File size: 13,059 Bytes
fc5cf45
 
8858b99
fc5cf45
 
 
f2b7158
fc5cf45
 
 
586e155
fc5cf45
825e39b
66cb52a
fc5cf45
 
825e39b
e80d626
825e39b
 
 
 
 
 
 
 
 
 
 
 
e80d626
 
 
 
 
 
825e39b
 
 
 
 
 
e80d626
825e39b
 
 
 
 
 
e80d626
825e39b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e80d626
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
20795c6
e80d626
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c4f3a4e
fc5cf45
2cf5f2f
 
c4f3a4e
fc5cf45
 
 
 
 
13d981e
fc5cf45
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
---
library_name: pytorch
license: other
tags:
- backbone
- android
pipeline_tag: image-classification

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/inception_v3/web-assets/model_demo.png)

# Inception-v3: Optimized for Qualcomm Devices

InceptionNetV3 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.

This is based on the implementation of Inception-v3 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/inception.py).
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/v0.58.0/src/qai_hub_models/models/inception_v3) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

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.

## Getting Started
There are two ways to deploy this model on your device:

### Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/inception_v3/releases/v0.58.0/inception_v3-onnx-float.zip)
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/inception_v3/releases/v0.58.0/inception_v3-onnx-w8a8.zip)
| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/inception_v3/releases/v0.58.0/inception_v3-qnn_dlc-float.zip)
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/inception_v3/releases/v0.58.0/inception_v3-qnn_dlc-w8a8.zip)
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/inception_v3/releases/v0.58.0/inception_v3-tflite-float.zip)
| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/inception_v3/releases/v0.58.0/inception_v3-tflite-w8a8.zip)

For more device-specific assets and performance metrics, visit **[Inception-v3 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/inception_v3)**.


### Option 2: Export with Custom Configurations

Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/inception_v3) Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for [Inception-v3 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/inception_v3) for usage instructions.

## Model Details

**Model Type:** Model_use_case.image_classification

**Model Stats:**
- Model checkpoint: Imagenet
- Input resolution: 224x224
- Number of parameters: 23.9M
- Model size (float): 90.9 MB
- Model size (w8a8): 23.3 MB

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| Inception-v3 | ONNX | float | Snapdragon® X2 Elite | 1.135 ms | 1 - 1 MB | NPU
| Inception-v3 | ONNX | float | Snapdragon® X Elite | 2.144 ms | 46 - 46 MB | NPU
| Inception-v3 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.59 ms | 0 - 63 MB | NPU
| Inception-v3 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 3.962 ms | 0 - 66 MB | NPU
| Inception-v3 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.184 ms | 0 - 90 MB | NPU
| Inception-v3 | ONNX | float | Qualcomm® QCS8450 | 3.962 ms | 0 - 66 MB | NPU
| Inception-v3 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.088 ms | 0 - 42 MB | NPU
| Inception-v3 | ONNX | float | Snapdragon® 8 Elite Mobile | 1.341 ms | 1 - 42 MB | NPU
| Inception-v3 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.341 ms | 1 - 42 MB | NPU
| Inception-v3 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.144 ms | 46 - 46 MB | NPU
| Inception-v3 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 3.709 ms | 1 - 46 MB | NPU
| Inception-v3 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.374 ms | 1 - 1 MB | NPU
| Inception-v3 | ONNX | w8a8 | Snapdragon® X Elite | 0.801 ms | 24 - 24 MB | NPU
| Inception-v3 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.631 ms | 0 - 100 MB | NPU
| Inception-v3 | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.24 ms | 0 - 101 MB | NPU
| Inception-v3 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.022 ms | 0 - 3 MB | NPU
| Inception-v3 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.851 ms | 0 - 167 MB | NPU
| Inception-v3 | ONNX | w8a8 | Qualcomm® QCS8450 | 1.24 ms | 0 - 101 MB | NPU
| Inception-v3 | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.54 ms | 0 - 63 MB | NPU
| Inception-v3 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.366 ms | 0 - 63 MB | NPU
| Inception-v3 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.431 ms | 0 - 63 MB | NPU
| Inception-v3 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 10.749 ms | 0 - 181 MB | NPU
| Inception-v3 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.934 ms | 0 - 3 MB | NPU
| Inception-v3 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.366 ms | 0 - 63 MB | NPU
| Inception-v3 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.54 ms | 0 - 63 MB | NPU
| Inception-v3 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.801 ms | 24 - 24 MB | NPU
| Inception-v3 | QNN_DLC | float | Snapdragon® X2 Elite | 1.187 ms | 1 - 1 MB | NPU
| Inception-v3 | QNN_DLC | float | Snapdragon® X Elite | 2.077 ms | 1 - 1 MB | NPU
| Inception-v3 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.511 ms | 0 - 58 MB | NPU
| Inception-v3 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.723 ms | 0 - 60 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® QCS8275 | 13.48 ms | 1 - 35 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.976 ms | 1 - 3 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® SA8775P | 3.606 ms | 1 - 38 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® SA8650P | 3.606 ms | 1 - 38 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® SA8255P | 3.606 ms | 1 - 38 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® QCS8450 | 3.723 ms | 0 - 60 MB | NPU
| Inception-v3 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.016 ms | 1 - 38 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® SA7255P | 13.48 ms | 1 - 35 MB | NPU
| Inception-v3 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.276 ms | 0 - 39 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® SA8295P | 4.165 ms | 1 - 34 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.276 ms | 0 - 39 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.077 ms | 1 - 1 MB | NPU
| Inception-v3 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 3.432 ms | 3 - 6 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.464 ms | 0 - 0 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.865 ms | 0 - 0 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.604 ms | 0 - 83 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.193 ms | 0 - 83 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.061 ms | 0 - 2 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® QCS8275 | 2.394 ms | 0 - 53 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.806 ms | 0 - 2 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.997 ms | 0 - 56 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® SA8650P | 0.997 ms | 0 - 56 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® SA8255P | 0.997 ms | 0 - 56 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 1.193 ms | 0 - 83 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.516 ms | 0 - 57 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.302 ms | 0 - 55 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.41 ms | 0 - 54 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 10.595 ms | 0 - 172 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 2.394 ms | 0 - 53 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.595 ms | 0 - 52 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.828 ms | 2 - 4 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.302 ms | 0 - 55 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.516 ms | 0 - 57 MB | NPU
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.865 ms | 0 - 0 MB | NPU
| Inception-v3 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.491 ms | 0 - 116 MB | NPU
| Inception-v3 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.736 ms | 0 - 121 MB | NPU
| Inception-v3 | TFLITE | float | Qualcomm® QCS8275 | 13.506 ms | 0 - 66 MB | NPU
| Inception-v3 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.032 ms | 0 - 3 MB | NPU
| Inception-v3 | TFLITE | float | Qualcomm® SA8775P | 3.602 ms | 46 - 115 MB | NPU
| Inception-v3 | TFLITE | float | Qualcomm® SA8650P | 3.602 ms | 46 - 115 MB | NPU
| Inception-v3 | TFLITE | float | Qualcomm® SA8255P | 3.602 ms | 46 - 115 MB | NPU
| Inception-v3 | TFLITE | float | Qualcomm® QCS8450 | 3.736 ms | 0 - 121 MB | NPU
| Inception-v3 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.011 ms | 0 - 68 MB | NPU
| Inception-v3 | TFLITE | float | Qualcomm® SA7255P | 13.506 ms | 0 - 66 MB | NPU
| Inception-v3 | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.277 ms | 0 - 67 MB | NPU
| Inception-v3 | TFLITE | float | Qualcomm® SA8295P | 4.183 ms | 0 - 64 MB | NPU
| Inception-v3 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.277 ms | 0 - 67 MB | NPU
| Inception-v3 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 3.448 ms | 0 - 49 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.638 ms | 0 - 80 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.282 ms | 0 - 85 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.321 ms | 0 - 25 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® QCS8275 | 2.498 ms | 0 - 51 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.906 ms | 0 - 4 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® SA8775P | 1.174 ms | 0 - 55 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® SA8650P | 1.174 ms | 0 - 55 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® SA8255P | 1.174 ms | 0 - 55 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® QCS8450 | 1.282 ms | 0 - 85 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.546 ms | 0 - 51 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.439 ms | 0 - 53 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.453 ms | 0 - 55 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 10.673 ms | 0 - 168 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® SA7255P | 2.498 ms | 0 - 51 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® SA8295P | 1.829 ms | 0 - 49 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.994 ms | 0 - 25 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.439 ms | 0 - 53 MB | NPU
| Inception-v3 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.546 ms | 0 - 51 MB | NPU

## License
* The license for the original implementation of Inception-v3 can be found
  [here](https://github.com/pytorch/vision/blob/main/LICENSE).

## References
* [Rethinking the Inception Architecture for Computer Vision](http://arxiv.org/abs/1512.00567)
* [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/inception.py)

## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).