AMD Radeon R9 295X2
About GPU
The AMD Radeon R9 295X2 is a powerful GPU designed for desktop gaming and high-performance computing. With a memory size of 4GB and GDDR5 memory type, this GPU is capable of handling the most demanding gaming and graphics tasks. The high memory clock speed of 1250MHz ensures smooth and lag-free performance, even when running multiple applications simultaneously.
The GPU features 2816 shading units and a 1024KB L2 cache, allowing for fast and efficient processing of complex graphics and computational tasks. With a TDP of 500W, the Radeon R9 295X2 is a high-power GPU that requires a capable cooling solution to ensure optimal performance.
In terms of performance, the AMD Radeon R9 295X2 offers a theoretical performance of 5.733 TFLOPS, making it a great choice for gamers and professionals who require fast and responsive graphics. This GPU is well-suited for demanding gaming titles, 3D rendering, video editing, and other graphics-intensive applications.
Overall, the AMD Radeon R9 295X2 is a high-performance GPU that delivers impressive graphics and computational power. With its high memory size, fast memory clock speed, and large number of shading units, this GPU is a solid choice for anyone looking to upgrade their desktop system for gaming or professional graphics work. However, potential buyers should be aware of its high TDP and ensure that their system can handle the power requirements before making a purchase.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
April 2014
Model Name
Radeon R9 295X2
Generation
Volcanic Islands
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
Memory Type
GDDR5
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.
512bit
Memory Clock
1250MHz
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.
65.15 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.
179.2 GTexel/s
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.
716.7 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.
5.618
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.
2816
L1 Cache
16 KB (per CU)
L2 Cache
1024KB
TDP
500W
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.
1.2
OpenCL Version
2.0
Benchmarks
FP32 (float)
Score
5.618
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS