General Tasks bottleneck calculator
Intel Core i3-8130U and NVIDIA GeForce MX350
General Tasks
2560 × 1600
1 monitor
1. Select purpose
Currently selected:
![General Tasks image](/image/static/components-small/PC-Set-2.png)
General Tasks
2. Select processor
Currently selected:
Intel Core i3-8130U
3. Select graphic card
Currently selected:
NVIDIA GeForce MX350
4. Select resolution
Currently selected:
2560 × 1600 resolution
(1 monitor)
Calculation result
Bottleneck percentage
In a system configuration featuring the Intel Core i3-8130U and NVIDIA GeForce MX350, the NVIDIA GeForce MX350 could potentially act as a bottleneck to the Intel Core i3-8130U performance in the General Tasks with 2560 × 1600 and 1 monitor. While the Intel Core i3-8130U is well-equipped to manage strenuous computational tasks, the NVIDIA GeForce MX350 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 i3-8130U processing abilities is advisable.
![Gauge that shows 18% of bottleneck](https://images.pc-builds.com/chart/gauge/bottleneck-gauge-18-percent.png)
With a screen resolution of 2560 × 1600 and 1 monitor, this configuration demonstrates a 17.8% graphics card bottleneck when performing General Tasks.
Processor and graphic card utilizations
In a computing setup featuring the Intel Core i3-8130U and NVIDIA GeForce MX350, under the context of General Tasks with a screen resolution of 2560 × 1600 and 1 monitor, the processor is expected to have an utilization rate of 61.9%, while the graphics card is projected to be utilized at 83.1%.
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.
![Utilization chart of Intel Core i3-8130U and NVIDIA GeForce MX350 in General Tasks with 2560 × 1600 and 1 monitor](https://images.pc-builds.com/chart/bar/utilizations-purpose_1-general-tasks_2560x1600_0Q1-intel-core-i3-8130u_15E-nvidia-geforce-mx350.png)
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 i3-8130U might not operate at its full potential due to the constraints imposed by the NVIDIA GeForce MX350. In such cases, the NVIDIA GeForce MX350 may struggle to swiftly process and relay data, resulting in underutilization of the Intel Core i3-8130U. Therefore, the NVIDIA GeForce MX350 will be operating at its maximum capacity, leaving the Intel Core i3-8130U 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 GeForce MX350 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 GeForce MX350 features.
One distinct advantage of not maxing out the Intel Core i3-8130U is the enhanced ability to efficiently manage other background tasks. As the Intel Core i3-8130U 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.
![Bottleneck heatmap chart of crossing Intel Core i3-8130U score and NVIDIA GeForce MX350 score in General Tasks with 2560 × 1600 and 1 monitor](https://images.pc-builds.com/chart/heatmap/purpose-1-general-tasks_resolution-2560x1600_cpuScore-38934_gpuScore-26959.png)
By matching your Intel Core i3-8130U CPU Score with the NVIDIA GeForce MX350 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.
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.
- Intel Core i5-2450M Full details
- Intel Core i7-640M Full details
- AMD A10-7400P Full details
- Intel Core i5-2435M Full details
- Intel Core i5-3337U Full details
- Intel Celeron 6305 Full details
- Intel Atom x7-E3950 Full details
- Intel Pentium 4405U Full details
- Intel Core i5-4250U Full details
- AMD A8-7200P Full details
- Intel Core m3-6Y30 Full details
- Intel Pentium N4200 Full details
- Intel Core i5-4200U Full details
- Intel Core i7-940XM Full details
- Intel Core i3-5020U Full details
- AMD PRO A8-8600B Full details
- Intel Core i3-5010U Full details
- AMD PRO A10-8700B Full details
- Intel Core i5-8200Y Full details
- Intel Pentium 4415U Full details
- Intel Core i5-2520M Full details
- AMD A10-8700P Full details
- AMD A8-8600P Full details
- AMD A8-5550M Full details
- Intel Core i3-5015U Full details
- Intel Core i3-4030U Full details
- Intel Core i5-560M Full details
- Intel Core i3-3130M Full details
- Intel Core M-5Y10c Full details
- Intel Core M-5Y31 Full details
- Intel Core i7-2677M Full details
- Intel Core2 Quad Q9100 Full details
- AMD A10 PRO-7350B Full details
- AMD A10-4600M Full details
- Intel Core i5-2410M Full details
- Intel Atom x5-E3940 Full details
- Intel Core i7-840QM Full details
- Intel Core i7-920XM Full details
- Intel Core i5-580M Full details
- Intel Core i3-4025U Full details
- AMD FX-7500 Full details
- Intel Celeron N3450 Full details
- Intel Core i7-620M Full details
- AMD A10-5757M Full details
- Intel Core i5-2430M Full details
- Intel Core M-5Y51 Full details
- Intel Core i5-3317U Full details
- Intel Core M-5Y71 Full details
- Intel Core i3-5005U Full details
- AMD A10-5750M Full details
![Curve chart that shows processors that will fix bottleneck in bottleneck calculation of Intel Core i3-8130U and NVIDIA GeForce MX350 in General Tasks with 2560 × 1600 and 1 monitor](https://images.pc-builds.com/chart/curve/solutions-chart-purpose_1-general-tasks_2560x1600_0Q1-intel-core-i3-8130u_15E-nvidia-geforce-mx350_processor.png)
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.
- NVIDIA GeForce GTX 1650 Full details
- AMD Radeon Pro 5500M Full details
- NVIDIA Quadro T2000 (Max-Q Design) Full details
- NVIDIA Quadro M5000M Full details
- AMD Radeon 780M Full details
- NVIDIA Quadro T1000 Full details
- NVIDIA Quadro P3000 Full details
- NVIDIA Quadro T1000 (Max-Q Design) Full details
- NVIDIA RTX A500 Full details
- NVIDIA Quadro M4000M Full details
- NVIDIA GeForce GTX 1650 Ti (Max-Q Design) Full details
- NVIDIA GeForce GTX 1050 Ti Full details
- AMD Radeon 760M Full details
- NVIDIA GeForce MX570 A Full details
- AMD Radeon Pro 5300M Full details
- NVIDIA GeForce GTX 1650 (Max-Q Design) Full details
- NVIDIA GeForce GTX 970M Full details
- NVIDIA GeForce MX570 Full details
- NVIDIA GeForce GTX 1050 Ti (Max-Q Design) Full details
- AMD Radeon RX 5500M Full details
- NVIDIA Quadro M3000M Full details
- AMD Radeon R9 M295X Full details
- AMD Radeon R9 M395X Full details
- AMD Radeon R9 M395 Full details
- NVIDIA GeForce MX550 Full details
- NVIDIA Quadro M2200 Full details
- AMD Radeon RX 5300M Full details
- NVIDIA GeForce GTX 1050 Full details
- NVIDIA GeForce GTX 1050 (Max-Q Design) Full details
- NVIDIA GeForce GTX 680MX Full details
- NVIDIA GeForce GTX 880M Full details
- NVIDIA GeForce GTX 780M Full details
- AMD Radeon HD 8970M Full details
- NVIDIA GeForce GTX 965M Full details
- NVIDIA GeForce MX450 Full details
- NVIDIA GeForce GTX 775M Full details
- AMD Radeon R9 M390X Full details
- AMD Radeon HD 7970M Full details
- AMD Radeon 740M Full details
- NVIDIA Quadro M2000M Full details
- NVIDIA GeForce GTX 870M Full details
- NVIDIA GeForce GTX 960M Full details
- AMD Radeon HD8970M Full details
- AMD Radeon R9 M470X Full details
- NVIDIA Quadro M1200 Full details
- NVIDIA GeForce GTX 680M Full details
- NVIDIA GeForce GTX 960A Full details
- NVIDIA GeForce GTX 860M Full details
- NVIDIA Quadro M1000M Full details
- NVIDIA GeForce GTX 770M Full details
![Curve chart that shows graphic cards that will fix bottleneck in bottleneck calculation of Intel Core i3-8130U and NVIDIA GeForce MX350 in General Tasks with 2560 × 1600 and 1 monitor](https://images.pc-builds.com/chart/curve/solutions-chart-purpose_1-general-tasks_2560x1600_0Q1-intel-core-i3-8130u_15E-nvidia-geforce-mx350_graphic-card.png)
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 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.