AMD Instinct MI6
About GPU
The AMD Instinct MI6 GPU is a powerful and efficient professional-grade graphics processing unit designed for compute-intensive workloads. With a base clock of 1120MHz and a boost clock of 1233MHz, this GPU offers impressive performance for demanding tasks.
Equipped with 8GB of GDDR5 memory running at 1750MHz, the MI6 GPU provides ample memory bandwidth for handling large datasets and complex calculations. The 2304 shading units and 2MB of L2 cache further contribute to its high throughput capabilities, making it well-suited for parallel processing and deep learning applications.
One of the standout features of the AMD Instinct MI6 GPU is its relatively low TDP of 150W, which ensures efficient power consumption without sacrificing performance. This makes it an attractive option for data centers and other environments where energy efficiency is a priority.
With a theoretical performance of 5.682 TFLOPS, the MI6 GPU delivers the computational power needed for demanding workloads, such as scientific simulations, machine learning, and high-performance computing tasks.
Overall, the AMD Instinct MI6 GPU offers a compelling combination of performance, power efficiency, and memory bandwidth, making it a strong contender for professionals and organizations seeking a reliable solution for their compute-intensive workloads. Whether it's for research, data analysis, or artificial intelligence applications, the MI6 GPU's capabilities make it a valuable asset for accelerating data-driven insights and innovation.
Basic
Label Name
AMD
Platform
Professional
Launch Date
December 2016
Model Name
Radeon Instinct MI6
Generation
Radeon Instinct
Base Clock
1120MHz
Boost Clock
1233MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
Memory Type
GDDR5
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.
256bit
Memory Clock
1750MHz
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.
224.0 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.
39.46 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.
177.6 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.
5.682 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.
355.1 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.
5.796
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.
2304
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
150W
Benchmarks
FP32 (float)
Score
5.796
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS