mirror of
https://github.com/ARM-software/workload-automation.git
synced 2025-09-02 03:12:34 +01:00
Initial commit of open source Workload Automation.
This commit is contained in:
58
wlauto/workloads/nenamark/__init__.py
Normal file
58
wlauto/workloads/nenamark/__init__.py
Normal file
@@ -0,0 +1,58 @@
|
||||
# Copyright 2013-2015 ARM Limited
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
#
|
||||
|
||||
|
||||
import os
|
||||
import re
|
||||
import time
|
||||
|
||||
from wlauto import AndroidBenchmark
|
||||
|
||||
|
||||
class Nenamark(AndroidBenchmark):
|
||||
|
||||
name = 'nenamark'
|
||||
description = """
|
||||
NenaMark is an OpenGL-ES 2.0 graphics performance benchmark for Android
|
||||
devices.
|
||||
|
||||
http://nena.se/nenamark_story
|
||||
|
||||
From the website:
|
||||
|
||||
The NenaMark2 benchmark scene averages about 45k triangles, with a span
|
||||
between 26k and 68k triangles. It averages 96 batches per frame and contains
|
||||
about 15 Mb of texture data (non-packed).
|
||||
"""
|
||||
package = 'se.nena.nenamark2'
|
||||
activity = 'se.nena.nenamark2.NenaMark2'
|
||||
|
||||
regex = re.compile('.*NenaMark2.*Score.*?([0-9\.]*)fps')
|
||||
|
||||
def run(self, context):
|
||||
time.sleep(5) # wait for nenamark menu to show up
|
||||
self.device.execute('input keyevent 23')
|
||||
time.sleep(120) # wait two minutes for nenamark to complete
|
||||
|
||||
def update_result(self, context):
|
||||
super(Nenamark, self).update_result(context)
|
||||
with open(self.logcat_log) as fh:
|
||||
for line in fh:
|
||||
match = self.regex.search(line)
|
||||
if match:
|
||||
score = match.group(1)
|
||||
context.result.add_metric('nenamark score', score)
|
||||
break
|
||||
|
Reference in New Issue
Block a user