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@@ -35,45 +35,44 @@ More details on model performance across various devices, can be found
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  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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- | FFNet-122NS-LowRes | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 12.232 ms | 0 - 61 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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- | FFNet-122NS-LowRes | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 14.335 ms | 6 - 27 MB | FP16 | NPU | [FFNet-122NS-LowRes.so](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.so) |
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- | FFNet-122NS-LowRes | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.343 ms | 2 - 185 MB | FP16 | NPU | [FFNet-122NS-LowRes.onnx](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.onnx) |
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- | FFNet-122NS-LowRes | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 8.429 ms | 1 - 31 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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- | FFNet-122NS-LowRes | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 9.754 ms | 6 - 35 MB | FP16 | NPU | [FFNet-122NS-LowRes.so](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.so) |
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- | FFNet-122NS-LowRes | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 5.934 ms | 6 - 58 MB | FP16 | NPU | [FFNet-122NS-LowRes.onnx](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.onnx) |
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- | FFNet-122NS-LowRes | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 6.911 ms | 1 - 30 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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- | FFNet-122NS-LowRes | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 10.348 ms | 6 - 31 MB | FP16 | NPU | Use Export Script |
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- | FFNet-122NS-LowRes | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 4.447 ms | 6 - 41 MB | FP16 | NPU | [FFNet-122NS-LowRes.onnx](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.onnx) |
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- | FFNet-122NS-LowRes | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 12.208 ms | 0 - 40 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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- | FFNet-122NS-LowRes | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 10.758 ms | 6 - 9 MB | FP16 | NPU | Use Export Script |
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- | FFNet-122NS-LowRes | SA7255P ADP | SA7255P | TFLITE | 215.507 ms | 0 - 23 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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- | FFNet-122NS-LowRes | SA7255P ADP | SA7255P | QNN | 211.423 ms | 6 - 16 MB | FP16 | NPU | Use Export Script |
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- | FFNet-122NS-LowRes | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 12.295 ms | 1 - 20 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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- | FFNet-122NS-LowRes | SA8255 (Proxy) | SA8255P Proxy | QNN | 10.72 ms | 6 - 8 MB | FP16 | NPU | Use Export Script |
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- | FFNet-122NS-LowRes | SA8295P ADP | SA8295P | TFLITE | 18.947 ms | 1 - 26 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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- | FFNet-122NS-LowRes | SA8295P ADP | SA8295P | QNN | 15.154 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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- | FFNet-122NS-LowRes | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 12.34 ms | 1 - 31 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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- | FFNet-122NS-LowRes | SA8650 (Proxy) | SA8650P Proxy | QNN | 10.873 ms | 6 - 9 MB | FP16 | NPU | Use Export Script |
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- | FFNet-122NS-LowRes | SA8775P ADP | SA8775P | TFLITE | 18.929 ms | 1 - 25 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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- | FFNet-122NS-LowRes | SA8775P ADP | SA8775P | QNN | 17.168 ms | 2 - 12 MB | FP16 | NPU | Use Export Script |
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- | FFNet-122NS-LowRes | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 16.271 ms | 0 - 30 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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- | FFNet-122NS-LowRes | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 18.095 ms | 6 - 31 MB | FP16 | NPU | Use Export Script |
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- | FFNet-122NS-LowRes | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 11.142 ms | 6 - 6 MB | FP16 | NPU | Use Export Script |
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- | FFNet-122NS-LowRes | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 8.131 ms | 59 - 59 MB | FP16 | NPU | [FFNet-122NS-LowRes.onnx](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.onnx) |
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  ## Installation
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- This model can be installed as a Python package via pip.
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  ```bash
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- pip install "qai-hub-models[ffnet_122ns_lowres]"
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  ```
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-
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  ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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  Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
@@ -124,8 +123,8 @@ Profiling Results
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  FFNet-122NS-LowRes
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 12.2
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- Estimated peak memory usage (MB): [0, 61]
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  Total # Ops : 218
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  Compute Unit(s) : NPU (218 ops)
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  ```
@@ -152,7 +151,7 @@ from qai_hub_models.models.ffnet_122ns_lowres import Model
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  torch_model = Model.from_pretrained()
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  # Device
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- device = hub.Device("Samsung Galaxy S23")
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  # Trace model
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  input_shape = torch_model.get_input_spec()
@@ -244,7 +243,8 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
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  ## License
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- * The license for the original implementation of FFNet-122NS-LowRes can be found [here](https://github.com/Qualcomm-AI-research/FFNet/blob/master/LICENSE).
 
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  * 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)
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  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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+ | FFNet-122NS-LowRes | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 12.146 ms | 0 - 38 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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+ | FFNet-122NS-LowRes | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 14.329 ms | 7 - 32 MB | FP16 | NPU | [FFNet-122NS-LowRes.so](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.so) |
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+ | FFNet-122NS-LowRes | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.351 ms | 0 - 192 MB | FP16 | NPU | [FFNet-122NS-LowRes.onnx](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.onnx) |
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+ | FFNet-122NS-LowRes | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 8.4 ms | 1 - 31 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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+ | FFNet-122NS-LowRes | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 9.739 ms | 6 - 36 MB | FP16 | NPU | [FFNet-122NS-LowRes.so](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.so) |
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+ | FFNet-122NS-LowRes | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 5.937 ms | 6 - 56 MB | FP16 | NPU | [FFNet-122NS-LowRes.onnx](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.onnx) |
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+ | FFNet-122NS-LowRes | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 6.92 ms | 0 - 28 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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+ | FFNet-122NS-LowRes | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 10.337 ms | 6 - 32 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-122NS-LowRes | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 4.619 ms | 8 - 41 MB | FP16 | NPU | [FFNet-122NS-LowRes.onnx](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.onnx) |
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+ | FFNet-122NS-LowRes | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 12.227 ms | 0 - 61 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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+ | FFNet-122NS-LowRes | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 10.787 ms | 6 - 9 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-122NS-LowRes | SA7255P ADP | SA7255P | TFLITE | 215.361 ms | 0 - 23 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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+ | FFNet-122NS-LowRes | SA7255P ADP | SA7255P | QNN | 211.532 ms | 4 - 14 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-122NS-LowRes | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 12.215 ms | 0 - 51 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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+ | FFNet-122NS-LowRes | SA8255 (Proxy) | SA8255P Proxy | QNN | 10.899 ms | 6 - 8 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-122NS-LowRes | SA8295P ADP | SA8295P | TFLITE | 18.931 ms | 1 - 26 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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+ | FFNet-122NS-LowRes | SA8295P ADP | SA8295P | QNN | 15.399 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-122NS-LowRes | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 12.311 ms | 0 - 31 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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+ | FFNet-122NS-LowRes | SA8650 (Proxy) | SA8650P Proxy | QNN | 10.753 ms | 8 - 10 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-122NS-LowRes | SA8775P ADP | SA8775P | TFLITE | 18.935 ms | 1 - 24 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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+ | FFNet-122NS-LowRes | SA8775P ADP | SA8775P | QNN | 17.147 ms | 2 - 12 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-122NS-LowRes | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 16.375 ms | 1 - 28 MB | FP16 | NPU | [FFNet-122NS-LowRes.tflite](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.tflite) |
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+ | FFNet-122NS-LowRes | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 18.05 ms | 6 - 29 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-122NS-LowRes | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 11.205 ms | 6 - 6 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-122NS-LowRes | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 8.085 ms | 58 - 58 MB | FP16 | NPU | [FFNet-122NS-LowRes.onnx](https://huggingface.co/qualcomm/FFNet-122NS-LowRes/blob/main/FFNet-122NS-LowRes.onnx) |
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  ## Installation
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+ Install the package via pip:
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  ```bash
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+ pip install "qai-hub-models[ffnet-122ns-lowres]"
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  ```
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  ## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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  Sign-in to [Qualcomm® AI Hub](https://app.aihub.qualcomm.com/) with your
 
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  FFNet-122NS-LowRes
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 12.1
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+ Estimated peak memory usage (MB): [0, 38]
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  Total # Ops : 218
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  Compute Unit(s) : NPU (218 ops)
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  ```
 
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  torch_model = Model.from_pretrained()
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  # Device
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+ device = hub.Device("Samsung Galaxy S24")
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  # Trace model
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  input_shape = torch_model.get_input_spec()
 
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  ## License
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+ * The license for the original implementation of FFNet-122NS-LowRes can be found
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+ [here](https://github.com/Qualcomm-AI-research/FFNet/blob/master/LICENSE).
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  * 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)
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