AMD Radeon R9 370 1024SP
About GPU
The AMD Radeon R9 370 1024SP GPU is a decent mid-range graphics card that offers solid performance for gaming and general computing tasks. With a base clock of 925MHz and a boost clock of 975MHz, this GPU delivers smooth and consistent performance in most modern games and applications.
The 2GB of GDDR5 memory with a clock speed of 1400MHz provides ample graphical memory bandwidth for high-resolution textures and effects, resulting in sharp and detailed graphics. The 1024 shading units and 512KB of L2 cache further contribute to the GPU's ability to handle complex visual tasks with ease.
One of the standout features of this GPU is its low power consumption, with a TDP of 150W. This makes it an excellent choice for users who are conscious of their energy usage and want to build a more eco-friendly system.
In terms of real-world performance, the AMD Radeon R9 370 1024SP GPU is capable of delivering smooth gameplay at 1080p resolution in most modern titles. With a theoretical performance of 1.997 TFLOPS, it offers a good balance of price and performance for budget-conscious gamers.
While this GPU may not be able to handle 4K gaming or VR experiences as well as higher-end models, it is a solid option for those looking for a reliable and efficient graphics card for 1080p gaming and everyday computing tasks. Overall, the AMD Radeon R9 370 1024SP GPU is a great choice for budget-conscious gamers and general users looking for a reliable and efficient graphics card.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
June 2015
Model Name
Radeon R9 370 1024SP
Generation
Pirate Islands
Base Clock
925MHz
Boost Clock
975MHz
Bus Interface
PCIe 3.0 x16
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.
62.40 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.
124.8 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.
2.037
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.
1024
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
150W
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
Benchmarks
FP32 (float)
Score
2.037
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS