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MNASNet05

Image Classification
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v0.48.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.48.0 for changelog.

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  1. README.md +60 -60
README.md CHANGED
@@ -16,7 +16,7 @@ pipeline_tag: image-classification
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  MNASNet05 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.
17
 
18
  This is based on the implementation of MNASNet05 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/mnasnet.py).
19
- This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/mnasnet05) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  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.
22
 
@@ -29,25 +29,25 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
- | 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/mnasnet05/releases/v0.47.0/mnasnet05-onnx-float.zip)
33
- | ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mnasnet05/releases/v0.47.0/mnasnet05-onnx-w8a16.zip)
34
- | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mnasnet05/releases/v0.47.0/mnasnet05-qnn_dlc-float.zip)
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- | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mnasnet05/releases/v0.47.0/mnasnet05-qnn_dlc-w8a16.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/mnasnet05/releases/v0.47.0/mnasnet05-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[MNASNet05 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mnasnet05)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
- Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/mnasnet05) 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 [MNASNet05 on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/mnasnet05) for usage instructions.
51
 
52
  ## Model Details
53
 
@@ -63,60 +63,60 @@ See our repository for [MNASNet05 on GitHub](https://github.com/quic/ai-hub-mode
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
- | MNASNet05 | ONNX | float | Snapdragon® X Elite | 0.61 ms | 5 - 5 MB | NPU
67
- | MNASNet05 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.336 ms | 0 - 48 MB | NPU
68
- | MNASNet05 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.487 ms | 0 - 3 MB | NPU
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- | MNASNet05 | ONNX | float | Qualcomm® QCS9075 | 0.757 ms | 1 - 3 MB | NPU
 
70
  | MNASNet05 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.266 ms | 0 - 28 MB | NPU
71
  | MNASNet05 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.217 ms | 0 - 32 MB | NPU
72
- | MNASNet05 | ONNX | float | Snapdragon® X2 Elite | 0.233 ms | 5 - 5 MB | NPU
73
- | MNASNet05 | ONNX | w8a16 | Snapdragon® X Elite | 0.639 ms | 2 - 2 MB | NPU
74
- | MNASNet05 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.344 ms | 0 - 39 MB | NPU
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- | MNASNet05 | ONNX | w8a16 | Qualcomm® QCS6490 | 26.164 ms | 11 - 15 MB | CPU
76
- | MNASNet05 | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.515 ms | 0 - 7 MB | NPU
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- | MNASNet05 | ONNX | w8a16 | Qualcomm® QCS9075 | 0.685 ms | 0 - 3 MB | NPU
78
- | MNASNet05 | ONNX | w8a16 | Qualcomm® QCM6690 | 10.478 ms | 10 - 18 MB | CPU
79
- | MNASNet05 | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.263 ms | 0 - 27 MB | NPU
80
- | MNASNet05 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 7.765 ms | 13 - 21 MB | CPU
81
- | MNASNet05 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.217 ms | 0 - 33 MB | NPU
82
- | MNASNet05 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.226 ms | 0 - 0 MB | NPU
83
- | MNASNet05 | QNN_DLC | float | Snapdragon® X Elite | 0.98 ms | 1 - 1 MB | NPU
84
- | MNASNet05 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.525 ms | 0 - 47 MB | NPU
85
- | MNASNet05 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 2.33 ms | 1 - 30 MB | NPU
86
- | MNASNet05 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.82 ms | 1 - 2 MB | NPU
87
- | MNASNet05 | QNN_DLC | float | Qualcomm® SA8775P | 1.119 ms | 1 - 31 MB | NPU
88
- | MNASNet05 | QNN_DLC | float | Qualcomm® QCS9075 | 0.976 ms | 1 - 3 MB | NPU
89
- | MNASNet05 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.572 ms | 0 - 48 MB | NPU
90
- | MNASNet05 | QNN_DLC | float | Qualcomm® SA7255P | 2.33 ms | 1 - 30 MB | NPU
91
- | MNASNet05 | QNN_DLC | float | Qualcomm® SA8295P | 1.412 ms | 0 - 28 MB | NPU
92
- | MNASNet05 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.4 ms | 0 - 29 MB | NPU
93
- | MNASNet05 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.303 ms | 1 - 33 MB | NPU
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- | MNASNet05 | QNN_DLC | float | Snapdragon® X2 Elite | 0.498 ms | 1 - 1 MB | NPU
95
- | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® X Elite | 0.931 ms | 0 - 0 MB | NPU
96
- | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.526 ms | 0 - 36 MB | NPU
97
- | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 2.258 ms | 2 - 4 MB | NPU
98
- | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 1.654 ms | 0 - 27 MB | NPU
99
- | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.789 ms | 0 - 2 MB | NPU
100
- | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 4.179 ms | 0 - 26 MB | NPU
101
- | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 0.924 ms | 0 - 2 MB | NPU
102
- | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 3.042 ms | 0 - 138 MB | NPU
103
- | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 0.952 ms | 0 - 37 MB | NPU
104
- | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 1.654 ms | 0 - 27 MB | NPU
105
- | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.25 ms | 0 - 23 MB | NPU
106
- | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.36 ms | 0 - 25 MB | NPU
107
- | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.793 ms | 0 - 24 MB | NPU
108
- | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.294 ms | 0 - 28 MB | NPU
109
- | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.419 ms | 0 - 0 MB | NPU
110
- | MNASNet05 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.528 ms | 0 - 47 MB | NPU
111
- | MNASNet05 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 2.331 ms | 0 - 30 MB | NPU
112
- | MNASNet05 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 0.802 ms | 0 - 2 MB | NPU
113
- | MNASNet05 | TFLITE | float | Qualcomm® SA8775P | 1.141 ms | 0 - 32 MB | NPU
114
- | MNASNet05 | TFLITE | float | Qualcomm® QCS9075 | 0.985 ms | 0 - 8 MB | NPU
115
- | MNASNet05 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.573 ms | 0 - 50 MB | NPU
116
- | MNASNet05 | TFLITE | float | Qualcomm® SA7255P | 2.331 ms | 0 - 30 MB | NPU
117
- | MNASNet05 | TFLITE | float | Qualcomm® SA8295P | 1.453 ms | 0 - 29 MB | NPU
118
- | MNASNet05 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.399 ms | 0 - 30 MB | NPU
119
- | MNASNet05 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.306 ms | 0 - 35 MB | NPU
120
 
121
  ## License
122
  * The license for the original implementation of MNASNet05 can be found
 
16
  MNASNet05 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.
17
 
18
  This is based on the implementation of MNASNet05 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/mnasnet.py).
19
+ 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/mnasnet05) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  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.
22
 
 
29
 
30
  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
+ | 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/mnasnet05/releases/v0.48.0/mnasnet05-onnx-float.zip)
33
+ | ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mnasnet05/releases/v0.48.0/mnasnet05-onnx-w8a16.zip)
34
+ | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mnasnet05/releases/v0.48.0/mnasnet05-qnn_dlc-float.zip)
35
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mnasnet05/releases/v0.48.0/mnasnet05-qnn_dlc-w8a16.zip)
36
+ | 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/mnasnet05/releases/v0.48.0/mnasnet05-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[MNASNet05 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mnasnet05)**.
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/main/qai_hub_models/models/mnasnet05) 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 [MNASNet05 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/mnasnet05) for usage instructions.
51
 
52
  ## Model Details
53
 
 
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
+ | MNASNet05 | ONNX | float | Snapdragon® X2 Elite | 0.227 ms | 5 - 5 MB | NPU
67
+ | MNASNet05 | ONNX | float | Snapdragon® X Elite | 0.609 ms | 5 - 5 MB | NPU
68
+ | MNASNet05 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.335 ms | 0 - 47 MB | NPU
69
+ | MNASNet05 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.49 ms | 0 - 2 MB | NPU
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+ | MNASNet05 | ONNX | float | Qualcomm® QCS9075 | 0.761 ms | 1 - 3 MB | NPU
71
  | MNASNet05 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.266 ms | 0 - 28 MB | NPU
72
  | MNASNet05 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.217 ms | 0 - 32 MB | NPU
73
+ | MNASNet05 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.23 ms | 0 - 0 MB | NPU
74
+ | MNASNet05 | ONNX | w8a16 | Snapdragon® X Elite | 0.638 ms | 2 - 2 MB | NPU
75
+ | MNASNet05 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.345 ms | 0 - 41 MB | NPU
76
+ | MNASNet05 | ONNX | w8a16 | Qualcomm® QCS6490 | 29.042 ms | 9 - 13 MB | CPU
77
+ | MNASNet05 | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.518 ms | 0 - 5 MB | NPU
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+ | MNASNet05 | ONNX | w8a16 | Qualcomm® QCS9075 | 0.682 ms | 0 - 3 MB | NPU
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+ | MNASNet05 | ONNX | w8a16 | Qualcomm® QCM6690 | 10.227 ms | 10 - 18 MB | CPU
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+ | MNASNet05 | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.262 ms | 0 - 27 MB | NPU
81
+ | MNASNet05 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 7.798 ms | 12 - 19 MB | CPU
82
+ | MNASNet05 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.218 ms | 0 - 33 MB | NPU
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+ | MNASNet05 | QNN_DLC | float | Snapdragon® X2 Elite | 0.46 ms | 1 - 1 MB | NPU
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+ | MNASNet05 | QNN_DLC | float | Snapdragon® X Elite | 0.982 ms | 1 - 1 MB | NPU
