AMD Radeon Instinct MI50
About GPU
The AMD Radeon Instinct MI50 GPU is a powerful professional graphics card that is designed specifically for high-performance computing and data center applications. With a base clock speed of 1200MHz and a boost clock speed of 1746MHz, this GPU offers exceptional processing power for complex workloads.
Equipped with 16GB of HBM2 memory and a memory clock speed of 1000MHz, the MI50 is capable of handling large datasets and memory-intensive tasks with ease. The card also features 3840 shading units and 4MB of L2 cache, further enhancing its ability to handle demanding workloads.
One of the standout features of the Radeon Instinct MI50 is its impressive theoretical performance, delivering 13.142 TFLOPS of processing power. This makes it well-suited for deep learning, artificial intelligence, and other compute-intensive tasks.
In terms of power efficiency, the MI50 has a TDP of 300W, which is relatively high but expected given its performance capabilities. Despite the power consumption, the MI50's performance per watt is still impressive compared to other GPUs in its class.
Overall, the AMD Radeon Instinct MI50 GPU is a top-notch option for professionals and data center operators who require high-performance computing capabilities. Its combination of high clock speeds, large memory capacity, and efficient processing power make it an excellent choice for a wide range of computationally demanding applications.
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
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
13.142
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS