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RUNLOCALAI · v38
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  2. Home
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  4. /YTU Turkish Gemma 9B v0.1 × NVIDIA GeForce RTX 3080 16GB (Mobile)
✓Editorial
RunLocalAI measured

YTU Turkish Gemma 9B v0.1 on NVIDIA GeForce RTX 3080 16GB (Mobile)

Measured this month.

Why trust this benchmark?

Measurement

tok/s
66.0
TTFT
369 ms
VRAM used
—
RAM used
—
Power
—
Quant
Q4_K_M
Context
4K
Run date
2026-06-02
Source
owner
Type
measured

V36.52 rigor detail

Protocol →
Cold-start decode
66.61 tok/sTTFT 4818 ms
Steady-state median
66.00 tok/sP5 65.7 · P95 66.8
Runs captured
5
Scenario
Single-stream
Editorial notes

5-run capture · variance 1.9% · scenario single-stream · runtime ollama

Evidence

What this row provides for independent review. Missing fields lower confidence; they are shown explicitly instead of hidden.

Source link
Open source
Evidence manifest
Open manifest
Command
Available
Raw logs
5 files
Raw results
5 files
Log hash
8ac298362c2b...
Operator
fred-oline
Runtime
ollama version is 0.24.0
Driver
571.96
CUDA / ROCm / Metal
12.8
OS
Microsoft Windows [Version 10.0.26200.8457]
Run count
5
Raw stats
Available
Environment notes
Not provided

Why this confidence tier?

High confidence

Confidence is rule-based. Every factor below contributed to the tier. We never expose a single numeric score; the tier label is auditable through this explanation alone.

Factors
  • +Measured by RunLocalAI editorial
How to improve this benchmark's confidence
  • Reproduce this benchmark →An independent reproduction with matching numbers lifts the tier and reduces single-source risk.
  • Read the confidence methodology →Full editorial standards for tiering.
  • Why we don't use percentages →Tier labels — auditable, no opaque score.

Cohort intelligence

How this measurement compares to the rest of the corpus. Only comparable rows (same model + hardware first, with relaxations labelled) are used. We never average across runtimes or quant formats unless explicitly told to.

Insufficient comparison data. Insufficient cohort (0 comparable measurements). Outlier detection requires ≥5.

Same model, different hardware

1 matching row

What this model looks like on adjacent hardware. Drives the 'should I upgrade?' question.

Median tok/s
101.1
Spread
101.1 – 101.1
  • 101.1 tok/srtx-5080ollama-local-apiQ4_K_M✓Editorial

Same hardware, different model

12 matching rows

What else this rig can run at the same quant bucket.

Median tok/s
80.1
Spread
65.7 – 87.3
CoV
9%
  • 65.7 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_M✓Editorial
  • 67.0 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_M✓Editorial
  • 68.2 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_M✓Editorial
  • 78.1 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_M✓Editorial
  • 79.3 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_M✓Editorial
  • +7 more

Reproduce this benchmark

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Related

Drill into the entity pages for this measurement.

YTU Turkish Gemma 9B v0.1 model page
NVIDIA GeForce RTX 3080 16GB (Mobile) hardware page
All measurements for this exact pair
Try NVIDIA GeForce RTX 3080 16GB (Mobile) in the build engine

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<a href="https://www.runlocalai.co/benchmarks/367" rel="noopener">RunLocalAI: YTU Turkish Gemma 9B v0.1 on NVIDIA GeForce RTX 3080 16GB (Mobile) — 66.0 tok/s</a>

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Next recommended step

Got the same model + hardware? Run it and submit your numbers — successful reproductions lift this benchmark's confidence tier.

Reproduce this benchmark
OrCompare other measurements for YTU Turkish Gemma 9B v0.1 on NVIDIA GeForce RTX 3080 16GB (Mobile)See the benchmark roadmap
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