League of LegendsFPS onCore i9-14900KF&GeForce RTX 4090

League of Legends

As the world's most popular MOBA, League of Legends runs on a proprietary engine that has been updated for over a decade. Recently, Riot increased the minimum requirements to include AVX instruction support and dropped support for older OSs and DirectX 9. While still lightweight, modern team fights with complex particle effects can strain older integrated graphics. The game scales well with single-thread CPU performance, meaning even modern entry-level processors can deliver high frame rates.

League of Legends - FPS Estimates by Resolution

Actual FPS may vary based on RAM speed, background processes, and other system factors

1080P
low700 FPS
medium600 FPS
high500 FPS
ultra441 FPS
1440P
low666 FPS
medium559 FPS
high469 FPS
ultra401 FPS
4K
low504 FPS
medium439 FPS
high365 FPS
ultra288 FPS

Performance Report

League of Legends

GeForce RTX 4090 + Core i9-14900KF
🎮Visual Experience

At 1080p, all quality settings exceed 441 FPS, suitable for 144Hz+ monitors. At 1440p, all settings exceed 401 FPS. At 4K, all settings exceed 288 FPS.

Official Requirements

The GeForce RTX 4090 is 1277% above the recommended GPU (GeForce GTX 560) for League of Legends. The Core i9-14900KF is 810% above the recommended CPU (Core i5-3330).

⚙️Bottleneck Analysis

The GeForce RTX 4090 determines the performance ceiling at 1080p (medium/high/ultra), all 1440p settings, all 4k settings, executing at maximum capacity. The system is well balanced at 1080p low.

💰Value Analysis

Approximated average price on current market:

GeForce RTX 4090:$1649(updated 2/6/2026)
Official Launch Price: $1599
Core i9-14900KF:$480(updated 3/9/2026)
Official Launch Price: $564

Combo price: $2129. At 1080p Ultra, this combo delivers 441 FPS, equivalent to 0.21 FPS per dollar.

ResolutionLowMediumHighUltra
1080p0.329 fps/$0.282 fps/$0.235 fps/$0.207 fps/$
1440p0.313 fps/$0.263 fps/$0.220 fps/$0.188 fps/$
4k0.237 fps/$0.206 fps/$0.171 fps/$0.135 fps/$

* Table values represent FPS per Dollar (higher is better)

Performance Limiter Analysis

Core i9-14900KF|GeForce RTX 4090
📈Analysis

At 4k ultra, the GeForce RTX 4090 sets the ceiling at about 232 FPS, while the Core i9-14900KF has headroom up to 288 FPS. In this scenario, the GPU limits the CPU potential by 19% (FPS gap: 56 FPS). Overall distribution: GPU limits 11/12 cells, CPU limits 0/12, balanced 1/12.

Verdict

GPU Limits CPU

Your GeForce RTX 4090 is the limiting side in the heaviest mismatch. This means part of the Core i9-14900KF frame-generation potential remains unused in those settings.

🧩Detailed Breakdown
1080p (Full HD)
LowBalanced
MediumGPU Limits CPU 6%
HighGPU Limits CPU 8%
UltraGPU Limits CPU 10%
1440p (2K QHD)
LowGPU Limits CPU 7%
MediumGPU Limits CPU 11%
HighGPU Limits CPU 12%
UltraGPU Limits CPU 18%
4K (Ultra HD)
LowGPU Limits CPU 13%
MediumGPU Limits CPU 14%
HighGPU Limits CPU 17%
UltraGPU Limits CPU 19%
Percentages show how much potential FPS of the stronger component is lost because the other component has a lower FPS ceiling.
🧠Methodology

We estimate the maximum FPS the processor can sustain and the maximum FPS the graphics card can sustain in each setting, then compare those limits directly.

Limit Factor formula: (stronger - weaker) / stronger. Example: if CPU ceiling is 200 FPS and GPU ceiling is 140 FPS, then GPU limits CPU by 30%.

CPU Limits GPU means the processor ceiling is lower. GPU Limits CPU means the graphics ceiling is lower. Balanced means the FPS ceilings are close enough that the gap is negligible.

The displayed percentages are derived from FPS ceilings, not generic utilization heuristics.

📊Predicted Hardware Utilization for Core i9-14900KF and GeForce RTX 4090

1080p (Full HD)

Low
CPU10% - 21%
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GPU15% - 22%
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Medium
CPU16% - 34%
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GPU16% - 25%
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High
CPU16% - 34%
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GPU16% - 25%
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Ultra
CPU15% - 29%
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GPU17% - 25%
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1440p (2K QHD)

Low
CPU10% - 22%
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GPU17% - 26%
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Medium
CPU16% - 34%
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GPU18% - 29%
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High
CPU16% - 34%
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GPU18% - 29%
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Ultra
CPU14% - 30%
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GPU19% - 30%
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4K (Ultra HD)

Low
CPU6% - 18%
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GPU39% - 51%
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Medium
CPU12% - 30%
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GPU39% - 53%
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High
CPU12% - 30%
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GPU39% - 53%
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Ultra
CPU10% - 25%
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GPU41% - 53%
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Performance Summary

The Core i9-14900KF + GeForce RTX 4090 pairing runs this title with CPU utilization between 6% and 34% and GPU utilization between 15% and 53%. Core i9-14900KF keeps significant headroom across presets, while GeForce RTX 4090 is utilized efficiently without persistent saturation. As resolution scales, average GPU load rises from 20% at 1080p to 46% at 4K, while CPU averages move from 22% to 18%.

Bottleneck Analysis

Neither component is close to saturation: CPU tops out at 34% and GPU at 53%. This pattern suggests possible engine-side limits, an FPS cap, or workload constraints unrelated to raw hardware throughput.

Resolution Scaling

At 1080p, averages sit around CPU 22% and GPU 20%. At 1440p, that shifts to CPU 22% and GPU 24%, and at 4K it reaches CPU 18% and GPU 46%. This shows that GPU demand scales sharply with resolution while CPU load remains comparatively stable.

Optimal Settings Recommendation

4K (Ultra HD) Ultra is the most balanced preset based on this dataset. It runs around CPU 18% (10-25%) and GPU 47% (41-53%), which keeps GeForce RTX 4090 well utilized without constant max-out behavior while Core i9-14900KF remains stable for consistent frame delivery.

Upgrade Insight

Current utilization does not show an urgent upgrade requirement for either component; the Core i9-14900KF and GeForce RTX 4090 remain reasonably matched for this title.

Understanding Hardware Utilization & Bottlenecks: These percentages represent how much of your component's maximum processing power is actively being used during gameplay. This is the key to identifying performance bottlenecks in any system.

  • The Ideal Scenario (GPU Bottleneck): You typically want to see High GPU Utilization (90%+) and moderate CPU usage. This indicates your system is successfully pushing out graphics as fast as it can, without being held back by the CPU.
  • CPU Bottleneck: If you see High CPU Utilization (85%+) paired with lower GPU utilization, the CPU is struggling to compute game logic and prepare frames fast enough. The GPU sits waiting, often resulting in stuttering, inconsistent frame times, and lower overall FPS.
  • Engine Limits or Capped FPS: If both CPU and GPU utilization are relatively low, it means the hardware is waiting on something else. This could be a game engine limitation, poorly optimized code, or an artificial framerate cap like VSync holding performance back.

Data generated by our Machine Learning engine trained on real-world benchmarks. Shows the approximate average utilization at each setting.

League of Legends Requirements Comparison

See how your processor and graphics card compare against the game official minimum and recommended system specs. The placement of your hardware is calculated using relative synthetic performance scores to help you gauge overall playability.

CPU - Core i9-14900KF
cpu icon
58,333
Your Score
MinimumCore i3-530
RecommendedCore i5-3330
GPU - GeForce RTX 4090
gpu icon
38,112
Your Score
MinimumGeForce 9600 GT
RecommendedGeForce GTX 560

Your CPU is 810% above and your GPU is 1277% above the recommended specs. Ultra settings at 1080p, or High at 1440p/4K.

CPU

+810%vsrecommended

GPU

+1277%vsrecommended

CPU

+2680%vsminimum

GPU

+6755%vsminimum

Minimum Requirements
Video Card: GeForce 9600 GT
Processor: Core i3-530
Memory: 2 GB
Disk Space: 16 GB
System: Windows 10 64-bit
Recommended Requirements
Video Card: GeForce GTX 560
Processor: Core i5-3330
Memory: 4 GB
Disk Space: 16 GB (SSD)
System: Windows 11 64-bit

Frequently Asked Questions

1Can the Core i9-14900KF and GeForce RTX 4090 run League of Legends well?

Yes, the Core i9-14900KF paired with the GeForce RTX 4090 can run League of Legends smoothly up to 4k achieving around 288 FPS at Ultra quality. Your GPU is 1277% above the recommended specs, and your CPU is 810% above the recommended requirements.

2Is there a more cost-effective setup to run League of Legends?

This CPU + GPU combo costs approximately $2129 ($480 CPU (Rank #127 Value) + $1649 GPU (Rank #77 Value)). Your GeForce RTX 4090 provides phenomenal top-tier performance but at a premium enthusiast price. Since you are essentially at the ceiling of current hardware capabilities, there are no meaningful performance upgrades available. However, if you wanted a more cost-effective build that still delivers a great experience, you could theoretically step down to a high-end card with a significantly better value rating.

3Which component should I upgrade first to improve League of Legends performance?

Your GeForce RTX 4090 is already a top-tier graphics card. While it's technically the limiting factor here (which means you are fully utilizing your GPU's visual horsepower exactly as intended), there is no meaningful upgrade path that would drastically improve your League of Legends performance right now. GPU fully utilized at: 1080p medium, 1080p high, 1080p ultra, 1440p low, 1440p medium, 1440p high, 1440p ultra, 4k low, 4k medium, 4k high, 4k ultra.

4Does this setup support Frame Generation for League of Legends?

League of Legends does not currently support Frame Generation technologies like DLSS 3 or FSR 3. Your performance is based entirely on native rendering. If the game adds support in a future update, newer GPUs will benefit the most.

5What are the minimum and recommended specs for League of Legends?

League of Legends requires at minimum a Core i3-530 (CPU) and GeForce 9600 GT (GPU) with 2 GB RAM and 16 GB storage. For the recommended experience, you need a Core i5-3330 and GeForce GTX 560 with 4 GB RAM. Your Core i9-14900KF and GeForce RTX 4090 both exceed the recommended specs, so you're well-positioned for a great experience.

6How accurate are these League of Legends FPS estimates for the Core i9-14900KF and GeForce RTX 4090?

These League of Legends FPS results are not arbitrary numbers. They come from calculations informed by thousands of real gaming benchmarks, and the typical accuracy range is around 10% to 15%. That makes them far more useful than generic FPS calculators that simply invent values without a benchmark foundation. Actual in-game performance can still vary with drivers, updates, RAM configuration, cooling, and the exact scene being rendered.

Performance estimates are based on synthetic benchmarks and hardware capabilities.

Results may vary based on drivers, OS, and background processes.