Arao AI
Back to search results

Qwen3-8B · Q3_K_L

Start a discussion
Apple M4 Max128GBllama.cpp v0.36L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-8B (Q3_K_L) on Apple M4 Max with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

189.78 tok/s

Decode

Decode speed

777.5 tok/s

Prefill

Prefill speed

0.66 s

TTFT

Time to first token

14.2 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · Q2_K Decode 238 · Prefill 1037.55 ·
  2. llama.cpp · Q3_K_L (current)Decode 189.78 · Prefill 777.5 ·
  3. vLLM · FP16 Decode 103.62 · Prefill 346.91 ·
  4. vLLM · IQ1_S Decode 287.05 · Prefill 1522.92 ·
  5. Ollama · FP16 Decode 81 · Prefill 424.01 ·
  6. Ollama · IQ4_XS Decode 182.06 · Prefill 996.81 ·

Core figures

Decode (avg)
189.78 tok/s
Prefill (avg)
777.5 tok/s
TTFT (avg)
0.66 s
VRAM (avg)
14.2 GB
MTP acceptance rate
—
TTFB
1.52 GB
Power draw
62.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
Q3_K_L
Framework
llama.cpp
Version
v0.36
Context length
4096 tokens
Batch size
256
GPU layers
99
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
Apple M4 Max
Nominal VRAM
128 GB
Measured VRAM (avg)
14.2 GB
OS
macOS 15.0
Driver
Apple M4 Max
CUDA
N/A
Power draw
62.8 W

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-10

    v0.36 · macOS 15.0 · CUDA N/A · 4096 ctx

    189.78 tok/s

    Decode

    777.5 tok/s

    Prefill

    0.66 s

    TTFT

    14.2 GB

    VRAM

    —

    MTP

    62.8 W

    Power draw

    L2 batch seed 2026-10-10: llama.cpp on hw_id=26 running model_id=53 at Q3_K_L