AMD Radeon 890M

AMD Radeon 890M

About GPU

The AMD Radeon 890M GPU is a powerful and efficient integrated graphics solution that delivers impressive performance for both gaming and professional applications. With a base clock speed of 400 MHz and a boost clock speed of 2900 MHz, it offers fast and responsive graphics rendering, making it a great choice for demanding tasks such as gaming, video editing, and 3D rendering. The GPU features 1024 shading units, providing excellent parallel processing capabilities for handling complex graphics workloads. Additionally, it is equipped with 2 MB of L2 cache, which helps improve memory access speeds and overall performance. The GPU's 15W TDP (Thermal Design Power) means it can deliver high performance without consuming excessive power or generating excessive heat, making it suitable for use in thin and light laptops. One of the standout features of the AMD Radeon 890M GPU is its theoretical performance of 11.642 TFLOPS (trillion floating point operations per second), showcasing its ability to handle demanding graphics tasks with ease. The GPU also offers system shared memory, allowing it to dynamically allocate memory based on the application's needs. Overall, the AMD Radeon 890M GPU is a compelling choice for users who require a high-performance integrated graphics solution. Its impressive clock speeds, shading units, and theoretical performance make it a versatile option for a wide range of graphics-intensive tasks. Whether you're a casual gamer, a content creator, or a professional designer, this GPU has the capabilities to meet your demanding graphics needs.

Basic

Label Name
AMD
Platform
Integrated
Launch Date
July 2024
Model Name
Radeon 890M
Generation
Navi III IGP
Base Clock
400 MHz
Boost Clock
2900 MHz
Bus Interface
PCIe 4.0 x8

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
System Shared
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.
92.80 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.
185.6 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.
23.76 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.
742.4 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.
11.642 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.
1024
L1 Cache
128 KB per Array
L2 Cache
2 MB
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
2.1

Benchmarks

FP32 (float)
Score
11.642 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
11.789 +1.3%
11.642
11.567 -0.6%