GreedFall bottleneck calculator
Intel Core i3-10320 and NVIDIA RTX 4000 SFF Ada Generation
Popular combinations
Popular graphic card comparisons
Popular processor comparisons
GreedFall
6016 × 3384
1 monitor
1. Select game
Currently selected:
GreedFall
2. Select processor
Currently selected:
Intel Core i3-10320
3. Select graphic card
Currently selected:
NVIDIA RTX 4000 SFF Ada Generation
4. Select resolution
Currently selected:
6016 × 3384 resolution
(1 monitor)
Calculation result
Bottleneck percentage
In a system configuration featuring the Intel Core i3-10320 and NVIDIA RTX 4000 SFF Ada Generation, the NVIDIA RTX 4000 SFF Ada Generation could potentially act as a bottleneck to the Intel Core i3-10320 performance in the GreedFall with 6016 × 3384 and 1 monitor. While the Intel Core i3-10320 is well-equipped to manage strenuous computational tasks, the NVIDIA RTX 4000 SFF Ada Generation limited graphical prowess may compromise the overall system efficiency. This disparity could lead to decreased performance and less effective utilization of system resources. To rectify this imbalance, an upgrade to a more capable graphics card that complements the Intel Core i3-10320 processing abilities is advisable.
With a screen resolution of 6016 × 3384 and 1 monitor, this configuration demonstrates a 2.5% graphics card bottleneck when performing GreedFall.
Processor and graphic card utilizations
In a computing setup featuring the Intel Core i3-10320 and NVIDIA RTX 4000 SFF Ada Generation, under the context of GreedFall with a screen resolution of 6016 × 3384 and 1 monitor, the processor is expected to have an utilization rate of 73.4%, while the graphics card is projected to be utilized at 83.2%.
It's crucial to understand that these figures signify theoretical maximums based on typical CPU-to-GPU workload distribution ratios for certain tasks or gaming experiences. Achieving these high levels of utilization in real-world settings can be a challenging endeavor.
Playability
- Playable
- Frames per second
-
A game is considered "playable" if it can consistently run at 60 FPS on high settings. This ensures a smooth and visually appealing gaming experience free from lags or stutters.
Heatmap of bottleneck
During gameplay scenarios, your Intel Core i3-10320 might not operate at its full potential due to the constraints imposed by the NVIDIA RTX 4000 SFF Ada Generation. In such cases, the NVIDIA RTX 4000 SFF Ada Generation may struggle to swiftly process and relay data, resulting in underutilization of the Intel Core i3-10320. Therefore, the NVIDIA RTX 4000 SFF Ada Generation will be operating at its maximum capacity, leaving the Intel Core i3-10320 capabilities untapped.
In the hierarchy of bottlenecks, a graphics card bottleneck is often considered less severe than a processor bottleneck. When a graphics card bottleneck occurs, the NVIDIA RTX 4000 SFF Ada Generation operates at its uppermost limits, thereby allowing you to extract the best performance possible from the card. This ensures that you benefit from the full scope of the NVIDIA RTX 4000 SFF Ada Generation features.
One distinct advantage of not maxing out the Intel Core i3-10320 is the enhanced ability to efficiently manage other background tasks. As the Intel Core i3-10320 is not operating at full capacity while gaming, it can allocate computational resources to other ongoing activities like background processes or multitasking, without any performance trade-offs. This contributes to a smoother and more flexible overall system operation.
To gain a deeper understanding of these potential bottlenecks, consider referring to our heatmap. On the heatmap, the X-axis depicts the CPU Score, and the Y-axis signifies the GPU Score. This visualization can help identify the relationship between various CPUs and GPUs, giving you valuable insights into how to better balance your system.
By matching your Intel Core i3-10320 CPU Score with the NVIDIA RTX 4000 SFF Ada Generation GPU Score on the heatmap, you can more accurately assess how these components interact and pinpoint where bottlenecks may occur. Utilizing this heatmap analysis can guide you in making informed hardware decisions that lead to a more balanced and effective computing setup tailored to your specific needs.
General bottleneck calculations
The bottleneck calculations presented here are geared specifically towards in-game scenarios, providing valuable insights into how your hardware configuration could impact gaming performance. However, it's crucial to understand that bottlenecks can manifest in various types of tasks and applications. Below, you will find bottleneck calculations segmented into three primary categories: General Tasks, CPU Intensive Tasks, and GPU Intensive Tasks. This segmentation allows for a more nuanced understanding of how your system's components interact under different types of workloads.
General tasks bottleneck result
For general tasks that include web browsing, video streaming, office applications, and basic multitasking, the bottleneck result offers a comprehensive look at how well your CPU and GPU are balanced. If the bottleneck percentage leans heavily towards either the CPU or GPU, it might be beneficial to consider an upgrade for the more taxed component to ensure smoother system performance.
- Bottleneck percentage
- 14.7%
- Bottleneck reason
- Processor
- Playable
- Frames per second
-
Utilizations
- Processor average
- 83.12%
- Processor maximum
- 100%
- Graphic card average
- 64.11%
- Graphic card maximum
- 77.13%
CPU intensive tasks bottleneck result
When it comes to CPU intensive tasks, such as video editing, 3D rendering, or scientific computing, the bottleneck calculation primarily focuses on whether your processor is powerful enough to handle these workloads efficiently. Here, a high bottleneck percentage for the CPU would indicate that your processor is the limiting factor, making tasks slower than they could be with a more robust CPU.
- Bottleneck percentage
- 31.8%
- Bottleneck reason
- Processor
- Playable
- Frames per second
-
Utilizations
- Processor average
- 83.12%
- Processor maximum
- 100%
- Graphic card average
- 51.29%
- Graphic card maximum
- 61.71%
GPU intensive tasks bottleneck result
In scenarios involving GPU intensive tasks—like advanced gaming, graphical rendering, or video processing—the bottleneck calculation highlights the efficiency of your graphics card in relation to the overall system. A high bottleneck percentage on the GPU side would suggest that your graphics card is the limiting component, potentially hindering your system's ability to deliver optimal graphical performance.
- Bottleneck percentage
- 0%
- Playable
- Frames per second
-
Utilizations
- Processor average
- 83.12%
- Processor maximum
- 100%
- Graphic card average
- 80.14%
- Graphic card maximum
- 96.41%
Bottleneck solutions
Replace processor
If your graphic card is causing the bottleneck but you're considering replacing your processor, reconsider this approach. Unless your processor is already on the verge of becoming outdated, upgrading it might not offer a significant performance boost, particularly in graphics-heavy tasks.
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Impact of Changing Screen Resolution
Increasing the resolution in this scenario will only make the bottleneck worse, as the GPU will be under even more stress, leading to lower frame rates and reduced graphical quality. It won't significantly ease the load on the already underutilized processor.
Read moreReplace graphic cards
When the graphic card becomes a system bottleneck, upgrading it can provide a significant boost in performance. Opt for a card that better matches the capabilities of your processor to get a more balanced system. This will also enable you to run games and applications at higher settings, offering a vastly improved user experience.
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Impact of Changing Screen Resolution
If your graphics card is bottlenecking the system, lowering the screen resolution will allow the card to handle data more efficiently, resulting in higher frames per second. However, it's worth noting that lower resolutions will require less data processing from the CPU, which could create a new bottleneck there.
Read moreOffers for Intel Core i3-10320
Core i3-10320
| Product name | Merchant | Available | Price |
Merchant
Available
Price
|
|---|---|---|---|---|
|
4 new from 139.00 $. 2 used from 114.00 $. Last updated 1 hours ago. |
|
Yes | 139.99 $ |
Yes
|
Product pricing and availability information was updated as of the date and time listed, but is subject to change. If you choose to purchase a product from a retailer, the price and availability displayed on their website at the time of purchase will apply. We may earn a commission from qualifying purchases made through the links to participating retailers on this site. However, this does not impact the products or prices that are displayed or the order in which prices are listed.
Bottleneck calculator types
Select purpose bottleneck calculator
Before selecting a bottleneck calculator, consider your primary computing tasks. For general activities like web browsing and office work, the calculator evaluates the balance between your CPU and GPU. If you focus on CPU-intensive tasks like video editing or 3D rendering, the tool will highlight processor performance. For GPU-centric tasks such as gaming or graphical rendering, it will assess the efficiency of your graphics card. Choose the appropriate calculator to accurately identify potential system bottlenecks for your specific use-case.
Select game bottleneck calculator
By selecting a game from the list, the calculator will analyze potential bottlenecks specifically tailored to that game's system requirements and graphical demands. This allows you to optimize your setup for a smoother, more responsive gaming experience. Choose the game that aligns with your interests to get the relevant bottleneck analysis.