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AMD Radeon RX 6750 GRE

About GPU

The AMD Radeon RX 6750 GRE GPU is an impressive addition to the Radeon lineup, offering high-end performance for desktop gaming and professional workloads. With a base clock of 2321MHz and a boost clock of 2581MHz, this GPU delivers outstanding speed and responsiveness, allowing for smooth gaming experiences and efficient content creation. The 12GB of GDDR6 memory and a memory clock of 2250MHz provide ample resources for handling large textures and high-resolution assets, making the RX 6750 GRE an excellent choice for 4K gaming and content creation. The 2560 shading units and 3MB of L2 cache further contribute to the GPU's high performance, ensuring that it can handle demanding graphics workloads with ease. With a TDP of 250W, the RX 6750 GRE is a power-hungry GPU, but its theoretical performance of 13.21 TFLOPS more than justifies its power consumption. This GPU offers exceptional performance for demanding games and professional applications, making it a great choice for enthusiasts and professionals alike. Overall, the AMD Radeon RX 6750 GRE GPU is a powerful and efficient graphics card that offers high-end performance for gaming and content creation. With its impressive specifications and robust performance, it is a standout option for anyone looking to upgrade their desktop system with a high-performance GPU.

Basic

Label Name

AMD

Platform

Desktop

Launch Date

October 2023

Model Name

Radeon RX 6750 GRE

Generation

Navi II

Base Clock

2321MHz

Boost Clock

2581MHz

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.

165.2 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.

413.0 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.

26.43 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.

825.9 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.

13.474 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.

2560

L1 Cache

128 KB per Array

L2 Cache

3MB

TDP

250W

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

2.1