v0.32.0
Browse filesSee https://github.com/quic/ai-hub-models/releases/v0.32.0 for changelog.
- .gitattributes +1 -0
- DEPLOYMENT_MODEL_LICENSE.pdf +3 -0
- DLA-102-X.onnx +2 -2
- LICENSE +2 -0
- README.md +5 -5
.gitattributes
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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DLA-102-X.dlc filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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DLA-102-X.dlc filter=lfs diff=lfs merge=lfs -text
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DEPLOYMENT_MODEL_LICENSE.pdf filter=lfs diff=lfs merge=lfs -text
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DEPLOYMENT_MODEL_LICENSE.pdf
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version https://git-lfs.github.com/spec/v1
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oid sha256:4409f93b0e82531303b3e10f52f1fdfb56467a25f05b7441c6bbd8bb8a64b42c
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size 109629
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DLA-102-X.onnx
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version https://git-lfs.github.com/spec/v1
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size 105146255
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LICENSE
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The license of the original trained model can be found at hhttps://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/bsd-3-clause.md.
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The license for the deployable model files (.tflite, .onnx, .dlc, .bin, etc.) can be found in DEPLOYMENT_MODEL_LICENSE.pdf.
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README.md
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@@ -31,7 +31,7 @@ More details on model performance across various devices, can be found
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- Model checkpoint: Imagenet
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- Input resolution: 224x224
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- Number of parameters: 26.3M
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- Model size:
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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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| DLA-102-X | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 4.34 ms | 1 - 48 MB | NPU | [DLA-102-X.dlc](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.dlc) |
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| DLA-102-X | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 2.865 ms | 0 - 60 MB | NPU | [DLA-102-X.tflite](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.tflite) |
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| DLA-102-X | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 2.787 ms | 0 - 20 MB | NPU | [DLA-102-X.dlc](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.dlc) |
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| DLA-102-X | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 2.
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| DLA-102-X | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 2.034 ms | 0 - 126 MB | NPU | [DLA-102-X.tflite](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.tflite) |
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| DLA-102-X | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 1.97 ms | 0 - 56 MB | NPU | [DLA-102-X.dlc](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.dlc) |
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| DLA-102-X | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 2.
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| DLA-102-X | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 1.898 ms | 1 - 51 MB | NPU | [DLA-102-X.dlc](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.dlc) |
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| DLA-102-X | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 2.
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| DLA-102-X | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 3.458 ms | 156 - 156 MB | NPU | [DLA-102-X.dlc](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.dlc) |
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| DLA-102-X | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.
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- Model checkpoint: Imagenet
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- Input resolution: 224x224
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- Number of parameters: 26.3M
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- Model size (float): 100 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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|---|---|---|---|---|---|---|---|---|
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| DLA-102-X | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN_DLC | 4.34 ms | 1 - 48 MB | NPU | [DLA-102-X.dlc](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.dlc) |
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| DLA-102-X | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 2.865 ms | 0 - 60 MB | NPU | [DLA-102-X.tflite](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.tflite) |
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| DLA-102-X | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN_DLC | 2.787 ms | 0 - 20 MB | NPU | [DLA-102-X.dlc](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.dlc) |
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| DLA-102-X | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 2.943 ms | 0 - 172 MB | NPU | [DLA-102-X.onnx](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.onnx) |
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| DLA-102-X | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 2.034 ms | 0 - 126 MB | NPU | [DLA-102-X.tflite](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.tflite) |
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| DLA-102-X | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN_DLC | 1.97 ms | 0 - 56 MB | NPU | [DLA-102-X.dlc](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.dlc) |
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| DLA-102-X | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 2.053 ms | 0 - 61 MB | NPU | [DLA-102-X.onnx](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.onnx) |
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| DLA-102-X | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN_DLC | 1.898 ms | 1 - 51 MB | NPU | [DLA-102-X.dlc](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.dlc) |
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| DLA-102-X | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 2.062 ms | 1 - 52 MB | NPU | [DLA-102-X.onnx](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.onnx) |
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| DLA-102-X | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN_DLC | 3.458 ms | 156 - 156 MB | NPU | [DLA-102-X.dlc](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.dlc) |
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| DLA-102-X | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.923 ms | 54 - 54 MB | NPU | [DLA-102-X.onnx](https://huggingface.co/qualcomm/DLA-102-X/blob/main/DLA-102-X.onnx) |
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