Home / NVIDIA / NVIDIA GeForce RTX 4070 Ti SUPER: Performance and Specs

NVIDIA GeForce RTX 4070 Ti SUPER

About GPU

The NVIDIA GeForce RTX 4070 Ti SUPER GPU is an impressive addition to the RTX 4000 series, offering unparalleled performance and advanced features for desktop gaming and creative applications. With a base clock of 2205MHz and a boost clock of 2505MHz, this GPU delivers blazing fast speeds for smooth gameplay and seamless multitasking. One of the standout features of the RTX 4070 Ti SUPER is its generous 16GB of GDDR6X memory, allowing for high-resolution textures and complex scenes to load quickly and efficiently. The memory clock of 1400MHz ensures that data can be accessed and processed at lightning speeds, further enhancing the overall performance of the GPU. With 8448 shading units and 64MB of L2 cache, the RTX 4070 Ti SUPER is capable of handling even the most demanding graphics workloads with ease. The 320W TDP may require a robust cooling solution, but it is a small price to pay for the immense power that this GPU offers. From gaming to content creation, the NVIDIA GeForce RTX 4070 Ti SUPER excels in every task, offering a theoretical performance of 42.32 TFLOPS. Whether you're a competitive gamer or a professional creator, this GPU is sure to elevate your experience to new heights. Overall, the RTX 4070 Ti SUPER is a top-tier GPU that delivers exceptional performance and cutting-edge features, making it a worthy investment for any enthusiast or professional user.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

January 2024

Model Name

GeForce RTX 4070 Ti SUPER

Generation

GeForce 40

Base Clock

2205MHz

Boost Clock

2505MHz

Bus Interface

PCIe 4.0 x16

Memory Specifications

Memory Size

16GB

Memory Type

GDDR6X

Memory Bus

The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.

256bit

Memory Clock

1400MHz

Bandwidth

Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.

716.8 GB/s

Theoretical Performance

Pixel Rate

Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.

280.6 GPixel/s

Texture Rate

Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.

661.3 GTexel/s

FP16 (half)

An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.

42.32 TFLOPS

FP64 (double)

An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

661.3 GFLOPS

FP32 (float)

An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

43.166 TFLOPS

Miscellaneous

SM Count

Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.

Shading Units

The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.

8448

L1 Cache

128 KB (per SM)

L2 Cache

64MB

TDP

320W

Vulkan Version

Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.

1.3

OpenCL Version

3.0