Intel Arc Pro A40
About GPU
The Intel Arc Pro A40 is a new addition to the desktop GPU market and it brings some impressive specs to the table. With a base clock of 1500MHz and a boost clock of 1700MHz, this GPU offers smooth and fast performance for a variety of applications, including gaming, content creation, and more.
The 6GB of GDDR6 memory and a memory clock of 2000MHz ensure that the Arc Pro A40 can handle even the most demanding tasks with ease. With 1024 shading units and 4MB of L2 cache, this GPU is well-equipped to handle complex graphics workloads.
One of the most impressive aspects of the Intel Arc Pro A40 is its power efficiency. With a TDP of just 50W, this GPU is a great choice for users who want high performance without sacrificing energy efficiency. Despite its low power consumption, the Arc Pro A40 still delivers an impressive theoretical performance of 3.482 TFLOPS, making it suitable for a wide range of tasks.
Overall, the Intel Arc Pro A40 is a solid choice for anyone in need of a powerful, efficient, and versatile GPU. Whether you're a gamer, content creator, or professional working with graphics-intensive applications, the Arc Pro A40 has the performance and features to meet your needs. With its competitive specs and impressive power efficiency, the Arc Pro A40 is a worthy competitor in the desktop GPU market.
Basic
Label Name
Intel
Platform
Desktop
Launch Date
August 2022
Model Name
Arc Pro A40
Generation
Alchemist
Base Clock
1500MHz
Boost Clock
1700MHz
Bus Interface
PCIe 4.0 x8
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
2000MHz
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.
192.0 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.
54.40 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.
108.8 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.
6.963 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.
870.4 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.
3.552
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
50W
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
3.552
TFLOPS
OctaneBench
Score
403
Compared to Other GPU
FP32 (float)
/ TFLOPS
OctaneBench