AMD Instinct MI50
About GPU
The AMD Instinct MI50 GPU is a powerful professional-grade graphics processing unit that is designed to handle complex workloads and demanding applications. With a base clock speed of 1200MHz and a boost clock speed of 1746MHz, the MI50 offers excellent performance and efficiency for a wide range of professional applications.
One of the standout features of the MI50 is its 16GB of high-bandwidth memory (HBM2), which allows for faster data processing and improved overall performance. The memory clock speed of 1000MHz further enhances the GPU's ability to handle large datasets and complex calculations.
With 3840 shading units and 4MB of L2 cache, the MI50 is capable of delivering exceptional parallel processing power, making it well-suited for tasks such as machine learning, data analytics, and scientific simulations.
Despite its impressive performance capabilities, the MI50 manages to maintain a relatively low TDP of 300W, making it a more energy-efficient option compared to other high-performance GPUs on the market.
Overall, the AMD Instinct MI50 GPU offers exceptional theoretical performance of 13.41 TFLOPS, making it a top choice for professionals in need of a reliable and powerful GPU for their work. Whether you are working in AI, deep learning, or other data-intensive fields, the MI50 is a solid option that delivers on both performance and efficiency.
Basic
Label Name
AMD
Platform
Professional
Launch Date
November 2018
Model Name
Radeon Instinct MI50
Generation
Radeon Instinct
Base Clock
1200MHz
Boost Clock
1746MHz
Bus Interface
PCIe 4.0 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.
4096bit
Memory Clock
1000MHz
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.
1024 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.
111.7 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.
419.0 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.
26.82 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.
6.705 TFLOPS
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.
13.142
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.
3840
L1 Cache
16 KB (per CU)
L2 Cache
4MB
TDP
300W
Benchmarks
FP32 (float)
Score
13.142
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS