Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
PaddlePaddle
Paddle-Lite
提交
5646128f
P
Paddle-Lite
项目概览
PaddlePaddle
/
Paddle-Lite
通知
332
Star
4
Fork
1
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
271
列表
看板
标记
里程碑
合并请求
78
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle-Lite
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
271
Issue
271
列表
看板
标记
里程碑
合并请求
78
合并请求
78
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
未验证
提交
5646128f
编写于
3月 20, 2020
作者:
C
cc
提交者:
GitHub
3月 20, 2020
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Update docs for benchmark_toos, test=develop, test=document_fix (#3237)
上级
e5575e1f
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_tools.md
docs/benchmark/benchmark_tools.md
+32
-32
未找到文件。
docs/benchmark/benchmark_tools.md
浏览文件 @
5646128f
...
...
@@ -135,53 +135,53 @@ sh benchmark.sh ./benchmark_bin_v8 ./benchmark_models result_armv8.txt true
> 不同手机,不同版本,测试模型的性能数据不同。
```
shell
run benchmark armv
7
run benchmark armv
8
--------------------------------------
PaddleLite Benchmark
Threads
=
1
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
159.8427 ms
--
mobilenet_v1 avg
=
235.0072 ms
--
mobilenet_v2 avg
=
173.0387 ms
--
shufflenet_v2 avg
=
76.0040 ms
--
squeezenet_v11 avg
=
164.2957 ms
mnasnet min
=
19.83500 max
=
19.38500 average
=
19.65503
mobilenetv1 min
=
32.00600 max
=
31.56900 average
=
31.81983
mobilenetv2 min
=
22.37900 max
=
22.08700 average
=
22.28623
shufflenetv2 min
=
10.80400 max
=
10.62900 average
=
10.68890
squeezenet min
=
17.67400 max
=
17.47900 average
=
17.57677
Threads
=
2
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
83.1287 ms
--
mobilenet_v1 avg
=
121.6029 ms
--
mobilenet_v2 avg
=
86.6175 ms
--
shufflenet_v2 avg
=
41.5761 ms
--
squeezenet_v11 avg
=
87.8678 ms
mnasnet min
=
11.85600 max
=
11.72000 average
=
11.77127
mobilenetv1 min
=
18.75000 max
=
18.64300 average
=
18.70593
mobilenetv2 min
=
14.05100 max
=
13.59900 average
=
13.71450
shufflenetv2 min
=
6.67200 max
=
6.58300 average
=
6.63400
squeezenet min
=
12.07100 max
=
11.33400 average
=
11.41253
Threads
=
4
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
73.3880 ms
--
mobilenet_v1 avg
=
119.0739 ms
--
mobilenet_v2 avg
=
85.3050 ms
--
shufflenet_v2 avg
=
38.0762 ms
--
squeezenet_v11 avg
=
64.2201 ms
mnasnet min
=
7.19300 max
=
7.02600 average
=
7.08480
mobilenetv1 min
=
10.42000 max
=
10.29100 average
=
10.34267
mobilenetv2 min
=
8.61900 max
=
8.46900 average
=
8.54707
shufflenetv2 min
=
4.55200 max
=
4.41900 average
=
4.46477
squeezenet min
=
8.60000 max
=
7.85200 average
=
7.98407
--------------------------------------
run benchmark armv
8
run benchmark armv
7
--------------------------------------
PaddleLite Benchmark
Threads
=
1
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
165.3073 ms
--
mobilenet_v1 avg
=
306.0188 ms
--
mobilenet_v2 avg
=
195.1884 ms
--
shufflenet_v2 avg
=
99.3692 ms
--
squeezenet_v11 avg
=
156.6971 ms
mnasnet min
=
20.98300 max
=
20.81400 average
=
20.92527
mobilenetv1 min
=
33.19000 max
=
32.81700 average
=
33.08490
mobilenetv2 min
=
25.91400 max
=
25.61700 average
=
25.73097
shufflenetv2 min
=
11.14300 max
=
10.97600 average
=
11.06757
squeezenet min
=
19.31800 max
=
19.20000 average
=
19.26530
Threads
=
2
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
90.2290 ms
--
mobilenet_v1 avg
=
157.0007 ms
--
mobilenet_v2 avg
=
118.1607 ms
--
shufflenet_v2 avg
=
68.6804 ms
--
squeezenet_v11 avg
=
91.3090 ms
mnasnet min
=
12.59900 max
=
12.46600 average
=
12.52207
mobilenetv1 min
=
19.05800 max
=
18.94700 average
=
18.97897
mobilenetv2 min
=
15.28400 max
=
15.11300 average
=
15.19843
shufflenetv2 min
=
6.97000 max
=
6.81400 average
=
6.90863
squeezenet min
=
12.87900 max
=
12.12900 average
=
12.22530
Threads
=
4
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
179.9730 ms
--
mobilenet_v1 avg
=
204.0684 ms
--
mobilenet_v2 avg
=
181.6486 ms
--
shufflenet_v2 avg
=
123.2728 ms
--
squeezenet_v11 avg
=
412.9046 ms
mnasnet min
=
7.31400 max
=
7.12900 average
=
7.20357
mobilenetv1 min
=
11.44000 max
=
10.86900 average
=
10.94383
mobilenetv2 min
=
9.14900 max
=
9.03800 average
=
9.09907
shufflenetv2 min
=
4.60600 max
=
4.49400 average
=
4.53360
squeezenet min
=
8.27000 max
=
8.10600 average
=
8.19000
--------------------------------------
```
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录