Skip to content

123920 - rpi4b tflite

Summary: Pipeline succeeded and valid report was generated.

Model Details

  • model name : movenet_lightning_heatmaps_256_int8_pt.tflite
  • model url : Download here

Logs Details

user.log
Warning: Permanently added '192.168.2.41' (ED25519) to the list of known hosts. 
Run command : benchmark_model --graph=movenet_lightning_heatmaps_256_int8_pt.tflite --num_threads=4  --enable_op_profiling=true --report_peak_memory_footprint=true  --profiling_output_csv_file=log.csv --op_profiling_output_mode=csv
INFO: Created TensorFlow Lite XNNPACK delegate for CPU. 
End of command : benchmark_model
error.log

Report Details

report.json
{
  "GFLOPs": null,
  "accuracy": null,
  "ambiant_temperature": null,
  "benchmark_type": "TYPE1",
  "date": "2026-04-14T23:05:51.",
  "energy_efficiency": null,
  "flash_size": 30700687360,
  "flash_usage": 0.007867915045925539,
  "inference_engine": "tflite",
  "inference_latency": {
    "latency_per_layers": [
      {
        "layer_name": " [tfl.quantize]:0",
        "max": 300.94,
        "mean": 300.94,
        "min": 300.94,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu/Relu6;model/conv2d/BiasAdd;model/depthwise_conv2d_18/depthwise;model/conv2d/Conv2D;conv2d/bias]:1",
        "max": 3267.54,
        "mean": 3267.54,
        "min": 3267.54,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu/Relu;model/depthwise_conv2d/BiasAdd;model/depthwise_conv2d_18/depthwise;model/depthwise_conv2d/depthwise;depthwise_conv2d/bias]:2",
        "max": 967.26,
        "mean": 967.26,
        "min": 967.26,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value/clip_by_value/Minimum]:3",
        "max": 309.28,
        "mean": 309.28,
        "min": 309.28,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value/clip_by_value;model/depthwise_conv2d_18/depthwise]:4",
        "max": 5954.780000000001,
        "mean": 5954.780000000001,
        "min": 5954.780000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_1/BiasAdd;model/conv2d_1/Conv2D;conv2d_1/bias1]:5",
        "max": 2160.86,
        "mean": 2160.86,
        "min": 2160.86,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_2/Relu6;model/conv2d_2/BiasAdd;model/conv2d_42/Conv2D;model/conv2d_2/Conv2D;conv2d_2/bias]:6",
        "max": 4212.6,
        "mean": 4212.6,
        "min": 4212.6,
        "std": 0.0
      },
      {
        "layer_name": " [model/zero_padding2d/Pad]:7",
        "max": 6586.9400000000005,
        "mean": 6586.9400000000005,
        "min": 6586.9400000000005,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_1/Relu;model/depthwise_conv2d_1/BiasAdd;model/conv2d_42/Conv2D;model/depthwise_conv2d_1/depthwise;depthwise_conv2d_1/bias]:8",
        "max": 1911.96,
        "mean": 1911.96,
        "min": 1911.96,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_1/clip_by_value/Minimum]:9",
        "max": 162.70000000000002,
        "mean": 162.70000000000002,
        "min": 162.70000000000002,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_1/clip_by_value;model/conv2d_42/Conv2D]:10",
        "max": 4464.62,
        "mean": 4464.62,
        "min": 4464.62,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_3/BiasAdd;model/depthwise_conv2d_20/depthwise;model/conv2d_3/Conv2D;conv2d_3/bias1]:11",
        "max": 1944.34,
        "mean": 1944.34,
        "min": 1944.34,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_4/Relu6;model/conv2d_4/BiasAdd;model/depthwise_conv2d_3/depthwise;model/conv2d_4/Conv2D;conv2d_4/bias]:12",
        "max": 1897.74,
        "mean": 1897.74,
        "min": 1897.74,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_2/Relu;model/depthwise_conv2d_2/BiasAdd;model/depthwise_conv2d_3/depthwise;model/depthwise_conv2d_2/depthwise;depthwise_conv2d_2/bias]:13",
        "max": 1287.9799999999998,
        "mean": 1287.9799999999998,
        "min": 1287.9799999999998,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_2/clip_by_value/Minimum]:14",
        "max": 243.66,
        "mean": 243.66,
        "min": 243.66,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_2/clip_by_value;model/depthwise_conv2d_3/depthwise]:15",
        "max": 6691.12,
        "mean": 6691.12,
        "min": 6691.12,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_5/BiasAdd;model/depthwise_conv2d_20/depthwise;model/conv2d_5/Conv2D;conv2d_5/bias1]:16",
        "max": 1546.18,
        "mean": 1546.18,
        "min": 1546.18,
        "std": 0.0
      },
      {
        "layer_name": " [model/add/add]:17",
        "max": 246.62,
        "mean": 246.62,
        "min": 246.62,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_35/BiasAdd;model/depthwise_conv2d_20/depthwise;model/conv2d_35/Conv2D;conv2d_35/bias1]:18",
        "max": 646.1,
        "mean": 646.1,
        "min": 646.1,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_6/Relu6;model/conv2d_6/BiasAdd;model/depthwise_conv2d_3/depthwise;model/conv2d_6/Conv2D;conv2d_6/bias]:19",
        "max": 1923.52,
        "mean": 1923.52,
        "min": 1923.52,
        "std": 0.0
      },
      {
        "layer_name": " [model/zero_padding2d_1/Pad]:20",
        "max": 2489.52,
        "mean": 2489.52,
        "min": 2489.52,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_3/Relu;model/depthwise_conv2d_3/BiasAdd;model/depthwise_conv2d_3/depthwise;depthwise_conv2d_3/bias]:21",
        "max": 1437.02,
        "mean": 1437.02,
        "min": 1437.02,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_3/clip_by_value/Minimum]:22",
        "max": 46.440000000000005,
        "mean": 46.440000000000005,
        "min": 46.440000000000005,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_3/clip_by_value;model/depthwise_conv2d_3/depthwise]:23",
        "max": 1673.4,
        "mean": 1673.4,
        "min": 1673.4,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_7/BiasAdd;model/depthwise_conv2d_18/depthwise;model/conv2d_7/Conv2D;conv2d_7/bias1]:24",
        "max": 864.02,
        "mean": 864.02,
        "min": 864.02,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_8/Relu6;model/conv2d_8/BiasAdd;model/depthwise_conv2d_6/depthwise;model/conv2d_8/Conv2D;conv2d_8/bias]:25",
        "max": 684.4200000000001,
        "mean": 684.4200000000001,
        "min": 684.4200000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_4/Relu;model/depthwise_conv2d_4/BiasAdd;model/depthwise_conv2d_6/depthwise;model/depthwise_conv2d_4/depthwise;depthwise_conv2d_4/bias]:26",
        "max": 621.72,
        "mean": 621.72,
        "min": 621.72,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_4/clip_by_value/Minimum]:27",
        "max": 41.14,
        "mean": 41.14,
        "min": 41.14,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_4/clip_by_value;model/depthwise_conv2d_6/depthwise]:28",
        "max": 2250.7799999999997,
        "mean": 2250.7799999999997,
        "min": 2250.7799999999997,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_9/BiasAdd;model/depthwise_conv2d_18/depthwise;model/conv2d_9/Conv2D;conv2d_9/bias1]:29",
        "max": 835.92,
        "mean": 835.92,
        "min": 835.92,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_1/add]:30",
        "max": 119.9,
        "mean": 119.9,
        "min": 119.9,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_10/Relu6;model/conv2d_10/BiasAdd;model/depthwise_conv2d_6/depthwise;model/conv2d_10/Conv2D;conv2d_10/bias]:31",
        "max": 1016.7600000000001,
        "mean": 1016.7600000000001,
        "min": 1016.7600000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_5/Relu;model/depthwise_conv2d_5/BiasAdd;model/depthwise_conv2d_6/depthwise;model/depthwise_conv2d_5/depthwise;depthwise_conv2d_5/bias]:32",
        "max": 687.02,
        "mean": 687.02,
        "min": 687.02,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_5/clip_by_value/Minimum]:33",
        "max": 41.480000000000004,
        "mean": 41.480000000000004,
        "min": 41.480000000000004,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_5/clip_by_value;model/depthwise_conv2d_6/depthwise]:34",
        "max": 2204.6800000000003,
        "mean": 2204.6800000000003,
        "min": 2204.6800000000003,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_11/BiasAdd;model/depthwise_conv2d_18/depthwise;model/conv2d_11/Conv2D;conv2d_11/bias1]:35",
        "max": 1076.52,
        "mean": 1076.52,
        "min": 1076.52,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_2/add]:36",
        "max": 84.24,
        "mean": 84.24,
        "min": 84.24,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_12/Relu6;model/conv2d_12/BiasAdd;model/depthwise_conv2d_6/depthwise;model/conv2d_12/Conv2D;conv2d_12/bias]:37",
        "max": 851.1600000000001,
        "mean": 851.1600000000001,
        "min": 851.1600000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/zero_padding2d_2/Pad]:38",
        "max": 842.4399999999999,
        "mean": 842.4399999999999,
        "min": 842.4399999999999,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_6/Relu;model/depthwise_conv2d_6/BiasAdd;model/depthwise_conv2d_6/depthwise;depthwise_conv2d_6/bias]:39",
        "max": 683.92,
        "mean": 683.92,
        "min": 683.92,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_6/clip_by_value/Minimum]:40",
        "max": 14.58,
        "mean": 14.58,
        "min": 14.58,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_6/clip_by_value;model/depthwise_conv2d_6/depthwise]:41",
        "max": 552.76,
        "mean": 552.76,
        "min": 552.76,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_13/BiasAdd;model/depthwise_conv2d_17/depthwise;model/conv2d_13/Conv2D;conv2d_13/bias1]:42",
        "max": 715.68,
        "mean": 715.68,
        "min": 715.68,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_14/Relu6;model/conv2d_14/BiasAdd;model/depthwise_conv2d_10/depthwise;model/conv2d_14/Conv2D;conv2d_14/bias]:43",
        "max": 630.5600000000001,
        "mean": 630.5600000000001,
        "min": 630.5600000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_7/Relu;model/depthwise_conv2d_7/BiasAdd;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_7/depthwise;depthwise_conv2d_7/bias]:44",
        "max": 334.5,
        "mean": 334.5,
        "min": 334.5,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_7/clip_by_value/Minimum]:45",
        "max": 18.700000000000003,
        "mean": 18.700000000000003,
        "min": 18.700000000000003,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_7/clip_by_value;model/depthwise_conv2d_10/depthwise]:46",
        "max": 1107.44,
        "mean": 1107.44,
        "min": 1107.44,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_15/BiasAdd;model/depthwise_conv2d_17/depthwise;model/conv2d_15/Conv2D;conv2d_15/bias1]:47",
        "max": 532.42,
        "mean": 532.42,
        "min": 532.42,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_3/add]:48",
        "max": 43.58,
        "mean": 43.58,
        "min": 43.58,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_16/Relu6;model/conv2d_16/BiasAdd;model/depthwise_conv2d_10/depthwise;model/conv2d_16/Conv2D;conv2d_16/bias]:49",
        "max": 568.84,
        "mean": 568.84,
        "min": 568.84,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_8/Relu;model/depthwise_conv2d_8/BiasAdd;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_8/depthwise;depthwise_conv2d_8/bias]:50",
        "max": 240.7,
        "mean": 240.7,
        "min": 240.7,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_8/clip_by_value/Minimum]:51",
        "max": 16.1,
        "mean": 16.1,
        "min": 16.1,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_8/clip_by_value;model/depthwise_conv2d_10/depthwise]:52",
        "max": 1134.34,
        "mean": 1134.34,
        "min": 1134.34,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_17/BiasAdd;model/depthwise_conv2d_17/depthwise;model/conv2d_17/Conv2D;conv2d_17/bias1]:53",
        "max": 796.92,
        "mean": 796.92,
        "min": 796.92,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_4/add]:54",
        "max": 42.98,
        "mean": 42.98,
        "min": 42.98,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_18/Relu6;model/conv2d_18/BiasAdd;model/depthwise_conv2d_10/depthwise;model/conv2d_18/Conv2D;conv2d_18/bias]:55",
        "max": 515.64,
        "mean": 515.64,
        "min": 515.64,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_9/Relu;model/depthwise_conv2d_9/BiasAdd;model/depthwise_conv2d_10/depthwise;model/depthwise_conv2d_9/depthwise;depthwise_conv2d_9/bias]:56",
        "max": 200.66,
        "mean": 200.66,
        "min": 200.66,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_9/clip_by_value/Minimum]:57",
        "max": 16.94,
        "mean": 16.94,
        "min": 16.94,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_9/clip_by_value;model/depthwise_conv2d_10/depthwise]:58",
        "max": 1101.04,
        "mean": 1101.04,
        "min": 1101.04,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_19/BiasAdd;model/depthwise_conv2d_17/depthwise;model/conv2d_19/Conv2D;conv2d_19/bias1]:59",
        "max": 380.38,
        "mean": 380.38,
        "min": 380.38,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_5/add]:60",
        "max": 42.0,
        "mean": 42.0,
        "min": 42.0,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_20/Relu6;model/conv2d_20/BiasAdd;model/depthwise_conv2d_10/depthwise;model/conv2d_20/Conv2D;conv2d_20/bias]:61",
        "max": 567.44,
        "mean": 567.44,
        "min": 567.44,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_10/Relu;model/depthwise_conv2d_10/BiasAdd;model/depthwise_conv2d_10/depthwise;depthwise_conv2d_10/bias]:62",
        "max": 176.42,
        "mean": 176.42,
        "min": 176.42,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_10/clip_by_value/Minimum]:63",
        "max": 16.6,
        "mean": 16.6,
        "min": 16.6,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_10/clip_by_value;model/depthwise_conv2d_10/depthwise]:64",
        "max": 1105.24,
        "mean": 1105.24,
        "min": 1105.24,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_21/BiasAdd;model/conv2d_42/Conv2D;model/conv2d_21/Conv2D;conv2d_21/bias1]:65",
        "max": 1136.9,
        "mean": 1136.9,
        "min": 1136.9,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_22/Relu6;model/conv2d_22/BiasAdd;model/depthwise_conv2d_13/depthwise;model/conv2d_22/Conv2D;conv2d_22/bias]:66",
        "max": 783.84,
        "mean": 783.84,
        "min": 783.84,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_11/Relu;model/depthwise_conv2d_11/BiasAdd;model/depthwise_conv2d_13/depthwise;model/depthwise_conv2d_11/depthwise;depthwise_conv2d_11/bias]:67",
        "max": 412.46,
        "mean": 412.46,
        "min": 412.46,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_11/clip_by_value/Minimum]:68",
        "max": 31.88,
        "mean": 31.88,
        "min": 31.88,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_11/clip_by_value;model/depthwise_conv2d_13/depthwise]:69",
        "max": 1669.52,
        "mean": 1669.52,
        "min": 1669.52,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_23/BiasAdd;model/conv2d_42/Conv2D;model/conv2d_23/Conv2D;conv2d_23/bias1]:70",
        "max": 1021.5799999999999,
        "mean": 1021.5799999999999,
        "min": 1021.5799999999999,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_6/add]:71",
        "max": 64.18,
        "mean": 64.18,
        "min": 64.18,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_24/Relu6;model/conv2d_24/BiasAdd;model/depthwise_conv2d_13/depthwise;model/conv2d_24/Conv2D;conv2d_24/bias]:72",
        "max": 746.98,
        "mean": 746.98,
        "min": 746.98,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_12/Relu;model/depthwise_conv2d_12/BiasAdd;model/depthwise_conv2d_13/depthwise;model/depthwise_conv2d_12/depthwise;depthwise_conv2d_12/bias]:73",
        "max": 738.0400000000001,
        "mean": 738.0400000000001,
        "min": 738.0400000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_12/clip_by_value/Minimum]:74",
        "max": 32.28,
        "mean": 32.28,
        "min": 32.28,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_12/clip_by_value;model/depthwise_conv2d_13/depthwise]:75",
        "max": 1660.4399999999998,
        "mean": 1660.4399999999998,
        "min": 1660.4399999999998,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_25/BiasAdd;model/conv2d_42/Conv2D;model/conv2d_25/Conv2D;conv2d_25/bias1]:76",
        "max": 770.8000000000001,
        "mean": 770.8000000000001,
        "min": 770.8000000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_7/add]:77",
        "max": 64.96000000000001,
        "mean": 64.96000000000001,
        "min": 64.96000000000001,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_26/Relu6;model/conv2d_26/BiasAdd;model/depthwise_conv2d_13/depthwise;model/conv2d_26/Conv2D;conv2d_26/bias]:78",
        "max": 755.76,
        "mean": 755.76,
        "min": 755.76,
        "std": 0.0
      },
      {
        "layer_name": " [model/zero_padding2d_3/Pad]:79",
        "max": 637.46,
        "mean": 637.46,
        "min": 637.46,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_13/Relu;model/depthwise_conv2d_13/BiasAdd;model/depthwise_conv2d_13/depthwise;depthwise_conv2d_13/bias]:80",
        "max": 548.48,
        "mean": 548.48,
        "min": 548.48,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_13/clip_by_value/Minimum]:81",
        "max": 11.2,
        "mean": 11.2,
        "min": 11.2,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_13/clip_by_value;model/depthwise_conv2d_13/depthwise]:82",
        "max": 417.98,
        "mean": 417.98,
        "min": 417.98,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_27/BiasAdd;model/conv2d_31/Conv2D;model/conv2d_27/Conv2D;conv2d_27/bias1]:83",
        "max": 912.5,
        "mean": 912.5,
        "min": 912.5,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_28/Relu6;model/conv2d_28/BiasAdd;model/depthwise_conv2d_16/depthwise;model/conv2d_28/Conv2D;conv2d_28/bias]:84",
        "max": 594.02,
        "mean": 594.02,
        "min": 594.02,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_14/Relu;model/depthwise_conv2d_14/BiasAdd;model/depthwise_conv2d_16/depthwise;model/depthwise_conv2d_14/depthwise;depthwise_conv2d_14/bias]:85",
        "max": 330.98,
        "mean": 330.98,
        "min": 330.98,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_14/clip_by_value/Minimum]:86",
        "max": 16.240000000000002,
        "mean": 16.240000000000002,
        "min": 16.240000000000002,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_14/clip_by_value;model/depthwise_conv2d_16/depthwise]:87",
        "max": 694.8,
        "mean": 694.8,
