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README.md
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@@ -36,6 +36,21 @@ 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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@@ -95,7 +110,16 @@ device. This script does the following:
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python -m qai_hub_models.models.efficientvit_l2_cls.export
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```
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```
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Profiling Results
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## How does this work?
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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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| EfficientViT-l2-cls | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 22.208 ms | 0 - 3 MB | FP16 | NPU | [EfficientViT-l2-cls.tflite](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.tflite) |
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| EfficientViT-l2-cls | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 23.116 ms | 0 - 33 MB | FP16 | NPU | [EfficientViT-l2-cls.so](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.so) |
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| EfficientViT-l2-cls | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 16.724 ms | 0 - 162 MB | FP16 | NPU | [EfficientViT-l2-cls.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.onnx) |
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| EfficientViT-l2-cls | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 15.834 ms | 0 - 344 MB | FP16 | NPU | [EfficientViT-l2-cls.tflite](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.tflite) |
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| EfficientViT-l2-cls | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 16.607 ms | 1 - 86 MB | FP16 | NPU | [EfficientViT-l2-cls.so](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.so) |
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| EfficientViT-l2-cls | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 11.551 ms | 1 - 445 MB | FP16 | NPU | [EfficientViT-l2-cls.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.onnx) |
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| EfficientViT-l2-cls | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 17.024 ms | 0 - 126 MB | FP16 | NPU | [EfficientViT-l2-cls.tflite](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.tflite) |
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| EfficientViT-l2-cls | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 17.806 ms | 1 - 91 MB | FP16 | NPU | Use Export Script |
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| EfficientViT-l2-cls | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 10.538 ms | 1 - 168 MB | FP16 | NPU | [EfficientViT-l2-cls.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.onnx) |
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| EfficientViT-l2-cls | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 22.017 ms | 0 - 2 MB | FP16 | NPU | [EfficientViT-l2-cls.tflite](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.tflite) |
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| EfficientViT-l2-cls | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 16.745 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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| EfficientViT-l2-cls | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 20.009 ms | 0 - 289 MB | FP16 | NPU | [EfficientViT-l2-cls.tflite](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.tflite) |
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| EfficientViT-l2-cls | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 21.486 ms | 1 - 63 MB | FP16 | NPU | Use Export Script |
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| EfficientViT-l2-cls | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 17.693 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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| EfficientViT-l2-cls | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 18.851 ms | 131 - 131 MB | FP16 | NPU | [EfficientViT-l2-cls.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.onnx) |
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python -m qai_hub_models.models.efficientvit_l2_cls.export
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```
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```
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Profiling Results
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------------------------------------------------------------
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EfficientViT-l2-cls
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 22.2
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Estimated peak memory usage (MB): [0, 3]
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Total # Ops : 675
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Compute Unit(s) : NPU (675 ops)
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```
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## How does this work?
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