v0.42.0
Browse filesSee https://github.com/quic/ai-hub-models/releases/v0.42.0 for changelog.
- LiteHRNet_float.onnx.zip +1 -1
- README.md +20 -20
LiteHRNet_float.onnx.zip
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README.md
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@@ -34,22 +34,22 @@ 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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| LiteHRNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 8.
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| LiteHRNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 5.
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| LiteHRNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 4.
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| LiteHRNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 5.
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| LiteHRNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 5.
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| LiteHRNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 8.
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| LiteHRNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 4.
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| LiteHRNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 6.
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| LiteHRNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 4.
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| LiteHRNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 5.
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| LiteHRNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 2.
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| LiteHRNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 3.
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| LiteHRNet | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 2.
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| LiteHRNet | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 2.
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| LiteHRNet | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 2.
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| LiteHRNet | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 2.
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| LiteHRNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 5.849 ms | 4 - 4 MB | NPU | [LiteHRNet.onnx.zip](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx.zip) |
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```
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## Configure Qualcomm® AI Hub to run this model on a cloud-hosted device
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Sign-in to [Qualcomm® AI Hub](https://
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Qualcomm® ID. Once signed in navigate to `Account -> Settings -> API Token`.
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With this API token, you can configure your client to run models on the cloud
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```bash
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qai-hub configure --api_token API_TOKEN
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```
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Navigate to [docs](https://
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spot check the output with expected output.
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**Note**: This on-device profiling and inference requires access to Qualcomm®
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AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
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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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| LiteHRNet | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 8.793 ms | 0 - 60 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 5.265 ms | 0 - 68 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 4.47 ms | 0 - 20 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | ONNX | 5.592 ms | 0 - 27 MB | NPU | [LiteHRNet.onnx.zip](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx.zip) |
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| LiteHRNet | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 5.427 ms | 0 - 60 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | SA7255P ADP | Qualcomm® SA7255P | TFLITE | 8.793 ms | 0 - 60 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | SA8255 (Proxy) | Qualcomm® SA8255P (Proxy) | TFLITE | 4.478 ms | 0 - 17 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | SA8295P ADP | Qualcomm® SA8295P | TFLITE | 6.535 ms | 0 - 63 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | SA8650 (Proxy) | Qualcomm® SA8650P (Proxy) | TFLITE | 4.496 ms | 0 - 17 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | SA8775P ADP | Qualcomm® SA8775P | TFLITE | 5.427 ms | 0 - 60 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 2.824 ms | 0 - 68 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 3.398 ms | 0 - 55 MB | NPU | [LiteHRNet.onnx.zip](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx.zip) |
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| LiteHRNet | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | TFLITE | 2.361 ms | 0 - 62 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | Samsung Galaxy S25 | Snapdragon® 8 Elite For Galaxy Mobile | ONNX | 2.921 ms | 0 - 52 MB | NPU | [LiteHRNet.onnx.zip](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx.zip) |
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| LiteHRNet | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | TFLITE | 2.138 ms | 0 - 61 MB | NPU | [LiteHRNet.tflite](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.tflite) |
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| LiteHRNet | float | Snapdragon 8 Elite Gen 5 QRD | Snapdragon® 8 Elite Gen5 Mobile | ONNX | 2.771 ms | 1 - 56 MB | NPU | [LiteHRNet.onnx.zip](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx.zip) |
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| LiteHRNet | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 5.849 ms | 4 - 4 MB | NPU | [LiteHRNet.onnx.zip](https://huggingface.co/qualcomm/LiteHRNet/blob/main/LiteHRNet.onnx.zip) |
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```
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## Configure Qualcomm® AI Hub Workbench to run this model on a cloud-hosted device
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Sign-in to [Qualcomm® AI Hub Workbench](https://workbench.aihub.qualcomm.com/) with your
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Qualcomm® ID. Once signed in navigate to `Account -> Settings -> API Token`.
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With this API token, you can configure your client to run models on the cloud
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```bash
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qai-hub configure --api_token API_TOKEN
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```
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Navigate to [docs](https://workbench.aihub.qualcomm.com/docs/) for more information.
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spot check the output with expected output.
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**Note**: This on-device profiling and inference requires access to Qualcomm®
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AI Hub Workbench. [Sign up for access](https://myaccount.qualcomm.com/signup).
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