124172 - rpi5 tflite
Summary: Pipeline succeeded and valid report was generated.
Model Details
- model name : movenet_lightning_heatmaps_256_int8_pt.tflite
- model url : Download here
Logs Details
user.log
[33mWarning: Permanently added '192.168.99.10' (ED25519) to the list of known hosts.
[0m
[33mINFO: Created TensorFlow Lite XNNPACK delegate for CPU. [0merror.log
Report Details
report.json
{
"GFLOPs": null,
"accuracy": null,
"ambiant_temperature": null,
"benchmark_type": "TYPE1",
"date": "2026-04-14T23:10:57.",
"energy_efficiency": null,
"flash_size": 62225408000,
"flash_usage": 0.0038818612487040664,
"inference_engine": "tflite",
"inference_latency": {
"latency_per_layers": [
{
"layer_name": " Delegate/Convert (NC QS8 F32):19",
"max": 19.040000000000003,
"mean": 19.040000000000003,
"min": 19.040000000000003,
"std": 0.0
},
{
"layer_name": " Delegate/Sigmoid (NC QS8):18",
"max": 24.580000000000002,
"mean": 24.580000000000002,
"min": 24.580000000000002,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:17",
"max": 90.86,
"mean": 90.86,
"min": 90.86,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:16",
"max": 140.46,
"mean": 140.46,
"min": 140.46,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) DWConv:15",
"max": 83.96000000000001,
"mean": 83.96000000000001,
"min": 83.96000000000001,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:14",
"max": 104.46,
"mean": 104.46,
"min": 104.46,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) DWConv:13",
"max": 118.16,
"mean": 118.16,
"min": 118.16,
"std": 0.0
},
{
"layer_name": " Delegate/Add (ND QS8):12",
"max": 64.86,
"mean": 64.86,
"min": 64.86,
"std": 0.0
},
{
"layer_name": " Delegate/Resize Bilinear (NHWC S8):11",
"max": 93.82000000000001,
"mean": 93.82000000000001,
"min": 93.82000000000001,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:10",
"max": 80.94,
"mean": 80.94,
"min": 80.94,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) DWConv:9",
"max": 87.12,
"mean": 87.12,
"min": 87.12,
"std": 0.0
},
{
"layer_name": " Delegate/Add (ND QS8):8",
"max": 76.75999999999999,
"mean": 76.75999999999999,
"min": 76.75999999999999,
"std": 0.0
},
{
"layer_name": " Delegate/Resize Bilinear (NHWC S8):7",
"max": 78.56,
"mean": 78.56,
"min": 78.56,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:6",
"max": 84.54,
"mean": 84.54,
"min": 84.54,
"std": 0.0
},
{
"layer_name": " Delegate/Add (ND QS8):4",
"max": 95.04,
"mean": 95.04,
"min": 95.04,
"std": 0.0
},
{
"layer_name": " Delegate/Resize Bilinear (NHWC S8):3",
"max": 109.38000000000001,
"mean": 109.38000000000001,
"min": 109.38000000000001,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_16/clip_by_value;model/depthwise_conv2d_16/depthwise]:99",
"max": 366.06,
"mean": 366.06,
"min": 366.06,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_16/clip_by_value/Minimum]:98",
"max": 5.66,
"mean": 5.66,
"min": 5.66,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_15/clip_by_value;model/depthwise_conv2d_16/depthwise]:93",
"max": 368.14000000000004,
"mean": 368.14000000000004,
"min": 368.14000000000004,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_15/clip_by_value/Minimum]:92",
"max": 5.62,
"mean": 5.62,
"min": 5.62,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_14/clip_by_value;model/depthwise_conv2d_16/depthwise]:87",
"max": 366.26,
"mean": 366.26,
"min": 366.26,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_14/clip_by_value/Minimum]:86",
"max": 5.18,
"mean": 5.18,
"min": 5.18,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_13/clip_by_value;model/depthwise_conv2d_13/depthwise]:82",
"max": 222.45999999999998,
"mean": 222.45999999999998,
"min": 222.45999999999998,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_13/clip_by_value/Minimum]:81",
"max": 3.8,
"mean": 3.8,
"min": 3.8,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_12/clip_by_value;model/depthwise_conv2d_13/depthwise]:75",
"max": 892.7199999999999,
"mean": 892.7199999999999,
"min": 892.7199999999999,
"std": 0.0
},
{
"layer_name": " [tfl.quantize]:0",
"max": 163.34,
"mean": 163.34,
"min": 163.34,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) IGEMM:0",
"max": 273.64,
"mean": 273.64,
"min": 273.64,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) DWConv:1",
"max": 217.07999999999998,
"mean": 217.07999999999998,
"min": 217.07999999999998,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value/clip_by_value/Minimum]:3",
"max": 91.22,
"mean": 91.22,
"min": 91.22,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value/clip_by_value;model/depthwise_conv2d_18/depthwise]:4",
"max": 3138.42,
"mean": 3138.42,
"min": 3138.42,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:0",
"max": 3624.723,
"mean": 3624.723,
"min": 3624.723,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:1",
"max": 1976.303,
"mean": 1976.303,
"min": 1976.303,
"std": 0.0
},
{
"layer_name": " Delegate/Constant Pad (ND X8):2",
"max": 748.6800000000001,
"mean": 748.6800000000001,
"min": 748.6800000000001,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) DWConv:3",
"max": 985.096,
"mean": 985.096,
"min": 985.096,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_1/clip_by_value/Minimum]:9",
"max": 64.19999999999999,
"mean": 64.19999999999999,
"min": 64.19999999999999,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_1/clip_by_value;model/conv2d_42/Conv2D]:10",
"max": 2387.04,
"mean": 2387.04,
"min": 2387.04,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) DWConv:2",
"max": 557.94,
"mean": 557.94,
"min": 557.94,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_2/clip_by_value/Minimum]:14",
"max": 80.25999999999999,
"mean": 80.25999999999999,
"min": 80.25999999999999,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_2/clip_by_value;model/depthwise_conv2d_3/depthwise]:15",
"max": 3571.62,
"mean": 3571.62,
"min": 3571.62,
"std": 0.0
},
{
"layer_name": " Delegate/Add (ND QS8):1",
"max": 1803.2000000000003,
"mean": 1803.2000000000003,
"min": 1803.2000000000003,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:2",
"max": 2504.5570000000002,
"mean": 2504.5570000000002,
"min": 2504.5570000000002,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:3",
"max": 361.38,
"mean": 361.38,
"min": 361.38,
"std": 0.0
},
{
"layer_name": " Delegate/Constant Pad (ND X8):4",
"max": 302.14000000000004,
"mean": 302.14000000000004,
"min": 302.14000000000004,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) DWConv:5",
"max": 170.6,
"mean": 170.6,
"min": 170.6,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_3/clip_by_value/Minimum]:22",
"max": 21.76,
"mean": 21.76,
"min": 21.76,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_3/clip_by_value;model/depthwise_conv2d_3/depthwise]:23",
"max": 884.8399999999999,
"mean": 884.8399999999999,
"min": 884.8399999999999,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_4/clip_by_value/Minimum]:27",
"max": 17.62,
"mean": 17.62,
"min": 17.62,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_4/clip_by_value;model/depthwise_conv2d_6/depthwise]:28",
"max": 1189.32,
"mean": 1189.32,
"min": 1189.32,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_5/clip_by_value/Minimum]:33",
"max": 17.04,
"mean": 17.04,
"min": 17.04,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_5/clip_by_value;model/depthwise_conv2d_6/depthwise]:34",
"max": 1191.1000000000001,
"mean": 1191.1000000000001,
"min": 1191.1000000000001,
"std": 0.0
},
{
"layer_name": " Delegate/Constant Pad (ND X8):3",
"max": 345.4,
"mean": 345.4,
"min": 345.4,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) DWConv:4",
"max": 225.3,
"mean": 225.3,
"min": 225.3,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:5",
"max": 51.02,
"mean": 51.02,
"min": 51.02,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_6/clip_by_value/Minimum]:40",
"max": 5.92,
"mean": 5.92,
"min": 5.92,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_6/clip_by_value;model/depthwise_conv2d_6/depthwise]:41",
"max": 300.02,
"mean": 300.02,
"min": 300.02,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_7/clip_by_value/Minimum]:45",
"max": 7.9,
"mean": 7.9,
"min": 7.9,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_7/clip_by_value;model/depthwise_conv2d_10/depthwise]:46",
"max": 595.6,
"mean": 595.6,
"min": 595.6,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_8/clip_by_value/Minimum]:51",
"max": 8.46,
"mean": 8.46,
"min": 8.46,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_8/clip_by_value;model/depthwise_conv2d_10/depthwise]:52",
"max": 594.26,
"mean": 594.26,
"min": 594.26,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_12/clip_by_value/Minimum]:74",
"max": 11.16,
"mean": 11.16,
"min": 11.16,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_11/clip_by_value;model/depthwise_conv2d_13/depthwise]:69",
"max": 890.5600000000001,
"mean": 890.5600000000001,
"min": 890.5600000000001,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_11/clip_by_value/Minimum]:68",
"max": 12.16,
"mean": 12.16,
"min": 12.16,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_9/clip_by_value/Minimum]:57",
"max": 7.9399999999999995,
"mean": 7.9399999999999995,
"min": 7.9399999999999995,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_9/clip_by_value;model/depthwise_conv2d_10/depthwise]:58",
"max": 594.0999999999999,
"mean": 594.0999999999999,
"min": 594.0999999999999,
"std": 0.0
},
{
"layer_name": " Delegate/Convolution (NHWC QS8) GEMM:4",
"max": 60.14,
"mean": 60.14,
"min": 60.14,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_10/clip_by_value/Minimum]:63",
"max": 8.84,
"mean": 8.84,
"min": 8.84,
"std": 0.0
},
{
"layer_name": " [model/tf.clip_by_value_10/clip_by_value;model/depthwise_conv2d_10/depthwise]:64",
"max": 592.66,
"mean": 592.66,
"min": 592.66,
"std": 0.0
}
],
"max": 81114.0,
"mean": 34243.0,
"min": 22227.0,
"std": 17823.0,
"troughput": null
},
"load_accelerator": null,
"load_cpu": 43.88235294117647,
"model_file_name": "movenet_lightning_heatmaps_256_int8_pt.tflite",
"model_size": 2415504,
"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": 0.4820524309270625,
"ram_size": 4241702912,
"target": "rpi5",
"target_id": "rpi5-0002-0000",
"temperature": null,
"version": 0,
"version_tag": ""
}