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README.md
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@@ -38,48 +38,48 @@ 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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@@ -140,23 +140,23 @@ python -m qai_hub_models.models.whisper_tiny_en.export
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```
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```
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Profiling Results
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WhisperEncoder
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 102.5
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Estimated peak memory usage (MB): [15, 102]
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Total # Ops : 271
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Compute Unit(s) : GPU (260 ops) CPU (11 ops)
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------------------------------------------------------------
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WhisperDecoder
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 4.0
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Estimated peak memory usage (MB): [3,
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Total # Ops : 557
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Compute Unit(s) : NPU (557 ops)
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```
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@@ -179,42 +179,42 @@ from qai_hub_models.models.whisper_tiny_en import Model
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# Load the model
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model = Model.from_pretrained()
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encoder_model = model.encoder
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decoder_model = model.decoder
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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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# Compile model on a specific device
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model=
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device=device,
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input_specs=
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)
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# Get target model to run on-device
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# Trace model
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# Compile model on a specific device
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model=
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device=device,
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input_specs=
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)
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# Get target model to run on-device
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-
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```
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provisioned in the cloud. Once the job is submitted, you can navigate to a
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provided job URL to view a variety of on-device performance metrics.
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```python
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encoder_profile_job = hub.submit_profile_job(
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model=encoder_target_model,
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device=device,
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)
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decoder_profile_job = hub.submit_profile_job(
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model=decoder_target_model,
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device=device,
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)
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```
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@@ -242,13 +242,6 @@ Step 3: **Verify on-device accuracy**
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To verify the accuracy of the model on-device, you can run on-device inference
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on sample input data on the same cloud hosted device.
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```python
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encoder_input_data = encoder_model.sample_inputs()
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encoder_inference_job = hub.submit_inference_job(
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model=encoder_target_model,
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device=device,
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inputs=encoder_input_data,
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)
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encoder_inference_job.download_output_data()
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decoder_input_data = decoder_model.sample_inputs()
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decoder_inference_job = hub.submit_inference_job(
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model=decoder_target_model,
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inputs=decoder_input_data,
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)
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decoder_inference_job.download_output_data()
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```
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With the output of the model, you can compute like PSNR, relative errors or
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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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| WhisperDecoder | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 4.05 ms | 3 - 40 MB | FP16 | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) |
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| WhisperDecoder | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 2.401 ms | 0 - 121 MB | FP16 | NPU | [Whisper-Tiny-En.so](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.so) |
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| WhisperDecoder | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 3.05 ms | 0 - 62 MB | FP16 | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) |
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| WhisperDecoder | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 1.71 ms | 4 - 49 MB | FP16 | NPU | [Whisper-Tiny-En.so](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.so) |
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| WhisperDecoder | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 2.62 ms | 0 - 56 MB | FP16 | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) |
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| WhisperDecoder | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 1.546 ms | 0 - 42 MB | FP16 | NPU | Use Export Script |
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| WhisperDecoder | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 4.107 ms | 3 - 41 MB | FP16 | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) |
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| WhisperDecoder | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 2.368 ms | 10 - 12 MB | FP16 | NPU | Use Export Script |
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| WhisperDecoder | SA7255P ADP | SA7255P | TFLITE | 18.307 ms | 2 - 57 MB | FP16 | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) |
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| WhisperDecoder | SA7255P ADP | SA7255P | QNN | 15.533 ms | 9 - 19 MB | FP16 | NPU | Use Export Script |
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| WhisperDecoder | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 4.007 ms | 3 - 40 MB | FP16 | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) |
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| WhisperDecoder | SA8255 (Proxy) | SA8255P Proxy | QNN | 2.339 ms | 3 - 4 MB | FP16 | NPU | Use Export Script |
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| WhisperDecoder | SA8295P ADP | SA8295P | TFLITE | 5.188 ms | 3 - 55 MB | FP16 | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) |
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| WhisperDecoder | SA8295P ADP | SA8295P | QNN | 3.586 ms | 1 - 7 MB | FP16 | NPU | Use Export Script |
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| WhisperDecoder | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 4.064 ms | 3 - 41 MB | FP16 | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) |
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| WhisperDecoder | SA8650 (Proxy) | SA8650P Proxy | QNN | 2.422 ms | 10 - 11 MB | FP16 | NPU | Use Export Script |
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| WhisperDecoder | SA8775P ADP | SA8775P | TFLITE | 5.443 ms | 0 - 55 MB | FP16 | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) |
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| WhisperDecoder | SA8775P ADP | SA8775P | QNN | 3.465 ms | 9 - 15 MB | FP16 | NPU | Use Export Script |
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| WhisperDecoder | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 4.664 ms | 3 - 62 MB | FP16 | NPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperDecoder.tflite) |
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| WhisperDecoder | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 2.892 ms | 4 - 50 MB | FP16 | NPU | Use Export Script |
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| WhisperDecoder | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.285 ms | 10 - 10 MB | FP16 | NPU | Use Export Script |
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| WhisperEncoder | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 99.892 ms | 20 - 51 MB | FP16 | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) |
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| WhisperEncoder | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 139.106 ms | 0 - 55 MB | FP16 | NPU | [Whisper-Tiny-En.so](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.so) |
