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How to benchmark Qwen on Splash on an Apple Silicon Mac with Aa Agentperf Local

Run the pinned Splash recipe on an M3 or newer Mac and get a verified, reproducible result.

Who it is forA Mac owner with an M3 or newer chip on macOS 26.4 or later who wants to measure Splash performance.

The problemServing a large model on a Mac with a custom engine means pinning versions and model snapshots so results can be compared.

The outcomeA results directory for the Splash recipe, with the snapshot verified and the run using the exact output policy.

What you need first

  • uv installed (it fetches Python 3.12 if needed)
  • A model server you already run with an OpenAI-compatible API, or a framework the tool can start (llama.cpp, vLLM, SGLang, or Splash on Apple Silicon)
  • For full results, a server or device that can run a 65,536-token context at batch size 1
  • Docker only if you want live tool calling

Steps

  1. Install the Splash engine with brew install incoai/tap/splash
  2. Install the tool with uv tool install agentperf-local
  3. Run agentperf-local managed-run --profile-id qwen38-27b-splash-dflash --framework splash --output-dir results/qwen38-splash (inferred, check the README)
  4. Read summary.json in results/qwen38-splash

Prompt for your agent

Using the agentperf-local repo from ArtificialAnalysis, run `agentperf-local managed-run` with --profile-id qwen38-27b-splash-dflash and --framework splash, writing to results/<name>. Expect summary.json in that directory. Verify that the recipe ran the exact policy and that the KV cache was eight-bit before reporting numbers.

Caveat. The recipe needs an M3 or newer Mac on macOS 26.4 or later, so it will not run on other hardware.

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