AMD Radeon R9 M390X
About GPU
The AMD Radeon R9 M390X is a mobile GPU that offers great performance for gaming and other graphic-intensive tasks. With its 4GB of GDDR5 memory and a memory clock of 1250MHz, it provides fast and efficient data processing, allowing for smooth and high-quality graphics rendering.
The 2048 shading units contribute to the GPU's ability to handle complex shading tasks, providing sharp and realistic visuals. The 512KB L2 cache further enhances its performance by reducing memory latency and speeding up data access.
At a TDP of 75W, the M390X strikes a good balance between power consumption and performance, making it suitable for laptops and mobile devices where energy efficiency is crucial. The theoretical performance of 2.961 TFLOPS ensures that the GPU can handle even the most demanding games and applications with ease.
Overall, the AMD Radeon R9 M390X is a solid choice for those seeking a high-performing mobile GPU. Its combination of fast memory, ample shading units, and efficient power consumption makes it a reliable option for gamers and professionals who require robust graphics processing capabilities. Whether it's for gaming, content creation, or design work, the M390X delivers impressive performance that meets the demands of modern graphics-intensive tasks.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
May 2015
Model Name
Radeon R9 M390X
Generation
Crystal System
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.
256bit
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.
160.0 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.
23.14 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.
92.54 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.
2.961 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.
185.1 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.
2.902
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.
2048
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
75W
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
2.902
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS