League of LegendsFPS onCore i5-12600HE&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
low571 FPS
medium571 FPS
high499 FPS
ultra401 FPS
1440P
low571 FPS
medium504 FPS
high448 FPS
ultra363 FPS
4K
low465 FPS
medium399 FPS
high329 FPS
ultra246 FPS

Performance Report

League of Legends

GeForce RTX 4090 + Core i5-12600HE
🎮Visual Experience

At 1080p, all quality settings exceed 401 FPS, suitable for 144Hz+ monitors. At 1440p, all settings exceed 363 FPS. At 4K, all settings exceed 246 FPS.

Official Requirements

The GeForce RTX 4090 is 1277% above the recommended GPU (GeForce GTX 560) for League of Legends. The Core i5-12600HE is 256% above the recommended CPU (Core i5-3330).

⚙️FPS Ceiling Analysis

At lower resolutions (1080p low), the Core i5-12600HE sets the FPS ceiling. As graphical load increases at (1080p (high/ultra), 1440p (high/ultra), all 4k settings), the GeForce RTX 4090 becomes the FPS-limiting side. The FPS ceiling is closely matched at 1080p medium, 1440p (low/medium).

Performance Limiter Analysis

Core i5-12600HE|GeForce RTX 4090

This section is based on estimated CPU/GPU FPS ceilings, not utilization percentages.

📈Analysis

At 1440p ultra, the GeForce RTX 4090 sets the ceiling at about 312 FPS, while the Core i5-12600HE has headroom up to 363 FPS. In this scenario, the GPU limits the CPU potential by 14% (FPS gap: 51 FPS). Overall distribution: GPU limits 9/12 cells, CPU limits 1/12, balanced 2/12.

Verdict

Well Balanced

The Core i5-12600HE and GeForce RTX 4090 stay close in effective frame-generation ceiling across most presets, so neither side consistently suppresses the other by a large margin.

🧩Detailed Breakdown
1080p (Full HD)
LowCPU Limits GPU 13%
MediumGPU Limits CPU 6%
HighGPU Limits CPU 12%
UltraGPU Limits CPU 6%
1440p (2K QHD)
LowBalanced
MediumBalanced
HighGPU Limits CPU 11%
UltraGPU Limits CPU 14%
4K (Ultra HD)
LowGPU Limits CPU 8%
MediumGPU Limits CPU 9%
HighGPU Limits CPU 12%
UltraGPU Limits CPU 11%
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.

A component can still be the FPS limiter without reaching 100% utilization. The displayed percentages are derived from FPS ceilings, not generic utilization heuristics.

📊Predicted Hardware Utilization for Core i5-12600HE and GeForce RTX 4090

1080p (Full HD)

Low
CPU8% - 27%
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GPU35% - 37%
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Medium
CPU13% - 40%
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GPU38% - 38%
High
CPU13% - 40%
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GPU38% - 38%
Ultra
CPU12% - 36%
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GPU39% - 40%
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1440p (2K QHD)

Low
CPU7% - 18%
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GPU45% - 48%
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Medium
CPU13% - 30%
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GPU46% - 51%
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High
CPU13% - 30%
<>
GPU46% - 51%
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Ultra
CPU11% - 26%
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GPU49% - 54%
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4K (Ultra HD)

Low
CPU7% - 18%
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GPU61% - 63%
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Medium
CPU13% - 30%
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GPU63% - 68%
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High
CPU13% - 30%
<>
GPU63% - 68%
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Ultra
CPU11% - 25%
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GPU67% - 71%
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Performance Summary

The Core i5-12600HE + GeForce RTX 4090 pairing runs this title with CPU utilization between 7% and 40% and GPU utilization between 35% and 71%. Core i5-12600HE keeps significant headroom across presets, while GeForce RTX 4090 is utilized efficiently without persistent saturation. As resolution scales, average GPU load rises from 38% at 1080p to 66% at 4K, while CPU averages move from 24% to 19%.

Load Interpretation

The utilization pattern is relatively even. The GeForce RTX 4090 reaches 69% average at its highest-load preset, while the Core i5-12600HE peaks at 26% average. This suggests a fairly controlled load distribution, but the actual FPS-limiting side should still be read from the limiter analysis above.

Resolution Scaling

At 1080p, averages sit around CPU 24% and GPU 38%. At 1440p, that shifts to CPU 19% and GPU 49%, and at 4K it reaches CPU 19% and GPU 66%. 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% (11-25%) and GPU 69% (67-71%), which keeps GeForce RTX 4090 well utilized without constant max-out behavior while Core i5-12600HE remains stable for consistent frame delivery.

Upgrade Insight

Current utilization does not show an urgent upgrade requirement for either component; the Core i5-12600HE and GeForce RTX 4090 remain reasonably matched for this title.

Understanding Hardware Utilization: These percentages represent how much of your component's maximum processing power is actively being used during gameplay. They describe hardware load, but they do not directly tell you which component sets the FPS ceiling.

Important: a CPU or GPU can still be the FPS limiter without reaching 100% utilization. Two processors can both show 40% usage and still deliver very different frame rates, depending on per-core speed, cache, engine threading, driver overhead, and frame preparation efficiency.

  • High GPU Load: You typically want to see High GPU Utilization (90%+) and moderate CPU usage when visual settings are heavy. This indicates the graphics pipeline is under strong load, but the exact FPS limiter should still be confirmed by the FPS ceiling analysis.
  • High CPU Load: If you see High CPU Utilization (85%+) paired with lower GPU utilization, the processor is handling a disproportionate share of frame preparation and game logic. That can point to CPU-side pressure, but it should not be treated as a direct replacement for FPS ceiling analysis.
  • Low CPU and GPU Load: 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. It does not mean both parts are equally fast in FPS terms.

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 i5-12600HE
cpu icon
22,827
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 256% above and your GPU is 1277% above the recommended specs. Ultra settings at 1080p, or High at 1440p/4K.

CPU

+256%vsrecommended

GPU

+1277%vsrecommended

CPU

+988%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 i5-12600HE and GeForce RTX 4090 run League of Legends well?

Yes, the Core i5-12600HE paired with the GeForce RTX 4090 can run League of Legends smoothly up to 4k achieving around 246 FPS at Ultra quality. Your GPU is 1277% above the recommended specs, and your CPU is 256% above the recommended requirements.

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

Price data is not currently available for this combination. In general, look for setups where the CPU and GPU are balanced — this ensures you're not overspending on one component that the other can't keep up with.

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 high, 1440p ultra, 4k low, 4k medium, 4k high, 4k ultra. CPU-limited at: 1080p 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 i5-12600HE 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 i5-12600HE 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.