TRIBUNAL TELEMETRY VERIFIED APPLE M5 ULTRA · 256 GB UNIFIED MEMORY
Enterprise AI Reliability Benchmark v1.0 · 72 Cryptographic Receipts

The $0-Token 256GB M5 Ultra vs. Cloud API Live AI Tribunal

Can local quantized weights on Apple Silicon replace metered frontier APIs on high-stakes production QA gates? We ran 18 deterministic enterprise reliability gates across Blind-Solver Answer-Leak Detection, Refusal-Aware Prompt-Injection Grading, and Dirty-Ops Multi-Timezone JSON Extraction comparing local 4-bit MLX models on a 256GB Apple M5 Ultra against Claude Sonnet 4.6 and GPT-4o over HTTPS.

Local Node Hardware Fingerprint
SystemMac Studio (Mac17,15)
SiliconApple M5 Ultra
Compute30-Core CPU · 64-Core Metal 4 GPU
Unified RAM256 GB LPDDR5X Unified Memory
Active Footprint23.4 GB / 256 GB (9.1% used)
Marginal Token Cost$0.00 / 100,000 runs

01 // Head-to-Head Tribunal Leaderboard

Temperature = 0.0 · Identical JSON Schema Prompts · 18 Deterministic Cases per Model
Model / Runtime Tier Accuracy Suite A (Leak) Suite B (Inject) Suite C (JSON) False-Pass Rate Median Latency Throughput Cost / 100k Runs

02 // CTO "Token Tax" & Local CapEx Payback Calculator

Calibrated to real token counts & upstream billing captured in this benchmark run
MONTHLY PRODUCTION QA / EXTRACTION VOLUME 1,000,000 runs / mo
Estimated Annual Cloud Token Tax Saved
$0
Cloud Monthly API Spend$0
M5 Ultra Monthly Spend$0
M5 Ultra Node Capacity (Qwen3-32B)0%
256GB M5 Ultra ($6,999) Payback--

03 // Cryptographic Per-Case Receipt Inspector (72 Live Runs)

Click any case to audit exact inputs, raw model JSON, latency, cost, and SHA-256 receipt hashes