Intel Xe DG1
About GPU
The Intel Xe DG1 GPU is an entry-level desktop graphics processing unit that aims to provide a good balance of performance and power efficiency. With a base clock speed of 900MHz and a boost clock speed of 1550MHz, this GPU has enough power to handle most casual gaming and graphic-intensive tasks. Its 4GB of LPDDR4X memory with a clock speed of 2133MHz provides adequate memory bandwidth for smooth performance.
The Xe DG1 GPU boasts 640 shading units and 1024KB of L2 cache, which allows for efficient processing of complex graphics. With a thermal design power (TDP) of 30W, this GPU stays relatively cool and energy-efficient during operation. The theoretical performance of 1.984 TFLOPS indicates that it can handle modern games and applications with ease, making it a suitable choice for budget-conscious consumers.
One potential drawback of the Xe DG1 GPU is its relatively low memory size, which may limit its performance in some demanding games and applications. Additionally, while it may not be the most powerful GPU on the market, it offers a good balance of performance and power efficiency for its target audience.
In conclusion, the Intel Xe DG1 GPU is a solid option for those looking for an affordable and energy-efficient graphics solution for their desktop. With its decent clock speeds, memory bandwidth, and shading units, it is capable of handling most everyday tasks while remaining power-efficient. However, those with more demanding performance needs may need to look for a higher-end option.
Basic
Label Name
Intel
Platform
Desktop
Model Name
Xe DG1
Generation
Xe Graphics
Base Clock
900MHz
Boost Clock
1550MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
4GB
Memory Type
LPDDR4X
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.
128bit
Memory Clock
2133MHz
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.
68.26 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.
31.00 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.
62.00 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.
3.968 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.
496.0 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.
1.944
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.
640
L2 Cache
1024KB
TDP
30W
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
1.944
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS