AMD Radeon R9 A375
About GPU
The AMD Radeon R9 A375 is a mobile GPU that offers impressive performance and efficiency for gaming and multimedia tasks. With a base clock speed of 900MHz and a boost clock of 925MHz, this GPU provides smooth and responsive graphics rendering for both casual and demanding gaming experiences. The 2GB of GDDR5 memory and a memory clock speed of 1125MHz ensure fast and reliable access to graphics data, resulting in seamless and immersive visuals.
One of the most notable aspects of the Radeon R9 A375 is its 640 shading units, which contribute to its impressive rendering capabilities and overall graphical performance. Additionally, the 256KB L2 cache helps to minimize latency and enhance responsiveness during graphics-intensive tasks.
In terms of power efficiency, the TDP of the Radeon R9 A375 is unknown, but its theoretical performance of 1.299 TFLOPS indicates that it offers a good balance between power consumption and graphics processing power.
Overall, the AMD Radeon R9 A375 is a solid choice for users who are looking for a capable and efficient mobile GPU. Its performance, memory capacity, and shading units make it well-suited for gaming and multimedia tasks, and its power efficiency is an added bonus. Whether you're a casual gamer or someone who needs reliable graphics performance for creative work, the Radeon R9 A375 is a GPU that delivers on multiple fronts.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
January 2015
Model Name
Radeon R9 A375
Generation
All-In-One
Base Clock
900MHz
Boost Clock
925MHz
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.
128bit
Memory Clock
1125MHz
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.
72.00 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.
16.24 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.
40.60 GTexel/s
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.
1.325
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.
640
L1 Cache
16 KB (per CU)
L2 Cache
256KB
TDP
Unknown
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 (1.2)
Benchmarks
FP32 (float)
Score
1.325
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS