Whisper-Small-Quantized: Optimized for Qualcomm Devices
We have applied w8a16 quantization to significantly enhance performance and efficiency. 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-Quantized 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 | w8a16 | qualcomm_qcm6690 | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | qualcomm_qcs8550_proxy | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | qualcomm_qcs9075 | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | qualcomm_sa7255p | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | qualcomm_sa8775p | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | qualcomm_snapdragon_7gen4 | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | qualcomm_snapdragon_8_elite_for_galaxy | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | qualcomm_snapdragon_8_elite_gen5 | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | qualcomm_snapdragon_8gen3 | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | qualcomm_snapdragon_x2_elite | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | qualcomm_snapdragon_x_elite | QAIRT 2.43 | Download |
For more device-specific assets and performance metrics, visit Whisper-Small-Quantized 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-Quantized 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
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| decoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.979 ms | 38 - 48 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 3.812 ms | 185 - 185 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 7.967 ms | 185 - 185 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.354 ms | 40 - 48 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 8.319 ms | 29 - 32 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 9.06 ms | 24 - 57 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 37.459 ms | 29 - 39 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 4.757 ms | 25 - 33 MB | NPU |
| decoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 10.823 ms | 30 - 36 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.963 ms | 30 - 40 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | 4.191 ms | 30 - 30 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 7.57 ms | 30 - 30 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 6.254 ms | 30 - 39 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 13.457 ms | 13 - 20 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 8.158 ms | 30 - 32 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 9.257 ms | 29 - 38 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 8.92 ms | 25 - 60 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 36.842 ms | 30 - 37 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 13.457 ms | 13 - 20 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 4.751 ms | 22 - 35 MB | NPU |
| decoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 10.848 ms | 30 - 37 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 175.256 ms | 63 - 73 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 154.028 ms | 127 - 127 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 264.69 ms | 127 - 127 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 244.062 ms | 63 - 75 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 350.116 ms | 55 - 58 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 255.908 ms | 63 - 66 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCM6690 | 4170.586 ms | 2 - 13 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 200.797 ms | 63 - 75 MB | NPU |
| encoder | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 457.805 ms | 56 - 66 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 175.95 ms | 1 - 11 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X2 Elite | 153.643 ms | 0 - 0 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® X Elite | 296.075 ms | 0 - 0 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 269.335 ms | 1 - 8 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8275 (Proxy) | 518.268 ms | 1 - 9 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 368.292 ms | 1 - 2 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 312.155 ms | 1 - 10 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 293.695 ms | 0 - 29 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCM6690 | 4234.28 ms | 0 - 7 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA7255P | 518.268 ms | 1 - 9 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 221.77 ms | 1 - 14 MB | NPU |
| encoder | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 7 Gen 4 Mobile | 468.035 ms | 1 - 7 MB | NPU |
License
- The license for the original implementation of Whisper-Small-Quantized 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.
