If you are considering purchasing a Nvidia Jetson TK1 Tegra K1 Developer Kit, which is now available to purchase for around $192, you might be interested in new NVIDIA Tegra K1 benchmarks created by members of the Phoronix/OpenBenchmarking community. These benchmarks provide valuable insights into the performance capabilities of the Tegra K1, especially when compared to other ARM and low-power x86 chips.
Understanding the Nvidia Jetson TK1 Developer Kit
The Nvidia Jetson TK1 Development Kit is a powerful tool for developers, featuring a Jetson TK1 development board fitted with a Tegra K1 SOC. This system-on-chip (SOC) includes a Kepler GPU with 192 CUDA cores and a 4-Plus-1 quad-core ARM Cortex A15 processor. The combination of these components makes the Jetson TK1 an excellent choice for applications requiring high computational power and energy efficiency.
The Kepler GPU architecture is particularly noteworthy for its ability to handle parallel processing tasks efficiently, making it suitable for applications in computer vision, robotics, and deep learning. The 192 CUDA cores provide substantial computational power, enabling developers to run complex algorithms and simulations directly on the device.
Benchmarking the Tegra K1
The NVIDIA Tegra K1 benchmark test results recorded by the Phoronix/Open benchmarking community primarily focus on processor speed while running various Linux distributions, including Linux Mint, Arch Linux, and Ubuntu. These benchmarks are crucial for developers who need to understand how the Tegra K1 performs under different operating systems and workloads.
Michael Larabel at Phoronix has been instrumental in providing detailed comparisons of the Tegra K1’s processor against other ARM and low-power x86 chips. His analysis helps developers gauge the performance of the Tegra K1 in real-world scenarios. For instance, the benchmarks reveal that the Tegra K1 performs competitively against Intel’s Celeron Bay Trail processors, which are commonly used in low-power computing devices.
One of the key takeaways from the benchmarks is the Tegra K1’s ability to deliver high performance while maintaining energy efficiency. This balance is critical for applications in embedded systems, where power consumption is a significant concern. The benchmarks also highlight the Tegra K1’s superior graphics performance, thanks to the Kepler GPU, making it an ideal choice for graphics-intensive applications.
For more detailed information on the new NVIDIA Tegra K1 benchmarks carried out by Michael Larabel, you can visit the Phoronix website. The site provides comprehensive benchmark results and analysis, helping developers make informed decisions about using the Tegra K1 in their projects.
The Nvidia Jetson TK1 Tegra K1 Developer Kit offers a robust platform for developers looking to leverage the power of the Tegra K1 SOC. The benchmarks provided by the Phoronix/OpenBenchmarking community and Michael Larabel offer valuable insights into the performance capabilities of the Tegra K1, making it easier for developers to choose the right hardware for their needs. Whether you are working on robotics, computer vision, or deep learning applications, the Jetson TK1 provides the computational power and energy efficiency required to bring your projects to life.
Source: Liliputing
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