124211 - qualcommrb3gen2 tflite
124211 - qualcommrb3gen2 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
[33mINFO: Created TensorFlow Lite delegate for GPU. [0m
[33mW/Adreno-GSL (37224,37224): <os_lib_map:1488>: os_lib_map error: libadreno_app_profiles.so: cannot open shared object file: No such file or directory, on 'libadreno_app_profiles.so' [0m
[33mW/Adreno-CB (37224,37224): <cl_app_profiles_initialize:104>: Failed to load the app profiles library libadreno_app_profiles.so! [0m
[33mINFO: Initialized OpenCL-based API. [0m
[33mINFO: Created 1 GPU delegate kernels. [0merror.log
Report Details
report.json
{
"GFLOPs": null,
"accuracy": null,
"ambiant_temperature": null,
"benchmark_type": "TYPE1",
"date": "2026-04-14T22:15:53.",
"energy_efficiency": null,
"flash_size": 116249661440,
"flash_usage": 0.00041371647370192974,
"inference_engine": "tflite",
"inference_latency": {
"latency_per_layers": [
{
"layer_name": " Delegate/pad 0 -> quantize_and_dequantize 47:0",
"max": 5.1871,
"mean": 5.1871,
"min": 5.1871,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 1 -> quantize_and_dequantize 48:1",
"max": 70.0903,
"mean": 70.0903,
"min": 70.0903,
"std": 0.0
},
{
"layer_name": " Delegate/pad 2 -> quantize_and_dequantize 49:2",
"max": 9.87097,
"mean": 9.87097,
"min": 9.87097,
"std": 0.0
},
{
"layer_name": " Delegate/pooling_2d 3 -> quantize_and_dequantize 50 -> mul 4 -> quantize_and_dequantize 51 -> add 5 -> relu 6 -> quantize_and_dequantize 52:3",
"max": 13.2452,
"mean": 13.2452,
"min": 13.2452,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 7 -> quantize_and_dequantize 53:4",
"max": 18.5548,
"mean": 18.5548,
"min": 18.5548,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 8 -> relu 9 -> quantize_and_dequantize 54:5",
"max": 18.341900000000003,
"mean": 18.341900000000003,
"min": 18.341900000000003,
"std": 0.0
},
{
"layer_name": " Delegate/pad 10 -> quantize_and_dequantize 55:6",
"max": 3.66452,
"mean": 3.66452,
"min": 3.66452,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 11 -> quantize_and_dequantize 56 -> add 12 -> quantize_and_dequantize 57:7",
"max": 136.35500000000002,
"mean": 136.35500000000002,
"min": 136.35500000000002,
"std": 0.0
},
{
"layer_name": " Delegate/pooling_2d 13 -> quantize_and_dequantize 58:8",
"max": 4.05161,
"mean": 4.05161,
"min": 4.05161,
"std": 0.0
},
{
"layer_name": " Delegate/mul 14 -> quantize_and_dequantize 59 -> add 15 -> relu 16 -> quantize_and_dequantize 60:9",
"max": 3.6387099999999997,
"mean": 3.6387099999999997,
"min": 3.6387099999999997,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 17 -> relu 18 -> quantize_and_dequantize 61:10",
"max": 18.329,
"mean": 18.329,
"min": 18.329,
"std": 0.0
},
{
"layer_name": " Delegate/pad 19 -> quantize_and_dequantize 62:11",
"max": 4.53548,
"mean": 4.53548,
"min": 4.53548,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 20 -> quantize_and_dequantize 63 -> add 21 -> quantize_and_dequantize 64 -> mul 22 -> quantize_and_dequantize 65 -> add 23 -> relu 24 -> quantize_and_dequantize 66:12",
"max": 97.58709999999999,
"mean": 97.58709999999999,
"min": 97.58709999999999,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 25 -> quantize_and_dequantize 67:13",
"max": 18.5548,
"mean": 18.5548,
"min": 18.5548,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 26 -> relu 27 -> quantize_and_dequantize 68:14",
"max": 18.038700000000002,
"mean": 18.038700000000002,
"min": 18.038700000000002,
"std": 0.0
},
{
"layer_name": " Delegate/pad 28 -> quantize_and_dequantize 69:15",
"max": 3.67097,
"mean": 3.67097,
"min": 3.67097,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 29 -> quantize_and_dequantize 70 -> add 30 -> quantize_and_dequantize 71:16",
"max": 270.66499999999996,
"mean": 270.66499999999996,
"min": 270.66499999999996,
"std": 0.0
},
{
"layer_name": " Delegate/pooling_2d 31 -> quantize_and_dequantize 72:17",
"max": 2.75484,
"mean": 2.75484,
"min": 2.75484,
"std": 0.0
},
{
"layer_name": " Delegate/mul 32 -> quantize_and_dequantize 73 -> add 33 -> relu 34 -> quantize_and_dequantize 74:18",
"max": 3.3161300000000002,
"mean": 3.3161300000000002,
"min": 3.3161300000000002,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 35 -> relu 36 -> quantize_and_dequantize 75:19",
"max": 32.1871,
"mean": 32.1871,
"min": 32.1871,
"std": 0.0
},
{
"layer_name": " Delegate/pad 37 -> quantize_and_dequantize 76:20",
"max": 3.65161,
"mean": 3.65161,
"min": 3.65161,
"std": 0.0
},
{
"layer_name": " Delegate/convolution_2d 38 -> quantize_and_dequantize 77 -> add 39 -> quantize_and_dequantize 78 -> mul 40 -> quantize_and_dequantize 79 -> add 41 -> relu 42 -> quantize_and_dequantize 80:21",
"max": 222.761,
"mean": 222.761,
"min": 222.761,
"std": 0.0
},
{
"layer_name": " Delegate/reshape 43 -> quantize_and_dequantize 81:22",
"max": 4.54839,
"mean": 4.54839,
"min": 4.54839,
"std": 0.0
},
{
"layer_name": " Delegate/fully_connected 44 -> quantize_and_dequantize 82:23",
"max": 89.7613,
"mean": 89.7613,
"min": 89.7613,
"std": 0.0
},
{
"layer_name": " Delegate/softmax 45 -> quantize_and_dequantize 83 -> quantize_and_dequantize 46:24",
"max": 3.8838700000000004,
"mean": 3.8838700000000004,
"min": 3.8838700000000004,
"std": 0.0
}
],
"max": 1106.0,
"mean": 1077.25,
"min": 1051.0,
"std": 9.0,
"troughput": null
},
"load_accelerator": null,
"load_cpu": 31.160714285714285,
"model_file_name": "miniresnetv2_2stacks_64x50_tl_int8.tflite",
"model_size": 480944,
"nb_inference": 155,
"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": 1.0002276054093007,
"ram_size": 5632765952,
"target": "qualcommrb3gen2",
"target_id": "c-qualcommrb3gen2-0000-0000",
"temperature": null,
"version": 0,
"version_tag": ""
}