1Can the Core i9-9920X and GeForce RTX 4090 run League of Legends well?
The Core i9-9920X and GeForce RTX 4090 will struggle to run League of Legends at smooth framerates.
League of LegendsFPS onCore i9-9920X&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.
Performance Report
League of Legends
GeForce RTX 4090 + Core i9-9920X
🎮Visual Experience
✅Official Requirements
The GeForce RTX 4090 is 1277% above the recommended GPU (GeForce GTX 560) for League of Legends. The Core i9-9920X is 290% above the recommended CPU (Core i5-3330).
✅FPS Ceiling Analysis
No major FPS-ceiling mismatch detected. The GeForce RTX 4090 and Core i9-9920X stay close in effective frame-generation ceiling across the tested resolutions and quality settings.
💰Value Analysis
📊Predicted Hardware Utilization for Core i9-9920X and GeForce RTX 4090
| Resolution | Low | Medium | High | Ultra |
|---|---|---|---|---|
| 1080p (Full HD) | CPU8% - 26% <> GPU35% - 36% <> | CPU13% - 37% <> GPU37% - 38% <> | CPU13% - 37% <> GPU37% - 38% <> | CPU12% - 35% <> GPU39% - 39% |
| 1440p (2K QHD) | CPU7% - 15% <> GPU36% - 42% <> | CPU12% - 25% <> GPU39% - 42% <> | CPU12% - 25% <> GPU39% - 42% <> | CPU11% - 23% <> GPU41% - 45% <> |
| 4K (Ultra HD) | CPU7% - 16% <> GPU64% - 68% <> | CPU12% - 25% <> GPU68% - 68% | CPU12% - 25% <> GPU68% - 68% | CPU11% - 23% <> GPU70% - 71% <> |
1080p (Full HD)
Low
CPU8% - 26%
<>
GPU35% - 36%
<>
Medium
CPU13% - 37%
<>
GPU37% - 38%
<>
High
CPU13% - 37%
<>
GPU37% - 38%
<>
Ultra
CPU12% - 35%
<>
GPU39% - 39%
1440p (2K QHD)
Low
CPU7% - 15%
<>
GPU36% - 42%
<>
Medium
CPU12% - 25%
<>
GPU39% - 42%
<>
High
CPU12% - 25%
<>
GPU39% - 42%
<>
Ultra
CPU11% - 23%
<>
GPU41% - 45%
<>
4K (Ultra HD)
Low
CPU7% - 16%
<>
GPU64% - 68%
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Medium
CPU12% - 25%
<>
GPU68% - 68%
High
CPU12% - 25%
<>
GPU68% - 68%
Ultra
CPU11% - 23%
<>
GPU70% - 71%
<>
Performance Summary
The Core i9-9920X + GeForce RTX 4090 pairing runs this title with CPU utilization between 7% and 37% and GPU utilization between 35% and 71%. Core i9-9920X 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 68% at 4K, while CPU averages move from 23% to 16%.
Load Interpretation
The utilization pattern is relatively even. The GeForce RTX 4090 reaches 70% average at its highest-load preset, while the Core i9-9920X peaks at 25% 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 23% and GPU 38%. At 1440p, that shifts to CPU 16% and GPU 41%, and at 4K it reaches CPU 16% and GPU 68%. This shows that workload scaling is present on both components, with stronger pressure on the GPU.
Optimal Settings Recommendation
4K (Ultra HD) Ultra is the most balanced preset based on this dataset. It runs around CPU 17% (11-23%) and GPU 70% (70-71%), which keeps GeForce RTX 4090 well utilized without constant max-out behavior while Core i9-9920X remains stable for consistent frame delivery.
Upgrade Insight
Current utilization does not show an urgent upgrade requirement for either component; the Core i9-9920X 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 i9-9920X
24,974
Your Score
MinimumCore i3-530
RecommendedCore i5-3330
GPU - GeForce RTX 4090
38,112
Your Score
MinimumGeForce 9600 GT
RecommendedGeForce GTX 560
Your CPU is 290% above and your GPU is 1277% above the recommended specs. Ultra settings at 1080p, or High at 1440p/4K.
+290%vsrecommended
+1277%vsrecommended
+1090%vsminimum
+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
2Is there a more cost-effective setup to run League of Legends?
This CPU + GPU combo costs approximately $2113 ($464 CPU (Rank #333 Value) + $1649 GPU (Rank #77 Value)). This is a well-balanced setup, meaning you're getting good value from both components without significant waste.
3Which component should I upgrade first to improve League of Legends performance?
This setup is already well-balanced for League of Legends. No significant bottleneck - CPU and GPU are well matched across all settings. Both the Core i9-9920X and GeForce RTX 4090 complement each other effectively, so upgrading either component individually would yield diminishing returns. If you want more FPS, you'd benefit most from upgrading both CPU and GPU together.
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 i9-9920X 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 i9-9920X 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.