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NASNet

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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 +45 -47
  2. release_assets.json +5 -5
README.md CHANGED
@@ -15,7 +15,7 @@ pipeline_tag: image-classification
15
  NASNet is a CNN-based architecture discovered via Neural Architecture Search (NAS) 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).
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/v0.63.0/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).
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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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@@ -28,23 +28,23 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
30
  |---|---|---|---|---|
31
- | 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/nasnet/releases/v0.63.0/nasnet-onnx-float.zip)
32
- | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.63.0/nasnet-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/nasnet/releases/v0.63.0/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/v0.63.0/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/v0.63.0/src/qai_hub_models/models/nasnet) for usage instructions.
48
 
49
  ## Model Details
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@@ -61,47 +61,45 @@ 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® 8 Elite Gen 5 For Galaxy Mobile | 8.786 ms | 0 - 360 MB | NPU
65
- | NASNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 10.74 ms | 1 - 354 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® X2 Elite | 9.049 ms | 1 - 1 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® X Elite | 17.296 ms | 188 - 188 MB | NPU
68
- | NASNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 13.341 ms | 0 - 518 MB | NPU
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- | NASNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 39.543 ms | 2 - 484 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 28.567 ms | 1 - 6 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 17.493 ms | 0 - 193 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® QCS8450 | 39.543 ms | 2 - 484 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 25.695 ms | 1 - 6 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 17.296 ms | 188 - 188 MB | NPU
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- | NASNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 10.74 ms | 1 - 354 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.799 ms | 0 - 334 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.27 ms | 1 - 323 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® X2 Elite | 8.536 ms | 1 - 1 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® X Elite | 16.12 ms | 1 - 1 MB | NPU
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- | NASNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 11.681 ms | 0 - 478 MB | NPU
81
- | NASNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 35.623 ms | 0 - 450 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 26.881 ms | 1 - 5 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.806 ms | 1 - 570 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® SA8650P | 24.414 ms | 1 - 355 MB | NPU
85
- | NASNet | QNN_DLC | float | Qualcomm® SA8255P | 24.414 ms | 1 - 355 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® QCS8450 | 35.623 ms | 0 - 450 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 24.174 ms | 1 - 5 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 16.12 ms | 1 - 1 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 9.27 ms | 1 - 323 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® SA7255P | 87.673 ms | 2 - 321 MB | NPU
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- | NASNet | QNN_DLC | float | Qualcomm® SA8295P | 38.674 ms | 1 - 290 MB | NPU
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- | NASNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 8.165 ms | 0 - 526 MB | NPU
93
- | NASNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.975 ms | 0 - 510 MB | NPU
94
- | NASNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 12.342 ms | 0 - 669 MB | NPU
95
- | NASNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 36.013 ms | 0 - 635 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 27.29 ms | 0 - 193 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.261 ms | 0 - 3 MB | NPU
98
- | NASNet | TFLITE | float | Qualcomm® SA8650P | 24.813 ms | 0 - 537 MB | NPU
99
- | NASNet | TFLITE | float | Qualcomm® SA8255P | 24.813 ms | 0 - 537 MB | NPU
100
- | NASNet | TFLITE | float | Qualcomm® QCS8450 | 36.013 ms | 0 - 635 MB | NPU
101
- | NASNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 24.885 ms | 0 - 192 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.975 ms | 0 - 510 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® SA7255P | 88.629 ms | 0 - 513 MB | NPU
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- | NASNet | TFLITE | float | Qualcomm® SA8295P | 39.925 ms | 0 - 468 MB | NPU
105
 
106
  ## License
107
  * 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/v0.64.0/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 2.50, ONNX Runtime 1.30.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.64.0/nasnet-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/nasnet/releases/v0.64.0/nasnet-qnn_dlc-float.zip)
33
+ | TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.64.0/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/v0.64.0/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/v0.64.0/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® 8 Elite Gen 5 For Galaxy Mobile | 8.792 ms | 0 - 361 MB | NPU
65
+ | NASNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 10.823 ms | 0 - 352 MB | NPU
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+ | NASNet | ONNX | float | Snapdragon® X2 Elite | 9.034 ms | 1 - 1 MB | NPU
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+ | NASNet | ONNX | float | Snapdragon® X Elite | 17.216 ms | 188 - 188 MB | NPU
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+ | NASNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 13.174 ms | 0 - 515 MB | NPU
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+ | NASNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 39.327 ms | 1 - 484 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 28.693 ms | 1 - 7 MB | NPU
71
+ | NASNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 17.305 ms | 0 - 193 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® QCS8450 | 39.327 ms | 1 - 484 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 25.199 ms | 1 - 6 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 17.216 ms | 188 - 188 MB | NPU
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+ | NASNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 10.823 ms | 0 - 352 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 7.811 ms | 0 - 332 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.497 ms | 1 - 323 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® X2 Elite | 8.511 ms | 1 - 1 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® X Elite | 16.07 ms | 1 - 1 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 11.621 ms | 0 - 479 MB | NPU
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+ | NASNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 35.678 ms | 0 - 450 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 26.745 ms | 1 - 5 MB | NPU
83
+ | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.862 ms | 1 - 571 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® SA8775P | 23.627 ms | 1 - 321 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® SA8650P | 23.627 ms | 1 - 321 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® SA8255P | 23.627 ms | 1 - 321 MB | NPU
87
+ | NASNet | QNN_DLC | float | Qualcomm® QCS8450 | 35.678 ms | 0 - 450 MB | NPU
88
+ | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 24.142 ms | 1 - 5 MB | NPU
89
+ | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 16.07 ms | 1 - 1 MB | NPU
90
+ | NASNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 9.497 ms | 1 - 323 MB | NPU
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+ | NASNet | QNN_DLC | float | Qualcomm® SA7255P | 87.672 ms | 1 - 321 MB | NPU
92
+ | NASNet | QNN_DLC | float | Qualcomm® SA8295P | 38.633 ms | 1 - 290 MB | NPU
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+ | NASNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 8.153 ms | 0 - 524 MB | NPU
94
+ | NASNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 9.928 ms | 0 - 508 MB | NPU
95
+ | NASNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 12.297 ms | 0 - 670 MB | NPU
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+ | NASNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 35.996 ms | 0 - 636 MB | NPU
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+ | NASNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 27.242 ms | 0 - 193 MB | NPU
98
+ | NASNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.173 ms | 0 - 3 MB | NPU
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+ | NASNet | TFLITE | float | Qualcomm® QCS8450 | 35.996 ms | 0 - 636 MB | NPU
100
+ | NASNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 24.512 ms | 0 - 192 MB | NPU
101
+ | NASNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 9.928 ms | 0 - 508 MB | NPU
102
+ | NASNet | TFLITE | float | Qualcomm® SA8295P | 39.877 ms | 0 - 468 MB | NPU
 
 
103
 
104
  ## License
105
  * The license for the original implementation of NASNet 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/nasnet/releases/v0.63.0/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": "2.50.0.260828221209"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.63.0/nasnet-qnn_dlc-float.zip"
18
  },
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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/nasnet/releases/v0.63.0/nasnet-tflite-float.zip"
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  }
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  }
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  }
 
1
  {
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+ "version": "0.64.0",
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  "precisions": {
4
  "float": {
5
  "universal_assets": {
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  "onnx": {
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  "tool_versions": {
8
  "qairt": "2.50.0.260828221209",
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+ "onnx_runtime": "1.30.0"
10
  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.64.0/nasnet-onnx-float.zip"
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  },
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  "qnn_dlc": {
14
  "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/nasnet/releases/v0.64.0/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": "2.50.0.260828221209"
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  },
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/nasnet/releases/v0.64.0/nasnet-tflite-float.zip"
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  }
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  }
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  }