214310 - rpi4b tflite
Summary: Test completed with status: SUCCESS. Mean inference time: 1274 ms.
Model Details
- model name : Resnet_int8.tflite
Logs Details
user.log
[33mWarning: Permanently added '192.168.2.41' (ED25519) to the list of known hosts. [0m
Run command : benchmark_model --graph=Resnet_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
End of command : benchmark_modelerror.log
Report Details
report.json
{
"version": 0,
"target_id": "rpi4b-0002-0002",
"version_tag": "",
"date": "2026-07-21T22:09:37.",
"target": "rpi4b",
"inference_engine": "tflite",
"model_file_name": "Resnet_int8.tflite",
"benchmark_type": "TYPE1",
"nb_inference": 735,
"ram_size": 3976114176,
"ram_peak_usage": 0.22086448253944707,
"flash_size": 30700687360,
"flash_usage": 0.000320826693047696,
"load_cpu": 78,
"load_accelerator": null,
"temperature": null,
"ambiant_temperature": null,
"power_consumption": 8.0632944,
"energy_efficiency": null,
"model_size": 98496,
"nb_parameters_model": null,
"GFLOPs": null,
"inference_latency": {
"mean": 1274.24,
"std": 1553.0,
"min": 775.0,
"max": 17839.0,
"troughput": null,
"latency_per_layers": [
{
"layer_name": " [model/activation/Relu;model/batch_normalization/FusedBatchNormV3;model/conv2d/BiasAdd/ReadVariableOp/resource;model/conv2d/BiasAdd;model/conv2d_2/Conv2D;model/conv2d/Conv2D1]:0",
"mean": 182.597,
"std": 0.0,
"min": 182.597,
"max": 182.597
},
{
"layer_name": " [model/activation_1/Relu;model/batch_normalization_1/FusedBatchNormV3;model/conv2d_1/BiasAdd/ReadVariableOp/resource;model/conv2d_1/BiasAdd;model/conv2d_2/Conv2D;model/conv2d_1/Conv2D1]:1",
"mean": 210.853,
"std": 0.0,
"min": 210.853,
"max": 210.853
},
{
"layer_name": " [model/batch_normalization_2/FusedBatchNormV3;model/conv2d_2/BiasAdd/ReadVariableOp/resource;model/conv2d_2/BiasAdd;model/conv2d_2/Conv2D]:2",
"mean": 214.87300000000002,
"std": 0.0,
"min": 214.87300000000002,
"max": 214.87300000000002
},
{
"layer_name": " [model/activation_2/Relu;model/add/add]:3",
"mean": 41.8735,
"std": 0.0,
"min": 41.8735,
"max": 41.8735
},
{
"layer_name": " [model/activation_3/Relu;model/batch_normalization_3/FusedBatchNormV3;model/conv2d_3/BiasAdd/ReadVariableOp/resource;model/conv2d_3/BiasAdd;model/conv2d_5/Conv2D;model/conv2d_3/Conv2D1]:4",
"mean": 135.079,
"std": 0.0,
"min": 135.079,
"max": 135.079
},
{
"layer_name": " [model/batch_normalization_4/FusedBatchNormV3;model/conv2d_4/BiasAdd/ReadVariableOp/resource;model/conv2d_4/BiasAdd;model/conv2d_5/Conv2D;model/conv2d_4/Conv2D]:5",
"mean": 138.404,
"std": 0.0,
"min": 138.404,
"max": 138.404
},
{
"layer_name": " [model/conv2d_5/BiasAdd;model/conv2d_5/Conv2D;model/conv2d_5/BiasAdd/ReadVariableOp/resource1]:6",
"mean": 49.827200000000005,
"std": 0.0,
"min": 49.827200000000005,
"max": 49.827200000000005
},
{
"layer_name": " [model/activation_4/Relu;model/add_1/add]:7",
"mean": 21.0395,
"std": 0.0,
"min": 21.0395,
"max": 21.0395
},
{
"layer_name": " [model/activation_5/Relu;model/batch_normalization_5/FusedBatchNormV3;model/conv2d_6/BiasAdd/ReadVariableOp/resource;model/conv2d_6/BiasAdd;model/conv2d_8/Conv2D;model/conv2d_6/Conv2D1]:8",
"mean": 86.4122,
"std": 0.0,
"min": 86.4122,
"max": 86.4122
},
{
"layer_name": " [model/batch_normalization_6/FusedBatchNormV3;model/conv2d_7/BiasAdd/ReadVariableOp/resource;model/conv2d_7/BiasAdd;model/conv2d_8/Conv2D;model/conv2d_7/Conv2D]:9",
"mean": 146.514,
"std": 0.0,
"min": 146.514,
"max": 146.514
},
{
"layer_name": " [model/conv2d_8/BiasAdd;model/conv2d_8/Conv2D;model/conv2d_8/BiasAdd/ReadVariableOp/resource1]:10",
"mean": 27.842200000000002,
"std": 0.0,
"min": 27.842200000000002,
"max": 27.842200000000002
},
{
"layer_name": " [model/activation_6/Relu;model/add_2/add]:11",
"mean": 11.136099999999999,
"std": 0.0,
"min": 11.136099999999999,
"max": 11.136099999999999
},
{
"layer_name": " [model/average_pooling2d/AvgPool]:12",
"mean": 4.02585,
"std": 0.0,
"min": 4.02585,
"max": 4.02585
},
{
"layer_name": " [model/flatten/Reshape]:13",
"mean": 0.462585,
"std": 0.0,
"min": 0.462585,
"max": 0.462585
},
{
"layer_name": " [model/dense/MatMul;model/dense/BiasAdd]:14",
"mean": 2.15102,
"std": 0.0,
"min": 2.15102,
"max": 2.15102
},
{
"layer_name": " [Identity_int8]:15",
"mean": 1.1483,
"std": 0.0,
"min": 1.1483,
"max": 1.1483
}
]
},
"preprocess_time": {
"mean": null,
"std": null,
"min": null,
"max": null
},
"postprocess_time": {
"mean": null,
"std": null,
"min": null,
"max": null
},
"accuracy": null
}