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Please download summary.xlsx to view the most recent results.

[2025-01-17 23:08:49,198 submission_checker.py:3183 INFO] Results=1, NoResults=0, Power Results=0
[2025-01-17 23:08:49,198 submission_checker.py:3190 INFO] ---
[2025-01-17 23:08:49,198 submission_checker.py:3191 INFO] Closed Results=1, Closed Power Results=0

[2025-01-17 23:08:49,198 submission_checker.py:3196 INFO] Open Results=0, Open Power Results=0

[2025-01-17 23:08:49,198 submission_checker.py:3201 INFO] Network Results=0, Network Power Results=0

[2025-01-17 23:08:49,198 submission_checker.py:3206 INFO] ---
[2025-01-17 23:08:49,198 submission_checker.py:3208 INFO] Systems=1, Power Systems=0
[2025-01-17 23:08:49,198 submission_checker.py:3212 INFO] Closed Systems=1, Closed Power Systems=0
[2025-01-17 23:08:49,198 submission_checker.py:3217 INFO] Open Systems=0, Open Power Systems=0
[2025-01-17 23:08:49,198 submission_checker.py:3222 INFO] Network Systems=0, Network Power Systems=0
[2025-01-17 23:08:49,198 submission_checker.py:3227 INFO] ---
[2025-01-17 23:08:49,198 submission_checker.py:3232 INFO] SUMMARY: submission looks OK
INFO:root:       ! call "postprocess" from /home/runner/CM/repos/mlcommons@mlperf-automations/script/run-mlperf-inference-submission-checker/customize.py

Organization Availability Division SystemType SystemName Platform Model MlperfModel Scenario Result Accuracy number_of_nodes host_processor_model_name host_processors_per_node host_processor_core_count accelerator_model_name accelerators_per_node Location framework operating_system notes compliance errors version inferred has_power Units weight_data_types
0 MLCommons available closed datacenter 5234c0b61ae3 mlc-server-reference-gpu-pytorch_v2.4.0-cu124 rgat rgat Offline 282.683 acc: 72.838 1 Intel(R) Xeon(R) Platinum 8480+ 2 56 NVIDIA H100 80GB HBM3 8 closed/MLCommons/results/mlc-server-reference-gpu-pytorch_v2.4.0-cu124/rgat/offline pytorch v2.4.0 Ubuntu 22.04 (linux-5.15.0-113-generic-glibc2.35) nan 1 0 v5.0 0 False Samples/s fp32

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