<?xml version="1.0"?>
<!--Phoronix Test Suite v10.0.0m1-->
<PhoronixTestSuite>
  <TestInformation>
    <Title>TensorFlow Lite</Title>
    <AppVersion>2020-08-23</AppVersion>
    <Description>This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time.</Description>
    <ResultScale>Microseconds</ResultScale>
    <Proportion>LIB</Proportion>
    <TimesToRun>3</TimesToRun>
  </TestInformation>
  <TestProfile>
    <Version>1.0.0</Version>
    <SupportedPlatforms>Linux</SupportedPlatforms>
    <SoftwareType>Benchmark</SoftwareType>
    <TestType>System</TestType>
    <License>Free</License>
    <Status>Verified</Status>
    <EnvironmentSize>1500</EnvironmentSize>
    <ProjectURL>https://www.tensorflow.org/lite/performance/measurement</ProjectURL>
    <InternalTags>SMP</InternalTags>
    <Maintainer>Michael Larabel</Maintainer>
  </TestProfile>
  <TestSettings>
    <Default>
      <Arguments>--warmup_runs=1  --num_runs=50 --min_secs=60</Arguments>
    </Default>
    <Option>
      <DisplayName>Model</DisplayName>
      <Identifier>model</Identifier>
      <ArgumentPrefix>--graph=</ArgumentPrefix>
      <Menu>
        <Entry>
          <Name>Mobilenet Float</Name>
          <Value>mobilenet_v1_1.0_224.tflite</Value>
        </Entry>
        <Entry>
          <Name>Mobilenet Quant</Name>
          <Value>mobilenet_v1_1.0_224_quant.tflite</Value>
        </Entry>
        <Entry>
          <Name>NASNet Mobile</Name>
          <Value>nasnet_mobile.tflite</Value>
        </Entry>
        <Entry>
          <Name>SqueezeNet</Name>
          <Value>squeezenet.tflite</Value>
        </Entry>
        <Entry>
          <Name>Inception ResNet V2</Name>
          <Value>inception_resnet_v2.tflite</Value>
        </Entry>
        <Entry>
          <Name>Inception V4</Name>
          <Value>inception_v4.tflite</Value>
        </Entry>
      </Menu>
    </Option>
  </TestSettings>
</PhoronixTestSuite>
