Comments (1)
@Edward-Lin can you share more details about the hardware you are using to run your test? What kind of performance were you expecting to get on this platform with such model? If possible please try the latest OpenVINO 2024.2 version and make sure you have the latest graphics driver as well, and see if that helps improve things on your side.
Performance may vary and depends on the platform used, I suggest to look at Performance Benchmarks to get perf insights for a selection of Large Language Models running on an Intel® Core™ Ultra 7-165H based system. Hope this helps.
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Related Issues (20)
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- Convert.py breaks for microsoft/trocr-base-printed HOT 3
- Migrate to optimum-cli from llm_bench usage
- Requesting help to understand how TTFT is calculated. Is there any documentation? HOT 3
- MPT-30B met benchmarking issue HOT 1
- ChatGLM3 output token size is not generated as expected HOT 6
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- FullyConnected nodes use slow reference kernel on ARM HOT 18
- some regression for benchmark on stable diffusion v1.5 HOT 3
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- chatglm output results are repeating with basic prompts HOT 8
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