硅谷监控

SiliconScope

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A sudoless Apple Silicon system monitor — a native SwiftUI dashboard and a full menu-bar suite — with first-class ANE (Neural Engine), Media Engine, and memory-bandwidth tracking that Activity Monitor and terminal monitors don't surface.

Born from wanting to see how on-device AI and media workloads drive the Apple Silicon accelerators — and grown into a daily-driver monitor that can stand in for iStat Menus.

**New in 4.0 — it watches your other machines too. A headless Mac mini, a Linux GPU box under the desk, a rented cloud instance: run a small agent there and it joins the same dashboard, over an encrypted, paired connection. Remote Macs keep the full treatment, Neural Engine included**.

Featured on OWC Rocket Yard (US), AAPL Ch. (JP) and ifun.de (DE).

One M1 Max under a real load — LM Studio generating on gemma-4-12b. The workload classifier reads ANE (CoreML), the GPU is at 97 % and 39 W, memory bandwidth is 223 GB/s against the chip's 400 GB/s ceiling, and the CPU card is outlined red because the P-cluster is thermally throttled — 2272 of 3228 MHz, stated as a fact rather than an alarm. Colour is spent only where something needs attention: amber on memory pressure, red on the throttle, neutral everywhere else. The bar along the bottom is Replay (new in 3.0): every metric is recorded, so you can scrub back through a session like a DVR.

Highlights

- Process Inspector (new in 3.0) — focus one process for CPU (P/E split), IPC, per-process power (W), memory, disk, and Neural-Engine memory — all sudoless - Record & Replay (new in 3.0) — record every metric to a .ssrec file and replay the dashboard with play / pause / scrub / speed, like a DVR - AI Workload view — a bottleneck classifier (bandwidth-bound / compute-bound / thermal-throttled / memory-pressured), judged against each chip's spec bandwidth ceiling — answers "what's limiting my local LLM right now?" - E-core / P-core split — per-cluster utilization + real DVFS frequency - GPU — utilization, power, frequency - ANE & Media Engine — Neural-Engine power and media-codec bandwidth (the differentiators) - Memory bandwidth — CPU / GPU / Media / total GB/s (the local-LLM bottleneck signal) - Memory — Wired / Active / Compressed / Free stacked bar + macOS memory-pressure alerts - Network ↑/↓ and Disk read/write + free space, with live graphs - Per-unit temperatures — real E-Core / P-Core / GPU / Memory sensors via curated per-generation SMC keys (M1–M5; HID fallback on others), fan RPM, thermal pressure, and GPU throttle detection (clock held below its rolling peak under pressure) - Battery — charge state, health %, cycle count, condition (AppleSmartBattery) - Power — per-domain CPU / GPU / ANE / DRAM / SoC, plus battery - Processes — sort, filter, kill, and click to inspect (in-card scroll) - Per-metric menu-bar items — pin CPU / GPU / Memory / Network / SSD / Sensors / Battery each to its own menu-bar glyph + dropdown (plus the combined "SS" cockpit glyph) - Auto-update — built-in Sparkle updater; "Check for Updates…" in the menu - No sudo required.