AMD Radeon 880M vs Intel Arc A570M

Specifications of GPUs

GPU Comparison Result

Below are the results of a comparison of the characteristics and performance of the AMD Radeon 880M and Intel Arc A570M video cards. This comparison will help you determine which one best suits your needs.

Basic

Label Name
AMD
Intel
Launch Date
July 2024
August 2023
Platform
Integrated
Mobile
Model Name
Radeon 880M
Arc A570M
Generation
Navi III IGP
Alchemist
Base Clock
400 MHz
900MHz
Boost Clock
2900 MHz
1300MHz
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.
768
2048
Transistors
25.39 billion
Unknown
RT Cores
16
16
Compute Units
16
-
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
-
256
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.
48
128
L1 Cache
128 KB per Array
-
L2 Cache
2 MB
8MB
Bus Interface
PCIe 4.0 x8
PCIe 4.0 x8
Foundry
TSMC
TSMC
Process Size
4 nm
6 nm
Architecture
RDNA 3.0
Generation 12.7
TDP
15W
75W

Memory Specifications

Memory Size
System Shared
8GB
Memory Type
System Shared
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.
System Shared
128bit
Memory Clock
System Shared
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.
System Dependent
224.0 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.
92.80 GPixel/s
83.20 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.
139.2 GTexel/s
166.4 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.
17.82 TFLOPS
10.65 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.
556.8 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.
8.82 TFlops
5.218 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
2.1
3.0
OpenGL
4.6
4.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
Power Connectors
None
-
Shader Model
6.7
6.6
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
64

Advantages

AMD Radeon 880M
Radeon 880M
  • Higher Boost Clock: 2900 MHz (2900 MHz vs 1300MHz)
  • Newer Launch Date: July 2024 (July 2024 vs August 2023)
Intel Arc A570M
Arc A570M
  • More Shading Units: 2048 (768 vs 2048)
  • Larger Memory Size: 8GB (System Shared vs 8GB)
  • Higher Bandwidth: 224.0 GB/s (System Dependent vs 224.0 GB/s)

FP32 (float)

Radeon 880M
+69% 8.82 TFlops
Arc A570M
5.218 TFlops

SiliconCat Rating

328
Ranks 328 among all GPU on our website
95
Ranks 95 among Mobile GPU on our website
463
Ranks 463 among all GPU on our website
Radeon 880M
Arc A570M

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