        "min": 694.8,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_29/BiasAdd;model/conv2d_31/Conv2D;model/conv2d_29/Conv2D;conv2d_29/bias1]:88",
        "max": 779.42,
        "mean": 779.42,
        "min": 779.42,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_8/add]:89",
        "max": 30.12,
        "mean": 30.12,
        "min": 30.12,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_30/Relu6;model/conv2d_30/BiasAdd;model/depthwise_conv2d_16/depthwise;model/conv2d_30/Conv2D;conv2d_30/bias]:90",
        "max": 403.4,
        "mean": 403.4,
        "min": 403.4,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_15/Relu;model/depthwise_conv2d_15/BiasAdd;model/depthwise_conv2d_16/depthwise;model/depthwise_conv2d_15/depthwise;depthwise_conv2d_15/bias]:91",
        "max": 182.72,
        "mean": 182.72,
        "min": 182.72,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_15/clip_by_value/Minimum]:92",
        "max": 14.4,
        "mean": 14.4,
        "min": 14.4,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_15/clip_by_value;model/depthwise_conv2d_16/depthwise]:93",
        "max": 691.38,
        "mean": 691.38,
        "min": 691.38,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_31/BiasAdd;model/conv2d_31/Conv2D;conv2d_31/bias1]:94",
        "max": 732.22,
        "mean": 732.22,
        "min": 732.22,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_9/add]:95",
        "max": 31.88,
        "mean": 31.88,
        "min": 31.88,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_32/Relu6;model/conv2d_32/BiasAdd;model/depthwise_conv2d_16/depthwise;model/conv2d_32/Conv2D;conv2d_32/bias]:96",
        "max": 706.16,
        "mean": 706.16,
        "min": 706.16,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.nn.relu_16/Relu;model/depthwise_conv2d_16/BiasAdd;model/depthwise_conv2d_16/depthwise;depthwise_conv2d_16/bias]:97",
        "max": 374.86,
        "mean": 374.86,
        "min": 374.86,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_16/clip_by_value/Minimum]:98",
        "max": 15.9,
        "mean": 15.9,
        "min": 15.9,
        "std": 0.0
      },
      {
        "layer_name": " [model/tf.clip_by_value_16/clip_by_value;model/depthwise_conv2d_16/depthwise]:99",
        "max": 695.8,
        "mean": 695.8,
        "min": 695.8,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_33/BiasAdd;model/conv2d_33/Conv2D;conv2d_33/bias1]:100",
        "max": 1089.46,
        "mean": 1089.46,
        "min": 1089.46,
        "std": 0.0
      },
      {
        "layer_name": " [model/re_lu_34/Relu6;model/conv2d_34/BiasAdd;model/conv2d_34/Conv2D;conv2d_34/bias]:101",
        "max": 1080.4,
        "mean": 1080.4,
        "min": 1080.4,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_38/BiasAdd;model/depthwise_conv2d_17/depthwise;model/conv2d_38/Conv2D;conv2d_38/bias1]:102",
        "max": 277.2,
        "mean": 277.2,
        "min": 277.2,
        "std": 0.0
      },
      {
        "layer_name": " [model/resizing/resize/ResizeBilinear]:103",
        "max": 128.98000000000002,
        "mean": 128.98000000000002,
        "min": 128.98000000000002,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_37/BiasAdd;model/depthwise_conv2d_17/depthwise;model/conv2d_37/Conv2D;conv2d_37/bias1]:104",
        "max": 69.13999999999999,
        "mean": 69.13999999999999,
        "min": 69.13999999999999,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_10/add]:105",
        "max": 43.38,
        "mean": 43.38,
        "min": 43.38,
        "std": 0.0
      },
      {
        "layer_name": " [model/depthwise_conv2d_17/BiasAdd;model/depthwise_conv2d_17/depthwise1]:106",
        "max": 42.3,
        "mean": 42.3,
        "min": 42.3,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_39/re_lu_35/Relu;model/conv2d_39/BiasAdd;model/depthwise_conv2d_18/depthwise;model/conv2d_39/Conv2D;conv2d_39/bias]:107",
        "max": 34.28,
        "mean": 34.28,
        "min": 34.28,
        "std": 0.0
      },
      {
        "layer_name": " [model/resizing_1/resize/ResizeBilinear]:108",
        "max": 268.5,
        "mean": 268.5,
        "min": 268.5,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_36/BiasAdd;model/depthwise_conv2d_18/depthwise;model/conv2d_36/Conv2D;conv2d_36/bias1]:109",
        "max": 105.52,
        "mean": 105.52,
        "min": 105.52,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_11/add]:110",
        "max": 82.76,
        "mean": 82.76,
        "min": 82.76,
        "std": 0.0
      },
      {
        "layer_name": " [model/depthwise_conv2d_18/BiasAdd;model/depthwise_conv2d_18/depthwise1]:111",
        "max": 134.36,
        "mean": 134.36,
        "min": 134.36,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_40/re_lu_36/Relu;model/conv2d_40/BiasAdd;model/depthwise_conv2d_20/depthwise;model/conv2d_40/Conv2D;conv2d_40/bias]:112",
        "max": 226.92000000000002,
        "mean": 226.92000000000002,
        "min": 226.92000000000002,
        "std": 0.0
      },
      {
        "layer_name": " [model/resizing_2/resize/ResizeBilinear]:113",
        "max": 843.62,
        "mean": 843.62,
        "min": 843.62,
        "std": 0.0
      },
      {
        "layer_name": " [model/add_12/add]:114",
        "max": 258.74,
        "mean": 258.74,
        "min": 258.74,
        "std": 0.0
      },
      {
        "layer_name": " [model/depthwise_conv2d_19/BiasAdd;model/depthwise_conv2d_20/depthwise;model/depthwise_conv2d_19/depthwise]:115",
        "max": 770.36,
        "mean": 770.36,
        "min": 770.36,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_41/re_lu_37/Relu;model/conv2d_41/BiasAdd;model/depthwise_conv2d_20/depthwise;model/conv2d_41/Conv2D;conv2d_41/bias]:116",
        "max": 548.74,
        "mean": 548.74,
        "min": 548.74,
        "std": 0.0
      },
      {
        "layer_name": " [model/depthwise_conv2d_20/BiasAdd;model/depthwise_conv2d_20/depthwise11]:117",
        "max": 179.64,
        "mean": 179.64,
        "min": 179.64,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_42/re_lu_38/Relu;model/conv2d_42/BiasAdd;model/conv2d_42/Conv2D;conv2d_42/bias]:118",
        "max": 1447.22,
        "mean": 1447.22,
        "min": 1447.22,
        "std": 0.0
      },
      {
        "layer_name": " [model/conv2d_43/BiasAdd;model/conv2d_43/Conv2D;conv2d_43/bias1]:119",
        "max": 558.02,
        "mean": 558.02,
        "min": 558.02,
        "std": 0.0
      },
      {
        "layer_name": " [StatefulPartitionedCall:01]:120",
        "max": 82.74,
        "mean": 82.74,
        "min": 82.74,
        "std": 0.0
      },
      {
        "layer_name": " [StatefulPartitionedCall:0]:121",
        "max": 121.84,
        "mean": 121.84,
        "min": 121.84,
        "std": 0.0
      }
    ],
    "max": 151159.0,
    "mean": 103257.0,
    "min": 75603.0,
    "std": 19751.0,
    "troughput": null
  },
  "load_accelerator": null,
  "load_cpu": 71,
  "model_file_name": "movenet_lightning_heatmaps_256_int8_pt.tflite",
  "model_size": 2415504,
  "nb_inference": 50,
  "nb_parameters_model": null,
  "postprocess_time": {
    "max": null,
    "mean": null,
    "min": null,
    "std": null
  },
  "power_consumption": 7.4859664,
  "preprocess_time": {
    "max": null,
    "mean": null,
    "min": null,
    "std": null
  },
  "ram_peak_usage": 0.3823922384265054,
  "ram_size": 3976114176,
  "target": "rpi4b",
  "target_id": "0000019c716353c48a919c2708c2e96740c0117e3b39e93019ec189e217f7302",
  "temperature": null,
  "version": 0,
  "version_tag": ""
}