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NVIDIA GeForce RTX 5060 Laptop GPU - VolumeShader_BM Result

This page holds the gpu volumeshader_bm result breakdown for NVIDIA GeForce RTX 5060 Laptop GPU. Review every preset that users tested plus the API they selected so you can compare each gpu test result before planning your own run.

Last update: April 16, 2026

Stats refresh each week

Preset & API table

Average FPS is the straight mean of every accepted submission for this combination. Test duration is reported in seconds to help identify short burn tests versus multi-minute soaks.

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GPU ModelPresetAvg FPSTest Duration (s)API Type
NVIDIA GeForce RTX 5060 Laptop GPUUltra Low228.0261.81webgpu
NVIDIA GeForce RTX 5060 Laptop GPULow199.5450.14webgl
NVIDIA GeForce RTX 5060 Laptop GPULow154.8385.12webgpu
NVIDIA GeForce RTX 5060 Laptop GPUReference(cznull github)100.4584.93webgl
NVIDIA GeForce RTX 5060 Laptop GPUBalanced80.4163.64webgpu
NVIDIA GeForce RTX 5060 Laptop GPUReference(cznull github)61.6358.36webgpu
NVIDIA GeForce RTX 5060 Laptop GPUHigh30.2671.13webgl
NVIDIA GeForce RTX 5060 Laptop GPUHigh24.7176.02webgpu
NVIDIA GeForce RTX 5060 Laptop GPUVery High18.6432.16webgl
NVIDIA GeForce RTX 5060 Laptop GPUVery High13.3265.05webgpu
NVIDIA GeForce RTX 5060 Laptop GPUExtreme11.8837.97webgl
NVIDIA GeForce RTX 5060 Laptop GPUExtreme6.32107.95webgpu
NVIDIA GeForce RTX 5060 Laptop GPUApex6.2533.59webgl
NVIDIA GeForce RTX 5060 Laptop GPUApex5.0868.58webgpu

Runs shown above are sourced from opt-in user submissions. Outliers caused by high system load or thermal throttling remain visible so you can spot variability.

Important context

Every figure above summarizes leaderboard submissions that community members voluntarily shared with the VolumeShader_BM project. We aggregate those opt-in runs by preset and API so you can see how other testers configured the exact workload shown on this page.

Treat the data as directional guidance, not a certification. Browsers share GPU time with creative apps, games, encoders, and background services, so FPS will shift with drivers, thermals, or multitasking load. Run controlled benchmarks on your own hardware whenever you need to validate a purchase or deployment plan.