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Qwen2.5-Omni-3B · Q3_K_L
Apple M2 ProOllama v0.39L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen2.5-Omni-3B (Q3_K_L) on Apple M2 Pro with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
100.83 tok/s
Decode
Decode speed
364.74 tok/s
Prefill
Prefill speed
1.09 s
TTFT
Time to first token
6.64 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
2 days ago
Last verified
Performance
- vLLM · IQ1_S Decode 161.76 · Prefill 837.8 ·
- Ollama · IQ2_XS Decode 130.3 · Prefill 686.33 ·
- Ollama · Q3_K_L (current)Decode 100.83 · Prefill 364.74 ·
Core figures
- Decode (avg)
- 100.83 tok/s
- Prefill (avg)
- 364.74 tok/s
- TTFT (avg)
- 1.09 s
- VRAM (avg)
- 6.64 GB
- MTP acceptance rate
- —
- TTFB
- 0.81 GB
- Power draw
- 74.3 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen2.5-Omni-3B
- Quantization
- Q3_K_L
- Framework
- Ollama
- Version
- v0.39
- Context length
- 16384 tokens
- Batch size
- 256
- GPU layers
- 33
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M2 Pro
- Measured VRAM (avg)
- 6.64 GB
- OS
- macOS 15.0
- Driver
- Apple M2 Pro
- CUDA
- N/A
- Power draw
- 74.3 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.39 · macOS 15.0 · CUDA N/A · 16384 ctx
100.83 tok/s
Decode
364.74 tok/s
Prefill
1.09 s
TTFT
6.64 GB
VRAM
—
MTP
74.3 W
Power draw
L2 batch seed 2026-10-16: Ollama on hw_id=102 running model_id=60 at Q3_K_L