M4 24GB vs NVIDIA RTX 5090 Laptop 24GB for local LLMs
8 reports on the M4 24GB and 6 on the NVIDIA RTX 5090 Laptop 24GB
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 5090 Laptop 24GB has 33.5 generation 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 7.5x higher on the NVIDIA RTX 5090 Laptop 24GB (120 GB/s on the M4 24GB, 896 on the NVIDIA RTX 5090 Laptop 24GB).
- Memory
- 24GB unified
- Memory bandwidth
- 120 GB/s
- FP16 compute
- 4.3 TFLOPS
- Reports
- 8
- Memory
- 24GB
- Memory bandwidth
- 896 GB/s
- FP16 compute
- 200 TFLOPS
- Reports
- 6
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 5090 Laptop 24GB |
|---|---|---|
| Qwen3.8 27B4-bit | 6.5one runPP 60.8 (one run)llama.cppcontext not stated | 33.52 runsllama.cpp, 1 not stated64K to 100K 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 5090 Laptop 24GB |
|---|---|---|
| Qwen3.8 27B | 10.8 t/sQ2_K | 32.4 t/sQ4_K_M |
| Qwen3.8 125B · 6B active | doesn't fit at these settings | 19.4 t/sQ2_K, experts in RAM |
| Qwen3.6 35B · 3B active | 35.8 t/sQ2_K | 115.0 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 | 32.4 t/sQ4_K_M |
| Gemma 4 26B · 4B active | 24.1 t/sQ3_K_S | 73.2 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 5090 Laptop 24GB
Every report on each card, with its source: M4 24GB · NVIDIA RTX 5090 Laptop 24GB