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AMD Radeon RX 7700

About GPU

The AMD Radeon RX 7700 is a powerful GPU designed for desktop systems, offering impressive performance and advanced features for gamers, content creators, and professionals alike. With a base clock speed of 1900MHz and a boost clock speed of 2600MHz, this GPU delivers fast and smooth performance for demanding applications and high-resolution gaming. One of the standout features of the Radeon RX 7700 is its generous 12GB of GDDR6 memory, providing ample capacity for handling large textures and complex scenes without compromising performance. The memory clock speed of 2250MHz ensures quick access to data, resulting in seamless and responsive gameplay experiences. With 3072 shading units and 2MB of L2 cache, the RX 7700 is well-equipped for rendering detailed visuals and handling complex calculations. Its 200W TDP ensures efficient power usage without sacrificing performance, making it suitable for a wide range of desktop systems. In terms of raw performance, the Radeon RX 7700 is capable of delivering a theoretical performance of 31.95 TFLOPS, making it a suitable choice for demanding workloads and high-resolution gaming. Overall, the AMD Radeon RX 7700 is a high-performance GPU that offers an impressive combination of speed, memory capacity, and advanced features, making it a compelling choice for users who require exceptional graphics performance for their desktop systems. Whether for gaming, content creation, or professional applications, the RX 7700 delivers the performance and features needed to meet the demands of today's most demanding tasks.

Basic

Label Name

AMD

Platform

Desktop

Launch Date

January 2023

Model Name

Radeon RX 7700

Generation

Navi III

Base Clock

1900MHz

Boost Clock

2600MHz

Bus Interface

PCIe 4.0 x16

Memory Specifications

Memory Size

12GB

Memory Type

GDDR6

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

2250MHz

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.

432.0 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.

249.6 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.

499.2 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.

63.90 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.

998.4 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.

32.589 TFLOPS

Miscellaneous

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.

3072

L1 Cache

128 KB per Array

L2 Cache

2MB

TDP

200W

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

2.2