Today, smartphone processors play a big importance when prospective buyers are deciding to purchase a handset. Is it dual-core or quad-core? What's the clock-speed, 1.5GHz or 2GHz? these are the kind of questions thrown by the average individual. Phone manufacturers also sometimes use processor-related factoids to pull wool over the eyes of the uninformed customer. Thus, you'll come across a 'quad-core 1.5GHz' processor in a phone that sells for Rs 10,000. Deep-diving reveals different qualities of processors that are based on older or newer architectures (ARM Cortex A7 or A15), coupled with different GPUs (PowerVR SGX544 or Adreno 330), which creates a vast difference between the actual performance of two seemingly similar sounding chips. Moving away from the numbers game, a new kind of change is seen in chipset marketing co-processors. They are not to be confused to the likes of NVIDIA Tegra 3's companion core, which was simply a low-power processor that would kick in idle states to rest the meaty quad-core CPUs in an attempt to save battery. No, these co-processors aren't responsible for general-purpose computing but rather for specific purposes. In recent times, the most advertised co-processors were the ones put on the Moto X and Apple's iPhone 5s. Motorola's X8 Mobile Computing System is a combination of a run-of-the-mill Qualcomm Snapdragon S4 Pro dual-core 1.7 GHz CPU, an Adreno 320 GPU and two low power co-processors one for natural language processing and one for contextual computing. Speaking in plain English, these co-processors enable the Moto X to constantly listen to voices for a specific voice command that fires up the phone's voice command app (aka Google Now), without even touching the phone. Next, these co-processors also detect motion which sets the phone in Driving Mode. They also help switch on the display when you take the phone out of your pocket, saving the effort of pressing the power button to check for notifications. The iPhone 5s boasts the "M7" motion co-processor that constantly records motion data captured from the accelerometer, gyroscope and compass. Apple says this data can be used to say, let the iPhone's Maps app switch from driving directions to walking directions the moment you exit your vehicle.