85
+ | MNASNet05 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.517 ms | 0 - 46 MB | NPU
86
+ | MNASNet05 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 2.361 ms | 1 - 30 MB | NPU
87
+ | MNASNet05 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.819 ms | 1 - 19 MB | NPU
88
+ | MNASNet05 | QNN_DLC | float | Qualcomm® SA8775P | 1.121 ms | 1 - 32 MB | NPU
89
+ | MNASNet05 | QNN_DLC | float | Qualcomm® QCS9075 | 0.977 ms | 1 - 3 MB | NPU
90
+ | MNASNet05 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.57 ms | 0 - 48 MB | NPU
91
+ | MNASNet05 | QNN_DLC | float | Qualcomm® SA7255P | 2.361 ms | 1 - 30 MB | NPU
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+ | MNASNet05 | QNN_DLC | float | Qualcomm® SA8295P | 1.446 ms | 0 - 28 MB | NPU
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+ | MNASNet05 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.401 ms | 0 - 33 MB | NPU
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+ | MNASNet05 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.302 ms | 1 - 33 MB | NPU
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+ | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.424 ms | 0 - 0 MB | NPU
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+ | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® X Elite | 0.92 ms | 0 - 0 MB | NPU
97
+ | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.527 ms | 0 - 36 MB | NPU
98
+ | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 2.214 ms | 0 - 2 MB | NPU
99
+ | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 1.655 ms | 0 - 25 MB | NPU
100
+ | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.785 ms | 0 - 12 MB | NPU
101
+ | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 0.993 ms | 0 - 27 MB | NPU
102
+ | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 0.927 ms | 2 - 4 MB | NPU
103
+ | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 3.031 ms | 0 - 138 MB | NPU
104
+ | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 0.957 ms | 0 - 38 MB | NPU
105
+ | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 1.655 ms | 0 - 25 MB | NPU
106
+ | MNASNet05 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.273 ms | 0 - 23 MB | NPU
107
+ | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.362 ms | 0 - 28 MB | NPU
108
+ | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.795 ms | 0 - 25 MB | NPU
109
+ | MNASNet05 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.292 ms | 0 - 28 MB | NPU
110
+ | MNASNet05 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.525 ms | 0 - 48 MB | NPU
111
+ | MNASNet05 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 2.342 ms | 0 - 30 MB | NPU
112
+ | MNASNet05 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 0.804 ms | 0 - 1 MB | NPU
113
+ | MNASNet05 | TFLITE | float | Qualcomm® SA8775P | 1.136 ms | 0 - 33 MB | NPU
114
+ | MNASNet05 | TFLITE | float | Qualcomm® QCS9075 | 0.986 ms | 0 - 8 MB | NPU
115
+ | MNASNet05 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.58 ms | 0 - 50 MB | NPU
116
+ | MNASNet05 | TFLITE | float | Qualcomm® SA7255P | 2.342 ms | 0 - 30 MB | NPU
117
+ | MNASNet05 | TFLITE | float | Qualcomm® SA8295P | 1.439 ms | 0 - 29 MB | NPU
118
+ | MNASNet05 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.398 ms | 0 - 30 MB | NPU
119
+ | MNASNet05 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.306 ms | 0 - 33 MB | NPU
 
120
 
121
  ## License
122
  * The license for the original implementation of MNASNet05 can be found