Fastest published Mac-family result
MacBook Pro M5 Max 128GB 16-inch maps to 42.0 tok/s from the strongest published chip-family row for Gemma 3 27B.
Gemma 3 27B ranked across the Mac lineup at the best practical quantization, using the best available runtime evidence. Historical baseline selected; model picker is focused on current-market choices.
Historical baseline selected: Gemma 3 27B. Default model choices remain current-market; other historical models stay hidden.
| Rank | Mac | Score | Quant | Tok/s | Runtime | Fits | Headroom | Context | Evidence | Price | Why it ranks here |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mac Studio M3 Ultra 256GB | 372 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 226.1 GB | 131k | Estimated | $7,499 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 226.1 GB headroom remains at this quantization. |
| 2 | Mac Pro M2 Ultra 192GB | 308 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 162.1 GB | 131k | Estimated | $6,999 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 162.1 GB headroom remains at this quantization. |
| 3 | MacBook Pro M5 Max 128GB 16-inch | 244 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · llama.cpp · Estimated | llama.cpp | Fits | 98.1 GB | 131k | Estimated | $5,399 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 98.1 GB headroom remains at this quantization. |
| 4 | Mac Studio M4 Max 48GB | 224 | 8bit | 35.0 tok/s Fastest evidence path: 8bit · 35.0 tok/s · MLX · Estimated | MLX | Fits | 18.1 GB | 31k | Estimated | $2,499 | 8bit is the current best practical quantization. 35.0 tok/s is estimated from nearby benchmark coverage. 18.1 GB headroom remains at this quantization. |
| 5 | MacBook Pro M4 Max 48GB 14-inch | 224 | 8bit | 35.0 tok/s Fastest evidence path: 8bit · 35.0 tok/s · MLX · Estimated | MLX | Fits | 18.1 GB | 31k | Estimated | $3,499 | 8bit is the current best practical quantization. 35.0 tok/s is estimated from nearby benchmark coverage. 18.1 GB headroom remains at this quantization. |
| 6 | MacBook Pro M4 Max 48GB 16-inch | 224 | 8bit | 35.0 tok/s Fastest evidence path: 8bit · 35.0 tok/s · MLX · Estimated | MLX | Fits | 18.1 GB | 31k | Estimated | $3,999 | 8bit is the current best practical quantization. 35.0 tok/s is estimated from nearby benchmark coverage. 18.1 GB headroom remains at this quantization. |
| 7 | Mac Studio M4 Max 128GB | 222 | 8bit | 14.5 tok/s Fastest evidence path: 8bit · 14.5 tok/s · LM Studio · Estimated | LM Studio | Fits | 98.1 GB | 131k | Estimated | $4,499 | 8bit is the current best practical quantization. 14.5 tok/s is estimated from nearby benchmark coverage. 98.1 GB headroom remains at this quantization. |
| 8 | MacBook Pro M4 Max 128GB 16-inch | 222 | 8bit | 14.5 tok/s Fastest evidence path: 8bit · 14.5 tok/s · LM Studio · Estimated | LM Studio | Fits | 98.1 GB | 131k | Estimated | $5,999 | 8bit is the current best practical quantization. 14.5 tok/s is estimated from nearby benchmark coverage. 98.1 GB headroom remains at this quantization. |
| 9 | Mac Studio M3 Ultra 96GB | 212 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 66.1 GB | 118k | Estimated | $3,999 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 66.1 GB headroom remains at this quantization. |
| 10 | Mac Studio M4 Max 64GB | 180 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 34.1 GB | 60k | Estimated | $2,999 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 34.1 GB headroom remains at this quantization. |
| 11 | MacBook Pro M4 Max 64GB 16-inch | 180 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 34.1 GB | 60k | Estimated | $4,499 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 34.1 GB headroom remains at this quantization. |
| 12 | Mac Mini M4 Pro 48GB | 164 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 18.1 GB | 31k | Estimated | $1,599 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 18.1 GB headroom remains at this quantization. |
| 13 | MacBook Pro M4 Pro 48GB 14-inch | 164 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 18.1 GB | 31k | Estimated | $2,499 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 18.1 GB headroom remains at this quantization. |
| 14 | MacBook Pro M4 Pro 48GB 16-inch | 164 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 18.1 GB | 31k | Estimated | $2,999 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 18.1 GB headroom remains at this quantization. |
| 15 | Mac Mini M4 24GB | 158 | 5bit | 25.0 tok/s Fastest evidence path: 5bit · 25.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 3.7 GB | 8k | Estimated | $599 | 5bit is the current best practical quantization. 25.0 tok/s is estimated from nearby benchmark coverage. 3.7 GB headroom remains at this quantization. |
| 16 | MacBook Air M4 24GB 13-inch | 158 | 5bit | 25.0 tok/s Fastest evidence path: 5bit · 25.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 3.7 GB | 8k | Estimated | $1,299 | 5bit is the current best practical quantization. 25.0 tok/s is estimated from nearby benchmark coverage. 3.7 GB headroom remains at this quantization. |
| 17 | Mac Mini M4 Pro 24GB | 158 | 5bit | 25.0 tok/s Fastest evidence path: 5bit · 25.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 3.7 GB | 8k | Estimated | $1,399 | 5bit is the current best practical quantization. 25.0 tok/s is estimated from nearby benchmark coverage. 3.7 GB headroom remains at this quantization. |
| 18 | MacBook Air M4 24GB 15-inch | 158 | 5bit | 25.0 tok/s Fastest evidence path: 5bit · 25.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 3.7 GB | 8k | Estimated | $1,499 | 5bit is the current best practical quantization. 25.0 tok/s is estimated from nearby benchmark coverage. 3.7 GB headroom remains at this quantization. |
| 19 | MacBook Pro M4 Pro 24GB 14-inch | 158 | 5bit | 25.0 tok/s Fastest evidence path: 5bit · 25.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 3.7 GB | 8k | Estimated | $1,999 | 5bit is the current best practical quantization. 25.0 tok/s is estimated from nearby benchmark coverage. 3.7 GB headroom remains at this quantization. |
| 20 | MacBook Pro M4 Pro 24GB 16-inch | 158 | 5bit | 25.0 tok/s Fastest evidence path: 5bit · 25.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 3.7 GB | 8k | Estimated | $2,499 | 5bit is the current best practical quantization. 25.0 tok/s is estimated from nearby benchmark coverage. 3.7 GB headroom remains at this quantization. |
| 21 | Mac Studio M4 Max 36GB | 152 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 6.1 GB | 10k | Estimated | $1,999 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 6.1 GB headroom remains at this quantization. |
| 22 | MacBook Pro M4 Max 36GB 14-inch | 152 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 6.1 GB | 10k | Estimated | $2,999 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 6.1 GB headroom remains at this quantization. |
| 23 | MacBook Pro M4 Max 36GB 16-inch | 152 | 8bit | 20.0 tok/s Fastest evidence path: 8bit · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 6.1 GB | 10k | Estimated | $3,499 | 8bit is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 6.1 GB headroom remains at this quantization. |
| 24 | Mac Mini M4 16GB | 107 | mlx-dynamic-2.7bpw | 20.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 3.0 GB | 9k | Estimated | $499 | mlx-dynamic-2.7bpw is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 3.0 GB headroom remains at this quantization. |
| 25 | MacBook Air M4 16GB 13-inch | 107 | mlx-dynamic-2.7bpw | 20.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 3.0 GB | 9k | Estimated | $1,099 | mlx-dynamic-2.7bpw is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 3.0 GB headroom remains at this quantization. |
| 26 | MacBook Air M4 16GB 15-inch | 107 | mlx-dynamic-2.7bpw | 20.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 20.0 tok/s · LM Studio · Estimated | LM Studio | Fits | 3.0 GB | 9k | Estimated | $1,299 | mlx-dynamic-2.7bpw is the current best practical quantization. 20.0 tok/s is estimated from nearby benchmark coverage. 3.0 GB headroom remains at this quantization. |
| 27 | Mac Mini M4 32GB | 90 | Q6_K | 5.7 tok/s Fastest evidence path: Q6_K · 5.7 tok/s · llama.cpp · Estimated | llama.cpp | Fits | 6.7 GB | 12k | Estimated | $799 | Q6_K is the current best practical quantization. 5.7 tok/s is estimated from nearby benchmark coverage. 6.7 GB headroom remains at this quantization. |
| 28 | MacBook Air M4 32GB 13-inch | 90 | Q6_K | 5.7 tok/s Fastest evidence path: Q6_K · 5.7 tok/s · llama.cpp · Estimated | llama.cpp | Fits | 6.7 GB | 12k | Estimated | $1,499 | Q6_K is the current best practical quantization. 5.7 tok/s is estimated from nearby benchmark coverage. 6.7 GB headroom remains at this quantization. |
| 29 | MacBook Air M4 32GB 15-inch | 90 | Q6_K | 5.7 tok/s Fastest evidence path: Q6_K · 5.7 tok/s · llama.cpp · Estimated | llama.cpp | Fits | 6.7 GB | 12k | Estimated | $1,699 | Q6_K is the current best practical quantization. 5.7 tok/s is estimated from nearby benchmark coverage. 6.7 GB headroom remains at this quantization. |
Start with the ranked Mac table above, then audit tokens per second, RAM fit, quantization, runtimes, and source links before trusting the model on your Mac.
Quantizations observed: Q4_K - Medium, Q6_K, Q8_0, bf16, Q4_0
Quick take
Fastest published result is 42.0 tok/s on M5 Max (64 GB) at Q4_K - Medium. Smallest published fit is 52.6 GB on M3 Ultra (512 GB). Longest published context on this page is 131k. Published runtimes include llama.cpp, LM Studio, MLX, Ollama. Start with Rankings for the decision, then use the raw rows below to audit the evidence.
Based on 9 external benchmarks; no lab runs yet.
Published runtimes: llama.cpp, LM Studio, MLX, Ollama.
Best Mac shortlist
These are ranked by the fastest published Gemma 3 27B result available for each Mac's chip family. Use them as the search answer, then open the machine page before buying.
MacBook Pro M5 Max 128GB 16-inch maps to 42.0 tok/s from the strongest published chip-family row for Gemma 3 27B.
MacBook Pro M4 Max 36GB 14-inch maps to 35.0 tok/s from the strongest published chip-family row for Gemma 3 27B.
MacBook Pro M4 Max 48GB 14-inch maps to 35.0 tok/s from the strongest published chip-family row for Gemma 3 27B.
Model search answers
Gemma 3 27B currently has a fastest published Mac result of 42.0 tok/s on M5 Max (64 GB) at Q4_K - Medium. Check the raw rows on this page before comparing that number to a different runtime, quantization, or context length.
MacBook Pro M5 Max 128GB 16-inch is the fastest published Mac-family answer for Gemma 3 27B on this page right now, at 42.0 tok/s from its chip family. Treat that as a published benchmark starting point, not a universal buying recommendation.
Gemma 3 27B has a smallest published fit of 52.6 GB on M3 Ultra (512 GB). More memory may still be required for longer context, different quantization, or parallel workloads.
Catalog record
This is a reference-only model record. It remains useful for historical benchmarks, migration checks, and audit context, but it is excluded from current frontier packs.
Official model cards tell you what the model is for and which software stacks it targets. Field reality below shows how much Apple Silicon evidence we have so far.
Official brief
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.
Runtime support mentioned
Official specs
Official takeaways
Official model cards describe intent, capabilities, and supported stacks. They do not prove Apple Silicon speed by themselves.
Field reality on Apple Silicon
Gemma 3 27B: 1 Apple Silicon field report; best reported generation ~20 tok/s; best reported prompt processing ~391 tok/s; seen on MacBook Pro M5 MAX 128GB; via llama.cpp.
What practitioners keep saying
Apple Silicon field sources
A March 21, 2026 M5 Max 128GB benchmark puts Gemma 3 27B into clearly interactive Apple Silicon territory with standardized llama.cpp measurements instead of vague fit claims.
waybarrios/vllm-mlx repository
Gemma 3 27B has real Apple Silicon runtime support, but context behavior and memory tuning materially affect how usable it feels.
Runtime mentions in the field
Hardware mentioned in reports
What would improve confidence
Current published coverage
Published chip coverage includes M5 Max (64 GB), M4 Max (48 GB), M3 Max (96 GB), M4 Pro (24 GB), M5 Max (128 GB) plus 3 more chip tiers. Fastest published row is 42.0 tok/s on M5 Max (64 GB) at Q4_K - Medium. Lowest published RAM requirement is 52.6 GB on M3 Ultra (512 GB). Catalog context window is 131k.
Related Gemma 3 models with published pages: Gemma 3 4B · Gemma 3 12B
Rows stay below the ranking because this page is answer-first. Use them to inspect exact chips, quantizations, runtimes, and sources.
| Chip | Quant | Avg tok/s | Runtime | Source |
|---|---|---|---|---|
| M5 Max (64 GB) | Q4_K - Medium | 42.0 tok/s | Ollama | ref |
| M4 Max (48 GB) | Q4_K - Medium | 35.0 tok/s | MLX | ref |
| M3 Max (96 GB) | Q4_K - Medium | 28.0 tok/s | MLX | ref |
| M4 Pro (24 GB) | Q4_K - Medium | 25.0 tok/s | LM Studio | ref |
| M5 Max (128 GB) | Q6_K | 20.0 tok/s | llama.cpp | ref |
| M4 Max (128 GB) | Q8_0 | 14.5 tok/s | LM Studio | ref |
| M4 Max (128 GB) | Q8_0 | 13.0 tok/s | LM Studio | ref |
| M3 Ultra (512 GB) | bf16 | 11.2 tok/s | LM Studio | ref |
| M4 (32 GB) | Q4_0 | 5.7 tok/s | llama.cpp | ref |
Chips with published results for Gemma 3 27B
Data
benchmarks.json — full dataset · models.json — model summaries · benchmarks.csv — CSV export