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Qwen3-Embedding-0.6B · IQ3_XS
Apple M5 Max128GBOllama v0.44L2 Cross-framework verified
This page aggregates 1 real-world runs of Qwen3-Embedding-0.6B (IQ3_XS) on Apple M5 Max with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
290.71 tok/s
Decode
Decode speed
1,516.13 tok/s
Prefill
Prefill speed
1.37 s
TTFT
Time to first token
2.88 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 · Q6_K Decode 297.37 · Prefill 1423.38 ·
- vLLM · FP16 Decode 257.66 · Prefill 966.33 ·
- vLLM · IQ2_M Decode 302.89 · Prefill 1094.91 ·
- Ollama · IQ3_XS (current)Decode 290.71 · Prefill 1516.13 ·
Core figures
- Decode (avg)
- 290.71 tok/s
- Prefill (avg)
- 1,516.13 tok/s
- TTFT (avg)
- 1.37 s
- VRAM (avg)
- 2.88 GB
- MTP acceptance rate
- —
- TTFB
- 2.33 GB
- Power draw
- 82.6 W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3-Embedding-0.6B
- Quantization
- IQ3_XS
- Framework
- Ollama
- Version
- v0.44
- Context length
- 16384 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)
- 2.88 GB
- OS
- macOS 15.0
- Driver
- Apple M5 Max
- CUDA
- N/A
- Power draw
- 82.6 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.44 · macOS 15.0 · CUDA N/A · 16384 ctx
290.71 tok/s
Decode
1,516.13 tok/s
Prefill
1.37 s
TTFT
2.88 GB
VRAM
—
MTP
82.6 W
Power draw
L2 batch seed 2026-10-13: Ollama on hw_id=28 running model_id=62 at IQ3_XS