Apple Silicon M-Series Max (64 GB Unified Memory) — Runnable LLMs, Max Context & tok/s Benchmarks
Apple Silicon M-Series Max (64 GB Unified Memory) provides 64 GB of memory (48.0 GB default usable ceiling) backed by 546 GB/s of external bandwidth and 32.8 TFLOPS FP16 compute (~$0.22/hr typical cloud rate, 95W TDP).
- Physical Memory
- 64 GB
- Default / Tuned Usable
- 48.0 / 56.3 GB
- Memory Bandwidth
- 546 GB/s
- FP16 Compute
- 32.8 TFLOPS
- Typical Cloud $/hr / CapEx
- $0.22/hr · $3,499
- TDP / Native FP8
- 95W · FP16/INT4
Interactive Workload Simulator on Apple M-Max 64GB
3. Apple Silicon Unified Memory & Decode Bandwidth Upper Bound
macOS caps GPU wired memory around 48.0 GB (75%) by default; raising iogpu.wired_limit_mb unlocks up to 56.3 GB (88%).
sudo sysctl iogpu.wired_limit_mb=57672
On macOS Apple Silicon systems, default GPU wired allocation stops near 75% of physical unified RAM unless overridden with sysctl iogpu.wired_limit_mb (modeled up to an 88% safe ceiling that preserves OS stability). Autoregressive decode speed is bounded by effective external memory bandwidth divided by active parameter bytes plus active KV cache bytes read per step, verified every 12 hours by the VRAMLab automated architecture verification pipeline.
Open-Weight LLM Compatibility Matrix on 1× Apple M-Max 64GB (32K Context)
| Model & Family | FP16 | Q8_0 | Q4_K_M | Best Comfortable Quant | Max Context (Q4_K_M) | Decode Speed (Q4_K_M) |
|---|---|---|---|---|---|---|
|
DeepSeek-R1 (671B MoE)
671B · MLA
|
Out of Memory (OOM) | Out of Memory (OOM) | Out of Memory (OOM) | — | — | — |
|
DeepSeek-V3-0324 (671B MoE)
671B · MLA
|
Out of Memory (OOM) | Out of Memory (OOM) | Out of Memory (OOM) | — | — | — |
|
DeepSeek-R1-Distill-Llama-70B
70.6B · GQA
|
Out of Memory (OOM) | Out of Memory (OOM) | Requires sysctl wired_limit | Q5_K_M | 48,209 tokens | 6.0 tok/s |
|
DeepSeek-R1-Distill-Qwen-32B
32.8B · GQA
|
Out of Memory (OOM) | Fits Comfortably | Fits Comfortably | Q8_0 | 150,303 tokens | 11.3 tok/s |
|
Qwen3-235B-A22B (MoE)
235B · GQA
|
Out of Memory (OOM) | Out of Memory (OOM) | Out of Memory (OOM) | — | — | — |
|
Qwen3-30B-A3B (MoE)
30.5B · GQA
|
Out of Memory (OOM) | Fits Comfortably | Fits Comfortably | Q8_0 | 415,417 tokens | 61.6 tok/s |
|
Qwen3-32B
32.8B · GQA
|
Out of Memory (OOM) | Fits Comfortably | Fits Comfortably | Q8_0 | 150,303 tokens | 11.3 tok/s |
|
Qwen3-14B
14.8B · GQA
|
Fits Comfortably | Fits Comfortably | Fits Comfortably | FP16 / BF16 | 309,087 tokens | 22.4 tok/s |
|
Qwen3-8B
8.2B · GQA
|
Fits Comfortably | Fits Comfortably | Fits Comfortably | FP16 / BF16 | 371,379 tokens | 32.8 tok/s |
|
QwQ-32B (Reasoning)
32.8B · GQA
|
Out of Memory (OOM) | Fits Comfortably | Fits Comfortably | Q8_0 | 150,303 tokens | 11.3 tok/s |
|
Qwen2.5-Coder-32B-Instruct
32.8B · GQA
|
Out of Memory (OOM) | Fits Comfortably | Fits Comfortably | Q8_0 | 150,303 tokens | 11.3 tok/s |
|
Qwen2.5-72B-Instruct
72.7B · GQA
|
Out of Memory (OOM) | Out of Memory (OOM) | Requires sysctl wired_limit | Q5_K_M | 44,207 tokens | 5.9 tok/s |
|
Llama 4 Maverick (400B / 17B-128E MoE)
402B · GQA
|
Out of Memory (OOM) | Out of Memory (OOM) | Out of Memory (OOM) | — | — | — |
|
Llama 4 Scout (109B / 17B-16E MoE)
109B · HYBRID_SWA
|
Out of Memory (OOM) | Out of Memory (OOM) | Out of Memory (OOM) | — | — | — |
|
Llama 3.3 70B Instruct
70.6B · GQA
|
Out of Memory (OOM) | Out of Memory (OOM) | Requires sysctl wired_limit | Q5_K_M | 48,209 tokens | 6.0 tok/s |
|
Llama 3.1 405B Instruct
405B · GQA
|
Out of Memory (OOM) | Out of Memory (OOM) | Out of Memory (OOM) | — | — | — |
|
Llama 3.1 8B Instruct
8.03B · GQA
|
Fits Comfortably | Fits Comfortably | Fits Comfortably | FP16 / BF16 | 418,612 tokens | 35.1 tok/s |
|
Gemma 3 27B IT (Multimodal)
27.4B · HYBRID_SWA
|
Requires sysctl wired_limit | Fits Comfortably | Fits Comfortably | FP16 / BF16 | 84,214 tokens | 16.3 tok/s |
|
Gemma 3 12B IT (Multimodal)
12.2B · HYBRID_SWA
|
Fits Comfortably | Fits Comfortably | Fits Comfortably | FP16 / BF16 | 132,915 tokens | 32.5 tok/s |
|
Mistral Small 3.1 (24B)
24B · GQA
|
Requires sysctl wired_limit | Fits Comfortably | Fits Comfortably | FP16 / BF16 | 274,023 tokens | 16.1 tok/s |
|
Mistral Large 2411 (123B)
123B · GQA
|
Out of Memory (OOM) | Out of Memory (OOM) | Out of Memory (OOM) | — | — | — |
|
Codestral 22B
22.2B · GQA
|
Requires sysctl wired_limit | Fits Comfortably | Fits Comfortably | Q8_0 | 200,631 tokens | 15.3 tok/s |
|
Devstral Small (24B SWE Agent)
23.6B · GQA
|
Requires sysctl wired_limit | Fits Comfortably | Fits Comfortably | Q8_0 | 275,548 tokens | 16.3 tok/s |
|
GLM-4-32B-0414
32B · GQA
|
Out of Memory (OOM) | Fits Comfortably | Fits Comfortably | Q8_0 | 638,777 tokens | 15.0 tok/s |
|
GLM-4-9B-0414
9.4B · GQA
|
Fits Comfortably | Fits Comfortably | Fits Comfortably | FP16 / BF16 | 1,048,576 tokens | 45.7 tok/s |
|
Microsoft Phi-4 (14B)
14.7B · GQA
|
Fits Comfortably | Fits Comfortably | Fits Comfortably | FP16 / BF16 | 247,574 tokens | 20.6 tok/s |
|
Microsoft Phi-4-mini-instruct (3.8B)
3.84B · GQA
|
Fits Comfortably | Fits Comfortably | Fits Comfortably | FP16 / BF16 | 438,573 tokens | 48.5 tok/s |
|
Cohere Command A (111B)
111B · HYBRID_SWA
|
Out of Memory (OOM) | Out of Memory (OOM) | Out of Memory (OOM) | — | — | — |
Compare Other GPU & Apple Silicon Capacity Tiers
RTX 3090 24GB
24 GB · 936 GB/s
RTX 4090 24GB
24 GB · 1,008 GB/s
RTX 5090 32GB
32 GB · 1,792 GB/s
Mac Studio 128GB
128 GB · 546 GB/s
Mac Studio 192GB
192 GB · 800 GB/s
NVIDIA A100 80GB
80 GB · 2,039 GB/s
NVIDIA H100 80GB
80 GB · 3,350 GB/s