Intel UHD Graphics 64EU Mobile
About GPU
The Intel UHD Graphics 64EU Mobile GPU is an integrated graphics solution designed for use in laptops and other mobile devices. With a base clock of 300MHz and a boost clock of 1250MHz, this GPU provides a decent level of performance for its intended use case. The 64 execution units and 512 shading units ensure smooth graphics rendering for most everyday tasks and light gaming.
One of the key features of the Intel UHD Graphics 64EU Mobile GPU is its low power consumption, with a thermal design power (TDP) of just 15W. This makes it an excellent choice for thin and light laptops where battery life is a priority.
In terms of memory, the GPU utilizes system shared memory, which may limit its performance in more demanding applications. However, for everyday use and casual gaming, the shared memory configuration should be sufficient.
With a theoretical performance of 1.28 TFLOPS, the Intel UHD Graphics 64EU Mobile GPU offers capable graphics processing for mainstream tasks. It may struggle with more graphically demanding games and applications, but for everyday productivity and light gaming, it should perform admirably.
Overall, the Intel UHD Graphics 64EU Mobile GPU is a solid integrated graphics solution for laptops and mobile devices. Its low power consumption, decent performance, and support for modern graphics APIs make it a suitable choice for budget and mid-range laptops. However, for users with more demanding graphics needs, a dedicated GPU may be necessary.
Basic
Label Name
Intel
Platform
Integrated
Launch Date
January 2023
Model Name
UHD Graphics 64EU Mobile
Generation
HD Graphics-M
Base Clock
300MHz
Boost Clock
1250MHz
Bus Interface
Ring Bus
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.
20.00 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.
40.00 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.
2.560 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.
1.306
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
15W
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
1.306
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS