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Qwen3.8-9B · Q2_K
Apple M5 Pro64GBvLLM v0.29L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3.8-9B (Q2_K) on Apple M5 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.
169.33 tok/s
Decode
Decode speed
690.81 tok/s
Prefill
Prefill speed
1.4 s
TTFT
Time to first token
12.5 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
5 days ago
Last verified
Performance
- vLLM · IQ3_S Decode 158.08 · Prefill 657.93 ·
- vLLM · Q2_K (current)Decode 169.33 · Prefill 690.81 ·
- Ollama · IQ3_S Decode 136.51 · Prefill 597.98 ·
- Ollama · Q3_K_S Decode 144.08 · Prefill 671.77 ·
Core figures
- Decode (avg)
- 169.33 tok/s
- Prefill (avg)
- 690.81 tok/s
- TTFT (avg)
- 1.4 s
- VRAM (avg)
- 12.5 GB
- MTP acceptance rate
- —
- TTFB
- 1.35 GB
- Power draw
- 132.7 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.8-9B
- Quantization
- Q2_K
- Framework
- vLLM
- Version
- v0.29
- Context length
- 8192 tokens
- Batch size
- 8
- GPU layers
- 999
- 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)
- 12.5 GB
- OS
- macOS 15.0
- Driver
- Apple M5 Pro
- CUDA
- N/A
- Power draw
- 132.7 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.29 · macOS 15.0 · CUDA N/A · 8192 ctx
169.33 tok/s
Decode
690.81 tok/s
Prefill
1.4 s
TTFT
12.5 GB
VRAM
—
MTP
132.7 W
Power draw
L2 batch seed 2026-10-13: vLLM on hw_id=27 running model_id=52 at Q2_K