Installation

$ npx skills add nvidia/omniperf --skill benchmark-isaaclab

Summary

Run Isaac Lab benchmark scripts and interpret their outputs.
Covers RL training throughput, non-RL environment step FPS, camera/load/startup benchmarks, batch suites, parameter gotchas, output files, and JSON result structure.
Use when the user asks to run or compare Isaac Lab benchmarks.
NOT for RL convergence or policy-quality validation, profiling capture (use profiling), trace analysis (use nsys-analyze), or applying performance fixes (use perf-tuning).

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 33

License LICENSE

Default branch main

Open issues 0

Status Archived

Package contents

Files included with this skill beyond the listing page.

skill md SKILL.md 4,793 B

docs SUMMARY.md 487 B

History

Jun 17, 2026 First seen on skills.sh

Sep 9, 2026 First recorded snapshot · 10 installs

SKILL.md

Isaac Lab Benchmarking

Parameter references may be outdated. Always verify with ./isaaclab.sh -p <script> --help.
For profiling details (Tracy, Nsight), see the profiling skill.
For installation, see the install-isaaclab skill.

Setup

See the install-isaaclab skill for installation (clone, conda env, Isaac Sim linking).

Before Running Any Benchmark

Use a WARM run for headline FPS/frametime — see the COLD/WARM/TRACY method in the profiling skill
Set CPU governor to performance — see perf-tuning skill
Do not patch Isaac Sim shutdown by default. If Tracy shutdown hangs after outputs are complete, use the scoped last-resort guidance in the profiling skill

Benchmark Scripts

All in scripts/benchmarks/. Run via ./isaaclab.sh -p scripts/benchmarks/<script>.py.

Script	What it measures	Key params
`benchmarknonrl.py`	Environment step FPS (most common)	`--task`, `--numenvs`, `--num``frames`
`benchmark_rlgames.py`	RL-Games training throughput	`--task`, `--numenvs`, `--max``iterations`
`benchmarkrslrl.py`	RSL-RL training throughput	`--task`, `--numenvs`, `--max``iterations`
`benchmark_cameras.py`	Camera system FPS + autotune	`--numtiledcameras`, `--numstandardcameras`, `--height`, `--width`, `--autotune`
`benchmarkloadrobot.py`	Robot loading time	`--numenvs`, `--robot {anymal``d,h1,g1}`
`benchmark_startup.py`	App startup time profiling	`--task` (required), `--numenvs`, `--top``n`
`benchmarklazyexport.py`	Lazy export/import speed	`--iterations`, `--tasks` (stdout only, no JSON backend)
`benchmarkviewcomparison.py`	XformPrimView vs PhysX	`--numenvs`, `--num``iterations`, `--profile` (stdout/cProfile, no JSON backend)
`benchmarkxformprim_view.py`	XformPrimView performance	`--numenvs`, `--num``iterations`, `--profile` (stdout/cProfile, no JSON backend)

Note: benchmarklazyexport.py, benchmarkviewcomparison.py, and benchmarkxformprim_view.py
do NOT support --benchmarkbackend or --outputpath. They output results to stdout.
Use --profile (where available) to save cProfile .prof files.

Common params: --device, --enablecameras, --benchmarkbackend, --output_path, --distributed

Note: --headless is deprecated. Omit --viz for headless mode, or use --viz none.

Passing Kit args (for profiling, output control, etc.):

./isaaclab.sh -p scripts/benchmarks/benchmark_non_rl.py \
    --task=Isaac-Ant-Direct-v0 --viz none --num_envs=4096 \
    --kit_args "--/app/profilerBackend=tracy --/log/file=/tmp/kit.log"

Batch suites

bash scripts/benchmarks/run_training_benchmarks.sh    # RSL-RL, 500 iters
bash scripts/benchmarks/run_non_rl_benchmarks.sh      # non-RL, various env counts
bash scripts/benchmarks/run_physx_benchmarks.sh        # PhysX assets

Critical Gotcha: Parameter Format

Isaac Lab uses UNDERSCORES (standard argparse). Isaac Sim uses HYPHENS.

Isaac Lab:  --num_envs 4096  --num_frames 100  --enable_cameras
Isaac Sim:  --num-cameras 8  --num-gpus 1      --num-frames 600

Mixing them up is a common source of silent misconfiguration.

Common Tasks and Env Counts

Camera tasks (add --enable_cameras):

Isaac-Cartpole-RGB-Camera-Direct-v0: 512-4096 envs

Classic physics (4096 / 8192 / 16384 envs):

Isaac-Ant-Direct-v0, Isaac-Cartpole-Direct-v0, Isaac-Humanoid-Direct-v0

Locomotion (4096 envs):

Isaac-Velocity-Rough-Anymal-C-v0, Isaac-Velocity-Rough-H1-v0, Isaac-Velocity-Rough-G1-v0

Manipulation (128-8192 envs):

Isaac-Reach-Franka-v0, Isaac-Factory-GearMesh-Direct-v0

Output Files

benchmark<type><task>_<timestamp>.json — main results file
kit.log — execution log (if --/log/file= is set via --kit_args)
.tracy / .nsys-rep — profiling traces (only with profiling args)

JSON structure

Array of phase objects, each with phasename, measurements (list of {name, data, type, unit}), and metadata (list of {name, data, type}). Phases: benchmarkinfo, startup, runtime, hardwareinfo, versioninfo. RL benchmarks add a train phase.

benchmark-isaaclab