M4 24GB vs NVIDIA RTX 4090 for local LLMs
8 reports on the M4 24GB and 54 on the NVIDIA RTX 4090
Which is faster for local LLMs?
On Qwen3.8 27B at 4-bit, the M4 24GB has 6.5 generation tokens/s (one run); prompt processing 60.8 tokens/s (one run); the NVIDIA RTX 4090 has 40.0 generation tokens/s (3 runs); prompt processing 1949.3 tokens/s (2 runs). Those are community reports whose engines and settings differ, so the gap is a rough sign, not a controlled measure of the two cards. Memory bandwidth, which caps how fast a card can write, is 8.4x higher on the NVIDIA RTX 4090 (120 GB/s on the M4 24GB, 1,008 on the NVIDIA RTX 4090).
- Memory
- 24GB unified
- Memory bandwidth
- 120 GB/s
- FP16 compute
- 4.3 TFLOPS
- Reports
- 8
- Memory
- 24GB
- Memory bandwidth
- 1,008 GB/s
- FP16 compute
- 330 TFLOPS
- Reports
- 54
Measured on both
Generation and prompt processing speeds from plain runs (one device, one request, no speculative decoding, the whole model in the device's memory) of the same model size at the same bit class. Each side shows the engines and reported context behind its median. Context can mean a configured window or prompt depth, so these are community comparisons with differing settings. How to read these
| Model | M4 24GB | NVIDIA RTX 4090 |
|---|---|---|
| Qwen3.8 27B4-bit | 6.5one runPP 60.8 (one run)llama.cppcontext not stated | 40.03 runsPP 1949.3 (2 runs)llama.cpp8K to 194K context |
Estimated by the calculator
The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape. Where a model was also measured above, the measurement wins.
| Model | M4 24GB | NVIDIA RTX 4090 |
|---|---|---|
| Qwen3.8 27B | 10.8 t/sQ2_K | 36.5 t/sQ4_K_M |
| Qwen3.8 125B · 6B active | doesn't fit at these settings | 19.6 t/sQ2_K, experts in RAM |
| Qwen3.6 35B · 3B active | 35.8 t/sQ2_K | 129.3 t/sQ4_K_S |
| DeepSeek V4 Flash 284B · 13B active | doesn't fit at these settings | doesn't fit at these settings |
| Qwen3.6 27B | 10.8 t/sQ2_K | 36.5 t/sQ4_K_M |
| Gemma 4 26B · 4B active | 24.1 t/sQ3_K_S | 82.3 t/sQ5_K_S |
| DeepSeek V4.1 Flash 552B · 16B active | doesn't fit at these settings | doesn't fit at these settings |
Change the context, RAM or model in the calculator: M4 24GB · NVIDIA RTX 4090
Every report on each card, with its source: M4 24GB · NVIDIA RTX 4090