AMD Radeon PRO W7800
About GPU
The AMD Radeon PRO W7800 GPU is a powerhouse that is designed for professional use, offering high levels of performance and reliability for demanding tasks such as 3D rendering, video editing, and CAD work. With a base clock of 1855MHz and a boost clock of 2499MHz, the W7800 provides plenty of processing power for even the most complex projects. The 32GB of GDDR6 memory and a memory clock of 2250MHz ensure that large datasets can be handled with ease, and the 6MB L2 cache helps to minimize latency for smooth operation.
One of the standout features of the W7800 is its 4480 shading units, which allow for intricate and detailed rendering at high resolutions. This makes it well-suited for content creation and design work where image quality is paramount. With a TDP of 260W, the W7800 is a relatively power-hungry card, but the theoretical performance of 44.78 TFLOPS more than justifies the power consumption.
In real-world use, the W7800 delivers stellar performance, effortlessly handling complex tasks and providing smooth, responsive performance. Its robust and reliable design ensures that it can cope with the demands of professional use, making it a solid investment for anyone in need of high-performance graphics for their work. Overall, the AMD Radeon PRO W7800 GPU is a top-tier choice for professionals who require high levels of performance and reliability for their creative and technical work.
Basic
Label Name
AMD
Platform
Professional
Launch Date
April 2023
Model Name
Radeon PRO W7800
Generation
Radeon Pro Navi
Base Clock
1855MHz
Boost Clock
2499MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
32GB
Memory Type
GDDR6
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
2250MHz
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.
576.0 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.
319.9 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.
699.7 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.
89.56 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.
1399 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.
45.676
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.
4480
L1 Cache
256 KB per Array
L2 Cache
6MB
TDP
260W
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.
1.3
OpenCL Version
2.2
Benchmarks
FP32 (float)
Score
45.676
TFLOPS
Blender
Score
2554
OpenCL
Score
147444
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OpenCL