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Computer performance by orders of magnitude
This list compares various amounts of computing power in instructions per second organized by order of magnitude in FLOPS.
==Hecto-scale computing (102)==
* 2.2×102 Upper end of serialized human through put. This is roughly expressed by the lower limit of accurate event placement on small scales of time (The swing of a conductors arm, the reaction time to lights on a drag strip etc.)〔http://www.100fps.com/how_many_frames_can_humans_see.htm〕
* 2×102 IBM 602 1946 computer.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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