League of LegendsFPS onCore i9-13900TE&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
low515 FPS
medium515 FPS
high500 FPS
ultra450 FPS
1440P
low515 FPS
medium515 FPS
high486 FPS
ultra400 FPS
4K
low493 FPS
medium419 FPS
high346 FPS
ultra267 FPS

Performance Report

League of Legends

GeForce RTX 4090 + Core i9-13900TE
🎮Visual Experience

At 1080p, all quality settings exceed 450 FPS, suitable for 144Hz+ monitors. At 1440p, all settings exceed 400 FPS. At 4K, all settings exceed 267 FPS.

Official Requirements

The GeForce RTX 4090 is 1277% above the recommended GPU (GeForce GTX 560) for League of Legends. The Core i9-13900TE is 222% above the recommended CPU (Core i5-3330).

⚙️Bottleneck Analysis

At lower resolutions (1080p low, 1440p low), the Core i9-13900TE determines the performance ceiling. As graphical load increases at (1080p (high/ultra), 1440p (medium/high/ultra), all 4k settings), the GeForce RTX 4090 takes over as the primary performance factor. The system is well balanced at 1080p medium.

💰Value Analysis

Approximated average price on current market:

GeForce RTX 4090:$1649(updated 2/6/2026)
Official Launch Price: $1599
Core i9-13900TE:$554(updated 2/10/2026)
Official Launch Price: $554

Combo price: $2203. At 1080p Ultra, this combo delivers 450 FPS, equivalent to 0.2 FPS per dollar.

ResolutionLowMediumHighUltra
1080p0.234 fps/$0.234 fps/$0.227 fps/$0.204 fps/$
1440p0.234 fps/$0.234 fps/$0.221 fps/$0.182 fps/$
4k0.224 fps/$0.190 fps/$0.157 fps/$0.121 fps/$

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

Performance Limiter Analysis

Core i9-13900TE|GeForce RTX 4090
📈Analysis

At 1080p low, the Core i9-13900TE sets the ceiling at about 515 FPS, while the GeForce RTX 4090 could reach 657 FPS. In this scenario, the CPU limits the GPU potential by 22% (FPS gap: 142 FPS). Overall distribution: CPU limits 2/12 cells, GPU limits 9/12, balanced 1/12.

Verdict

CPU Limits GPU

Your Core i9-13900TE is the limiting side in the heaviest mismatch. This means part of the GeForce RTX 4090 rendering potential remains unused in those settings.

🧩Detailed Breakdown
1080p (Full HD)
LowCPU Limits GPU 22%
MediumBalanced
HighGPU Limits CPU 12%
UltraGPU Limits CPU 16%
1440p (2K QHD)
LowCPU Limits GPU 14%
MediumGPU Limits CPU 8%
HighGPU Limits CPU 19%
UltraGPU Limits CPU 22%
4K (Ultra HD)
LowGPU Limits CPU 14%
MediumGPU Limits CPU 14%
HighGPU Limits CPU 16%
UltraGPU Limits CPU 18%
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 i9-13900TE and GeForce RTX 4090

1080p (Full HD)

Low
CPU8% - 25%
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GPU25% - 35%
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Medium
CPU14% - 38%
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GPU26% - 37%
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High
CPU14% - 38%
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GPU26% - 37%
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Ultra
CPU12% - 33%
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GPU28% - 37%
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1440p (2K QHD)

Low
CPU8% - 18%
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GPU32% - 36%
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Medium
CPU14% - 30%
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GPU33% - 39%
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High
CPU14% - 30%
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GPU33% - 39%
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Ultra
CPU12% - 26%
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GPU35% - 40%
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4K (Ultra HD)

Low
CPU8% - 19%
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GPU61% - 62%
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Medium
CPU14% - 30%
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GPU62% - 65%
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High
CPU14% - 30%
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GPU62% - 65%
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Ultra
CPU12% - 26%
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GPU64% - 66%
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Performance Summary

The Core i9-13900TE + GeForce RTX 4090 pairing runs this title with CPU utilization between 8% and 38% and GPU utilization between 25% and 66%. Core i9-13900TE keeps significant headroom across presets, while GeForce RTX 4090 is utilized efficiently without persistent saturation. As resolution scales, average GPU load rises from 32% at 1080p to 64% at 4K, while CPU averages move from 23% to 19%.

Bottleneck Analysis

The utilization pattern is relatively balanced. The GeForce RTX 4090 reaches 65% average at its highest-load preset, while the Core i9-13900TE peaks at 26% average, with no single component consistently acting as a hard bottleneck.

Resolution Scaling

At 1080p, averages sit around CPU 23% and GPU 32%. At 1440p, that shifts to CPU 19% and GPU 36%, and at 4K it reaches CPU 19% and GPU 64%. 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 19% (12-26%) and GPU 65% (64-66%), which keeps GeForce RTX 4090 well utilized without constant max-out behavior while Core i9-13900TE remains stable for consistent frame delivery.

Upgrade Insight

Current utilization does not show an urgent upgrade requirement for either component; the Core i9-13900TE 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 i9-13900TE
cpu icon
20,602
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 222% above and your GPU is 1277% above the recommended specs. Ultra settings at 1080p, or High at 1440p/4K.

CPU

+222%vsrecommended

GPU

+1277%vsrecommended

CPU

+882%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 i9-13900TE and GeForce RTX 4090 run League of Legends well?

Yes, the Core i9-13900TE paired with the GeForce RTX 4090 can run League of Legends smoothly up to 4k achieving around 267 FPS at Ultra quality. Your GPU is 1277% above the recommended specs, and your CPU is 222% above the recommended requirements.

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

This CPU + GPU combo costs approximately $2203 ($554 CPU (Rank #374 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 high, 1080p ultra, 1440p medium, 1440p high, 1440p ultra, 4k low, 4k medium, 4k high, 4k ultra. CPU-limited at: 1080p low, 1440p low.

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 i9-13900TE 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 i9-13900TE 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.