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AMD Radeon 740M

About GPU

The AMD Radeon 740M GPU is a powerful integrated graphics solution that offers impressive performance for a variety of computing tasks. With a base clock speed of 1500MHz and a boost clock speed of 2500MHz, this GPU can handle demanding applications and games with ease. One of the standout features of the Radeon 740M is its 2.56 TFLOPS of theoretical performance, which allows for smooth and responsive gameplay and graphics rendering. The 256 shading units and 2MB of L2 cache further enhance the GPU's capabilities, ensuring that it can handle complex visual effects and high-resolution textures without sacrificing performance. While the memory size and type are system shared, the GPU is still able to deliver fast and efficient memory access, allowing for seamless multitasking and quick data retrieval. The TDP of 15W also ensures that the GPU operates efficiently and does not consume excessive power, making it suitable for use in a wide range of devices, including laptops and small form factor PCs. Overall, the AMD Radeon 740M GPU is a versatile and capable graphics solution that offers excellent performance for gaming, content creation, and general computing tasks. Its impressive clock speeds, shading units, and theoretical performance make it a strong contender in the integrated GPU market, and it is well-suited for users who require a balance of power and energy efficiency in their computing devices.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

January 2023

Model Name

Radeon 740M

Generation

Navi III IGP

Base Clock

1500MHz

Boost Clock

2500MHz

Bus Interface

PCIe 4.0 x8

Memory Specifications

Memory Size

System Shared

Memory Type

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.

System Shared

Memory Clock

SystemShared

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.

System Dependent

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.

20.00 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.

40.00 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.

5.120 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.

160.0 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.

2.509 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.

256

L1 Cache

128 KB per Array

L2 Cache

2MB

TDP

15W

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

2.1