League of LegendsFPS onRyzen AI 9 HX 370&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
ultra437 FPS
1440P
low676 FPS
medium550 FPS
high460 FPS
ultra384 FPS
4K
low507 FPS
medium434 FPS
high360 FPS
ultra283 FPS

Performance Report

League of Legends

GeForce RTX 4090 + Ryzen AI 9 HX 370
🎮Visual Experience

At 1080p, all quality settings exceed 437 FPS, suitable for 144Hz+ monitors. At 1440p, all settings exceed 384 FPS. At 4K, all settings exceed 283 FPS.

Official Requirements

The GeForce RTX 4090 is 1277% above the recommended GPU (GeForce GTX 560) for League of Legends. The Ryzen AI 9 HX 370 is 448% 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.

Performance Limiter Analysis

Ryzen AI 9 HX 370|GeForce RTX 4090
📈Analysis

At 4k ultra, the GeForce RTX 4090 sets the ceiling at about 232 FPS, while the Ryzen AI 9 HX 370 has headroom up to 283 FPS. In this scenario, the GPU limits the CPU potential by 18% (FPS gap: 51 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 Ryzen AI 9 HX 370 frame-generation potential remains unused in those settings.

🧩Detailed Breakdown
1080p (Full HD)
LowBalanced
MediumGPU Limits CPU 6%
HighGPU Limits CPU 7%
UltraGPU Limits CPU 9%
1440p (2K QHD)
LowGPU Limits CPU 8%
MediumGPU Limits CPU 9%
HighGPU Limits CPU 10%
UltraGPU Limits CPU 14%
4K (Ultra HD)
LowGPU Limits CPU 13%
MediumGPU Limits CPU 13%
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 Ryzen AI 9 HX 370 and GeForce RTX 4090

1080p (Full HD)

Low
CPU7% - 15%
<>
GPU8% - 23%
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Medium
CPU13% - 28%
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GPU9% - 25%
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High
CPU13% - 28%
<>
GPU9% - 25%
<>
Ultra
CPU11% - 23%
<>
GPU11% - 26%
<>

1440p (2K QHD)

Low
CPU7% - 15%
<>
GPU10% - 30%
<>
Medium
CPU13% - 27%
<>
GPU11% - 32%
<>
High
CPU13% - 27%
<>
GPU11% - 32%
<>
Ultra
CPU11% - 22%
<>
GPU13% - 33%
<>

4K (Ultra HD)

Low
CPU5% - 14%
<>
GPU46% - 56%
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Medium
CPU11% - 26%
<>
GPU46% - 58%
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High
CPU11% - 26%
<>
GPU46% - 58%
<>
Ultra
CPU9% - 21%
<>
GPU48% - 59%
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Performance Summary

The Ryzen AI 9 HX 370 + GeForce RTX 4090 pairing runs this title with CPU utilization between 5% and 28% and GPU utilization between 8% and 59%. Ryzen AI 9 HX 370 keeps significant headroom across presets, while GeForce RTX 4090 is utilized efficiently without persistent saturation. As resolution scales, average GPU load rises from 17% at 1080p to 52% at 4K, while CPU averages move from 17% to 15%.

Bottleneck Analysis

Neither component is close to saturation: CPU tops out at 28% and GPU at 59%. 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 17% and GPU 17%. At 1440p, that shifts to CPU 17% and GPU 22%, and at 4K it reaches CPU 15% and GPU 52%. 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 15% (9-21%) and GPU 54% (48-59%), which keeps GeForce RTX 4090 well utilized without constant max-out behavior while Ryzen AI 9 HX 370 remains stable for consistent frame delivery.

Upgrade Insight

Current utilization does not show an urgent upgrade requirement for either component; the Ryzen AI 9 HX 370 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 - Ryzen AI 9 HX 370
cpu icon
35,133
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 448% above and your GPU is 1277% above the recommended specs. Ultra settings at 1080p, or High at 1440p/4K.

CPU

+448%vsrecommended

GPU

+1277%vsrecommended

CPU

+1575%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 Ryzen AI 9 HX 370 and GeForce RTX 4090 run League of Legends well?

Yes, the Ryzen AI 9 HX 370 paired with the GeForce RTX 4090 can run League of Legends smoothly up to 4k achieving around 283 FPS at Ultra quality. Your GPU is 1277% above the recommended specs, and your CPU is 448% 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 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 Ryzen AI 9 HX 370 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 Ryzen AI 9 HX 370 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.