AMD Radeon R9 285
About GPU
The AMD Radeon R9 285 is a solid mid-range GPU that offers a good balance of performance and affordability. With a Memory Size of 2GB and Memory Type of GDDR5, it provides sufficient memory and fast data processing capabilities. The 1375MHz Memory Clock enables smooth and efficient operation, while the 1792 Shading Units and 512KB L2 Cache ensure high-quality visuals and fast rendering speeds.
The R9 285 has a TDP of 190W, which is relatively high but expected for a GPU of this caliber. Despite the higher power consumption, the Theoretical Performance of 3.29 TFLOPS makes it well-equipped for gaming and other graphics-intensive tasks.
In terms of real-world performance, the R9 285 is capable of handling most modern games at 1080p resolution with high settings. It may struggle with more demanding titles at 1440p or 4K, but for the price point, it offers impressive performance.
One downside of the R9 285 is its limited 2GB Memory Size, which may not be sufficient for certain games or applications, especially at higher resolutions. Additionally, with newer GPUs offering more advanced features and higher memory capacities, the R9 285 may start to show its age in the coming years.
Overall, the AMD Radeon R9 285 is a reliable and capable mid-range GPU that offers good performance for its price. While it may not be the most advanced option on the market, it provides a solid gaming experience for budget-conscious consumers.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
September 2014
Model Name
Radeon R9 285
Generation
Volcanic Islands
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
2GB
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.
256bit
Memory Clock
1375MHz
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.
176.0 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.
29.38 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.
102.8 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.
3.290 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.
205.6 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.
3.356
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.
1792
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
190W
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.
1.2.170
OpenCL Version
2.1
Benchmarks
FP32 (float)
Score
3.356
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS