123837 - rpi4b tflite
123837 - rpi4b 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 '192.168.2.41' (ED25519) to the list of known hosts. [0m
Run command : benchmark_model --graph=st_fdmobilenet_v1_224_tfs_int8.tflite --num_threads=4 --enable_op_profiling=true --report_peak_memory_footprint=true --profiling_output_csv_file=log.csv --op_profiling_output_mode=csv
[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#-1 is a dynamic-sized tensor). [0m
End of command : benchmark_modelerror.log
Report Details
report.json
{
"GFLOPs": null,
"accuracy": null,
"ambiant_temperature": null,
"benchmark_type": "TYPE1",
"date": "2026-04-14T22:41:48.",
"energy_efficiency": null,
"flash_size": 30064766976,
"flash_usage": 0.0007712150245005778,
"inference_engine": "tflite",
"inference_latency": {
"latency_per_layers": [
{
"layer_name": " [tfl.quantize]:0",
"max": 229.259,
"mean": 229.259,
"min": 229.259,
"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": 2234.89,
"mean": 2234.89,
"min": 2234.89,
"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": 273.02500000000003,
"mean": 273.02500000000003,
"min": 273.02500000000003,
"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": 517.63,
"mean": 517.63,
"min": 517.63,
"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": 234.488,
"mean": 234.488,
"min": 234.488,
"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": 405.611,
"mean": 405.611,
"min": 405.611,
"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": 199.11100000000002,
"mean": 199.11100000000002,
"min": 199.11100000000002,
"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": 262.494,
"mean": 262.494,
"min": 262.494,
"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": 56.7099,
"mean": 56.7099,
"min": 56.7099,
"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": 72.7654,
"mean": 72.7654,
"min": 72.7654,
"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": 40.4321,
"mean": 40.4321,
"min": 40.4321,
"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": 60.7284,
"mean": 60.7284,
"min": 60.7284,
"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": 12.1358,
"mean": 12.1358,
"min": 12.1358,
"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": 40.4815,
"mean": 40.4815,
"min": 40.4815,
"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": 24.3519,
"mean": 24.3519,
"min": 24.3519,
"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": 46.9259,
"mean": 46.9259,
"min": 46.9259,
"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": 24.1235,
"mean": 24.1235,
"min": 24.1235,
"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": 51.0,
"mean": 51.0,
"min": 51.0,
"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": 23.351899999999997,
"mean": 23.351899999999997,
"min": 23.351899999999997,
"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": 50.524699999999996,
"mean": 50.524699999999996,
"min": 50.524699999999996,
"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": 21.308600000000002,
"mean": 21.308600000000002,
"min": 21.308600000000002,
"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": 50.8889,
"mean": 50.8889,
"min": 50.8889,
"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": 22.8827,
"mean": 22.8827,
"min": 22.8827,
"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": 84.3333,
"mean": 84.3333,
"min": 84.3333,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/global_average_pooling2d/Mean]:24",
"max": 710.5559999999999,
"mean": 710.5559999999999,
"min": 710.5559999999999,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_1/Shape]:25",
"max": 0.919753,
"mean": 0.919753,
"min": 0.919753,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_1/strided_slice]:26",
"max": 1.23457,
"mean": 1.23457,
"min": 1.23457,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_1/Reshape/shape]:27",
"max": 6.154319999999999,
"mean": 6.154319999999999,
"min": 6.154319999999999,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_1/Reshape]:28",
"max": 3.61111,
"mean": 3.61111,
"min": 3.61111,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/conv_preds/BiasAdd;fd_mobilenet_mixed_alpha/conv_preds/Conv2D;conv_preds/bias1]:29",
"max": 14.6975,
"mean": 14.6975,
"min": 14.6975,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/act_softmax/Softmax]:30",
"max": 3.43827,
"mean": 3.43827,
"min": 3.43827,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_2/Shape]:31",
"max": 0.296296,
"mean": 0.296296,
"min": 0.296296,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_2/strided_slice]:32",
"max": 0.475309,
"mean": 0.475309,
"min": 0.475309,
"std": 0.0
},
{
"layer_name": " [fd_mobilenet_mixed_alpha/reshape_2/Reshape/shape]:33",
"max": 1.5802500000000002,
"mean": 1.5802500000000002,
"min": 1.5802500000000002,
"std": 0.0
},
{
"layer_name": " [StatefulPartitionedCall:01]:34",
"max": 0.8086420000000001,
"mean": 0.8086420000000001,
"min": 0.8086420000000001,
"std": 0.0
},
{
"layer_name": " [StatefulPartitionedCall:0]:35",
"max": 2.80864,
"mean": 2.80864,
"min": 2.80864,
"std": 0.0
}
],
"max": 21743.0,
"mean": 5786.03,
"min": 3484.0,
"std": 2823.0,
"troughput": null
},
"load_accelerator": null,
"load_cpu": 78,
"model_file_name": "st_fdmobilenet_v1_224_tfs_int8.tflite",
"model_size": 231864,
"nb_inference": 162,
"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": 0.25382933067966307,
"ram_size": 3976114176,
"target": "rpi4b",
"target_id": "0000019c71635d3019f6027236bbb385337cac91fb67191971047760add7d2ef",
"temperature": null,
"version": 0,
"version_tag": ""
}