123911 - rpi4b tflite
123911 - rpi4b tflite
Summary: Pipeline succeeded and valid report was generated.
Model Details
- model name : miniresnetv2_2stacks_64x50_tl_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=miniresnetv2_2stacks_64x50_tl_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
{
"GFLOPs": null,
"accuracy": null,
"ambiant_temperature": null,
"benchmark_type": "TYPE1",
"date": "2026-04-14T23:03:26.",
"energy_efficiency": null,
"flash_size": 30700687360,
"flash_usage": 0.001566557759311354,
"inference_engine": "tflite",
"inference_latency": {
"latency_per_layers": [
{
"layer_name": " [model/conv1_pad/Pad]:0",
"max": 45.674600000000005,
"mean": 45.674600000000005,
"min": 45.674600000000005,
"std": 0.0
},
{
"layer_name": " [model/conv1_conv/BiasAdd;model/conv2_block2_2_conv/Conv2D;model/conv1_conv/Conv2D;model/conv1_conv/BiasAdd/ReadVariableOp1]:1",
"max": 542.2810000000001,
"mean": 542.2810000000001,
"min": 542.2810000000001,
"std": 0.0
},
{
"layer_name": " [model/pool1_pad/Pad]:2",
"max": 229.959,
"mean": 229.959,
"min": 229.959,
"std": 0.0
},
{
"layer_name": " [model/pool1_pool/MaxPool]:3",
"max": 28.766099999999998,
"mean": 28.766099999999998,
"min": 28.766099999999998,
"std": 0.0
},
{
"layer_name": " [model/conv2_block1_preact_bn/FusedBatchNormV32]:4",
"max": 29.5051,
"mean": 29.5051,
"min": 29.5051,
"std": 0.0
},
{
"layer_name": " [model/conv2_block1_preact_relu/Relu;model/conv2_block1_preact_bn/FusedBatchNormV3]:5",
"max": 37.2068,
"mean": 37.2068,
"min": 37.2068,
"std": 0.0
},
{
"layer_name": " [model/conv2_block1_0_conv/BiasAdd;model/conv2_block2_2_conv/Conv2D;model/conv2_block1_0_conv/Conv2D;model/conv2_block1_0_conv/BiasAdd/ReadVariableOp1]:6",
"max": 166.66400000000002,
"mean": 166.66400000000002,
"min": 166.66400000000002,
"std": 0.0
},
{
"layer_name": " [model/conv2_block1_1_relu/Relu;model/conv2_block1_1_bn/FusedBatchNormV3;model/conv2_block2_2_conv/Conv2D;model/conv2_block1_1_conv/Conv2D]:7",
"max": 82.2102,
"mean": 82.2102,
"min": 82.2102,
"std": 0.0
},
{
"layer_name": " [model/conv2_block1_2_pad/Pad]:8",
"max": 65.1661,
"mean": 65.1661,
"min": 65.1661,
"std": 0.0
},
{
"layer_name": " [model/conv2_block1_2_conv/Conv2D1]:9",
"max": 370.159,
"mean": 370.159,
"min": 370.159,
"std": 0.0
},
{
"layer_name": " [model/conv2_block1_out/add]:10",
"max": 34.4983,
"mean": 34.4983,
"min": 34.4983,
"std": 0.0
},
{
"layer_name": " [model/max_pooling2d_2/MaxPool]:11",
"max": 3.58305,
"mean": 3.58305,
"min": 3.58305,
"std": 0.0
},
{
"layer_name": " [model/conv2_block2_preact_bn/FusedBatchNormV32]:12",
"max": 26.7119,
"mean": 26.7119,
"min": 26.7119,
"std": 0.0
},
{
"layer_name": " [model/conv2_block2_preact_relu/Relu;model/conv2_block2_preact_bn/FusedBatchNormV3]:13",
"max": 36.3254,
"mean": 36.3254,
"min": 36.3254,
"std": 0.0
},
{
"layer_name": " [model/conv2_block2_1_relu/Relu;model/conv2_block2_1_bn/FusedBatchNormV3;model/conv2_block2_2_conv/Conv2D;model/conv2_block2_1_conv/Conv2D]:14",
"max": 127.45400000000001,
"mean": 127.45400000000001,
"min": 127.45400000000001,
"std": 0.0
},
{
"layer_name": " [model/conv2_block2_2_pad/Pad]:15",
"max": 65.19659999999999,
"mean": 65.19659999999999,
"min": 65.19659999999999,
"std": 0.0
},
{
"layer_name": " [model/conv2_block2_2_conv/Conv2D2]:16",
"max": 175.014,
"mean": 175.014,
"min": 175.014,
"std": 0.0
},
{
"layer_name": " [model/conv2_block2_out/add]:17",
"max": 10.569500000000001,
"mean": 10.569500000000001,
"min": 10.569500000000001,
"std": 0.0
},
{
"layer_name": " [model/conv3_block1_preact_bn/FusedBatchNormV32]:18",
"max": 8.2339,
"mean": 8.2339,
"min": 8.2339,
"std": 0.0
},
{
"layer_name": " [model/conv3_block1_preact_relu/Relu;model/conv3_block1_preact_bn/FusedBatchNormV3]:19",
"max": 10.3661,
"mean": 10.3661,
"min": 10.3661,
"std": 0.0
},
{
"layer_name": " [model/conv3_block1_0_conv/BiasAdd;model/conv3_block2_2_conv/Conv2D;model/conv3_block1_0_conv/Conv2D;model/conv3_block1_0_conv/BiasAdd/ReadVariableOp1]:20",
"max": 78.8576,
"mean": 78.8576,
"min": 78.8576,
"std": 0.0
},
{
"layer_name": " [model/conv3_block1_1_relu/Relu;model/conv3_block1_1_bn/FusedBatchNormV3;model/conv3_block2_2_conv/Conv2D;model/conv3_block1_1_conv/Conv2D]:21",
"max": 55.4203,
"mean": 55.4203,
"min": 55.4203,
"std": 0.0
},
{
"layer_name": " [model/conv3_block1_2_pad/Pad]:22",
"max": 38.2068,
"mean": 38.2068,
"min": 38.2068,
"std": 0.0
},
{
"layer_name": " [model/conv3_block1_2_conv/Conv2D1]:23",
"max": 374.166,
"mean": 374.166,
"min": 374.166,
"std": 0.0
},
{
"layer_name": " [model/conv3_block1_out/add]:24",
"max": 19.739,
"mean": 19.739,
"min": 19.739,
"std": 0.0
},
{
"layer_name": " [model/max_pooling2d_3/MaxPool]:25",
"max": 2.6949199999999998,
"mean": 2.6949199999999998,
"min": 2.6949199999999998,
"std": 0.0
},
{
"layer_name": " [model/conv3_block2_preact_bn/FusedBatchNormV32]:26",
"max": 16.6034,
"mean": 16.6034,
"min": 16.6034,
"std": 0.0
},
{
"layer_name": " [model/conv3_block2_preact_relu/Relu;model/conv3_block2_preact_bn/FusedBatchNormV3]:27",
"max": 20.2102,
"mean": 20.2102,
"min": 20.2102,
"std": 0.0
},
{
"layer_name": " [model/conv3_block2_1_relu/Relu;model/conv3_block2_1_bn/FusedBatchNormV3;model/conv3_block2_2_conv/Conv2D;model/conv3_block2_1_conv/Conv2D]:28",
"max": 174.027,
"mean": 174.027,
"min": 174.027,
"std": 0.0
},
{
"layer_name": " [model/conv3_block2_2_pad/Pad]:29",
"max": 53.5051,
"mean": 53.5051,
"min": 53.5051,
"std": 0.0
},
{
"layer_name": " [model/conv3_block2_2_conv/Conv2D2]:30",
"max": 200.078,
"mean": 200.078,
"min": 200.078,
"std": 0.0
},
{
"layer_name": " [model/conv3_block2_out/add]:31",
"max": 7.35932,
"mean": 7.35932,
"min": 7.35932,
"std": 0.0
},
{
"layer_name": " [model/post_bn/FusedBatchNormV32]:32",
"max": 5.189830000000001,
"mean": 5.189830000000001,
"min": 5.189830000000001,
"std": 0.0
},
{
"layer_name": " [model/post_relu/Relu;model/post_bn/FusedBatchNormV3]:33",
"max": 6.60678,
"mean": 6.60678,
"min": 6.60678,
"std": 0.0
},
{
"layer_name": " [model/flatten_1/Reshape]:34",
"max": 0.677966,
"mean": 0.677966,
"min": 0.677966,
"std": 0.0
},
{
"layer_name": " [model/new_head/MatMul;model/new_head/BiasAdd]:35",
"max": 15.908499999999998,
"mean": 15.908499999999998,
"min": 15.908499999999998,
"std": 0.0
},
{
"layer_name": " [StatefulPartitionedCall:01]:36",
"max": 2.1254199999999996,
"mean": 2.1254199999999996,
"min": 2.1254199999999996,
"std": 0.0
},
{
"layer_name": " [StatefulPartitionedCall:0]:37",
"max": 2.51186,
"mean": 2.51186,
"min": 2.51186,
"std": 0.0
}
],
"max": 36880.0,
"mean": 3169.43,
"min": 1946.0,
"std": 2796.0,
"troughput": null
},
"load_accelerator": null,
"load_cpu": 77,
"model_file_name": "miniresnetv2_2stacks_64x50_tl_int8.tflite",
"model_size": 480944,
"nb_inference": 295,
"nb_parameters_model": null,
"postprocess_time": {
"max": null,
"mean": null,
"min": null,
"std": null
},
"power_consumption": 7.290448,
"preprocess_time": {
"max": null,
"mean": null,
"min": null,
"std": null
},
"ram_peak_usage": 0.23734690660955504,
"ram_size": 3976114176,
"target": "rpi4b",
"target_id": "0000019c716353c48a919c2708c2e96740c0117e3b39e93019ec189e217f7302",
"temperature": null,
"version": 0,
"version_tag": ""
}