AMD Radeon RX 7950 XTX
About GPU
The AMD Radeon RX 7950 XTX is a powerful and high-performance GPU designed for desktop gaming and professional graphics work. With a base clock of 2200MHz and a boost clock of 3300MHz, this GPU delivers exceptional speed and smooth performance, making it ideal for demanding gaming, 3D rendering, and video editing tasks.
One of the standout features of the Radeon RX 7950 XTX is its impressive 24GB of GDDR6 memory, allowing for seamless multitasking and handling of large datasets. The high memory clock speed of 2500MHz ensures that data can be quickly accessed and processed, further enhancing the GPU's overall performance.
With 6144 shading units and 6MB of L2 cache, the Radeon RX 7950 XTX is capable of producing stunning visuals and lifelike graphics, creating an immersive gaming experience. Additionally, the GPU's 355W TDP demonstrates its robust power capabilities, making it suitable for high-end gaming rigs and workstations.
The theoretical performance of 81.1 TFLOPS further underscores the GPU's capability to handle complex computations and graphics-intensive tasks with ease. Whether it's for gaming, content creation, or professional design work, the AMD Radeon RX 7950 XTX excels in delivering top-tier performance and reliability.
Overall, the AMD Radeon RX 7950 XTX is a formidable GPU that offers exceptional speed, ample memory, and impressive processing power, making it a compelling choice for enthusiasts and professionals seeking a high-performance graphics solution.
Basic
Label Name
AMD
Platform
Desktop
Model Name
Radeon RX 7950 XTX
Generation
Navi III
Base Clock
2200MHz
Boost Clock
3300MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
24GB
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.
384bit
Memory Clock
2500MHz
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.
960.0 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.
633.6 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.
1267 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.
162.2 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.
2.534 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.
79.478
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.
6144
L1 Cache
256 KB per Array
L2 Cache
6MB
TDP
355W
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
79.478
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS