124111 - rpi5 tflite
124111 - rpi5 tflite
Summary: Pipeline succeeded and valid report was generated.
Model Details
- model name : st_fdmobilenet_v1_224_tfs_int8.tflite
- model url : Download here
Logs Details
user.log
[33mWarning: Permanently added '192.168.2.10' (ED25519) to the list of known hosts.
[0m
[33mINFO: Created TensorFlow Lite XNNPACK delegate for CPU. [0m
[33mWARNING: Attempting to use a delegate that only supports static-sized tensors with a graph that has dynamic-sized tensors (tensor#83 is a dynamic-sized tensor). [0merror.log
Report Details
report.json
{
"GFLOPs": null,
"accuracy": null,
"ambiant_temperature": null,
"benchmark_type": "TYPE1",
"date": "2026-04-14T22:54:46.",
"energy_efficiency": null,
"flash_size": 62416101376,
"flash_usage": 0.0003714810680071656,
"inference_engine": "tflite",
"inference_latency": {
"latency_per_layers": [
{
"layer_name": " [tfl.quantize]:0",
"max": 113.488,
"mean": 113.488,
"min": 113.488,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv1_relu/Relu;fd_mobilenet_mixed_alpha/conv1_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_1/depthwise;fd_mobilenet_mixed_alpha/conv1/Conv2D]:1",
"max": 733.833,
"mean": 733.833,
"min": 733.833,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_1/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_1/depthwise;conv_dw_1/bias1]:2",
"max": 93.6204,
"mean": 93.6204,
"min": 93.6204,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_1_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_1_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_2/depthwise;fd_mobilenet_mixed_alpha/conv_pw_1/Conv2D]:3",
"max": 150.167,
"mean": 150.167,
"min": 150.167,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_2/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_2/depthwise;conv_dw_2/bias1]:4",
"max": 55.0672,
"mean": 55.0672,
"min": 55.0672,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_2_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_2_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_3/depthwise;fd_mobilenet_mixed_alpha/conv_pw_2/Conv2D]:5",
"max": 98.34710000000001,
"mean": 98.34710000000001,
"min": 98.34710000000001,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_3/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_3/depthwise;conv_dw_3/bias1]:6",
"max": 50.188700000000004,
"mean": 50.188700000000004,
"min": 50.188700000000004,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_3_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_3_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_6/depthwise;fd_mobilenet_mixed_alpha/conv_pw_3/Conv2D]:7",
"max": 102.857,
"mean": 102.857,
"min": 102.857,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_4/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_6/depthwise;fd_mobilenet_mixed_alpha/conv_dw_4/depthwise;conv_dw_4/bias1]:8",
"max": 26.9328,
"mean": 26.9328,
"min": 26.9328,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_4_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_4_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_5/depthwise;fd_mobilenet_mixed_alpha/conv_pw_4/Conv2D]:9",
"max": 45.453399999999995,
"mean": 45.453399999999995,
"min": 45.453399999999995,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_5/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_5/depthwise;conv_dw_5/bias1]:10",
"max": 28.4881,
"mean": 28.4881,
"min": 28.4881,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_5_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_5_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_6/depthwise;fd_mobilenet_mixed_alpha/conv_pw_5/Conv2D]:11",
"max": 41.908899999999996,
"mean": 41.908899999999996,
"min": 41.908899999999996,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_6/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_6/depthwise;conv_dw_6/bias1]:12",
"max": 15.856800000000002,
"mean": 15.856800000000002,
"min": 15.856800000000002,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_6_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_6_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_11/depthwise;fd_mobilenet_mixed_alpha/conv_pw_6/Conv2D]:13",
"max": 25.872,
"mean": 25.872,
"min": 25.872,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_7/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_11/depthwise;fd_mobilenet_mixed_alpha/conv_dw_7/depthwise;conv_dw_7/bias1]:14",
"max": 20.692,
"mean": 20.692,
"min": 20.692,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_7_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_7_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_11/depthwise;fd_mobilenet_mixed_alpha/conv_pw_7/Conv2D]:15",
"max": 32.705,
"mean": 32.705,
"min": 32.705,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_8/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_11/depthwise;fd_mobilenet_mixed_alpha/conv_dw_8/depthwise;conv_dw_8/bias1]:16",
"max": 18.186600000000002,
"mean": 18.186600000000002,
"min": 18.186600000000002,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_8_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_8_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_11/depthwise;fd_mobilenet_mixed_alpha/conv_pw_8/Conv2D]:17",
"max": 29.6681,
"mean": 29.6681,
"min": 29.6681,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_9/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_11/depthwise;fd_mobilenet_mixed_alpha/conv_dw_9/depthwise;conv_dw_9/bias1]:18",
"max": 17.4403,
"mean": 17.4403,
"min": 17.4403,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_9_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_9_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_11/depthwise;fd_mobilenet_mixed_alpha/conv_pw_9/Conv2D]:19",
"max": 29.546599999999998,
"mean": 29.546599999999998,
"min": 29.546599999999998,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_10/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_11/depthwise;fd_mobilenet_mixed_alpha/conv_dw_10/depthwise;conv_dw_10/bias1]:20",
"max": 10.934899999999999,
"mean": 10.934899999999999,
"min": 10.934899999999999,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_10_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_10_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_dw_11/depthwise;fd_mobilenet_mixed_alpha/conv_pw_10/Conv2D]:21",
"max": 20.190900000000003,
"mean": 20.190900000000003,
"min": 20.190900000000003,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_dw_11/BiasAdd;fd_mobilenet_mixed_alpha/conv_dw_11/depthwise;conv_dw_11/bias1]:22",
"max": 7.55531,
"mean": 7.55531,
"min": 7.55531,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_pw_11_relu/Relu;fd_mobilenet_mixed_alpha/conv_pw_11_bn/FusedBatchNormV3;fd_mobilenet_mixed_alpha/conv_pw_11/Conv2D]:23",
"max": 36.377399999999994,
"mean": 36.377399999999994,
"min": 36.377399999999994,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/global_average_pooling2d/Mean]:24",
"max": 271.81100000000004,
"mean": 271.81100000000004,
"min": 271.81100000000004,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_1/Shape]:25",
"max": 0.156182,
"mean": 0.156182,
"min": 0.156182,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_1/strided_slice]:26",
"max": 0.24945799999999999,
"mean": 0.24945799999999999,
"min": 0.24945799999999999,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_1/Reshape/shape]:27",
"max": 0.841649,
"mean": 0.841649,
"min": 0.841649,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_1/Reshape]:28",
"max": 0.5206069999999999,
"mean": 0.5206069999999999,
"min": 0.5206069999999999,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_preds/BiasAdd;fd_mobilenet_mixed_alpha/conv_preds/Conv2D;conv_preds/bias1]:29",
"max": 3.2321,
"mean": 3.2321,
"min": 3.2321,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/act_softmax/Softmax]:30",
"max": 0.563991,
"mean": 0.563991,
"min": 0.563991,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_2/Shape]:31",
"max": 0.138829,
"mean": 0.138829,
"min": 0.138829,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_2/strided_slice]:32",
"max": 0.149675,
"mean": 0.149675,
"min": 0.149675,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_2/Reshape/shape]:33",
"max": 0.403471,
"mean": 0.403471,
"min": 0.403471,
"std": 0.0
},
{
"layer_name": " [StatefulPartitionedCall:01]:34",
"max": 0.24945799999999999,
"mean": 0.24945799999999999,
"min": 0.24945799999999999,
"std": 0.0
},
{
"layer_name": " [StatefulPartitionedCall:0]:35",
"max": 0.370933,
"mean": 0.370933,
"min": 0.370933,
"std": 0.0
}
],
"max": 31284.0,
"mean": 2084.07,
"min": 1543.0,
"std": 2795.0,
"troughput": null
},
"load_accelerator": null,
"load_cpu": 69.56818181818181,
"model_file_name": "st_fdmobilenet_v1_224_tfs_int8.tflite",
"model_size": 231864,
"nb_inference": 461,
"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": 0.19776433598306642,
"ram_size": 4241719296,
"target": "rpi5",
"target_id": "0000019c71638acf37948e8933e2246c7ee24eb06307d06986d991b6e014d767",
"temperature": null,
"version": 0,
"version_tag": ""
}