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Qwen3-8B · Q5_K_M

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NVIDIA RTX Spark128GBllama.cpp v0.51L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-8B (Q5_K_M) on NVIDIA RTX Spark with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

46.53 tok/s

Decode

Decode speed

174.57 tok/s

Prefill

Prefill speed

2 s

TTFT

Time to first token

17.72 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

16 days ago

Last verified

Performance

  1. llama.cpp · Q4_K_M Decode 51.02 · Prefill 251.27 ·
  2. llama.cpp · Q5_K_M (current)Decode 46.53 · Prefill 174.57 ·
  3. Ollama · Q3_K_L Decode 51.86 · Prefill 267.64 ·
  4. Ollama · Q4_K_M Decode 50.41 · Prefill 184.67 ·

Core figures

Decode (avg)
46.53 tok/s
Prefill (avg)
174.57 tok/s
TTFT (avg)
2 s
VRAM (avg)
17.72 GB
MTP acceptance rate
—
TTFB
0.37 GB
Power draw
58.6 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
Q5_K_M
Framework
llama.cpp
Version
v0.51
Context length
2048 tokens
Batch size
256
GPU layers
28
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX Spark
Nominal VRAM
128 GB
Measured VRAM (avg)
17.72 GB
OS
Ubuntu 24.04
Driver
NVIDIA 590.10
CUDA
13.0
Power draw
58.6 W
Reference price
$2,399 · updated 2026-10-19

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Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.51 · Ubuntu 24.04 · CUDA 13.0 · 2048 ctx

    46.53 tok/s

    Decode

    174.57 tok/s

    Prefill

    2 s

    TTFT

    17.72 GB

    VRAM

    —

    MTP

    58.6 W

    Power draw

    L2 batch seed 2026-10-19: llama.cpp on hw_id=110 running model_id=53 at Q5_K_M