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Qwen3-8B · Q6_K
Apple M5 Max128GBllama.cpp v0.39L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3-8B (Q6_K) on Apple M5 Max with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
137.3 tok/s
Decode
Decode speed
696.86 tok/s
Prefill
Prefill speed
1.22 s
TTFT
Time to first token
18.9 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 · IQ3_XS Decode 233.71 · Prefill 783.62 ·
- Ollama · IQ3_XS Decode 212.17 · Prefill 767.04 ·
- Ollama · Q4_K_S Decode 185.61 · Prefill 631.22 ·
- llama.cpp · Q6_K (current)Decode 137.3 · Prefill 696.86 ·
- Strata · Q4_K_M Decode 252.52 · Prefill 1255.16 ·
Core figures
- Decode (avg)
- 137.3 tok/s
- Prefill (avg)
- 696.86 tok/s
- TTFT (avg)
- 1.22 s
- VRAM (avg)
- 18.9 GB
- MTP acceptance rate
- —
- TTFB
- 1.1 GB
- Power draw
- 118.6 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3-8B
- Quantization
- Q6_K
- Framework
- llama.cpp
- Version
- v0.39
- Context length
- 4096 tokens
- Batch size
- 256
- GPU layers
- 20
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M5 Max
- Nominal VRAM
- 128 GB
- Measured VRAM (avg)
- 18.9 GB
- OS
- macOS 15.0
- Driver
- Apple M5 Max
- CUDA
- N/A
- Power draw
- 118.6 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.39 · macOS 15.0 · CUDA N/A · 4096 ctx
137.3 tok/s
Decode
696.86 tok/s
Prefill
1.22 s
TTFT
18.9 GB
VRAM
—
MTP
118.6 W
Power draw
L2 batch seed 2026-10-13: llama.cpp on hw_id=28 running model_id=53 at Q6_K