Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -1,7 +1,4 @@
|
|
| 1 |
---
|
| 2 |
-
datasets:
|
| 3 |
-
- imagenet-1k
|
| 4 |
-
- imagenet-22k
|
| 5 |
library_name: pytorch
|
| 6 |
license: bsd-3-clause
|
| 7 |
pipeline_tag: image-classification
|
|
@@ -38,27 +35,29 @@ More details on model performance across various devices, can be found
|
|
| 38 |
|
| 39 |
| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
|
| 40 |
|---|---|---|---|---|---|---|---|---|
|
| 41 |
-
| RegNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 2.
|
| 42 |
-
| RegNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 2.
|
| 43 |
-
| RegNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 2.
|
| 44 |
-
| RegNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.
|
| 45 |
-
| RegNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 1.
|
| 46 |
-
| RegNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.
|
| 47 |
-
| RegNet |
|
| 48 |
-
| RegNet |
|
| 49 |
-
| RegNet |
|
| 50 |
-
| RegNet |
|
| 51 |
-
| RegNet |
|
| 52 |
-
| RegNet |
|
| 53 |
-
| RegNet |
|
| 54 |
-
| RegNet |
|
| 55 |
-
| RegNet |
|
| 56 |
-
| RegNet |
|
| 57 |
-
| RegNet |
|
| 58 |
-
| RegNet |
|
| 59 |
-
| RegNet |
|
|
|
|
|
|
|
| 60 |
| RegNet | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.232 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
|
| 61 |
-
| RegNet | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.
|
| 62 |
|
| 63 |
|
| 64 |
|
|
@@ -122,8 +121,8 @@ Profiling Results
|
|
| 122 |
RegNet
|
| 123 |
Device : Samsung Galaxy S23 (13)
|
| 124 |
Runtime : TFLITE
|
| 125 |
-
Estimated inference time (ms) : 2.
|
| 126 |
-
Estimated peak memory usage (MB): [0,
|
| 127 |
Total # Ops : 114
|
| 128 |
Compute Unit(s) : NPU (114 ops)
|
| 129 |
```
|
|
|
|
| 1 |
---
|
|
|
|
|
|
|
|
|
|
| 2 |
library_name: pytorch
|
| 3 |
license: bsd-3-clause
|
| 4 |
pipeline_tag: image-classification
|
|
|
|
| 35 |
|
| 36 |
| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
|
| 37 |
|---|---|---|---|---|---|---|---|---|
|
| 38 |
+
| RegNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 2.029 ms | 0 - 2 MB | FP16 | NPU | [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) |
|
| 39 |
+
| RegNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 2.159 ms | 0 - 59 MB | FP16 | NPU | [RegNet.so](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.so) |
|
| 40 |
+
| RegNet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 2.177 ms | 1 - 3 MB | FP16 | NPU | [RegNet.onnx](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.onnx) |
|
| 41 |
+
| RegNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.42 ms | 0 - 144 MB | FP16 | NPU | [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) |
|
| 42 |
+
| RegNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 1.483 ms | 0 - 28 MB | FP16 | NPU | [RegNet.so](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.so) |
|
| 43 |
+
| RegNet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.559 ms | 0 - 147 MB | FP16 | NPU | [RegNet.onnx](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.onnx) |
|
| 44 |
+
| RegNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.391 ms | 0 - 72 MB | FP16 | NPU | [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) |
|
| 45 |
+
| RegNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 1.204 ms | 0 - 27 MB | FP16 | NPU | Use Export Script |
|
| 46 |
+
| RegNet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 1.554 ms | 0 - 74 MB | FP16 | NPU | [RegNet.onnx](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.onnx) |
|
| 47 |
+
| RegNet | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 2.028 ms | 0 - 375 MB | FP16 | NPU | [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) |
|
| 48 |
+
| RegNet | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 2.015 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
|
| 49 |
+
| RegNet | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 2.04 ms | 0 - 2 MB | FP16 | NPU | [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) |
|
| 50 |
+
| RegNet | SA8255 (Proxy) | SA8255P Proxy | QNN | 2.031 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
|
| 51 |
+
| RegNet | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 2.064 ms | 0 - 364 MB | FP16 | NPU | [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) |
|
| 52 |
+
| RegNet | SA8775 (Proxy) | SA8775P Proxy | QNN | 2.02 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
|
| 53 |
+
| RegNet | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 2.051 ms | 0 - 2 MB | FP16 | NPU | [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) |
|
| 54 |
+
| RegNet | SA8650 (Proxy) | SA8650P Proxy | QNN | 2.031 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
|
| 55 |
+
| RegNet | SA8295P ADP | SA8295P | TFLITE | 3.559 ms | 0 - 40 MB | FP16 | NPU | [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) |
|
| 56 |
+
| RegNet | SA8295P ADP | SA8295P | QNN | 3.67 ms | 0 - 5 MB | FP16 | NPU | Use Export Script |
|
| 57 |
+
| RegNet | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 2.811 ms | 0 - 126 MB | FP16 | NPU | [RegNet.tflite](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.tflite) |
|
| 58 |
+
| RegNet | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 2.907 ms | 1 - 25 MB | FP16 | NPU | Use Export Script |
|
| 59 |
| RegNet | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.232 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
|
| 60 |
+
| RegNet | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.22 ms | 40 - 40 MB | FP16 | NPU | [RegNet.onnx](https://huggingface.co/qualcomm/RegNet/blob/main/RegNet.onnx) |
|
| 61 |
|
| 62 |
|
| 63 |
|
|
|
|
| 121 |
RegNet
|
| 122 |
Device : Samsung Galaxy S23 (13)
|
| 123 |
Runtime : TFLITE
|
| 124 |
+
Estimated inference time (ms) : 2.0
|
| 125 |
+
Estimated peak memory usage (MB): [0, 2]
|
| 126 |
Total # Ops : 114
|
| 127 |
Compute Unit(s) : NPU (114 ops)
|
| 128 |
```
|