SIA-v6 BENCHMARK DATASET — COMPLETE RESULTS

Complete benchmark dataset for the Symplectic Inference Architecture v6 (SIA-v6), a deterministic, self-healing AI computation engine built on symplectic physics. Total: 1,565/1,565 test points PASSED (100% pass rate)Grade: S+ FORTRESS Breakdown:- 700-Point Benchmark: 700/700 (10 categories: determinism, conservation, adversarial defense, IEEE-754 stability, latency, topology, O(1) memory, holographic, pipeline integration, Jacobian)- FORTRESS Adversarial Audit: 68/68 (14 stress categories)- Sovereign Audit: 80/80 (6 phases)- Unit Tests: 389/389 Key metrics:- Hamiltonian drift: 3.2e-15 (machine epsilon)- Bit-identical determinism: 200/200 trials- Adversarial attacks repaired: 200/200- Warm latency: 0.113ms- Throughput: 2.45M ops/sec- Memory scaling: O(1) (0.281 KB peak) Part of the Savage Ontology V2 framework.IP anchored to Ethereum Mainnet across 4 independent timestamps.Live verification: https://savageaistudios.com/proof Author: Nicholas Savage — Savage AI Studios / INFINY 23Contact: Nick@savage-ai-studios.comORCID: 0009-0002-6973-7652