Image Classification
PyTorch
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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 +49 -51
  2. release_assets.json +4 -4
README.md CHANGED
@@ -15,7 +15,7 @@ pipeline_tag: image-classification
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  NASNet is a CNN-based architecture discovered via Neural Architecture Search (NAS) that can classify images from the Imagenet dataset.
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17
  This is based on the implementation of NASNet found [here](https://github.com/huggingface/pytorch-image-models/tree/main).
18
- 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/nasnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
19
 
20
  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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@@ -28,23 +28,23 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
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  |---|---|---|---|---|
31
- | 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/nasnet/releases/v0.61.0/nasnet-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/nasnet/releases/v0.61.0/nasnet-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/nasnet/releases/v0.61.0/nasnet-tflite-float.zip)
34
 
35
  For more device-specific assets and performance metrics, visit **[NASNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/nasnet)**.
36
 
37
 
38
  ### Option 2: Export with Custom Configurations
39
 
40
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/nasnet) Python library to compile and export the model with your own:
41
  - Custom weights (e.g., fine-tuned checkpoints)
42
  - Custom input shapes
43
  - Target device and runtime configurations
44
 
45
  This option is ideal if you need to customize the model beyond the default configuration provided here.
46
 
47
- See our repository for [NASNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/nasnet) for usage instructions.
48
 
49
  ## Model Details
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@@ -61,51 +61,49 @@ See our repository for [NASNet on GitHub](https://github.com/qualcomm/ai-hub-mod
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  ## Performance Summary
62
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
63
  |---|---|---|---|---|---|---
64
- | NASNet | ONNX | float | Snapdragon® X2 Elite | 9.642 ms | 1 - 1 MB | NPU
65
- | NASNet | ONNX | float | Snapdragon® X Elite | 18.866 ms | 188 - 188 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 13.854 ms | 0 - 572 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 53.3 ms | 2 - 521 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 30.091 ms | 1 - 6 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 18.883 ms | 0 - 193 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® QCS8450 | 53.3 ms | 2 - 521 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 27.932 ms | 1 - 5 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 18.866 ms | 188 - 188 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 11.695 ms | 1 - 406 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® 8 Elite Mobile | 11.695 ms | 1 - 406 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 9.494 ms | 1 - 419 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® X2 Elite | 8.931 ms | 1 - 1 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® X Elite | 16.791 ms | 1 - 1 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 12.173 ms | 0 - 513 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 48.598 ms | 0 - 473 MB | NPU
80
- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 27.588 ms | 1 - 5 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 89.183 ms | 1 - 350 MB | NPU
82
- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.25 ms | 1 - 3 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® SA8775P | 24.425 ms | 1 - 355 MB | NPU
84
- | NASNet | QNN_DLC | float | Qualcomm® SA8650P | 24.425 ms | 1 - 355 MB | NPU
85
- | NASNet | QNN_DLC | float | Qualcomm® SA8255P | 24.425 ms | 1 - 355 MB | NPU
86
- | NASNet | QNN_DLC | float | Qualcomm® QCS8450 | 48.598 ms | 0 - 473 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 24.269 ms | 1 - 4 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 16.791 ms | 1 - 1 MB | NPU
89
- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 9.773 ms | 1 - 351 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® SA7255P | 89.183 ms | 1 - 350 MB | NPU
91
- | NASNet | QNN_DLC | float | Qualcomm® SA8295P | 38.608 ms | 1 - 310 MB | NPU
92
- | NASNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 9.773 ms | 1 - 351 MB | NPU
93
- | NASNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.812 ms | 0 - 365 MB | NPU
94
- | NASNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 12.718 ms | 0 - 695 MB | NPU
95
- | NASNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 49.371 ms | 0 - 653 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 28.044 ms | 0 - 193 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 89.668 ms | 0 - 537 MB | NPU
98
- | NASNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.773 ms | 0 - 2 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® SA8775P | 24.835 ms | 0 - 537 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® SA8650P | 24.835 ms | 0 - 537 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® SA8255P | 24.835 ms | 0 - 537 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® QCS8450 | 49.371 ms | 0 - 653 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 24.896 ms | 0 - 192 MB | NPU
104
- | NASNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 10.374 ms | 0 - 533 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® SA7255P | 89.668 ms | 0 - 537 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® SA8295P | 40.131 ms | 0 - 487 MB | NPU
107
- | NASNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 10.374 ms | 0 - 533 MB | NPU
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- | NASNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.246 ms | 0 - 548 MB | NPU
109
 
110
  ## License
111
  * The license for the original implementation of NASNet can be found
 
15
  NASNet is a CNN-based architecture discovered via Neural Architecture Search (NAS) that can classify images from the Imagenet dataset.
16
 
