Home / GPU Comparison / NVIDIA RTX TITAN Ada or AMD Radeon RX 7990 XTX: What's better?

NVIDIA RTX TITAN Ada

vs

AMD Radeon RX 7990 XTX

GPU Comparison Result

Below are the results of a comparison of NVIDIA RTX TITAN Ada and AMD Radeon RX 7990 XTX video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA RTX TITAN Ada

Larger Memory Size: 48GB (48GB vs 24GB)
More Shading Units: 18432 (18432 vs 6144)

AMD Radeon RX 7990 XTX

Higher Boost Clock: 3599MHz (2520MHz vs 3599MHz)

Basic

NVIDIA

Label Name

AMD

January 2023

Launch Date

Desktop

Platform

Desktop

RTX TITAN Ada

Model Name

Radeon RX 7990 XTX

GeForce 40

Generation

Navi III

2235MHz

Base Clock

2500MHz

2520MHz

Boost Clock

3599MHz

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

Transistors

57,700 million

RT Cores

Compute Units

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.

384

Foundry

TSMC

Process Size

5 nm

Architecture

RDNA 3.0

Memory Specifications

48GB

Memory Size

24GB

GDDR6X

Memory Type

GDDR6

384bit

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

1500MHz

Memory Clock

3000MHz

1152 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.

1152 GB/s

Display and Media

Outputs

1x HDMI 2.1a
2x DisplayPort 2.1
1x USB Type-C

Theoretical Performance

483.8 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.

691.0 GPixel/s

1452 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.

1382 GTexel/s

92.90 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.

176.9 TFLOPS

1452 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.

2.764 TFLOPS

96.653 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.

90.219 TFLOPS

Miscellaneous

144

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.

18432

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.

6144

128 KB (per SM)

L1 Cache

256 KB per Array

96MB

L2 Cache

6MB

800W

TDP

405W

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

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

Shader Model

6.7

Suggested PSU

800W