qualcomm
/

ACT

@@ -14,7 +14,7 @@ pipeline_tag: robotics
 ACT (Action Chunking with Transformers) is a robotic policy model that is trained to predict the next chunk of actions that the robotic hand is expected to perform.
 This is based on the implementation of ACT found [here](https://github.com/tonyzhaozh/act).
-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/act) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
 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.
@@ -27,23 +27,23 @@ Below are pre-exported model assets ready for deployment.
 | Runtime | Precision | Chipset | SDK Versions | Download |
 |---|---|---|---|---|
-| 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/act/releases/v0.47.0/act-onnx-float.zip)
-| QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/act/releases/v0.47.0/act-qnn_dlc-float.zip)
-| 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/act/releases/v0.47.0/act-tflite-float.zip)
 For more device-specific assets and performance metrics, visit **[ACT on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/act)**.
 ### Option 2: Export with Custom Configurations
-Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/act) Python library to compile and export the model with your own:
 - Custom weights (e.g., fine-tuned checkpoints)
 - Custom input shapes
 - Target device and runtime configurations
 This option is ideal if you need to customize the model beyond the default configuration provided here.
-See our repository for [ACT on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/act) for usage instructions.
 ## Model Details
@@ -58,35 +58,35 @@ See our repository for [ACT on GitHub](https://github.com/quic/ai-hub-models/blo
 ## Performance Summary
 | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
 |---|---|---|---|---|---|---
-| ACT | ONNX | float | Snapdragon® X Elite | 11.898 ms | 62 - 62 MB | NPU
-| ACT | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 8.113 ms | 1 - 376 MB | NPU
-| ACT | ONNX | float | Qualcomm® QCS8550 (Proxy) | 11.237 ms | 0 - 81 MB | NPU
-| ACT | ONNX | float | Qualcomm® QCS9075 | 19.025 ms | 4 - 10 MB | NPU
-| ACT | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 6.563 ms | 1 - 329 MB | NPU
-| ACT | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.513 ms | 4 - 333 MB | NPU
-| ACT | ONNX | float | Snapdragon® X2 Elite | 6.147 ms | 63 - 63 MB | NPU
-| ACT | QNN_DLC | float | Snapdragon® X Elite | 8.903 ms | 4 - 4 MB | NPU
-| ACT | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.95 ms | 3 - 348 MB | NPU
-| ACT | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 43.949 ms | 0 - 308 MB | NPU
-| ACT | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 8.29 ms | 4 - 6 MB | NPU
-| ACT | QNN_DLC | float | Qualcomm® SA8775P | 13.34 ms | 1 - 294 MB | NPU
-| ACT | QNN_DLC | float | Qualcomm® QCS9075 | 16.057 ms | 4 - 9 MB | NPU
-| ACT | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 16.303 ms | 4 - 264 MB | NPU
-| ACT | QNN_DLC | float | Qualcomm® SA7255P | 43.949 ms | 0 - 308 MB | NPU
-| ACT | QNN_DLC | float | Qualcomm® SA8295P | 15.529 ms | 0 - 231 MB | NPU
-| ACT | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.798 ms | 0 - 295 MB | NPU
-| ACT | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.741 ms | 4 - 321 MB | NPU
-| ACT | QNN_DLC | float | Snapdragon® X2 Elite | 4.863 ms | 4 - 4 MB | NPU
-| ACT | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.977 ms | 0 - 362 MB | NPU
-| ACT | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 44.141 ms | 0 - 319 MB | NPU
-| ACT | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 8.231 ms | 0 - 3 MB | NPU
-| ACT | TFLITE | float | Qualcomm® SA8775P | 13.453 ms | 0 - 304 MB | NPU
-| ACT | TFLITE | float | Qualcomm® QCS9075 | 16.21 ms | 0 - 71 MB | NPU
-| ACT | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 16.408 ms | 0 - 274 MB | NPU
-| ACT | TFLITE | float | Qualcomm® SA7255P | 44.141 ms | 0 - 319 MB | NPU
-| ACT | TFLITE | float | Qualcomm® SA8295P | 15.698 ms | 0 - 235 MB | NPU
-| ACT | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.838 ms | 0 - 307 MB | NPU
-| ACT | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.8 ms | 0 - 327 MB | NPU
 ## License
 * The license for the original implementation of ACT can be found

