Benchmark #1163

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BORE vs SCX schedulers in Rocket League | kernel 6.14rc7

Rocket League | first two minutes of match replay | no additional workload | Ryzen 5700X | RTX 3060Ti | power profile balanced

Submitted 1 week ago by yubysowhat

Specifications
Label OS GPU CPU RAM OS specific
BORE CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 34 GB 6.14.0-rc7-3-cachyos-rc powersave
Bpfland CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 34 GB 6.14.0-rc7-3-cachyos-rc powersave
Flash CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 34 GB 6.14.0-rc7-3-cachyos-rc powersave
LAVD CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 34 GB 6.14.0-rc7-3-cachyos-rc powersave
p2dq CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 34 GB 6.14.0-rc7-3-cachyos-rc powersave
Rusty CachyOS NVIDIA GeForce RTX 3060 Ti AMD Ryzen 7 5700X 8-Core Processor 34 GB 6.14.0-rc7-3-cachyos-rc powersave
# Top runs: * **Highest FPS**: `Flash` with approximately 1% higher average FPS compared to others. * **Smoothest FPS**: `Rusty`, with a standard deviation that is roughly 8% lower, indicating smoother frametime and FPS stability. * **Best overall**: `Rusty` balances high average FPS with the smoothest performance profile among the runs, making it the best overall performer. # Issues: No significant issues were encountered in terms of FPS or frametime across the different runs. All were executed under the same hardware and software configurations, leaving only nuanced differences primarily in stability and slight variations in FPS. # Summary This benchmark compared the performance of different `SCX` schedulers in Rocket League using a consistent hardware setup on `CachyOS`. All runs used the same `Linux kernel` version and `powersave` scheduler, with no additional workload to skew results. The results show that while the performance in terms of FPS is relatively consistent across different schedulers, the `Rusty` scheduler provides the smoothest gaming experience due to its reduced frame time variability. Overall, this comparison highlights the subtle yet important distinctions in scheduler performance under controlled conditions.