Intel Iris Xe Graphics G7 96EU
About GPU
The Intel Iris Xe Graphics G7 96EU GPU is an integrated graphics solution that has managed to impress with its performance and power efficiency. With a base clock of 300MHz and a boost clock of 1100MHz, this GPU delivers smooth and seamless graphics rendering for a variety of tasks, including gaming, content creation, and multimedia consumption.
One of the standout features of the Intel Iris Xe Graphics G7 96EU GPU is its impressive 3DMark Time Spy score of 1294, showcasing its ability to handle modern 3D games and applications with relative ease. The 768 shading units and 1024KB of L2 cache further contribute to its strong performance, allowing for crisp and detailed visual output.
Despite being an integrated solution with system shared memory, the Iris Xe Graphics G7 96EU GPU delivers a commendable theoretical performance of 1.69 TFLOPs, making it suitable for a wide range of tasks without compromising on efficiency. Additionally, with a TDP of 15W, this GPU strikes a good balance between performance and power consumption, making it well-suited for laptops and compact desktop systems.
Overall, the Intel Iris Xe Graphics G7 96EU GPU is a compelling option for users who require a capable integrated graphics solution. Its strong performance, power efficiency, and compatibility with a variety of applications make it a worthy choice for anyone in need of solid graphics performance in a compact and energy-efficient package.
Basic
Label Name
Intel
Platform
Integrated
Launch Date
September 2020
Model Name
Iris Xe Graphics G7 96EU
Generation
HD Graphics-M
Base Clock
300MHz
Boost Clock
1100MHz
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.
26.40 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.
52.80 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.
3.379 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.
422.4 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.
1.656
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
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
1.656
TFLOPS
3DMark Time Spy
Score
1268
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy