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README.md

@@ -15,7 +15,7 @@ tags:
 
 HuggingFaceWavLMBasePlus is a real time speech processing backbone based on Microsoft's WavLM model.
 
-This model is an implementation of HuggingFace-WavLM-Base-Plus found [here](https://huggingface.co/patrickvonplaten/wavlm-libri-clean-100h-base-plus/tree/main).
+This model is an implementation of HuggingFace-WavLM-Base-Plus found [here]({source_repo}).
 This repository provides scripts to run HuggingFace-WavLM-Base-Plus on Qualcomm® devices.
 More details on model performance across various devices, can be found
 [here](https://aihub.qualcomm.com/models/huggingface_wavlm_base_plus).
@@ -30,14 +30,19 @@ More details on model performance across various devices, can be found
   - Number of parameters: 95.1M
   - Model size: 363 MB
 
+| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
+|---|---|---|---|---|---|---|---|---|
+| HuggingFace-WavLM-Base-Plus | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 817.718 ms | 63 - 65 MB | FP32 | CPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
+| HuggingFace-WavLM-Base-Plus | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 631.561 ms | 63 - 84 MB | FP32 | CPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
+| HuggingFace-WavLM-Base-Plus | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 849.395 ms | 58 - 602 MB | FP32 | CPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
+| HuggingFace-WavLM-Base-Plus | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 850.762 ms | 63 - 65 MB | FP32 | CPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
+| HuggingFace-WavLM-Base-Plus | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 846.763 ms | 63 - 65 MB | FP32 | CPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
+| HuggingFace-WavLM-Base-Plus | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 889.799 ms | 63 - 66 MB | FP32 | CPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
+| HuggingFace-WavLM-Base-Plus | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1305.119 ms | 63 - 89 MB | FP32 | CPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
+| HuggingFace-WavLM-Base-Plus | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 568.662 ms | 63 - 78 MB | FP32 | CPU | [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) |
 
 
 
-| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
-| ---|---|---|---|---|---|---|---|
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 957.88 ms | 63 - 66 MB | FP32 | CPU |  [HuggingFace-WavLM-Base-Plus.tflite](https://huggingface.co/qualcomm/HuggingFace-WavLM-Base-Plus/blob/main/HuggingFace-WavLM-Base-Plus.tflite) 
-
-
 
 ## Installation
 
@@ -93,16 +98,16 @@ device. This script does the following:
 ```bash
 python -m qai_hub_models.models.huggingface_wavlm_base_plus.export
 ```
-
 ```
-Profile Job summary of HuggingFace-WavLM-Base-Plus
---------------------------------------------------
-Device: SA8255 (Proxy) (13)
-Estimated Inference Time: 897.01 ms
-Estimated Peak Memory Range: 62.55-99.95 MB
-Compute Units: CPU (871) | Total (871)
-
-
+Profiling Results
+------------------------------------------------------------
+HuggingFace-WavLM-Base-Plus
+Device                          : Samsung Galaxy S23 (13)
+Runtime                         : TFLITE                 
+Estimated inference time (ms)   : 817.7                  
+Estimated peak memory usage (MB): [63, 65]               
+Total # Ops                     : 871                    
+Compute Unit(s)                 : CPU (871 ops)          
 ```
 
 
@@ -187,15 +192,19 @@ provides instructions on how to use the `.so` shared library  in an Android appl
 Get more details on HuggingFace-WavLM-Base-Plus's performance across various devices [here](https://aihub.qualcomm.com/models/huggingface_wavlm_base_plus).
 Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
 
+
 ## License
-- The license for the original implementation of HuggingFace-WavLM-Base-Plus can be found
-  [here](https://github.com/microsoft/unilm/blob/master/LICENSE).
-- 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)
+* The license for the original implementation of HuggingFace-WavLM-Base-Plus can be found [here](https://github.com/microsoft/unilm/blob/master/LICENSE).
+* 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)
+
+
 
 ## References
 * [WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing](https://arxiv.org/abs/2110.13900)
 * [Source Model Implementation](https://huggingface.co/patrickvonplaten/wavlm-libri-clean-100h-base-plus/tree/main)
 
+
+
 ## Community
 * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).