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Tested systems
Supermicro

Intel(R) Xeon(R) 6787P

Tested system

Processor
Intel(R) Xeon(R) 6787P
Accelerator count
0
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

Intel(R) Xeon(R) 6787P

1,189.89* Tokens/s

Accuracy target / result
ROUGE1: 38.7008 ROUGE2: 15.8479 ROUGEL: 24.4355 ROUGELSUM: 35.7034 GEN_LEN: 8193707
Weight precision
INT8
Division
closed
System type
datacenter
Availability
available
Cores per processor
86
Processors per node
2
Nodes
1
Total accelerators
0
Software stack
PyTorch
Operating system
Ubuntu 24.04.3
MLPerf Inference / llama3_1-8bServer · v6.1 · Tokens/s

Intel(R) Xeon(R) 6787P

516.06* Tokens/s

Accuracy target / result
ROUGE1: 38.7059 ROUGE2: 15.8614 ROUGEL: 24.4785 ROUGELSUM: 35.726 GEN_LEN: 8175493
Weight precision
INT8
Division
closed
System type
datacenter
Availability
available
Cores per processor
86
Processors per node
2
Nodes
1
Total accelerators
0
Software stack
PyTorch
Operating system
Ubuntu 24.04.3
MLPerf Inference / rgatOffline · v6.1 · Samples/s

Intel(R) Xeon(R) 6787P

13,273.70* Samples/s

Accuracy target / result
acc: 72.520
Weight precision
INT8
Division
closed
System type
datacenter
Availability
available
Cores per processor
86
Processors per node
2
Nodes
1
Total accelerators
0
Software stack
PyTorch
Operating system
Ubuntu 24.04.3
MLPerf Inference / whisperOffline · v6.1 · Samples/s

Intel(R) Xeon(R) 6787P

1,477.40* Samples/s

Accuracy target / result
ACCURACY: 97.89045996917045
Weight precision
INT8
Division
closed
System type
datacenter
Availability
available
Cores per processor
86
Processors per node
2
Nodes
1
Total accelerators
0
Software stack
PyTorch
Operating system
Ubuntu 24.04.3

Processing & platform

Processor
Intel(R) Xeon(R) 6787P

Connectivity & software

Operating system
Ubuntu 24.04.3

System configuration

Reported host core count
86
Processors per node
2
Accelerator count
0
Nodes
1
Software stack
PyTorch
Submission division
closed

* Provisional data