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Tested systems
Quanta_Cloud_Technology

4 × Intel(R) Arc(TM) Pro B70

Tested system

Processor
Intel(R) Xeon(R) 6788P
Graphics
Intel(R) Arc(TM) Pro B70
Accelerator count
4
Nodes
1

Recorded results

Only the same benchmark, version, workload, scenario and unit share a row. Missing results are not zero. System results include the full submitted hardware and software configuration.

MLPerf Inference / llama3_1-8bOffline · v6.1 · Tokens/s

4 × Intel(R) Arc(TM) Pro B70

4,977.67* Tokens/s

Accuracy target / result
ROUGE1: 38.8427 ROUGE2: 16.0895 ROUGEL: 24.6432 ROUGELSUM: 35.9449 GEN_LEN: 8127665
Weight precision
INT8
Division
closed
System type
datacenter
Availability
available
Cores per processor
86
Processors per node
2
Nodes
1
Total accelerators
4
Software stack
PyTorch
Operating system
Ubuntu 25.10
MLPerf Inference / llama3_1-8bServer · v6.1 · Tokens/s

4 × Intel(R) Arc(TM) Pro B70

4,122.73* Tokens/s

Accuracy target / result
ROUGE1: 38.8436 ROUGE2: 16.0905 ROUGEL: 24.6447 ROUGELSUM: 35.9462 GEN_LEN: 8127418
Weight precision
INT8
Division
closed
System type
datacenter
Availability
available
Cores per processor
86
Processors per node
2
Nodes
1
Total accelerators
4
Software stack
PyTorch
Operating system
Ubuntu 25.10
MLPerf Inference / whisperOffline · v6.1 · Samples/s

4 × Intel(R) Arc(TM) Pro B70

5,401.23* Samples/s

Accuracy target / result
ACCURACY: 97.4509990485252
Weight precision
INT8
Division
closed
System type
datacenter
Availability
available
Cores per processor
86
Processors per node
2
Nodes
1
Total accelerators
4
Software stack
PyTorch
Operating system
Ubuntu 25.10

Processing & platform

Processor
Intel(R) Xeon(R) 6788P
Graphics
Intel(R) Arc(TM) Pro B70

Connectivity & software

Operating system
Ubuntu 25.10

System configuration

Reported host core count
86
Processors per node
2
Accelerator count
4
Nodes
1
Software stack
PyTorch
Submission division
closed

* Provisional data