AMD Radeon RX 7600M vs Intel Arc A730M
GPU Comparison Result
Below are the results of a comparison of AMD Radeon RX 7600M and Intel Arc A730M video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2410MHz (2410MHz vs 1100MHz)
- Newer Launch Date: January 2023 (January 2023 vs January 2022)
- Larger Memory Size: 12GB (8GB vs 12GB)
- Higher Bandwidth: 336.0 GB/s (256.0 GB/s vs 336.0 GB/s)
- More Shading Units: 3072 (1792 vs 3072)
Basic
AMD
Label Name
Intel
January 2023
Launch Date
January 2022
Mobile
Platform
Mobile
Radeon RX 7600M
Model Name
Arc A730M
Navi Mobile
Generation
Alchemist
1500MHz
Base Clock
300MHz
2410MHz
Boost Clock
1100MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
13,300 million
Transistors
21,700 million
28
RT Cores
24
28
Compute Units
-
112
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.
192
TSMC
Foundry
TSMC
6 nm
Process Size
6 nm
RDNA 3.0
Architecture
Generation 12.7
Memory Specifications
8GB
Memory Size
12GB
GDDR6
Memory Type
GDDR6
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.
192bit
2000MHz
Memory Clock
1750MHz
256.0 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.
336.0 GB/s
Theoretical Performance
154.2 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.
105.6 GPixel/s
269.9 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.
211.2 GTexel/s
34.55 TFLOPS
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.
13.52 TFLOPS
539.8 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.
-
17.615
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.
6.893
TFLOPS
Miscellaneous
1792
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.
3072
128 KB per Array
L1 Cache
-
2MB
L2 Cache
12MB
90W
TDP
80W
1.3
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
2.2
OpenCL Version
3.0
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
None
Power Connectors
-
64
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.
96
6.7
Shader Model
6.6
Benchmarks
FP32 (float)
/ TFLOPS
Radeon RX 7600M
17.615
+156%
Arc A730M
6.893
Blender
Radeon RX 7600M
1312
Arc A730M
1466
+12%
