assets/models_list/test_models.json

{
  "models": [
    {
      "name": "mobilenet_float",
      "testName": "MobileNet_FLOAT",
      "baselineSec": 0.060,
      "inputSize": [1, 224, 224, 3],
      "dataSize": 4,
      "inputOutputs": [
        {
          "input": "mobilenet_float/cup.input",
          "output": "mobilenet_float/cup.output"
        }
      ]
    },
    {
      "name": "mobilenet_quantized",
      "testName": "MobileNet_QUANT8",
      "baselineSec": 0.060,
      "inputSize": [1, 224, 224, 3],
      "dataSize": 1,
      "inputOutputs": [
        {
          "input": "mobilenet_quantized/cup.input",
          "output": "mobilenet_quantized/cup.output"
        }
      ]
    },
    {
      "name": "resnet_float",
      "baselineSec": 0.760,
      "inputSize": [1, 299, 299, 3],
      "dataSize": 4,
      "inputOutputs": [
        {
          "input": "resnet_float/cup.input",
          "output": "resnet_float/cup.output"
        }
      ]
    },
    {
      "name": "resnet_quantized",
      "baselineSec": 0.670,
      "inputSize": [1, 299, 299, 3],
      "dataSize": 1,
      "inputOutputs": [
        {
          "input": "resnet_quantized/cup.input",
          "output": "resnet_quantized/cup.output"
        }
      ]
    },
    {
      "name": "hdrnet_float",
      "testName": "HDRNet_FLOAT",
      "baselineSec": 0.011,
      "inputSize": [1, 256, 256, 3],
      "dataSize": 4,
      "inputOutputs": [
        {
          "input": "hdrnet_float/cup.input",
          "output": "hdrnet_float/cup.output"
        }
      ]
    },
    {
      "name": "hdrnet_quantized",
      "testName": "HDRNet_QUANT8",
      "baselineSec": 0.006,
      "inputSize": [1, 256, 256, 3],
      "dataSize": 1,
      "inputOutputs": [
        {
          "input": "hdrnet_quantized/cup.input",
          "output": "hdrnet_quantized/cup.output"
        }
      ]
    },
    {
      "name": "tts_float",
      "testName": "TTS_FLOAT",
      "baselineSec": 0.004,
      "inputSize": [1, 1, 1, 334],
      "dataSize": 4,
      "inputOutputs": [
        {
          "input": "tts_float/tts_float.input",
          "output": "tts_float/tts_float.output"
        }
      ]
    }
  ]
}