Back to search results
Qwen3.5-9B · Q5_K_M
Apple M1 Maxllama.cpp v0.34L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3.5-9B (Q5_K_M) on Apple M1 Max with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
65.43 tok/s
Decode
Decode speed
334.37 tok/s
Prefill
Prefill speed
0.26 s
TTFT
Time to first token
19.68 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
2 days ago
Last verified
Performance
- llama.cpp · Q5_K_M (current)Decode 65.43 · Prefill 334.37 ·
- Strata · FP16 Decode 50.07 · Prefill 196.15 ·
- Strata · Q5_K_M Decode 86.88 · Prefill 306.63 ·
Core figures
- Decode (avg)
- 65.43 tok/s
- Prefill (avg)
- 334.37 tok/s
- TTFT (avg)
- 0.26 s
- VRAM (avg)
- 19.68 GB
- MTP acceptance rate
- —
- TTFB
- 0.52 GB
- Power draw
- 33.6 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.5-9B
- Quantization
- Q5_K_M
- Framework
- llama.cpp
- Version
- v0.34
- Context length
- 2048 tokens
- Batch size
- 512
- 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 M1 Max
- Measured VRAM (avg)
- 19.68 GB
- OS
- macOS 15.0
- Driver
- Apple M1 Max
- CUDA
- N/A
- Power draw
- 33.6 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.34 · macOS 15.0 · CUDA N/A · 2048 ctx
65.43 tok/s
Decode
334.37 tok/s
Prefill
0.26 s
TTFT
19.68 GB
VRAM
—
MTP
33.6 W
Power draw
L2 batch seed 2026-10-16: llama.cpp on hw_id=101 running model_id=49 at Q5_K_M