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Intel Arc A350

Intel Arc A350

Intel Arc A350 is a Desktop video accelerator from Intel. It began to be released in January 2022. The GPU has a boost frequency of 2000MHz. It also has a memory frequency of 1937MHz. Its characteristics, as well as benchmark results, are presented in more detail below.

Top Desktop GPU: 294

Basic

Label Name
Intel
Platform
Desktop
Launch Date
January 2022
Model Name
Arc A350
Generation
Alchemist
Base Clock
2000MHz
Boost Clock
2000MHz
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.
768
Transistors
7,200 million
RT Cores
6
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.
96
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.
48
L2 Cache
4MB
Bus Interface
PCIe 4.0 x8
Foundry
TSMC
Process Size
6 nm
Architecture
Generation 12.7
TDP
25W

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
1937MHz
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.
124.0 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.
48.00 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.
96.00 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.
6.144 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.
768.0 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.
3.196 TFlops

Miscellaneous

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)
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.
24
Shader Model
6.6
Suggested PSU
200W

FP32 (float)

3.196 TFlops

3DMark Time Spy

3239

Compared to Other GPU

0%
3%
38%
Better then 0% GPU over the past year
Better then 3% GPU over the past 3 years
Better then 38% GPU

SiliconCat Rating

294
Ranks 294 among Desktop GPU on our website
617
Ranks 617 among all GPU on our website
FP32 (float)
3.337 TFlops
Radeon R9 285
AMD, September 2014
3.289 TFlops
Arc A350
Intel, January 2022
3.196 TFlops
FirePro W7170M
AMD, October 2015
3.081 TFlops
GeForce GTX 1650 TU106
NVIDIA, June 2020
2.964 TFlops
3DMark Time Spy
GeForce GTX 1660 Ti
NVIDIA, February 2019
6135
Radeon Pro W6600
AMD, June 2021
4410
Arc A350
Intel, January 2022
3239
GeForce MX450 30.5W 10Gbps
NVIDIA, August 2020
2082
GeForce GTX 660
NVIDIA, September 2012
1259