124254 - stm32l4r9 x-cube-ai

Start Benchmarking

{
  "GFLOPs": null,
  "accuracy": null,
  "ambiant_temperature": null,
  "benchmark_type": "TYPE1",
  "date": "2026-04-14T22:30:46.",
  "energy_efficiency": null,
  "flash_size": 2097152,
  "flash_usage": 11.78,
  "inference_engine": "x-cube-ai",
  "inference_latency": {
    "latency_per_layers": [
      {
        "layer_name": "0",
        "max": 1542.0,
        "mean": 1542.0,
        "min": 1542.0,
        "std": 0.0
      },
      {
        "layer_name": "1",
        "max": 26711.0,
        "mean": 26709.55,
        "min": 26708.0,
        "std": 0.9733961166965891
      },
      {
        "layer_name": "2",
        "max": 411.0,
        "mean": 411.0,
        "min": 411.0,
        "std": 0.0
      },
      {
        "layer_name": "3",
        "max": 5406.0,
        "mean": 5403.65,
        "min": 5403.0,
        "std": 0.7921489758877429
      },
      {
        "layer_name": "4",
        "max": 4885.0,
        "mean": 4884.8,
        "min": 4884.0,
        "std": 0.39999999999999997
      },
      {
        "layer_name": "5",
        "max": 216.0,
        "mean": 215.1,
        "min": 215.0,
        "std": 0.30000000000000004
      },
      {
        "layer_name": "6",
        "max": 2624.0,
        "mean": 2623.65,
        "min": 2623.0,
        "std": 0.4769696007084729
      },
      {
        "layer_name": "7",
        "max": 3062.0,
        "mean": 3061.25,
        "min": 3060.0,
        "std": 0.5361902647381804
      },
      {
        "layer_name": "8",
        "max": 95.0,
        "mean": 94.1,
        "min": 94.0,
        "std": 0.30000000000000004
      },
      {
        "layer_name": "9",
        "max": 5140.0,
        "mean": 5139.65,
        "min": 5139.0,
        "std": 0.47696960070847283
      },
      {
        "layer_name": "10",
        "max": 4503.0,
        "mean": 4501.95,
        "min": 4501.0,
        "std": 0.6689544080129826
      },
      {
        "layer_name": "11",
        "max": 94.0,
        "mean": 93.1,
        "min": 93.0,
        "std": 0.30000000000000004
      },
      {
        "layer_name": "12",
        "max": 1316.0,
        "mean": 1315.1,
        "min": 1315.0,
        "std": 0.3
      },
      {
        "layer_name": "13",
        "max": 2376.0,
        "mean": 2373.1,
        "min": 2372.0,
        "std": 1.1789826122551597
      },
      {
        "layer_name": "14",
        "max": 57.0,
        "mean": 56.05,
        "min": 56.0,
        "std": 0.21794494717703367
      },
      {
        "layer_name": "15",
        "max": 2678.0,
        "mean": 2676.7,
        "min": 2676.0,
        "std": 0.5567764362830022
      },
      {
        "layer_name": "16",
        "max": 3882.0,
        "mean": 3878.55,
        "min": 3876.0,
        "std": 1.3955285736952863
      },
      {
        "layer_name": "17",
        "max": 57.0,
        "mean": 57.0,
        "min": 57.0,
        "std": 0.0
      },
      {
        "layer_name": "18",
        "max": 718.0,
        "mean": 717.7,
        "min": 717.0,
        "std": 0.45825756949558394
      },
      {
        "layer_name": "19",
        "max": 2309.0,
        "mean": 2304.9,
        "min": 2304.0,
        "std": 1.3379088160259651
      },
      {
        "layer_name": "20",
        "max": 45.0,
        "mean": 45.0,
        "min": 45.0,
        "std": 0.0
      },
      {
        "layer_name": "21",
        "max": 1417.0,
        "mean": 1416.5,
        "min": 1416.0,
        "std": 0.5
      },
      {
        "layer_name": "22",
        "max": 4069.0,
        "mean": 4065.55,
        "min": 4065.0,
        "std": 1.16081867662439
      },
      {
        "layer_name": "23",
        "max": 44.0,
        "mean": 44.0,
        "min": 44.0,
        "std": 0.0
      },
      {
        "layer_name": "24",
        "max": 1417.0,
        "mean": 1416.35,
        "min": 1416.0,
        "std": 0.4769696007084729
      },
      {
        "layer_name": "25",
        "max": 4072.0,
        "mean": 4067.35,
        "min": 4065.0,
        "std": 2.8155816450602176
      },
      {
        "layer_name": "26",
        "max": 45.0,
        "mean": 45.0,
        "min": 45.0,
        "std": 0.0
      },
      {
        "layer_name": "27",
        "max": 1417.0,
        "mean": 1416.55,
        "min": 1416.0,
        "std": 0.49749371855330987
      },
      {
        "layer_name": "28",
        "max": 4072.0,
        "mean": 4065.65,
        "min": 4065.0,
        "std": 1.8241436346954698
      },
      {
        "layer_name": "29",
        "max": 44.0,
        "mean": 44.0,
        "min": 44.0,
        "std": 0.0
      },
      {
        "layer_name": "30",
        "max": 1417.0,
        "mean": 1416.4,
        "min": 1416.0,
        "std": 0.48989794855663565
      },
      {
        "layer_name": "31",
        "max": 3743.0,
        "mean": 3742.7,
        "min": 3742.0,
        "std": 0.45825756949558405
      },
      {
        "layer_name": "32",
        "max": 45.0,
        "mean": 45.0,
        "min": 45.0,
        "std": 0.0
      },
      {
        "layer_name": "33",
        "max": 1417.0,
        "mean": 1416.5,
        "min": 1416.0,
        "std": 0.5
      },
      {
        "layer_name": "34",
        "max": 8125.0,
        "mean": 8119.15,
        "min": 8116.0,
        "std": 3.1823733281939126
      },
      {
        "layer_name": "35",
        "max": 499.0,
        "mean": 498.45,
        "min": 498.0,
        "std": 0.49749371855331
      },
      {
        "layer_name": "36",
        "max": 646.0,
        "mean": 645.75,
        "min": 645.0,
        "std": 0.4330127018922193
      },
      {
        "layer_name": "37",
        "max": 137.0,
        "mean": 135.55,
        "min": 135.0,
        "std": 0.5894913061275798
      },
      {
        "layer_name": "38",
        "max": 7.0,
        "mean": 7.0,
        "min": 7.0,
        "std": 0.0
      }
    ],
    "max": 100845.0,
    "mean": 100835.2,
    "min": 100829.0,
    "std": 4.388621651498338,
    "troughput": null
  },
  "load_accelerator": null,
  "load_cpu": 100,
  "model_file_name": "fdmobilenet_0.25_128_tfs_int8.tflite",
  "model_size": 206504,
  "nb_inference": 20,
  "nb_parameters_model": null,
  "postprocess_time": {
    "max": null,
    "mean": null,
    "min": null,
    "std": null
  },
  "power_consumption": null,
  "preprocess_time": {
    "max": 0.0,
    "mean": 0.0,
    "min": 0.0,
    "std": 0.0
  },
  "ram_peak_usage": 20.39,
  "ram_size": 655360,
  "target": "stm32l4r9",
  "target_id": "c-stm32l4r9-0000-0000",
  "temperature": null,
  "version": 0,
  "version_tag": ""
}