Nvidia gtx 680 performance full#

The second number is what NVIDIA calls the boost clock, and this one is far more nebulous, as it relates to the operation of GPU Boost itself.

Nvidia gtx 680 performance full#

The first number is what NVIDIA calls the base clock: this is another name for the regular core clock, and it represents the minimum full load clock for GTX 680 when operating at its full 3D clocks, the GTX 680 will never drop below this number. With GPU Boost in play this adds a new wrinkle to performance of course, but ultimately there are 2 numbers to pay attention to. Given the right workload the GTX 680 can boost by 100MHz or more, while under a heavy workload the GTX 680 may not move past 1006MHz. With GPU Boost NVIDIA is able to increase the core clock of GTX beyond its 1006MHz base clock, and like turbo on CPUs this is based on the power load, the GPU temperature, and the overall quality of the GPU. In a nutshell, GPU Boost is turbo for the GPU. With the introduction of Kepler NVIDIA is going to be tackling this problem for their products, and their answer is GPU Boost. This allowed lighter workloads to operate at higher clockspeeds, while keeping power consumption in check for heavy workloads. In essence with PowerTune the GPU could be clocked too high, and simply throttled down if it tried to draw too much power. With PowerTune AMD could set their clockspeeds relatively high, and should any application demand too much of the GPU, PowerTune would throttle down the GPU in order to avoid going over its TDP. In 2010 AMD took a stab that this scenario with PowerTune, which was first introduced on the Radeon HD 6900 series. Or put another way, tasks that are GPU limited but arenРІР‚в„ўt maxing out every aspect of the GPU need to be able to get good performance without being held back by the need to keep heavy workloads in check. GPUs need to be able to run demanding tasks such as Metro 2033 or even pathological applications like FurMark while staying within their designated TDPs, and at the same time they need to be sure to deliver good performance for compute applications and games that arenРІР‚в„ўt quite so demanding. Of course in the GPU world things arenРІР‚в„ўt that simple РІР‚вЂњ for starters we donРІР‚в„ўt have a good analogy for a lightly threaded workload РІР‚вЂњ but the concept is similar.

For virtually any CPU-bound workload the CPU can put itself into a state where the appropriate execution units are making the most of their TDP allocation.

By using turbo, Intel and AMD have been able to both maximize the performance of lightly threaded applications by boosting a handful of cores to high speeds, and at the same time maximize heavily threaded performance by boosting a large number of cores by little to none. The answer to that problem in the CPU space is turbo boosting РІР‚вЂњ that is increasing the clockspeed of one or more CPU cores so long as the chip as a whole remains at or under its TDP. With the need to design video cards around specific TDPs for both power supply and heat dissipation reasons, the goal becomes one of maximizing your performance inside of your assigned TDP. The problem of course is compounded by the fact that there are a wide range of possible workloads for a GPU, much like there is for a CPU. However for many of the same reasons NVIDIA has been focusing on efficiency in general, GPUs are being pressured to do more without consuming more. Until the last couple of years GPU power consumption has been allowed to slowly drift up with each generation, allowing for performance to scale to an incredible degree. Much like weРІР‚в„ўve seen with CPUs in previous years, GPUs are reaching a point where performance is being limited by overall power consumption. WeРІР‚в„ўll start with the feature thatРІР‚в„ўs going to have the biggest impact on performance: GPU Boost. Now that weРІР‚в„ўve had a chance to take a look at the Kepler architecture, letРІР‚в„ўs jump into features.