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Qwen3-4B · Q3_K_M
Apple M5 Pro64GBllama.cpp v0.33L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3-4B (Q3_K_M) on Apple M5 Pro with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
187.03 tok/s
Decode
Decode speed
648.58 tok/s
Prefill
Prefill speed
2.13 s
TTFT
Time to first token
7.81 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
5 days ago
Last verified
Performance
- llama.cpp · Q3_K_L Decode 189.13 · Prefill 672.33 ·
- llama.cpp · Q3_K_M (current)Decode 187.03 · Prefill 648.58 ·
Core figures
- Decode (avg)
- 187.03 tok/s
- Prefill (avg)
- 648.58 tok/s
- TTFT (avg)
- 2.13 s
- VRAM (avg)
- 7.81 GB
- MTP acceptance rate
- —
- TTFB
- 1.5 GB
- Power draw
- 84.4 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3-4B
- Quantization
- Q3_K_M
- Framework
- llama.cpp
- Version
- v0.33
- Context length
- 4096 tokens
- Batch size
- 512
- GPU layers
- 99
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M5 Pro
- Nominal VRAM
- 64 GB
- Measured VRAM (avg)
- 7.81 GB
- OS
- macOS 15.0
- Driver
- Apple M5 Pro
- CUDA
- N/A
- Power draw
- 84.4 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.33 · macOS 15.0 · CUDA N/A · 4096 ctx
187.03 tok/s
Decode
648.58 tok/s
Prefill
2.13 s
TTFT
7.81 GB
VRAM
—
MTP
84.4 W
Power draw
L2 batch seed 2026-10-13: llama.cpp on hw_id=27 running model_id=54 at Q3_K_M