 ACT (Action Chunking with Transformers) is a robotic policy model that is trained to predict the next chunk of actions that the robotic hand is expected to perform.
 This is based on the implementation of ACT found [here](https://github.com/tonyzhaozh/act).
+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/act) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
 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.
 | Runtime | Precision | Chipset | SDK Versions | Download |
 |---|---|---|---|---|
+| 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/act/releases/v0.48.0/act-onnx-float.zip)
+| QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/act/releases/v0.48.0/act-qnn_dlc-float.zip)
+| 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/act/releases/v0.48.0/act-tflite-float.zip)
 For more device-specific assets and performance metrics, visit **[ACT on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/act)**.
 ### Option 2: Export with Custom Configurations
+Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/act) Python library to compile and export the model with your own:
 - Custom weights (e.g., fine-tuned checkpoints)
 - Custom input shapes
 - Target device and runtime configurations
 This option is ideal if you need to customize the model beyond the default configuration provided here.
+See our repository for [ACT on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/act) for usage instructions.
 ## Model Details
 ## Performance Summary
 | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
 |---|---|---|---|---|---|---
+| ACT | ONNX | float | Snapdragon® X2 Elite | 6.165 ms | 63 - 63 MB | NPU
+| ACT | ONNX | float | Snapdragon® X Elite | 11.872 ms | 62 - 62 MB | NPU
+| ACT | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 8.103 ms | 3 - 385 MB | NPU
+| ACT | ONNX | float | Qualcomm® QCS8550 (Proxy) | 11.214 ms | 0 - 81 MB | NPU
+| ACT | ONNX | float | Qualcomm® QCS9075 | 18.835 ms | 4 - 10 MB | NPU
+| ACT | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 6.573 ms | 3 - 331 MB | NPU
+| ACT | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.496 ms | 4 - 334 MB | NPU
+| ACT | QNN_DLC | float | Snapdragon® X2 Elite | 4.932 ms | 4 - 4 MB | NPU
+| ACT | QNN_DLC | float | Snapdragon® X Elite | 8.926 ms | 4 - 4 MB | NPU
+| ACT | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.974 ms | 1 - 344 MB | NPU
+| ACT | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 43.942 ms | 1 - 308 MB | NPU
+| ACT | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 8.288 ms | 4 - 7 MB | NPU
+| ACT | QNN_DLC | float | Qualcomm® SA8775P | 13.325 ms | 1 - 294 MB | NPU
+| ACT | QNN_DLC | float | Qualcomm® QCS9075 | 15.977 ms | 4 - 9 MB | NPU
+| ACT | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 16.41 ms | 2 - 263 MB | NPU
+| ACT | QNN_DLC | float | Qualcomm® SA7255P | 43.942 ms | 1 - 308 MB | NPU
+| ACT | QNN_DLC | float | Qualcomm® SA8295P | 15.517 ms | 0 - 230 MB | NPU
+| ACT | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.768 ms | 4 - 299 MB | NPU
+| ACT | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.739 ms | 4 - 321 MB | NPU
+| ACT | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.981 ms | 0 - 361 MB | NPU
+| ACT | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 44.134 ms | 0 - 318 MB | NPU
+| ACT | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 8.318 ms | 0 - 3 MB | NPU
+| ACT | TFLITE | float | Qualcomm® SA8775P | 13.44 ms | 0 - 304 MB | NPU
+| ACT | TFLITE | float | Qualcomm® QCS9075 | 16.034 ms | 0 - 71 MB | NPU
+| ACT | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 16.392 ms | 0 - 276 MB | NPU
+| ACT | TFLITE | float | Qualcomm® SA7255P | 44.134 ms | 0 - 318 MB | NPU
+| ACT | TFLITE | float | Qualcomm® SA8295P | 15.711 ms | 0 - 233 MB | NPU
+| ACT | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.816 ms | 0 - 310 MB | NPU
+| ACT | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.799 ms | 0 - 327 MB | NPU
 ## License
 * The license for the original implementation of ACT can be found