RTX 4070 vs Apple M4: GPU or Apple Silicon for Local AI?
The RTX 4070 is a popular mid-range GPU for local AI and often costs less than newer cards. The Apple M4 powers MacBook Air and Mac Mini, which are complete systems with unified memory. They represent two fundamentally different approaches: dedicated VRAM vs unified memory. This comparison reveals which is better for running LLMs locally.
- NVIDIA RTX 4070 (12 GB)
- 1wins
- Ties
- 1draws
- Apple M4 (16-32 GB unified)
- 3wins
- Categories compared
- 5
Verdict
TieApple M4 with 32 GB unified memory can run larger models (14B+) because it is not limited to 12 GB VRAM. The RTX 4070 is faster per token on models that fit in its 12 GB VRAM. For maximum model size and simplicity, choose M4. For maximum speed on 7B models, choose RTX 4070.
Category-by-category breakdown
| Category | NVIDIA RTX 4070 (12 GB) | Apple M4 (16-32 GB unified) | Winner |
|---|---|---|---|
| Maximum Model Size | 7B Q4 (12 GB VRAM limit) | 14B Q4 (32 GB unified memory) | Apple M4 (16-32 GB unified) |
| Speed on 8B Models | ~73 tok/s (fast GDDR6X) | ~18 tok/s (slower bandwidth) | NVIDIA RTX 4070 (12 GB) |
| Setup Simplicity | Needs Linux/Windows, CUDA drivers | Just install Ollama, works immediately | Apple M4 (16-32 GB unified) |
| Power Consumption | 200W TDP under load | 15-30W total system power | Apple M4 (16-32 GB unified) |
| Total Cost of Ownership | GPU plus a separate PC | Complete Mac system | Tie |
Detailed analysis
Maximum Model Size
Apple M4 (16-32 GB unified)The RTX 4070 is hard-limited to 12 GB VRAM. Models that exceed this must offload to system RAM, which is very slow. M4 unified memory has no such split.
- NVIDIA RTX 4070 (12 GB)
- 7B Q4 (12 GB VRAM limit)
- Apple M4 (16-32 GB unified)
- 14B Q4 (32 GB unified memory)
Speed on 8B Models
NVIDIA RTX 4070 (12 GB)When the model fits in VRAM, the RTX 4070 generates tokens about 4.1x faster than M4 thanks to higher memory bandwidth.
- NVIDIA RTX 4070 (12 GB)
- ~73 tok/s (fast GDDR6X)
- Apple M4 (16-32 GB unified)
- ~18 tok/s (slower bandwidth)
Setup Simplicity
Apple M4 (16-32 GB unified)M4 Mac with Ollama is install-and-go. RTX 4070 requires CUDA setup, driver management, and is not available on macOS.
- NVIDIA RTX 4070 (12 GB)
- Needs Linux/Windows, CUDA drivers
- Apple M4 (16-32 GB unified)
- Just install Ollama, works immediately
Power Consumption
Apple M4 (16-32 GB unified)M4 uses a fraction of the power. For always-on AI inference, the electricity savings add up significantly.
- NVIDIA RTX 4070 (12 GB)
- 200W TDP under load
- Apple M4 (16-32 GB unified)
- 15-30W total system power
Total Cost of Ownership
TieOverall costs can be similar. RTX 4070 needs a PC to install in, while Mac is an all-in-one solution.
- NVIDIA RTX 4070 (12 GB)
- GPU plus a separate PC
- Apple M4 (16-32 GB unified)
- Complete Mac system
Get told when a better model fits your RTX 4070
Get one email when a new open-weight model is a better fit for this machine.
For: RTX 4070
You'll also get the weekly ModelFit email. By signing up you agree to our Privacy Policy. Unsubscribe from either email anytime, in one click.
Frequently asked questions
Is RTX 4070 faster than M4 for AI?
Can RTX 4070 run 14B models?
Should I buy a Mac or build a PC for local AI?
Where to buy the RTX 4070
- Internal NVMe SSD · 2TBA Gen4 M.2 drive keeps your whole GGUF and quant collection on fast local storage, loading models straight off NVMe.Check price on Amazon
- USB4 NVMe Enclosure40Gbps external storage fast enough to run models from. Pair it with an M.2 drive for a portable model vault.Check price on Amazon
ModelFit may earn a commission on purchases through these links, at no extra cost to you.
Related comparisons
- GPU vs Apple Silicon: Which Architecture Is Better for Local AI?NVIDIA GPU (Dedicated VRAM) vs Apple Silicon (Unified Memory)
- RTX 5070 vs RTX 4080 for LLMs: New Architecture or More VRAM?NVIDIA RTX 5070 (12 GB) vs NVIDIA RTX 4080 (16 GB)
- RTX 5070 Ti vs RTX 5080 for LLMs: Same 16GB, Different ValueNVIDIA RTX 5070 Ti (16 GB) vs NVIDIA RTX 5080 (16 GB)