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AMD Radeon PRO W7700 vs AMD Radeon RX 7700

AMD Radeon PRO W7700
Comparison separator
AMD Radeon RX 7700
AMD Radeon PRO W7700
AMD Radeon RX 7700

GPU Comparison Result

Below are the results of a comparison of AMD Radeon PRO W7700 and AMD Radeon RX 7700 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

AMD Radeon PRO W7700
AMD Radeon PRO W7700
AMD Radeon PRO W7700
  • Larger Memory Size: 16GB (16GB vs 12GB)
  • Higher Bandwidth: 576.0 GB/s (576.0 GB/s vs 432.0 GB/s)
  • Newer Launch Date: November 2023 (November 2023 vs January 2023)

Basic

AMD
Label Name
AMD
November 2023
Launch Date
January 2023
Desktop
Platform
Desktop
Radeon PRO W7700
Model Name
Radeon RX 7700
Radeon Pro Navi
Generation
Navi III
1900MHz
Base Clock
1900MHz
2600MHz
Boost Clock
2600MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
28,100 million
Transistors
Unknown
48
RT Cores
48
48
Compute Units
48
192
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.
192
TSMC
Foundry
TSMC
5 nm
Process Size
5 nm
RDNA 3.0
Architecture
RDNA 3.0

Memory Specifications

16GB
Memory Size
12GB
GDDR6
Memory Type
GDDR6
256bit
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.
192bit
2250MHz
Memory Clock
2250MHz
576.0 GB/s
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.
432.0 GB/s

Theoretical Performance

249.6 GPixel/s
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.
249.6 GPixel/s
499.2 GTexel/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.
499.2 GTexel/s
63.90 TFLOPS
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.
63.90 TFLOPS
998.4 GFLOPS
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.
998.4 GFLOPS
31.311 TFLOPS
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.
32.589 TFLOPS

Miscellaneous

3072
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.
3072
128 KB per Array
L1 Cache
128 KB per Array
2MB
L2 Cache
2MB
190W
TDP
200W
1.3
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
2.2
OpenCL Version
2.2
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
1x 8-pin
Power Connectors
1x 8-pin
96
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.
96
6.7
Shader Model
6.7
450W
Suggested PSU
550W

Benchmarks

FP32 (float) / TFLOPS
Radeon PRO W7700
31.311
Radeon RX 7700
32.589 +4%