Game Bottleneck Calculator

Intel Core i9-12900T and NVIDIA GeForce RTX 3080

Calculator result

The processor might become a bottleneck for the graphics card's performance. While the graphics card is capable of handling intensive graphical workloads, the processor's processing power may not be sufficient to fully utilize the graphics card's potential. This imbalance could restrict the system's overall performance, leading to slower processing and potentially reduced graphics quality. To achieve a more balanced setup, it would be advisable to consider upgrading to a more powerful processor that can keep up with the demands of modern applications and games.

Intel Core i9-12900T is too weak for NVIDIA GeForce RTX 3080 on 1920 × 1080 pixels screen resolution for Tomb Raider.

This configuration has 28.0% of processor bottleneck .

During gaming, your graphics card may not reach its maximum performance potential as it won't be fully utilized. This occurs when the processor is unable to process and deliver data to the graphics card at a fast enough rate. Consequently, the utilization of your processor will be at its maximum, while the graphics card's potential may not be fully utilized.

A processor bottleneck is considered worse than a graphics card bottleneck. With a processor bottleneck, the utilization of the processor reaches its maximum capacity, potentially causing other programs running in the background to suffer performance issues. This can lead to reduced responsiveness and efficiency in multitasking scenarios.

Additionally, due to the processor bottleneck, you may not experience the maximal performance capabilities that your graphics card offers. The graphics card's potential will not be fully realized, resulting in potential limitations in rendering graphics, frame rates, and overall gaming experience.

Solutions

To address this issue, you have two potential solutions. The first is to upgrade your processor, which can help alleviate the bottleneck and improve overall performance. Alternatively, you could consider downgrading your graphics card, although this may not be the most sensible approach as it can result in a decrease in performance and limit your gaming experience.

In most cases, it is recommended to retain your current graphics card rather than downgrading it. Downgrading the graphics card could lead to a noticeable drop in graphics quality and gaming performance. Instead, focusing on upgrading the processor can provide a more effective solution in overcoming the bottleneck and enhancing system performance.

Reducing the bottleneck by changing the screen resolution

If you encounter a processor bottleneck, raising the resolution of your display will significantly impact your graphics card, increasing its utilization. On the other hand, when facing a graphics card bottleneck, lowering the resolution will enable your graphics card to handle more data, resulting in higher frames per second.

It's important to note that higher frame rates will place a greater demand on your processor, as it needs to process and prepare more data for your graphics card. To alleviate this bottleneck, you can mitigate the impact by adjusting your screen resolution to one of the following options.

Selecting a lower resolution

This can help reduce the strain on your graphics card, allowing it to process data more efficiently and potentially achieve higher frame rates.

Choosing a higher resolution

While this may increase the load on your graphic card, it can help alleviate a potential processor bottleneck and provide a sharper and more visually immersive gaming experience.

Conclusion

By adjusting your screen resolution, you can optimize the balance between your processor and graphics card, ultimately enhancing overall system performance and achieving the desired gaming experience.

Component utilizations

While playing Tomb Raider game, processor Intel Core i9-12900T will be utilized 83.2% and graphic card NVIDIA GeForce RTX 3080 will be utilized 54.2% .

However, it's important to note that these numbers represent theoretical maximums based on processor and graphics card usage ratios for specific purposes or games, and in real-world scenarios, achieving such high utilizations may be challenging.

These utilization ratios are based on the concept of workload distribution between the GPU and CPU. Generally, in games, the graphics card bears a heavier load compared to the processor. This is because modern games heavily rely on graphics processing for rendering high-quality visuals and complex 3D environments. By maximizing the usage of the graphics card and maintaining a high percentage of CPU utilization, you can ensure smooth gameplay, impressive graphics, and seamless multitasking.

It's important to note that these utilization ratios are theoretical and may vary depending on the specific workload, software optimization, and other factors. Nonetheless, striving for such balanced utilization between the CPU and GPU can help achieve the best possible performance in various applications and gaming scenarios.

Utilization scenarios

Let's explore different scenarios where there are variations in component utilizations, which can indicate either a bottleneck or a specific dependency of a game or program on one component over the other:

Low CPU usage and low GPU usage
Utilization screenshot for low CPU usage and low GPU usage
Low CPU usage and low GPU usage

In a scenario where both the CPU and GPU exhibit low utilization, it indicates a relatively light workload that does not heavily tax the processing power of either component. When it comes to gaming, this could occur during less demanding games or in situations where the graphics settings are set to lower levels. The low utilization of both the CPU and GPU suggests that the system has ample resources available, which may result in smoother gameplay and the potential for the CPU to handle additional background tasks without causing performance issues.

Low CPU usage and maximum GPU usage
Utilization screenshot for low CPU usage and maximum GPU usage
Low CPU usage and max GPU usage

In contrast, when the CPU usage is minimal and the GPU usage reaches 100%, it suggests a situation where the workload is predominantly graphics-intensive. This indicates that the GPU is effectively utilized to its maximum potential, serving as the dominant component in handling the workload. The low CPU usage implies that the processor is not heavily involved in the specific task or program, potentially suggesting that it is less dependent on CPU processing power. However, it's important to note that this scenario could also indicate a GPU bottleneck in the system, where the graphics card is being pushed to its limits while the CPU has more capacity to spare.

High CPU usage and maximum GPU usage
Utilization screenshot for high CPU usage and maximum GPU usage
High CPU usage and max GPU usage

When the CPU usage is significantly high and the GPU usage reaches 100%, it suggests a situation where the workload heavily relies on the CPU for processing. While the CPU is operating at a high level, it is not necessarily at its maximum capacity, indicating that it still has some room to handle additional tasks. This scenario points towards a balanced system or a slight GPU bottleneck, where the graphics card is operating at its maximum potential while the CPU is handling the workload efficiently but not pushed to its limits.

Maximum CPU usage and low GPU usage
Utilization screenshot for maximum CPU usage and low GPU usage
Max CPU usage and low GPU usage

In a scenario where the CPU usage is at 100% and the GPU usage is very low, it implies a workload that is heavily dependent on CPU processing power but doesn't require extensive graphics processing. This could be the case for tasks such as heavy data computations or certain non-graphical applications. The low GPU usage suggests that the graphics card is not fully utilized in this particular workload, indicating a potential CPU bottleneck where the CPU is operating at its maximum capacity while the GPU is waiting for data from the CPU to process. This imbalance between the CPU and GPU utilization suggests that the system's performance may be constrained by the CPU's processing capabilities.

Maximum CPU usage and high GPU usage
Utilization screenshot for maximum CPU usage and high GPU usage
Max CPU usage and high GPU usage

When the CPU usage is at maximum capacity while the GPU usage remains very high, it suggests a workload that heavily relies on the computational power of the processor. The CPU is operating at its full potential, handling complex calculations and tasks. Meanwhile, the high GPU usage indicates that the graphics card is also contributing significantly to the workload, assisting in rendering graphics and providing visual enhancements. This scenario indicates a balanced system or a slight CPU bottleneck, where the CPU is operating at its limits while the GPU is efficiently handling the graphics-intensive aspects of the workload. The overall performance of the system may be constrained by the CPU's processing capabilities, but the GPU is making a substantial contribution to the workload.

Maximum CPU usage and maximum GPU usage
Utilization screenshot for maximum CPU usage and maximum GPU usage
Max CPU usage and max GPU usage

Lastly, in a scenario where both the CPU usage and GPU usage are at 100%, it suggests a workload that requires substantial computational power from both components. This balanced utilization indicates that the workload is evenly distributed between the CPU and GPU, with both components working at their full capacity. It's important to ensure that the system is adequately cooled and capable of handling the high utilization to prevent performance issues or overheating.

Conclusion

It's crucial to consider that a significant difference in component utilizations can indicate a potential bottleneck or simply reflect the nature of the workload, where certain games or programs are more reliant on one component than the other. Analyzing these utilization patterns can help identify system performance issues and optimize hardware configurations accordingly.

Offers for NVIDIA GeForce RTX 3080

Merchant location:
Product name Merchant Available Price
Merchant
Available
Price

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Help us calibrate this calculator!

Contribute to the calibration of our calculators by providing bottleneck and frames per second estimations. Your input will enable us to fine-tune our calculator, resulting in improved accuracy and allowing us to assist you in building a better PC tailored to your specific requirements.

Your configuration
Processor
Intel Core i9-12900T
Graphic card
NVIDIA GeForce RTX 3080
Resolution
1920 × 1080
Purpose / Game
Tomb Raider
Determining the level of Bottleneck

Choose the level of bottleneck you anticipate or have encountered with this configuration. Adjust the slider in the direction of the component you believe is causing the bottleneck.

Processor image
Graphic card image
Determining the utilizations

Select the level of component utilization you anticipate or have observed with this configuration. Adjust the slider on a scale of 0 to 100% in accordance with the utilization level you believe each component is experiencing.

CPU Utilization
Processor image
0% 100%
GPU Utilization
Graphic card image
0% 100%
Random-Access Memory Size
RAM Size
GB
RAM Utilization
Random-access memory image
0% 100%
Determining the Frames per Second (FPS)

Choose the anticipated or experienced number of frames per second (FPS) with this configuration.

Frames per second on low game settings
0 FPS 1000 FPS
Frames per second on medium game settings
0 FPS 1000 FPS
Frames per second on high game settings
0 FPS 1000 FPS
Frames per second on ultra game settings
0 FPS 1000 FPS

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Calculators

Processor image
Processor Processor image
Required
Graphic card Graphic card image
Required
Graphic card image
Purpose
Required
General Tasks

General Tasks

Processor Intense Tasks

Processor Intense Tasks

Graphic Card Intense Tasks

Graphic Card Intense Tasks

Gaming astronaut image
Video game
Required
Screen resolution Screen resolution image
Required
Screen resolution image