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Can the Apple M2 Pro (32GB) run Gemma 4 31B?

Apple M2 Pro (32GB) × Gemma 4 31B8K context
YesRuns fully on the GPU
Memory at Q4_K_M20.8 GB of 21.4 GB
Weights 19 GBKV cache 1.2 GBRuntime 0.6 GB
QuantQ4_K_MGood, most popular
Speed~6tokens per second
Max context23Ktokens that fit at Q4_K_M
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The Apple M2 Pro (32GB) can run Gemma 4 31B fully in unified memory at Q4_K_M (good, most popular), using about 20.8 GB of the 21.4 GB available, at roughly 6 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 4 31B:

ollama run gemma4:31b

Ollama's default download is Q4_K_M (about 20.8 GB here). That is also the best quant that fits.

New to this? Step-by-step setup for the Apple M2 Pro (32GB)

Run it in the cloud

No Apple M2 Pro (32GB)? Run Gemma 4 31B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 21.4 GB the Apple M2 Pro (32GB) can use. macOS lets the GPU use about 21.4 GB of the 32 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality64.4 GBToo big—
Q8_0Near-lossless35 GBToo big—
Q6_KExcellent27.4 GBToo big—
Q5_K_MVery good24 GBToo big—
Q4_K_MGood, most popular20.8 GBFits~6 tok/s
Q3_K_MNoticeably degraded17.1 GBFits~8 tok/s
Q2_KHeavily degraded13.5 GBFits~10 tok/s

Measured speed from real Apple M2 Pro (32GB) owners

Tokens per second that people measured on their own Apple M2 Pro (32GB), next to our estimate.

No one has measured Gemma 4 31B on the Apple M2 Pro (32GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M2 Pro (32GB)? Add your real speed

One command times Gemma 4 31B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- gemma4:31b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma4:31b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 4 31B comfortably

Models that run well on the Apple M2 Pro (32GB)

Frequently asked questions

Can Apple M2 Pro (32GB) run Gemma 4 31B?

Yes. The Apple M2 Pro (32GB) can run Gemma 4 31B fully in unified memory at Q4_K_M (good, most popular), using about 20.8 GB of the 21.4 GB available, at roughly 6 tokens/second.

How much VRAM does Gemma 4 31B need?

About 20.8 GB at Q4_K_M with 8,192 tokens of context, and about 64.4 GB at full FP16 precision.

How fast is Gemma 4 31B on the Apple M2 Pro (32GB)?

Roughly 6 tokens per second at Q4_K_M, estimated from the Apple M2 Pro (32GB)'s 200 GB/s memory bandwidth.