mirror of
https://github.com/ARM-software/workload-automation.git
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66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
# Copyright 2013-2015 ARM Limited
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import os
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import re
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import time
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from wlauto import AndroidBenchmark, Parameter
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class Nenamark(AndroidBenchmark):
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name = 'nenamark'
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description = """
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NenaMark is an OpenGL-ES 2.0 graphics performance benchmark for Android
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devices.
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http://nena.se/nenamark_story
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From the website:
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The NenaMark2 benchmark scene averages about 45k triangles, with a span
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between 26k and 68k triangles. It averages 96 batches per frame and contains
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about 15 Mb of texture data (non-packed).
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"""
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package = 'se.nena.nenamark2'
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activity = 'se.nena.nenamark2.NenaMark2'
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parameters = [
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Parameter('duration', kind=int, default=120,
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description="""
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Number of seconds to wait before considering the benchmark
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finished
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"""),
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]
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regex = re.compile('.*NenaMark2.*Score.*?([0-9\.]*)fps')
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def run(self, context):
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time.sleep(5) # wait for nenamark menu to show up
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self.device.execute('input keyevent 23')
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time.sleep(self.duration)
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def update_result(self, context):
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super(Nenamark, self).update_result(context)
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with open(self.logcat_log) as fh:
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for line in fh:
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match = self.regex.search(line)
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if match:
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score = match.group(1)
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context.result.add_metric('nenamark score', score)
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break
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