What can MacBook Pro 16" M4 Max run for vision?
Build: MacBook Pro M4 Max 64GB
Runs comfortably25 models
Ranked by fit for vision use case + predicted speed. Click a row for VRAM breakdown.
Quant: Q8_0Context: 8,192VRAM: 7.1 GBHeadroom: 48.9 GBollama run gemma4:e4b123tok/sEstimated
ollama run gemma4:e4bQuant: Q8_0Context: 8,192VRAM: 7.1 GBHeadroom: 48.9 GBollama run gemma3:4b123tok/sEstimated
ollama run gemma3:4bQuant: Q8_0Context: 8,192VRAM: 3.8 GBHeadroom: 52.2 GBollama run gemma4:e2b246tok/sEstimated
ollama run gemma4:e2bQuant: Q4_K_MContext: 8,192VRAM: 5.2 GBHeadroom: 50.8 GB206tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 8.6 GBHeadroom: 47.4 GB124tok/sEstimated
Quant: Q4_K_MContext: 2,048VRAM: 2.0 GBHeadroom: 54.0 GB455tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 8.8 GBHeadroom: 47.2 GB124tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 8.7 GBHeadroom: 47.3 GB124tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 8.7 GBHeadroom: 47.3 GB124tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 4.1 GBHeadroom: 51.9 GB288tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 9.8 GBHeadroom: 46.2 GB108tok/sEstimated
Quant: Q4_K_MContext: 4,096VRAM: 8.0 GBHeadroom: 48.0 GB108tok/sEstimated
Runs with tradeoffs2 models
Tight VRAM, partial CPU offload, or context-limited.
Quant: Q4_K_MContext: 2,048VRAM: 52.6 GBHeadroom: 3.4 GB- • Tight VRAM fit — only 3.4 GB headroom left for context growth
12tok/sEstimated
- • Tight VRAM fit — only 3.4 GB headroom left for context growth
Quant: AWQ-INT4Context: 2,048VRAM: 53.6 GBHeadroom: 2.4 GB- • Tight VRAM fit — only 2.4 GB headroom left for context growth
7tok/sEstimated
- • Tight VRAM fit — only 2.4 GB headroom left for context growth
What if you upgraded?
Hypothetical scenarios. We re-ran the compatibility engine for each.
Move up an Apple memory tier
Varies by configuration. Check Apple's current pricing
On Apple Silicon, more unified memory is the only path forward — VRAM and system RAM are the same pool.
Won't runtop 5 popular models
Need more memory than you have. Shown for orientation.
Needs ~1024 GB unified memory minimum at smallest quant; you have 56 GB available after OS overhead.
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Needs ~1024 GB unified memory minimum at smallest quant; you have 56 GB available after OS overhead.
Needs ~160 GB unified memory minimum at smallest quant; you have 56 GB available after OS overhead.
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Needs ~160 GB unified memory minimum at smallest quant; you have 56 GB available after OS overhead.
Needs ~420 GB unified memory minimum at smallest quant; you have 56 GB available after OS overhead.
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Needs ~420 GB unified memory minimum at smallest quant; you have 56 GB available after OS overhead.
Needs ~80 GB unified memory minimum at smallest quant; you have 56 GB available after OS overhead.
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Needs ~80 GB unified memory minimum at smallest quant; you have 56 GB available after OS overhead.
Needs ~192 GB unified memory minimum at smallest quant; you have 56 GB available after OS overhead.
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Needs ~192 GB unified memory minimum at smallest quant; you have 56 GB available after OS overhead.
Not enough VRAM for these models? Rent a GPU by the hour
The models above need more memory than 64 GB unified memory. You can rent a GPU with enough VRAM by the hour to run one of them, or to test it before you buy hardware. For daily use, owning a card usually costs less over time.
RunPod
billed per GPU-hourHourly GPU pods, in community-cloud and secure-cloud tiers.
The two tiers run on different hosts and terms. Check which tier a pod is on before a long job.
Rent on RunPodVast.ai
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Host quality varies. Filter for verified hosts and check the host's reliability before a long run.
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How to read these numbers
Want a specific benchmark we don't have? Email Contact support and we'll prioritize it.