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FFNet-40S

Image Segmentation
PyTorch
TF Lite
ONNX
real_time
android
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@@ -36,29 +36,31 @@ 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-40S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 16.938 ms | 2 - 5 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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- | FFNet-40S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 17.362 ms | 24 - 48 MB | FP16 | NPU | [FFNet-40S.so](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.so) |
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- | FFNet-40S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 24.661 ms | 24 - 54 MB | FP16 | NPU | [FFNet-40S.onnx](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.onnx) |
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- | FFNet-40S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 12.305 ms | 1 - 103 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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- | FFNet-40S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 12.568 ms | 24 - 60 MB | FP16 | NPU | [FFNet-40S.so](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.so) |
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- | FFNet-40S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 18.446 ms | 31 - 157 MB | FP16 | NPU | [FFNet-40S.onnx](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.onnx) |
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- | FFNet-40S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 11.87 ms | 1 - 43 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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- | FFNet-40S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 12.122 ms | 33 - 65 MB | FP16 | NPU | Use Export Script |
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- | FFNet-40S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 15.688 ms | 19 - 70 MB | FP16 | NPU | [FFNet-40S.onnx](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.onnx) |
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- | FFNet-40S | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 16.894 ms | 2 - 5 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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- | FFNet-40S | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 16.325 ms | 24 - 25 MB | FP16 | NPU | Use Export Script |
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- | FFNet-40S | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 16.927 ms | 2 - 5 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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- | FFNet-40S | SA8255 (Proxy) | SA8255P Proxy | QNN | 16.448 ms | 24 - 26 MB | FP16 | NPU | Use Export Script |
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- | FFNet-40S | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 16.989 ms | 0 - 7 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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- | FFNet-40S | SA8775 (Proxy) | SA8775P Proxy | QNN | 16.673 ms | 24 - 25 MB | FP16 | NPU | Use Export Script |
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- | FFNet-40S | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 16.923 ms | 2 - 4 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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- | FFNet-40S | SA8650 (Proxy) | SA8650P Proxy | QNN | 16.644 ms | 24 - 26 MB | FP16 | NPU | Use Export Script |
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- | FFNet-40S | SA8295P ADP | SA8295P | TFLITE | 31.644 ms | 2 - 39 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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- | FFNet-40S | SA8295P ADP | SA8295P | QNN | 30.73 ms | 24 - 30 MB | FP16 | NPU | Use Export Script |
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- | FFNet-40S | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 27.756 ms | 2 - 94 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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- | FFNet-40S | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 28.687 ms | 22 - 53 MB | FP16 | NPU | Use Export Script |
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- | FFNet-40S | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 16.414 ms | 24 - 24 MB | FP16 | NPU | Use Export Script |
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- | FFNet-40S | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 30.117 ms | 24 - 24 MB | FP16 | NPU | [FFNet-40S.onnx](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.onnx) |
 
 
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@@ -123,8 +125,8 @@ Profiling Results
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  FFNet-40S
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 16.9
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- Estimated peak memory usage (MB): [2, 5]
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  Total # Ops : 92
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  Compute Unit(s) : NPU (92 ops)
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  ```
@@ -145,13 +147,29 @@ in memory using the `jit.trace` and then call the `submit_compile_job` API.
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  import torch
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  import qai_hub as hub
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- from qai_hub_models.models.ffnet_40s import
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  # Load the model
 
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  # Device
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  device = hub.Device("Samsung Galaxy S23")
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  ```
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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-40S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 17.197 ms | 2 - 25 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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+ | FFNet-40S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 17.457 ms | 24 - 46 MB | FP16 | NPU | [FFNet-40S.so](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.so) |
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+ | FFNet-40S | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 24.917 ms | 24 - 54 MB | FP16 | NPU | [FFNet-40S.onnx](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.onnx) |
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+ | FFNet-40S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 12.42 ms | 2 - 37 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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+ | FFNet-40S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 12.56 ms | 23 - 59 MB | FP16 | NPU | [FFNet-40S.so](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.so) |
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+ | FFNet-40S | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 18.387 ms | 31 - 159 MB | FP16 | NPU | [FFNet-40S.onnx](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.onnx) |
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+ | FFNet-40S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 11.867 ms | 2 - 35 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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+ | FFNet-40S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 12.103 ms | 24 - 56 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-40S | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 17.58 ms | 16 - 69 MB | FP16 | NPU | [FFNet-40S.onnx](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.onnx) |
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+ | FFNet-40S | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 17.226 ms | 2 - 26 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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+ | FFNet-40S | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 16.404 ms | 24 - 26 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-40S | SA7255P ADP | SA7255P | TFLITE | 761.739 ms | 0 - 31 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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+ | FFNet-40S | SA7255P ADP | SA7255P | QNN | 760.489 ms | 24 - 30 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-40S | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 17.358 ms | 2 - 27 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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+ | FFNet-40S | SA8255 (Proxy) | SA8255P Proxy | QNN | 16.483 ms | 24 - 25 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-40S | SA8295P ADP | SA8295P | TFLITE | 31.672 ms | 2 - 31 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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+ | FFNet-40S | SA8295P ADP | SA8295P | QNN | 30.812 ms | 24 - 30 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-40S | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 17.0 ms | 3 - 29 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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+ | FFNet-40S | SA8650 (Proxy) | SA8650P Proxy | QNN | 16.976 ms | 24 - 25 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-40S | SA8775P ADP | SA8775P | TFLITE | 35.171 ms | 2 - 34 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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+ | FFNet-40S | SA8775P ADP | SA8775P | QNN | 34.558 ms | 24 - 30 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-40S | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 29.619 ms | 2 - 33 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite) |
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+ | FFNet-40S | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 28.633 ms | 15 - 48 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-40S | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 16.405 ms | 24 - 24 MB | FP16 | NPU | Use Export Script |
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+ | FFNet-40S | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 30.666 ms | 24 - 24 MB | FP16 | NPU | [FFNet-40S.onnx](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.onnx) |
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  FFNet-40S
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 17.2
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+ Estimated peak memory usage (MB): [2, 25]
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  Total # Ops : 92
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  Compute Unit(s) : NPU (92 ops)
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  ```
 
147
  import torch
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  import qai_hub as hub
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+ from qai_hub_models.models.ffnet_40s import Model
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152
  # Load the 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()
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+ sample_inputs = torch_model.sample_inputs()
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+
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+ pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])
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+
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+ # Compile model on a specific device
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+ compile_job = hub.submit_compile_job(
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+ model=pt_model,
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+ device=device,
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+ input_specs=torch_model.get_input_spec(),
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+ )
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+
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+ # Get target model to run on-device
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+ target_model = compile_job.get_target_model()
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  ```
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