Editorial
RunLocalAI measured

Llama 3.1 8B Instruct on NVIDIA GeForce RTX 5080

Measured 3 mo ago.

Why trust this benchmark?

Measurement

tok/s
135.6
TTFT
130 ms
VRAM used
—
RAM used
—
Power
—
Quant
Q4_K_M
Context
4K
Run date
2026-05-28
Source
owner
Type
measured

V36.52 rigor detail

Protocol →
Cold-start decode
136.52 tok/sTTFT 4248 ms
Steady-state median
135.62 tok/sP5 134.5 · P95 137.1
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
908b1e87e7b8...
Operator
fred-oline
Runtime
ollama version is 0.24.0
Driver
595.97
CUDA / ROCm / Metal
Not provided
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

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

9 matching rows

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

Median tok/s
133.4
Spread
61.5 – 443.7
CoV
73%

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