17
  This is based on the implementation of NASNet found [here](https://github.com/huggingface/pytorch-image-models/tree/main).
18
+ 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/nasnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
19
 
20
  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.
21
 
 
28
 
29
  | Runtime | Precision | Chipset | SDK Versions | Download |
30
  |---|---|---|---|---|
31
+ | 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/nasnet/releases/v0.62.0/nasnet-onnx-float.zip)
32
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.62.0/nasnet-qnn_dlc-float.zip)
33
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.62.0/nasnet-tflite-float.zip)
34
 
35
  For more device-specific assets and performance metrics, visit **[NASNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/nasnet)**.
36
 
37
 
38
  ### Option 2: Export with Custom Configurations
39
 
40
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.62.0/src/qai_hub_models/models/nasnet) Python library to compile and export the model with your own:
41
  - Custom weights (e.g., fine-tuned checkpoints)
42
  - Custom input shapes
43
  - Target device and runtime configurations
44
 
45
  This option is ideal if you need to customize the model beyond the default configuration provided here.
46
 
47
+ See our repository for [NASNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.62.0/src/qai_hub_models/models/nasnet) for usage instructions.
48
 
49
  ## Model Details
50
 
 
61
  ## Performance Summary
62
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
63
  |---|---|---|---|---|---|---
64
+ | NASNet | ONNX | float | Snapdragon® X2 Elite | 9.67 ms | 1 - 1 MB | NPU
65
+ | NASNet | ONNX | float | Snapdragon® X Elite | 18.957 ms | 189 - 189 MB | NPU
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+ | NASNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 14.205 ms | 0 - 572 MB | NPU
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+ | NASNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 53.926 ms | 2 - 520 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 30.173 ms | 1 - 6 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 18.922 ms | 0 - 193 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® QCS8450 | 53.926 ms | 2 - 520 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 27.14 ms | 1 - 5 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 18.957 ms | 189 - 189 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 11.69 ms | 1 - 406 MB | NPU
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+ | NASNet | ONNX | float | Snapdragon® 8 Elite Mobile | 11.69 ms | 1 - 406 MB | NPU
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+ | NASNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 9.493 ms | 1 - 418 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® X2 Elite | 8.835 ms | 1 - 1 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® X Elite | 16.779 ms | 1 - 1 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 12.318 ms | 0 - 513 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 48.508 ms | 0 - 474 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 27.631 ms | 1 - 5 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.25 ms | 1 - 4 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® SA8775P | 24.414 ms | 1 - 355 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® SA8650P | 24.414 ms | 1 - 355 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® SA8255P | 24.414 ms | 1 - 355 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® QCS8450 | 48.508 ms | 0 - 474 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 24.615 ms | 1 - 4 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 16.779 ms | 1 - 1 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 9.759 ms | 1 - 350 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® SA7255P | 89.205 ms | 2 - 350 MB | NPU
90
+ | NASNet | QNN_DLC | float | Qualcomm® SA8295P | 38.601 ms | 1 - 310 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 9.759 ms | 1 - 350 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.804 ms | 0 - 367 MB | NPU
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+ | NASNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 12.615 ms | 0 - 694 MB | NPU
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+ | NASNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 50.191 ms | 0 - 652 MB | NPU
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+ | NASNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 27.851 ms | 0 - 193 MB | NPU
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+ | NASNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.542 ms | 4 - 201 MB | NPU
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+ | NASNet | TFLITE | float | Qualcomm® SA8775P | 24.813 ms | 0 - 537 MB | NPU
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+ | NASNet | TFLITE | float | Qualcomm® SA8650P | 24.813 ms | 0 - 537 MB | NPU
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+ | NASNet | TFLITE | float | Qualcomm® SA8255P | 24.813 ms | 0 - 537 MB | NPU
100
+ | NASNet | TFLITE | float | Qualcomm® QCS8450 | 50.191 ms | 0 - 652 MB | NPU
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+ | NASNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 24.558 ms | 0 - 192 MB | NPU
102
+ | NASNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 10.486 ms | 0 - 534 MB | NPU
103
+ | NASNet | TFLITE | float | Qualcomm® SA7255P | 89.677 ms | 0 - 538 MB | NPU
104
+ | NASNet | TFLITE | float | Qualcomm® SA8295P | 40.111 ms | 0 - 486 MB | NPU
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+ | NASNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 10.486 ms | 0 - 534 MB | NPU
106
+ | NASNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.248 ms | 0 - 549 MB | NPU
 
 
107
 
108
  ## License
109
  * The license for the original implementation of NASNet can be found
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/nasnet/releases/v0.61.0/nasnet-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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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.61.0/nasnet-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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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.61.0/nasnet-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/nasnet/releases/v0.62.0/nasnet-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/nasnet/releases/v0.62.0/nasnet-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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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.62.0/nasnet-tflite-float.zip"
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