Whisper-Small: Optimized for Qualcomm Devices
HuggingFace Whisper-Small ASR (Automatic Speech Recognition) model is a state-of-the-art system designed for transcribing spoken language into written text. This model is based on the transformer architecture and has been optimized for edge inference by replacing Multi-Head Attention (MHA) with Single-Head Attention (SHA) and linear layers with convolutional (conv) layers. It exhibits robust performance in realistic, noisy environments, making it highly reliable for real-world applications. Specifically, it excels in long-form transcription, capable of accurately transcribing audio clips up to 30 seconds long. Time to the first token is the encoder's latency, while time to each additional token is decoder's latency, where we assume a max decoded length specified below.
This is based on the implementation of Whisper-Small found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| QNN_CONTEXT_BINARY | float | qualcomm_qcs8450_proxy | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm_qcs8550_proxy | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm_qcs9075 | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm_sa7255p | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm_sa8295p | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm_sa8775p | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm_snapdragon_8_elite_for_galaxy | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm_snapdragon_8_elite_gen5 | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm_snapdragon_8gen3 | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm_snapdragon_x2_elite | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | qualcomm_snapdragon_x_elite | QAIRT 2.43 | Download |
For more device-specific assets and performance metrics, visit Whisper-Small on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models 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 Whisper-Small on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.speech_recognition
Model Stats:
- Model checkpoint: openai/whisper-small
- Input resolution: 80x3000 (30 seconds audio)
- Max decoded sequence length: 200 tokens
- Number of parameters (encoder): 102M
- Model size (encoder) (float): 391 MB
- Number of parameters (decoder): 139M
- Model size (decoder) (float): 533 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.222 ms | 75 - 84 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 6.095 ms | 286 - 286 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 10.441 ms | 285 - 285 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.84 ms | 73 - 85 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | 12.133 ms | 61 - 64 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | 13.335 ms | 60 - 122 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 8.401 ms | 58 - 68 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.266 ms | 60 - 70 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 6.525 ms | 60 - 60 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 9.745 ms | 60 - 60 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 9.819 ms | 37 - 45 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 (Proxy) | 19.804 ms | 31 - 40 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | 12.176 ms | 55 - 65 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | 13.725 ms | 60 - 69 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | 13.427 ms | 60 - 128 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8450 (Proxy) | 17.396 ms | 39 - 49 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | 19.804 ms | 31 - 40 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | 15.117 ms | 46 - 51 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 8.3 ms | 8 - 22 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 46.51 ms | 89 - 99 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 47.572 ms | 202 - 202 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 115.428 ms | 201 - 201 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 82.255 ms | 129 - 138 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | 112.855 ms | 0 - 225 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | 137.101 ms | 126 - 130 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 59.055 ms | 127 - 139 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 45.088 ms | 1 - 11 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 47.766 ms | 0 - 0 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 114.908 ms | 0 - 0 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 85.441 ms | 1 - 8 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 (Proxy) | 405.533 ms | 0 - 8 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | 112.557 ms | 0 - 3 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | 136.563 ms | 0 - 9 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | 136.464 ms | 0 - 55 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8450 (Proxy) | 281.823 ms | 1 - 10 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | 405.533 ms | 0 - 8 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | 205.937 ms | 1 - 6 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 60.399 ms | 1 - 14 MB | NPU |
License
- The license for the original implementation of Whisper-Small can be found here.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
