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5646128f
编写于
3月 20, 2020
作者:
C
cc
提交者:
GitHub
3月 20, 2020
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Update docs for benchmark_toos, test=develop, test=document_fix (#3237)
上级
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+32
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docs/benchmark/benchmark_tools.md
docs/benchmark/benchmark_tools.md
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docs/benchmark/benchmark_tools.md
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...
@@ -135,53 +135,53 @@ sh benchmark.sh ./benchmark_bin_v8 ./benchmark_models result_armv8.txt true
...
@@ -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。
> 不同手机,不同版本,测试模型的性能数据不同。
```
shell
```
shell
run benchmark armv
7
run benchmark armv
8
--------------------------------------
--------------------------------------
PaddleLite Benchmark
PaddleLite Benchmark
Threads
=
1
Warmup
=
10
Repeats
=
30
Threads
=
1
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
159.8427 ms
mnasnet min
=
19.83500 max
=
19.38500 average
=
19.65503
--
mobilenet_v1 avg
=
235.0072 ms
mobilenetv1 min
=
32.00600 max
=
31.56900 average
=
31.81983
--
mobilenet_v2 avg
=
173.0387 ms
mobilenetv2 min
=
22.37900 max
=
22.08700 average
=
22.28623
--
shufflenet_v2 avg
=
76.0040 ms
shufflenetv2 min
=
10.80400 max
=
10.62900 average
=
10.68890
--
squeezenet_v11 avg
=
164.2957 ms
squeezenet min
=
17.67400 max
=
17.47900 average
=
17.57677
Threads
=
2
Warmup
=
10
Repeats
=
30
Threads
=
2
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
83.1287 ms
mnasnet min
=
11.85600 max
=
11.72000 average
=
11.77127
--
mobilenet_v1 avg
=
121.6029 ms
mobilenetv1 min
=
18.75000 max
=
18.64300 average
=
18.70593
--
mobilenet_v2 avg
=
86.6175 ms
mobilenetv2 min
=
14.05100 max
=
13.59900 average
=
13.71450
--
shufflenet_v2 avg
=
41.5761 ms
shufflenetv2 min
=
6.67200 max
=
6.58300 average
=
6.63400
--
squeezenet_v11 avg
=
87.8678 ms
squeezenet min
=
12.07100 max
=
11.33400 average
=
11.41253
Threads
=
4
Warmup
=
10
Repeats
=
30
Threads
=
4
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
73.3880 ms
mnasnet min
=
7.19300 max
=
7.02600 average
=
7.08480
--
mobilenet_v1 avg
=
119.0739 ms
mobilenetv1 min
=
10.42000 max
=
10.29100 average
=
10.34267
--
mobilenet_v2 avg
=
85.3050 ms
mobilenetv2 min
=
8.61900 max
=
8.46900 average
=
8.54707
--
shufflenet_v2 avg
=
38.0762 ms
shufflenetv2 min
=
4.55200 max
=
4.41900 average
=
4.46477
--
squeezenet_v11 avg
=
64.2201 ms
squeezenet min
=
8.60000 max
=
7.85200 average
=
7.98407
--------------------------------------
--------------------------------------
run benchmark armv
8
run benchmark armv
7
--------------------------------------
--------------------------------------
PaddleLite Benchmark
PaddleLite Benchmark
Threads
=
1
Warmup
=
10
Repeats
=
30
Threads
=
1
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
165.3073 ms
mnasnet min
=
20.98300 max
=
20.81400 average
=
20.92527
--
mobilenet_v1 avg
=
306.0188 ms
mobilenetv1 min
=
33.19000 max
=
32.81700 average
=
33.08490
--
mobilenet_v2 avg
=
195.1884 ms
mobilenetv2 min
=
25.91400 max
=
25.61700 average
=
25.73097
--
shufflenet_v2 avg
=
99.3692 ms
shufflenetv2 min
=
11.14300 max
=
10.97600 average
=
11.06757
--
squeezenet_v11 avg
=
156.6971 ms
squeezenet min
=
19.31800 max
=
19.20000 average
=
19.26530
Threads
=
2
Warmup
=
10
Repeats
=
30
Threads
=
2
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
90.2290 ms
mnasnet min
=
12.59900 max
=
12.46600 average
=
12.52207
--
mobilenet_v1 avg
=
157.0007 ms
mobilenetv1 min
=
19.05800 max
=
18.94700 average
=
18.97897
--
mobilenet_v2 avg
=
118.1607 ms
mobilenetv2 min
=
15.28400 max
=
15.11300 average
=
15.19843
--
shufflenet_v2 avg
=
68.6804 ms
shufflenetv2 min
=
6.97000 max
=
6.81400 average
=
6.90863
--
squeezenet_v11 avg
=
91.3090 ms
squeezenet min
=
12.87900 max
=
12.12900 average
=
12.22530
Threads
=
4
Warmup
=
10
Repeats
=
30
Threads
=
4
Warmup
=
10
Repeats
=
30
--
mnasnet avg
=
179.9730 ms
mnasnet min
=
7.31400 max
=
7.12900 average
=
7.20357
--
mobilenet_v1 avg
=
204.0684 ms
mobilenetv1 min
=
11.44000 max
=
10.86900 average
=
10.94383
--
mobilenet_v2 avg
=
181.6486 ms
mobilenetv2 min
=
9.14900 max
=
9.03800 average
=
9.09907
--
shufflenet_v2 avg
=
123.2728 ms
shufflenetv2 min
=
4.60600 max
=
4.49400 average
=
4.53360
--
squeezenet_v11 avg
=
412.9046 ms
squeezenet min
=
8.27000 max
=
8.10600 average
=
8.19000
--------------------------------------
--------------------------------------
```
```
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