Intel Arctic Sound 1T
About GPU
The Intel Arctic Sound 1T GPU is a powerful and efficient professional-grade graphics processing unit that delivers exceptional performance for a variety of tasks. With a memory size of 16GB and memory type of HBM2e, this GPU is well-equipped to handle large and complex datasets with ease. The memory clock of 1200MHz ensures quick access to data, allowing for smooth and seamless operation.
One of the standout features of the Arctic Sound 1T GPU is the impressive 6144 shading units, which enable high-quality rendering and image processing. Additionally, the 8MB L2 cache contributes to faster data retrieval and processing, further enhancing overall performance.
Despite its high performance, the Arctic Sound 1T GPU is also designed with a reasonable TDP of 350W, ensuring efficient power consumption and minimal heat generation. This makes it a practical choice for professional use, where power efficiency and thermal management are crucial factors.
With a theoretical performance of 11.06 TFLOPS, the Intel Arctic Sound 1T GPU excels in handling demanding computational workloads, such as 3D rendering, data analytics, and scientific simulations. Its robust capabilities make it a valuable asset for professionals in fields such as design, engineering, and content creation.
Overall, the Intel Arctic Sound 1T GPU is a highly capable and reliable solution for professional graphics processing, offering exceptional performance, efficient power usage, and reliability for a wide range of applications.
Basic
Label Name
Intel
Platform
Professional
Launch Date
January 2021
Model Name
Arctic Sound 1T
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.
86.40 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.
172.8 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.
22.12 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.
2.765 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.
10.839
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.
6144
L2 Cache
8MB
TDP
350W
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.
N/A
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
10.839
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS