The neurobench framework for benchmarking neuromorphic computing algorithms and systems

Jason Yik (), Korneel Berghe, Douwe Blanken, Younes Bouhadjar, Maxime Fabre, Paul Hueber, Weijie Ke, Mina A. Khoei, Denis Kleyko, Noah Pacik-Nelson, Alessandro Pierro, Philipp Stratmann, Pao-Sheng Vincent Sun, Guangzhi Tang, Shenqi Wang, Biyan Zhou, Soikat Hasan Ahmed, George Vathakkattil Joseph, Benedetto Leto, Aurora Micheli, Anurag Kumar Mishra, Gregor Lenz, Tao Sun, Zergham Ahmed, Mahmoud Akl, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Petrut Bogdan, Sander Bohte, Sonia Buckley, Gert Cauwenberghs, Elisabetta Chicca, Federico Corradi, Guido Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Tobias Fischer, Jeremy Forest, Vittorio Fra, Steve Furber, P. Michael Furlong, William Gilpin, Aditya Gilra, Hector A. Gonzalez, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Shih-Chii Liu, Yao-Hong Liu, Haoyuan Ma, Rajit Manohar, Josep Maria Margarit-Taulé, Christian Mayr, Konstantinos Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Priyadarshini Panda, Jongkil Park, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens J. S. Schaefer, André Schaik, Johannes Schemmel, Samuel Schmidgall, Catherine Schuman, Jae-sun Seo, Sadique Sheik, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Matthew Stewart, Terrence C. Stewart, Jonathan Timcheck, Nergis Tömen, Gianvito Urgese, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Fatima Tuz Zohora, Charlotte Frenkel and Vijay Janapa Reddi
Additional contact information
Jason Yik: Harvard University
Korneel Berghe: Harvard University
Douwe Blanken: Delft University of Technology
Younes Bouhadjar: Forschungszentrum Jülich
Maxime Fabre: University of Groningen
Paul Hueber: Delft University of Technology
Weijie Ke: SynSense
Mina A. Khoei: SynSense
Denis Kleyko: Örebro University
Noah Pacik-Nelson: Accenture Labs
Alessandro Pierro: Intel Labs
Philipp Stratmann: Intel Labs
Pao-Sheng Vincent Sun: City University of Hong Kong
Guangzhi Tang: imec
Shenqi Wang: imec
Biyan Zhou: City University of Hong Kong
Soikat Hasan Ahmed: Forschungszentrum Jülich
George Vathakkattil Joseph: Innatera Nanosystems B.V.
Benedetto Leto: Politecnico di Torino
Aurora Micheli: Delft University of Technology
Anurag Kumar Mishra: Forschungszentrum Jülich
Gregor Lenz: NeuroBus
Tao Sun: Centrum Wiskunde & Informatica
Zergham Ahmed: Harvard University
Mahmoud Akl: SpiNNcloud Systems GmbH
Brian Anderson: Intel Labs
Andreas G. Andreou: Johns Hopkins University
Chiara Bartolozzi: Istituto Italiano di Tecnologia
Arindam Basu: City University of Hong Kong
Petrut Bogdan: Innatera Nanosystems B.V.
Sander Bohte: Centrum Wiskunde & Informatica
Sonia Buckley: National Institute of Standards and Technology
Gert Cauwenberghs: UCSD
Elisabetta Chicca: University of Groningen
Federico Corradi: Eindhoven University of Technology
Guido Croon: Delft University of Technology
Andreea Danielescu: Accenture Labs
Anurag Daram: UTSA
Mike Davies: Intel Labs
Yigit Demirag: University of Zurich
Jason Eshraghian: UCSC
Tobias Fischer: Queensland University of Technology
Jeremy Forest: Cornell University
Vittorio Fra: Politecnico di Torino
Steve Furber: University of Manchester
P. Michael Furlong: U Waterloo
William Gilpin: University of Texas at Austin
Aditya Gilra: Centrum Wiskunde & Informatica
Hector A. Gonzalez: SpiNNcloud Systems GmbH
Giacomo Indiveri: University of Zurich
Siddharth Joshi: University of Notre Dame
Vedant Karia: UTSA
Lyes Khacef: Sony Semiconductor Solutions Europe
James C. Knight: University of Sussex
Laura Kriener: University of Zurich
Rajkumar Kubendran: University of Pittsburgh
Dhireesha Kudithipudi: UTSA
Shih-Chii Liu: University of Zurich
Yao-Hong Liu: imec
Haoyuan Ma: CentraleSupélec
Rajit Manohar: Yale University
Josep Maria Margarit-Taulé: Instituto de Microelectrónica de Barcelona
Christian Mayr: Technische Universität Dresden
Konstantinos Michmizos: Rutgers University
Dylan R. Muir: SynSense
Emre Neftci: Forschungszentrum Jülich
Thomas Nowotny: University of Sussex
Fabrizio Ottati: Politecnico di Torino
Ayca Ozcelikkale: Uppsala University
Priyadarshini Panda: Yale University
Jongkil Park: Korea Institute of Science and Technology
Melika Payvand: University of Zurich
Christian Pehle: Heidelberg University
Mihai A. Petrovici: University of Bern
Christoph Posch: Prophesee
Alpha Renner: Forschungszentrum Jülich
Yulia Sandamirskaya: Intel Labs
Clemens J. S. Schaefer: University of Notre Dame
André Schaik: Western Sydney University
Johannes Schemmel: Heidelberg University
Samuel Schmidgall: Johns Hopkins University
Catherine Schuman: University of Tennessee
Jae-sun Seo: Cornell Tech
Sadique Sheik: SynSense
Sumit Bam Shrestha: Intel Labs
Manolis Sifalakis: imec
Amos Sironi: Prophesee
Kenneth Stewart: Forschungszentrum Jülich
Matthew Stewart: Harvard University
Terrence C. Stewart: National Research Council Canada
Jonathan Timcheck: Intel Labs
Nergis Tömen: Delft University of Technology
Gianvito Urgese: Politecnico di Torino
Marian Verhelst: imec
Craig M. Vineyard: Sandia National Laboratories
Bernhard Vogginger: Technische Universität Dresden
Amirreza Yousefzadeh: imec
Fatima Tuz Zohora: UTSA
Charlotte Frenkel: Delft University of Technology
Vijay Janapa Reddi: Harvard University

Nature Communications, 2025, vol. 16, issue 1, 1-24

Abstract: Abstract Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmarks, making it difficult to accurately measure technological advancements, compare performance with conventional methods, and identify promising future research directions. This article presents NeuroBench, a benchmark framework for neuromorphic algorithms and systems, which is collaboratively designed from an open community of researchers across industry and academia. NeuroBench introduces a common set of tools and systematic methodology for inclusive benchmark measurement, delivering an objective reference framework for quantifying neuromorphic approaches in both hardware-independent and hardware-dependent settings. For latest project updates, visit the project website ( neurobench.ai ).

Date: 2025
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DOI: 10.1038/s41467-025-56739-4

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