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Report abuseReference implementations of MLPerf® inference benchmarks
Python 1
LLM quantization benchmarks on H200 MIG: accuracy (ARC, GSM8K, MMLU, HellaSwag) and throughput (tok/s, TTFT, TPOT) for AWQ, GPTQ, FP8, BF16, and NVFP4 variants. Done using vLLM v0.19.0
Deep learning models for gender and age prediction from periocular images, PeriGender, PeriAge, custom CNN architectures benchmarked against ResNet-18/34/50
Python
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