Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -35,7 +35,8 @@ More details on model performance across various devices, can be found
|
|
| 35 |
|
| 36 |
| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
|
| 37 |
| ---|---|---|---|---|---|---|---|
|
| 38 |
-
| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 17.
|
|
|
|
| 39 |
|
| 40 |
|
| 41 |
|
|
@@ -94,6 +95,16 @@ device. This script does the following:
|
|
| 94 |
python -m qai_hub_models.models.yolov7.export
|
| 95 |
```
|
| 96 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 97 |
|
| 98 |
|
| 99 |
## How does this work?
|
|
|
|
| 35 |
|
| 36 |
| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
|
| 37 |
| ---|---|---|---|---|---|---|---|
|
| 38 |
+
| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 17.219 ms | 0 - 3 MB | FP16 | NPU | [Yolo-v7.tflite](https://huggingface.co/qualcomm/Yolo-v7/blob/main/Yolo-v7.tflite)
|
| 39 |
+
| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 10.503 ms | 5 - 18 MB | FP16 | NPU | [Yolo-v7.so](https://huggingface.co/qualcomm/Yolo-v7/blob/main/Yolo-v7.so)
|
| 40 |
|
| 41 |
|
| 42 |
|
|
|
|
| 95 |
python -m qai_hub_models.models.yolov7.export
|
| 96 |
```
|
| 97 |
|
| 98 |
+
```
|
| 99 |
+
Profile Job summary of Yolo-v7
|
| 100 |
+
--------------------------------------------------
|
| 101 |
+
Device: Snapdragon X Elite CRD (11)
|
| 102 |
+
Estimated Inference Time: 10.92 ms
|
| 103 |
+
Estimated Peak Memory Range: 4.70-4.70 MB
|
| 104 |
+
Compute Units: NPU (221) | Total (221)
|
| 105 |
+
|
| 106 |
+
|
| 107 |
+
```
|
| 108 |
|
| 109 |
|
| 110 |
## How does this work?
|