AMD Radeon RX 8800 XT
About GPU
The AMD Radeon RX 8800 XT is a powerhouse of a GPU that delivers exceptional performance for desktop gaming and content creation. With a base clock of 1295 MHz and a boost clock of 2430 MHz, this GPU is capable of handling even the most demanding games and applications with ease.
One of the standout features of the RX 8800 XT is its massive 16GB of GDDR6 memory, which allows for lightning-fast data access and smooth, stutter-free performance in even the most graphically intensive tasks. The memory clock of 2438 MHz further enhances the GPU's capability to handle high-resolution textures and complex scenes without breaking a sweat.
With 3584 shading units and 4MB of L2 cache, the RX 8800 XT is able to efficiently handle complex shader computations and deliver stunning visuals with ease. Additionally, with a TDP of 220W, this GPU strikes a fine balance between performance and power efficiency.
The RX 8800 XT boasts a theoretical performance of 17.768 TFLOPS, making it a top contender for high-performance gaming rigs and workstations alike. Whether you're a hardcore gamer, a video editor, or a 3D artist, this GPU has the horsepower to meet your needs.
In conclusion, the AMD Radeon RX 8800 XT is a top-of-the-line GPU that offers exceptional performance, generous memory capacity, and efficient power consumption. If you're in the market for a high-end graphics card that can handle anything you throw at it, the RX 8800 XT is definitely worth considering.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
December 2024
Model Name
Radeon RX 8800 XT
Generation
Navi IV
Base Clock
1295 MHz
Boost Clock
2430 MHz
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
2438 MHz
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.
624.1GB/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.
233.3 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.
544.3 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.
34.84 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.
544.3 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.
17.768
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.
3584
L1 Cache
128 KB per Array
L2 Cache
4 MB
TDP
220W
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
Benchmarks
FP32 (float)
Score
17.768
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS