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Qwen3-8B · IQ3_XS
Apple M5 Ultra512GBOllama v0.46L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3-8B (IQ3_XS) on Apple M5 Ultra with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
108 tok/s
Decode
Decode speed
446.71 tok/s
Prefill
Prefill speed
1.63 s
TTFT
Time to first token
12.52 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
16 days ago
Last verified
Performance
- llama.cpp · Q4_K_M Decode 102.09 · Prefill 450.54 ·
- llama.cpp · Q6_K Decode 73.25 · Prefill 373.92 ·
- Ollama · IQ3_XS (current)Decode 108 · Prefill 446.71 ·
- Ollama · Q4_K_S Decode 102.76 · Prefill 333.29 ·
Core figures
- Decode (avg)
- 108 tok/s
- Prefill (avg)
- 446.71 tok/s
- TTFT (avg)
- 1.63 s
- VRAM (avg)
- 12.52 GB
- MTP acceptance rate
- —
- TTFB
- 0.86 GB
- Power draw
- 120.9 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3-8B
- Quantization
- IQ3_XS
- Framework
- Ollama
- Version
- v0.46
- Context length
- 2048 tokens
- Batch size
- 512
- GPU layers
- 20
- Flash Attention
- Off
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M5 Ultra
- Nominal VRAM
- 512 GB
- Measured VRAM (avg)
- 12.52 GB
- OS
- macOS 26.1
- Power draw
- 120.9 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.46 · macOS 26.1 · 2048 ctx
108 tok/s
Decode
446.71 tok/s
Prefill
1.63 s
TTFT
12.52 GB
VRAM
—
MTP
120.9 W
Power draw
L2 batch seed 2026-10-19: Ollama on hw_id=29 running model_id=53 at IQ3_XS