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qualcomm
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EfficientViT-l2-seg

Image Segmentation
PyTorch
real_time
android
Model card Files Community
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v0.31.0

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See https://github.com/quic/ai-hub-models/releases/v0.31.0 for changelog.

Files changed (1) hide show
  1. README.md +6 -6
README.md CHANGED
@@ -36,10 +36,10 @@ More details on model performance across various devices, can be found
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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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  |---|---|---|---|---|---|---|---|---|
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- | EfficientViT-l2-seg | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 1916.068 ms | 26 - 324 MB | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
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- | EfficientViT-l2-seg | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 2084.291 ms | 128 - 1009 MB | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
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- | EfficientViT-l2-seg | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 1203.099 ms | 107 - 1061 MB | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
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- | EfficientViT-l2-seg | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2376.256 ms | 144 - 144 MB | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
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@@ -103,8 +103,8 @@ Profiling Results
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  EfficientViT-l2-seg
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  Device : cs_8_gen_2 (ANDROID 13)
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  Runtime : ONNX
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- Estimated inference time (ms) : 1916.1
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- Estimated peak memory usage (MB): [26, 324]
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  Total # Ops : 464
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  Compute Unit(s) : npu (462 ops) gpu (0 ops) cpu (2 ops)
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  ```
 
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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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  |---|---|---|---|---|---|---|---|---|
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+ | EfficientViT-l2-seg | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 1900.82 ms | 6 - 304 MB | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
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+ | EfficientViT-l2-seg | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 1729.898 ms | 126 - 1004 MB | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
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+ | EfficientViT-l2-seg | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 1230.575 ms | 103 - 1058 MB | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
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+ | EfficientViT-l2-seg | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2416.342 ms | 144 - 144 MB | NPU | [EfficientViT-l2-seg.onnx](https://huggingface.co/qualcomm/EfficientViT-l2-seg/blob/main/EfficientViT-l2-seg.onnx) |
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  EfficientViT-l2-seg
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  Device : cs_8_gen_2 (ANDROID 13)
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  Runtime : ONNX
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+ Estimated inference time (ms) : 1900.8
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+ Estimated peak memory usage (MB): [6, 304]
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  Total # Ops : 464
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  Compute Unit(s) : npu (462 ops) gpu (0 ops) cpu (2 ops)
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  ```