AMD Radeon R9 M385X

AMD Radeon R9 M385X

About GPU

The AMD Radeon R9 M385X GPU is a mobile platform GPU that offers impressive performance and power efficiency for gaming and multimedia tasks. With a base clock speed of 1000MHz and a boost clock speed of 1100MHz, this GPU delivers smooth and responsive graphics rendering. The 4GB of GDDR5 memory and a memory clock of 1200MHz ensure that the GPU can handle demanding games and applications with ease. With 896 shading units and 256KB of L2 cache, the R9 M385X is capable of handling complex graphical calculations and rendering tasks. The theoretical performance of 1.971 TFLOPS further demonstrates the GPU's ability to handle high-intensity workloads. In real-world usage, the R9 M385X delivers excellent performance in modern games, allowing for smooth gameplay at high resolutions and detail settings. The GPU's power efficiency is also commendable, ensuring that it can deliver high performance without excessive heat or power draw. Overall, the AMD Radeon R9 M385X is a capable mobile GPU that provides strong performance for gaming and multimedia tasks. Its combination of high memory bandwidth, ample memory size, and efficient architecture make it a solid choice for those looking for a powerful mobile graphics solution. Whether for gaming or content creation, the R9 M385X is a GPU that can handle demanding workloads with ease.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
May 2015
Model Name
Radeon R9 M385X
Generation
Gem System
Base Clock
1000MHz
Boost Clock
1100MHz
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.
128bit
Memory Clock
1200MHz
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.
76.80 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.
17.60 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.
61.60 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.
123.2 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.
1.932 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.
896
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

Benchmarks

FP32 (float)
Score
1.932 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
1.932 +0%
1.932 -0%
1.932 -0%