123808 - rpi4b tflite
123808 - rpi4b tflite
Summary: Pipeline succeeded and valid report was generated.
Model Details
- model name : deeplab_v3_mobilenetv2_05_16_512_asppv1_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=deeplab_v3_mobilenetv2_05_16_512_asppv1_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#194 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": "2026-04-14T22:31:55.",
"energy_efficiency": null,
"flash_size": 30688104448,
"flash_usage": 0.009238941443269165,
"inference_engine": "tflite",
"inference_latency": {
"latency_per_layers": [
{
"layer_name": " [tfl.quantize]:0",
"max": 1186.06,
"mean": 1186.06,
"min": 1186.06,
"std": 0.0
},
{
"layer_name": " [model/Conv1_relu/Relu6;model/bn_Conv1/FusedBatchNormV3;model/expanded_conv_depthwise_BN/FusedBatchNormV3;model/expanded_conv_depthwise/depthwise;model/block_5_project/Conv2D;model/Conv1/Conv2D]:1",
"max": 7117.639999999999,
"mean": 7117.639999999999,
"min": 7117.639999999999,
"std": 0.0
},
{
"layer_name": " [model/expanded_conv_depthwise_relu/Relu6;model/expanded_conv_depthwise_BN/FusedBatchNormV3;model/expanded_conv_depthwise/depthwise;model/block_5_project/Conv2D]:2",
"max": 1654.4,
"mean": 1654.4,
"min": 1654.4,
"std": 0.0
},
{
"layer_name": " [model/expanded_conv_project_BN/FusedBatchNormV3;model/expanded_conv_project/Conv2D1]:3",
"max": 2406.1,
"mean": 2406.1,
"min": 2406.1,
"std": 0.0
},
{
"layer_name": " [model/block_1_expand_relu/Relu6;model/block_1_expand_BN/FusedBatchNormV3;model/block_1_depthwise_BN/FusedBatchNormV3;model/block_1_depthwise/depthwise;model/block_12_project/Conv2D;model/block_1_expand/Conv2D]:4",
"max": 8630.0,
"mean": 8630.0,
"min": 8630.0,
"std": 0.0
},
{
"layer_name": " [model/block_1_pad/Pad]:5",
"max": 13444.4,
"mean": 13444.4,
"min": 13444.4,
"std": 0.0
},
{
"layer_name": " [model/block_1_depthwise_relu/Relu6;model/block_1_depthwise_BN/FusedBatchNormV3;model/block_1_depthwise/depthwise;model/block_12_project/Conv2D]:6",
"max": 2753.18,
"mean": 2753.18,
"min": 2753.18,
"std": 0.0
},
{
"layer_name": " [model/block_1_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_1_project/Conv2D1]:7",
"max": 1813.42,
"mean": 1813.42,
"min": 1813.42,
"std": 0.0
},
{
"layer_name": " [model/block_2_expand_relu/Relu6;model/block_2_expand_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_2_expand/Conv2D]:8",
"max": 4861.06,
"mean": 4861.06,
"min": 4861.06,
"std": 0.0
},
{
"layer_name": " [model/block_2_depthwise_relu/Relu6;model/block_2_depthwise_BN/FusedBatchNormV3;model/block_2_depthwise/depthwise;model/block_6_depthwise/depthwise]:9",
"max": 3465.62,
"mean": 3465.62,
"min": 3465.62,
"std": 0.0
},
{
"layer_name": " [model/block_2_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_2_project/Conv2D1]:10",
"max": 2690.48,
"mean": 2690.48,
"min": 2690.48,
"std": 0.0
},
{
"layer_name": " [model/block_2_add/add]:11",
"max": 775.5999999999999,
"mean": 775.5999999999999,
"min": 775.5999999999999,
"std": 0.0
},
{
"layer_name": " [model/block_3_expand_relu/Relu6;model/block_3_expand_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_3_expand/Conv2D]:12",
"max": 4828.62,
"mean": 4828.62,
"min": 4828.62,
"std": 0.0
},
{
"layer_name": " [model/block_3_pad/Pad]:13",
"max": 6581.84,
"mean": 6581.84,
"min": 6581.84,
"std": 0.0
},
{
"layer_name": " [model/block_3_depthwise_relu/Relu6;model/block_3_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_3_depthwise/depthwise]:14",
"max": 2105.08,
"mean": 2105.08,
"min": 2105.08,
"std": 0.0
},
{
"layer_name": " [model/block_3_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_3_project/Conv2D1]:15",
"max": 971.88,
"mean": 971.88,
"min": 971.88,
"std": 0.0
},
{
"layer_name": " [model/block_4_expand_relu/Relu6;model/block_4_expand_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_4_expand/Conv2D]:16",
"max": 1230.9399999999998,
"mean": 1230.9399999999998,
"min": 1230.9399999999998,
"std": 0.0
},
{
"layer_name": " [model/block_4_depthwise_relu/Relu6;model/block_4_depthwise_BN/FusedBatchNormV3;model/block_4_depthwise/depthwise;model/block_6_depthwise/depthwise]:17",
"max": 925.5600000000001,
"mean": 925.5600000000001,
"min": 925.5600000000001,
"std": 0.0
},
{
"layer_name": " [model/block_4_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D;model/block_4_project/Conv2D1]:18",
"max": 837.04,
"mean": 837.04,
"min": 837.04,
"std": 0.0
},
{
"layer_name": " [model/block_4_add/add]:19",
"max": 169.92,
"mean": 169.92,
"min": 169.92,
"std": 0.0
},
{
"layer_name": " [model/block_5_expand_relu/Relu6;model/block_5_expand_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_5_expand/Conv2D]:20",
"max": 1329.98,
"mean": 1329.98,
"min": 1329.98,
"std": 0.0
},
{
"layer_name": " [model/block_5_depthwise_relu/Relu6;model/block_5_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_5_depthwise/depthwise]:21",
"max": 1018.0,
"mean": 1018.0,
"min": 1018.0,
"std": 0.0
},
{
"layer_name": " [model/block_5_project_BN/FusedBatchNormV3;model/block_5_project/Conv2D1]:22",
"max": 836.74,
"mean": 836.74,
"min": 836.74,
"std": 0.0
},
{
"layer_name": " [model/block_5_add/add]:23",
"max": 168.58,
"mean": 168.58,
"min": 168.58,
"std": 0.0
},
{
"layer_name": " [model/block_6_expand_relu/Relu6;model/block_6_expand_BN/FusedBatchNormV3;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise;model/block_6_expand/Conv2D]:24",
"max": 1213.9,
"mean": 1213.9,
"min": 1213.9,
"std": 0.0
},
{
"layer_name": " [model/block_6_pad/Pad]:25",
"max": 1667.94,
"mean": 1667.94,
"min": 1667.94,
"std": 0.0
},
{
"layer_name": " [model/block_6_depthwise_relu/Relu6;model/block_6_depthwise_BN/FusedBatchNormV3;model/block_6_depthwise/depthwise]:26",
"max": 851.9799999999999,
"mean": 851.9799999999999,
"min": 851.9799999999999,
"std": 0.0
},
{
"layer_name": " [model/block_6_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_6_project/Conv2D1]:27",
"max": 672.32,
"mean": 672.32,
"min": 672.32,
"std": 0.0
},
{
"layer_name": " [model/block_7_expand_relu/Relu6;model/block_7_expand_BN/FusedBatchNormV3;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_7_expand/Conv2D]:28",
"max": 935.68,
"mean": 935.68,
"min": 935.68,
"std": 0.0
},
{
"layer_name": " [model/block_7_depthwise_relu/Relu6;model/block_7_depthwise_BN/FusedBatchNormV3;model/block_7_depthwise/depthwise;model/block_10_depthwise/depthwise]:29",
"max": 715.5200000000001,
"mean": 715.5200000000001,
"min": 715.5200000000001,
"std": 0.0
},
{
"layer_name": " [model/block_7_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_7_project/Conv2D1]:30",
"max": 828.72,
"mean": 828.72,
"min": 828.72,
"std": 0.0
},
{
"layer_name": " [model/block_7_add/add]:31",
"max": 86.66,
"mean": 86.66,
"min": 86.66,
"std": 0.0
},
{
"layer_name": " [model/block_8_expand_relu/Relu6;model/block_8_expand_BN/FusedBatchNormV3;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_8_expand/Conv2D]:32",
"max": 919.32,
"mean": 919.32,
"min": 919.32,
"std": 0.0
},
{
"layer_name": " [model/block_8_depthwise_relu/Relu6;model/block_8_depthwise_BN/FusedBatchNormV3;model/block_8_depthwise/depthwise;model/block_10_depthwise/depthwise]:33",
"max": 744.22,
"mean": 744.22,
"min": 744.22,
"std": 0.0
},
{
"layer_name": " [model/block_8_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D;model/block_8_project/Conv2D1]:34",
"max": 441.08000000000004,
"mean": 441.08000000000004,
"min": 441.08000000000004,
"std": 0.0
},
{
"layer_name": " [model/block_8_add/add]:35",
"max": 84.5,
"mean": 84.5,
"min": 84.5,
"std": 0.0
},
{
"layer_name": " [model/block_9_expand_relu/Relu6;model/block_9_expand_BN/FusedBatchNormV3;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_9_expand/Conv2D]:36",
"max": 578.16,
"mean": 578.16,
"min": 578.16,
"std": 0.0
},
{
"layer_name": " [model/block_9_depthwise_relu/Relu6;model/block_9_depthwise_BN/FusedBatchNormV3;model/block_9_depthwise/depthwise;model/block_10_depthwise/depthwise]:37",
"max": 316.7,
"mean": 316.7,
"min": 316.7,
"std": 0.0
},
{
"layer_name": " [model/block_9_project_BN/FusedBatchNormV3;model/block_9_project/Conv2D1]:38",
"max": 428.06,
"mean": 428.06,
"min": 428.06,
"std": 0.0
},
{
"layer_name": " [model/block_9_add/add]:39",
"max": 85.36,
"mean": 85.36,
"min": 85.36,
"std": 0.0
},
{
"layer_name": " [model/block_10_expand_relu/Relu6;model/block_10_expand_BN/FusedBatchNormV3;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise;model/block_10_expand/Conv2D]:40",
"max": 611.22,
"mean": 611.22,
"min": 611.22,
"std": 0.0
},
{
"layer_name": " [model/block_10_depthwise_relu/Relu6;model/block_10_depthwise_BN/FusedBatchNormV3;model/block_10_depthwise/depthwise]:41",
"max": 484.96,
"mean": 484.96,
"min": 484.96,
"std": 0.0
},
{
"layer_name": " [model/block_10_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_10_project/Conv2D1]:42",
"max": 427.14000000000004,
"mean": 427.14000000000004,
"min": 427.14000000000004,
"std": 0.0
},
{
"layer_name": " [model/block_11_expand_relu/Relu6;model/block_11_expand_BN/FusedBatchNormV3;model/block_11_depthwise_BN/FusedBatchNormV3;model/block_11_depthwise/depthwise;model/block_13_expand/Conv2D;model/block_11_expand/Conv2D]:43",
"max": 1046.3,
"mean": 1046.3,
"min": 1046.3,
"std": 0.0
},
{
"layer_name": " [model/block_11_depthwise_relu/Relu6;model/block_11_depthwise_BN/FusedBatchNormV3;model/block_11_depthwise/depthwise;model/block_13_expand/Conv2D]:44",
"max": 486.70000000000005,
"mean": 486.70000000000005,
"min": 486.70000000000005,
"std": 0.0
},
{
"layer_name": " [model/block_11_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D;model/block_11_project/Conv2D1]:45",
"max": 689.72,
"mean": 689.72,
"min": 689.72,
"std": 0.0
},
{
"layer_name": " [model/block_11_add/add]:46",
"max": 130.36,
"mean": 130.36,
"min": 130.36,
"std": 0.0
},
{
"layer_name": " [model/block_12_expand_relu/Relu6;model/block_12_expand_BN/FusedBatchNormV3;model/block_11_depthwise_BN/FusedBatchNormV3;model/block_11_depthwise/depthwise;model/block_13_expand/Conv2D;model/block_12_expand/Conv2D]:47",
"max": 1187.36,
"mean": 1187.36,
"min": 1187.36,
"std": 0.0
},
{
"layer_name": " [model/block_12_depthwise_relu/Relu6;model/block_12_depthwise_BN/FusedBatchNormV3;model/block_12_depthwise/depthwise;model/block_13_expand/Conv2D]:48",
"max": 773.0200000000001,
"mean": 773.0200000000001,
"min": 773.0200000000001,
"std": 0.0
},
{
"layer_name": " [model/block_12_project_BN/FusedBatchNormV3;model/block_12_project/Conv2D1]:49",
"max": 978.4399999999999,
"mean": 978.4399999999999,
"min": 978.4399999999999,
"std": 0.0
},
{
"layer_name": " [model/block_12_add/add]:50",
"max": 128.48000000000002,
"mean": 128.48000000000002,
"min": 128.48000000000002,
"std": 0.0
},
{
"layer_name": " [model/block_13_expand_relu/Relu6;model/block_13_expand_BN/FusedBatchNormV3;model/block_11_depthwise_BN/FusedBatchNormV3;model/block_11_depthwise/depthwise;model/block_13_expand/Conv2D]:51",
"max": 1496.3999999999999,
"mean": 1496.3999999999999,
"min": 1496.3999999999999,
"std": 0.0
},
{
"layer_name": " [model/activation/Relu;model/batch_normalization/FusedBatchNormV3;conv2d/bias;model/conv2d/BiasAdd;model/conv2d_5/Conv2D;model/conv2d/Conv2D1]:52",
"max": 3532.42,
"mean": 3532.42,
"min": 3532.42,
"std": 0.0
},
{
"layer_name": " [model/conv2d_1/Conv2D/SpaceToBatchND]:53",
"max": 470.38,
"mean": 470.38,
"min": 470.38,
"std": 0.0
},
{
"layer_name": " [model/conv2d_1/Conv2D1]:54",
"max": 36005.0,
"mean": 36005.0,
"min": 36005.0,
"std": 0.0
},
{
"layer_name": " [model/conv2d_1/Conv2D/BatchToSpaceND]:55",
"max": 202.76,
"mean": 202.76,
"min": 202.76,
"std": 0.0
},
{
"layer_name": " [model/conv2d_1/BiasAdd]:56",
"max": 667.8199999999999,
"mean": 667.8199999999999,
"min": 667.8199999999999,
"std": 0.0
},
{
"layer_name": " [model/batch_normalization_1/FusedBatchNormV32]:57",
"max": 458.38,
"mean": 458.38,
"min": 458.38,
"std": 0.0
},
{
"layer_name": " [model/activation_1/Relu;model/batch_normalization_1/FusedBatchNormV3]:58",
"max": 657.5600000000001,
"mean": 657.5600000000001,
"min": 657.5600000000001,
"std": 0.0
},
{
"layer_name": " [model/conv2d_2/Conv2D/SpaceToBatchND]:59",
"max": 761.42,
"mean": 761.42,
"min": 761.42,
"std": 0.0
},
{
"layer_name": " [model/conv2d_2/Conv2D1]:60",
"max": 38082.799999999996,
"mean": 38082.799999999996,
"min": 38082.799999999996,
"std": 0.0
},
{
"layer_name": " [model/conv2d_2/Conv2D/BatchToSpaceND]:61",
"max": 170.22,
"mean": 170.22,
"min": 170.22,
"std": 0.0
},
{
"layer_name": " [model/conv2d_2/BiasAdd]:62",
"max": 662.38,
"mean": 662.38,
"min": 662.38,
"std": 0.0
},
{
"layer_name": " [model/batch_normalization_2/FusedBatchNormV32]:63",
"max": 452.12,
"mean": 452.12,
"min": 452.12,
"std": 0.0
},
{
"layer_name": " [model/activation_2/Relu;model/batch_normalization_2/FusedBatchNormV3]:64",
"max": 656.72,
"mean": 656.72,
"min": 656.72,
"std": 0.0
},
{
"layer_name": " [model/conv2d_3/Conv2D/SpaceToBatchND]:65",
"max": 1084.3799999999999,
"mean": 1084.3799999999999,
"min": 1084.3799999999999,
"std": 0.0
},
{
"layer_name": " [model/conv2d_3/Conv2D1]:66",
"max": 39409.799999999996,
"mean": 39409.799999999996,
"min": 39409.799999999996,
"std": 0.0
},
{
"layer_name": " [model/conv2d_3/Conv2D/BatchToSpaceND]:67",
"max": 188.48000000000002,
"mean": 188.48000000000002,
"min": 188.48000000000002,
"std": 0.0
},
{
"layer_name": " [model/conv2d_3/BiasAdd]:68",
"max": 663.8199999999999,
"mean": 663.8199999999999,
"min": 663.8199999999999,
"std": 0.0
},
{
"layer_name": " [model/batch_normalization_3/FusedBatchNormV32]:69",
"max": 457.17999999999995,
"mean": 457.17999999999995,
"min": 457.17999999999995,
"std": 0.0
},
{
"layer_name": " [model/activation_3/Relu;model/batch_normalization_3/FusedBatchNormV3]:70",
"max": 661.28,
"mean": 661.28,
"min": 661.28,
"std": 0.0
},
{
"layer_name": " [model/global_average_pooling2d/Mean]:71",
"max": 17070.3,
"mean": 17070.3,
"min": 17070.3,
"std": 0.0
},
{
"layer_name": " [model/reshape/Shape]:72",
"max": 3.22,
"mean": 3.22,
"min": 3.22,
"std": 0.0
},
{
"layer_name": " [model/reshape/strided_slice]:73",
"max": 1.82,
"mean": 1.82,
"min": 1.82,
"std": 0.0
},
{
"layer_name": " [model/reshape/Reshape/shape]:74",
"max": 8.88,
"mean": 8.88,
"min": 8.88,
"std": 0.0
},
{
"layer_name": " [model/reshape/Reshape]:75",
"max": 5.42,
"mean": 5.42,
"min": 5.42,
"std": 0.0
},
{
"layer_name": " [model/activation_4/Relu;model/batch_normalization_4/FusedBatchNormV3;conv2d_4/bias;model/conv2d_4/BiasAdd;model/conv2d_5/Conv2D;model/conv2d_4/Conv2D1]:76",
"max": 112.06,
"mean": 112.06,
"min": 112.06,
"std": 0.0
},
{
"layer_name": " [model/up_sampling2d/resize/ResizeBilinear]:77",
"max": 1977.74,
"mean": 1977.74,
"min": 1977.74,
"std": 0.0
},
{
"layer_name": " [model/concatenate/concat]:78",
"max": 780.42,
"mean": 780.42,
"min": 780.42,
"std": 0.0
},
{
"layer_name": " [model/activation_5/Relu;model/batch_normalization_5/FusedBatchNormV3;conv2d_5/bias;model/conv2d_5/BiasAdd;model/conv2d_5/Conv2D1]:79",
"max": 13937.0,
"mean": 13937.0,
"min": 13937.0,
"std": 0.0
},
{
"layer_name": " [model/conv2d_6/BiasAdd;model/conv2d_6/Conv2D;conv2d_6/bias1]:80",
"max": 971.02,
"mean": 971.02,
"min": 971.02,
"std": 0.0
},
{
"layer_name": " [StatefulPartitionedCall:01]:81",
"max": 44388.399999999994,
"mean": 44388.399999999994,
"min": 44388.399999999994,
"std": 0.0
},
{
"layer_name": " [StatefulPartitionedCall:0]:82",
"max": 8222.300000000001,
"mean": 8222.300000000001,
"min": 8222.300000000001,
"std": 0.0
}
],
"max": 330465.0,
"mean": 303536.0,
"min": 278726.0,
"std": 12138.0,
"troughput": null
},
"load_accelerator": null,
"load_cpu": 61,
"model_file_name": "deeplab_v3_mobilenetv2_05_16_512_asppv1_int8.tflite",
"model_size": 2835256,
"nb_inference": 50,
"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": 1.0411741254786342,
"ram_size": 3976114176,
"target": "rpi4b",
"target_id": "0000019c716362ba976cf0240430d8609d2545907baf474a564f4d508e331fdf",
"temperature": null,
"version": 0,
"version_tag": ""
}