Skip to content

124014 - rpi5 tflite

Summary: Pipeline succeeded and valid report was generated.

Model Details

  • model name : deeplab_v3_mobilenetv2_05_16_512_asppv1_int8.tflite
  • model url : Download here

Logs Details

user.log
Warning: Permanently added '192.168.2.12' (ED25519) to the list of known hosts.
 
INFO: Created TensorFlow Lite XNNPACK delegate for CPU. 
WARNING: Attempting to use a delegate that only supports static-sized tensors with a graph that has dynamic-sized tensors (tensor#194 is a dynamic-sized tensor). 
error.log

Report Details

report.json
{
  "GFLOPs": null,
  "accuracy": null,
  "ambiant_temperature": null,
  "benchmark_type": "TYPE1",
  "date": "2026-04-14T22:30:13.",
  "energy_efficiency": null,
  "flash_size": 62006341632,
  "flash_usage": 0.004572525850383006,
  "inference_engine": "tflite",
  "inference_latency": {
    "latency_per_layers": [
      {
        "layer_name": " [tfl.quantize]:0",
        "max": 592.16,
        "mean": 592.16,
        "min": 592.16,
        "std": 0.0
      },
      {
        "layer_name": " [model/Conv1_relu/Relu6;model/bn_Conv1/FusedBatchNormV3;model/expanded_conv_depthwise_BN/FusedBatchNormV3;model/expanded_conv_depthwise/depthwise;model/block_5_project/Conv2D;model/Conv1/Conv2D]:1",
        "max": 3619.96,
        "mean": 3619.96,
        "min": 3619.96,
        "std": 0.0
      },
      {
        "layer_name": " [model/expanded_conv_depthwise_relu/Relu6;model/expanded_conv_depthwise_BN/FusedBatchNormV3;model/expanded_conv_depthwise/depthwise;model/block_5_project/Conv2D]:2",
        "max": 775.1400000000001,
        "mean": 775.1400000000001,
        "min": 775.1400000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/expanded_conv_project_BN/FusedBatchNormV3;model/expanded_conv_project/Conv2D1]:3",
        "max": 857.1,
        "mean": 857.1,
        "min": 857.1,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_1_expand_relu/Relu6;model/block_1_expand_BN/FusedBatchNormV3;model/block_1_depthwise_BN/FusedBatchNormV3;model/block_1_depthwise/depthwise;model/block_12_project/Conv2D;model/block_1_expand/Conv2D]:4",
        "max": 3485.1800000000003,
        "mean": 3485.1800000000003,
        "min": 3485.1800000000003,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_1_pad/Pad]:5",
        "max": 7470.32,
        "mean": 7470.32,
        "min": 7470.32,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_1_depthwise_relu/Relu6;model/block_1_depthwise_BN/FusedBatchNormV3;model/block_1_depthwise/depthwise;model/block_12_project/Conv2D]:6",
        "max": 857.94,
        "mean": 857.94,
        "min": 857.94,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_1_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_1_project/Conv2D1]:7",
        "max": 620.9599999999999,
        "mean": 620.9599999999999,
        "min": 620.9599999999999,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_2_expand_relu/Relu6;model/block_2_expand_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_2_expand/Conv2D]:8",
        "max": 1512.0,
        "mean": 1512.0,
        "min": 1512.0,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_2_depthwise_relu/Relu6;model/block_2_depthwise_BN/FusedBatchNormV3;model/block_2_depthwise/depthwise;model/block_6_depthwise/depthwise]:9",
        "max": 907.7800000000001,
        "mean": 907.7800000000001,
        "min": 907.7800000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_2_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_2_project/Conv2D1]:10",
        "max": 896.8000000000001,
        "mean": 896.8000000000001,
        "min": 896.8000000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_2_add/add]:11",
        "max": 362.64000000000004,
        "mean": 362.64000000000004,
        "min": 362.64000000000004,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_3_expand_relu/Relu6;model/block_3_expand_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_3_expand/Conv2D]:12",
        "max": 1418.8,
        "mean": 1418.8,
        "min": 1418.8,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_3_pad/Pad]:13",
        "max": 3562.68,
        "mean": 3562.68,
        "min": 3562.68,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_3_depthwise_relu/Relu6;model/block_3_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_3_depthwise/depthwise]:14",
        "max": 435.09999999999997,
        "mean": 435.09999999999997,
        "min": 435.09999999999997,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_3_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_3_project/Conv2D1]:15",
        "max": 278.84,
        "mean": 278.84,
        "min": 278.84,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_4_expand_relu/Relu6;model/block_4_expand_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_4_expand/Conv2D]:16",
        "max": 400.5,
        "mean": 400.5,
        "min": 400.5,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_4_depthwise_relu/Relu6;model/block_4_depthwise_BN/FusedBatchNormV3;model/block_4_depthwise/depthwise;model/block_6_depthwise/depthwise]:17",
        "max": 227.66,
        "mean": 227.66,
        "min": 227.66,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_4_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_4_project/Conv2D1]:18",
        "max": 174.34,
        "mean": 174.34,
        "min": 174.34,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_4_add/add]:19",
        "max": 95.28,
        "mean": 95.28,
        "min": 95.28,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_5_expand_relu/Relu6;model/block_5_expand_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_5_expand/Conv2D]:20",
        "max": 350.64,
        "mean": 350.64,
        "min": 350.64,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_5_depthwise_relu/Relu6;model/block_5_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_5_depthwise/depthwise]:21",
        "max": 207.92,
        "mean": 207.92,
        "min": 207.92,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_5_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D1]:22",
        "max": 170.06,
        "mean": 170.06,
        "min": 170.06,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_5_add/add]:23",
        "max": 93.32,
        "mean": 93.32,
        "min": 93.32,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_6_expand_relu/Relu6;model/block_6_expand_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_6_expand/Conv2D]:24",
        "max": 353.58,
        "mean": 353.58,
        "min": 353.58,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_6_pad/Pad]:25",
        "max": 901.46,
        "mean": 901.46,
        "min": 901.46,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_6_depthwise_relu/Relu6;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise]:26",
        "max": 87.06,
        "mean": 87.06,
        "min": 87.06,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_6_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_6_project/Conv2D1]:27",
        "max": 70.14,
        "mean": 70.14,
        "min": 70.14,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_7_expand_relu/Relu6;model/block_7_expand_BN/FusedBatchNormV3;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_7_expand/Conv2D]:28",
        "max": 210.96,
        "mean": 210.96,
        "min": 210.96,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_7_depthwise_relu/Relu6;model/block_7_depthwise_BN/FusedBatchNormV3;model/block_7_depthwise/depthwise;model/block_10_depthwise/depthwise]:29",
        "max": 106.03999999999999,
        "mean": 106.03999999999999,
        "min": 106.03999999999999,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_7_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_7_project/Conv2D1]:30",
        "max": 143.78,
        "mean": 143.78,
        "min": 143.78,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_7_add/add]:31",
        "max": 46.68,
        "mean": 46.68,
        "min": 46.68,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_8_expand_relu/Relu6;model/block_8_expand_BN/FusedBatchNormV3;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_8_expand/Conv2D]:32",
        "max": 217.01999999999998,
        "mean": 217.01999999999998,
        "min": 217.01999999999998,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_8_depthwise_relu/Relu6;model/block_8_depthwise_BN/FusedBatchNormV3;model/block_8_depthwise/depthwise;model/block_10_depthwise/depthwise]:33",
        "max": 105.06,
        "mean": 105.06,
        "min": 105.06,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_8_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_8_project/Conv2D1]:34",
        "max": 114.36,
        "mean": 114.36,
        "min": 114.36,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_8_add/add]:35",
        "max": 47.260000000000005,
        "mean": 47.260000000000005,
        "min": 47.260000000000005,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_9_expand_relu/Relu6;model/block_9_expand_BN/FusedBatchNormV3;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_9_expand/Conv2D]:36",
        "max": 208.9,
        "mean": 208.9,
        "min": 208.9,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_9_depthwise_relu/Relu6;model/block_9_depthwise_BN/FusedBatchNormV3;model/block_9_depthwise/depthwise;model/block_10_depthwise/depthwise]:37",
        "max": 104.52,
        "mean": 104.52,
        "min": 104.52,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_9_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D1]:38",
        "max": 114.28,
        "mean": 114.28,
        "min": 114.28,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_9_add/add]:39",
        "max": 46.36,
        "mean": 46.36,
        "min": 46.36,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_10_expand_relu/Relu6;model/block_10_expand_BN/FusedBatchNormV3;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_10_expand/Conv2D]:40",
        "max": 210.76,
        "mean": 210.76,
        "min": 210.76,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_10_depthwise_relu/Relu6;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise]:41",
        "max": 104.36,
        "mean": 104.36,
        "min": 104.36,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_10_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_10_project/Conv2D1]:42",
        "max": 168.34,
        "mean": 168.34,
        "min": 168.34,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_11_expand_relu/Relu6;model/block_11_expand_BN/FusedBatchNormV3;model/block_11_depthwise_BN/FusedBatchNormV3;model/block_11_depthwise/depthwise;model/block_13_expand/Conv2D;model/block_11_expand/Conv2D]:43",
        "max": 371.82,
        "mean": 371.82,
        "min": 371.82,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_11_depthwise_relu/Relu6;model/block_11_depthwise_BN/FusedBatchNormV3;model/block_11_depthwise/depthwise;model/block_13_expand/Conv2D]:44",
        "max": 155.79999999999998,
        "mean": 155.79999999999998,
        "min": 155.79999999999998,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_11_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_11_project/Conv2D1]:45",
        "max": 234.9,
        "mean": 234.9,
        "min": 234.9,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_11_add/add]:46",
        "max": 69.58,
        "mean": 69.58,
        "min": 69.58,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_12_expand_relu/Relu6;model/block_12_expand_BN/FusedBatchNormV3;model/block_11_depthwise_BN/FusedBatchNormV3;model/block_11_depthwise/depthwise;model/block_13_expand/Conv2D;model/block_12_expand/Conv2D]:47",
        "max": 370.09999999999997,
        "mean": 370.09999999999997,
        "min": 370.09999999999997,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_12_depthwise_relu/Relu6;model/block_12_depthwise_BN/FusedBatchNormV3;model/block_12_depthwise/depthwise;model/block_13_expand/Conv2D]:48",
        "max": 155.51999999999998,
        "mean": 155.51999999999998,
        "min": 155.51999999999998,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_12_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D1]:49",
        "max": 233.68,
        "mean": 233.68,
        "min": 233.68,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_12_add/add]:50",
        "max": 68.68,
        "mean": 68.68,
        "min": 68.68,
        "std": 0.0
      },
      {
        "layer_name": " [model/block_13_expand_relu/Relu6;model/block_13_expand_BN/FusedBatchNormV3;model/block_11_depthwise_BN/FusedBatchNormV3;model/block_11_depthwise/depthwise;model/block_13_expand/Conv2D]:51",
        "max": 379.34000000000003,
        "mean": 379.34000000000003,
        "min": 379.34000000000003,
        "std": 0.0
      },
      {
        "layer_name": " [model/activation/Relu;model/batch_normalization/FusedBatchNormV3;conv2d/bias;model/conv2d/BiasAdd;model/conv2d_5/Conv2D;model/conv2d/Conv2D1]:52",
        "max": 1255.3799999999999,
        "mean": 1255.3799999999999,
        "min": 1255.3799999999999,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_1/Conv2D/SpaceToBatchND]:53",
        "max": 290.28,
        "mean": 290.28,
        "min": 290.28,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_1/Conv2D1]:54",
        "max": 15638.400000000001,
        "mean": 15638.400000000001,
        "min": 15638.400000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_1/Conv2D/BatchToSpaceND]:55",
        "max": 77.10000000000001,
        "mean": 77.10000000000001,
        "min": 77.10000000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_1/BiasAdd]:56",
        "max": 345.62,
        "mean": 345.62,
        "min": 345.62,
        "std": 0.0
      },
      {
        "layer_name": " [model/batch_normalization_1/FusedBatchNormV32]:57",
        "max": 254.04,
        "mean": 254.04,
        "min": 254.04,
        "std": 0.0
      },
      {
        "layer_name": " [model/activation_1/Relu;model/batch_normalization_1/FusedBatchNormV3]:58",
        "max": 342.42,
        "mean": 342.42,
        "min": 342.42,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_2/Conv2D/SpaceToBatchND]:59",
        "max": 291.82000000000005,
        "mean": 291.82000000000005,
        "min": 291.82000000000005,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_2/Conv2D1]:60",
        "max": 15541.1,
        "mean": 15541.1,
