SPRADB8 may 2023 AM62A3 , AM62A7
Table 3-1 shows benchmarks on the AM62A running the Linux Edge AI SDK version 8.6 on the Starter Kit EVM revision E2. Note that these numbers reflect 1.7 TOPS of maximum performance, as the E2 EVM’s PMIC supplies 0.75 VDD core voltage. Achieving the full 2 TOPS requires 0.85 VDD. EVMs after E2 will use the updated PMIC for full performance entitlement.
Model Name | Accuracy (C7xMMA) | Frames-per-Second (C7xMMA) | Frames-per-Second (CPU) | Resolution |
---|---|---|---|---|
Classification Network – Accuracy is Top1 Metric | ||||
TFL-CL-0010-mobileNetV2 | 74.51 | 251 | 5.5 | 224 x 224 |
Object Detection Network – Accuracy is mAP50-95 | ||||
TFL-OD-2000-ssd-mobV1-coco-mlperf-300x300 | 26.14 | 152 | 2.4 | 300 x 300 |
TI’s model zoo hosts many more models that are pretrained and fully accelerated on the C7xMMA. The most up-to-date benchmarks (relative to software and EVM version) can be found in TI’s Model Analyzer tool [1].