vllm-omni/benchmarks/tts/edge_results

Edge benchmark results

Committed JSON produced by the edge branch benchmarks (kept small; WAVs are never committed):

• stream_latency/<model>/<deploy>/<timestamp>[_tag].json — stream_latency_bench.py output (schema 1): meta (model, deploy config, git SHA, GPU), init (init_s, optional init timeline), resources (peak RSS, peak GPU MiB, sampling mode), requests[] (per-chunk arrivals, TTFA, playback-start, stall at TTFA, RTF streamed / total) and summary (p50/p90/max).
• init_profile/<timestamp>/summary.json — init_profile.py comparison of initialization phases per configuration.
• hw_emulation/<timestamp>/summary.json — hw_emulation.py matrix (emulated hardware class x TTFA / playback-start / RTF / RSS; per-case bench JSON, hw_profile.json and init timeline next to it).
• cpu_sweep/<timestamp>/summary.json — cpu_thread_sweep.py (CPU-only 8/16/32 threads + inductor variant, with per-step attribution).
• stream_latency/step_stats/<timestamp>/*.json — raw per-process counters from --step-stats (merged into the bench JSON under step_stats).
• codec_stream/ — codec_stream_e2e.py parity (server PCM vs client-decoded codec tokens, SNR) and client latency.
• stream_latency/timelines/ — init timelines (VLLM_OMNI_INIT_TIMELINE) of the committed runs.

Metric definitions live in benchmarks/tts/stream_latency_metrics.py.