HP Chromebook 14-x001nd: NVIDIA Tegra K1 Kepler GPU, 14.00", 1.7 kg External Review » HP Chromebook 14-x001ndĪcer Chromebook 13 CB5-311-T1UU: NVIDIA Tegra K1 Kepler GPU, 13.30", 1.5 kg External Review » Acer Chromebook 13 CB5-311-T1UU NVIDIA Shield Tablet K1: NVIDIA Tegra K1 Kepler GPU, 8.00", 0.4 kg External Review » NVIDIA Shield Tablet K1Īcer Chromebook 13 CB5-311-T6R7: NVIDIA Tegra K1 Kepler GPU, 13.30", 1.5 kg External Review » Acer Chromebook 13 CB5-311-T6R7 HP Chromebook 14 G3: NVIDIA Tegra K1 Kepler GPU, 14.00", 1.7 kg External Review » HP Chromebook 14 G3Īcer Chromebook 13 CB5-311-T17X: NVIDIA Tegra K1 Kepler GPU, 13.30", 1.5 kg External Review » Acer Chromebook 13 CB5-311-T17X However, both Apple A8 and Snapdragon 805 can also be found in smartphones, whereas the more power-hungry Tegra K1 is mainly intended for tablets.Īcer Chromebook 13 CB5-311-T28J: NVIDIA Tegra K1 Kepler GPU, 13.30", 1.5 kg External Review » Acer Chromebook 13 CB5-311-T28J browsing tests), the quad-core Tegra and Snapdragon SoCs take the lead in multi-threaded tests. While the A8 wins most single-threaded benchmarks (e.g. In our benchmarks, Tegra K1 offers a performance similar to the Apple A8 and Qualcomm Snapdragon 805. Nvidia also claims a performance-to-power ratio similar to that of the Apple A7 at 1300 MHz and a 2 Watt power envelope. To compare performance against the competition, Nvidia chose the largely single-threaded Javascript benchmark Octane where the Tegra K1 was able to beat a Krait 400 (or Qualcomm Snapdragon 800) at every power level. In the SPECInt2K benchmark, Nvidia claims more than 1400 points compared to the nearly 1200 points of Tegra 4 while needing less power (see slide). Compared to the Tegra 4 A15 cores, performance has increased by up to 1.4x at the same power level. The four Cortex-A15 r3 CPU cores can be clocked up to 2.3 GHz (no higher frequency available for single thread load) and are advertised as fast and efficient. As an example, Nvidia has shown how to perform real time video effects using the GPU and CUDA (Chimera 2). Furthermore, the Kepler GPU can be used for general calculations using CUDA and OpenCL 1.1 (1.2 in theory). The new graphics card supports OpenGL 4.4 and DirectX 11 in hardware, or well above the current OpenGL ES 3.0 standard that is most common amongst the majority of mobile operating systems. This is a big step forward compared to the GeForce ULP in the Tegra 4 SoC, which was based on an old architecture with dedicated pixel- and vertex shaders that is similar to the GeForce 6 series of 2004 and supported only OpenGL ES 2.0. Therefore, Tegra K1 offers about half the power of a GK208 chip (384 shaders, 32 TMUs, 8 ROPs) such as a GeForce GT 730M or 740M. It integrates a full-featured Kepler-based graphics card that includes a single SMX with 192 CUDA cores, 8 TMUs and 4 ROPs. Nvidia has finally made the move to a unified shader architecture. The integrated graphics card has received the most significant upgrade in the Tegra K1 chipset. 2.133 MHz), Kepler-GPU, Dual ISP, 4K Encoder + Decoder, USB 3.0 SeriesĢx 32 Bit Dual-Channel Memory Controller (DDR3L, LPDDR2/3, max. ![]() Similar to Apples "Cyclone", Denver is alredy 64-bit capable (ARMv8) and has been developed by Nvidia itself. Especially the per-core performance should be significantly above the Cortex-A15 model. Later in 2014, Nvidia will introduce a second version of Tegra K1 with two "Denver" cores at up to 2.5 GHz. ![]() ![]() It is built at TSMC under a 28nm HPM process for improved peak performance (in contrast to the 28nm HPL process of Tegra 4 which is optimized for low leakage). Its main features include an integrated five ARM Cortex A15 cores (4+1), a Kepler-based graphics card with 192 CUDA cores, a dual-channel 64-bit memory controller (up to 4 GB), video codecs for encoding and decoding up to 4k content and dual ISP. ![]() The NVIDIA Tegra K1 (Tegra 5) is an ARM-based SoC (System on a Chip) made largely for high-end Android tablets and smartphones.
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