AMD Instinct MI25
About GPU
The AMD Instinct MI25 GPU is a powerhouse for professional applications, offering impressive performance and efficiency for a range of compute-intensive tasks. With a base clock of 1400MHz and a boost clock of 1500MHz, this GPU delivers exceptional speed and responsiveness, making it well-suited for demanding workloads.
The 16GB of HBM2 memory and a memory clock of 852MHz ensure that the MI25 can handle large datasets and complex calculations with ease. The 4096 shading units and 4MB of L2 cache further contribute to its processing capabilities, allowing for parallelized operations and rapid data retrieval.
One of the standout features of the AMD Instinct MI25 GPU is its high theoretical performance of 12.29 TFLOPS, making it an excellent choice for tasks such as deep learning, scientific simulations, and financial modeling. Its TDP of 300W may be on the higher end, but the performance it offers more than justifies the power consumption.
Overall, the AMD Instinct MI25 GPU is a top-notch option for professionals in need of a reliable and powerful computing solution. Whether used for research, data analysis, or content creation, this GPU stands out for its exceptional performance and robust feature set. If you require a high-performance GPU for professional applications, the AMD Instinct MI25 is certainly worth considering.
Basic
Label Name
AMD
Platform
Professional
Launch Date
June 2017
Model Name
Radeon Instinct MI25
Generation
Radeon Instinct
Base Clock
1400MHz
Boost Clock
1500MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
16GB
Memory Type
HBM2
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.
2048bit
Memory Clock
852MHz
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.
436.2 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.
96.00 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.
384.0 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.
24.58 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.
768.0 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.
12.536
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.
4096
L1 Cache
16 KB (per CU)
L2 Cache
4MB
TDP
300W
Benchmarks
FP32 (float)
Score
12.536
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS