kurhula / inference

Reference implementations of inference benchmarks

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 master

The master of this repository contains work in progress for the next official release. This is currently v0.7. It provides the benchmarks below.

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_imageing/3d-unet	pytorch, tensorflow(?), onnx(?)	BraTS 2019
rnnt	speech_recognition/rnnt	pytorch	OpenSLR LibriSpeech Corpus

MLPerf Inference v0.5

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