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RUNLOCALAI · v38
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  4. /Phi-4 Reasoning 14B × NVIDIA GeForce RTX 3080 16GB (Mobile)
✓Editorial
RunLocalAI measured

Phi-4 Reasoning 14B on NVIDIA GeForce RTX 3080 16GB (Mobile)

Measured this month.

Why trust this benchmark?

Measurement

tok/s
40.4
TTFT
226 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
41.02 tok/sTTFT 5282 ms
Steady-state median
40.44 tok/sP5 39.7 · P95 40.5
Runs captured
5
Scenario
Single-stream
Editorial notes

5-run capture · variance 2.5% · 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
9d3324def3df...
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 hardware, different model

12 matching rows

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

Median tok/s
67.6
Spread
38.3 – 80.4
CoV
23%
  • 38.3 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_M✓Editorial
  • 43.3 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_M✓Editorial
  • 43.4 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_M✓Editorial
  • 65.7 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_M✓Editorial
  • 66.0 tok/srtx-3080-16gb-mobileollama version is 0.24.0Q4_K_M✓Editorial
  • +7 more

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Related

Drill into the entity pages for this measurement.

Phi-4 Reasoning 14B 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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Next recommended step

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