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Can the Apple M4 Pro (24GB) run Gemma 2 9B?

Apple M4 Pro (24GB) × Gemma 2 9B8K context
YesRuns fully on the GPU
Memory at Q8_012.5 GB of 16.1 GB
Weights 9.8 GBKV cache 2.1 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~17tokens per second
Max context8Kthe model's full window
  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 M4 Pro (24GB) can run Gemma 2 9B fully in unified memory at Q8_0 (near-lossless), using about 12.5 GB of the 16.1 GB available, at roughly 17 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Gemma 2 9B:

ollama run gemma2:9b

Ollama's default download is Q4_K_M (about 8.3 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the Apple M4 Pro (24GB)

Run it in the cloud

No Apple M4 Pro (24GB)? Run Gemma 2 9B 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 16.1 GB the Apple M4 Pro (24GB) can use. macOS lets the GPU use about 16.1 GB of the 24 GB unified memory by default.

QuantQualityMemoryFits?Speed
FP16Full quality21.2 GBToo big—
Q8_0Near-lossless12.5 GBFits~17 tok/s
Q6_KExcellent10.3 GBFits~22 tok/s
Q5_K_MVery good9.3 GBFits~25 tok/s
Q4_K_MGood, most popular8.3 GBFits~29 tok/s
Q3_K_MNoticeably degraded7.2 GBFits~36 tok/s
Q2_KHeavily degraded6.2 GBFits~47 tok/s

Measured speed from real Apple M4 Pro (24GB) owners

Tokens per second that people measured on their own Apple M4 Pro (24GB), next to our estimate.

No one has measured Gemma 2 9B on the Apple M4 Pro (24GB) yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an Apple M4 Pro (24GB)? Add your real speed

One command times Gemma 2 9B 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 -- gemma2:9b

Windows (PowerShell)

$env:GPUFIT_MODEL="gemma2:9b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Gemma 2 9B comfortably

Models that run well on the Apple M4 Pro (24GB)

Frequently asked questions

Can Apple M4 Pro (24GB) run Gemma 2 9B?

Yes. The Apple M4 Pro (24GB) can run Gemma 2 9B fully in unified memory at Q8_0 (near-lossless), using about 12.5 GB of the 16.1 GB available, at roughly 17 tokens/second.

How much VRAM does Gemma 2 9B need?

About 8.3 GB at Q4_K_M with 8,192 tokens of context, and about 21.2 GB at full FP16 precision.

How fast is Gemma 2 9B on the Apple M4 Pro (24GB)?

Roughly 17 tokens per second at Q8_0, estimated from the Apple M4 Pro (24GB)'s 273 GB/s memory bandwidth.