7255P | 1.88 ms | 0 - 24 MB | NPU
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+ | PointNet | TFLITE | float | Qualcomm® SA8295P | 1.125 ms | 0 - 21 MB | NPU
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  | PointNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.483 ms | 0 - 28 MB | NPU
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  | PointNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.321 ms | 0 - 24 MB | NPU
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release_assets.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "version": "0.61.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
@@ -8,19 +8,19 @@
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  "qairt": "2.45.0.260326154327",
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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/v0.61.0/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": "2.45.0.260326154327"
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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/v0.61.0/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": "2.45.0.260326154327"
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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/v0.61.0/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": "0.62.0",
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  "precisions": {
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  "float": {
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  "universal_assets": {
 
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  "qairt": "2.45.0.260326154327",
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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/v0.62.0/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": "2.45.0.260326154327"
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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/v0.62.0/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": "2.45.0.260326154327"
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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/v0.62.0/pointnet-tflite-float.zip"
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  }
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  }
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  }