AMD Radeon R9 M395X
About GPU
The AMD Radeon R9 M395X is a powerful and high-performance GPU designed for mobile gaming and professional graphics work. With 8GB of GDDR5 memory and a memory clock of 1250MHz, this GPU offers smooth and seamless multitasking and high-resolution gaming experiences. The 2048 shading units and 512KB of L2 cache provide excellent rendering and image quality, making it an ideal choice for graphic designers and video editors.
One of the standout features of the Radeon R9 M395X is its low TDP of 75W, which means it consumes less power and produces less heat, resulting in quieter and more energy-efficient systems. Despite its relatively low power consumption, this GPU delivers a theoretical performance of 2.961 TFLOPS, making it suitable for running demanding applications and AAA game titles without any lag or stuttering.
This GPU is well-suited for gaming laptops and mobile workstations, offering a balance of performance and power efficiency. It supports DirectX 12 and OpenGL 4.5, ensuring compatibility with the latest gaming technologies and rendering engines. Additionally, its 8GB of memory allows for smooth and stutter-free performance even at high resolutions and graphics settings.
Overall, the AMD Radeon R9 M395X is a solid choice for those looking for a high-performance mobile GPU that can handle the latest games and professional graphics workloads with ease. Its combination of high memory size, low power consumption, and excellent rendering capabilities make it a compelling option for gaming enthusiasts and creative professionals.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
May 2015
Model Name
Radeon R9 M395X
Generation
Crystal System
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
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