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Question about bottlenecking

Mercuryaces

Let’s say I had a ryzen 2600 paired with a rtx 2080. If playing at 1080p, my cpu would likely be bottlenecking, would increasing the resolution provide better performance?

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Bottlenecking is a stupid word.

 

What framerate do you want to play at? If you play on a 60hz 1080p monitor it doesn't matter if you get 140 or 150fps, so "bottlenecking" is not a real issue.

But do you need a rtx 2080 to play with that monitor? no, a 1060 will do.

 

If you have the rtx 2080 i recommend an 1440p 144hz (or an 1440p ultrawide 120hz) monitor, it should be a perfect match.

 

But to answer your question: No, you wont get more fps, but you get better graphics, and therefore higher gpu usage.

I only see your reply if you @ me.

This reply/comment was generated by AI.

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No better fps, but better graphics quality because more pixels in a screen means more detailed image

CPU: i7-2600K 4751MHz 1.44V (software) --> 1.47V at the back of the socket Motherboard: Asrock Z77 Extreme4 (BCLK: 103.3MHz) CPU Cooler: Noctua NH-D15 RAM: Adata XPG 2x8GB DDR3 (XMP: 2133MHz 10-11-11-30 CR2, custom: 2203MHz 10-11-10-26 CR1 tRFC:230 tREFI:14000) GPU: Asus GTX 1070 Dual (Super Jetstream vbios, +70(2025-2088MHz)/+400(8.8Gbps)) SSD: Samsung 840 Pro 256GB (main boot drive), Transcend SSD370 128GB PSU: Seasonic X-660 80+ Gold Case: Antec P110 Silent, 5 intakes 1 exhaust Monitor: AOC G2460PF 1080p 144Hz (150Hz max w/ DP, 121Hz max w/ HDMI) TN panel Keyboard: Logitech G610 Orion (Cherry MX Blue) with SteelSeries Apex M260 keycaps Mouse: BenQ Zowie FK1

 

Model: HP Omen 17 17-an110ca CPU: i7-8750H (0.125V core & cache, 50mV SA undervolt) GPU: GTX 1060 6GB Mobile (+80/+450, 1650MHz~1750MHz 0.78V~0.85V) RAM: 8+8GB DDR4-2400 18-17-17-39 2T Storage: HP EX920 1TB PCIe x4 M.2 SSD + Crucial MX500 1TB 2.5" SATA SSD, 128GB Toshiba PCIe x2 M.2 SSD (KBG30ZMV128G) gone cooking externally, 1TB Seagate 7200RPM 2.5" HDD (ST1000LM049-2GH172) left outside Monitor: 1080p 126Hz IPS G-sync

 

Desktop benching:

Cinebench R15 Single thread:168 Multi-thread: 833 

SuperPi (v1.5 from Techpowerup, PI value output) 16K: 0.100s 1M: 8.255s 32M: 7m 45.93s

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