Please download summary.xlsx to view the most recent results.
[2025-02-13 05:10:05,398 submission_checker.py:3263 INFO] Results=45, NoResults=0, Power Results=0
[2025-02-13 05:10:05,398 submission_checker.py:3270 INFO] ---
[2025-02-13 05:10:05,398 submission_checker.py:3271 INFO] Closed Results=29, Closed Power Results=0
[2025-02-13 05:10:05,398 submission_checker.py:3276 INFO] Open Results=16, Open Power Results=0
[2025-02-13 05:10:05,398 submission_checker.py:3281 INFO] Network Results=0, Network Power Results=0
[2025-02-13 05:10:05,398 submission_checker.py:3286 INFO] ---
[2025-02-13 05:10:05,398 submission_checker.py:3288 INFO] Systems=5, Power Systems=0
[2025-02-13 05:10:05,398 submission_checker.py:3292 INFO] Closed Systems=3, Closed Power Systems=0
[2025-02-13 05:10:05,398 submission_checker.py:3297 INFO] Open Systems=4, Open Power Systems=0
[2025-02-13 05:10:05,398 submission_checker.py:3302 INFO] Network Systems=0, Network Power Systems=0
[2025-02-13 05:10:05,398 submission_checker.py:3307 INFO] ---
[2025-02-13 05:10:05,398 submission_checker.py:3312 INFO] SUMMARY: submission looks OK
[2025-02-13 05:10:06,456 module.py:5481 INFO] - ! call "postprocess" from /home/runner/MLC/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 | open | edge | gh_action | gh_action-reference-gpu-pytorch_v2.5.1-cu124 | stable-diffusion-xl | stable-diffusion-xl | Offline | 0.821368 | CLIP_SCORE: 31.219076683819296 FID_SCORE: 23.529169983809936 | 1 | Intel(R) Xeon(R) Platinum 8480+ | 2 | 56 | NVIDIA H100 80GB HBM3 | 8 | open/MLCommons/results/gh_action-reference-gpu-pytorch_v2.5.1-cu124/stable-diffusion-xl/offline | pytorch v2.5.1 | Ubuntu 22.04 (linux-5.15.0-113-generic-glibc2.35) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | fp32 |
1 | MLCommons | available | open | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | Server | 35342.5 | acc: 76.078 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/resnet50/server | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Queries/s | int8 |
2 | MLCommons | available | open | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | Offline | 44252.9 | acc: 76.078 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/resnet50/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
3 | MLCommons | available | open | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | SingleStream | 0.283089 | acc: 76.064 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/resnet50/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
4 | MLCommons | available | open | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | MultiStream | 0.498402 | acc: 76.064 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/resnet50/multistream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
5 | MLCommons | available | open | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | Server | 637.535 | mAP: 37.368 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/retinanet/server | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Queries/s | int8 |
6 | MLCommons | available | open | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | Offline | 871.582 | mAP: 37.336 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/retinanet/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
7 | MLCommons | available | open | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | SingleStream | 1.69486 | mAP: 37.321 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/retinanet/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
8 | MLCommons | available | open | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | MultiStream | 11.5954 | mAP: 37.348 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/retinanet/multistream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
9 | MLCommons | available | open | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | bert-99 | bert-99 | Offline | 3480.29 | F1: 90.15279313202916 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/bert-99/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
10 | MLCommons | available | open | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | bert-99 | bert-99 | SingleStream | 1.01303 | F1: 90.26682135974633 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | open/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/bert-99/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
11 | MLCommons | available | open | edge | 34127abc9663 | mlc-server-reference-gpu-pytorch_v2.2.2-cu124 | pointpainting | pointpainting | SingleStream | 1568.9 | mAP: 54.247453827643064 | 1 | Intel(R) Xeon(R) Platinum 8480+ | 2 | 56 | NVIDIA H100 80GB HBM3 | 8 | open/MLCommons/results/mlc-server-reference-gpu-pytorch_v2.2.2-cu124/pointpainting/singlestream | pytorch v2.2.2 | Ubuntu 22.04 (linux-5.15.0-113-generic-glibc2.35) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | fp32 |
12 | MLCommons | available | open | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | Server | 1414.96 | mAP: 37.321 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | open/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/retinanet/server | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Queries/s | int8 |
13 | MLCommons | available | open | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | Offline | 1733.84 | mAP: 37.328 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | open/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/retinanet/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
14 | MLCommons | available | open | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | SingleStream | 1.72839 | mAP: 37.286 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | open/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/retinanet/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
15 | MLCommons | available | open | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | MultiStream | 5.64586 | mAP: 37.323 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | open/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/retinanet/multistream | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
16 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | 3d-unet-99.9 | 3d-unet-99.9 | Offline | 4.1695 | DICE: 0.86236 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/3d-unet-99.9/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
17 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | 3d-unet-99.9 | 3d-unet-99.9 | SingleStream | 433.237 | DICE: 0.86236 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/3d-unet-99.9/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
18 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | Server | 35342.5 | acc: 76.078 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/resnet50/server | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Queries/s | int8 |
19 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | Offline | 44390.5 | acc: 76.078 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/resnet50/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
20 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | SingleStream | 0.282067 | acc: 76.064 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/resnet50/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
21 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | MultiStream | 0.453847 | acc: 76.064 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/resnet50/multistream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
22 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | bert-99.9 | bert-99.9 | Offline | 1671.64 | F1: 90.8832407068292 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/bert-99.9/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | fp16 |
23 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | bert-99.9 | bert-99.9 | SingleStream | 2.17059 | F1: 90.88109554940347 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | fp16 |
24 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | 3d-unet-99 | 3d-unet-99 | Offline | 4.1695 | DICE: 0.86236 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/3d-unet-99/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
25 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | 3d-unet-99 | 3d-unet-99 | SingleStream | 433.237 | DICE: 0.86236 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/3d-unet-99/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
26 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | bert-99 | bert-99 | Offline | 4128.85 | F1: 90.15279313202916 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/bert-99/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
27 | MLCommons | available | closed | datacenter,edge | RTX4090x1 | RTX4090x1-nvidia-gpu-TensorRT-default_config | bert-99 | bert-99 | SingleStream | 1.01086 | F1: 90.26682135974633 | 1 | AMD Ryzen 9 7950X 16-Core Processor | 1 | 16 | NVIDIA GeForce RTX 4090 | 1 | closed/MLCommons/results/RTX4090x1-nvidia-gpu-TensorRT-default_config/bert-99/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-51-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
28 | 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 |
29 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | 3d-unet-99.9 | 3d-unet-99.9 | Offline | 8.32038 | DICE: 0.86236 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/3d-unet-99.9/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
30 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | 3d-unet-99.9 | 3d-unet-99.9 | SingleStream | 430.905 | DICE: 0.86236 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/3d-unet-99.9/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
31 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | Server | 73725.3 | acc: 76.078 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/resnet50/server | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Queries/s | int8 |
32 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | Offline | 87960 | acc: 76.078 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/resnet50/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
33 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | SingleStream | 0.304853 | acc: 76.064 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/resnet50/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
34 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | resnet50 | resnet | MultiStream | 0.505097 | acc: 76.064 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/resnet50/multistream | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
35 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | Server | 1414.96 | mAP: 37.336 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/retinanet/server | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Queries/s | int8 |
36 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | Offline | 1734.74 | mAP: 37.356 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/retinanet/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
37 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | SingleStream | 1.72374 | mAP: 37.352 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/retinanet/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
38 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | retinanet | retinanet | MultiStream | 5.62582 | mAP: 37.330 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/retinanet/multistream | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
39 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | bert-99.9 | bert-99.9 | Offline | 3345.41 | F1: 90.8832407068292 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | fp16 |
40 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | bert-99.9 | bert-99.9 | SingleStream | 2.17878 | F1: 90.88109554940347 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99.9/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | fp16 |
41 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | 3d-unet-99 | 3d-unet-99 | Offline | 8.32038 | DICE: 0.86236 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/3d-unet-99/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | int8 |
42 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | 3d-unet-99 | 3d-unet-99 | SingleStream | 430.905 | DICE: 0.86236 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/3d-unet-99/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | int8 |
43 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | bert-99 | bert-99 | Offline | 3345.41 | F1: 90.8832407068292 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/offline | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Samples/s | fp16 |
44 | MLCommons | available | closed | datacenter,edge | RTX4090x2 | RTX4090x2-nvidia-gpu-TensorRT-default_config | bert-99 | bert-99 | SingleStream | 2.17878 | F1: 90.88109554940347 | 1 | Intel(R) Xeon(R) w7-2495X | 1 | 24 | NVIDIA GeForce RTX 4090 | 2 | closed/MLCommons/results/RTX4090x2-nvidia-gpu-TensorRT-default_config/bert-99/singlestream | TensorRT | Ubuntu 20.04 (linux-6.8.0-52-generic-glibc2.31) | nan | 1 | 0 | v5.0 | 0 | False | Latency (ms) | fp16 |