<?xml version="1.0"?>
<!--Phoronix Test Suite v8.6.0m0-->
<PhoronixTestSuite>
  <TestInformation>
    <Title>Caffe</Title>
    <AppVersion>2018-12-29</AppVersion>
    <Description>This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model.</Description>
    <ResultScale>Milli-Seconds</ResultScale>
    <Proportion>LIB</Proportion>
    <TimesToRun>3</TimesToRun>
  </TestInformation>
  <TestProfile>
    <Version>1.4.0</Version>
    <SupportedPlatforms>Linux</SupportedPlatforms>
    <SoftwareType>Benchmark</SoftwareType>
    <TestType>System</TestType>
    <License>Free</License>
    <Status>Verified</Status>
    <ExternalDependencies>build-utilities, cuda, python, blas-development, boost-development, atlas-development</ExternalDependencies>
    <EnvironmentSize>100</EnvironmentSize>
    <ProjectURL>http://caffe.berkeleyvision.org/</ProjectURL>
    <InternalTags>CUDA, SMP</InternalTags>
    <Maintainer>Michael Larabel</Maintainer>
  </TestProfile>
  <TestSettings>
    <Option>
      <DisplayName>Build</DisplayName>
      <Identifier>build</Identifier>
      <Menu>
        <Entry>
          <Name>CUDA AlexNet</Name>
          <Value>./build-nvidia/tools/caffe time --model=models/bvlc_alexnet/deploy.prototxt  -gpu 0 -iterations 1000</Value>
        </Entry>
        <Entry>
          <Name>CPU AlexNet</Name>
          <Value>./build-cpu/tools/caffe time --model=models/bvlc_alexnet/deploy.prototxt -iterations 200</Value>
        </Entry>
        <Entry>
          <Name>CUDA Googlenet</Name>
          <Value>./build-nvidia/tools/caffe time --model=models/bvlc_googlenet/deploy.prototxt  -gpu 0 -iterations 1000</Value>
        </Entry>
        <Entry>
          <Name>CPU Googlenet</Name>
          <Value>./build-cpu/tools/caffe time --model=models/bvlc_googlenet/deploy.prototxt -iterations 200</Value>
        </Entry>
      </Menu>
    </Option>
  </TestSettings>
</PhoronixTestSuite>
