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https://github.com/ARM-software/workload-automation.git
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71 lines
3.2 KiB
Python
71 lines
3.2 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 xml.etree.ElementTree as ET
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from wlauto import AndroidUiAutoBenchmark
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class Cfbench(AndroidUiAutoBenchmark):
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name = 'cfbench'
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description = """
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CF-Bench is (mainly) CPU and memory benchmark tool specifically designed to
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be able to handle multi-core devices, produce a fairly stable score, and
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test both native as well managed code performance.
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https://play.google.com/store/apps/details?id=eu.chainfire.cfbench&hl=en
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From the website:
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It tests specific device properties you do not regularly see tested by other
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benchmarks, and runs in a set timeframe.
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It does produce some "final" scores, but as with every benchmark, you should
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take those with a grain of salt. It is simply not theoretically possible to
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produce a single number that accurately describes a device's performance.
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.. note:: This workload relies on the device being rooted
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"""
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package = 'eu.chainfire.cfbench'
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activity = '.MainActivity'
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run_timeout = 5 * 60 # seconds
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summary_metrics = ['overall_score']
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cfbench_params = ['java_mdflops', 'native_memory_read', 'java_msflops', 'native_disk_read', 'native_score', 'java_efficiency_memory_read',
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'native_mips', 'native_mdflops', 'java_score', 'native_memory_write', 'java_memory_write', 'native_mallocs', 'native_msflops',
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'java_mips', 'java_efficiency_mdflops', 'overall_score', 'java_memory_read', 'java_efficiency_memory_write', 'java_efficiency_mips',
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'java_efficiency_msflops', 'native_disk_write']
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def update_result(self, context):
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super(Cfbench, self).update_result(context)
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device_results_file = os.path.join(self.device.package_data_directory,
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self.package,
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'shared_prefs', 'eu.chainfire.cfbench_preferences.xml ')
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self.device.execute('cp {} {}'.format(device_results_file, self.device.working_directory), as_root=True)
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self.device.pull_file(os.path.join(self.device.working_directory, 'eu.chainfire.cfbench_preferences.xml'), context.output_directory)
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result_file = os.path.join(context.output_directory, 'eu.chainfire.cfbench_preferences.xml')
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tree = ET.parse(result_file)
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root = tree.getroot()
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for child in root:
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if child.attrib['name'] in self.cfbench_params:
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if '%' in child.text:
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value = float(child.text.split('%')[0]) / 100
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else:
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value = int(child.text)
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context.result.add_metric(child.attrib['name'], value)
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