Intel H3C XG310
About GPU
The Intel H3C XG310 GPU is a powerful graphics processing unit designed for desktop use. With a base clock speed of 900MHz and a boost clock speed of 1550MHz, this GPU offers fast and reliable performance for gaming, content creation, and other graphics-intensive tasks.
One of the standout features of the Intel H3C XG310 GPU is its generous 8GB of LPDDR4X memory, allowing for smooth and efficient multitasking and rendering of high-resolution graphics. The memory clock speed of 2133MHz further enhances the overall performance of the GPU, ensuring that it can handle even the most demanding workloads.
With 768 shading units and 1024KB of L2 cache, the Intel H3C XG310 GPU is capable of delivering stunning visual effects and smooth frame rates in modern games and applications. Its TDP of 300W may require a robust cooling solution, but it also allows the GPU to operate at high clock speeds without throttling, ensuring consistent performance over extended gaming sessions or rendering tasks.
The theoretical performance of 2.381 TFLOPS further solidifies the Intel H3C XG310 GPU as a reliable and capable graphics card for enthusiasts and professionals alike. Whether you're a gamer, a content creator, or a 3D designer, this GPU has the power and features to meet your needs.
Overall, the Intel H3C XG310 GPU offers impressive performance, robust memory capacity, and advanced features that make it a solid choice for desktop GPU upgrades. Its combination of high clock speeds, ample memory, and efficient shading units make it a standout option in its category. If you're in the market for a high-performance desktop GPU, the Intel H3C XG310 is definitely worth considering.
Basic
Label Name
Intel
Platform
Desktop
Launch Date
November 2020
Model Name
H3C XG310
Generation
H3C Graphics
Base Clock
900MHz
Boost Clock
1550MHz
Bus Interface
PCIe 3.0 x16
Transistors
Unknown
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
Foundry
Intel
Process Size
10 nm
Architecture
Generation 12.1
Memory Specifications
Memory Size
8GB
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.
37.20 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.
74.40 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.
4.762 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.
595.2 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.
2.429
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.
768
L2 Cache
1024KB
TDP
300W
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 (12_1)
Power Connectors
1x 8-pin
Shader Model
6.4
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
Suggested PSU
700W
Benchmarks
FP32 (float)
Score
2.429
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS