AMD Radeon RX 6900 XTX
About GPU
The AMD Radeon RX 6900 XTX is a powerhouse GPU that delivers high-end performance for demanding gamers and content creators. With a base clock of 2075MHz and a boost clock of 2435MHz, this GPU offers exceptional speed and efficiency for running the latest AAA games and handling resource-intensive applications.
The 16GB of GDDR6 memory and a memory clock of 2250MHz provide ample capacity and bandwidth for smooth and stutter-free gameplay, as well as seamless multitasking and content creation. The 5120 shading units and 4MB of L2 cache further enhance the GPU's rendering capabilities, allowing for stunning visuals and realistic graphics.
In terms of power efficiency, the RX 6900 XTX has a TDP of 330W, which may require a robust cooling solution to maintain optimal performance under heavy workloads. However, the theoretical performance of 24.93 TFLOPS makes it one of the most powerful GPUs on the market, delivering smooth and immersive gaming experiences at high resolutions and frame rates.
Overall, the AMD Radeon RX 6900 XTX is a top-tier GPU that offers exceptional performance for enthusiast gamers and professionals alike. Whether you're looking to push the boundaries of visual fidelity in gaming or need a reliable tool for demanding creative workloads, this GPU delivers the power and capabilities to meet your needs.
Basic
Label Name
AMD
Platform
Desktop
Model Name
Radeon RX 6900 XTX
Generation
Navi II
Base Clock
2075MHz
Boost Clock
2435MHz
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.
311.7 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.
779.2 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.
49.87 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.
1.558 TFLOPS
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.
24.431
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
128 KB per Array
L2 Cache
4MB
TDP
330W
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
Benchmarks
FP32 (float)
Score
24.431
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS