v0.63.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.63.0 for changelog.
- README.md +138 -143
- release_assets.json +17 -17
README.md
CHANGED
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@@ -16,7 +16,7 @@ pipeline_tag: image-classification
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GPUNet is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
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This is based on the implementation of GPUNet found [here](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet).
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-
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.
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| ONNX | w8a16 | Universal | QAIRT 2.
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| ONNX | w8a8 | Universal | QAIRT 2.
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| QNN_DLC | float | Universal | QAIRT 2.
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| QNN_DLC | w8a16 | Universal | QAIRT 2.
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| QNN_DLC | w8a8 | Universal | QAIRT 2.
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| TFLITE | float | Universal | QAIRT 2.
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| TFLITE | w8a8 | Universal | QAIRT 2.
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For more device-specific assets and performance metrics, visit **[GPUNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/gpunet)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [GPUNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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@@ -66,140 +66,135 @@ See our repository for [GPUNet on GitHub](https://github.com/qualcomm/ai-hub-mod
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| GPUNet | ONNX | float | Snapdragon®
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| GPUNet | ONNX | float | Snapdragon®
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| GPUNet | ONNX | float | Snapdragon®
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| GPUNet | ONNX | float | Snapdragon®
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| GPUNet | ONNX | float |
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| GPUNet | ONNX | float |
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| GPUNet | ONNX | float | Qualcomm®
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| GPUNet | ONNX | float | Qualcomm® Dragonwing™
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| GPUNet | ONNX | float | Qualcomm®
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| GPUNet | ONNX | float | Qualcomm® Dragonwing™
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| GPUNet | ONNX | float |
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| GPUNet | ONNX | float |
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| GPUNet | ONNX | w8a16 | Snapdragon®
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| GPUNet | ONNX | w8a16 | Snapdragon®
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| GPUNet | ONNX | w8a16 | Snapdragon®
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| GPUNet | ONNX | w8a16 | Snapdragon®
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| GPUNet | ONNX | w8a16 |
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| GPUNet | ONNX | w8a16 |
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| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™
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| GPUNet | ONNX | w8a16 | Qualcomm®
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| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™
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| GPUNet | ONNX | w8a16 | Qualcomm®
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| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™
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| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™
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| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-
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| GPUNet | ONNX | w8a16 |
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| GPUNet | ONNX | w8a16 |
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| GPUNet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.
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| GPUNet | ONNX | w8a8 | Snapdragon®
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| GPUNet | ONNX | w8a8 | Snapdragon®
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| GPUNet | ONNX | w8a8 | Snapdragon®
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| GPUNet | ONNX | w8a8 | Snapdragon®
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| GPUNet | ONNX | w8a8 |
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| GPUNet | ONNX | w8a8 |
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| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™
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| GPUNet | ONNX | w8a8 | Qualcomm®
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| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™
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| GPUNet | ONNX | w8a8 | Qualcomm®
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| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™
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| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™
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| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-
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| GPUNet | ONNX | w8a8 |
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| GPUNet | ONNX | w8a8 |
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| GPUNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.
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| GPUNet | QNN_DLC | float | Snapdragon®
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| GPUNet | QNN_DLC | float | Snapdragon®
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| GPUNet | QNN_DLC | float | Snapdragon®
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| GPUNet | QNN_DLC | float | Snapdragon®
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| GPUNet | QNN_DLC | float |
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| GPUNet | QNN_DLC | float |
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| GPUNet | QNN_DLC | float | Qualcomm®
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| GPUNet | QNN_DLC | float | Qualcomm®
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| GPUNet | QNN_DLC | float | Qualcomm®
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| GPUNet | QNN_DLC | float | Qualcomm®
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| GPUNet | QNN_DLC | float | Qualcomm®
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| GPUNet | QNN_DLC | float | Qualcomm®
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| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™
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| GPUNet | QNN_DLC | float | Qualcomm®
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| GPUNet | QNN_DLC | float | Qualcomm®
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| GPUNet | QNN_DLC | float |
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| GPUNet | QNN_DLC |
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| GPUNet | QNN_DLC | w8a16 | Snapdragon®
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| GPUNet | QNN_DLC | w8a16 | Snapdragon®
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| GPUNet | QNN_DLC | w8a16 | Snapdragon®
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| GPUNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen
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| GPUNet | QNN_DLC | w8a16 |
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™
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| GPUNet | QNN_DLC | w8a16 | Qualcomm®
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.282 ms | 0 - 45 MB | NPU
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.282 ms | 0 - 45 MB | NPU
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 1.
