214283 - rpi4b tflite
Summary: Test completed with status: SUCCESS. Mean inference time: 1283 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
[33mINFO: Created TensorFlow Lite XNNPACK delegate for CPU. [0m
End of command : benchmark_modelerror.log
Report Details
report.json
{
"version": 0,
"target_id": "rpi4b-0002-0001",
"version_tag": "",
"date": "2026-07-21T22:07:49.",
"target": "rpi4b",
"inference_engine": "tflite",
"model_file_name": "Resnet_int8.tflite",
"benchmark_type": "TYPE1",
"nb_inference": 733,
"ram_size": 3976114176,
"ram_peak_usage": 0.22086448253944707,
"flash_size": 30064766976,
"flash_usage": 0.00032761271716699833,
"load_cpu": 79,
"load_accelerator": null,
"temperature": null,
"ambiant_temperature": null,
"power_consumption": null,
"energy_efficiency": null,
"model_size": 98496,
"nb_parameters_model": null,
"GFLOPs": null,
"inference_latency": {
"mean": 1282.85,
"std": 1642.0,
"min": 773.0,
"max": 16594.0,
"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": 181.585,
"std": 0.0,
"min": 181.585,
"max": 181.585
},
{
"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": 220.214,
"std": 0.0,
"min": 220.214,
"max": 220.214
},
{
"layer_name": " [model/batch_normalization_2/FusedBatchNormV3;model/conv2d_2/BiasAdd/ReadVariableOp/resource;model/conv2d_2/BiasAdd;model/conv2d_2/Conv2D]:2",
"mean": 221.70100000000002,
"std": 0.0,
"min": 221.70100000000002,
"max": 221.70100000000002
},
{
"layer_name": " [model/activation_2/Relu;model/add/add]:3",
"mean": 41.854,
"std": 0.0,
"min": 41.854,
"max": 41.854
},
{
"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": 136.233,
"std": 0.0,
"min": 136.233,
"max": 136.233
},
{
"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": 141.183,
"std": 0.0,
"min": 141.183,
"max": 141.183
},
{
"layer_name": " [model/conv2d_5/BiasAdd;model/conv2d_5/Conv2D;model/conv2d_5/BiasAdd/ReadVariableOp/resource1]:6",
"mean": 43.2046,
"std": 0.0,
"min": 43.2046,
"max": 43.2046
},
{
"layer_name": " [model/activation_4/Relu;model/add_1/add]:7",
"mean": 21.0382,
"std": 0.0,
"min": 21.0382,
"max": 21.0382
},
{
"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": 94.48570000000001,
"std": 0.0,
"min": 94.48570000000001,
"max": 94.48570000000001
},
{
"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": 138.153,
"std": 0.0,
"min": 138.153,
"max": 138.153
},
{
"layer_name": " [model/conv2d_8/BiasAdd;model/conv2d_8/Conv2D;model/conv2d_8/BiasAdd/ReadVariableOp/resource1]:10",
"mean": 24.6494,
"std": 0.0,
"min": 24.6494,
"max": 24.6494
},
{
"layer_name": " [model/activation_6/Relu;model/add_2/add]:11",
"mean": 11.1392,
"std": 0.0,
"min": 11.1392,
"max": 11.1392
},
{
"layer_name": " [model/average_pooling2d/AvgPool]:12",
"mean": 3.6261900000000002,
"std": 0.0,
"min": 3.6261900000000002,
"max": 3.6261900000000002
},
{
"layer_name": " [model/flatten/Reshape]:13",
"mean": 0.429741,
"std": 0.0,
"min": 0.429741,
"max": 0.429741
},
{
"layer_name": " [model/dense/MatMul;model/dense/BiasAdd]:14",
"mean": 2.33834,
"std": 0.0,
"min": 2.33834,
"max": 2.33834
},
{
"layer_name": " [Identity_int8]:15",
"mean": 1.01501,
"std": 0.0,
"min": 1.01501,
"max": 1.01501
}
]
},
"preprocess_time": {
"mean": null,
"std": null,
"min": null,
"max": null
},
"postprocess_time": {
"mean": null,
"std": null,
"min": null,
"max": null
},
"accuracy": null
}