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Intel Arc A350M

About GPU

The Intel Arc A350M is a mobile GPU that delivers impressive performance for gaming and content creation. With a base clock of 300MHz and a boost clock of 1150MHz, this GPU provides smooth and responsive gameplay for a wide range of titles. The 4GB of GDDR6 memory and a memory clock of 1750MHz ensure that the A350M can handle demanding graphics tasks with ease. The A350M features 768 shading units and 4MB of L2 cache, allowing it to efficiently render complex images and textures. With a thermal design power of 25W, this GPU strikes a good balance between performance and power efficiency, making it suitable for thin and light laptops. In terms of performance, the A350M is capable of delivering up to 1.766 TFLOPS, making it suitable for 1080p gaming and multimedia content creation. Whether you're editing videos, rendering 3D models, or playing the latest games, the A350M has the muscle to handle it all. Overall, the Intel Arc A350M is a solid choice for users who want a capable and efficient GPU for their mobile computing needs. With its strong performance and efficient power usage, the A350M is a compelling option for gamers and content creators alike. Whether you're a casual gamer or a professional designer, the A350M has the features and performance to meet your needs.

Basic

Label Name

Intel

Platform

Mobile

Launch Date

March 2022

Model Name

Arc A350M

Generation

Alchemist

Base Clock

300MHz

Boost Clock

1150MHz

Bus Interface

PCIe 4.0 x8

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

1750MHz

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.

112.0 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.

27.60 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.

55.20 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.

3.533 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.

441.6 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.

1.801 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.

768

L2 Cache

4MB

TDP

25W

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