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Jetson performance measurements

Measured performance

Bench Jetson: Orin Nano Super 8 GB devkit, JetPack 7.2.1, TensorRT 10.16.2.10 (FP16), MAXN SUPER with jetson_clocks pinning the clocks (the installer runs it at every boot). comma four over USB 3 from the Jetson's USB-A port, with its CPU as when driving. Measured 2026-09-28 and 29.

Model GPU time Frame on the comma, p50 / p99: v0.6.0 v0.7.0
Cinque Terre V3 (default), 766 MB 16.4 ms 28.9 / 30.7 ms 24.5 / 25.8 ms
BMRLNAP v6, 766 MB 15.7 ms 29.3 / 31.5 ms 24.2 / 25.6 ms
Lebowski, 1757 MB 29.1 ms 40.0 / 41.4 ms 37.0 / 38.6 ms
  • GPU time: the engine's time on the GPU a frame, from CUDA events; the same in both servers within 0.3%. Cinque Terre V2 takes BMRLNAP's 15.7 ms.
  • Frame on the comma: the big model's time a frame as the comma logs it (modelExecutionTime), parked, 120 to 180 s a run; the worst run's p50 and p99. The budget is 50 ms; Lebowski leaves the least margin.
  • v0.7.0: 3 of 13,304 frames over 50 ms, each the first after a model swap.
  • The v0.7.0 runs came after the bench Jetson's GPU started throttling on over-current following a power cycle (hardware, not Jetlink): 0.4 to 0.8 ms more GPU time on the 766 MB models, 3.1 ms on Lebowski (its frames then: 40.5 / 41.7 ms). So Lebowski's row is the Swift server's run from before that, on the earlier link protocol; Lebowski's transport is the same on both within 0.2 ms.
  • Sustained use at high temperatures is untested.

The servers side by side, on the same Jetson and the same engine files (BMRLNAP v6 unless named):

v0.6.0 (Python) v0.7.0 (Swift)
USB transport a frame, mean / p99 8.6 / 11.8 ms 2.1 / 4.5 ms
Reply to the comma 74 KB 8 KB
Staging the inputs a frame, mean 0.77 ms 0.47 ms
Server CPU while serving 2.0 to 2.4% of a core 1.0 to 1.4%
Free memory while Lebowski loads 2.8 to 3.5 GB 4.1 to 4.3 GB
Engine build, TensorRT's timing cache warm 36.9 s 36.0 s
  • v0.7.0 loads the engines v0.6.0 built, without a rebuild, and its outputs are the same bit for bit (64 frames with the hidden state fed back, on each of four models).
  • Transport: the round trip minus the server's own time, from scripts/bench_link.py on the comma, in 1,200-frame blocks. v0.6.0 left USB 3 link power management on; with it off, v0.6.0 measured 3.9 ms mean. v0.7.0 with it on measures 4.2 ms p50, against 2.0 off.
  • Building a model's engine took 168 to 179 s when TensorRT's timing cache had nothing for its layers, and 33 to 44 s when an earlier model had filled it (v0.6.0's builds; v0.7.0's take the same, above). A built engine loads in 1 to 3 s. After a power-on, the engine loaded last was ready in 27 s.

Mac numbers: Mac performance.


From the Jetlink documentation.

This is experimental software. You drive the car, follow the law, and carry all the risk. Read the safety page first.

zoom-zoom-zoom · by Zeph Leggett