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a9baf23d
编写于
5月 21, 2020
作者:
Y
yiicy
提交者:
GitHub
5月 21, 2020
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差异文件
update v2.6 benchmark, test=develop (#3663)
update v2.6 benchmark
上级
049af076
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
32 addition
and
32 deletion
+32
-32
docs/benchmark/benchmark.md
docs/benchmark/benchmark.md
+32
-32
未找到文件。
docs/benchmark/benchmark.md
浏览文件 @
a9baf23d
...
...
@@ -18,7 +18,7 @@
*
测试机器(android ndk ndk-r17c)
*
骁龙855
*
xiaomi mi9, snapdragon 855
*
xiaomi mi9, snapdragon 855
(enable sdot instruction)
*
4xA76(1@2.84GHz + 3@2.4GHz) + 4xA55@1.78GHz
*
骁龙845
...
...
@@ -33,7 +33,7 @@
*
HUAWEI Mate10
*
测试说明
*
branch: release/v2.
3
.0
*
branch: release/v2.
6
.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
...
...
@@ -48,75 +48,75 @@
骁龙855|armv7 | armv7 | armv7 |armv8 | armv8 |armv8
----| ---- | ---- | ---- | ---- |---- |----
threads num|1 |2 |4 |1 |2 |4
mobilenet_v1 |3
3.27 |19.52 |11.14 |31.72 |18.76 |10.2
4 |
mobilenet_v2 |2
9.08 |15.79 |9.25 |25.89 |14.17 |8.38
|
shufflenet_v2 |4.
40 |3.09 |2.30 |4.28 |3.02 |2.35
|
squeezenet_v1.1 |
19.96 |12.61 |8.76 |18.25 |11.46 |7.97
|
mnasnet |21.
00 |12.54 |7.28 |19.65 |11.65 |6.96
|
mobilenet_v1 |3
5.11 |20.67 |11.83 |30.56 |18.59 |10.4
4 |
mobilenet_v2 |2
6.36 |15.83 |9.29 |21.64 |13.25 |7.95
|
shufflenet_v2 |4.
56 |3.14 |2.35 |4.07 |2.89 |2.28
|
squeezenet_v1.1 |
21.27 |13.55 |8.49 |18.05 |11.51 |7.83
|
mnasnet |21.
40 |13.18 |7.63 |18.84 |11.40 |6.80
|
骁龙845|armv7 | armv7 | armv7 |armv8 | armv8 |armv8
----| ---- | ---- | ---- | ---- |---- |----
threads num|1 |2 |4 |1 |2 |4
mobilenet_v1 |6
6.36 |35.97 |19.45 |62.66 |33.87 |17.85
|
mobilenet_v2 |45.8
6 |25.53 |14.6 |41.58 |23.24 |13.39
|
shufflenet_v2 |7.
58 |4.89 |3.41 |7.44 |4.91 |3.58
|
squeezenet_v1.1 |3
7.15 |22.74 |13.51 |34.69 |21.27 |12.74
|
mnasnet |
40.09 |21.73 |11.91 |38.19 |21.02 |12.1
1 |
mobilenet_v1 |6
5.56 |37.17 |19.65 |63.23 |32.98 |17.68
|
mobilenet_v2 |45.8
9 |25.20 |14.39 |41.03 |22.94 |12.98
|
shufflenet_v2 |7.
31 |4.66 |3.27 |7.08 |4.71 |3.41
|
squeezenet_v1.1 |3
6.98 |22.53 |13.45 |34.27 |20.96 |12.60
|
mnasnet |
39.85 |23.64 |12.25 |37.81 |20.70 |11.8
1 |
骁龙835|armv7 | armv7 | armv7 |armv8 | armv8 |armv8
----| ---- | ---- | ---- | ---- |---- |----
threads num|1 |2 |4 |1 |2 |4
mobilenet_v1 |9
6.98 |53.92 |32.24 |89.31 |48.02 |27.58
|
mobilenet_v2 |6
7.72 |37.66 |23.82 |60.10 |34.36 |21.05
|
shufflenet_v2 |10.
72 |6.62 |4.63 |10.10 |6.44 |4.63
|
squeezenet_v1.1 |53.
89 |33.28 |20.73 |50.83 |32.31 |19.51
|
mnasnet |5
9.55 |33.53 |20.32 |56.21 |31.58 |19.06
|
mobilenet_v1 |9
2.77 |51.56 |30.14 |87.46 |48.02 |26.42
|
mobilenet_v2 |6
5.78 |36.52 |22.34 |58.31 |33.04 |19.87
|
shufflenet_v2 |10.
39 |6.26 |4.46 |9.72 |6.19 |4.41
|
squeezenet_v1.1 |53.