        "min": 15541.1,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_2/Conv2D/BatchToSpaceND]:61",
        "max": 69.64,
        "mean": 69.64,
        "min": 69.64,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_2/BiasAdd]:62",
        "max": 344.58,
        "mean": 344.58,
        "min": 344.58,
        "std": 0.0
      },
      {
        "layer_name": " [model/batch_normalization_2/FusedBatchNormV32]:63",
        "max": 253.46,
        "mean": 253.46,
        "min": 253.46,
        "std": 0.0
      },
      {
        "layer_name": " [model/activation_2/Relu;model/batch_normalization_2/FusedBatchNormV3]:64",
        "max": 342.88,
        "mean": 342.88,
        "min": 342.88,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_3/Conv2D/SpaceToBatchND]:65",
        "max": 521.64,
        "mean": 521.64,
        "min": 521.64,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_3/Conv2D1]:66",
        "max": 19596.3,
        "mean": 19596.3,
        "min": 19596.3,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_3/Conv2D/BatchToSpaceND]:67",
        "max": 79.8,
        "mean": 79.8,
        "min": 79.8,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_3/BiasAdd]:68",
        "max": 362.65999999999997,
        "mean": 362.65999999999997,
        "min": 362.65999999999997,
        "std": 0.0
      },
      {
        "layer_name": " [model/batch_normalization_3/FusedBatchNormV32]:69",
        "max": 258.18,
        "mean": 258.18,
        "min": 258.18,
        "std": 0.0
      },
      {
        "layer_name": " [model/activation_3/Relu;model/batch_normalization_3/FusedBatchNormV3]:70",
        "max": 346.54,
        "mean": 346.54,
        "min": 346.54,
        "std": 0.0
      },
      {
        "layer_name": " [model/global_average_pooling2d/Mean]:71",
        "max": 6374.139999999999,
        "mean": 6374.139999999999,
        "min": 6374.139999999999,
        "std": 0.0
      },
      {
        "layer_name": " [model/reshape/Shape]:72",
        "max": 1.0399999999999998,
        "mean": 1.0399999999999998,
        "min": 1.0399999999999998,
        "std": 0.0
      },
      {
        "layer_name": " [model/reshape/strided_slice]:73",
        "max": 0.82,
        "mean": 0.82,
        "min": 0.82,
        "std": 0.0
      },
      {
        "layer_name": " [model/reshape/Reshape/shape]:74",
        "max": 3.5599999999999996,
        "mean": 3.5599999999999996,
        "min": 3.5599999999999996,
        "std": 0.0
      },
      {
        "layer_name": " [model/reshape/Reshape]:75",
        "max": 2.12,
        "mean": 2.12,
        "min": 2.12,
        "std": 0.0
      },
      {
        "layer_name": " [model/activation_4/Relu;model/batch_normalization_4/FusedBatchNormV3;conv2d_4/bias;model/conv2d_4/BiasAdd;model/conv2d_5/Conv2D;model/conv2d_4/Conv2D1]:76",
        "max": 43.18,
        "mean": 43.18,
        "min": 43.18,
        "std": 0.0
      },
      {
        "layer_name": " [model/up_sampling2d/resize/ResizeBilinear]:77",
        "max": 1478.58,
        "mean": 1478.58,
        "min": 1478.58,
        "std": 0.0
      },
      {
        "layer_name": " [model/concatenate/concat]:78",
        "max": 786.7800000000001,
        "mean": 786.7800000000001,
        "min": 786.7800000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/activation_5/Relu;model/batch_normalization_5/FusedBatchNormV3;conv2d_5/bias;model/conv2d_5/BiasAdd;model/conv2d_5/Conv2D1]:79",
        "max": 9242.46,
        "mean": 9242.46,
        "min": 9242.46,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_6/BiasAdd;model/conv2d_6/Conv2D;conv2d_6/bias1]:80",
        "max": 633.14,
        "mean": 633.14,
        "min": 633.14,
        "std": 0.0
      },
      {
        "layer_name": " [StatefulPartitionedCall:01]:81",
        "max": 31797.7,
        "mean": 31797.7,
        "min": 31797.7,
        "std": 0.0
      },
      {
        "layer_name": " [StatefulPartitionedCall:0]:82",
        "max": 2720.14,
        "mean": 2720.14,
        "min": 2720.14,
        "std": 0.0
      }
    ],
    "max": 175037.0,
    "mean": 144069.0,
    "min": 131683.0,
    "std": 9350.0,
    "troughput": null
  },
  "load_accelerator": null,
  "load_cpu": 58.92727272727273,
  "model_file_name": "deeplab_v3_mobilenetv2_05_16_512_asppv1_int8.tflite",
  "model_size": 2835256,
  "nb_inference": 50,
  "nb_parameters_model": null,
  "postprocess_time": {
    "max": null,
    "mean": null,
    "min": null,
    "std": null
  },
  "power_consumption": null,
  "preprocess_time": {
    "max": null,
    "mean": null,
    "min": null,
    "std": null
  },
  "ram_peak_usage": 0.969122498010769,
  "ram_size": 4241719296,
  "target": "rpi5",
  "target_id": "rpi5-0000-0001",
  "temperature": null,
  "version": 0,
  "version_tag": ""
}