AMD Radeon RX 6750 GRE 10 GB
The AMD Radeon RX 6750 GRE 10 GB GPU is a powerful and high-performance graphics card designed for desktop gaming and professional applications. With a base clock speed of 1941MHz and a boost clock speed of 2450MHz, this GPU delivers smooth and responsive gameplay, as well as fast rendering and processing for content creation tasks.
The 10GB of GDDR6 memory and a memory clock speed of 2000MHz ensure that the GPU can handle large and complex textures and assets with ease, making it suitable for high-resolution gaming and professional design work. The 2304 shading units and 3MB L2 cache contribute to the GPU's impressive performance, allowing for detailed and realistic visual effects in games and applications.
With a TDP of 170W and a theoretical performance of 11.516 TFLOPS, the RX 6750 GRE strikes a good balance between power efficiency and raw computational power. This means that users can expect high frame rates and smooth performance without excessive power consumption or heat output.
Overall, the AMD Radeon RX 6750 GRE 10 GB GPU is a capable and reliable graphics card that is well-suited for demanding gaming and professional workloads. Its impressive specifications and performance make it a strong contender in the mid-to-high-end GPU market. Whether you're a gamer, content creator, or professional designer, the RX 6750 GRE is a GPU worth considering for your next desktop build or upgrade.
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Basic
Label Name
AMD
Platform
Desktop
Launch Date
October 2023
Model Name
Radeon RX 6750 GRE 10 GB
Generation
Navi II
Base Clock
1941MHz
Boost Clock
2450MHz
Bus Interface
PCIe 4.0 x16
Transistors
17,200 million
RT Cores
36
Compute Units
36
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
144
Foundry
TSMC
Process Size
7 nm
Architecture
RDNA 2.0
Memory Specifications
Memory Size
10GB
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.
160bit
Memory Clock
2000MHz
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.
320.0 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.
156.8 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.
352.8 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.
22.58 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.
705.6 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.
11.516
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.
2304
L1 Cache
128 KB per Array
L2 Cache
3MB
TDP
170W
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
Power Connectors
1x 8-pin
Shader Model
6.7
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
64
Suggested PSU
450W
Benchmarks
FP32 (float)
Score
11.516
TFLOPS
3DMark Time Spy
Score
10618
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy