Identify and distinguish between CPU and GPU limitations by analyzing performance metrics under various workloads.
Identify and distinguish between CPU and GPU limitations by analyzing performance metrics under various workloads.
Identify the slowest part by analyzing performance metrics and observing where delays occur.
Check GPU utilization. At 90% or higher, it indicates a GPU bottleneck. If below 90%, likely a CPU bottleneck, though other factors like RAM or storage could also play a role, though less common.
I just want to further add to this. % usage on CPU is almost always irrelevant unless it's 100% due to how usage scales with amount of cores. Games rarely use all cores on modern CPUs so you would typically see less % usage on CPU the more cores you have, that does not mean you are not CPU bottlenecked. However at 100% CPU usage that would suggest you're most definitely CPU bound in that one specific case. Now regardless to "bottlenecking". There is always a bottleneck. The most important part is if you're happy with the performance you're getting because you will always just end up in a ever lasting loop of chasing more performance. If there was no bottleneck you would be getting infinite performance. You either hit your GPU/VRAM limit or CPU/RAM limit and based on the performance you're getting it's up to you to decide if that's good enough or not. Let's say you're at a 60% GPU usage which typically suggest quite a major CPU bottleneck but you're still getting comfortably stable 100FPS. Does it matter that you're CPU bottlenecked in this scenario? I'd say not at all as long as it's not in a competitive game like Valorant or CS2, etc...