inference/research
verifiedmedium · 0.75updated 2026-10-14

Argonne LLM-Inference-Bench: Intel Max 1550 x1, vLLM 0.5.2-XPU, Llama-3-8B FP16, 128in/128out, batch 64

2123.6 tok/s aggregate across 64 batched requests

Fields

id
benchmarks/argonne-max1550-vllm-llama3-8b-fp16-b64-128io-tps
Metric
tps_aggregate
Value
2,123.6
Unit
tok/s aggregate across 64 batched requests
Model
meta-llama/Meta-Llama-3-8B
Methodology
THIRD-PARTY MEASURED (Argonne LLM-Inference-Bench, arXiv:2411.00136, All_results.csv). FP16/BF16 weights, 128 in / 128 out. Throughput = batch*(in+out)/end-to-end latency = AGGREGATE over the batch, NOT per-request decode tok/s. Batch 64, 1x Max 1550. Latency 7.715s.
Measured by
third_party
Reproducible
yes

Cross-references