AMD FirePro M6000

AMD FirePro M6000

About GPU

The AMD FirePro M6000 GPU is a solid choice for users looking for a mobile workstation GPU with reliable performance. With a memory size of 2GB and GDDR5 memory type, it offers decent memory bandwidth and memory clock speed of 1000MHz, allowing for smooth and efficient data processing. The 640 shading units and 256KB L2 cache contribute to its overall performance, making it suitable for demanding graphics and computing tasks. One of the notable features of the AMD FirePro M6000 GPU is its low TDP of 43W, making it an energy-efficient option for laptops and mobile workstations. This is especially beneficial for users who prioritize battery life and portability without sacrificing performance. In terms of performance, the AMD FirePro M6000 GPU offers a theoretical performance of 1.024 TFLOPS, which is sufficient for various professional applications such as CAD, 3D modeling, and content creation. It provides reliable performance for graphics-intensive workloads and ensures smooth operation even when dealing with complex tasks. Overall, the AMD FirePro M6000 GPU is a reliable and efficient mobile workstation GPU that delivers solid performance for professional users. Its balance of power efficiency, memory bandwidth, and shading units make it a suitable choice for professionals in need of a capable GPU for their mobile workstations. Whether it's for design, animation, or engineering, the AMD FirePro M6000 GPU is a solid option for users seeking a reliable and efficient mobile workstation GPU.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
July 2012
Model Name
FirePro M6000
Generation
FirePro Mobile
Bus Interface
MXM-B (3.0)

Memory Specifications

Memory Size
2GB
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.
128bit
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.
64.00 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.
12.80 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.
32.00 GTexel/s
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.
64.00 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.
1.004 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.
640
L1 Cache
16 KB (per CU)
L2 Cache
256KB
TDP
43W
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.
1.2
OpenCL Version
1.2

Benchmarks

FP32 (float)
Score
1.004 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
1.007 +0.3%
1.007 +0.3%
1.004 -0%