AMD Radeon RX 550 vs AMD Radeon HD 7850
GPU Comparison Result
Below are the results of a comparison of
AMD Radeon RX 550
and
AMD Radeon HD 7850
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Newer Launch Date: April 2017 (April 2017 vs March 2012)
- Higher Bandwidth: 153.6 GB/s (112.0 GB/s vs 153.6 GB/s)
- More Shading Units: 1024 (512 vs 1024)
Basic
AMD
Label Name
AMD
April 2017
Launch Date
March 2012
Desktop
Platform
Desktop
Radeon RX 550
Model Name
Radeon HD 7850
Polaris
Generation
Southern Islands
1100MHz
Base Clock
-
1183MHz
Boost Clock
-
PCIe 3.0 x8
Bus Interface
PCIe 3.0 x16
2,200 million
Transistors
2,800 million
8
Compute Units
16
32
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.
64
GlobalFoundries
Foundry
TSMC
14 nm
Process Size
28 nm
GCN 4.0
Architecture
GCN 1.0
Memory Specifications
2GB
Memory Size
2GB
GDDR5
Memory Type
GDDR5
128bit
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
1750MHz
Memory Clock
1200MHz
112.0 GB/s
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.
153.6 GB/s
Theoretical Performance
18.93 GPixel/s
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.
27.52 GPixel/s
37.86 GTexel/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.
55.04 GTexel/s
1211 GFLOPS
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. 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.
-
75.71 GFLOPS
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.
110.1 GFLOPS
1.235
TFLOPS
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.
1.796
TFLOPS
Miscellaneous
512
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
16 KB (per CU)
L1 Cache
16 KB (per CU)
512KB
L2 Cache
512KB
50W
TDP
130W
1.2
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
2.1
OpenCL Version
1.2
4.6
OpenGL
4.6
12 (12_0)
DirectX
12 (11_1)
None
Power Connectors
1x 6-pin
6.4
Shader Model
5.1
16
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
250W
Suggested PSU
300W
Benchmarks
FP32 (float)
/ TFLOPS
Radeon RX 550
1.235
Radeon HD 7850
1.796
+45%
3DMark Time Spy
Radeon RX 550
1171
Radeon HD 7850
1338
+14%
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