Honkai: Star RailFPS onEPYC 7F52&GeForce RTX 4090

Honkai: Star Rail

Being turn-based, extreme FPS is less critical here. The game features high-fidelity models and uses considerable storage for audio and cutscenes. 8GB of RAM is recommended for smooth operation.

This game has a built-in FPS cap of 60 FPS

Honkai: Star Rail - FPS Estimates by Resolution

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

1080P
low60 FPS
medium59 FPS
high59 FPS
ultra43 FPS
1440P
low60 FPS
medium54 FPS
high53 FPS
ultra40 FPS
4K
low52 FPS
medium48 FPS
high45 FPS
ultra34 FPS

Performance Report

Honkai: Star Rail

GeForce RTX 4090 + EPYC 7F52
🎮Visual Experience

At 1080p, frame rates range from 43 to 62 FPS depending on quality settings. At 1440p, frame rates range from 40 to 60 FPS. At 4K, frame rates range from 34 to 52 FPS.

Official Requirements

The GeForce RTX 4090 is 279% above the recommended GPU (GeForce GTX 1060) for Honkai: Star Rail. The EPYC 7F52 is 92% above the recommended CPU (Core i7).

⚙️Bottleneck Analysis

The EPYC 7F52 determines the performance ceiling at all 1080p settings, all 1440p settings, all 4k settings, while the GPU has headroom.

💰Value Analysis

Approximated average price on current market:

GeForce RTX 4090:$1649(updated 2/6/2026)
Official Launch Price: $1599
EPYC 7F52:$1826(updated 2/11/2026)
Official Launch Price: $3100

Combo price: $3475. At 1080p Ultra, this combo delivers 43 FPS, equivalent to 0.01 FPS per dollar.

ResolutionLowMediumHighUltra
1080p0.018 fps/$0.017 fps/$0.017 fps/$0.012 fps/$
1440p0.017 fps/$0.016 fps/$0.015 fps/$0.012 fps/$
4k0.015 fps/$0.014 fps/$0.013 fps/$0.010 fps/$

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

Performance Limiter Analysis

EPYC 7F52|GeForce RTX 4090
📈Analysis

At 4k medium, the EPYC 7F52 sets the ceiling at about 48 FPS, while the GeForce RTX 4090 could reach 131 FPS. In this scenario, the CPU limits the GPU potential by 63% (FPS gap: 83 FPS). Overall distribution: CPU limits 12/12 cells, GPU limits 0/12, balanced 0/12.

Verdict

CPU Limits GPU

Your EPYC 7F52 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 50%
MediumCPU Limits GPU 53%
HighCPU Limits GPU 46%
UltraCPU Limits GPU 61%
1440p (2K QHD)
LowCPU Limits GPU 50%
MediumCPU Limits GPU 55%
HighCPU Limits GPU 49%
UltraCPU Limits GPU 60%
4K (Ultra HD)
LowCPU Limits GPU 61%
MediumCPU Limits GPU 63%
HighCPU Limits GPU 57%
UltraCPU Limits GPU 62%
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 EPYC 7F52 and GeForce RTX 4090

1080p (Full HD)

Low
CPU7% - 25%
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GPU35% - 58%
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Medium
CPU10% - 26%
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GPU35% - 56%
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High
CPU10% - 26%
<>
GPU35% - 56%
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Ultra
CPU11% - 26%
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GPU32% - 49%
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1440p (2K QHD)

Low
CPU7% - 25%
<>
GPU40% - 60%
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Medium
CPU11% - 27%
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GPU40% - 57%
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High
CPU11% - 27%
<>
GPU40% - 57%
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Ultra
CPU12% - 26%
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GPU36% - 50%
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4K (Ultra HD)

Low
CPU7% - 25%
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GPU48% - 66%
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Medium
CPU11% - 27%
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GPU48% - 64%
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High
CPU11% - 27%
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GPU48% - 64%
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Ultra
CPU12% - 27%
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GPU46% - 64%
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Performance Summary

The EPYC 7F52 + GeForce RTX 4090 pairing runs this title with CPU utilization between 7% and 27% and GPU utilization between 32% and 66%. EPYC 7F52 keeps significant headroom across presets, while GeForce RTX 4090 is utilized efficiently without persistent saturation. As resolution scales, average GPU load rises from 45% at 1080p to 56% at 4K, while CPU averages move from 18% to 19%.

Bottleneck Analysis

The utilization pattern is relatively balanced. The GeForce RTX 4090 reaches 57% average at its highest-load preset, while the EPYC 7F52 peaks at 20% average, with no single component consistently acting as a hard bottleneck.

Resolution Scaling

At 1080p, averages sit around CPU 18% and GPU 45%. At 1440p, that shifts to CPU 18% and GPU 47%, and at 4K it reaches CPU 19% and GPU 56%. This shows that GPU demand scales sharply with resolution while CPU load remains comparatively stable.

Optimal Settings Recommendation

4K (Ultra HD) Low is the most balanced preset based on this dataset. It runs around CPU 16% (7-25%) and GPU 57% (48-66%), which keeps GeForce RTX 4090 well utilized without constant max-out behavior while EPYC 7F52 remains stable for consistent frame delivery.

Upgrade Insight

Current utilization does not show an urgent upgrade requirement for either component; the EPYC 7F52 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.

Honkai: Star Rail 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 - EPYC 7F52
cpu icon
41,388
Your Score
MinimumCore i3
RecommendedCore i7
GPU - GeForce RTX 4090
gpu icon
38,112
Your Score
MinimumGeForce GTX 650
RecommendedGeForce GTX 1060

Your CPU is 92% above and your GPU is 279% above the recommended specs. Ultra settings at 1080p, or High at 1440p/4K.

CPU

+92%vsrecommended

GPU

+279%vsrecommended

CPU

+213%vsminimum

GPU

+2070%vsminimum

Minimum Requirements
Video Card: GeForce GTX 650
Processor: Core i3
Memory: 6 GB
Disk Space: 20 GB
System: Windows 10 64-bit
Recommended Requirements
Video Card: GeForce GTX 1060
Processor: Core i7
Memory: 8 GB
Disk Space: 20 GB
System: Windows 10 64-bit

Frequently Asked Questions

1Can the EPYC 7F52 and GeForce RTX 4090 run Honkai: Star Rail well?

The EPYC 7F52 and GeForce RTX 4090 will struggle to run Honkai: Star Rail at smooth framerates. At 1080p Ultra, you can expect around 43 FPS which is classified as "playable". Consider lowering settings or upgrading your hardware.

2Is there a more cost-effective setup to run Honkai: Star Rail?

This CPU + GPU combo costs approximately $3475 ($1826 CPU (Rank #441 Value) + $1649 GPU (Rank #77 Value)). Your EPYC 7F52 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 processor with a significantly better value rating. For example, the EPYC 4585PX is a great upgrade option for around $699 (Rank #66 for value) while costing less than your current CPU.

3Which component should I upgrade first to improve Honkai: Star Rail performance?

Your EPYC 7F52 is already an incredibly powerful processor. While it's technically the first component to hit its limit (which is completely normal in state-of-the-art builds), there is no meaningful upgrade path that would drastically improve your Honkai: Star Rail performance right now. CPU fully utilized at: 1080p low, 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 Honkai: Star Rail?

Honkai: Star Rail 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 Honkai: Star Rail?

Honkai: Star Rail requires at minimum a Core i3 (CPU) and GeForce GTX 650 (GPU) with 6 GB RAM and 20 GB storage. For the recommended experience, you need a Core i7 and GeForce GTX 1060 with 8 GB RAM. Your EPYC 7F52 and GeForce RTX 4090 both exceed the recommended specs, so you're well-positioned for a great experience.

6How accurate are these Honkai: Star Rail FPS estimates for the EPYC 7F52 and GeForce RTX 4090?

These Honkai: Star Rail 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.