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AMD Radeon RX 6500M

About GPU

The AMD Radeon RX 6500M GPU is a solid option for gamers and content creators looking for a powerful and efficient mobile graphics solution. With a base clock of 2000MHz and a boost clock of 2400MHz, this GPU offers fast and responsive performance, making it well-suited for handling demanding gaming and multimedia tasks. The 4GB GDDR6 memory size and 2250MHz memory clock provide ample memory bandwidth for smooth and fluid visuals, while the 1024 shading units and 1024KB L2 cache contribute to the GPU's impressive rendering capabilities. Additionally, with a TDP of 50W, the Radeon RX 6500M strikes a good balance between performance and power efficiency, making it an ideal choice for thin and light gaming laptops and multimedia-focused notebooks. In terms of performance, the Radeon RX 6500M offers a theoretical performance of 4.915 TFLOPS, which translates to strong graphics processing power for handling modern games and creative applications. Overall, the AMD Radeon RX 6500M GPU delivers a compelling mix of performance, power efficiency, and feature set for mobile users seeking a capable graphics solution. Whether it's for gaming, video editing, or 3D rendering, this GPU has the chops to handle a variety of demanding workloads, making it a worthy contender in the mobile graphics market.

Basic

Label Name

AMD

Platform

Mobile

Launch Date

January 2022

Model Name

Radeon RX 6500M

Generation

Mobility Radeon

Base Clock

2000MHz

Boost Clock

2400MHz

Bus Interface

PCIe 4.0 x4

Memory Specifications

Memory Size

4GB

Memory Type

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.

64bit

Memory Clock

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.

144.0 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.

76.80 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.

153.6 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.

9.830 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.

307.2 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.

5.013 TFLOPS

Miscellaneous

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.

1024

L1 Cache

128 KB per Array

L2 Cache

1024KB

TDP

50W

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

OpenCL Version

2.2