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NVIDIA GeForce RTX 2070 Max Q

NVIDIA GeForce RTX 2070 Max Q: A Blend of Power and Mobility in 2025

An Overview of Relevance, Performance, and Practical Value in the Era of New Technologies

1. Architecture and Key Features

Turing: The Foundation for Revolution

The GeForce RTX 2070 Max Q is built on the Turing architecture, which in 2025 continues to symbolize the transition to an era of hybrid rendering. The chips are manufactured using TSMC's 12nm process technology, ensuring a balance between energy efficiency and performance.

Unique Technologies:

- RTX (Real-Time Ray Tracing): Hardware support for ray tracing. Even years later, Turing's RT cores demonstrate commendable results in games with a focus on realistic lighting.

- DLSS 1.0: Neural network-based upscaling that improves FPS with minimal loss of quality. By 2025, DLSS 3.0 has become the standard, but the first version is still relevant for optimized projects.

- NVENC: A hardware encoder for streaming and editing. Supports H.264 and H.265, offloading the CPU.

Important: FidelityFX is an AMD technology, so the RTX 2070 Max Q does not support it. However, NVIDIA compensates with its own solutions, such as Adaptive Shading.

2. Memory: Speed and Capabilities

GDDR6: Speed for Mobile Systems

The card is equipped with 8 GB of GDDR6 memory with a 256-bit bus. The bandwidth reaches 448 GB/s (14 Gbps per module), which is sufficient for 1440p gaming and partial immersion in 4K.

Impact on Performance:

- In games with highly detailed textures (e.g., Cyberpunk 2077), 8 GB is the minimal comfortable amount for Ultra settings at 1440p.

- For professional tasks (rendering 3D scenes), the memory could become a bottleneck when working on heavy projects.

3. Gaming Performance

Real Numbers for Gamers

In 2025, the RTX 2070 Max Q remains relevant for 1080p and 1440p gaming. Examples of FPS (average values, Ultra settings):

- Cyberpunk 2077 (1440p): 45 FPS (without RTX), 30 FPS (RTX Medium + DLSS Quality).

- Fortnite (1440p): 90 FPS (DLSS enabled).

- Red Dead Redemption 2 (1080p): 65 FPS.

Ray Tracing: Enabling RTX reduces FPS by 30-40%, but DLSS recovers up to 20-25% of performance. For comfortable gameplay in 2025, it's better to choose projects optimized for DLSS.

4K: Possible in lighter games (CS2, Valorant) — 60+ FPS, but AAA titles will require reduced settings.

4. Professional Tasks

Not Just Gaming

- Video Editing: With NVENC, rendering in Premiere Pro is accelerated by 30-50% compared to CPU rendering.

- 3D Rendering (Blender): 1920 CUDA cores provide speed comparable to the RTX 3060 Mobile but lag behind the new RTX 40 series.

- Scientific Calculations: Support for CUDA/OpenCL makes the card suitable for basic machine learning, but for complex models, it's better to choose cards with larger memory.

5. Power Consumption and Heat Dissipation

Efficiency Above All

- TDP: 80-90W (depending on the laptop model).

- Cooling: Requires a well-thought-out ventilation system. Dual-fan laptops with copper heat pipes are recommended.

- Advice: Use cooling pads for long gaming sessions. Avoid closed spaces (for example, using it on a blanket).

6. Comparison with Competitors

Who is Leading?

- AMD Radeon RX 6600M: Comparable in performance at 1080p but weaker in RTX tasks. Price: $450-$500.

- NVIDIA RTX 3060 Mobile: 15-20% faster in games but more expensive ($600-$700).

- Intel Arc A770M: Good for DX12 projects, but drivers are still less stable.

Conclusion: The RTX 2070 Max Q outperforms competitors from 2022-2023 but falls short against new releases from 2024-2025.

7. Practical Tips

How to Avoid Problems?

- Power Supply: For laptops — the original adapter (usually 150-180W). For PC builds (if the card is used externally) — a PSU of at least 500W.

- Compatibility: Requires PCIe 3.0 x16. Optimal OS — Windows 11 or Linux with NVIDIA drivers 525+.

- Drivers: Regularly update through GeForce Experience. For professional tasks, use Studio Drivers.

8. Pros and Cons

Pros:

- Supports RTX and DLSS.

- Energy efficiency (ideal for thin laptops).

- Affordable price ($400-$500 in 2025).

Cons:

- Limited performance in 4K.

- 8 GB of memory is insufficient for top-tier professional tasks.

- The Turing architecture lags behind Ada Lovelace (RTX 40 series).

9. Final Verdict

Who is the RTX 2070 Max Q Suitable For?

- Gamers: Those looking for a balance between mobility and performance at 1080p/1440p.

- Creative Professionals: For video editing, 3D modeling, and light machine learning.

- Budget Users: If the price of new releases seems inflated, and RTX support is essential.

Why in 2025? Despite its age, this card is a solid choice for the second-hand market and remaining new devices. It proves that Turing technology can still impress.

Prices are current as of April 2025. Check with official suppliers for availability.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

January 2019

Model Name

GeForce RTX 2070 Max Q

Generation

GeForce 20 Mobile

Base Clock

885MHz

Boost Clock

1185MHz

Bus Interface

PCIe 3.0 x16

Transistors

10,800 million

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.

288

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.

144

Foundry

TSMC

Process Size

12 nm

Architecture

Turing

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.

256bit

Memory Clock

1500MHz

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.

384.0 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.

75.84 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.

170.6 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.

10.92 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.

170.6 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.

5.351 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.

2304

L1 Cache

64 KB (per SM)

L2 Cache

4MB

TDP

90W

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

7.5

Power Connectors

None

Shader Model

6.6

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

5.351 TFLOPS

3DMark Time Spy

Score

6767

Compared to Other GPU

FP32 (float) / TFLOPS

Radeon Pro 580

5.641 +5.4%

Radeon R9 290X2

5.519 +3.1%

GeForce RTX 2070 Max Q

5.351

Radeon Pro 5600M

5.193 -3%

GeForce GTX 1660

5.128 -4.2%

3DMark Time Spy

Radeon RX 7600

10694 +58%

Radeon RX 5700

8706 +28.7%

GeForce RTX 2070 Max Q

6767

GeForce RTX 3050 Mobile

4775 -29.4%

GeForce GTX 1650

3521 -48%