AMD FirePro S7100X
About GPU
The AMD FirePro S7100X GPU is a powerful and efficient graphics processing unit designed for mobile platforms. With a memory size of 8GB and a memory type of GDDR5, this GPU offers ample memory and fast data transfer speeds, making it suitable for professional graphic design, video editing, and 3D rendering.
The 1250MHz memory clock ensures smooth and responsive performance, while the 2048 shading units and 512KB L2 cache contribute to the GPU's ability to handle complex and demanding graphics workloads. The TDP of 100W indicates that the GPU strikes a good balance between performance and power efficiency, making it suitable for use in mobile workstations or laptops.
The theoretical performance of 2.97 TFLOPS further underscores the S7100X's capabilities, allowing it to handle high-resolution graphics and compute-intensive tasks with ease. Whether it's for CAD design, content creation, or scientific simulations, this GPU can deliver the performance needed for professional applications.
Overall, the AMD FirePro S7100X GPU is a strong contender in the mobile graphics market. Its combination of memory size, memory type, shading units, and theoretical performance makes it a compelling choice for professionals who require reliable and powerful graphics processing in a mobile form factor. Whether you're a digital artist, video editor, or engineer, this GPU has the specs to support your demanding workload.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
May 2016
Model Name
FirePro S7100X
Generation
FirePro Mobile
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.
23.20 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.
92.80 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.
2.970 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.
185.6 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.
2.911
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.
2048
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
100W
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
2.911
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS