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Canonical Rankings

Best Macs for this model

Gemma 4 E2B ranked across the Mac lineup at the best practical quantization, using the best available runtime evidence. Model picker is focused on current-market choices.

29 ranked MacsUse the strongest current runtime evidence for each row.28 historical models hiddenStatic paths cover only canonical model pages; sort and quantization stay as query state.
RankMacScoreQuantTok/sRuntimeFitsHeadroomContextEvidencePriceWhy it ranks here
1MacBook Pro M5 Max 128GB 16-inch8218bit 158.0 tok/s Fastest evidence path: 8bit · 158.0 tok/s · MLX · EstimatedMLXFits122.5 GB131kEstimated$5,3998bit is the current best practical quantization. 158.0 tok/s is estimated from nearby benchmark coverage. 122.5 GB headroom remains at this quantization.
2Mac Studio M3 Ultra 256GB6978bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits250.5 GB131kEstimated$7,4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 250.5 GB headroom remains at this quantization.
3Mac Pro M2 Ultra 192GB6338bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits186.5 GB131kEstimated$6,9998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 186.5 GB headroom remains at this quantization.
4Mac Studio M4 Max 128GB5698bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits122.5 GB131kEstimated$4,4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 122.5 GB headroom remains at this quantization.
5MacBook Pro M4 Max 128GB 16-inch5698bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits122.5 GB131kEstimated$5,9998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 122.5 GB headroom remains at this quantization.
6Mac Studio M3 Ultra 96GB5378bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits90.5 GB131kEstimated$3,9998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 90.5 GB headroom remains at this quantization.
7Mac Studio M4 Max 64GB5058bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits58.5 GB131kEstimated$2,9998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 58.5 GB headroom remains at this quantization.
8MacBook Pro M4 Max 64GB 16-inch5058bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits58.5 GB131kEstimated$4,4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 58.5 GB headroom remains at this quantization.
9Mac Mini M4 Pro 48GB4898bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits42.5 GB131kEstimated$1,5998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 42.5 GB headroom remains at this quantization.
10MacBook Pro M4 Pro 48GB 14-inch4898bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits42.5 GB131kEstimated$2,4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 42.5 GB headroom remains at this quantization.
11Mac Studio M4 Max 48GB4898bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits42.5 GB131kEstimated$2,4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 42.5 GB headroom remains at this quantization.
12MacBook Pro M4 Pro 48GB 16-inch4898bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits42.5 GB131kEstimated$2,9998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 42.5 GB headroom remains at this quantization.
13MacBook Pro M4 Max 48GB 14-inch4898bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits42.5 GB131kEstimated$3,4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 42.5 GB headroom remains at this quantization.
14MacBook Pro M4 Max 48GB 16-inch4898bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits42.5 GB131kEstimated$3,9998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 42.5 GB headroom remains at this quantization.
15Mac Studio M4 Max 36GB4778bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits30.5 GB131kEstimated$1,9998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 30.5 GB headroom remains at this quantization.
16MacBook Pro M4 Max 36GB 14-inch4778bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits30.5 GB131kEstimated$2,9998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 30.5 GB headroom remains at this quantization.
17MacBook Pro M4 Max 36GB 16-inch4778bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits30.5 GB131kEstimated$3,4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 30.5 GB headroom remains at this quantization.
18Mac Mini M4 32GB4738bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits26.5 GB131kEstimated$7998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 26.5 GB headroom remains at this quantization.
19MacBook Air M4 32GB 13-inch4738bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits26.5 GB131kEstimated$1,4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 26.5 GB headroom remains at this quantization.
20MacBook Air M4 32GB 15-inch4738bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits26.5 GB131kEstimated$1,6998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 26.5 GB headroom remains at this quantization.
21Mac Mini M4 24GB4658bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits18.5 GB131kEstimated$5998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 18.5 GB headroom remains at this quantization.
22MacBook Air M4 24GB 13-inch4658bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits18.5 GB131kEstimated$1,2998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 18.5 GB headroom remains at this quantization.
23Mac Mini M4 Pro 24GB4658bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits18.5 GB131kEstimated$1,3998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 18.5 GB headroom remains at this quantization.
24MacBook Air M4 24GB 15-inch4658bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits18.5 GB131kEstimated$1,4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 18.5 GB headroom remains at this quantization.
25MacBook Pro M4 Pro 24GB 14-inch4658bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits18.5 GB131kEstimated$1,9998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 18.5 GB headroom remains at this quantization.
26MacBook Pro M4 Pro 24GB 16-inch4658bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits18.5 GB131kEstimated$2,4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 18.5 GB headroom remains at this quantization.
27Mac Mini M4 16GB4578bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits10.5 GB131kEstimated$4998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 10.5 GB headroom remains at this quantization.
28MacBook Air M4 16GB 13-inch4578bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits10.5 GB131kEstimated$1,0998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 10.5 GB headroom remains at this quantization.
29MacBook Air M4 16GB 15-inch4578bit 95.0 tok/s Fastest evidence path: 8bit · 95.0 tok/s · Ollama · EstimatedOllamaFits10.5 GB131kEstimated$1,2998bit is the current best practical quantization. 95.0 tok/s is estimated from nearby benchmark coverage. 10.5 GB headroom remains at this quantization.

Gemma 4 E2B — ranking first, raw rows below

Start with the ranked Mac table above. Use the rest of this page to inspect raw Apple Silicon coverage and model metadata.

Quantizations observed: Q4_K - Medium

4Benchmark rows
4Chip tiers covered
158.0Fastest avg tok/s (M5 Max (128 GB))
Minimum RAM observed

Fastest published result is 158.0 tok/s on M5 Max (128 GB) at Q4_K - Medium. Published runtimes include MLX, Ollama. Start with Rankings for the decision, then use the raw rows below to audit the evidence.

Based on 4 external benchmarks; no lab runs yet.

Published runtimes: MLX, Ollama.

5.1BTotal params
DenseActive params
131,072Context window
2026-04-02Release date

What this model is, and what Apple Silicon users are actually seeing

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.

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants.

Official source  ·  Raw model card

agentscodingreasoningvisual-understanding

Runtime support mentioned

llama.cppTransformers

Official specs

  • Architecture: Dense.
  • Total parameters: 2.3B effective (5.1B with embeddings).
  • Context: 128K tokens.
  • Sliding window: 512 tokens.
  • Modalities: Text, Image, Audio.

Official takeaways

  • Reasoning: All models in the family are designed as highly capable reasoners, with configurable thinking modes.
  • Extended Multimodalities: Processes Text, Image with variable aspect ratio and resolution support (all models), Video, and Audio (featured natively on the E2B and E4B models).
  • Diverse & Efficient Architectures: Offers Dense and Mixture-of-Experts (MoE) variants of different sizes for scalable deployment.
  • Increased Context Window: The small models feature a 128K context window, while the medium models support 256K.

Official model cards describe intent, capabilities, and supported stacks. They do not prove Apple Silicon speed by themselves.

Gemma 4 E2B: 6 Apple Silicon field reports; best reported generation ~88.7 tok/s; best reported prompt processing ~4999 tok/s; reported RAM use ~3.4-5GB; seen on MacBook Pro M5 PRO 64GB, M5 24GB, MacBook Air M5 32GB; via llama.cpp, oMLX.

4Benchmark rows
6Field reports
3Practitioner signals
Sparse BenchmarksEvidence status

What practitioners keep saying

  • The post reports a MacBook Air M5 32GB, 10 CPU/10 GPU setup using llama-bench with Q4_K_M quantization across 37 models.
  • In the reported top-speed table, Gemma 4 E2B reaches 653 tok/s prompt processing, 29.2 tok/s generation, and 3.4GB RAM use; this is useful directional evidence for base-M5 small-model recommendations but not enough for canonical benchmark promotion without raw JSON or first-party reproduction.
  • The oMLX context table reports gemma-4-E2B-it-4bit on an M5 10-core 24GB Mac at 1024 tokens context with 1136 tok/s prompt processing, 47.9 tok/s generation, and peak memory at 4.5GB.

Apple Silicon field sources

  • r/LocalLLaMA

    2026-04-06 · MacBook Air M5 32GB · llama.cpp

    mac-llm-bench reports Gemma 4 E2B as a fast Q4_K_M GGUF option on a MacBook Air M5 32GB, giving Silicon Score a llama.cpp counterpoint to the existing small-model runtime signal.

  • oMLX community benchmarks

    2026-04-03 · M5 24GB · oMLX

    Gemma 4 E2B has an oMLX 4-bit M5 24GB profile that keeps it relevant as a small, fast Apple Silicon frontier candidate rather than just an official model-card entry.

  • SharpAI HomeSec-Bench

    2026-03-26 · MacBook Pro M5 Pro 64GB · llama.cpp

    The HomeSec-Bench E2B row is very fast on M5 Pro 64GB, but its 47-test row should stay separate from the full 96-test comparisons.

Runtime mentions in the field

llama.cppoMLX

Hardware mentioned in reports

24GB32GB64GBMacMacBookMacBook Pro

What would improve confidence

  • Reproduce Field Performance Signal
  • Upgrade To First Party Measurement

Published chip coverage includes M5 Max (128 GB), M4 Pro (24 GB), M3 (16 GB), M1 (8 GB). Fastest published row is 158.0 tok/s on M5 Max (128 GB) at Q4_K - Medium.

Related Gemma 4 E2B models with published pages: Gemma 4 E4B · Gemma 4 26B-A4B · Gemma 4 31B

Raw benchmark rows for Gemma 4 E2B

Rows stay below the ranking because this page is answer-first. Use them to inspect exact chips, quantizations, runtimes, and sources.

ChipQuantRAM req.ContextAvg tok/sPrompt tok/sRuntimeSource
M5 Max (128 GB)Q4_K - Medium158.0 tok/sMLXref
M4 Pro (24 GB)Q4_K - Medium95.0 tok/sOllamaref
M3 (16 GB)Q4_K - Medium82.0 tok/sOllamaref
M1 (8 GB)Q4_K - Medium58.0 tok/sOllamaref

Ordered by fastest published tok/s on the chip family in each Mac. Click through for the full machine page.

benchmarks.json — full dataset  ·  models.json — model summaries  ·  benchmarks.csv — CSV export

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