Intel Arctic Sound M
About GPU
The Intel Arctic Sound M GPU is a high-performance professional graphics card that offers impressive specs and capabilities. With a memory size of 16GB and memory type of HBM2e, this GPU provides ample memory for handling complex professional workloads. The 1200MHz memory clock ensures efficient data processing, while the 8192 shading units allow for smooth and detailed rendering of graphics.
One of the standout features of the Arctic Sound M GPU is its 8MB L2 cache, which contributes to enhanced processing speed and overall performance. With a TDP of 500W, this GPU is designed to deliver substantial power for demanding tasks, making it well-suited for professional applications such as content creation, 3D rendering, and scientific simulations.
In terms of performance, the Arctic Sound M GPU boasts a theoretical performance of 14.75 TFLOPS, showcasing its ability to handle intensive computational workloads with ease. This level of performance makes it a compelling choice for professionals who require top-tier graphics capabilities.
Overall, the Intel Arctic Sound M GPU is a formidable option for professionals in need of a high-performance graphics solution. Its robust specifications, impressive memory capacity, and exceptional theoretical performance make it well-equipped to handle the demands of professional workloads. Whether used for design, visualization, or simulation, this GPU offers the performance and capabilities to meet the needs of professionals in various fields.
Basic
Label Name
Intel
Platform
Professional
Launch Date
January 2022
Model Name
Arctic Sound M
Generation
Xe Graphics
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
16GB
Memory Type
HBM2e
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.
4096bit
Memory Clock
1200MHz
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.
1229 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.
115.2 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.
230.4 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.
29.49 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.
3.686 TFLOPS
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.
15.045
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.
8192
L2 Cache
8MB
TDP
500W
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
Benchmarks
FP32 (float)
Score
15.045
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS