Intel UHD Graphics 64EU
About GPU
The Intel UHD Graphics 64EU GPU is an integrated graphics solution designed for use in ultrabooks, 2-in-1 laptops, and other thin and light devices. With a base clock speed of 300MHz and a boost clock speed of 1400MHz, this GPU offers solid performance for everyday computing tasks and light gaming.
The 64 Execution Units (EU) and 512 shading units ensure smooth and responsive graphics performance, making it suitable for casual gaming and multimedia consumption. The GPU features a 1024KB L2 cache and system shared memory, ensuring fast access to data and efficient multitasking capabilities.
One of the key advantages of the Intel UHD Graphics 64EU GPU is its low power consumption, with a Thermal Design Power (TDP) of just 45W. This makes it an ideal choice for mobile devices, offering a balance of performance and energy efficiency.
In terms of theoretical performance, the GPU is capable of delivering up to 1.434 TFLOPS, which is impressive for an integrated graphics solution.
Overall, the Intel UHD Graphics 64EU GPU offers a good balance of performance, power efficiency, and affordability. While it may not be suitable for demanding gaming or professional graphics workloads, it is well-suited for everyday computing tasks and light gaming, making it a suitable choice for thin and light laptops and ultrabooks.
Basic
Label Name
Intel
Platform
Integrated
Launch Date
January 2022
Model Name
UHD Graphics 64EU
Generation
HD Graphics-M
Base Clock
300MHz
Boost Clock
1400MHz
Bus Interface
Ring Bus
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.
32
Foundry
Intel
Process Size
10 nm
Architecture
Generation 12.2
Memory Specifications
Memory Size
System Shared
Memory Type
System Shared
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.
System Shared
Memory Clock
SystemShared
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.
System Dependent
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.
22.40 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.
44.80 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.
2.867 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.
358.4 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.
1.405
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.
512
L2 Cache
1024KB
TDP
45W
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)
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.
16
Benchmarks
FP32 (float)
Score
1.405
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS