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MobileNet-v3-Small

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v0.58.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.58.0 for changelog.

Files changed (2) hide show
  1. README.md +69 -63
  2. release_assets.json +5 -5
README.md CHANGED
@@ -17,7 +17,7 @@ pipeline_tag: image-classification
17
  MobileNetV3Small 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.
18
 
19
  This is based on the implementation of MobileNet-v3-Small found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv3.py).
20
- 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/v0.57.3/src/qai_hub_models/models/mobilenet_v3_small) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
21
 
22
  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.
23
 
@@ -30,24 +30,24 @@ Below are pre-exported model assets ready for deployment.
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31
  | Runtime | Precision | Chipset | SDK Versions | Download |
32
  |---|---|---|---|---|
33
- | 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/mobilenet_v3_small/releases/v0.57.3/mobilenet_v3_small-onnx-float.zip)
34
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.57.3/mobilenet_v3_small-qnn_dlc-float.zip)
35
- | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.57.3/mobilenet_v3_small-qnn_dlc-w8a16.zip)
36
- | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.57.3/mobilenet_v3_small-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[MobileNet-v3-Small on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mobilenet_v3_small)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/mobilenet_v3_small) Python library to compile and export the model with your own:
44
  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
50
- See our repository for [MobileNet-v3-Small on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/mobilenet_v3_small) for usage instructions.
51
 
52
  ## Model Details
53
 
@@ -62,63 +62,69 @@ See our repository for [MobileNet-v3-Small on GitHub](https://github.com/qualcom
62
  ## Performance Summary
63
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
64
  |---|---|---|---|---|---|---
65
- | MobileNet-v3-Small | ONNX | float | Snapdragon® X2 Elite | 0.262 ms | 212 - 212 MB | NPU
66
- | MobileNet-v3-Small | ONNX | float | Snapdragon® X Elite | 0.558 ms | 148 - 148 MB | NPU
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- | MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.35 ms | 0 - 34 MB | NPU
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- | MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 0.868 ms | 1 - 43 MB | NPU
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- | MobileNet-v3-Small | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.561 ms | 0 - 12 MB | NPU
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- | MobileNet-v3-Small | ONNX | float | Qualcomm® QCS8450 | 0.868 ms | 1 - 43 MB | NPU
71
- | MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Elite Mobile | 0.286 ms | 0 - 29 MB | NPU
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- | MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.243 ms | 1 - 26 MB | NPU
73
- | MobileNet-v3-Small | ONNX | float | Qualcomm® QCS9075 | 0.769 ms | 0 - 51 MB | NPU
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- | MobileNet-v3-Small | ONNX | float | Qualcomm® QCS8750 | 0.286 ms | 0 - 29 MB | NPU
75
- | MobileNet-v3-Small | ONNX | float | Qualcomm® QCS7181 | 0.558 ms | 148 - 148 MB | NPU
76
- | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® X2 Elite | 0.435 ms | 1 - 1 MB | NPU
77
- | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® X Elite | 0.977 ms | 1 - 1 MB | NPU
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- | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.552 ms | 0 - 43 MB | NPU
79
- | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1.573 ms | 0 - 49 MB | NPU
80
- | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® QCS8275 | 2.073 ms | 1 - 29 MB | NPU
81
- | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.827 ms | 1 - 65 MB | NPU
82
- | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® QCS8450 | 1.573 ms | 0 - 49 MB | NPU
83
- | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.412 ms | 0 - 28 MB | NPU
84
- | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA8295P | 1.462 ms | 0 - 29 MB | NPU
 
 
85
  | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.317 ms | 1 - 30 MB | NPU
86
- | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA7255P | 2.073 ms | 1 - 29 MB | NPU
87
- | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® QCS9075 | 0.984 ms | 3 - 5 MB | NPU
88
- | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® QCS8750 | 0.412 ms | 0 - 28 MB | NPU
89
- | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® QCS7181 | 0.977 ms | 1 - 1 MB | NPU
90
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.427 ms | 0 - 0 MB | NPU
91
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® X Elite | 0.924 ms | 0 - 0 MB | NPU
92
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.546 ms | 0 - 39 MB | NPU
93
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 0.984 ms | 0 - 45 MB | NPU
94
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 2.321 ms | 2 - 4 MB | NPU
95
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS8275 | 1.692 ms | 0 - 28 MB | NPU
96
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.79 ms | 0 - 2 MB | NPU
97
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 0.984 ms | 0 - 45 MB | NPU
98
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 0.947 ms | 2 - 4 MB | NPU
99
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.309 ms | 0 - 27 MB | NPU
100
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.369 ms | 0 - 31 MB | NPU
101
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.286 ms | 0 - 26 MB | NPU
102
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.798 ms | 0 - 26 MB | NPU
103
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 2.826 ms | 0 - 142 MB | NPU
104
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA7255P | 1.692 ms | 0 - 28 MB | NPU
105
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS7790 | 0.798 ms | 0 - 26 MB | NPU
106
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS8750 | 0.369 ms | 0 - 31 MB | NPU
107
- | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS7181 | 0.924 ms | 0 - 0 MB | NPU
108
- | MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.554 ms | 0 - 45 MB | NPU
109
- | MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1.594 ms | 0 - 50 MB | NPU
110
- | MobileNet-v3-Small | TFLITE | float | Qualcomm® QCS8275 | 2.169 ms | 0 - 29 MB | NPU
111
- | MobileNet-v3-Small | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 0.841 ms | 0 - 8 MB | NPU
112
- | MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8775P | 2.189 ms | 0 - 30 MB | GPU
113
- | MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8650P | 2.189 ms | 0 - 30 MB | GPU
114
- | MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8255P | 2.189 ms | 0 - 30 MB | GPU
115
- | MobileNet-v3-Small | TFLITE | float | Qualcomm® QCS8450 | 1.594 ms | 0 - 50 MB | NPU
116
- | MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.426 ms | 0 - 30 MB | NPU
117
- | MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8295P | 1.501 ms | 0 - 29 MB | NPU
118
- | MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.323 ms | 0 - 31 MB | NPU
119
- | MobileNet-v3-Small | TFLITE | float | Qualcomm® SA7255P | 2.169 ms | 0 - 29 MB | NPU
120
- | MobileNet-v3-Small | TFLITE | float | Qualcomm® QCS9075 | 1.02 ms | 0 - 8 MB | NPU
121
- | MobileNet-v3-Small | TFLITE | float | Qualcomm® QCS8750 | 0.426 ms | 0 - 30 MB | NPU
 
 
 
 
122
 
123
  ## License
124
  * The license for the original implementation of MobileNet-v3-Small can be found
 
17
  MobileNetV3Small 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.
18
 
19
  This is based on the implementation of MobileNet-v3-Small found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv3.py).
20
+ 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/mobilenet_v3_small) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
21
 
22
  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.
23
 
 
30
 
31
  | Runtime | Precision | Chipset | SDK Versions | Download |
32
  |---|---|---|---|---|
33
+ | 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/mobilenet_v3_small/releases/v0.58.0/mobilenet_v3_small-onnx-float.zip)
34
+ | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.58.0/mobilenet_v3_small-qnn_dlc-float.zip)
35
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.58.0/mobilenet_v3_small-qnn_dlc-w8a16.zip)
36
+ | TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.58.0/mobilenet_v3_small-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[MobileNet-v3-Small on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mobilenet_v3_small)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/mobilenet_v3_small) Python library to compile and export the model with your own:
44
  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
50
+ See our repository for [MobileNet-v3-Small on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/mobilenet_v3_small) for usage instructions.
51
 
52
  ## Model Details
53
 
 
62
  ## Performance Summary
63
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
64
  |---|---|---|---|---|---|---
65
+ | MobileNet-v3-Small | ONNX | float | Snapdragon® X2 Elite | 0.262 ms | 2 - 2 MB | NPU
66
+ | MobileNet-v3-Small | ONNX | float | Snapdragon® X Elite | 0.556 ms | 6 - 6 MB | NPU
67
+ | MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.354 ms | 1 - 45 MB | NPU
68
+ | MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 0.863 ms | 1 - 50 MB | NPU
69
+ | MobileNet-v3-Small | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.558 ms | 0 - 8 MB | NPU
70
+ | MobileNet-v3-Small | ONNX | float | Qualcomm® QCS8450 | 0.863 ms | 1 - 50 MB | NPU
71
+ | MobileNet-v3-Small | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 0.709 ms | 1 - 3 MB | NPU
72
+ | MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.244 ms | 0 - 29 MB | NPU
73
+ | MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Elite Mobile | 0.289 ms | 0 - 33 MB | NPU
74
+ | MobileNet-v3-Small | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.289 ms | 0 - 33 MB | NPU
75
+ | MobileNet-v3-Small | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.556 ms | 6 - 6 MB | NPU
76
+ | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® X2 Elite | 0.437 ms | 1 - 1 MB | NPU
77
+ | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® X Elite | 0.966 ms | 1 - 1 MB | NPU
78
+ | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.55 ms | 0 - 43 MB | NPU
79
+ | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1.574 ms | 0 - 49 MB | NPU
80
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® QCS8275 | 2.104 ms | 1 - 29 MB | NPU
81
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.836 ms | 1 - 2 MB | NPU
82
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA8775P | 1.096 ms | 1 - 31 MB | NPU
83
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA8650P | 1.096 ms | 1 - 31 MB | NPU
84
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA8255P | 1.096 ms | 1 - 31 MB | NPU
85
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® QCS8450 | 1.574 ms | 0 - 49 MB | NPU
86
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 0.976 ms | 1 - 3 MB | NPU
87
  | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.317 ms | 1 - 30 MB | NPU
88
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA7255P | 2.104 ms | 1 - 29 MB | NPU
89
+ | MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.412 ms | 1 - 29 MB | NPU
90
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA8295P | 1.474 ms | 0 - 29 MB | NPU
91
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.412 ms | 1 - 29 MB | NPU
92
+ | MobileNet-v3-Small | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.966 ms | 1 - 1 MB | NPU
93
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.422 ms | 0 - 0 MB | NPU
94
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® X Elite | 0.92 ms | 0 - 0 MB | NPU
95
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.55 ms | 0 - 39 MB | NPU
96
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 0.983 ms | 0 - 46 MB | NPU
97
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 2.754 ms | 0 - 2 MB | NPU
98
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS8275 | 1.698 ms | 0 - 28 MB | NPU
99
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.796 ms | 0 - 60 MB | NPU
100
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA8775P | 0.994 ms | 0 - 30 MB | NPU
101
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA8650P | 0.994 ms | 0 - 30 MB | NPU
102
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA8255P | 0.994 ms | 0 - 30 MB | NPU
103
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 0.983 ms | 0 - 46 MB | NPU
104
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 0.895 ms | 2 - 4 MB | NPU
105
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.799 ms | 0 - 26 MB | NPU
106
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.312 ms | 0 - 28 MB | NPU
107
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 2.803 ms | 0 - 145 MB | NPU
108
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA7255P | 1.698 ms | 0 - 28 MB | NPU
109
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.371 ms | 0 - 30 MB | NPU
110
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.298 ms | 0 - 27 MB | NPU
111
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 0.799 ms | 0 - 26 MB | NPU
112
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.371 ms | 0 - 30 MB | NPU
113
+ | MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 0.92 ms | 0 - 0 MB | NPU
114
+ | MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.562 ms | 0 - 44 MB | NPU
115
+ | MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1.591 ms | 0 - 51 MB | NPU
116
+ | MobileNet-v3-Small | TFLITE | float | Qualcomm® QCS8275 | 2.166 ms | 0 - 29 MB | NPU
117
+ | MobileNet-v3-Small | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.835 ms | 0 - 4 MB | NPU
118
+ | MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8775P | 1.131 ms | 0 - 32 MB | NPU
119
+ | MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8650P | 1.131 ms | 0 - 32 MB | NPU
120
+ | MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8255P | 1.131 ms | 0 - 32 MB | NPU
121
+ | MobileNet-v3-Small | TFLITE | float | Qualcomm® QCS8450 | 1.591 ms | 0 - 51 MB | NPU
122
+ | MobileNet-v3-Small | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.004 ms | 0 - 8 MB | NPU
123
+ | MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.321 ms | 0 - 31 MB | NPU
124
+ | MobileNet-v3-Small | TFLITE | float | Qualcomm® SA7255P | 2.166 ms | 0 - 29 MB | NPU
125
+ | MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.422 ms | 0 - 34 MB | NPU
126
+ | MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8295P | 1.476 ms | 0 - 29 MB | NPU
127
+ | MobileNet-v3-Small | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.422 ms | 0 - 34 MB | NPU
128
 
129
  ## License
130
  * The license for the original implementation of MobileNet-v3-Small can be found
release_assets.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "version": "0.57.3",
3
  "precisions": {
4
  "w8a16": {
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  "universal_assets": {
@@ -7,7 +7,7 @@
7
  "tool_versions": {
8
  "qairt": "2.45.0.260326154327"
9
  },
10
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.57.3/mobilenet_v3_small-qnn_dlc-w8a16.zip"
11
  }
12
  }
13
  },
@@ -18,20 +18,20 @@
18
  "qairt": "2.45.0.260326154327",
19
  "litert": "1.4.4"
20
  },
21
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.57.3/mobilenet_v3_small-tflite-float.zip"
22
  },
23
  "qnn_dlc": {
24
  "tool_versions": {
25
  "qairt": "2.45.0.260326154327"
26
  },
27
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.57.3/mobilenet_v3_small-qnn_dlc-float.zip"
28
  },
29
  "onnx": {
30
  "tool_versions": {
31
  "qairt": "2.45.0.260326154327",
32
  "onnx_runtime": "1.25.0"
33
  },
34
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.57.3/mobilenet_v3_small-onnx-float.zip"
35
  }
36
  }
37
  }
 
1
  {
2
+ "version": "0.58.0",
3
  "precisions": {
4
  "w8a16": {
5
  "universal_assets": {
 
7
  "tool_versions": {
8
  "qairt": "2.45.0.260326154327"
9
  },
10
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.58.0/mobilenet_v3_small-qnn_dlc-w8a16.zip"
11
  }
12
  }
13
  },
 
18
  "qairt": "2.45.0.260326154327",
19
  "litert": "1.4.4"
20
  },
21
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.58.0/mobilenet_v3_small-tflite-float.zip"
22
  },
23
  "qnn_dlc": {
24
  "tool_versions": {
25
  "qairt": "2.45.0.260326154327"
26
  },
27
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.58.0/mobilenet_v3_small-qnn_dlc-float.zip"
28
  },
29
  "onnx": {
30
  "tool_versions": {
31
  "qairt": "2.45.0.260326154327",
32
  "onnx_runtime": "1.25.0"
33
  },
34
+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v3_small/releases/v0.58.0/mobilenet_v3_small-onnx-float.zip"
35
  }
36
  }
37
  }