Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
---
|
| 2 |
library_name: pytorch
|
| 3 |
-
license:
|
| 4 |
tags:
|
| 5 |
- backbone
|
| 6 |
- android
|
|
@@ -26,34 +26,47 @@ More details on model performance across various devices, can be found
|
|
| 26 |
|
| 27 |
### Model Details
|
| 28 |
|
| 29 |
-
- **Model Type:**
|
| 30 |
- **Model Stats:**
|
| 31 |
- Model checkpoint: Imagenet
|
| 32 |
- Input resolution: 384x384
|
| 33 |
- Number of parameters: 21.45M
|
| 34 |
- Model size: 82.7 MB
|
| 35 |
|
| 36 |
-
| Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) |
|
| 37 |
|---|---|---|---|---|---|---|---|---|
|
| 38 |
-
| EfficientNet-V2-s |
|
| 39 |
-
| EfficientNet-V2-s |
|
| 40 |
-
| EfficientNet-V2-s |
|
| 41 |
-
| EfficientNet-V2-s |
|
| 42 |
-
| EfficientNet-V2-s |
|
| 43 |
-
| EfficientNet-V2-s |
|
| 44 |
-
| EfficientNet-V2-s |
|
| 45 |
-
| EfficientNet-V2-s |
|
| 46 |
-
| EfficientNet-V2-s |
|
| 47 |
-
| EfficientNet-V2-s |
|
| 48 |
-
| EfficientNet-V2-s |
|
| 49 |
-
| EfficientNet-V2-s |
|
| 50 |
-
| EfficientNet-V2-s |
|
| 51 |
-
| EfficientNet-V2-s |
|
| 52 |
-
| EfficientNet-V2-s |
|
| 53 |
-
| EfficientNet-V2-s |
|
| 54 |
-
| EfficientNet-V2-s |
|
| 55 |
-
| EfficientNet-V2-s | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.
|
| 56 |
-
| EfficientNet-V2-s | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 57 |
|
| 58 |
|
| 59 |
|
|
@@ -115,12 +128,12 @@ python -m qai_hub_models.models.efficientnet_v2_s.export
|
|
| 115 |
Profiling Results
|
| 116 |
------------------------------------------------------------
|
| 117 |
EfficientNet-V2-s
|
| 118 |
-
Device :
|
| 119 |
-
Runtime : TFLITE
|
| 120 |
-
Estimated inference time (ms) :
|
| 121 |
-
Estimated peak memory usage (MB): [0,
|
| 122 |
-
Total # Ops : 508
|
| 123 |
-
Compute Unit(s) :
|
| 124 |
```
|
| 125 |
|
| 126 |
|
|
|
|
| 1 |
---
|
| 2 |
library_name: pytorch
|
| 3 |
+
license: other
|
| 4 |
tags:
|
| 5 |
- backbone
|
| 6 |
- android
|
|
|
|
| 26 |
|
| 27 |
### Model Details
|
| 28 |
|
| 29 |
+
- **Model Type:** Model_use_case.image_classification
|
| 30 |
- **Model Stats:**
|
| 31 |
- Model checkpoint: Imagenet
|
| 32 |
- Input resolution: 384x384
|
| 33 |
- Number of parameters: 21.45M
|
| 34 |
- Model size: 82.7 MB
|
| 35 |
|
| 36 |
+
| Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
|
| 37 |
|---|---|---|---|---|---|---|---|---|
|
| 38 |
+
| EfficientNet-V2-s | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 10.972 ms | 0 - 71 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
|
| 39 |
+
| EfficientNet-V2-s | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 10.795 ms | 1 - 10 MB | NPU | Use Export Script |
|
| 40 |
+
| EfficientNet-V2-s | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 5.227 ms | 0 - 86 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
|
| 41 |
+
| EfficientNet-V2-s | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 5.754 ms | 1 - 43 MB | NPU | Use Export Script |
|
| 42 |
+
| EfficientNet-V2-s | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 2.666 ms | 0 - 328 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
|
| 43 |
+
| EfficientNet-V2-s | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 2.516 ms | 1 - 9 MB | NPU | Use Export Script |
|
| 44 |
+
| EfficientNet-V2-s | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 3.858 ms | 0 - 72 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
|
| 45 |
+
| EfficientNet-V2-s | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 3.606 ms | 1 - 15 MB | NPU | Use Export Script |
|
| 46 |
+
| EfficientNet-V2-s | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 2.679 ms | 0 - 327 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
|
| 47 |
+
| EfficientNet-V2-s | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 2.544 ms | 0 - 25 MB | NPU | Use Export Script |
