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AMD Radeon RX 7500 XT

About GPU

The AMD Radeon RX 7500 XT GPU is a promising addition to the AMD graphics card lineup. With its base clock of 1452MHz and boost clock of 2300MHz, this desktop platform GPU offers impressive performance for gaming and other graphics-intensive tasks. The 6GB of GDDR6 memory and a memory clock of 2250MHz provide ample memory bandwidth for handling demanding games and applications. The GPU boasts 1024 shading units and 2MB of L2 cache, ensuring smooth and efficient processing of graphical data. With a TDP of 100W, the RX 7500 XT strikes a good balance between power consumption and performance. Theoretical performance of 9.421 TFLOPS indicates that this GPU can handle high-resolution gaming and content creation with ease. In terms of gaming performance, the RX 7500 XT is capable of running the latest titles at high settings with smooth frame rates. Its architecture also makes it a good choice for productivity tasks such as video editing and 3D rendering. Overall, the AMD Radeon RX 7500 XT GPU offers a strong combination of performance and value for desktop users. Its efficient power consumption, solid gaming performance, and support for modern features make it a compelling option for those in need of a capable graphics card. Whether you're a gamer or a content creator, the RX 7500 XT is worth considering for your next PC build or upgrade.

Basic

Label Name

AMD

Platform

Desktop

Launch Date

January 2023

Model Name

Radeon RX 7500 XT

Generation

Navi III

Base Clock

1452MHz

Boost Clock

2300MHz

Bus Interface

PCIe 4.0 x8

Memory Specifications

Memory Size

6GB

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.

96bit

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.

216.0 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.

73.60 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.

147.2 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.

18.84 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.

294.4 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.

9.609 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.

1024

L1 Cache

128 KB per Array

L2 Cache

2MB

TDP

100W

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