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Qwen3-8B · IQ2_XS

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NVIDIA Jetson AGX Orin 64GB64GBllama.cpp v0.33L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-8B (IQ2_XS) on NVIDIA Jetson AGX Orin 64GB with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

81.76 tok/s

Decode

Decode speed

342.2 tok/s

Prefill

Prefill speed

0.11 s

TTFT

Time to first token

10.16 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. llama.cpp · IQ1_S Decode 80.69 · Prefill 386.89 ·
  2. llama.cpp · IQ2_XS (current)Decode 81.76 · Prefill 342.2 ·
  3. Ollama · FP16 Decode 24.64 · Prefill 90.65 ·
  4. Ollama · Q3_K_L Decode 56.02 · Prefill 230.05 ·
  5. vLLM · Q3_K_S Decode 73.73 · Prefill 262.59 ·
  6. vLLM · Q4_K_S Decode 62 · Prefill 313.33 ·

Core figures

Decode (avg)
81.76 tok/s
Prefill (avg)
342.2 tok/s
TTFT (avg)
0.11 s
VRAM (avg)
10.16 GB
MTP acceptance rate
—
TTFB
0.65 GB
Power draw
23.7 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
IQ2_XS
Framework
llama.cpp
Version
v0.33
Context length
2048 tokens
Batch size
512
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
NVIDIA Jetson AGX Orin 64GB
Nominal VRAM
64 GB
Measured VRAM (avg)
10.16 GB
OS
JetPack 6.0
Driver
NVIDIA L4T 36.3
CUDA
12.6
Power draw
23.7 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.33 · JetPack 6.0 · CUDA 12.6 · 2048 ctx

    81.76 tok/s

    Decode

    342.2 tok/s

    Prefill

    0.11 s

    TTFT

    10.16 GB

    VRAM

    —

    MTP

    23.7 W

    Power draw

    L2 batch seed 2026-10-16: llama.cpp on hw_id=76 running model_id=53 at IQ2_XS