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

32,768 tokens

Memory Breakdown & Bandwidth Ceiling

Fits Comfortably
Model Weights: 67% KV: 28.9% Overhead: 4.1%
Total Required Memory
27.66 GB
Per-Device Allocation: 27.66 / 64 GB
Model Weights
18.52 GB
KV: 8.00 GB
Est. Single-Stream Decode
11.3 tok/s
Est. Batched Throughput: 11.3 tok/s
Max Context Before OOM
150,303
tokens

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%).

macOS Apple Silicon Unified Memory Override
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)

Fit status and estimated single-stream decode tok/s across FP16, Q8_0, and Q4_K_M on a single device
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