Porsche Tuning

TechArt Brings Top Notch Porsche Fleet to Geneva 2017

The upcoming 2017 Geneva Motor Show, the most important auto event of the year which opens its gates next month, is not going to be an oasis only for carmakers, but also for tuning companies which have also prepared an interesting fleet of outstanding models.

The German technicians from famous tuning company TechArt has recently given us an insight on its Porsche fleet that is on its way to Geneva. We are looking here at top notch models, with exquisite programs that make them extremely beautiful and powerful at the same time.

We should be able to admire in all their plenitude hot models like an extensively modified model based on the new Panamera Turbo – the GrandGT, followed by the GTstreet R Cabriolet – which is no one than the 911 Turbo S Cabrio – as well as the tuner`s freshly customized and already previewed 718 Cayman S.

Other models following refer to the Magnum Sport Edition “30 Years” – a modified version of the new Cayenne Turbo – and the Porsche 928 S4 Coupe. All of them look exceptional and really mind-blowing.

As expected, TechArt didn’t reveal the full details, but it did give us an insight to make a perfect clue on how well-equipped these rides will be.

For instance, the gorgeous Porsche GrandGT (2017 Panamera Turbo) will make the headlines with a prominent body kit with new front apron and integrated splitter, airframes and central air outlet, side skirts or new rear apron with rear diffuser. Not to mention a neat power boost.

On the other hand, the GTstreet R Cabriolet will come with plenty of power, around 720 horsepower, with a sprint from 0 to 100 km/h done in 2.7 seconds, at a top speed of 340 km/h.

As for the 718 Cayman S, the technicians have also installed their special aero package, highlighted by a two-piece front spoiler, central air outlet, rear diffuser with two rear spoilers, all providing it with a more aggressive look. The model is also now capable of 400 horsepower, adding a sprint from 0 to 100 km/h in just 3.9 seconds.

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