AMD FirePro W7100
About GPU
The AMD FirePro W7100 GPU is a reliable and powerful graphics card that is well-suited for professional users in a desktop environment. With a substantial 8GB of GDDR5 memory, a memory clock speed of 1250MHz, and 1792 shading units, this GPU is capable of handling demanding professional applications with ease.
One of the standout features of the FirePro W7100 is its impressive theoretical performance of 3.297 TFLOPS. This level of performance allows users to work efficiently with complex 3D rendering, video editing, and other graphics-intensive tasks without experiencing any lag or slowdown.
Additionally, the GPU's 150W TDP ensures that it can handle heavy workloads without overheating or causing performance issues. The 512KB L2 cache also contributes to the card's overall smooth operation and responsiveness.
In terms of compatibility, the FirePro W7100 is certified to work with a wide range of professional applications, making it a reliable choice for professionals in industries such as architecture, engineering, and design.
Overall, the AMD FirePro W7100 GPU is a solid choice for professionals who require a high-performing, reliable graphics card for their desktop setup. Its impressive memory size, clock speed, shading units, and theoretical performance make it well-equipped to handle the demands of professional workflows.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2014
Model Name
FirePro W7100
Generation
FirePro
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
1250MHz
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.
160.0 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.
29.44 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.
103.0 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.
3.297 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.
206.1 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.
3.231
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.
1792
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
150W
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
2.0
Benchmarks
FP32 (float)
Score
3.231
TFLOPS
Vulkan
Score
27256
OpenCL
Score
25000
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL