The Nvidia Pascal-based GPU manufactured with TSMC's advanced 16nm process represents a significant leap forward in graphics processing technology. Released in September 2016, this cutting-edge GPU boasts an impressive array of specifications that cater to the demands of high-performance computing tasks. With a staggering 11.8 billion transistors packed into its architecture, this GPU is designed to deliver unparalleled levels of computational power and efficiency.

The utilization of the 16nm process ensures that the chip is not only powerful but also energy-efficient, striking a balance between performance and power consumption. At the heart of this GPU lies its 3840 CUDA cores, which are responsible for handling parallel processing tasks, making it ideal for applications that require massive computational throughput. Combined with its expansive 24GB of GDDR5 memory, this GPU offers a vast reservoir of resources for handling complex simulations, rendering tasks, and deep learning algorithms.

The inclusion of a 3MB L2 cache further enhances performance by reducing memory latency and improving data access speed, ensuring that the GPU can operate at peak efficiency across a wide range of workloads. When it comes to raw performance metrics, this GPU does not disappoint. With a theoretical performance of 11.76 TFLOPS, users can expect lightning-fast processing speeds for tasks that demand high computational precision.

Despite its formidable processing capabilities, the GPU manages to keep power consumption in check, with a total power draw of 250W. This balance between performance and energy efficiency makes it an attractive choice for professionals and enthusiasts alike who require uncompromising performance without sacrificing power efficiency. In conclusion, the Nvidia Pascal-based GPU crafted with TSMC's advanced 16nm process represents a technological marvel that pushes the boundaries of what is possible in the realm of graphics processing, offering a potent combination of performance, efficiency, and scalability for a wide range of computing applications.