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AMD Radeon RX 7900 GRE

About GPU

The AMD Radeon RX 7900 GRE GPU is a powerhouse for desktop gaming and content creation. With a base clock of 1287MHz and a boost clock of 2245MHz, this GPU delivers exceptional performance across a wide variety of tasks. The 16GB of GDDR6 memory and a memory clock of 2250MHz ensure smooth and consistent performance, even when running demanding applications or games. One of the standout features of the Radeon RX 7900 GRE is its 5120 shading units, which allow for incredibly detailed and lifelike graphics. Combined with 6MB of L2 cache, this GPU is able to handle complex textures and lighting effects with ease. In terms of power consumption, the Radeon RX 7900 GRE has a TDP of 260W, which is on the higher end but is to be expected given the high level of performance it delivers. The theoretical performance of 45.98 TFLOPS further solidifies this GPU as a top-of-the-line option for users who demand the best possible graphics performance. Overall, the AMD Radeon RX 7900 GRE is an excellent choice for gamers and content creators who require a high-performance GPU. Its impressive specs and robust performance make it a standout option in the desktop GPU market, and it is sure to provide an exceptional gaming and content creation experience for those who choose to invest in it.

Basic

Label Name

AMD

Platform

Desktop

Launch Date

July 2023

Model Name

Radeon RX 7900 GRE

Generation

Navi III

Base Clock

1287MHz

Boost Clock

2245MHz

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.

431.0 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.

718.4 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.

91.96 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.

1437 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.

46.9 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.

5120

L1 Cache

256 KB per Array

L2 Cache

6MB

TDP

260W

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