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AMD Radeon 760M

About GPU

The AMD Radeon 760M is an integrated GPU that offers solid performance for a variety of tasks, including gaming and multimedia applications. With a base clock speed of 1500MHz and a boost clock speed of 2800MHz, this GPU is capable of handling demanding graphics workloads with ease. The 384 shading units and 2MB of L2 cache contribute to a smooth and efficient graphics processing experience. One of the key highlights of the Radeon 760M is its impressive theoretical performance, which is rated at 4.301 TFLOPS. This makes it a suitable choice for gamers and content creators who require a reliable and fast GPU for their work. The GPU also boasts a low power consumption of 15W, making it an energy-efficient option for laptops and other mobile devices. Additionally, the system shared memory size and type allow for flexibility in memory allocation, ensuring that the GPU can adapt to different workloads and applications. Overall, the AMD Radeon 760M is a solid choice for users who are looking for a capable integrated GPU. Its high clock speeds, efficient shading units, and low power consumption make it a versatile option for a wide range of tasks. Whether you're a casual gamer or a professional content creator, the Radeon 760M is a reliable and efficient choice for your graphics processing needs.

Basic

Label Name

AMD

Platform

Integrated

Launch Date

January 2023

Model Name

Radeon 760M

Generation

Navi III IGP

Base Clock

1500MHz

Boost Clock

2800MHz

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.

44.80 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.

67.20 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.

8.602 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.

268.8 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.

4.387 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.

384

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