Intel Arc A780
The Intel Arc A780 GPU is a highly capable graphics card designed for desktop platforms. With a base clock of 2200MHz and a boost clock of 2200MHz, this GPU offers powerful performance for a wide range of tasks, including gaming, content creation, and more. The inclusion of 16GB of GDDR6X memory and a memory clock of 1093MHz ensures smooth and responsive operation, even when handling demanding applications or high-resolution gaming.
One standout feature of the Intel Arc A780 GPU is its 4096 shading units, which contribute to its impressive theoretical performance of 18.02 TFLOPS. This level of performance makes it well-suited for handling cutting-edge graphics and compute workloads with ease.
Furthermore, the 16MB of L2 cache and a TDP of 200W indicate that the A780 is designed to efficiently process large amounts of data while keeping power consumption in check. This makes it an attractive option for enthusiasts and professionals who prioritize both performance and power efficiency.
Overall, the Intel Arc A780 GPU is a compelling option for anyone in need of a high-performance graphics solution for desktop applications. With its impressive specifications and robust performance capabilities, the A780 has the potential to meet the needs of a wide range of users, from gamers to content creators and beyond.
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Basic
Label Name
Intel
Platform
Desktop
Model Name
Arc A780
Generation
Alchemist
Base Clock
2200MHz
Boost Clock
2200MHz
Bus Interface
PCIe 4.0 x16
Transistors
21,700 million
RT Cores
32
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
512
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
256
Foundry
TSMC
Process Size
6 nm
Architecture
Generation 12.7
Memory Specifications
Memory Size
16GB
Memory Type
GDDR6X
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.
256bit
Memory Clock
1093MHz
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.
559.6 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.
281.6 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.
563.2 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.
36.04 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.
18.38
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.
4096
L2 Cache
16MB
TDP
200W
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
Power Connectors
2x 8-pin
Shader Model
6.6
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
128
Suggested PSU
550W
Benchmarks
FP32 (float)
Score
18.38
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS