diff --git a/_all_pages/v2.0.0/benchmark.md b/_all_pages/v2.0.0/benchmark.md index 1515b31d27ba65e60264e4542d51036ca778beae..3c730895b010d8041f845e4f6c0bd030dfe7daf1 100644 --- a/_all_pages/v2.0.0/benchmark.md +++ b/_all_pages/v2.0.0/benchmark.md @@ -46,27 +46,28 @@ title: Benchmark 数据 * HUAWEI Mate10 * 测试说明 - * commit id: 12c129affaacd476e27a0a82b235a9d547d33f0f + * branch: release/2.0.0 * warmup=10, repeats=30，统计平均时间，单位是ms * 当线程数为1时，```DeviceInfo::Global().SetRunMode```设置LITE_POWER_HIGH，否者设置LITE_POWER_NO_BIND * 模型的输入图像的维度是{1, 3, 224, 224}，输入图像的每一位数值是1 # 测试数据 -## fp32 模型测试数据 + +## fp32模型测试数据 ### paddlepaddle model -骁龙855|armv8 | | |armv7 | | | +骁龙855|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |---- threads num|1 |2 |4 |1 |2 |4 mobilenet_v1 |32.19 |18.81 |10.90 |30.92 |18.31 |10.15 mobilenet_v2 |22.91 |13.75 |8.64 |21.15 |12.79 |7.84 shufflenet_v2 |4.67 |3.37 |2.65 |4.43 |3.15 |2.66 squeezenet_v1.1 |25.10 |15.93 |9.68 |23.28 |14.61 |8.71 -mnasnet |21.84 |13.14 |7.96 |23.29 |12.46 |7.48 +mnasnet |21.84 |13.14 |7.96 |19.61 |11.88 |7.55 -骁龙835|armv8 | | |armv7 | | | +骁龙835|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |---- threads num|1 |2 |4 |1 |2 |4 mobilenet_v1 |94.13 |52.17 |30.68 |88.28 |47.58 |26.64 @@ -75,7 +76,8 @@ shufflenet_v2 |10.87 |6.92 |5.12 |10.41 |6.76 |4.97 squeezenet_v1.1 |73.61 |42.25 |24.44 |64.87 |38.43 |23.06 mnasnet |58.22 |33.43 |20.44 |53.43 |30.20 |18.09 -麒麟980|armv8 | | |armv7 | | | + +麒麟980|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |---- threads num|1 |2 |4 |1 |2 |4 mobilenet_v1 |55.11 |28.24 |13.27 |34.24 |17.74 |12.41 @@ -84,7 +86,7 @@ shufflenet_v2 |7.26 |4.94 |15.06 |5.32 |3.33 |2.82 squeezenet_v1.1 |42.73 |23.66 |57.39 |26.03 |14.53 |13.66 mnasnet |36.87 |20.15 |46.04 |21.85 |12.06 |8.68 -麒麟970|armv8 | | |armv7 | | | +麒麟970|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |---- threads num|1 |2 |4 |1 |2 |4 mobilenet_v1 |97.80 |52.64 |34.46 |94.51 |49.36 |28.43 @@ -95,52 +97,54 @@ mnasnet |61.86 |34.62 |22.68 |59.61 |32.79 |19.56 ## caffe model -骁龙855|armv8 | | |armv7 | | | +骁龙855|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |----| threads num|1 |2 |4 |1 |2 |4 | mobilenet_v1 |32.42 |18.68 |10.86 |30.92 |18.35 |10.07 | mobilenet_v2 |29.53 |17.76 |10.89 |27.19 |16.53 |9.75 | shufflenet_v2 |4.61 |3.29 |2.61 |4.36 |3.11 |2.51 | -骁龙835|armv8 | | |armv7 | | | + +骁龙835|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |----| threads num|1 |2 |4 |1 |2 |4 | mobilenet_v1 |92.52 |52.34 |30.37 |88.31 |49.75 |27.29 | mobilenet_v2 |79.50 |45.67 |28.79 |76.13 |44.01 |26.13 | shufflenet_v2 |10.94 |7.08 |5.16 |10.64 |6.83 |5.01 | -麒麟980|armv8 | | |armv7 | | | + +麒麟980|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |----| threads num|1 |2 |4 |1 |2 |4 | mobilenet_v1 |55.36 |28.18 |13.31 |34.42 |17.93 |12.52 | mobilenet_v2 |49.17 |26.10 |65.49 |30.50 |16.66 |11.72 | shufflenet_v2 |8.45 |5.00 |15.65 |4.58 |3.14 |2.83 | -麒麟970|armv8 | | |armv7 | | | + +麒麟970|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |----| threads num|1 |2 |4 |1 |2 |4 | mobilenet_v1 |97.85 |53.38 |33.85 |94.29 |49.42 |28.29 | mobilenet_v2 |87.40 |50.25 |31.85 |85.55 |48.11 |28.24 | shufflenet_v2 |12.16 |8.39 |6.21 |12.21 |8.33 |6.32 | -## 量化模型 +## int8量化模型测试数据 -骁龙855|armv8 | | |armv7 | | | +骁龙855|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |----| threads num|1 |2 |4 |1 |2 |4 | -mobilenet_v1 |14.01 |8.13 |4.32 |36.80 |21.58 |11.12 | -mobilenet_v2 |17.24 |11.55 |7.82 |28.72 |19.08 |12.49 | +mobilenet_v1 |36.80 |21.58 |11.12 | 14.01 |8.13 |4.32 | +mobilenet_v2 |28.72 |19.08 |12.49 | 17.24 |11.55 |7.82 | -骁龙835|armv8 | | |armv7 | | | +骁龙835|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |----| threads num|1 |2 |4 |1 |2 |4 | -mobilenet_v1 |56.57 |29.84 |15.24 |60.76 |32.25 |16.66 | -mobilenet_v2 |47.52 |28.18 |19.24 |49.38 |31.10 |22.07 | +mobilenet_v1 |60.76 |32.25 |16.66 |56.57 |29.84 |15.24 | +mobilenet_v2 |49.38 |31.10 |22.07 |47.52 |28.18 |19.24 | -骁龙970|armv8 | | |armv7 | | | +骁龙970|armv7 | | |armv8 | | | ----| ---- | ---- | ---- | ---- |---- |----| threads num|1 |2 |4 |1 |2 |4 | -mobilenet_v1 |60.86 |30.98 |16.31 |65.95 |34.39 |18.68 | -mobilenet_v2 |65.57 |37.31 |20.87 |68.87 |39.39 |24.43 | - +mobilenet_v1 |65.95 |34.39 |18.68 |60.86 |30.98 |16.31 | +mobilenet_v2 |68.87 |39.39 |24.43 |65.57 |37.31 |20.87 | \ No newline at end of file diff --git a/_all_pages/v2.0.0/index.md b/_all_pages/v2.0.0/index.md index 37f1b0eb4b4384e49d6ce11a738ca550203f17f9..6ad2bb8968f38cc03ec528e1e00909e1c5208a65 100644 --- a/_all_pages/v2.0.0/index.md +++ b/_all_pages/v2.0.0/index.md @@ -3,7 +3,7 @@ layout: post title: Paddle-Lite文档 --- -> 版本：develop +> 版本：v2.0.0 Paddle-Lite 框架是 PaddleMobile 新一代架构，重点支持移动端推理预测，特点**高性能、多硬件、轻量级** 。支持PaddleFluid/TensorFlow/Caffe/ONNX模型的推理部署，目前已经支持 ARM CPU, Mali GPU, Adreno GPU, Huawei NPU 等多种硬件，正在逐步增加 X86 CPU, Nvidia GPU 等多款硬件，相关硬件性能业内领先。