Core AI model zoo

Community Benchmarks

Thank you to the contributors

Every row below exists because someone ran the bench on their own device and sent the result in.

Community field data — measured by the Bench tab of the CoreAI Zoo app on contributors’ own devices and submitted as bench-result issues (the public audit log — closing an issue does not remove its row). The app measures and builds the result blob; no number in this table was typed by a human. This is NOT a controlled-environment benchmark — background load and heat show up here as real-world variance. For the maintainer’s controlled numbers see each model card.

One table per protocol. Cell = median across submissions of each submission’s median warm decode tok/s; n = accepted submissions. Cells with n < 3 are provisional (marked *). Blobs with Low Power Mode on or a serious/critical thermal state before the run are excluded from medians (counted below). Model load time is not published (the app’s load_s includes a first download). Devices are the utsname.machine id; ids without a marketing name yet show raw.

Add your device: install CoreAI Zoo from the App Store → Bench tab → pick a chat model → Run → Submit on GitHub. Your device becomes a row here on the next aggregation (python3 scripts/aggregate_bench.py).

Generated by scripts/aggregate_bench.py — do not edit by hand. Last run: 2026-10-02 13:39 UTC.

zoo-chat-v1 — decode tok/s (median warm)

Protocol zoo-chat-v1 (live — CoreAI Zoo 2.0+, Bench tab): a fixed text prompt (“Explain, in detail, how a transformer language model generates text one token at a time…”, ~52–56 tokens depending on the tokenizer) → 256 greedy decode tokens, S=1 prefill (COREAI_CHUNK_THRESHOLD=1), 1 cold + 3 warm runs, session reset before every run so each run is a full prefill, measured through the kit ChatSession — the app’s real chat path. decode tok/s is the 32-token rolling-window steady-state rate; prefill tok/s = prompt tokens / TTFT.

Device qwen3-0.6b qwen3-4b qwen3.5-0.8b qwen3.5-2b minicpm5-1b minicpm5-2b qwen3.6-27b qwen3.8-27b
iPhone 18 Pro Max (A20 Pro, iPhone19,7) — — — 48.9* (n=1) 101.2* (n=1) — — —
iPhone 17 (A19, iPhone18,3) — — — — 59.1* (n=1) — — —
iPhone 17 Pro (A19 Pro, iPhone18,1) — — — — — 25.3* (n=1) — —
MacBook Pro 16-inch 2024 (M4 Pro, Mac16,7) 376.8* (n=1) 71.0* (n=1) 180.6* (n=1) 99.1* (n=1) 205.5* (n=1) 90.4* (n=1) 8.7* (n=1) 8.6* (n=1)

pb-random-v1 — decode tok/s (median warm)

Protocol pb-random-v1 (July 2026 CoreAIChat TestFlight build, no longer produced — kept as the historical table): fixed 128-token random prompt (seed 0) → 256 greedy decode tokens, S=1 prefill (COREAI_CHUNK_THRESHOLD=1), 1 cold + 3 warm runs on a freshly created engine. Raw token ids fed to a forked engine, so its numbers are not byte-comparable with zoo-chat-v1.

Device qwen3.5-0.8b
iPhone 17 Pro (A19 Pro, iPhone18,1) 68.4* (n=1)

Accepted submissions: 13 · excluded by environment filter: 0 · rejected (schema/protocol): 0