Garry's Mod bottleneck calculator
Intel Celeron P4600 and NVIDIA GeForce 840A
Popular combinations
Popular graphic card comparisons
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Garry's Mod
1920 × 1080
1 monitor
1. Select game
Currently selected:
Garry's Mod
2. Select processor
Currently selected:
Intel Celeron P4600
3. Select graphic card
Currently selected:
NVIDIA GeForce 840A
4. Select resolution
Currently selected:
1920 × 1080 resolution
(1 monitor)
Calculation result
Bottleneck percentage
The Intel Celeron P4600 may serve as a bottleneck for the NVIDIA GeForce 840A in the Garry's Mod with 1920 × 1080 and 1 monitor. Although the NVIDIA GeForce 840A is engineered to manage heavy graphical tasks, the Intel Celeron P4600 might lack the processing power needed to fully unlock the NVIDIA GeForce 840A capabilities. This imbalance may inhibit the overall efficiency of your system, slowing down processing and possibly compromising graphical fidelity. For a more harmonious hardware setup, upgrading to a high-performing processor that can meet the demands of current software and games is advised.
In a configuration featuring the Intel Celeron P4600 and NVIDIA GeForce 840A, with a screen resolution of 1920 × 1080 and 1 monitor, the system experiences a 9.3% bottleneck for Garry's Mod.
Processor and graphic card utilizations
In a computing setup featuring the Intel Celeron P4600 and NVIDIA GeForce 840A, under the context of Garry's Mod with a screen resolution of 1920 × 1080 and 1 monitor, the processor is expected to have an utilization rate of 83%, while the graphics card is projected to be utilized at 68.3%.
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
In gaming scenarios, your NVIDIA GeForce 840A might not attain its full performance potential due to a lack of optimal utilization. This happens when the Intel Celeron P4600 fails to handle and transmit data to the NVIDIA GeForce 840A at an adequate speed. As a result, the Intel Celeron P4600 will be operating at its maximum capacity, while the NVIDIA GeForce 840A remains underutilized.
When it comes to bottlenecks, a processor bottleneck is generally viewed as more detrimental than a graphics card bottleneck. In cases of a processor bottleneck, the Intel Celeron P4600 capacity reaches its limits, which may adversely affect other applications running concurrently. This situation can result in diminished responsiveness and multi-tasking capabilities.
Moreover, due to the processor bottleneck, the system might not leverage the full performance capabilities of the NVIDIA GeForce 840A. Consequently, there could be restrictions in graphical rendering, frame rates, and the overall gaming experience.
To visualize these bottlenecks, consider examining our heatmap. On this heatmap, the X-axis represents the CPU Score, while the Y-axis denotes the GPU Score. A quick glance at this heatmap can offer invaluable insights into potential bottlenecks within various system configurations.
By correlating your Intel Celeron P4600 CPU Score and NVIDIA GeForce 840A GPU Score on the heatmap, you can acquire a more comprehensive understanding of how these components interact and where the bottlenecks might occur. Making well-informed hardware choices based on this heatmap analysis can lead to a more balanced and efficient computing setup for 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
- 2.5%
- Bottleneck reason
- Graphic card
- Playable
- Frames per second
-
Utilizations
- Processor average
- 72.96%
- Processor maximum
- 87.84%
- Graphic card average
- 83.06%
- Graphic card maximum
- 100%
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
- 0%
- Playable
- Frames per second
-
Utilizations
- Processor average
- 82.73%
- Processor maximum
- 100%
- Graphic card average
- 75.35%
- Graphic card maximum
- 91.08%
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
- 22%
- Bottleneck reason
- Graphic card
- Playable
- Frames per second
-
Utilizations
- Processor average
- 58.37%
- Processor maximum
- 70.27%
- Graphic card average
- 83.06%
- Graphic card maximum
- 100%
Bottleneck solutions
Replace processor
When the processor becomes the system's bottleneck, upgrading it is often the most straightforward way to improve performance. Opting for a faster processor with more cores and higher clock speeds can effectively minimize or even eliminate the bottleneck, making it easier for your graphics card to perform to its maximum capability.
- Intel Core i3-2350M Full details
- AMD A6-3410MX Full details
- Intel Core i3-2348M Full details
- AMD A6-9220 Full details
- Intel Core i3-4012Y Full details
- Intel Celeron 3855U Full details
- Intel Core i3-3227U Full details
- Intel Atom x7-Z8750 Full details
- AMD A6-3420M Full details
- AMD A4-5000 Full details
- AMD Phenom II N850 Full details
- Intel Core i5-460M Full details
- AMD Phenom II P940 Full details
- Intel Celeron 3865U Full details
- Intel Core i5-480M Full details
- Intel Atom x7-Z8700 Full details
- AMD Phenom II N870 Full details
- AMD A4-5050 Full details
- Intel Pentium 3550M Full details
- Intel Core2 Extreme X9000 Full details
- AMD A9-9420e Full details
- Intel Celeron 1005M Full details
- Intel Core2 Duo E8435 Full details
- Intel Core2 Extreme X7900 Full details
- Intel Celeron N3350 Full details
- Intel Core2 Duo E8135 Full details
- AMD A6-9200 Full details
- Intel Celeron 3215U Full details
- AMD E2-6110 Full details
- Intel Core i3-2312M Full details
- AMD PRO A4-4350B Full details
- Intel Pentium N3520 Full details
- Intel Core2 Duo P9700 Full details
- AMD E2-3800 Full details
- Intel Core i3-370M Full details
- AMD A8-7050 Full details
- AMD QC-4000 Full details
- AMD A6-5357M Full details
- Intel Core2 Extreme X9100 Full details
- Intel Celeron N3160 Full details
- Intel Pentium 3805U Full details
- Intel Core i7-640UM Full details
- Intel Core2 Duo T9900 Full details
- Intel Pentium N3530 Full details
- Intel Atom Z3795 Full details
- AMD A6-3400M Full details
- Intel Celeron N3150 Full details
- Intel Core i7-680UM Full details
- Intel Core i3-380M Full details
- Intel Core i5-430M Full details
Impact of Changing Screen Resolution
Interestingly, if you're facing a processor bottleneck, altering the screen resolution may have a counterintuitive impact. Elevating the screen resolution will primarily stress the graphics card, thereby reducing the proportion of work that the processor needs to do in certain tasks. This makes it less likely that the processor will max out, though it does not replace the benefits of a processor upgrade for a balanced system.
Read moreReplace graphic cards
If the processor is causing the bottleneck, replacing the graphic card isn't generally recommended unless you're also planning to upgrade the processor. Downgrading your graphics card to better match the processor might alleviate the bottleneck, but it often results in a decrease in overall system performance, especially in graphics-heavy tasks like gaming or 3D rendering.
- AMD Radeon R7 M370 Full details
- AMD Radeon HD 8790M Full details
- NVIDIA GeForce 930A Full details
- AMD Radeon R9 M375 Full details
- NVIDIA GeForce 930MX Full details
- NVIDIA GeForce GT 750M Full details
- Intel Iris Plus 640 Full details
- NVIDIA GeForce 940M Full details
- NVIDIA GeForce 830A Full details
- AMD Radeon R9 M265X Full details
- NVIDIA Quadro M500M Full details
- NVIDIA GeForce GPU Full details
- AMD Radeon R9 M270X Full details
- NVIDIA GeForce GT 650M Full details
- NVIDIA GeForce GT 745A Full details
- NVIDIA GeForce GTX 560M Full details
- NVIDIA GeForce GTX 460M Full details
- AMD Radeon R7 M260X Full details
- AMD Radeon HD 8750M Full details
- NVIDIA GeForce 830M Full details
- NVIDIA GeForce 930M Full details
- AMD Radeon HD 6700M Full details
- AMD Radeon HD 8600 Full details
- AMD Radeon Vega 3 Mobile Full details
- AMD Radeon HD 8850M Full details
- AMD Mobility Radeon HD 5870 Full details
- NVIDIA GeForce 920MX Full details
- NVIDIA GeForce 840M Full details
- NVIDIA GeForce GT 745M Full details
- AMD Radeon 610M Full details
- AMD Radeon R9 M275 Full details
- NVIDIA GeForce GT 645M Full details
- AMD Radeon HD 6750M Full details
- AMD Radeon HD 8700M Full details
- AMD Radeon HD 6770M Full details
- NVIDIA GeForce GT 640M Full details
- AMD Radeon HD 7690M Full details
- AMD Mobility Radeon HD 4850 Full details
- NVIDIA GeForce 920A Full details
- NVIDIA GeForce GT 730M Full details
- NVIDIA GeForce GT 445M Full details
- AMD Radeon HD 6800M Full details
- NVIDIA GeForce GT 740M Full details
- NVIDIA GeForce 825M Full details
- AMD Mobility Radeon HD 5000 Full details
- NVIDIA GeForce 730A Full details
- AMD Mobility Radeon HD 5850 Full details
- AMD Radeon HD 7730M Full details
- AMD Radeon HD 8730M Full details
- AMD FirePro M40003 Full details
Impact of Changing Screen Resolution
Increasing the screen resolution in this case will demand more from your graphics card and can make the processor's bottleneck less noticeable in some scenarios, but again, it won't entirely solve the underlying problem.
Read moreBottleneck 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.