Home / NVIDIA / NVIDIA RTX 2000 Mobile Ada Generation: Performance and Specs

NVIDIA RTX 2000 Mobile Ada Generation

NVIDIA RTX 2000 Mobile Ada Generation: Power and Efficiency in a Mobile Form Factor

April 2025

1. Architecture and Key Features

Ada Lovelace Architecture: A Technological Breakthrough

The RTX 2000 Mobile graphics card is built on the Ada Lovelace architecture, which debuted in 2022 but continues to evolve. Chips are manufactured using TSMC's 4nm process technology, ensuring a high transistor density (up to 35 billion) and energy efficiency.

Unique Features:

- RTX (Ray Tracing): Hardware support for 3rd generation ray tracing. 50% acceleration in RT operations compared to the previous generation (Ampere).

- DLSS 3.5: AI-driven Super Resolution + Frame Generation. In supported games, FPS gains reach 100% (e.g., in Cyberpunk 2077: Phantom Liberty).

- NVIDIA Reflex: Reduces input lag by up to 15 ms in competitive titles (Apex Legends, Valorant).

- Compatibility with FidelityFX Super Resolution (FSR): Despite competition with AMD, the card supports FSR 3.0, which is useful for games without DLSS.

2. Memory: Speed and Volume

GDDR6X and Bandwidth

The RTX 2000 Mobile is equipped with 12 GB of GDDR6X memory with a 192-bit bus. The bandwidth is 504 GB/s (20% higher than GDDR6 in the RTX 3050 Ti Mobile).

Impact on Performance:

- In high texture games (Horizon Forbidden West), 12 GB prevents FPS drops at 4K.

- For professional tasks (8K rendering in DaVinci Resolve), the memory volume is sufficient for working with RAW materials.

3. Gaming Performance: Numbers and Reality

Average FPS in Popular Games (2025):

- Cyberpunk 2077 (RT Ultra, DLSS 3.5):

- 1080p: 78 FPS

- 1440p: 58 FPS

- 4K: 36 FPS

- Starfield (Ultra, FSR 3.0):

- 1440p: 65 FPS

- Fortnite (RTX, Nanite):

- 1080p: 144 FPS

Ray Tracing:

Enabling RT reduces FPS by 30-40%, but DLSS 3.5 compensates for the losses. For example, in Alan Wake II with RT and DLSS, the card delivers a stable 60 FPS at 1440p.

4. Professional Tasks: Not Just Gaming

Video Editing and 3D Modeling:

- CUDA Cores: 4608 cores accelerate rendering in Blender (BMW Render project is 20% faster than on RTX 3060 Mobile).

- NVENC 9th Generation: Encodes 8K 60 FPS in H.265 without CPU load (relevant for Premiere Pro).

Scientific Calculations:

Support for OpenCL and CUDA allows the card to be used in machine learning (TensorFlow) and simulations (COMSOL Multiphysics).

5. Power Consumption and Thermal Output

TDP and Cooling:

- TDP: 95 W (max 115 W with Dynamic Boost).

- Recommendations: Laptops should have a cooling system with at least two fans and heat pipes (e.g., ASUS ROG Zephyrus M16 2025).

Choosing a Chassis:

For external use (eGPU), cases with a power supply of at least 300 W and Thunderbolt 5 interface are suitable.

6. Comparison with Competitors

AMD Radeon RX 7800M XT:

- Pros: Cheaper (~$1300 vs. $1500 for RTX 2000), higher performance in Vulkan games (Red Dead Redemption 2).

- Cons: Weaker RT and DLSS, no equivalent of NVENC.

Intel Arc A770M:

- Price: ~$1000, but lagging behind in drivers and optimization for professional applications.

Conclusion: The RTX 2000 Mobile outperforms competitors thanks to DLSS 3.5 and stable drivers.

7. Practical Tips

Power Supply:

A laptop with RTX 2000 Mobile requires a power supply of at least 180 W (for models with Intel Core i7/i9 13th generation — 230 W).

Compatibility:

- Platforms: Only systems with PCIe 5.0 (current laptops from 2024-2025).

- Drivers: Regularly update GeForce Experience for support of new games and fixes.

8. Pros and Cons

Pros:

- High gaming performance with DLSS 3.5.

- Ideal for mobile workstations.

- Energy efficiency for the 95 W class.

Cons:

- Price: Laptops with this card start at $1500.

- Limited availability in ultrabooks due to cooling requirements.

9. Final Conclusion: Who Should Consider the RTX 2000 Mobile?

This graphics card is a choice for those seeking a balance between mobility and power.

- Gamers: 1440p with RT and DLSS in AAA games.

- Professionals: Rendering, editing, and AI tasks on the go.

- Students: A versatile solution for studying and entertainment.

Price: Laptops with the RTX 2000 Mobile Ada Generation start at $1500 (e.g., MSI Stealth 16 Studio 2025). If your budget allows, this is one of the best choices available in the market by 2025.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

March 2023

Model Name

RTX 2000 Mobile Ada Generation

Generation

Quadro Ada-M

Base Clock

1635MHz

Boost Clock

2115MHz

Bus Interface

PCIe 4.0 x16

Transistors

Unknown

RT Cores

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.

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.

Foundry

TSMC

Process Size

5 nm

Architecture

Ada Lovelace

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

2000MHz

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.

256.0 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.

101.5 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.

203.0 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.

12.99 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.

203.0 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.

13.25 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.

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

L1 Cache

128 KB (per SM)

L2 Cache

12MB

TDP

50W

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

3.0

OpenGL

4.6

DirectX

12 Ultimate (12_2)

CUDA

8.9

Power Connectors

None

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.

Benchmarks

FP32 (float)

Score

13.25 TFLOPS

3DMark Time Spy

Score

7124

Blender

Score

2804

Compared to Other GPU

FP32 (float) / TFLOPS

Radeon Pro V420

14.209 +7.2%

Quadro RTX 6000 Mobile

13.678 +3.2%

RTX 2000 Mobile Ada Generation

13.25

GeForce RTX 3070 Max Q

12.946 -2.3%

GRID RTX T10 16

12.603 -4.9%

3DMark Time Spy

Radeon RX 6700

11433 +60.5%

Radeon VII

9090 +27.6%

RTX 2000 Mobile Ada Generation

7124

Radeon RX 590

4864 -31.7%

GeForce GTX 1060 3 GB

3754 -47.3%

Blender

GeForce RTX 5090

15026.3 +435.9%

RTX A4500

3514.46 +25.3%

RTX 2000 Mobile Ada Generation

2804

Radeon RX 6800S

1064 -62.1%

GeForce GTX 1070 GDDR5X

561 -80%