Home / GPU Comparison / AMD Radeon Pro WX 9100 or NVIDIA RTX 6000 Ada Generation: What's better?

AMD Radeon Pro WX 9100
vs
NVIDIA RTX 6000 Ada Generation

AMD Radeon Pro WX 9100
vs
NVIDIA RTX 6000 Ada Generation

GPU Comparison Result

Below are the results of a comparison of AMD Radeon Pro WX 9100 and NVIDIA RTX 6000 Ada Generation video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA RTX 6000 Ada Generation
NVIDIA RTX 6000 Ada Generation
NVIDIA RTX 6000 Ada Generation
  • Higher Boost Clock: 2505MHz (1500MHz vs 2505MHz)
  • Larger Memory Size: 48GB (16GB vs 48GB)
  • Higher Bandwidth: 960.0 GB/s (483.8 GB/s vs 960.0 GB/s)
  • More Shading Units: 18176 (4096 vs 18176)
  • Newer Launch Date: December 2022 (July 2017 vs December 2022)

Basic

AMD
Label Name
NVIDIA
July 2017
Launch Date
December 2022
Desktop
Platform
Desktop
Radeon Pro WX 9100
Model Name
RTX 6000 Ada Generation
Radeon Pro
Generation
Quadro Ada
1200MHz
Base Clock
915MHz
1500MHz
Boost Clock
2505MHz
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16
12,500 million
Transistors
76,300 million
-
RT Cores
142
64
Compute Units
-
-
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
568
256
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.
568
GlobalFoundries
Foundry
TSMC
14 nm
Process Size
4 nm
GCN 5.0
Architecture
Ada Lovelace

Memory Specifications

16GB
Memory Size
48GB
HBM2
Memory Type
GDDR6
2048bit
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.
384bit
945MHz
Memory Clock
2500MHz
483.8 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.
960.0 GB/s

Theoretical Performance

96.00 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.
481.0 GPixel/s
384.0 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.
1423 GTexel/s
24.58 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.
91.06 TFLOPS
768.0 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.
1423 GFLOPS
12.536 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.
89.239 TFLOPS

Miscellaneous

-
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
142
4096
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.
18176
16 KB (per CU)
L1 Cache
128 KB (per SM)
4MB
L2 Cache
96MB
230W
TDP
300W
1.2
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
2.1
OpenCL Version
3.0
4.6
OpenGL
4.6
12 (12_1)
DirectX
12 Ultimate (12_2)
-
CUDA
8.9
1x 6-pin + 1x 8-pin
Power Connectors
1x 16-pin
64
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.
192
6.4
Shader Model
6.7
550W
Suggested PSU
700W

Benchmarks

FP32 (float) / TFLOPS
Radeon Pro WX 9100
12.536
RTX 6000 Ada Generation
89.239 +612%
Blender
Radeon Pro WX 9100
640
RTX 6000 Ada Generation
11924 +1763%