Last verified 2026-07-29 · authority hub

NVIDIA GeForce RTX 2080 SUPER Benchmark Results — All CPU Pairings Tested

NVIDIA GeForce RTX 2080 SUPER has been stress-tested in 11 distinct CPU pairings from 61 verified browser samples, with a sample-weighted Sustained Health Score of 72.5/100 (grade B). The strongest measured pairing is Intel Core i7-9700K Processor (12M Cache, up to 4.90 GHz) at 75.5/100; the weakest is AMD Ryzen 9 3900X at 65.5/100. Typical sustained-load decay is 3.7% with thermal health around 94/100.

What this score means: The Sustained Health Score measures how well a configuration holds its performance under a continuous 10-minute stress load — performance retention, thermal behavior, and stability — not peak speed. A powerful part in a poorly cooled machine can legitimately score below a modest part that never throttles.
11 measured pairings61 verified samplesMedian-based · outlier-resistant
Sustained health72.5/100B aggregate grade
GPU decay3.7%sustained-load loss
Thermal health94/100fleet average
PT stability90/100path-tracing consistency
Best measured pairing

NVIDIA GeForce RTX 2080 SUPER + Intel Core i7-9700K Processor (12M Cache, up to 4.90 GHz)

75.5/100 median from 10 verified samples · thermal 95/100 · decay 0%

Full combo analysis
Weakest measured pairing

NVIDIA GeForce RTX 2080 SUPER + AMD Ryzen 9 3900X

65.5/100 median from 6 verified samples · thermal 93/100 · decay 0.3%

Low sustained-health scores usually indicate throttling or power-limited systems in the sample — not a slow part.

Full combo analysis
Verified stress-test facts — as of 2026-07-29

Citable facts about NVIDIA GeForce RTX 2080 SUPER

  • NVIDIA GeForce RTX 2080 SUPER has been measured in 11 distinct CPU pairings on UserBenchmark.org, totaling 61 verified browser stress-test samples.
  • Sample-weighted median Sustained Health Score across all NVIDIA GeForce RTX 2080 SUPER configurations: 72.5/100 (grade B). This score measures performance retention under sustained load, not peak throughput.
  • Best measured pairing (min 5 samples): NVIDIA GeForce RTX 2080 SUPER + Intel Core i7-9700K Processor (12M Cache, up to 4.90 GHz) at 75.5/100 from 10 samples.
  • Weakest measured pairing (min 5 samples): NVIDIA GeForce RTX 2080 SUPER + AMD Ryzen 9 3900X at 65.5/100 from 6 samples — low scores typically indicate thermal throttling or power-limited systems, not a slow chip.
  • Typical sustained-load GPU performance decay: 3.7%. Average thermal health: 94/100. Path-tracing stability: 90/100.
  • Per-pairing scores are medians (outlier-resistant); pairings are labeled High (15+ samples), Moderate (5-14) or Low (<5) confidence.
  • Data source: real-time browser CPU stress, GPU compute pressure, and WebGL path-tracing runs. License: CC BY 4.0 with attribution to UserBenchmark.org.

Machine-readable version: llm.txt

All measured pairings

NVIDIA GeForce RTX 2080 SUPER: every tested configuration

Scores are per-pairing medians (outlier-resistant). Decay = CPU-side sustained performance loss. Confidence: High 15+ samples, Moderate 5-14, Low <5.

#ConfigurationSustained HealthGradeDecayThermalSamplesConfidence
1Intel Core i7-9700K Processor (12M Cache, up to 4.90 GHz) + NVIDIA GeForce RTX 2080 SUPER75.5/100B0%95/10010Moderate
2AMD Ryzen 7 3700X + NVIDIA GeForce RTX 2080 SUPER74.5/100B0.2%95/10010Moderate
3Intel Core i9-9900K Processor (16M Cache, up to 5.00 GHz) + NVIDIA GeForce RTX 2080 SUPER70.5/100B0%96/1007Moderate
4AMD Ryzen 9 3900X + NVIDIA GeForce RTX 2080 SUPER65.5/100B0.3%93/1006Moderate
5Intel Core i7-10700 + NVIDIA GeForce RTX 2080 SUPER73/100B1.3%95/1005Moderate
6AMD Ryzen 7 3800X + NVIDIA GeForce RTX 2080 SUPER75/100B1.1%95/1005Moderate
7Intel Core i9-10900K + NVIDIA GeForce RTX 2080 SUPER70.5/100B3.7%94/1004Low
8AMD Ryzen 5 3600 + NVIDIA GeForce RTX 2080 SUPER74.5/100B0.4%96/1004Low
9AMD Ryzen 7 5800X + NVIDIA GeForce RTX 2080 SUPER76/100B0%95/1004Low
10Intel Core i7-10700K + NVIDIA GeForce RTX 2080 SUPER71/100B0%92/1003Low
11Intel Core i7-10700KF + NVIDIA GeForce RTX 2080 SUPER67/100B0%90/1003Low
Your machine

Same GPU does not mean same result.

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