Radeon RX 7900M
AMD Radeon RX 7900M vs AMD Radeon RX 7900 GRE
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the AMD Radeon RX 7900M and AMD Radeon RX 7900 GRE video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
AMD
AMD
Launch Date
October 2023
July 2023
Platform
Mobile
Desktop
Model Name
Radeon RX 7900M
Radeon RX 7900 GRE
Generation
Navi Mobile
Navi III
Base Clock
1825MHz
1287MHz
Boost Clock
2090MHz
2245MHz
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.
4608
5120
Transistors
57,700 million
57,700 million
RT Cores
72
80
Compute Units
72
80
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.
288
320
L1 Cache
256 KB per Array
256 KB per Array
L2 Cache
6MB
6MB
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x16
Foundry
TSMC
TSMC
Process Size
5 nm
5 nm
Architecture
RDNA 3.0
RDNA 3.0
TDP
180W
260W
Memory Specifications
Memory Size
16GB
16GB
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.
256bit
256bit
Memory Clock
2250MHz
2250MHz
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.
576.0 GB/s
576.0 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.
267.5 GPixel/s
431.0 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.
601.9 GTexel/s
718.4 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.
77.05 TFLOPS
91.96 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.
1204 GFLOPS
1437 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.
37.747
TFlops
46.895
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
2.2
2.2
OpenGL
4.6
4.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
Power Connectors
None
2x 8-pin
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.
128
192
Shader Model
6.7
6.7
Suggested PSU
-
600W
Advantages
Radeon RX 7900M
- Newer Launch Date: October 2023 (October 2023 vs July 2023)
Radeon RX 7900 GRE
- Higher Boost Clock: 2245MHz (2090MHz vs 2245MHz)
- More Shading Units: 5120 (4608 vs 5120)
FP32 (float)
Radeon RX 7900M
37.747
TFlops
Radeon RX 7900 GRE
+24%
46.895
TFlops
SiliconCat Rating
5
Ranks 5 among Mobile GPU on our website
67
Ranks 67 among all GPU on our website
28
Ranks 28 among Desktop GPU on our website
51
Ranks 51 among all GPU on our website
Radeon RX 7900 GRE
