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Intel Arc A370M

About GPU

The Intel Arc A370M is a new entry into the mobile GPU market, and it comes packed with some impressive specs. With a base clock of 300MHz and a boost clock of 1550MHz, the A370M offers plenty of power for gaming and other graphics-intensive tasks. The 4GB of GDDR6 memory and a memory clock of 1750MHz also contribute to its overall performance, while a TDP of 35W ensures that it won't drain your laptop's battery too quickly. With 1024 shading units and 4MB of L2 cache, the A370M is capable of handling a wide range of graphics tasks, from gaming to video editing. Its theoretical performance of 3.174 TFLOPS and a 3DMark Time Spy score of 3421 further demonstrate its capabilities. In real-world usage, the A370M delivers smooth, lag-free gaming performance on a variety of modern titles. It also handles video editing and rendering tasks with ease, making it a versatile option for both gamers and content creators. The A370M also supports modern features like ray tracing and AI-enhanced performance, further enhancing its value. Overall, the Intel Arc A370M is a strong entry into the mobile GPU market, offering impressive performance and a solid feature set. Whether you're a gamer or a content creator, the A370M is definitely worth considering for your next laptop.

Basic

Label Name

Intel

Platform

Mobile

Launch Date

March 2022

Model Name

Arc A370M

Generation

Alchemist

Base Clock

300MHz

Boost Clock

1550MHz

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.

49.60 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.

99.20 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.

6.349 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.

793.6 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.

3.237 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