59 |33.16 |20.13 |51.56 |31.81 |19.10
|
mnasnet |5
7.44 |32.62 |19.47 |54.99 |30.69 |17.98
|
#### caffe model
骁龙855|armv7 | armv7 | armv7 |armv8 | armv8 |armv8
----| ---- | ---- | ---- | ---- |---- |----
threads num|1 |2 |4 |1 |2 |4 |
mobilenet_v1 |3
3.36 |19.45 |11.26 |31.63 |18.74 |10.31
|
mobilenet_v2 |
31.63 |19.21 |11.61 |28.34 |17.14 |10.16
|
shufflenet_v2 |
4.46 |3.08 |2.32 |4.26 |2.98 |2.3
5 |
mobilenet_v1 |3
2.38 |18.65 |10.69 |30.75 |18.11 |9.88
|
mobilenet_v2 |
29.45 |17.86 |10.81 |26.61 |16.26 |9.67
|
shufflenet_v2 |
5.04 |3.14 |2.20 |4.09 |2.85 |2.2
5 |
骁龙845|armv7 | armv7 | armv7 |armv8 | armv8 |armv8
----| ---- | ---- | ---- | ---- |---- |----
threads num|1 |2 |4 |1 |2 |4 |
mobilenet_v1 |6
6.32 |35.83 |19.56 |62.52 |33.79 |17.91
|
mobilenet_v2 |5
8.46 |32.69 |18.56 |53.72 |29.86 |16.8
0 |
shufflenet_v2 |7.
65 |4.82 |3.46 |7.55 |4.97 |3.62
|
mobilenet_v1 |6
5.26 |35.19 |19.11 |61.42 |33.15 |17.48
|
mobilenet_v2 |5
5.59 |31.31 |17.68 |51.54 |29.69 |16.0
0 |
shufflenet_v2 |7.
42 |4.73 |3.33 |7.18 |4.75 |3.39
|
骁龙835|armv7 | armv7 | armv7 |armv8 | armv8 |armv8
----| ---- | ---- | ---- | ---- |---- |----
threads num|1 |2 |4 |1 |2 |4 |
mobilenet_v1 |95.38 |5
4.09 |32.03 |95.05 |48.33 |27.54
|
mobilenet_v2 |8
8.46 |48.98 |30.23 |79.28 |44.64 |27.10
|
shufflenet_v2 |10.
07 |6.51 |4.61 |10.31 |6.50 |4.66
|
mobilenet_v1 |95.38 |5
2.16 |30.37 |92.10 |46.71 |26.31
|
mobilenet_v2 |8
2.89 |45.49 |28.14 |74.91 |41.88 |25.25
|
shufflenet_v2 |10.
25 |6.36 |4.42 |9.68 |6.20 |4.42
|
#### int8量化模型测试数据
骁龙855|armv7 | armv7 | armv7 |armv8 | armv8 |armv8
----| ---- | ---- | ---- | ---- |---- |----
threads num|1 |2 |4 |1 |2 |4 |
mobilenet_v1 |3
6.80 |21.58 |11.12 | 14.01 |8.13 |4.32
|
mobilenet_v2 |2
8.72 |19.08 |12.49 | 17.24 |11.55 |7.82
|
mobilenet_v1 |3
7.18 |21.71 |11.16 | 14.41 |8.34 |4.37
|
mobilenet_v2 |2
7.95 |16.57 |8.97 | 13.68 |8.16 |4.67
|
骁龙835|armv7 | armv7 | armv7 |armv8 | armv8 |armv8
----| ---- | ---- | ---- | ---- |---- |----
threads num|1 |2 |4 |1 |2 |4 |
mobilenet_v1 |6
0.76 |32.25 |16.66 |56.57 |29.84 |15.24
|
mobilenet_v2 |4
9.38 |31.10 |22.07 |47.52 |28.18 |19.24
|
mobilenet_v1 |6
1.63 |32.60 |16.49 |57.36 |29.74 |15.50
|
mobilenet_v2 |4
7.13 |25.62 |13.56 |41.87 |22.42 |11.72
|
麒麟970|armv7 | armv7 | armv7 |armv8 | armv8 |armv8
----| ---- | ---- | ---- | ---- |---- |----
threads num|1 |2 |4 |1 |2 |4 |
mobilenet_v1 |6
5.95 |34.39 |18.68 |60.86 |30.98 |16.31
|
mobilenet_v2 |
68.87 |39.39 |24.43 |65.57 |37.31 |20.87
|
mobilenet_v1 |6
3.13 |32.63 |16.85 |58.92 |29.96 |15.42
|
mobilenet_v2 |
48.60 |25.43 |13.76 |43.06 |22.10 |12.09
|
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