Community Contributed Model
Overview
The Community Contributed Model section collects benchmarking information for models contributed by developers and partners worldwide. These entries are intended for evaluation and reference only and may not provide a complete end-to-end workflow.
In particular:
Source training code and original datasets are typically not provided.
Conversion steps from the original framework to deployment formats (for example, TFLite or DLA) may be undocumented.
Only inference performance and basic configuration details are recorded.
Use these models primarily to understand achievable performance on MediaTek Genio platforms and as inspiration for building your own optimized pipelines.
Benchmark Results
The following table summarizes performance results for community‑contributed models:
Model Name |
Source model type |
Data Type |
Input Size |
Genio 510 |
Genio 700 |
Genio 1200 |
Genio 520 |
Gneio 720 |
MobileNetV1 |
.tflite |
Quant8 |
224x224 |
1.28 |
1.04 |
1.05 |
0.93 |
0.92 |
YOLOv11s-quant8 |
.tflite |
Quant8 |
640x640 |
27.04 |
19.04 |
Not Supported |
8.56 |
8.52 |
YOLOv11s-FP32 |
.tflite |
FP32 |
640x640 |
72.03 |
50.04 |
Not Supported |
24.94 |
24.93 |
Note
N/A entries in the table indicate that the data is unavailable because the corresponding TFLite model contains the BATCH_MATMUL operator, which MDLA 2.0 does not support.