Shareable benchmark cards — the GeekBench of on-device LLMs

Added shareable benchmark cards — run a model, get a card you can post anywhere. The idea is simple: GeekBench lets you share CPU scores with a link. Why can't on-device LLM benchmarks work the same way? Each card captures decode speed, TTFT, prefill rate, P95 latency, model name, and device info in a format that's useful whether you're posting to X or dropping into a GitHub issue. Also stood up a 4-job CI pipeline with automated benchmark runs. 102 Swift source files, 123 test files. The test count is already absurd for a v1.0 and I love it.