Add MLPerf Power to benchmarking

contents/core/benchmarking/benchmarking.bib

@@ -86,7 +86,7 @@ @article{10.1145/3467017
 abstract = {After decades of incentivizing the isolation of hardware, software, and algorithm development, the catalysts for closer collaboration are changing the paradigm.},
 journal = {Commun. ACM},
 month = nov,
-pages = {58–65},
+pages = {58-65},
 numpages = {8}
 }
 
@@ -397,3 +397,10 @@ @misc{yik2023neurobench
  title = {{NeuroBench:} {Advancing} Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking},
  year = {2023},
 }
+
+@article{tschand2024mlperf,
+  title={MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from $\{$$\backslash$mu$\}$ Watts to MWatts for Sustainable AI},
+  author={Tschand, Arya and Rajan, Arun Tejusve Raghunath and Idgunji, Sachin and Ghosh, Anirban and Holleman, Jeremy and Kiraly, Csaba and Ambalkar, Pawan and Borkar, Ritika and Chukka, Ramesh and Cockrell, Trevor and others},
+  journal={arXiv preprint arXiv:2410.12032},
+  year={2024}
+}