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Llama-3-8B-Instruct · Q5_K_M

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NVIDIA RTX PRO 6000 Blackwell 96GB96GBllama.cpp v0.44L2 Cross-framework verified

This page aggregates 1 real-world runs of Llama-3-8B-Instruct (Q5_K_M) on NVIDIA RTX PRO 6000 Blackwell 96GB with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

194.41 tok/s

Decode

Decode speed

877.5 tok/s

Prefill

Prefill speed

1.59 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

17 days ago

Last verified

Performance

  1. llama.cpp · IQ2_M Decode 345.66 · Prefill 1718.2 ·
  2. llama.cpp · Q5_K_M (current)Decode 194.41 · Prefill 877.5 ·
  3. Ollama · Q3_K_M Decode 249.19 · Prefill 1206.14 ·
  4. Ollama · Q6_K Decode 185.73 · Prefill 814.54 ·

Core figures

Decode (avg)
194.41 tok/s
Prefill (avg)
877.5 tok/s
TTFT (avg)
1.59 s
VRAM (avg)
17.72 GB
MTP acceptance rate
—
TTFB
1.56 GB
Power draw
398.9 W

Configuration

Member-level fields are taken from the most recent run

Model
Llama-3-8B-Instruct
Quantization
Q5_K_M
Framework
llama.cpp
Version
v0.44
Context length
8192 tokens
Batch size
512
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
NVIDIA RTX PRO 6000 Blackwell 96GB
Nominal VRAM
96 GB
Measured VRAM (avg)
17.72 GB
OS
Ubuntu 22.04
Driver
560.94
CUDA
12.6
Power draw
398.9 W

Sources & evidence

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

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

    v0.44 · Ubuntu 22.04 · CUDA 12.6 · 8192 ctx

    194.41 tok/s

    Decode

    877.5 tok/s

    Prefill

    1.59 s

    TTFT

    17.72 GB

    VRAM

    —

    MTP

    398.9 W

    Power draw

    L2 batch seed 2026-10-19: llama.cpp on hw_id=68 running model_id=69 at Q5_K_M