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Qwen3-8B · IQ1_S

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NVIDIA Jetson AGX Orin 64GB64GBllama.cpp v0.39L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-8B (IQ1_S) on NVIDIA Jetson AGX Orin 64GB with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

80.69 tok/s

Decode

Decode speed

386.89 tok/s

Prefill

Prefill speed

1.2 s

TTFT

Time to first token

9.16 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 (current)Decode 80.69 · Prefill 386.89 ·
  2. llama.cpp · IQ2_XS 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)
80.69 tok/s
Prefill (avg)
386.89 tok/s
TTFT (avg)
1.2 s
VRAM (avg)
9.16 GB
MTP acceptance rate
—
TTFB
0.65 GB
Power draw
19.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
IQ1_S
Framework
llama.cpp
Version
v0.39
Context length
4096 tokens
Batch size
256
GPU layers
28
Flash Attention
Off

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)
9.16 GB
OS
JetPack 6.0
Driver
NVIDIA L4T 36.3
CUDA
12.6
Power draw
19.3 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

    v0.39 · JetPack 6.0 · CUDA 12.6 · 4096 ctx

    80.69 tok/s

    Decode

    386.89 tok/s

    Prefill

    1.2 s

    TTFT

    9.16 GB

    VRAM

    —

    MTP

    19.3 W

    Power draw

    L2 batch seed 2026-10-16: llama.cpp on hw_id=76 running model_id=53 at IQ1_S