MLPerf v6.1 Quanta 1-node-4x-BMG-B70: llama3.1-8b Server 4122.73 tok/s
4122.73 tok/s aggregate Server
Fields
id
benchmarks/mlperf-v6-1-quanta-4xarcb70-llama31-8b-server-tokensMetric
tps_aggregate
Value
4,122.73
Unit
tok/s aggregate Server
Model
Llama-3.1-8B
Methodology
MLPerf Inference v6.1 published result (Quanta 1-node-4x-BMG-B70, 4x Arc Pro B70; software: PyTorch). System-AGGREGATE output tokens/s for the named scenario, submitter-measured under MLCommons audit.
Measured by
vendor
Reproducible
yes
notes
ENGINE_ID NOTE: pinned to 'vllm' as the closest existing engine record; the submission's actual stack is named in this methodology string.
Notes
ENGINE_ID NOTE: pinned to 'vllm' as the closest existing engine record; the submission's actual stack is named in this methodology string.