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA7255P | 2.
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| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.
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| GPUNet | QNN_DLC | w8a16 | Snapdragon®
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| GPUNet | QNN_DLC |
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| GPUNet | QNN_DLC |
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| GPUNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.
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| GPUNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.
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| GPUNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.
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| GPUNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 2.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8650P | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8255P | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 3.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.
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| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8295P |
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| GPUNet | QNN_DLC | w8a8 | Snapdragon®
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| GPUNet |
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| GPUNet |
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| GPUNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.909 ms | 0 -
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| GPUNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 2.
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| GPUNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.
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| GPUNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.
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| GPUNet | TFLITE | float | Qualcomm®
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| GPUNet | TFLITE | float | Qualcomm®
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| GPUNet | TFLITE | float | Qualcomm®
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| GPUNet | TFLITE | float | Qualcomm®
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| GPUNet | TFLITE | float | Qualcomm®
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| GPUNet | TFLITE |
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| GPUNet | TFLITE |
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| GPUNet | TFLITE |
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| GPUNet | TFLITE |
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| GPUNet | TFLITE |
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| GPUNet | TFLITE | w8a8 |
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| GPUNet | TFLITE | w8a8 |
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| GPUNet | TFLITE | w8a8 | Qualcomm®
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| GPUNet | TFLITE | w8a8 | Qualcomm®
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| GPUNet | TFLITE | w8a8 | Qualcomm®
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| GPUNet | TFLITE | w8a8 | Qualcomm®
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| GPUNet | TFLITE | w8a8 | Qualcomm®
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| GPUNet | TFLITE | w8a8 | Qualcomm®
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| GPUNet | TFLITE | w8a8 | Qualcomm®
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| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™
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| GPUNet | TFLITE | w8a8 | Qualcomm®
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| GPUNet | TFLITE | w8a8 | Qualcomm®
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| GPUNet | TFLITE | w8a8 |
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| GPUNet | TFLITE | w8a8 | Qualcomm® SA7255P | 19.083 ms | 1 - 25 MB | GPU
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| GPUNet | TFLITE | w8a8 | Qualcomm® SA8295P | 0.906 ms | 0 - 37 MB | NPU
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| GPUNet | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.271 ms | 0 - 37 MB | NPU
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| GPUNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.242 ms | 0 - 41 MB | NPU
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| GPUNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.615 ms | 0 - 39 MB | NPU
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## License
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* The license for the original implementation of GPUNet can be found
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GPUNet is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
|
| 17 |
|
| 18 |
This is based on the implementation of GPUNet found [here](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/GPUNet).
|
| 19 |
+
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/gpunet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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+
| ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-onnx-float.zip)
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+
| ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-onnx-w8a16.zip)
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+
| ONNX | w8a8 | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-onnx-w8a8.zip)
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+
| QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-qnn_dlc-float.zip)
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+
| QNN_DLC | w8a16 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-qnn_dlc-w8a16.zip)
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| QNN_DLC | w8a8 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-qnn_dlc-w8a8.zip)
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+
| TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-tflite-float.zip)
|
| 39 |
+
| TFLITE | w8a8 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-tflite-w8a8.zip)
|
| 40 |
|
| 41 |
For more device-specific assets and performance metrics, visit **[GPUNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/gpunet)**.
|
| 42 |
|
| 43 |
|
| 44 |
### Option 2: Export with Custom Configurations
|
| 45 |
|
| 46 |
+
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/gpunet) Python library to compile and export the model with your own:
|
| 47 |
- Custom weights (e.g., fine-tuned checkpoints)
|
| 48 |
- Custom input shapes
|
| 49 |
- Target device and runtime configurations
|
| 50 |
|
| 51 |
This option is ideal if you need to customize the model beyond the default configuration provided here.
|
| 52 |
|
| 53 |
+
See our repository for [GPUNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/gpunet) for usage instructions.
|
| 54 |
|
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## Model Details
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| 56 |
|
|
|
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| 66 |
## Performance Summary
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| 67 |
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 68 |
|---|---|---|---|---|---|---
|
| 69 |
+
| GPUNet | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.513 ms | 0 - 38 MB | NPU
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+
| GPUNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.595 ms | 0 - 38 MB | NPU
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| GPUNet | ONNX | float | Snapdragon® X2 Elite | 0.479 ms | 2 - 2 MB | NPU
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| GPUNet | ONNX | float | Snapdragon® X Elite | 0.984 ms | 25 - 25 MB | NPU
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| GPUNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.748 ms | 0 - 60 MB | NPU
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| GPUNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 1.64 ms | 1 - 68 MB | NPU
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| 75 |
+
| GPUNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.501 ms | 1 - 5 MB | NPU
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+
| GPUNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.009 ms | 0 - 32 MB | NPU
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| GPUNet | ONNX | float | Qualcomm® QCS8450 | 1.64 ms | 1 - 68 MB | NPU
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+
| GPUNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.388 ms | 1 - 4 MB | NPU
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+
| GPUNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.984 ms | 25 - 25 MB | NPU
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| GPUNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.595 ms | 0 - 38 MB | NPU
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+
| GPUNet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.372 ms | 0 - 52 MB | NPU
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| GPUNet | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.43 ms | 0 - 55 MB | NPU
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| GPUNet | ONNX | w8a16 | Snapdragon® X2 Elite | 0.388 ms | 1 - 1 MB | NPU
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| GPUNet | ONNX | w8a16 | Snapdragon® X Elite | 0.841 ms | 13 - 13 MB | NPU
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| GPUNet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.595 ms | 0 - 70 MB | NPU
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+
| GPUNet | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.03 ms | 0 - 74 MB | NPU
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+
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 2.728 ms | 0 - 3 MB | NPU
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+
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 0.895 ms | 0 - 4 MB | NPU
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+
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.825 ms | 0 - 16 MB | NPU
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| 90 |
+
| GPUNet | ONNX | w8a16 | Qualcomm® QCS8450 | 1.03 ms | 0 - 74 MB | NPU
|
| 91 |
+
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 0.96 ms | 0 - 3 MB | NPU
|
| 92 |
+
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 0.841 ms | 13 - 13 MB | NPU
|
| 93 |
+
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 5.745 ms | 0 - 168 MB | NPU
|
| 94 |
+
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.084 ms | 0 - 52 MB | NPU
|
| 95 |
+
| GPUNet | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.43 ms | 0 - 55 MB | NPU
|
| 96 |
+
| GPUNet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.084 ms | 0 - 52 MB | NPU
|
| 97 |
+
| GPUNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.361 ms | 0 - 54 MB | NPU
|
| 98 |
+
| GPUNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.391 ms | 0 - 52 MB | NPU
|
| 99 |
+
| GPUNet | ONNX | w8a8 | Snapdragon® X2 Elite | 0.3 ms | 1 - 1 MB | NPU
|
| 100 |
+
| GPUNet | ONNX | w8a8 | Snapdragon® X Elite | 0.584 ms | 12 - 12 MB | NPU
|
| 101 |
+
| GPUNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.458 ms | 0 - 66 MB | NPU
|
| 102 |
+
| GPUNet | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.759 ms | 0 - 69 MB | NPU
|
| 103 |
+
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 1.821 ms | 0 - 3 MB | NPU
|
| 104 |
+
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.709 ms | 0 - 4 MB | NPU
|
| 105 |
+
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.612 ms | 0 - 17 MB | NPU
|
| 106 |
+
| GPUNet | ONNX | w8a8 | Qualcomm® QCS8450 | 0.759 ms | 0 - 69 MB | NPU
|
| 107 |
+
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.731 ms | 0 - 3 MB | NPU
|
| 108 |
+
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.584 ms | 12 - 12 MB | NPU
|
| 109 |
+
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 3.243 ms | 0 - 50 MB | NPU
|
| 110 |
+
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.709 ms | 0 - 49 MB | NPU
|
| 111 |
+
| GPUNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.391 ms | 0 - 52 MB | NPU
|
| 112 |
+
| GPUNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.709 ms | 0 - 49 MB | NPU
|
| 113 |
+
| GPUNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.567 ms | 1 - 36 MB | NPU
|
| 114 |
+
| GPUNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.7 ms | 0 - 34 MB | NPU
|
| 115 |
+
| GPUNet | QNN_DLC | float | Snapdragon® X2 Elite | 0.629 ms | 1 - 1 MB | NPU
|
| 116 |
+
| GPUNet | QNN_DLC | float | Snapdragon® X Elite | 1.389 ms | 1 - 1 MB | NPU
|
| 117 |
+
| GPUNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.903 ms | 0 - 59 MB | NPU
|
| 118 |
+
| GPUNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 2.244 ms | 1 - 68 MB | NPU
|
| 119 |
+
| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.64 ms | 1 - 4 MB | NPU
|
| 120 |
+
| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.284 ms | 1 - 2 MB | NPU
|
| 121 |
+
| GPUNet | QNN_DLC | float | Qualcomm® SA8775P | 1.696 ms | 1 - 39 MB | NPU
|
| 122 |
+
| GPUNet | QNN_DLC | float | Qualcomm® SA8650P | 1.696 ms | 1 - 39 MB | NPU
|
| 123 |
+
| GPUNet | QNN_DLC | float | Qualcomm® SA8255P | 1.696 ms | 1 - 39 MB | NPU
|
| 124 |
+
| GPUNet | QNN_DLC | float | Qualcomm® QCS8450 | 2.244 ms | 1 - 68 MB | NPU
|
| 125 |
+
| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.577 ms | 1 - 3 MB | NPU
|
| 126 |
+
| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.389 ms | 1 - 1 MB | NPU
|
| 127 |
+
| GPUNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.7 ms | 0 - 34 MB | NPU
|
| 128 |
+
| GPUNet | QNN_DLC | float | Qualcomm® SA8295P | 2.151 ms | 0 - 35 MB | NPU
|
| 129 |
+
| GPUNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.446 ms | 0 - 47 MB | NPU
|
| 130 |
+
| GPUNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.537 ms | 0 - 47 MB | NPU
|
| 131 |
+
| GPUNet | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.56 ms | 0 - 0 MB | NPU
|
| 132 |
+
| GPUNet | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.238 ms | 0 - 0 MB | NPU
|
| 133 |
+
| GPUNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.773 ms | 21 - 86 MB | NPU
|
| 134 |
+
| GPUNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.29 ms | 0 - 72 MB | NPU
|
| 135 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 3.352 ms | 2 - 5 MB | NPU
|
| 136 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.088 ms | 0 - 3 MB | NPU
|
| 137 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.071 ms | 0 - 2 MB | NPU
|
| 138 |
| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.282 ms | 0 - 45 MB | NPU
|
| 139 |
| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.282 ms | 0 - 45 MB | NPU
|
| 140 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 1.29 ms | 0 - 72 MB | NPU
|
| 141 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.165 ms | 0 - 3 MB | NPU
|
| 142 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.238 ms | 0 - 0 MB | NPU
|
| 143 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.484 ms | 0 - 164 MB | NPU
|
| 144 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.29 ms | 0 - 48 MB | NPU
|
| 145 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.537 ms | 0 - 47 MB | NPU
|
| 146 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA7255P | 2.459 ms | 0 - 48 MB | NPU
|
| 147 |
+
| GPUNet | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.564 ms | 0 - 45 MB | NPU
|
| 148 |
+
| GPUNet | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.29 ms | 0 - 48 MB | NPU
|
| 149 |
+
| GPUNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.295 ms | 0 - 46 MB | NPU
|
| 150 |
+
| GPUNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.341 ms | 0 - 47 MB | NPU
|
| 151 |
+
| GPUNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.4 ms | 0 - 0 MB | NPU
|
| 152 |
+
| GPUNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.71 ms | 0 - 0 MB | NPU
|
| 153 |
+
| GPUNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.459 ms | 0 - 62 MB | NPU
|
| 154 |
+
| GPUNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.753 ms | 0 - 68 MB | NPU
|
| 155 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 2.029 ms | 0 - 2 MB | NPU
|
| 156 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.69 ms | 0 - 3 MB | NPU
|
| 157 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.603 ms | 0 - 2 MB | NPU
|
| 158 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.795 ms | 0 - 46 MB | NPU
|
| 159 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8650P | 0.795 ms | 0 - 46 MB | NPU
|
| 160 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8255P | 0.795 ms | 0 - 46 MB | NPU
|
| 161 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 0.753 ms | 0 - 68 MB | NPU
|
| 162 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.696 ms | 0 - 2 MB | NPU
|
| 163 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 0.71 ms | 0 - 0 MB | NPU
|
| 164 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 3.495 ms | 0 - 46 MB | NPU
|
| 165 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.791 ms | 0 - 45 MB | NPU
|
| 166 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.341 ms | 0 - 47 MB | NPU
|
| 167 |
+
| GPUNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.982 ms | 0 - 42 MB | NPU
|
| 168 |
+
| GPUNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.791 ms | 0 - 45 MB | NPU
|
| 169 |
+
| GPUNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.56 ms | 0 - 48 MB | NPU
|
| 170 |
+
| GPUNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.702 ms | 0 - 51 MB | NPU
|
| 171 |
+
| GPUNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.909 ms | 0 - 78 MB | NPU
|
| 172 |
+
| GPUNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 2.231 ms | 0 - 88 MB | NPU
|
| 173 |
+
| GPUNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.641 ms | 0 - 28 MB | NPU
|
| 174 |
+
| GPUNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.252 ms | 0 - 3 MB | NPU
|
| 175 |
+
| GPUNet | TFLITE | float | Qualcomm® QCS8450 | 2.231 ms | 0 - 88 MB | NPU
|
| 176 |
+
| GPUNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.556 ms | 0 - 27 MB | NPU
|
| 177 |
+
| GPUNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.702 ms | 0 - 51 MB | NPU
|
| 178 |
+
| GPUNet | TFLITE | float | Qualcomm® SA7255P | 4.691 ms | 0 - 48 MB | NPU
|
| 179 |
+
| GPUNet | TFLITE | float | Qualcomm® SA8295P | 2.156 ms | 0 - 47 MB | NPU
|
| 180 |
+
| GPUNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.235 ms | 0 - 44 MB | NPU
|
| 181 |
+
| GPUNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.26 ms | 0 - 41 MB | NPU
|
| 182 |
+
| GPUNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.332 ms | 0 - 60 MB | NPU
|
| 183 |
+
| GPUNet | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 0.557 ms | 0 - 68 MB | NPU
|
| 184 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 1.493 ms | 0 - 16 MB | NPU
|
| 185 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 0.529 ms | 0 - 15 MB | NPU
|
| 186 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.421 ms | 0 - 2 MB | NPU
|
| 187 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® SA8775P | 0.617 ms | 0 - 47 MB | NPU
|
| 188 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® SA8650P | 0.617 ms | 0 - 47 MB | NPU
|
| 189 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® SA8255P | 0.617 ms | 0 - 47 MB | NPU
|
| 190 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® QCS8450 | 0.557 ms | 0 - 68 MB | NPU
|
| 191 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 0.515 ms | 0 - 14 MB | NPU
|
| 192 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 2.959 ms | 0 - 44 MB | NPU
|
| 193 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 0.61 ms | 0 - 44 MB | NPU
|
| 194 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.26 ms | 0 - 41 MB | NPU
|
| 195 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® SA7255P | 1.082 ms | 0 - 44 MB | NPU
|
| 196 |
+
| GPUNet | TFLITE | w8a8 | Qualcomm® SA8295P | 0.781 ms | 0 - 41 MB | NPU
|
| 197 |
+
| GPUNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.61 ms | 0 - 44 MB | NPU
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 198 |
|
| 199 |
## License
|
| 200 |
* The license for the original implementation of GPUNet can be found
|
release_assets.json
CHANGED
|
@@ -1,26 +1,26 @@
|
|
| 1 |
{
|
| 2 |
-
"version": "0.
