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Intel Arc A380M

About GPU

The Intel Arc A380M is a mobile GPU that offers impressive performance and a range of features that make it a great choice for gaming and content creation. With a base clock speed of 1550MHz and a boost clock of 2000MHz, the A380M delivers smooth and responsive graphics rendering, even for demanding applications and games. Equipped with 6GB of GDDR6 memory with a clock speed of 1937MHz, the A380M provides ample memory bandwidth for handling high-resolution textures and complex visual effects. The 1024 shading units offer excellent parallel processing capabilities, which contribute to the GPU's impressive theoretical performance of 4.096 TFLOPS. The A380M also features a 4MB L2 cache, which helps to minimize latency and optimize memory access, leading to better overall performance. With a TDP of 35W, this GPU strikes a good balance between performance and power efficiency, making it suitable for use in a wide range of mobile devices. Overall, the Intel Arc A380M delivers strong performance for its class and is well-suited for both gaming and content creation tasks. Its combination of high clock speeds, ample memory, and efficient power usage make it a compelling option for anyone in need of a mobile GPU with solid performance capabilities. Whether you're a gamer, a digital artist, or a video editor, the A380M has the features and performance to meet your needs.

Basic

Label Name

Intel

Platform

Mobile

Launch Date

January 2023

Model Name

Arc A380M

Generation

Alchemist

Base Clock

1550MHz

Boost Clock

2000MHz

Bus Interface

MXM-A (3.1)

Memory Specifications

Memory Size

6GB

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.

96bit

Memory Clock

1937MHz

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.

186.0 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.

64.00 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.

128.0 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.

8.192 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.

1024 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.

4.014 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

L2 Cache

4MB

TDP

35W

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

3.0