AMD Radeon R9 370
About GPU
The AMD Radeon R9 370 is a mid-range graphics processing unit that offers impressive performance and features for its price point. With a base clock speed of 925MHz and a boost clock speed of 975MHz, this GPU delivers smooth and consistent performance for a variety of gaming and multimedia tasks.
The 2GB of GDDR5 memory and a memory clock speed of 1400MHz ensure that the R9 370 can handle demanding graphics and video processing tasks with ease. The 1280 shading units and 512KB of L2 cache further contribute to the GPU's ability to handle complex rendering and visual effects.
One of the standout features of the R9 370 is its low power consumption, with a TDP of just 110W. This makes it an attractive option for users looking to build energy-efficient systems without sacrificing performance.
In real-world testing, the R9 370 delivers smooth and responsive gameplay at 1080p resolution for a wide range of modern titles. It's also capable of handling multimedia tasks such as video editing and 3D rendering with ease, making it a versatile option for users with a variety of computing needs.
Overall, the AMD Radeon R9 370 offers solid performance, efficient power consumption, and a range of features that make it a compelling choice for budget-conscious gamers and content creators. Whether you're building a new system or looking to upgrade your existing hardware, the R9 370 is definitely worth considering.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
May 2015
Model Name
Radeon R9 370
Generation
Pirate Islands
Base Clock
925MHz
Boost Clock
975MHz
Bus Interface
PCIe 3.0 x16
Transistors
2,800 million
Compute Units
24
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
80
Foundry
TSMC
Process Size
28 nm
Architecture
GCN 1.0
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.
256bit
Memory Clock
1400MHz
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.
179.2 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.
31.20 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.
78.00 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.
156.0 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.
2.446
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.
1280
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
110W
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
1.2
OpenGL
4.6
DirectX
12 (11_1)
Power Connectors
1x 6-pin
Shader Model
5.1
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
32
Suggested PSU
300W
Benchmarks
FP32 (float)
Score
2.446
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS