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NVIDIA GeForce RTX 4070 SUPER

About GPU

The NVIDIA GeForce RTX 4070 SUPER is a powerful and high-performance GPU designed for desktop gaming and creative workloads. With a base clock of 2310MHz and a boost clock of 2610MHz, this GPU offers impressive speed and responsiveness for demanding tasks. One of the standout features of the RTX 4070 SUPER is its 12GB of GDDR6X memory, which provides ample capacity for high-resolution gaming and content creation. The memory clock speed of 1313MHz ensures fast data access and transfer, contributing to smooth and fluid gameplay experiences. With 7168 shading units and 48MB of L2 cache, the RTX 4070 SUPER is capable of delivering stunning visuals and realistic graphics. The TDP of 285W indicates that this GPU is a power-hungry beast, but the theoretical performance of 37.42 TFLOPS more than justifies its power consumption. In real-world usage, the RTX 4070 SUPER excels in handling the latest AAA gaming titles at ultra-high settings, as well as complex 3D rendering and video editing tasks. The GPU's ray tracing capabilities further enhance visual quality by simulating realistic lighting and reflections. Overall, the NVIDIA GeForce RTX 4070 SUPER is a top-of-the-line GPU that offers exceptional performance for hardcore gamers and professionals alike. Its impressive specifications and cutting-edge features make it a worthy investment for those seeking the ultimate gaming and creative experience.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

January 2024

Model Name

GeForce RTX 4070 SUPER

Generation

GeForce 40

Base Clock

2310MHz

Boost Clock

2610MHz

Bus Interface

PCIe 4.0 x16

Memory Specifications

Memory Size

12GB

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.

192bit

Memory Clock

1313MHz

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.

504.2 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.

208.8 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.

584.6 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.

37.42 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.

584.6 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.

38.168 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.

7168

L1 Cache

128 KB (per SM)

L2 Cache

48MB

TDP

285W

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