The Top500 supercomputer list started in June 1993, just about 30 years ago. At the top is the CM-5/1024 by Thinking Machines Corporation at Los Alamos National Laboratory with 1,024 cores and peaking at 131.00 GFlop/s (billion floating point operations per second).
It's an Apples to ThinkingMachine Oranges comparison but CPU-Benchmark[1] ranks the Apple A16 Bionic used in the latest iPhones, its GPU - in the "iGPU - FP32 Performance (Single-precision GFLOPS)" section - at 2000 GFlop/s.
GadgetVersus[3] reports a GeekBench score of the A16 Bionic at 279.8 GFlop/s. - SGEMM test of matrix multiplication, it seems.
AnandTech[4] was reporting the A15 architecture ARMv7 came in at 6.1 GFlops in the "GeekBench 3 - Floating Point Performance" table, SGEMM MT test result, in 2015.
Interesting. I would have thought a few GFLOPs today would have been faster than the old super computer, but nope. The GPU is faster though. Still, the phone has both and can run on battery power while fitting in your pocket ;-)
It's an Apples to ThinkingMachine Oranges comparison but CPU-Benchmark[1] ranks the Apple A16 Bionic used in the latest iPhones, its GPU - in the "iGPU - FP32 Performance (Single-precision GFLOPS)" section - at 2000 GFlop/s.
GadgetVersus[3] reports a GeekBench score of the A16 Bionic at 279.8 GFlop/s. - SGEMM test of matrix multiplication, it seems.
AnandTech[4] was reporting the A15 architecture ARMv7 came in at 6.1 GFlops in the "GeekBench 3 - Floating Point Performance" table, SGEMM MT test result, in 2015.
[1] https://www.top500.org/lists/top500/1993/06/
[2] https://cpu-benchmark.org/cpu/apple-a16-bionic/
[3] https://gadgetversus.com/processor/apple-a15-bionic-gflops-p...
[4] https://www.anandtech.com/show/8718/the-samsung-galaxy-note-...