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| WhisperEncoder | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 81.683 ms | 17 - 47 MB | FP16 | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) |
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| WhisperEncoder | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 109.268 ms | 0 - 191 MB | FP16 | NPU | [Whisper-Tiny-En.so](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.so) |
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| WhisperEncoder | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 74.784 ms | 25 - 44 MB | FP16 | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) |
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| WhisperEncoder | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 98.55 ms | 0 - 195 MB | FP16 | NPU | Use Export Script |
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| WhisperEncoder | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 96.819 ms | 13 - 55 MB | FP16 | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) |
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| WhisperEncoder | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 104.143 ms | 0 - 5 MB | FP16 | NPU | Use Export Script |
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| WhisperEncoder | SA7255P ADP | SA7255P | TFLITE | 507.645 ms | 20 - 45 MB | FP16 | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) |
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| WhisperEncoder | SA7255P ADP | SA7255P | QNN | 464.481 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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| WhisperEncoder | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 100.562 ms | 18 - 147 MB | FP16 | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) |
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| WhisperEncoder | SA8255 (Proxy) | SA8255P Proxy | QNN | 106.657 ms | 0 - 5 MB | FP16 | NPU | Use Export Script |
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| WhisperEncoder | SA8295P ADP | SA8295P | TFLITE | 103.764 ms | 21 - 42 MB | FP16 | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) |
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| WhisperEncoder | SA8295P ADP | SA8295P | QNN | 127.685 ms | 4 - 10 MB | FP16 | NPU | Use Export Script |
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| WhisperEncoder | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 109.307 ms | 20 - 60 MB | FP16 | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) |
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| WhisperEncoder | SA8650 (Proxy) | SA8650P Proxy | QNN | 107.644 ms | 0 - 5 MB | FP16 | NPU | Use Export Script |
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| WhisperEncoder | SA8775P ADP | SA8775P | TFLITE | 177.953 ms | 20 - 47 MB | FP16 | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) |
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| WhisperEncoder | SA8775P ADP | SA8775P | QNN | 119.437 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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| WhisperEncoder | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 185.481 ms | 11 - 48 MB | FP16 | GPU | [Whisper-Tiny-En.tflite](https://huggingface.co/qualcomm/Whisper-Tiny-En/blob/main/WhisperEncoder.tflite) |
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| WhisperEncoder | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 165.323 ms | 0 - 196 MB | FP16 | NPU | Use Export Script |
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| WhisperEncoder | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 97.277 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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```
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```
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Profiling Results
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------------------------------------------------------------
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WhisperDecoder
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 4.0
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Estimated peak memory usage (MB): [3, 40]
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Total # Ops : 557
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Compute Unit(s) : NPU (557 ops)
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------------------------------------------------------------
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WhisperEncoder
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 99.9
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Estimated peak memory usage (MB): [20, 51]
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Total # Ops : 271
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Compute Unit(s) : GPU (260 ops) CPU (11 ops)
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```
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# Load the model
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model = Model.from_pretrained()
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decoder_model = model.decoder
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encoder_model = model.encoder
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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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decoder_input_shape = decoder_model.get_input_spec()
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decoder_sample_inputs = decoder_model.sample_inputs()
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traced_decoder_model = torch.jit.trace(decoder_model, [torch.tensor(data[0]) for _, data in decoder_sample_inputs.items()])
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# Compile model on a specific device
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decoder_compile_job = hub.submit_compile_job(
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model=traced_decoder_model ,
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device=device,
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input_specs=decoder_model.get_input_spec(),
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)
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# Get target model to run on-device
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decoder_target_model = decoder_compile_job.get_target_model()
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# Trace model
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encoder_input_shape = encoder_model.get_input_spec()
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encoder_sample_inputs = encoder_model.sample_inputs()
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traced_encoder_model = torch.jit.trace(encoder_model, [torch.tensor(data[0]) for _, data in encoder_sample_inputs.items()])
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# Compile model on a specific device
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encoder_compile_job = hub.submit_compile_job(
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model=traced_encoder_model ,
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device=device,
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input_specs=encoder_model.get_input_spec(),
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)
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# Get target model to run on-device
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encoder_target_model = encoder_compile_job.get_target_model()
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```
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provisioned in the cloud. Once the job is submitted, you can navigate to a
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provided job URL to view a variety of on-device performance metrics.
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```python
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decoder_profile_job = hub.submit_profile_job(
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model=decoder_target_model,
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device=device,
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)
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encoder_profile_job = hub.submit_profile_job(
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model=encoder_target_model,
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device=device,
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)
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```
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To verify the accuracy of the model on-device, you can run on-device inference
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on sample input data on the same cloud hosted device.
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```python
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decoder_input_data = decoder_model.sample_inputs()
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decoder_inference_job = hub.submit_inference_job(
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model=decoder_target_model,
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inputs=decoder_input_data,
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)
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decoder_inference_job.download_output_data()
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encoder_input_data = encoder_model.sample_inputs()
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encoder_inference_job = hub.submit_inference_job(
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model=encoder_target_model,
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device=device,
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inputs=encoder_input_data,
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)
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encoder_inference_job.download_output_data()
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```
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With the output of the model, you can compute like PSNR, relative errors or
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