Arc A550M
Intel Arc A550M vs Intel Arc A350M
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the Intel Arc A550M and Intel Arc A350M video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
Intel
Intel
Launch Date
January 2022
March 2022
Platform
Mobile
Mobile
Model Name
Arc A550M
Arc A350M
Generation
Alchemist
Alchemist
Base Clock
300MHz
300MHz
Boost Clock
900MHz
1150MHz
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.
2048
768
Transistors
21,700 million
7,200 million
RT Cores
16
6
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.
128
48
L2 Cache
8MB
4MB
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x8
Foundry
TSMC
TSMC
Process Size
6 nm
6 nm
Architecture
Generation 12.7
Generation 12.7
TDP
60W
25W
Memory Specifications
Memory Size
8GB
4GB
Memory Type
GDDR6
GDDR6
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
64bit
Memory Clock
1750MHz
1750MHz
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.
224.0 GB/s
112.0 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.
57.60 GPixel/s
27.60 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.
115.2 GTexel/s
55.20 GTexel/s
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.
7.373 TFLOPS
3.533 TFLOPS
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.
-
441.6 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.
3.612
TFlops
1.801
TFlops
Miscellaneous
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.
1.3
1.3
OpenCL Version
3.0
3.0
OpenGL
4.6
4.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
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.
64
24
Shader Model
6.6
6.6
Advantages
Arc A550M
- More Shading Units: 2048 (2048 vs 768)
- Larger Memory Size: 8GB (8GB vs 4GB)
- Higher Bandwidth: 224.0 GB/s (224.0 GB/s vs 112.0 GB/s)
Arc A350M
- Higher Boost Clock: 1150MHz (900MHz vs 1150MHz)
- Newer Launch Date: March 2022 (January 2022 vs March 2022)
FP32 (float)
Arc A550M
+101%
3.612
TFlops
Arc A350M
1.801
TFlops
3DMark Time Spy
Arc A550M
+88%
5182
Arc A350M
2758
SiliconCat Rating
132
Ranks 132 among Mobile GPU on our website
581
Ranks 581 among all GPU on our website
198
Ranks 198 among Mobile GPU on our website
821
Ranks 821 among all GPU on our website
Arc A350M
