RTX 6000 Ada
NVIDIA RTX 6000 Ada vs AMD Radeon RX 7990 XTX
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the NVIDIA RTX 6000 Ada and AMD Radeon RX 7990 XTX video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
NVIDIA
AMD
Launch Date
December 2022
-
Platform
Desktop
Desktop
Model Name
RTX 6000 Ada
Radeon RX 7990 XTX
Generation
Quadro Ada
Navi III
Base Clock
2175MHz
2500MHz
Boost Clock
2535MHz
3599MHz
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
6144
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
-
Transistors
76,300 million
57,700 million
RT Cores
142
96
Compute Units
-
96
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
-
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
384
L1 Cache
128 KB (per SM)
256 KB per Array
L2 Cache
96MB
6MB
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x16
Foundry
TSMC
TSMC
Process Size
4 nm
5 nm
Architecture
Ada Lovelace
RDNA 3.0
TDP
300W
405W
Memory Specifications
Memory Size
48GB
24GB
Memory Type
GDDR6
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.
384bit
384bit
Memory Clock
2000MHz
3000MHz
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.
768.0 GB/s
1152 GB/s
Display and Media
Outputs
4x DisplayPort 1.4a
1x HDMI 2.1a
2x DisplayPort 2.1
1x USB Type-C
2x DisplayPort 2.1
1x USB Type-C
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.
486.7 GPixel/s
691.0 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.
1440 GTexel/s
1382 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.
92.15 TFLOPS
176.9 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.
1440 GFLOPS
2.764 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.
85.873
TFlops
90.21
TFlops
Miscellaneous
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
1.3
OpenCL Version
3.0
2.2
OpenGL
4.6
4.6
CUDA
8.9
-
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
Power Connectors
1x 16-pin
3x 8-pin
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
192
Shader Model
6.6
6.7
Suggested PSU
700W
800W
Advantages
RTX 6000 Ada
- More Shading Units: 18176 (18176 vs 6144)
- Larger Memory Size: 48GB (48GB vs 24GB)
Radeon RX 7990 XTX
- Higher Boost Clock: 3599MHz (2535MHz vs 3599MHz)
- Higher Bandwidth: 1152 GB/s (768.0 GB/s vs 1152 GB/s)
FP32 (float)
RTX 6000 Ada
85.873
TFlops
Radeon RX 7990 XTX
+5%
90.21
TFlops
SiliconCat Rating
20
Ranks 20 among Desktop GPU on our website
25
Ranks 25 among all GPU on our website
16
Ranks 16 among Desktop GPU on our website
19
Ranks 19 among all GPU on our website
Radeon RX 7990 XTX
