Code example
Text Generator (ONNX Runtime GenAI)
An on-device evaluation harness for Arm-optimized generative ONNX models.
Evaluation Conditions
Text Generation · AWS Graviton G4 · INT4 · MMLU (test)
| Metric | Resultsvs baseline | Change | |
|---|---|---|---|
| End to end latency p50 | 7396.66ms28908.57ms | −21511.92 ms | |
| End to end latency p90 |
7420.19ms29005.31ms |
| −21585.12 ms |
| End to end latency p99 | 7452.96ms29048.33ms | −21595.37 ms |
| Peak memory | 5293.18MB28893.62MB | −23600.44 MB |
| Average memory | 5278.41MB28893.00MB | −23614.59 MB |
| Time to first inference | 7443.72ms28306.96ms | −20863.24 ms |
| Tokens per second | 11.96tok/s2.67tok/s | +9.29 tok/s |
| Time to first token | 2377.25ms6443.16ms | −4065.91 ms |
| MMLU (5-shot) | 67.24%68.47% | −1.23% |
| Configuration | Baseline | Arm Optimized |
|---|---|---|
| Dataset | MMLU (test) | MMLU (test) |
| Sample count | 5,000 | 5,000 |
| Batch size | 1 | 1 |
The Optimized Model is provided as a reference implementation to demonstrate and evaluate execution and performance on Arm-based systems. It is not a production-ready or supported solution.
Arm’s publication of the Optimized Model does not constitute an endorsement or certification of the Original Model or a representation that the Optimized Model is suitable for production use or any particular purpose.
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You are responsible for independently evaluating the Optimized Model, its outputs and its suitability for your intended use, including compliance with applicable legal, regulatory, safety and security requirements.
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| Prompt length | 128 | 128 |
| Generation length | 60 | 60 |
| Runs | 50 | 50 |
| Warmup runs | 10 | 10 |