GPU Boost: Turbo For GPUs

Now that we’ve had a chance to take a look at the Kepler architecture, let’s jump into features. We’ll start with the feature that’s going to have the biggest impact on performance: GPU Boost.

Much like we’ve seen with CPUs in previous years, GPUs are reaching a point where performance is being limited by overall power consumption. 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. 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.

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. 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 answer to that problem in the CPU space is turbo boosting – 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. 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. 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.

Of course in the GPU world things aren’t that simple – for starters we don’t have a good analogy for a lightly threaded workload – but the concept is similar. 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 aren’t quite so demanding. Or put another way, tasks that are GPU limited but aren’t 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.

In 2010 AMD took a stab that this scenario with PowerTune, which was first introduced on the Radeon HD 6900 series. 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 essence with PowerTune the GPU could be clocked too high, and simply throttled down if it tried to draw too much power. This allowed lighter workloads to operate at higher clockspeeds, while keeping power consumption in check for heavy workloads.

With the introduction of Kepler NVIDIA is going to be tackling this problem for their products, and their answer is GPU Boost.

In a nutshell, GPU Boost is turbo for the GPU. 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. 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 in play this adds a new wrinkle to performance of course, but ultimately there are 2 numbers to pay attention to. 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.

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. With GPU Boost NVIDIA does not have an explicit top clock; they’re letting chip quality play a significant role in GPU Boost. Because GPU Boost is based around power consumption and temperatures, higher quality GPUs that operate with lower power consumption can boost higher than lower quality GPUs with higher power consumption. In essence the quality of the chip determines its boost limit under normal circumstances.

Accordingly, the boost clock is intended to convey what kind of clockspeeds buyers can expect to see with the average GTX 680. Specifically, the boost clock is based on the average clockspeed of the average GTX 680 that NVIDIA has seen in their labs. This is what NVIDIA had to say about the boost clock in their reviewer’s guide:

The “Boost Clock” is the average clock frequency the GPU will run under load in many typical non-TDP apps that require less GPU power consumption. On average, the typical Boost Clock provided by GPU Boost in GeForce GTX 680 is 1058MHz, an improvement of just over 5%. The Boost Clock is a typical clock level achieved running a typical game in a typical environment

In other words, when the average GTX 680 is boosting it reaches 1058MHz on average.

Ultimately NVIDIA and their customers are going to go through some teething issues on this, and there’s no way around it. Although the idea of variable performance isn’t a new one – we already see this to some degree with CPU turbo – this is the first time we’ve seen something like this in the GPU space, and it’s going to take some time to get used to.

In any case while we can’t relate to you what the average GTX 680 does with GPU Boost, we can tell you about GPU Boost based on what we’ve seen with our review sample.

First and foremost, GPU Boost operates on the concept of steps, analogous to multipliers on a CPU. Our card has 9 steps, each 13MHz apart, ranging from 1006MHz to 1110MHz. And while it’s not clear whether every GTX 680 steps up in 13MHz increments, based on NVIDIA’s boost clock of 1058MHz this would appear to be the case, as that would be 4 steps over the base clock.

At each step our card uses a different voltage, listed in the table below. We should note that we’ve seen different voltages reported for the same step in some cases, so it’s not entirely clear what’s going on. In any case we’re listing the most common voltage we’ve recorded for each step.

GeForce GTX 680 GPU Boost Step Table
Frequency Voltage
1110MHz 1.175v
1097MHz 1.15v
1084MHz 1.137v
1071MHz 1.125v
1058MHz 1.125v
1045MHz 1.112v
1032MHz 1.100v
1019MHz 1.075v
1006MHz 1.062v

As for deciding what clockspeed to step up to, GPU boost determines this based on power consumption and GPU temperature. NVIDIA has on-card sensors to measure power consumption at the rails leading into the GPU, and will only allow the video card to step up so long as it’s below the GPU Boost power target. This target isn’t published, but NVIDIA has told us that it’s 170W. Note that this is not the TDP of the card, which is 195W. Because NVIDIA doesn’t have a true throttling mechanism with Kepler, their TDP is higher than their boost target as heavy workloads can push power consumption well over 170W even at 1006MHz.

Meanwhile GPU temperatures also play an important role in GPU boost. Our sample could only hit the top step (1110MHz) if the GPU temperature was below 70C; as soon as the GPU reached 70C it would be brought down to the next highest step of 1097MHz. This means that the top step is effectively unsustainable on the stock GTX 680, as there are few if any applications that are both intensive enough to require high clockspeeds and light enough to not push GPU temperatures up.

Finally, with the introduction of GPU Boost overclocking has been affected as well. Rather than directly controlling the core clock, overclocking is accomplished through the combined manipulation of the GPU Boost power target and the use of a GPU clock offset. Power target manipulation works almost exactly as you’d expect: you can lower and raise the GPU Boost power target by -30% to +32%, similar to how adjusting the PowerTune limit works on AMD cards. Increasing the power target allows the video card to pull more power, thereby allowing it to boost to higher steps than is normally possible (but no higher than the max step), while decreasing the power target keeps it from boosting at all.

The GPU offset meanwhile manipulates the steps themselves. By adjusting the GPU offset all of the GPU Boost steps are adjusted by roughly an equal amount, depending on what clocks the PLL driving the GPU can generate. E.G. a +100MHz offset clock would increase the 1st step to 1120MHz, etc up to the top step which would be increased to 1210MHz.

While each factor can be adjusted separately, it’s adjusting both factors together that truly unlock overclocking. Adjusting the GPU offset alone won’t achieve much if most workloads are limited by GPU Boost’s power target, and adjusting the power target alone won’t improve the performance of workloads that are already allowed to reach the highest step. By combining the two you can increase the GPU clock and at the same time increase the power target so that workloads are actually allowed to hit those new clocks.

On that note, overclocking utilities will be adding support for GPU Boost over the coming weeks. The first overclocking utility with support for GPU Boost is EVGA’s Precision X, the latest rendition of their Precision overclocking utility. NVIDIA supplied Precision X Beta 20 with our review samples, and as we understand it that will be made available shortly for GTX 680 buyers.

Finally, while we’ll go into full detail on overclocked performance in a bit, we wanted to quickly showcase the impact GPU Boost, both on regular performance and on overclocking. First up, we ran all of our benchmarks at 2560 with the power target for GPU boost set to -16%, which reduces the power target to roughly 142W. While GPU Boost cannot be disabled outright, this was enough to ensure that it almost never activated.

As is to be expected, the impact of GPU Boost varies depending on the game, but overall we found that enabling GPU boost on our card only improves performance by an average of 3%, and by no more than 5%. While this is effectively free performance, it also is a stark reminder that GPU Boost isn’t nearly as potent as turboing on a CPU – at least not quite yet. As there’s no real equivalent to the lightly threaded workload for GPUs, the need for a wide range of potential GPU Boost clocks is not nearly as great as the need for high turbo clocks on a CPU. Even a light GPU workload is relatively heavy when graphics itself is an embarrassingly parallel task.

Our other quick look is at overclocking. The following is what our performance looked like at 2560 with stock GPU Boost settings, a power target of +16% (195W), and a GPU offset of +100MHz.

Overall raising the GPU offset is much more effective than raising the power target to improve performance, reflecting the fact that in our case most games were limited by the GPU Boost clock rather than the power target at least some of the time.

The Kepler Architecture: Efficiency & Scheduling Meet the GeForce GTX 680
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  • chizow - Thursday, March 22, 2012 - link

    Nvidia let AMD off the hook by productizing a mid-range GK104 ASIC as their flagship SKU and pricing it at $500.

    Its a great part no doubt and beats AMD in every metric, but as the article stated, its still going to be the smallest increase in price:performance that we've seen since 9800GTX.

    Overall 28nm has been a huge disappointment so far in terms of performance increase over previous generations at the same price points, I guess we will have to wait for 28nm BigK to get that true high-end increase you'd expect from a smaller process node and new GPU arch.
  • B-Unit1701 - Thursday, March 22, 2012 - link

    'Off the hook'? LMAO they released what they had. They are already months late, the only other option would have been to just not release a card this generation, would THAT have made you happier?
  • chizow - Thursday, March 22, 2012 - link

    No, what would have made me happier from both Nvidia and AMD would be to follow their own historical price:performance metrics.

    Instead, we have AMD first trying to pass an overall unimpressive Tahiti part as a high-end flagship at $550+ followed by Nvidia following suit by pricing their mid-range ASIC as a $500 part.

    28nm has been a big disappointment so far, as we have the smallest increase in price:performance in any generation or process shrink since the 9800GTX.
  • CeriseCogburn - Thursday, March 22, 2012 - link

    With AMD GF foundry failures TSMC is stoked to the gills. We're not going to get the prices you want for performance for another 6 months or so when production is freed up with TSMC's ongoing 2B expansion.
    You ought to include real inflation as well which is as we all know far higher than the socialist government figures that are suppressed so their automatic payout increases are lessened.
    Be disappointed, a valid point, there are extenuating factors.
  • xrror - Thursday, March 22, 2012 - link

    exactly. I completely understand why Nvidia is charging $500 for their mid-range part, but it still sucks.

    AMD also... I get why the 6000 series was gimped (it was originally supposed to be 32nm, and that fell through) but 7000 series... maybe that can be explained by moving to a new arch with GCN.

    Regardless... disappointing. Well actually it's dissapointing that you must pay $500+ to get a card that /might/ give you a fresh gaming experience over the $350 card you bought last generation.

    Unless AMD can pull a 8000 gen card out of their arse with drivers that work (i'm not optimistic) then you can bet if/when "full Kepler" comes out it will be $800+
  • CeriseCogburn - Friday, March 23, 2012 - link

    Charlie D with his $299 leak, the only source, has made everyone think the 1core top card in the world was going to be released $150 cheaper than the current top 1core card in the world.
    He must still be laughing hard at semi-accurate.
  • chizow - Friday, March 23, 2012 - link

    It wasn't Charlie's leak, it was the combined evidence of ~300mm^2 size, transistor count, mid-range specs, ASIC designation, and leaked GTX 670Ti pics also leading people to the conclusion this part was originally meant to be priced in that $250-$350 range.

    Obviously GK104 performed better than expected, coupled with Tahiti being weaker than expected, resulting in what we see today: an exceptionally performing mid-range ASIC being SKU'd as an overpriced flagship part at premium pricing.
  • CeriseCogburn - Tuesday, March 27, 2012 - link

    Sorry I don't buy any of it. It's a "new architecture", if we take Charlie's leak, everything fits but the price, and every price has been $499 going on 4X in a row at least.
  • chizow - Friday, March 23, 2012 - link

    I agree, but honestly I don't even think AMD can compete at this point. Nvidia has beaten AMD at its own game soundly (small die, power efficient strategy, and done it with their 2nd best ASIC.

    Now they're free to make the slightly faster, power-hungry GPGPU monster GPU with as much TDP as they like without having to hear about it being worst than AMD's tree-hugging specs.
  • Sabresiberian - Friday, March 23, 2012 - link

    Nvidia releasing their new architecture a few months after AMD released theirs does not make them late. Nvidia's schedule hasn't been the same as AMD's for several years now.

    And, what's AMD's answer to Big Kepler going to be? They lost today to Nvidia's mid-line chip, they will lose big time when Big Kepler comes out. By the time they catch up, Maxwell will be breathing down their necks.

    ;)

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