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README.md
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---
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library_name: pytorch
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license:
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tags:
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- backbone
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- real_time
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### Model Details
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- **Model Type:**
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- **Model Stats:**
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- Model checkpoint: Imagenet
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- Input resolution: 224x224
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- Number of parameters: 64M
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- Model size: 243 MB
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| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls |
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| EfficientViT-l2-cls | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN |
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| EfficientViT-l2-cls | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX |
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Profiling Results
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------------------------------------------------------------
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EfficientViT-l2-cls
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Device :
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Runtime : TFLITE
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Estimated inference time (ms) :
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Estimated peak memory usage (MB): [0,
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Total # Ops :
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Compute Unit(s) :
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```
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---
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library_name: pytorch
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license: other
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tags:
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- backbone
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- real_time
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### Model Details
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- **Model Type:** Model_use_case.image_classification
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- **Model Stats:**
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- Model checkpoint: Imagenet
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- Input resolution: 224x224
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- Number of parameters: 64M
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- Model size (float): 243 MB
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| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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| EfficientViT-l2-cls | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 23.761 ms | 0 - 192 MB | 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 | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 23.921 ms | 0 - 10 MB | NPU | Use Export Script |
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| EfficientViT-l2-cls | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 13.936 ms | 0 - 205 MB | 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 | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 14.834 ms | 0 - 88 MB | NPU | Use Export Script |
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| EfficientViT-l2-cls | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 7.087 ms | 0 - 115 MB | 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 | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 7.258 ms | 1 - 2 MB | NPU | Use Export Script |
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| EfficientViT-l2-cls | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 9.087 ms | 0 - 192 MB | 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 | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 9.203 ms | 1 - 10 MB | NPU | Use Export Script |
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| EfficientViT-l2-cls | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 7.141 ms | 0 - 167 MB | 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 | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 7.293 ms | 0 - 22 MB | NPU | Use Export Script |
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| EfficientViT-l2-cls | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 29.422 ms | 0 - 255 MB | 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 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 5.11 ms | 0 - 219 MB | 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 | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 5.328 ms | 1 - 103 MB | NPU | Use Export Script |
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| EfficientViT-l2-cls | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 20.345 ms | 1 - 156 MB | 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 | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 4.75 ms | 0 - 195 MB | 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 | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 4.023 ms | 1 - 83 MB | NPU | Use Export Script |
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| EfficientViT-l2-cls | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 18.154 ms | 1 - 125 MB | 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 | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 7.749 ms | 1 - 1 MB | NPU | Use Export Script |
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| EfficientViT-l2-cls | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 30.974 ms | 130 - 130 MB | NPU | [EfficientViT-l2-cls.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-cls/blob/main/EfficientViT-l2-cls.onnx) |
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Profiling Results
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------------------------------------------------------------
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EfficientViT-l2-cls
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Device : cs_8275 (ANDROID 14)
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Runtime : TFLITE
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Estimated inference time (ms) : 23.8
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Estimated peak memory usage (MB): [0, 192]
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Total # Ops : 349
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Compute Unit(s) : npu (349 ops) gpu (0 ops) cpu (0 ops)
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```
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