AMD Radeon 680M vs Intel Arc A730M

Specifications of GPUs

GPU Comparison Result

Below are the results of a comparison of the characteristics and performance of the AMD Radeon 680M and Intel Arc A730M video cards. This comparison will help you determine which one best suits your needs.

Basic

Label Name
AMD
Intel
Launch Date
January 2022
January 2022
Platform
Integrated
Mobile
Model Name
Radeon 680M
Arc A730M
Generation
Navi II IGP
Alchemist
Base Clock
2000MHz
300MHz
Boost Clock
2200MHz
1100MHz
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
3072
Transistors
13,100 million
21,700 million
RT Cores
12
24
Compute Units
12
-
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
192
L1 Cache
128 KB per Array
-
L2 Cache
2MB
12MB
Bus Interface
PCIe 4.0 x8
PCIe 4.0 x16
Foundry
TSMC
TSMC
Process Size
6 nm
6 nm
Architecture
RDNA 2.0
Generation 12.7
TDP
50W
80W

Memory Specifications

Memory Size
System Shared
12GB
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
192bit
Memory Clock
SystemShared
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
336.0 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.
70.40 GPixel/s
105.6 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.
105.6 GTexel/s
211.2 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.
6.758 TFLOPS
13.52 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.
211.2 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.
3.245 TFlops
7.032 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
2.0
3.0
OpenGL
4.6
4.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
Power Connectors
None
-
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
96
Shader Model
6.7
6.6

Advantages

AMD Radeon 680M
Radeon 680M
  • Higher Boost Clock: 2200MHz (2200MHz vs 1100MHz)
Intel Arc A730M
Arc A730M
  • More Shading Units: 3072 (768 vs 3072)
  • Larger Memory Size: 12GB (System Shared vs 12GB)
  • Higher Bandwidth: 336.0 GB/s (System Dependent vs 336.0 GB/s)
  • Newer Launch Date: January 2022 (January 2022 vs January 2022)

FP32 (float)

Radeon 680M
3.245 TFlops
Arc A730M
+117% 7.032 TFlops

3DMark Time Spy

Radeon 680M
2351
Arc A730M
+217% 7462

Blender

Radeon 680M
254
Arc A730M
+465% 1436

SiliconCat Rating

610
Ranks 610 among all GPU on our website
63
Ranks 63 among Mobile GPU on our website
367
Ranks 367 among all GPU on our website
Radeon 680M
Arc A730M

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