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Qwen2.5-Omni-3B · FP16

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NVIDIA RTX 509032GBStrata v0.31L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-Omni-3B (FP16) on NVIDIA RTX 5090 with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.

238.76 tok/s

Decode

Decode speed

798.02 tok/s

Prefill

Prefill speed

1.22 s

TTFT

Time to first token

13.76 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 · IQ4_XS Decode 375.39 · Prefill 1839.32 ·
  2. llama.cpp · Q6_K Decode 277.82 · Prefill 934.6 ·
  3. Strata · FP16 (current)Decode 238.76 · Prefill 798.02 ·
  4. Strata · IQ3_S Decode 359.64 · Prefill 1323.17 ·
  5. llama.cpp · Q8_0 Decode 436.8 · Prefill 3276 ·
  6. llama.cpp · Q5_K_M Decode 635.3 · Prefill 4764.8 ·
  7. llama.cpp · Q4_K_M Decode 776.5 · Prefill 5823.8 ·

Core figures

Decode (avg)
238.76 tok/s
Prefill (avg)
798.02 tok/s
TTFT (avg)
1.22 s
VRAM (avg)
13.76 GB
MTP acceptance rate
0.5
TTFB
1.91 GB
Power draw
249.1 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-Omni-3B
Quantization
FP16
Framework
Strata
Version
v0.31
Context length
32768 tokens
Batch size
512
GPU layers
15
Flash Attention
On

Hardware

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

GPU
NVIDIA RTX 5090
Nominal VRAM
32 GB
Measured VRAM (avg)
13.76 GB
OS
Ubuntu 22.04
Driver
565.57
CUDA
12.6
Power draw
249.1 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

    v0.31 · Ubuntu 22.04 · CUDA 12.6 · 32768 ctx

    238.76 tok/s

    Decode

    798.02 tok/s

    Prefill

    1.22 s

    TTFT

    13.76 GB

    VRAM

    0.5

    MTP

    249.1 W

    Power draw

    L2 batch seed 2026-10-16: Strata on hw_id=13 running model_id=60 at FP16