Home / GPU Comparison / AMD Radeon RX 7600 XT or AMD Radeon RX 7700 XT: What's better?

AMD Radeon RX 7600 XT vs AMD Radeon RX 7700 XT

AMD Radeon RX 7600 XT

AMD Radeon RX 7700 XT

GPU Comparison Result

Below are the results of a comparison of AMD Radeon RX 7600 XT and AMD Radeon RX 7700 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon RX 7600 XT

Higher Boost Clock: 2615MHz (2615MHz vs 2544MHz)

AMD Radeon RX 7700 XT

Larger Memory Size: 12GB (8GB vs 12GB)
Higher Bandwidth: 432.0 GB/s (288.0 GB/s vs 432.0 GB/s)
More Shading Units: 3456 (2048 vs 3456)
Newer Launch Date: August 2023 (May 2023 vs August 2023)

Basic

AMD

Label Name

AMD

May 2023

Launch Date

August 2023

Desktop

Platform

Desktop

Radeon RX 7600 XT

Model Name

Radeon RX 7700 XT

Navi III

Generation

Navi III

1500MHz

Base Clock

1700MHz

2615MHz

Boost Clock

2544MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

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

2250MHz

Memory Clock

2250MHz

288.0 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.

432.0 GB/s

Theoretical Performance

167.4 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.

244.2 GPixel/s

334.7 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.

549.5 GTexel/s

42.84 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.

70.34 TFLOPS

669.4 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.

1099 GFLOPS

20.992 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.

35.873 TFLOPS

Miscellaneous

2048

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.

3456

128 KB per Array

L1 Cache

128 KB per Array

2MB

L2 Cache

2MB

120W

TDP

245W

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

2.2