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Tested systems4 × Intel(R) Arc(TM) Pro B70
Tested system
- Processor
- Intel(R) Xeon(R) 698X
- 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 / gpt-oss-120bOffline · v6.1 · Tokens/s
4 × Intel(R) Arc(TM) Pro B70
1,956.40* Tokens/s
- Accuracy target / result
- exact_match: 83.674
- Weight precision
- MXFP4
- Division
- closed
- System type
- datacenter
- Availability
- available
- Cores per processor
- 86
- Processors per node
- 1
- Nodes
- 1
- Total accelerators
- 4
- Software stack
- PyTorch
- Operating system
- Ubuntu 24.04.4 LTS
MLPerf Inference / gpt-oss-120bServer · v6.1 · Tokens/s
4 × Intel(R) Arc(TM) Pro B70
1,296.87* Tokens/s
- Accuracy target / result
- exact_match: 83.489
- Weight precision
- MXFP4
- Division
- closed
- System type
- datacenter
- Availability
- available
- Cores per processor
- 86
- Processors per node
- 1
- Nodes
- 1
- Total accelerators
- 4
- Software stack
- PyTorch
- Operating system
- Ubuntu 24.04.4 LTS
MLPerf Inference / llama2-70b-99.9Offline · v6.1 · Tokens/s
4 × Intel(R) Arc(TM) Pro B70
2,464.98* Tokens/s
- Accuracy target / result
- ROUGE1: 44.5947 ROUGE2: 22.2074 ROUGEL: 28.8264 TOKENS_PER_SAMPLE: 290.8
- Weight precision
- INT8
- Division
- closed
- System type
- datacenter
- Availability
- available
- Cores per processor
- 86
- Processors per node
- 1
- Nodes
- 1
- Total accelerators
- 4
- Software stack
- PyTorch
- Operating system
- Ubuntu 24.04.4 LTS
MLPerf Inference / llama2-70b-99.9Server · v6.1 · Tokens/s
4 × Intel(R) Arc(TM) Pro B70
1,745.48* Tokens/s
- Accuracy target / result
- ROUGE1: 44.5937 ROUGE2: 22.2052 ROUGEL: 28.8276 TOKENS_PER_SAMPLE: 290.8
- Weight precision
- INT8
- Division
- closed
- System type
- datacenter
- Availability
- available
- Cores per processor
- 86
- Processors per node
- 1
- Nodes
- 1
- Total accelerators
- 4
- Software stack
- PyTorch
- Operating system
- Ubuntu 24.04.4 LTS
MLPerf Inference / llama3_1-8bOffline · v6.1 · Tokens/s
4 × Intel(R) Arc(TM) Pro B70
4,613.28* Tokens/s
- Accuracy target / result
- ROUGE1: 38.843 ROUGE2: 16.0878 ROUGEL: 24.6429 ROUGELSUM: 35.9449 GEN_LEN: 8127480
- Weight precision
- INT8
- Division
- closed
- System type
- datacenter
- Availability
- available
- Cores per processor
- 86
- Processors per node
- 1
- Nodes
- 1
- Total accelerators
- 4
- Software stack
- PyTorch
- Operating system
- Ubuntu 24.04.4 LTS
MLPerf Inference / llama3_1-8bServer · v6.1 · Tokens/s
4 × Intel(R) Arc(TM) Pro B70
4,173.25* Tokens/s
- Accuracy target / result
- ROUGE1: 38.8131 ROUGE2: 16.0827 ROUGEL: 24.6388 ROUGELSUM: 35.9153 GEN_LEN: 8126165
- Weight precision
- INT8
- Division
- closed
- System type
- datacenter
- Availability
- available
- Cores per processor
- 86
- Processors per node
- 1
- Nodes
- 1
- Total accelerators
- 4
- Software stack
- PyTorch
- Operating system
- Ubuntu 24.04.4 LTS
MLPerf Inference / whisperOffline · v6.1 · Samples/s
4 × Intel(R) Arc(TM) Pro B70
5,539.77* Samples/s
- Accuracy target / result
- ACCURACY: 97.45763518206644
- Weight precision
- INT8
- Division
- closed
- System type
- datacenter
- Availability
- available
- Cores per processor
- 86
- Processors per node
- 1
- Nodes
- 1
- Total accelerators
- 4
- Software stack
- PyTorch
- Operating system
- Ubuntu 24.04.4 LTS
Processing & platform
- Processor
- Intel(R) Xeon(R) 698X
- Graphics
- Intel(R) Arc(TM) Pro B70
Connectivity & software
- Operating system
- Ubuntu 24.04.4 LTS
System configuration
- Reported host core count
- 86
- Processors per node
- 1
- Accelerator count
- 4
- Nodes
- 1
- Software stack
- PyTorch
- Submission division
- closed
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* Provisional data