Absolute Accuracy
Ranked purely on the highest reported test accuracy, independent of model size, compute, or memory footprint. A team's result is its single best submission. There is no penalty for the number of attempts.
Submission Accuracy
Each point is one submission, positioned by the date it was made.
Submission Results
Teams are shown once, ranked by their best accuracy. Expand a row to see a team's other submissions.
Compute Efficiency
Ranks the trade-off between accuracy, compute (effective MACs + effective ACs), and memory footprint. Two independent scoring strategies were developed and are both reported below for transparency.
NeuroEfficiency Score (NES)
Accuracy minus a log-penalty for compute+footprint, self-normalized per submission
Accuracy vs. Weighted-Ops
Log-scaled x-axis. Ringed points sit on the Pareto front — no submission beats them on accuracy, ops, and footprint simultaneously.
Best NES per team
Each team's highest-scoring submission.
Results — Eval Strategy 1
Normalized Balanced Score (NBS)
Accuracy x Savings Score, normalized against the pool, but skewed by outliers
Accuracy vs. Footprint
Log-scaled x-axis.
Best NBS per team
Each team's highest-scoring submission.