Their image classification benchmarks include both: https://pub.sakana.ai/pc-alm/assets/figures/benchmark_accura...

~74% on CIFAR-10. Still a far cry from backprop.

I didn't see ImageNet. TinyImageNet is something else.

There might be only one paper that's trained on full Imagenet using methods like these.

Training a Predictive Coding Network on ImageNet using Equilibrium Propagation Tugdual Kerjan, Rasmus Høier, Benjamin Scellier https://arxiv.org/abs/2606.03584

It's quite an undertaking.