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update PP-LCNet.md

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cuicheng01 2022-06-07 06:45:50 +00:00
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docs/zh_CN/models/PP-LCNet.md
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@ -188,7 +188,7 @@ MobileNetV3_large_x0_75 | 64.53 | 151 |
#### 1.4.1 基于Intel Xeon Gold 6148 的预测速度
| Model | Intel Xeon Gold 6148 time(ms)<br/>bs=1, thread=10 |
| Model | Latency(ms)(ms)<br/>bs=1, thread=10 |
|:--:|:--:|
| PPLCNet_x0_25 | 1.74 |
| PPLCNet_x0_35 | 1.92 |
@ -199,13 +199,13 @@ MobileNetV3_large_x0_75 | 64.53 | 151 |
| PPLCNet_x2_0 | 4.27 |
| PPLCNet_x2_5 | 5.39 |
**备注：** 推理过程使用MKLDNN。
**备注：** 精度类型为 FP32，推理过程使用MKLDNN。
<a name="1.4.2"></a>
#### 1.4.2 基于 V100 GPU 的预测速度
| Models | FP32<br>Batch Size=1<br>(ms) | FP32<br/>Batch Size=1\4<br/>(ms) | FP32<br/>Batch Size=8<br/>(ms) |
| Models | Latency(ms)<br>bs=1 | Latency(ms)<br/>bs=4 | Latency(ms)<br/>bs=8 |
| :--: | :--:| :--: | :--: |
| PPLCNet_x0_25 | 0.72 | 1.17 | 1.71 |
| PPLCNet_x0_35 | 0.69 | 1.21 | 1.82 |
@ -215,13 +215,13 @@ MobileNetV3_large_x0_75 | 64.53 | 151 |
| PPLCNet_x1_5 | 0.82 | 2.06 | 3.12 |
| PPLCNet_x2_0 | 0.94 | 2.58 | 4.08 |
**备注：** 推理过程使用 TensorRT。
**备注：** 精度类型为 FP32，推理过程使用 TensorRT，。
<a name="1.4.3"></a>
#### 1.4.3 基于 SD855 的预测速度
| Models | SD855 time(ms)<br>bs=1, thread=1 | SD855 time(ms)<br/>bs=1, thread=2 | SD855 time(ms)<br/>bs=1, thread=4 |
| Models | Latency(ms)<br>bs=1, thread=1 | Latency(ms)<br/>bs=1, thread=2 | Latency(ms)<br/>bs=1, thread=4 |
| :--: | :--: | :--: | :--: |
| PPLCNet_x0_25 | 2.30 | 1.62 | 1.32 |
| PPLCNet_x0_35 | 3.15 | 2.11 | 1.64 |
@ -231,6 +231,8 @@ MobileNetV3_large_x0_75 | 64.53 | 151 |
| PPLCNet_x1_5 | 20.55 | 12.26 | 7.54 |
| PPLCNet_x2_0 | 33.79 | 20.17 | 12.10 |
| PPLCNet_x2_5 | 49.89 | 29.60 | 17.82 |
**备注：** 精度类型为 FP32。
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