AMD Radeon R7 350 640SP
The AMD Radeon R7 350 640SP GPU is a budget-friendly option for those looking to upgrade their desktop's graphics capabilities. With a memory size of 2GB and GDDR5 memory type, this GPU offers decent performance for casual gaming and media consumption.
The 640 shading units provide adequate processing power, allowing for smooth graphics rendering and efficient multitasking. The 1125MHz memory clock further enhances the GPU's performance, ensuring quick data access and transfer speeds.
One of the standout features of the AMD Radeon R7 350 640SP GPU is its low TDP of 55W. This means that it's power-efficient and won't significantly impact your electricity bill, making it an eco-friendly choice for environmentally conscious consumers.
With a theoretical performance of 1.184 TFLOPS, this GPU can handle popular games and multimedia tasks with ease, providing a satisfying user experience without breaking the bank.
The AMD Radeon R7 350 640SP GPU is a reliable option for entry-level gamers and general users who want to enhance their desktop's visual capabilities without investing in a high-end graphics card. Its affordable price point, efficient power consumption, and respectable performance make it a compelling choice for budget-conscious consumers. Overall, the AMD Radeon R7 350 640SP GPU delivers solid performance and value for its price, making it a worthwhile investment for those seeking a budget-friendly graphics upgrade for their desktop.
Read more...
Basic
Label Name
AMD
Platform
Desktop
Launch Date
January 2019
Model Name
Radeon R7 350 640SP
Generation
Pirate Islands
Bus Interface
PCIe 3.0 x16
Transistors
1,500 million
Compute Units
10
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.
40
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.
128bit
Memory Clock
1125MHz
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.
72.00 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.
14.80 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.
37.00 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.
74.00 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.
1.16
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.
640
L1 Cache
16 KB (per CU)
L2 Cache
256KB
TDP
55W
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
None
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.
16
Suggested PSU
250W
Benchmarks
FP32 (float)
Score
1.16
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS