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AMD Radeon 660M vs AMD Radeon PRO W7600

AMD Radeon 660M

AMD Radeon PRO W7600

GPU Comparison Result

Below are the results of a comparison of AMD Radeon 660M and AMD Radeon PRO W7600 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon PRO W7600

Higher Boost Clock: 2440MHz (1900MHz vs 2440MHz)
Larger Memory Size: 8GB (System Shared vs 8GB)
Higher Bandwidth: 288.0 GB/s (System Dependent vs 288.0 GB/s)
More Shading Units: 2048 (384 vs 2048)
Newer Launch Date: August 2023 (January 2022 vs August 2023)

Basic

AMD

Label Name

AMD

January 2022

Launch Date

August 2023

Integrated

Platform

Desktop

Radeon 660M

Model Name

Radeon PRO W7600

Rembrandt

Generation

Radeon Pro Navi

1500MHz

Base Clock

1720MHz

1900MHz

Boost Clock

2440MHz

PCIe 4.0 x8

Bus Interface

PCIe 4.0 x8

Memory Specifications

System Shared

Memory Size

8GB

System Shared

Memory Type

GDDR6

System Shared

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

SystemShared

Memory Clock

2250MHz

System Dependent

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

30.40 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.

156.2 GPixel/s

45.60 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.

312.3 GTexel/s

2.918 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.

39.98 TFLOPS

91.20 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.

624.6 GFLOPS

1.43 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.

19.59 TFLOPS

Miscellaneous

384

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

15W

TDP

130W

1.2

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

2.0

OpenCL Version

2.2