AMD Radeon PRO W7600
About GPU
The AMD Radeon PRO W7600 GPU is an impressive graphics processing unit designed for desktop use. With a base clock of 1720MHz and a boost clock of 2440MHz, this GPU offers outstanding performance for a variety of professional applications. The 8GB of GDDR6 memory and a memory clock of 2250MHz ensure smooth and efficient operation, even when handling large datasets and complex visualizations.
One of the standout features of the Radeon PRO W7600 is its 2048 shading units, which allow for high-quality rendering and impressive visual effects. The 2MB of L2 cache further enhances the GPU's ability to handle demanding workloads with ease.
Despite its powerful performance, the Radeon PRO W7600 remains energy efficient with a TDP of 130W. This not only reduces power consumption but also helps maintain a cooler operating temperature, which is important for maintaining system stability during long rendering or processing tasks.
With a theoretical performance of 19.99 TFLOPS, the AMD Radeon PRO W7600 is well-suited for demanding professional workloads, including 3D rendering, video editing, and virtual reality content creation. Its robust features and high performance make it an excellent choice for professionals in industries such as architecture, engineering, and content creation.
Overall, the AMD Radeon PRO W7600 GPU offers exceptional performance, reliability, and energy efficiency, making it a top choice for professionals in need of a high-performance graphics solution for their desktop workstations.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2023
Model Name
Radeon PRO W7600
Generation
Radeon Pro Navi
Base Clock
1720MHz
Boost Clock
2440MHz
Bus Interface
PCIe 4.0 x8
Transistors
13,300 million
RT Cores
32
Compute Units
32
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
128
Foundry
TSMC
Process Size
6 nm
Architecture
RDNA 3.0
Memory Specifications
Memory Size
8GB
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.
128bit
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.
288.0 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.
156.2 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.
312.3 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.
39.98 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.
624.6 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.
19.59
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
128 KB per Array
L2 Cache
2MB
TDP
130W
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
Power Connectors
1x 6-pin
Shader Model
6.7
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
64
Suggested PSU
300W
Benchmarks
FP32 (float)
Score
19.59
TFLOPS
Blender
Score
1256
OpenCL
Score
81575
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OpenCL