Network Transform benchmarks
Last updated
Last updated
Tests were conducted using NetLimiter as a neutral third-party tool to monitor bandwidth usage (both download and upload). The Unity Editors were verified at 0 KB/s before starting any test.
Tests are setup with 1 editor as a server and 1 editor as a client (made with ParrelSync). The stats shown are data accumulative for both Unity Editors.
All tests were performed in the exact same project.
Tests carried out with the following setup - Exact same used to move, rotate and scale objects - Network Systems own network transform added to all objects - Default Network Transform settings on all objects
All the tests include 100 NT’s in the scene. The only thing that is modified between tests is how many of them actually move (toggled ). This is to test different scenarios where there are also inactive Network Transforms. Moving NTs are constantly rotating, scaling & positioning.
FishNet: NTs were not spawning on the client until the SceneCondition observer check was removed from the Network Manager. This likely has no performance impact, but it hasn’t been confirmed.
PurrNet vs. FishNet → 49.00% lower usage
PurrNet vs. Mirror → 61.43% lower usage
PurrNet vs. NetCode → 72.56% lower usage
FishNet vs. Mirror → 24.83% lower usage
FishNet vs. NetCode → 46.38% lower usage
Mirror vs. NetCode → 24.96% lower usage
PurrNet
11.598 KB/s
11.598 KB/s
Mirror
30,356 KB/s
30,356 KB/s
FishNet
22,676 KB/s
22,676 KB/s
NetCode For GameObjects
40.434 KB/s
40.434 KB/s
The Network Transform is one of the most common components used with any networking solution. So if this is widely used across your project, knowing the performance of the Network Transform could be very important!
Keep in mind that every data-point was fluctuating with ~0.2 KB/s. The picture was taken when seen around the mid-point of fluctuation, but this leaves margin for small inaccuracy in comparison.
Download and Upload speed is the same, because both editors are represented. The server & the client. These numbers would differ if there was some faulty overhead on either side.
This is the average across all 5 tests. See the for data of the individual data points.
Keep in mind that specific components can hold different functionality across different systems, and it can range widely how they are handled behind the scenes. This means that the is likely a better indicator for the overall performance of the networking solution.