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
| 6 |
"onnx": {
|
| 7 |
"tool_versions": {
|
| 8 |
-
"qairt": "2.
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
-
"qairt": "2.
|
| 16 |
},
|
| 17 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
-
"qairt": "2.
|
| 22 |
},
|
| 23 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
@@ -28,16 +28,16 @@
|
|
| 28 |
"universal_assets": {
|
| 29 |
"onnx": {
|
| 30 |
"tool_versions": {
|
| 31 |
-
"qairt": "2.
|
| 32 |
"onnx_runtime": "1.27.1"
|
| 33 |
},
|
| 34 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.
|
| 35 |
},
|
| 36 |
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
-
"qairt": "2.
|
| 39 |
},
|
| 40 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.
|
| 41 |
}
|
| 42 |
}
|
| 43 |
},
|
|
@@ -45,22 +45,22 @@
|
|
| 45 |
"universal_assets": {
|
| 46 |
"onnx": {
|
| 47 |
"tool_versions": {
|
| 48 |
-
"qairt": "2.
|
| 49 |
"onnx_runtime": "1.27.1"
|
| 50 |
},
|
| 51 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.
|
| 52 |
},
|
| 53 |
"qnn_dlc": {
|
| 54 |
"tool_versions": {
|
| 55 |
-
"qairt": "2.
|
| 56 |
},
|
| 57 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.
|
| 58 |
},
|
| 59 |
"tflite": {
|
| 60 |
"tool_versions": {
|
| 61 |
-
"qairt": "2.
|
| 62 |
},
|
| 63 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.
|
| 64 |
}
|
| 65 |
}
|
| 66 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.63.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
| 6 |
"onnx": {
|
| 7 |
"tool_versions": {
|
| 8 |
+
"qairt": "2.50.0.260828221209",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-onnx-float.zip"
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
+
"qairt": "2.50.0.260828221209"
|
| 16 |
},
|
| 17 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
+
"qairt": "2.50.0.260828221209"
|
| 22 |
},
|
| 23 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
|
|
| 28 |
"universal_assets": {
|
| 29 |
"onnx": {
|
| 30 |
"tool_versions": {
|
| 31 |
+
"qairt": "2.50.0.260828221209",
|
| 32 |
"onnx_runtime": "1.27.1"
|
| 33 |
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-onnx-w8a16.zip"
|
| 35 |
},
|
| 36 |
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
+
"qairt": "2.50.0.260828221209"
|
| 39 |
},
|
| 40 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-qnn_dlc-w8a16.zip"
|
| 41 |
}
|
| 42 |
}
|
| 43 |
},
|
|
|
|
| 45 |
"universal_assets": {
|
| 46 |
"onnx": {
|
| 47 |
"tool_versions": {
|
| 48 |
+
"qairt": "2.50.0.260828221209",
|
| 49 |
"onnx_runtime": "1.27.1"
|
| 50 |
},
|
| 51 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-onnx-w8a8.zip"
|
| 52 |
},
|
| 53 |
"qnn_dlc": {
|
| 54 |
"tool_versions": {
|
| 55 |
+
"qairt": "2.50.0.260828221209"
|
| 56 |
},
|
| 57 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-qnn_dlc-w8a8.zip"
|
| 58 |
},
|
| 59 |
"tflite": {
|
| 60 |
"tool_versions": {
|
| 61 |
+
"qairt": "2.50.0.260828221209"
|
| 62 |
},
|
| 63 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/gpunet/releases/v0.63.0/gpunet-tflite-w8a8.zip"
|
| 64 |
}
|
| 65 |
}
|
| 66 |
}
|