MLPerf™ Inference Benchmark Suite

MLPerf Inference is a benchmark suite for measuring how fast systems can run models in a variety of deployment scenarios.

Please see the MLPerf Inference benchmark paper for a detailed description of the benchmarks along with the motivation and guiding principles behind the benchmark suite. If you use any part of this benchmark (e.g., reference implementations, submissions, etc.), please cite the following:

@misc{reddi2019mlperf,
    title={MLPerf Inference Benchmark},
    author={Vijay Janapa Reddi and Christine Cheng and David Kanter and Peter Mattson and Guenther Schmuelling and Carole-Jean Wu and Brian Anderson and Maximilien Breughe and Mark Charlebois and William Chou and Ramesh Chukka and Cody Coleman and Sam Davis and Pan Deng and Greg Diamos and Jared Duke and Dave Fick and J. Scott Gardner and Itay Hubara and Sachin Idgunji and Thomas B. Jablin and Jeff Jiao and Tom St. John and Pankaj Kanwar and David Lee and Jeffery Liao and Anton Lokhmotov and Francisco Massa and Peng Meng and Paulius Micikevicius and Colin Osborne and Gennady Pekhimenko and Arun Tejusve Raghunath Rajan and Dilip Sequeira and Ashish Sirasao and Fei Sun and Hanlin Tang and Michael Thomson and Frank Wei and Ephrem Wu and Lingjie Xu and Koichi Yamada and Bing Yu and George Yuan and Aaron Zhong and Peizhao Zhang and Yuchen Zhou},
    year={2019},
    eprint={1911.02549},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

MLPerf Inference v2.0 (submission 02/25/2022)

Use the r2.0 branch (git checkout r2.0) if you want to submit or reproduce v2.0 results.

See the individual Readme files in the reference app for details.

model reference app framework dataset

resnet50-v1.5 vision/classification_and_detection tensorflow, pytorch, onnx imagenet2012

ssd-mobilenet 300x300 vision/classification_and_detection tensorflow, pytorch, onnx coco resized to 300x300

ssd-resnet34 1200x1200 vision/classification_and_detection tensorflow, pytorch, onnx coco resized to 1200x1200

bert language/bert tensorflow, pytorch, onnx squad-1.1

dlrm recommendation/dlrm pytorch, tensorflow(?), onnx(?) Criteo Terabyte

3d-unet vision/medical_imaging/3d-unet-kits19 pytorch, tensorflow, onnx KiTS19

rnnt speech_recognition/rnnt pytorch OpenSLR LibriSpeech Corpus

MLPerf Inference v1.1 (submission 08/13/2021)

Use the r1.1 branch (git checkout r1.1) if you want to submit or reproduce v1.1 results.

See the individual Readme files in the reference app for details.

model reference app framework dataset

resnet50-v1.5 vision/classification_and_detection tensorflow, pytorch, onnx imagenet2012

ssd-mobilenet 300x300 vision/classification_and_detection tensorflow, pytorch, onnx coco resized to 300x300

ssd-resnet34 1200x1200 vision/classification_and_detection tensorflow, pytorch, onnx coco resized to 1200x1200

bert language/bert tensorflow, pytorch, onnx squad-1.1

dlrm recommendation/dlrm pytorch, tensorflow(?), onnx(?) Criteo Terabyte

3d-unet vision/medical_imaging/3d-unet pytorch, tensorflow(?), onnx(?) BraTS 2019

rnnt speech_recognition/rnnt pytorch OpenSLR LibriSpeech Corpus

MLPerf Inference v1.0 (submission 03/19/2021)

Use the r1.0 branch (git checkout r1.0) if you want to submit or reproduce v1.0 results.

See the individual Readme files in the reference app for details.

model reference app framework dataset

resnet50-v1.5 vision/classification_and_detection tensorflow, pytorch, onnx imagenet2012

ssd-mobilenet 300x300 vision/classification_and_detection tensorflow, pytorch, onnx coco resized to 300x300

ssd-resnet34 1200x1200 vision/classification_and_detection tensorflow, pytorch, onnx coco resized to 1200x1200

bert language/bert tensorflow, pytorch, onnx squad-1.1

dlrm recommendation/dlrm pytorch, tensorflow(?), onnx(?) Criteo Terabyte

3d-unet vision/medical_imaging/3d-unet pytorch, tensorflow(?), onnx(?) BraTS 2019

rnnt speech_recognition/rnnt pytorch OpenSLR LibriSpeech Corpus

MLPerf Inference v0.7 (submission 9/18/2020)

Use the r0.7 branch (git checkout r0.7) if you want to submit or reproduce v0.7 results.

See the individual Readme files in the reference app for details.

model reference app framework dataset

resnet50-v1.5 vision/classification_and_detection tensorflow, pytorch, onnx imagenet2012

ssd-mobilenet 300x300 vision/classification_and_detection tensorflow, pytorch, onnx coco resized to 300x300

ssd-resnet34 1200x1200 vision/classification_and_detection tensorflow, pytorch, onnx coco resized to 1200x1200

bert language/bert tensorflow, pytorch, onnx squad-1.1

dlrm recommendation/dlrm pytorch, tensorflow(?), onnx(?) Criteo Terabyte

3d-unet vision/medical_imaging/3d-unet pytorch, tensorflow(?), onnx(?) BraTS 2019

rnnt speech_recognition/rnnt pytorch OpenSLR LibriSpeech Corpus

MLPerf Inference v0.5

Use the r0.5 branch (git checkout r0.5) if you want to reproduce v0.5 results.

See the individual Readme files in the reference app for details.

model reference app framework dataset

resnet50-v1.5 v0.5/classification_and_detection tensorflow, pytorch, onnx imagenet2012

mobilenet-v1 v0.5/classification_and_detection tensorflow, pytorch, onnx imagenet2012

ssd-mobilenet 300x300 v0.5/classification_and_detection tensorflow, pytorch, onnx coco resized to 300x300

ssd-resnet34 1200x1200 v0.5/classification_and_detection tensorflow, pytorch, onnx coco resized to 1200x1200

gnmt v0.5/translation/gnmt/ tensorflow, pytorch See Readme