AMD Radeon R9 M470

AMD Radeon R9 M470

About GPU

The AMD Radeon R9 M470 is a powerful mobile GPU that offers impressive performance for gaming and graphics-intensive tasks. With a base clock of 900MHz and a boost clock of 1000MHz, this GPU delivers smooth and fluid gameplay with high frame rates. The 4GB of GDDR5 memory and a memory clock of 1375MHz ensure that it can handle high-resolution textures and other demanding graphics requirements with ease. With 768 shading units and 256KB of L2 cache, the Radeon R9 M470 is capable of handling complex rendering tasks and delivering stunning visual effects. The theoretical performance of 1.536 TFLOPS further demonstrates its capabilities in handling demanding workloads. In terms of real-world performance, the Radeon R9 M470 excels in delivering smooth and immersive gaming experiences. It can handle the latest AAA titles at high to ultra-settings, making it a great choice for gamers who want to enjoy their favorite games on the go. Additionally, it also performs well in content creation tasks such as video editing and 3D rendering, making it a versatile choice for professionals as well. One potential downside of the Radeon R9 M470 is that the TDP (Thermal Design Power) is unknown, which may affect the thermal performance and power consumption of the GPU. However, in general, the Radeon R9 M470 is a reliable and high-performance mobile GPU that offers great value for gamers and content creators looking for strong graphics performance in a portable package.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
May 2016
Model Name
Radeon R9 M470
Generation
Gem System
Base Clock
900MHz
Boost Clock
1000MHz
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
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.
88.00 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.
16.00 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.
48.00 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.
96.00 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.
1.505 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.
768
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
1.505 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
1.518 +0.9%
1.508 +0.2%
1.505 -0%
1.505 -0%