CPU Benchmarks

CPU Benchmarks: PassMark Software has delved into the millions of benchmark results that PerformanceTest users have posted to its web site and produced a comprehensive range of CPU charts to help compare the relative speeds of different processors from Intel, AMD, Apple, Qualcomm and others. Included in these lists are CPUs designed for servers and workstations (such as Intel Xeon and AMD EPYC processors), desktop CPUs (Intel Core Series and AMD Ryzen), in addition to ARM processors (Apple M1 and Qualcomm Snapdragon) and mobile CPUs.

References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
Sorted by year (citations)

  1. Accorsi, Luca; Lodi, Andrea; Vigo, Daniele: Guidelines for the computational testing of machine learning approaches to vehicle routing problems (2022)
  2. Marzo, Ruslán G.; Melo, Rafael A.; Ribeiro, Celso C.; Santos, Marcio C.: New formulations and branch-and-cut procedures for the longest induced path problem (2022)
  3. Arnold, Florian; Sörensen, Kenneth: A progressive filtering heuristic for the location-routing problem and variants (2021)
  4. Bianchessi, Nicola; Tresoldi, Emanuele: A stand-alone branch-and-price algorithm for identical parallel machine scheduling with conflicts (2021)
  5. Santos, Vinícius Gandra Martins; Carvalho, Marco Antonio Moreira de: Tailored heuristics in adaptive large neighborhood search applied to the cutwidth minimization problem (2021)
  6. Eng, KaiLun; Muhammed, Abdullah; Mohamed, Mohamad Afendee; Hasan, Sazlinah: A hybrid heuristic of variable neighbourhood descent and great deluge algorithm for efficient task scheduling in grid computing (2020)
  7. Rodrigues de Holanda Maia, Marcelo; Plastino, Alexandre; Penna, Puca Huachi Vaz: MineReduce: an approach based on data mining for problem size reduction (2020)
  8. Soares, Leonardo Cabral R.; Carvalho, Marco Antonio M.: Biased random-key genetic algorithm for scheduling identical parallel machines with tooling constraints (2020)
  9. Arnold, Florian; Gendreau, Michel; Sörensen, Kenneth: Efficiently solving very large-scale routing problems (2019)
  10. Arnold, Florian; Sörensen, Kenneth: Knowledge-guided local search for the vehicle routing problem (2019)
  11. Kaklauskas, Liudvikas; Sakalauskas, Leonidas; Denisovas, Vitalijus: Stalling for solving slow server problem (2019)
  12. Koster, Arie M. C. A.; Kuhnke, Sascha: An adaptive discretization algorithm for the design of water usage and treatment networks (2019)
  13. Bijlsma, Tjerk; Lint, Alexander; Verriet, Jacques: Early design phase cross-platform throughput prediction for industrial stream-processing applications (2018)
  14. Pinto, Bruno Q.; Ribeiro, Celso C.; Rosseti, Isabel; Plastino, Alexandre: A biased random-key genetic algorithm for the maximum quasi-clique problem (2018)
  15. Zubaran, Tadeu K.; Ritt, Marcus: An effective heuristic algorithm for the partial shop scheduling problem (2018)
  16. Schnell, Alexander; Hartl, Richard F.: On the efficient modeling and solution of the multi-mode resource-constrained project scheduling problem with generalized precedence relations (2016)