Files
momentry_core/docs/M4_VS_M5_COMPARISON.md
Accusys 39ba5ddf76 feat: Phase 1 handover - schema migration, correction mechanism, API fixes
Schema changes: dev.chunks->dev.chunk, remove old_chunk_id/chunk_index
Correction: asr-1.json format, generate/apply scripts
API: 37/37 endpoints fixed and tested
Docs: HANDOVER_V2.0.md for M4
2026-05-11 07:03:22 +08:00

3.2 KiB

M4 vs M5 Max Comparison

Hardware

Spec M4 (Mac Mini) M5 (MacBook Pro)
Model Mac Mini (M4) MacBook Pro (M5 Max)
Hostname accusys-Mac-mini-M4-2.local Accusyss-MacBook-Pro.local
macOS 26.4.1 (Sequoia) 26.4.1 (Sequoia)
RAM 16 GB 48 GB
CPU Cores 10 18
Disk 2TB (est.) 1.8TB (12GB used, 97% free)
Network 192.168.110.210, 192.168.110.200 192.168.110.201, 192.168.31.182

Installed Services

Service M4 M5
PostgreSQL 18.1 (Homebrew) 18.3 (Source build)
pgvector Homebrew 0.8.2 (Source build)
Redis 8.4.0 (Homebrew) 7.4.3 (Source build)
Qdrant Homebrew/pre-built 1.17.1 (Source build, cargo)
MongoDB Homebrew 8.2.7 (Homebrew)
MariaDB ✗ via brew 12.2.2 (Homebrew, for WordPress)
PHP ✗ via brew 8.5.5 (Homebrew, WordPress ext. )
SFTPGo Pre-built binary 2.7.1 (Source build, patched dep)
FFmpeg 8.1 (Homebrew) 8.1.1 (Homebrew)
OpenCode 1.14.39 1.14.39
Gemma4 LLM ✗ (not enough RAM) 31B Q5_K_M @ 8081

Build Approach

Aspect M4 M5
PostgreSQL brew install postgresql@18 ./configure && make && make install
Redis brew install redis make && cp src/redis-server ~/redis/bin/
Qdrant brew install qdrant cargo build --release --bin qdrant (from GitHub)
SFTPGo brew install sftpgo git clone && go build (patched go-m1cpu)
Philosophy Mixed (Homebrew + binary) Source-first (GitHub source, checksums recorded)

Data Migration (M4 → M5)

Data Size Status
Database (dev schema) 837MB dump Restored (16 tables)
Video file 2.2GB Transferred
output_dev JSON 2.9GB (462 files) Transferred
output JSON 65MB (2523 files) Transferred
Configs small Transferred

Database Row Counts (M5)

Table Rows
pre_chunks 494,339
face_detections 6,211
tkg_nodes 2,414
identity_bindings 2,347
tkg_edges 1,320

Key Differences

1. RAM (16GB vs 48GB)

  • M4 (16GB): Cannot run Gemma4 31B LLM locally. Memory pressure during concurrent pipeline processing.
  • M5 (48GB): Can run Gemma4 31B (Q5_K_M, ~20GB) + databases + playground simultaneously.

2. Build Philosophy

  • M4: Quick setup via Homebrew bottles (pre-compiled).
  • M5: Source-first — every service built from GitHub/official source. SHA256 checksums recorded. Dependencies patched as needed (SFTPGo go-m1cpu).

3. Unique M5 Services

  • MariaDB + PHP: Installed for WordPress/marcom portal development.
  • Gemma4 LLM: Running on port 8081, accessible for RAG/identity clustering.
  • OpenCode: Configured with Gemma4 provider for AI-assisted development.

4. Data Freshness

  • M5 is a snapshot of M4's state at 2026-05-06 (commit bac6c2d). Changes made on M4 after sync date must be re-synced.