Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
@@ -34,39 +34,39 @@ More details on model performance across various devices, can be found
|
|
34 |
|
35 |
| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
|
36 |
|---|---|---|---|---|---|---|---|---|
|
37 |
-
| QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.
|
38 |
-
| QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.
|
39 |
-
| QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.
|
40 |
-
| QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE |
|
41 |
-
| QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.
|
42 |
-
| QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.
|
43 |
-
| QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.
|
44 |
-
| QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.
|
45 |
-
| QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX |
|
46 |
-
| QuickSRNetMedium | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.
|
47 |
-
| QuickSRNetMedium | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.
|
48 |
-
| QuickSRNetMedium | SA7255P ADP | SA7255P | TFLITE | 16.
|
49 |
-
| QuickSRNetMedium | SA7255P ADP | SA7255P | QNN |
|
50 |
-
| QuickSRNetMedium | SA8255 (Proxy) | SA8255P Proxy | TFLITE |
|
51 |
-
| QuickSRNetMedium | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.
|
52 |
-
| QuickSRNetMedium | SA8295P ADP | SA8295P | TFLITE | 2.
|
53 |
-
| QuickSRNetMedium | SA8295P ADP | SA8295P | QNN | 1.
|
54 |
-
| QuickSRNetMedium | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.
|
55 |
-
| QuickSRNetMedium | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.
|
56 |
-
| QuickSRNetMedium | SA8775P ADP | SA8775P | TFLITE | 2.
|
57 |
-
| QuickSRNetMedium | SA8775P ADP | SA8775P | QNN | 1.
|
58 |
-
| QuickSRNetMedium | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE |
|
59 |
-
| QuickSRNetMedium | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.
|
60 |
-
| QuickSRNetMedium | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.
|
61 |
-
| QuickSRNetMedium | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.
|
62 |
|
63 |
|
64 |
|
65 |
|
66 |
## Installation
|
67 |
|
68 |
-
This model can be installed as a Python package via pip.
|
69 |
|
|
|
70 |
```bash
|
71 |
pip install qai-hub-models
|
72 |
```
|
@@ -122,7 +122,7 @@ Profiling Results
|
|
122 |
QuickSRNetMedium
|
123 |
Device : Samsung Galaxy S23 (13)
|
124 |
Runtime : TFLITE
|
125 |
-
Estimated inference time (ms) : 1.
|
126 |
Estimated peak memory usage (MB): [0, 10]
|
127 |
Total # Ops : 17
|
128 |
Compute Unit(s) : NPU (14 ops) CPU (3 ops)
|
@@ -150,7 +150,7 @@ from qai_hub_models.models.quicksrnetmedium import Model
|
|
150 |
torch_model = Model.from_pretrained()
|
151 |
|
152 |
# Device
|
153 |
-
device = hub.Device("Samsung Galaxy
|
154 |
|
155 |
# Trace model
|
156 |
input_shape = torch_model.get_input_spec()
|
@@ -242,7 +242,8 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
|
|
242 |
|
243 |
|
244 |
## License
|
245 |
-
* The license for the original implementation of QuickSRNetMedium can be found
|
|
|
246 |
* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
|
247 |
|
248 |
|
|
|
34 |
|
35 |
| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
|
36 |
|---|---|---|---|---|---|---|---|---|
|
37 |
+
| QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.39 ms | 0 - 10 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
|
38 |
+
| QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.023 ms | 0 - 7 MB | FP16 | NPU | [QuickSRNetMedium.so](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.so) |
|
39 |
+
| QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.517 ms | 0 - 7 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
|
40 |
+
| QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.877 ms | 0 - 23 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
|
41 |
+
| QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.66 ms | 0 - 23 MB | FP16 | NPU | [QuickSRNetMedium.so](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.so) |
|
42 |
+
| QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.037 ms | 0 - 24 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
|
43 |
+
| QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.097 ms | 0 - 16 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
|
44 |
+
| QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.666 ms | 0 - 16 MB | FP16 | NPU | Use Export Script |
|
45 |
+
| QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.924 ms | 0 - 17 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
|
46 |
+
| QuickSRNetMedium | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.375 ms | 0 - 10 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
|
47 |
+
| QuickSRNetMedium | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.934 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
|
48 |
+
| QuickSRNetMedium | SA7255P ADP | SA7255P | TFLITE | 16.198 ms | 6 - 15 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
|
49 |
+
| QuickSRNetMedium | SA7255P ADP | SA7255P | QNN | 13.971 ms | 0 - 9 MB | FP16 | NPU | Use Export Script |
|
50 |
+
| QuickSRNetMedium | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.407 ms | 0 - 3 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
|
51 |
+
| QuickSRNetMedium | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.929 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
|
52 |
+
| QuickSRNetMedium | SA8295P ADP | SA8295P | TFLITE | 2.151 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
|
53 |
+
| QuickSRNetMedium | SA8295P ADP | SA8295P | QNN | 1.982 ms | 0 - 15 MB | FP16 | NPU | Use Export Script |
|
54 |
+
| QuickSRNetMedium | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.371 ms | 0 - 11 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
|
55 |
+
| QuickSRNetMedium | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.935 ms | 0 - 3 MB | FP16 | NPU | Use Export Script |
|
56 |
+
| QuickSRNetMedium | SA8775P ADP | SA8775P | TFLITE | 2.519 ms | 0 - 10 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
|
57 |
+
| QuickSRNetMedium | SA8775P ADP | SA8775P | QNN | 1.91 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
|
58 |
+
| QuickSRNetMedium | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 2.475 ms | 6 - 21 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
|
59 |
+
| QuickSRNetMedium | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.338 ms | 0 - 15 MB | FP16 | NPU | Use Export Script |
|
60 |
+
| QuickSRNetMedium | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.03 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
|
61 |
+
| QuickSRNetMedium | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.52 ms | 9 - 9 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
|
62 |
|
63 |
|
64 |
|
65 |
|
66 |
## Installation
|
67 |
|
|
|
68 |
|
69 |
+
Install the package via pip:
|
70 |
```bash
|
71 |
pip install qai-hub-models
|
72 |
```
|
|
|
122 |
QuickSRNetMedium
|
123 |
Device : Samsung Galaxy S23 (13)
|
124 |
Runtime : TFLITE
|
125 |
+
Estimated inference time (ms) : 1.4
|
126 |
Estimated peak memory usage (MB): [0, 10]
|
127 |
Total # Ops : 17
|
128 |
Compute Unit(s) : NPU (14 ops) CPU (3 ops)
|
|
|
150 |
torch_model = Model.from_pretrained()
|
151 |
|
152 |
# Device
|
153 |
+
device = hub.Device("Samsung Galaxy S24")
|
154 |
|
155 |
# Trace model
|
156 |
input_shape = torch_model.get_input_spec()
|
|
|
242 |
|
243 |
|
244 |
## License
|
245 |
+
* The license for the original implementation of QuickSRNetMedium can be found
|
246 |
+
[here](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf).
|
247 |
* The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
|
248 |
|
249 |
|