AMD Radeon RX 6600S vs AMD Radeon RX 7600 XT

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 6600S and AMD Radeon RX 7600 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

  • Higher Boost Clock: 2615MHz (2000MHz vs 2615MHz)
  • Larger Memory Size: 8GB (4GB vs 8GB)
  • Higher Bandwidth: 288.0 GB/s (224.0 GB/s vs 288.0 GB/s)
  • More Shading Units: 2048 (1792 vs 2048)
  • Newer Launch Date: May 2023 (January 2022 vs May 2023)

Basic

AMD
Label Name
AMD
January 2022
Launch Date
May 2023
Mobile
Platform
Desktop
Radeon RX 6600S
Model Name
Radeon RX 7600 XT
Mobility Radeon
Generation
Navi III
1700MHz
Base Clock
1500MHz
2000MHz
Boost Clock
2615MHz
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x16
11,060 million
Transistors
-
28
RT Cores
-
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.
-
TSMC
Foundry
-
7 nm
Process Size
-
RDNA 2.0
Architecture
-

Memory Specifications

4GB
Memory Size
8GB
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.
128bit
1750MHz
Memory Clock
2250MHz
224.0 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.
288.0 GB/s

Theoretical Performance

128.0 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.
167.4 GPixel/s
224.0 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.
334.7 GTexel/s
14.34 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.
42.84 TFLOPS
448.0 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.
669.4 GFLOPS
7.311 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.
20.992 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.
2048
128 KB per Array
L1 Cache
128 KB per Array
2MB
L2 Cache
2MB
80W
TDP
120W
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
2.1
OpenCL Version
2.2
4.6
OpenGL
-
12 Ultimate (12_2)
DirectX
-
None
Power Connectors
-
6.5
Shader Model
-
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.
-

Benchmarks

FP32 (float) / TFLOPS
Radeon RX 6600S
7.311
Radeon RX 7600 XT
20.992 +187%
OpenCL
Radeon RX 6600S
66774
Radeon RX 7600 XT
77989 +17%