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NASNet

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v0.49.1

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See https://github.com/qualcomm/ai-hub-models/releases/v0.49.1 for changelog.

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  1. README.md +46 -47
README.md CHANGED
@@ -15,7 +15,7 @@ pipeline_tag: image-classification
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  NASNet is a vision transformer model that can classify images from the Imagenet dataset.
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  This is based on the implementation of NASNet found [here](https://github.com/huggingface/pytorch-image-models/tree/main).
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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/main/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).
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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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@@ -28,25 +28,24 @@ 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 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.48.0/nasnet-onnx-float.zip)
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- | ONNX | w8a8_mixed_fp16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.48.0/nasnet-onnx-w8a8_mixed_fp16.zip)
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- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.48.0/nasnet-qnn_dlc-float.zip)
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- | QNN_DLC | w8a8_mixed_fp16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.48.0/nasnet-qnn_dlc-w8a8_mixed_fp16.zip)
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- | TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.48.0/nasnet-tflite-float.zip)
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37
  For more device-specific assets and performance metrics, visit **[NASNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/nasnet)**.
38
 
39
 
40
  ### Option 2: Export with Custom Configurations
41
 
42
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/nasnet) Python library to compile and export the model with your own:
43
  - Custom weights (e.g., fine-tuned checkpoints)
44
  - Custom input shapes
45
  - Target device and runtime configurations
46
 
47
  This option is ideal if you need to customize the model beyond the default configuration provided here.
48
 
49
- See our repository for [NASNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/nasnet) for usage instructions.
50
 
51
  ## Model Details
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@@ -63,45 +62,45 @@ See our repository for [NASNet on GitHub](https://github.com/qualcomm/ai-hub-mod
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  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
- | NASNet | ONNX | float | Snapdragon® X2 Elite | 8.215 ms | 189 - 189 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® X Elite | 17.826 ms | 188 - 188 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 12.748 ms | 0 - 831 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 17.461 ms | 0 - 196 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® QCS9075 | 28.336 ms | 0 - 4 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 10.601 ms | 1 - 676 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.389 ms | 1 - 673 MB | NPU
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- | NASNet | ONNX | w8a8_mixed_fp16 | Snapdragon® X2 Elite | 4.546 ms | 100 - 100 MB | NPU
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- | NASNet | ONNX | w8a8_mixed_fp16 | Snapdragon® X Elite | 11.742 ms | 98 - 98 MB | NPU
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- | NASNet | ONNX | w8a8_mixed_fp16 | Snapdragon® 8 Gen 3 Mobile | 6.989 ms | 5 - 481 MB | NPU
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- | NASNet | ONNX | w8a8_mixed_fp16 | Qualcomm® QCS8550 (Proxy) | 9.916 ms | 5 - 11 MB | NPU
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- | NASNet | ONNX | w8a8_mixed_fp16 | Qualcomm® QCS9075 | 11.712 ms | 5 - 8 MB | NPU
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- | NASNet | ONNX | w8a8_mixed_fp16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.62 ms | 0 - 346 MB | NPU
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- | NASNet | ONNX | w8a8_mixed_fp16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.568 ms | 5 - 359 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® X2 Elite | 9.24 ms | 1 - 1 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® X Elite | 19.234 ms | 1 - 1 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 12.326 ms | 0 - 814 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 54.016 ms | 1 - 659 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 19.0 ms | 1 - 3 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® QCS9075 | 28.724 ms | 1 - 3 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 35.267 ms | 0 - 792 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 11.072 ms | 1 - 652 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.904 ms | 1 - 654 MB | NPU
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- | NASNet | QNN_DLC | w8a8_mixed_fp16 | Snapdragon® X2 Elite | 4.134 ms | 0 - 0 MB | NPU
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- | NASNet | QNN_DLC | w8a8_mixed_fp16 | Snapdragon® X Elite | 9.236 ms | 0 - 0 MB | NPU
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- | NASNet | QNN_DLC | w8a8_mixed_fp16 | Snapdragon® 8 Gen 3 Mobile | 5.992 ms | 0 - 495 MB | NPU
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- | NASNet | QNN_DLC | w8a8_mixed_fp16 | Qualcomm® QCS8275 (Proxy) | 16.472 ms | 0 - 378 MB | NPU
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- | NASNet | QNN_DLC | w8a8_mixed_fp16 | Qualcomm® QCS8550 (Proxy) | 8.936 ms | 0 - 2 MB | NPU
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- | NASNet | QNN_DLC | w8a8_mixed_fp16 | Qualcomm® QCS9075 | 9.454 ms | 0 - 2 MB | NPU
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- | NASNet | QNN_DLC | w8a8_mixed_fp16 | Qualcomm® QCS8450 (Proxy) | 11.194 ms | 0 - 507 MB | NPU
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- | NASNet | QNN_DLC | w8a8_mixed_fp16 | Snapdragon® 8 Elite For Galaxy Mobile | 4.926 ms | 0 - 377 MB | NPU
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- | NASNet | QNN_DLC | w8a8_mixed_fp16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.895 ms | 0 - 378 MB | NPU
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- | NASNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 8.796 ms | 0 - 783 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 44.427 ms | 0 - 628 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 12.456 ms | 0 - 3 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® QCS9075 | 15.469 ms | 0 - 192 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 28.855 ms | 0 - 762 MB | NPU
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- | NASNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 6.956 ms | 0 - 623 MB | NPU
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- | NASNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.632 ms | 0 - 625 MB | NPU
105
 
106
  ## License
107
  * The license for the original implementation of NASNet can be found
 
15
  NASNet is a vision transformer model 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/tree/v0.49.1/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 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.49.1/nasnet-onnx-float.zip)
32
+ | ONNX | w8a8_mixed_fp16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.49.1/nasnet-onnx-w8a8_mixed_fp16.zip)
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+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.49.1/nasnet-qnn_dlc-float.zip)
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+ | QNN_DLC | w8a8_mixed_fp16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.49.1/nasnet-qnn_dlc-w8a8_mixed_fp16.zip)
 
35
 
36
  For more device-specific assets and performance metrics, visit **[NASNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/nasnet)**.
37
 
38
 
39
  ### Option 2: Export with Custom Configurations
40
 
41
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/nasnet) Python library to compile and export the model with your own:
42
  - Custom weights (e.g., fine-tuned checkpoints)
43
  - Custom input shapes
44
  - Target device and runtime configurations
45
 
46
  This option is ideal if you need to customize the model beyond the default configuration provided here.
47
 
48
+ See our repository for [NASNet on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/nasnet) for usage instructions.
49
 
50
  ## Model Details
51
 
 
62
  ## Performance Summary
63
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
64
  |---|---|---|---|---|---|---
65
+ | NASNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.39 ms | 1 - 673 MB | NPU
66
+ | NASNet | ONNX | float | Snapdragon® X2 Elite | 10.699 ms | 189 - 189 MB | NPU
67
+ | NASNet | ONNX | float | Snapdragon® X Elite | 17.795 ms | 188 - 188 MB | NPU
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+ | NASNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 12.781 ms | 1 - 838 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 17.495 ms | 0 - 197 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® QCS9075 | 28.261 ms | 0 - 4 MB | NPU
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+ | NASNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 10.374 ms | 0 - 640 MB | NPU
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+ | NASNet | ONNX | w8a8_mixed_fp16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.516 ms | 5 - 359 MB | NPU
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+ | NASNet | ONNX | w8a8_mixed_fp16 | Snapdragon® X2 Elite | 4.488 ms | 100 - 100 MB | NPU
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+ | NASNet | ONNX | w8a8_mixed_fp16 | Snapdragon® X Elite | 12.004 ms | 98 - 98 MB | NPU
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+ | NASNet | ONNX | w8a8_mixed_fp16 | Snapdragon® 8 Gen 3 Mobile | 6.901 ms | 6 - 478 MB | NPU
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+ | NASNet | ONNX | w8a8_mixed_fp16 | Qualcomm® QCS8550 (Proxy) | 9.747 ms | 5 - 10 MB | NPU
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+ | NASNet | ONNX | w8a8_mixed_fp16 | Qualcomm® QCS9075 | 11.55 ms | 5 - 8 MB | NPU
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+ | NASNet | ONNX | w8a8_mixed_fp16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.535 ms | 5 - 361 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.769 ms | 0 - 664 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® X2 Elite | 10.154 ms | 1 - 1 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® X Elite | 19.289 ms | 1 - 1 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 12.32 ms | 0 - 813 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 54.013 ms | 1 - 660 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 19.02 ms | 1 - 3 MB | NPU
85
+ | NASNet | QNN_DLC | float | Qualcomm® QCS9075 | 28.662 ms | 1 - 3 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 35.42 ms | 0 - 793 MB | NPU
87
+ | NASNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 11.17 ms | 0 - 650 MB | NPU
88
+ | NASNet | QNN_DLC | w8a8_mixed_fp16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.843 ms | 0 - 379 MB | NPU
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+ | NASNet | QNN_DLC | w8a8_mixed_fp16 | Snapdragon® X2 Elite | 4.111 ms | 0 - 0 MB | NPU
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+ | NASNet | QNN_DLC | w8a8_mixed_fp16 | Snapdragon® X Elite | 9.146 ms | 0 - 0 MB | NPU
91
+ | NASNet | QNN_DLC | w8a8_mixed_fp16 | Snapdragon® 8 Gen 3 Mobile | 6.018 ms | 0 - 493 MB | NPU
92
+ | NASNet | QNN_DLC | w8a8_mixed_fp16 | Qualcomm® QCS8275 (Proxy) | 16.35 ms | 0 - 379 MB | NPU
93
+ | NASNet | QNN_DLC | w8a8_mixed_fp16 | Qualcomm® QCS8550 (Proxy) | 8.843 ms | 0 - 2 MB | NPU
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+ | NASNet | QNN_DLC | w8a8_mixed_fp16 | Qualcomm® QCS9075 | 9.426 ms | 0 - 2 MB | NPU
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+ | NASNet | QNN_DLC | w8a8_mixed_fp16 | Qualcomm® QCS8450 (Proxy) | 10.984 ms | 0 - 505 MB | NPU
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+ | NASNet | QNN_DLC | w8a8_mixed_fp16 | Snapdragon® 8 Elite For Galaxy Mobile | 5.001 ms | 0 - 378 MB | NPU
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+ | NASNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.624 ms | 2 - 618 MB | NPU
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+ | NASNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 8.785 ms | 0 - 778 MB | NPU
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+ | NASNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 44.298 ms | 0 - 629 MB | NPU
100
+ | NASNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 12.486 ms | 0 - 3 MB | NPU
101
+ | NASNet | TFLITE | float | Qualcomm® QCS9075 | 15.553 ms | 0 - 192 MB | NPU
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+ | NASNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 28.988 ms | 0 - 758 MB | NPU
103
+ | NASNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 6.952 ms | 0 - 633 MB | NPU
104
 
105
  ## License
106
  * The license for the original implementation of NASNet can be found