"After Philco was purchased by Ford Motor Company, the Model 212 was introduced in 1962[19] and released in 1963. It had 65,535 words of 48-bit memory. Initiall

"After Philco was purchased by Ford Motor Company, the Model 212 was introduced in 1962[19] and released in 1963. It had 65,535 words of 48-bit memory. Initially made with 6-microsecond core memory, it had better performance than the IBM 7094 transistor computer. It was later upgraded in 1964 to 2-microsecond core memory, which gave the machine floating-point performance greater than the IBM 7030 Stretch computer. A Model 213 was announced in 1964 but never built. By that time competition from IBM had made the Philco computer operations no longer profitable for Ford, and the division was closed down.[20][21] The Model 212 could carry out a floating-point multiplication in 22 microseconds. Each word contained two 24-bit instructions with 16 bits of address information and eight bits for the opcode. There were 225 different valid opcodes in the Model 212; invalid opcodes were detected and halted the machine. The CPU had an accumulator register of 48 bits, three general-purpose registers of 24 bits, and 32 index registers of 15 bits. Main memory size ranged from 4K words to 64K words. Only the first model had a magnetic drum memory; later editions used tape drives. The Model 212 weighed about 6,500 pounds (3.3 short tons; 2.9 t)." --Wikipedia (https://en.wikipedia.org/wiki/Philco_computers https://en.wikipedia.org/wiki/Philco_computers) So, for multiplication at least, the 212 was capable of 0.045 MFLOPS and 15.4 FLOPS/kg.. FLOPS/kg seems like a fun stat that we should probably calculate more often. The Earth's global computing capacity at the end of 2015 was estimated to be up 1.5e21 FLOPS[1], so the entire planet, elephants, mountains and all, produces just 0.00025 FLOPS/kg.. It seems like it might be a little while before the Earth has a higher computing power to weight ratio than this mainframe did, but probably not too much longer. It is just a piddly 16 doublings after all. [1]https://aiimpacts.org/global-computing-capacity/ https://aiimpacts.org/global-computing-capacity/