Home / AMD / AMD Radeon RX 7800: Performance and Specs

AMD Radeon RX 7800

About GPU

The AMD Radeon RX 7800 is a high-performing GPU designed for desktop gaming and graphic-intensive applications. With a base clock of 1800MHz and a boost clock of 2800MHz, this GPU delivers exceptional speed and responsiveness, ensuring smooth gameplay and rapid rendering of complex visual designs. One of the standout features of the Radeon RX 7800 is its impressive 16GB GDDR6 memory, which allows for quick access to large amounts of data and textures, resulting in stunning visual quality and immersive gaming experiences. The 2250MHz memory clock further enhances the GPU's capability to handle demanding workloads without compromising on performance. With 3840 shading units and 4MB of L2 cache, the Radeon RX 7800 demonstrates remarkable parallel processing power, enabling it to efficiently handle advanced graphics tasks and compute-intensive calculations. Additionally, the GPU's TDP of 300W ensures stable and reliable operation under heavy workloads, making it suitable for professional applications as well. The Radeon RX 7800's theoretical performance of 43.01 TFLOPS underscores its ability to deliver exceptional graphics performance, making it an ideal choice for gamers, content creators, and professionals seeking a powerful GPU for their desktop systems. Overall, the AMD Radeon RX 7800 is a top-tier GPU that offers exceptional speed, memory capacity, and computational efficiency, making it a compelling option for users in need of high-performance graphics capabilities.

Basic

Label Name

AMD

Platform

Desktop

Launch Date

January 2023

Model Name

Radeon RX 7800

Generation

Navi III

Base Clock

1800MHz

Boost Clock

2800MHz

Bus Interface

PCIe 4.0 x16

Memory Specifications

Memory Size

16GB

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.

256bit

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.

576.0 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.

358.4 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.

672.0 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.

86.02 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.

1344 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.

42.15 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.

3840

L1 Cache

128 KB per Array

L2 Cache

4MB

TDP

300W

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