12th Gen i5 System Specs | Generated by AI
Here’s the full resource picture:
CPU — 12th Gen Intel Core i5-12450H
| Cores | Threads | Sockets | Current Load |
|---|---|---|---|
| 8 cores (P+E) | 12 threads | 1 | 0.35 / 0.17 / 0.10 (idle) |
- Hybrid architecture: 4 performance-cores + 4 efficiency-cores, hyperthreaded to 12 threads
- Currently idling with negligible load — plenty of headroom
Memory — 15 GiB RAM + 2 GiB Swap
| Type | Total | Used | Available |
|---|---|---|---|
| RAM | 15.4 GiB | 7.6 GiB | 7.8 GiB free |
| Swap | 2.0 GiB | 0.1 GiB | 1.9 GiB free |
- About half of RAM is in use (browser, apps), but still ~8 GiB available for workloads
- Swap is barely touched
Disk — 468 GB NVMe
| Total | Used | Free |
|---|---|---|
| 468 GB | 49 GB | 396 GB |
What we can run comfortably here:
- LLM inference — can run small to medium models (7B-14B quantized via llama.cpp, Ollama, etc.)
- Multiple containers / Docker — no problem with 8 cores and 8 GB free RAM
- Heavy compilation (kernel, LLVM, game engines) — CPU will be the bottleneck, not RAM/disk
- Data processing — can handle multi-GB datasets in memory
- Machine learning training — fine-tuning small models or batch jobs, but no dedicated GPU (relies on CPU only)
Limitations:
- No dedicated GPU — no CUDA, so ML training / large model inference is CPU-bound only
- 15 GB RAM means models above ~13B parameters (even quantized) would push into swap