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v0.63.0

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See https://github.com/qualcomm/ai-hub-models/releases/v0.63.0 for changelog.

Files changed (2) hide show
  1. README.md +80 -86
  2. release_assets.json +11 -11
README.md CHANGED
@@ -16,7 +16,7 @@ pipeline_tag: object-detection
16
  MobileFaceNet is an efficient CNN that maps a 112x112 face image to a compact 128-dimensional embedding. Two embeddings are compared via cosine similarity to determine whether they belong to the same person, achieving 99.48% accuracy on the LFW benchmark. The model uses depthwise-separable convolutions and inverted residual blocks (MobileNetV2-style) to stay under 1M parameters, making it well-suited for real-time face verification on mobile and edge devices. Trained with ArcFace loss on MS-Celeb-1M.
17
 
18
  This is based on the implementation of MobileFaceNet found [here](https://github.com/foamliu/MobileFaceNet).
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/v0.62.2/src/qai_hub_models/models/mobile_facenet) 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.
29
 
30
  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
- | ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.62.2/mobile_facenet-onnx-float.zip)
33
- | ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.62.2/mobile_facenet-onnx-w8a16.zip)
34
- | QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.62.2/mobile_facenet-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/mobile_facenet/releases/v0.62.2/mobile_facenet-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/mobile_facenet/releases/v0.62.2/mobile_facenet-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[MobileFaceNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mobile_facenet)**.
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/v0.62.2/src/qai_hub_models/models/mobile_facenet) 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 [MobileFaceNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.62.2/src/qai_hub_models/models/mobile_facenet) for usage instructions.
51
 
52
  ## Model Details
53
 
@@ -63,86 +63,80 @@ See our repository for [MobileFaceNet on GitHub](https://github.com/qualcomm/ai-
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
- | MobileFaceNet | ONNX | float | Snapdragon® X2 Elite | 0.584 ms | 1 - 1 MB | NPU
67
- | MobileFaceNet | ONNX | float | Snapdragon® X Elite | 1.048 ms | 0 - 0 MB | NPU
68
- | MobileFaceNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.705 ms | 0 - 51 MB | NPU
69
- | MobileFaceNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 1.514 ms | 0 - 54 MB | NPU
70
- | MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.472 ms | 0 - 4 MB | NPU
71
- | MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.002 ms | 0 - 5 MB | NPU
72
- | MobileFaceNet | ONNX | float | Qualcomm® QCS8450 | 1.514 ms | 0 - 54 MB | NPU
73
- | MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.38 ms | 0 - 3 MB | NPU
74
- | MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.048 ms | 0 - 0 MB | NPU
75
- | MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.564 ms | 0 - 31 MB | NPU
76
- | MobileFaceNet | ONNX | float | Snapdragon® 8 Elite Mobile | 0.564 ms | 0 - 31 MB | NPU
77
- | MobileFaceNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.505 ms | 0 - 32 MB | NPU
78
- | MobileFaceNet | ONNX | w8a16 | Snapdragon® X2 Elite | 0.443 ms | 1 - 1 MB | NPU
79
- | MobileFaceNet | ONNX | w8a16 | Snapdragon® X Elite | 0.823 ms | 0 - 0 MB | NPU
80
- | MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.577 ms | 0 - 53 MB | NPU
81
- | MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.092 ms | 0 - 58 MB | NPU
82
- | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 2.966 ms | 0 - 3 MB | NPU
83
- | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 0.874 ms | 0 - 4 MB | NPU
84
- | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.799 ms | 0 - 4 MB | NPU
85
- | MobileFaceNet | ONNX | w8a16 | Qualcomm® QCS8450 | 1.092 ms | 0 - 58 MB | NPU
86
- | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 0.911 ms | 0 - 3 MB | NPU
87
- | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 0.823 ms | 0 - 0 MB | NPU
88
- | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 5.412 ms | 0 - 158 MB | NPU
89
- | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 0.925 ms | 0 - 41 MB | NPU
90
- | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.457 ms | 0 - 45 MB | NPU
91
- | MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.457 ms | 0 - 45 MB | NPU
92
- | MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.369 ms | 0 - 41 MB | NPU
93
- | MobileFaceNet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.925 ms | 0 - 41 MB | NPU
94
- | MobileFaceNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.68 ms | 0 - 0 MB | NPU
95
- | MobileFaceNet | QNN_DLC | float | Snapdragon® X Elite | 1.314 ms | 0 - 0 MB | NPU
96
- | MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.792 ms | 0 - 46 MB | NPU
97
- | MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1.645 ms | 0 - 50 MB | NPU
98
- | MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.471 ms | 0 - 3 MB | NPU
99
- | MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.132 ms | 0 - 2 MB | NPU
100
- | MobileFaceNet | QNN_DLC | float | Qualcomm® SA8775P | 1.677 ms | 0 - 33 MB | NPU
101
- | MobileFaceNet | QNN_DLC | float | Qualcomm® SA8650P | 1.677 ms | 0 - 33 MB | NPU
102
- | MobileFaceNet | QNN_DLC | float | Qualcomm® SA8255P | 1.677 ms | 0 - 33 MB | NPU
103
- | MobileFaceNet | QNN_DLC | float | Qualcomm® QCS8450 | 1.645 ms | 0 - 50 MB | NPU
104
- | MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.498 ms | 0 - 2 MB | NPU
105
- | MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.314 ms | 0 - 0 MB | NPU
106
- | MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.602 ms | 0 - 31 MB | NPU
107
- | MobileFaceNet | QNN_DLC | float | Qualcomm® SA7255P | 4.475 ms | 0 - 30 MB | NPU
108
- | MobileFaceNet | QNN_DLC | float | Qualcomm® SA8295P | 2.018 ms | 0 - 29 MB | NPU
109
- | MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.602 ms | 0 - 31 MB | NPU
110
- | MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.479 ms | 0 - 32 MB | NPU
111
- | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.592 ms | 0 - 0 MB | NPU
112
- | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.156 ms | 0 - 0 MB | NPU
113
- | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.689 ms | 0 - 47 MB | NPU
114
- | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.228 ms | 0 - 52 MB | NPU
115
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 3.644 ms | 0 - 2 MB | NPU
116
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 0.983 ms | 0 - 2 MB | NPU
117
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.992 ms | 0 - 11 MB | NPU
118
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.205 ms | 0 - 38 MB | NPU
119
  | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.205 ms | 0 - 38 MB | NPU
120
  | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.205 ms | 0 - 38 MB | NPU
121
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 1.228 ms | 0 - 52 MB | NPU
122
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.084 ms | 0 - 2 MB | NPU
123
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.156 ms | 0 - 0 MB | NPU
124
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.133 ms | 0 - 149 MB | NPU
125
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.078 ms | 0 - 35 MB | NPU
126
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.492 ms | 0 - 36 MB | NPU
127
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® SA7255P | 2.244 ms | 0 - 35 MB | NPU
128
- | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.622 ms | 0 - 34 MB | NPU
129
- | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.492 ms | 0 - 36 MB | NPU
130
- | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.39 ms | 0 - 37 MB | NPU
131
- | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.078 ms | 0 - 35 MB | NPU
132
- | MobileFaceNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.701 ms | 0 - 47 MB | NPU
133
- | MobileFaceNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1.483 ms | 0 - 49 MB | NPU
134
- | MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.44 ms | 0 - 6 MB | NPU
135
- | MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.973 ms | 0 - 2 MB | NPU
136
- | MobileFaceNet | TFLITE | float | Qualcomm® SA8775P | 1.508 ms | 0 - 36 MB | NPU
137
- | MobileFaceNet | TFLITE | float | Qualcomm® SA8650P | 1.508 ms | 0 - 36 MB | NPU
138
- | MobileFaceNet | TFLITE | float | Qualcomm® SA8255P | 1.508 ms | 0 - 36 MB | NPU
139
- | MobileFaceNet | TFLITE | float | Qualcomm® QCS8450 | 1.483 ms | 0 - 49 MB | NPU
140
- | MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.336 ms | 0 - 5 MB | NPU
141
- | MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.572 ms | 0 - 30 MB | NPU
142
- | MobileFaceNet | TFLITE | float | Qualcomm® SA7255P | 4.451 ms | 0 - 32 MB | NPU
143
- | MobileFaceNet | TFLITE | float | Qualcomm® SA8295P | 1.793 ms | 0 - 29 MB | NPU
144
- | MobileFaceNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.572 ms | 0 - 30 MB | NPU
145
- | MobileFaceNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.504 ms | 0 - 31 MB | NPU
146
 
147
  ## License
148
  * The license for the original implementation of MobileFaceNet can be found
 
16
  MobileFaceNet is an efficient CNN that maps a 112x112 face image to a compact 128-dimensional embedding. Two embeddings are compared via cosine similarity to determine whether they belong to the same person, achieving 99.48% accuracy on the LFW benchmark. The model uses depthwise-separable convolutions and inverted residual blocks (MobileNetV2-style) to stay under 1M parameters, making it well-suited for real-time face verification on mobile and edge devices. Trained with ArcFace loss on MS-Celeb-1M.
17
 
18
  This is based on the implementation of MobileFaceNet found [here](https://github.com/foamliu/MobileFaceNet).
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/v0.63.0/src/qai_hub_models/models/mobile_facenet) 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 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-onnx-float.zip)
33
+ | ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-onnx-w8a16.zip)
34
+ | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-qnn_dlc-float.zip)
35
+ | QNN_DLC | w8a16 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-qnn_dlc-w8a16.zip)
36
+ | TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[MobileFaceNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mobile_facenet)**.
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/v0.63.0/src/qai_hub_models/models/mobile_facenet) 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 [MobileFaceNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/mobile_facenet) 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
+ | MobileFaceNet | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.531 ms | 0 - 38 MB | NPU
67
+ | MobileFaceNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.545 ms | 0 - 41 MB | NPU
68
+ | MobileFaceNet | ONNX | float | Snapdragon® X2 Elite | 0.609 ms | 1 - 1 MB | NPU
69
+ | MobileFaceNet | ONNX | float | Snapdragon® X Elite | 1.034 ms | 0 - 0 MB | NPU
70
+ | MobileFaceNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.699 ms | 0 - 57 MB | NPU
71
+ | MobileFaceNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 1.467 ms | 0 - 59 MB | NPU
72
+ | MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.457 ms | 0 - 4 MB | NPU
73
+ | MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.001 ms | 0 - 5 MB | NPU
74
+ | MobileFaceNet | ONNX | float | Qualcomm® QCS8450 | 1.467 ms | 0 - 59 MB | NPU
75
+ | MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.393 ms | 0 - 4 MB | NPU
76
+ | MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.034 ms | 0 - 0 MB | NPU
77
+ | MobileFaceNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.545 ms | 0 - 41 MB | NPU
78
+ | MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.377 ms | 0 - 47 MB | NPU
79
+ | MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.451 ms | 0 - 51 MB | NPU
80
+ | MobileFaceNet | ONNX | w8a16 | Snapdragon® X2 Elite | 0.459 ms | 1 - 1 MB | NPU
81
+ | MobileFaceNet | ONNX | w8a16 | Snapdragon® X Elite | 0.819 ms | 0 - 0 MB | NPU
82
+ | MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.575 ms | 0 - 59 MB | NPU
83
+ | MobileFaceNet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.054 ms | 0 - 61 MB | NPU
84
+ | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 2.372 ms | 0 - 3 MB | NPU
85
+ | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 0.879 ms | 0 - 4 MB | NPU
86
+ | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.797 ms | 0 - 3 MB | NPU
87
+ | MobileFaceNet | ONNX | w8a16 | Qualcomm® QCS8450 | 1.054 ms | 0 - 61 MB | NPU
88
+ | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 0.907 ms | 0 - 3 MB | NPU
89
+ | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 0.819 ms | 0 - 0 MB | NPU
90
+ | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 5.437 ms | 0 - 158 MB | NPU
91
+ | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 0.924 ms | 0 - 46 MB | NPU
92
+ | MobileFaceNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.451 ms | 0 - 51 MB | NPU
93
+ | MobileFaceNet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.924 ms | 0 - 46 MB | NPU
94
+ | MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.532 ms | 0 - 35 MB | NPU
95
+ | MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.591 ms | 0 - 34 MB | NPU
96
+ | MobileFaceNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.733 ms | 0 - 0 MB | NPU
97
+ | MobileFaceNet | QNN_DLC | float | Snapdragon® X Elite | 1.343 ms | 0 - 0 MB | NPU
98
+ | MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.786 ms | 0 - 50 MB | NPU
99
+ | MobileFaceNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1.624 ms | 0 - 55 MB | NPU
100
+ | MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.464 ms | 0 - 3 MB | NPU
101
+ | MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.171 ms | 0 - 30 MB | NPU
102
+ | MobileFaceNet | QNN_DLC | float | Qualcomm® QCS8450 | 1.624 ms | 0 - 55 MB | NPU
103
+ | MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.496 ms | 0 - 3 MB | NPU
104
+ | MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.343 ms | 0 - 0 MB | NPU
105
+ | MobileFaceNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.591 ms | 0 - 34 MB | NPU
106
+ | MobileFaceNet | QNN_DLC | float | Qualcomm® SA8295P | 1.907 ms | 0 - 33 MB | NPU
107
+ | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.389 ms | 0 - 42 MB | NPU
108
+ | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.497 ms | 0 - 41 MB | NPU
109
+ | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.585 ms | 0 - 0 MB | NPU
110
+ | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.154 ms | 0 - 0 MB | NPU
111
+ | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.682 ms | 0 - 53 MB | NPU
112
+ | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.202 ms | 0 - 58 MB | NPU
113
+ | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 2.705 ms | 0 - 2 MB | NPU
114
+ | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 0.966 ms | 0 - 3 MB | NPU
115
+ | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.997 ms | 0 - 2 MB | NPU
 
 
 
116
  | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.205 ms | 0 - 38 MB | NPU
117
  | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.205 ms | 0 - 38 MB | NPU
118
+ | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 1.202 ms | 0 - 58 MB | NPU
119
+ | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.091 ms | 0 - 2 MB | NPU
120
+ | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.154 ms | 0 - 0 MB | NPU
121
+ | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.035 ms | 0 - 148 MB | NPU
122
+ | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.081 ms | 0 - 40 MB | NPU
123
+ | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.497 ms | 0 - 41 MB | NPU
124
+ | MobileFaceNet | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.456 ms | 0 - 40 MB | NPU
125
+ | MobileFaceNet | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.081 ms | 0 - 40 MB | NPU
126
+ | MobileFaceNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.533 ms | 0 - 36 MB | NPU
127
+ | MobileFaceNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.562 ms | 0 - 35 MB | NPU
128
+ | MobileFaceNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.699 ms | 9 - 60 MB | NPU
129
+ | MobileFaceNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1.411 ms | 0 - 53 MB | NPU
130
+ | MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.442 ms | 0 - 6 MB | NPU
131
+ | MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.976 ms | 0 - 2 MB | NPU
132
+ | MobileFaceNet | TFLITE | float | Qualcomm® SA8775P | 16.232 ms | 1 - 6 MB | CPU
133
+ | MobileFaceNet | TFLITE | float | Qualcomm® SA8650P | 16.232 ms | 1 - 6 MB | CPU
134
+ | MobileFaceNet | TFLITE | float | Qualcomm® SA8255P | 16.232 ms | 1 - 6 MB | CPU
135
+ | MobileFaceNet | TFLITE | float | Qualcomm® QCS8450 | 1.411 ms | 0 - 53 MB | NPU
136
+ | MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.357 ms | 0 - 5 MB | NPU
137
+ | MobileFaceNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.562 ms | 0 - 35 MB | NPU
138
+ | MobileFaceNet | TFLITE | float | Qualcomm® SA7255P | 4.497 ms | 0 - 38 MB | NPU
139
+ | MobileFaceNet | TFLITE | float | Qualcomm® SA8295P | 1.702 ms | 0 - 33 MB | NPU
 
 
 
140
 
141
  ## License
142
  * The license for the original implementation of MobileFaceNet can be found
release_assets.json CHANGED
@@ -1,26 +1,26 @@
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  {
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- "version": "0.62.2",
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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": "2.45.0.260326154327",
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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/mobile_facenet/releases/v0.62.2/mobile_facenet-onnx-float.zip"
12
  },
13
  "qnn_dlc": {
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  "tool_versions": {
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- "qairt": "2.45.0.260326154327"
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  },
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- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.62.2/mobile_facenet-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
20
  "tool_versions": {
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- "qairt": "2.45.0.260326154327"
22
  },
23
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.62.2/mobile_facenet-tflite-float.zip"
24
  }
25
  }
26
  },
@@ -28,16 +28,16 @@
28
  "universal_assets": {
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  "onnx": {
30
  "tool_versions": {
31
- "qairt": "2.45.0.260326154327",
32
  "onnx_runtime": "1.27.1"
33
  },
34
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.62.2/mobile_facenet-onnx-w8a16.zip"
35
  },
36
  "qnn_dlc": {
37
  "tool_versions": {
38
- "qairt": "2.45.0.260326154327"
39
  },
40
- "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.62.2/mobile_facenet-qnn_dlc-w8a16.zip"
41
  }
42
  }
43
  }
 
1
  {
2
+ "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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  "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/mobile_facenet/releases/v0.63.0/mobile_facenet-onnx-float.zip"
12
  },
13
  "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/mobile_facenet/releases/v0.63.0/mobile_facenet-qnn_dlc-float.zip"
18
  },
19
  "tflite": {
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  "tool_versions": {
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+ "qairt": "2.50.0.260828221209"
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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-tflite-float.zip"
24
  }
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  }
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  },
 
28
  "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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+ "download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobile_facenet/releases/v0.63.0/mobile_facenet-onnx-w8a16.zip"
35
  },
36
  "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/mobile_facenet/releases/v0.63.0/mobile_facenet-qnn_dlc-w8a16.zip"
41
  }
42
  }
43
  }