ATI FirePro V7900 SDI
About GPU
The ATI FirePro V7900 SDI GPU is a powerful graphics processing unit designed for professional use in desktop workstations. With a memory size of 2GB and GDDR5 memory type, this GPU provides adequate memory and bandwidth for handling complex computational tasks and large datasets. The high memory clock of 1250MHz ensures efficient data processing and quick access to stored information.
One of the standout features of the ATI FirePro V7900 SDI GPU is its impressive 1280 shading units, allowing for high-quality rendering and smooth visual output. Additionally, the 512KB L2 cache contributes to faster data retrieval and processing, further enhancing the overall performance of the GPU.
With a TDP of 150W, the ATI FirePro V7900 SDI GPU delivers high performance while remaining energy efficient. This makes it suitable for sustained, intensive workloads without sacrificing power efficiency.
The theoretical performance of 1.856 TFLOPS highlights the GPU's capability to handle demanding graphics tasks and compute-intensive applications with ease. This level of performance makes the ATI FirePro V7900 SDI GPU well-suited for professional applications such as computer-aided design, video editing, and 3D rendering.
Overall, the ATI FirePro V7900 SDI GPU is a reliable and high-performing graphics solution for professionals who require top-notch computational power and visual fidelity in their work. Its robust specifications and impressive performance make it a valuable asset for demanding graphics and compute workloads.
Basic
Label Name
ATI
Platform
Desktop
Launch Date
May 2011
Model Name
FirePro V7900 SDI
Generation
FirePro
Bus Interface
PCIe 2.0 x16
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.
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.
58.00 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.
464.0 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.
1.819
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.
1280
L1 Cache
8 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.
N/A
OpenCL Version
1.2
Benchmarks
FP32 (float)
Score
1.819
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS