ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.02328
  4. Cited By
MLPerf Mobile Inference Benchmark
v1v2v3v4 (latest)

MLPerf Mobile Inference Benchmark

Conference on Machine Learning and Systems (MLSys), 2020
3 December 2020
Vijay Janapa Reddi
David Kanter
Peter Mattson
Jared Duke
Thai Nguyen
Ramesh Chukka
Kenneth Shiring
Koan-Sin Tan
M. Charlebois
William Chou
Mostafa El-Khamy
Jungwook Hong
T. S. John
Cindy Trinh
Michael H. C. Buch
Mark Mazumder
Relja Markovic
Thomas Atta-fosu
Fatih Çakir
Masoud Charkhabi
Xiaodong Chen
Cheng-Ming Chiang
Dave Dexter
Terry Heo
Guenther Schmuelling
M. Shabani
D. Zika
ArXiv (abs)PDFHTML

Papers citing "MLPerf Mobile Inference Benchmark"

12 / 12 papers shown
MLPerf Automotive
MLPerf Automotive
Radoyeh Shojaei
Predrag Djurdjevic
Mostafa El-Khamy
James Goel
Kasper Mecklenburg
John Owens
Pınar Muyan-Özçelik
T. S. John
Jinho Suh
Arjun Suresh
VLM
197
0
0
31 Oct 2025
Low-Latency Neural Inference on an Edge Device for Real-Time Handwriting Recognition from EEG Signals
Low-Latency Neural Inference on an Edge Device for Real-Time Handwriting Recognition from EEG Signals
Ovishake Sen
Raghav Soni
Darpan Virmani
Akshar Parekh
Patrick Lehman
Sarthak Jena
Adithi Katikhaneni
Adam Khalifa
Baibhab Chatterjee
92
0
0
07 Oct 2025
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AIInternational Symposium on High-Performance Computer Architecture (HPCA), 2024
Arya Tschand
Arun Tejusve Raghunath Rajan
S. Idgunji
Anirban Ghosh
J. Holleman
...
Rowan Taubitz
Sean Zhan
Scott Wasson
David Kanter
Vijay Janapa Reddi
572
21
0
15 Oct 2024
Combining Cloud and Mobile Computing for Machine Learning
Combining Cloud and Mobile Computing for Machine Learning
Ruiqi Xu
Tianchi Zhang
322
1
0
20 Jan 2024
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO
  Guarantees via DNN Re-alignment
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantees via DNN Re-alignment
Jing Wu
Lin Wang
Qirui Jin
Fangming Liu
326
23
0
17 Dec 2023
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction,
  and Scoring across Edge Devices
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices
Xiaolong Tu
Anik Mallik
Dawei Chen
Kyungtae Han
Onur Altintas
Haoxin Wang
Jiang Xie
409
34
0
19 Oct 2023
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse
  Multi-DNN Workloads
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN WorkloadsMicro (MICRO), 2023
Hongxiang Fan
Stylianos I. Venieris
Alexandros Kouris
Nicholas D. Lane
259
15
0
17 Oct 2023
TpuGraphs: A Performance Prediction Dataset on Large Tensor
  Computational Graphs
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational GraphsNeural Information Processing Systems (NeurIPS), 2023
P. Phothilimthana
Sami Abu-El-Haija
Kaidi Cao
Bahare Fatemi
Mike Burrows
Charith Mendis
Bryan Perozzi
GNNAI4TS
478
29
0
25 Aug 2023
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative
  Inference
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative InferenceIEEE Transactions on Mobile Computing (IEEE TMC), 2023
Ziyang Zhang
Yang Zhao
Huan Li
Changyao Lin
Jie Liu
341
42
0
02 Jun 2023
The Framework Tax: Disparities Between Inference Efficiency in NLP
  Research and Deployment
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and DeploymentConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jared Fernandez
Jacob Kahn
Clara Na
Yonatan Bisk
Emma Strubell
FedML
360
18
0
13 Feb 2023
Reaching the Edge of the Edge: Image Analysis in Space
Reaching the Edge of the Edge: Image Analysis in Space
R. Bayer
Julian Priest
Pınar Tözün
393
9
0
12 Jan 2023
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for
  the Metaverse
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the MetaverseConference on Machine Learning and Systems (MLSys), 2022
Hyoukjun Kwon
Krishnakumar Nair
Jamin Seo
Jason Yik
D. Mohapatra
...
Ashish Sirasao
T. Krishna
Harshit Khaitan
Vikas Chandra
Vijay Janapa Reddi
266
50
0
16 Nov 2022
1
Page 1 of 1