|
| 48 |
+
| EfficientNet-V2-s | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 2.55 ms | 0 - 92 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
|
| 49 |
+
| EfficientNet-V2-s | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 1.999 ms | 0 - 99 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
|
| 50 |
+
| EfficientNet-V2-s | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 1.862 ms | 1 - 59 MB | NPU | Use Export Script |
|
| 51 |
+
| EfficientNet-V2-s | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 1.878 ms | 0 - 69 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
|
| 52 |
+
| EfficientNet-V2-s | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 1.853 ms | 0 - 75 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
|
| 53 |
+
| EfficientNet-V2-s | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 1.494 ms | 1 - 33 MB | NPU | Use Export Script |
|
| 54 |
+
| EfficientNet-V2-s | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 1.841 ms | 0 - 35 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
|
| 55 |
+
| EfficientNet-V2-s | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.818 ms | 1 - 1 MB | NPU | Use Export Script |
|
| 56 |
+
| EfficientNet-V2-s | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.736 ms | 47 - 47 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
|
| 57 |
+
| EfficientNet-V2-s | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 5.323 ms | 0 - 10 MB | NPU | Use Export Script |
|
| 58 |
+
| EfficientNet-V2-s | w8a16 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 3.367 ms | 0 - 63 MB | NPU | Use Export Script |
|
| 59 |
+
| EfficientNet-V2-s | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 2.618 ms | 0 - 3 MB | NPU | Use Export Script |
|
| 60 |
+
| EfficientNet-V2-s | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 2.984 ms | 0 - 15 MB | NPU | Use Export Script |
|
| 61 |
+
| EfficientNet-V2-s | w8a16 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | QNN | 8.869 ms | 0 - 14 MB | NPU | Use Export Script |
|
| 62 |
+
| EfficientNet-V2-s | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 2.644 ms | 0 - 18 MB | NPU | Use Export Script |
|
| 63 |
+
| EfficientNet-V2-s | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 2.828 ms | 0 - 46 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s_w8a16.onnx) |
|
| 64 |
+
| EfficientNet-V2-s | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 1.777 ms | 0 - 62 MB | NPU | Use Export Script |
|
| 65 |
+
| EfficientNet-V2-s | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 1.912 ms | 0 - 90 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s_w8a16.onnx) |
|
| 66 |
+
| EfficientNet-V2-s | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 1.5 ms | 0 - 58 MB | NPU | Use Export Script |
|
| 67 |
+
| EfficientNet-V2-s | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 1.816 ms | 0 - 73 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s_w8a16.onnx) |
|
| 68 |
+
| EfficientNet-V2-s | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.856 ms | 0 - 0 MB | NPU | Use Export Script |
|
| 69 |
+
| EfficientNet-V2-s | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 3.007 ms | 25 - 25 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s_w8a16.onnx) |
|
| 70 |
|
| 71 |
|
| 72 |
|
|
|
|
| 128 |
Profiling Results
|
| 129 |
------------------------------------------------------------
|
| 130 |
EfficientNet-V2-s
|
| 131 |
+
Device : cs_8275 (ANDROID 14)
|
| 132 |
+
Runtime : TFLITE
|
| 133 |
+
Estimated inference time (ms) : 11.0
|
| 134 |
+
Estimated peak memory usage (MB): [0, 71]
|
| 135 |
+
Total # Ops : 508
|
| 136 |
+
Compute Unit(s) : npu (508 ops) gpu (0 ops) cpu (0 ops)
|
| 137 |
```
|
| 138 |
|
| 139 |
|