Home / NVIDIA / NVIDIA GeForce RTX 2070 SUPER Max Q: Performance and Specs

NVIDIA GeForce RTX 2070 SUPER Max Q

NVIDIA GeForce RTX 2070 SUPER Max Q: A Hybrid of Power and Mobility

April 2025

Introduction

The NVIDIA GeForce RTX 2070 SUPER Max Q is a graphics card that once bridged the gap between high-performance desktop solutions and compact mobile systems. Despite being overshadowed by next-generation GPUs in 2025, this model remains relevant for users seeking a balance between performance, energy efficiency, and price. Let’s explore what makes it stand out today.

1. Architecture and Key Features

Turing Architecture: The Foundation of Innovation

The RTX 2070 SUPER Max Q is built on the Turing architecture (12 nm, TSMC), which revolutionized the industry from 2018 to 2021 with the introduction of hardware-accelerated ray tracing (RTX) and artificial intelligence.

Key Technologies:

- RT Cores: Real-time ray tracing enhances reflections, shadows, and global illumination.

- Tensor Cores: Accelerators for DLSS (Deep Learning Super Sampling), increasing FPS through AI upscaling.

- FidelityFX Support: While FidelityFX is an AMD technology, many games (like Cyberpunk 2077, Deathloop) optimize it for NVIDIA, improving sharpness and detail.

Manufacturing Process: The 12 nm process strikes a balance between power consumption and performance, although it falls short of modern 5–7 nm chips.

2. Memory

GDDR6: Speed and Stability

- Capacity: 8 GB — sufficient for gaming at 1440p and most professional tasks.

- Bus and Bandwidth: A 256-bit bus and a speed of 14 Gbps provide a bandwidth of 448 GB/s. For comparison, the RTX 3070 Mobile (GDDR6, 256-bit) offers 512 GB/s.

- Performance Impact: High bandwidth minimizes delays in demanding scenes (like open worlds in Red Dead Redemption 2).

3. Gaming Performance

FPS in Popular Titles (2025):

- 1080p (Ultra):

- Cyberpunk 2077 (RT Ultra, DLSS Quality): 65–75 FPS.

- Apex Legends: 120–140 FPS.

- 1440p (Ultra):

- Elden Ring: 55–60 FPS (without RT).

- Call of Duty: Warzone (DLSS Balanced): 90–100 FPS.

- 4K: Only for less demanding games (CS2, Valorant) — 60+ FPS.

Ray Tracing: Enabling RT reduces FPS by 30–40%, but DLSS 2.0+ compensates for losses, adding 15–25% to performance.

4. Professional Tasks

CUDA and OpenCL:

- Video Editing: In DaVinci Resolve, rendering a 4K project takes 20% less time compared to the GTX 1080.

- 3D Modeling: In Blender (Cycles), the card delivers 350–400 samples/min (BMW scene).

- Scientific Computing: CUDA support accelerates simulations in MATLAB and Machine Learning (TensorFlow/PyTorch).

Limitations: For complex tasks (8K rendering, neural networks), it’s better to opt for RTX 30/40 series.

5. Power Consumption and Heat Dissipation

TDP and Cooling:

- TDP: 80–90 W — lower than the desktop RTX 2070 SUPER (215 W).

- Heat Output: In laptops with an efficient cooling system (like the ASUS Zephyrus M15), temperatures do not exceed 75–80°C under load.

- Tips:

- Use cooling pads for laptops.

- Avoid compact cases without ventilation.

6. Comparison with Competitors

AMD Radeon RX 6600M (2021):

- Pros: Better price ($350–400), higher performance in Vulkan games (Doom Eternal).

- Cons: Weak ray tracing support, lack of a DLSS equivalent.

NVIDIA RTX 3060 Mobile (2021):

- Comparable price ($450–500), but better energy efficiency (6 nm) and support for DLSS 3.0.

Conclusion: The RTX 2070 SUPER Max Q outperforms competitors from 2021–2022 in RT scenes but falls behind newer GPUs in raw performance.

7. Practical Tips

- Power Supply: For laptops — at least 180–200 W.

- Compatibility: Requires PCIe 3.0, compatible with most platforms.

- Drivers: Regularly update GeForce Experience for game optimization. Disable unnecessary background processes (like ShadowPlay, if recording is not needed).

8. Pros and Cons

Pros:

- Optimal for 1440p gaming with RT.

- Supports DLSS and FidelityFX.

- Energy-efficient for laptops.

Cons:

- Falls short compared to new RTX 30/40 models in 4K.

- Limited availability of new devices (price $450–600).

9. Final Conclusion

Who is the RTX 2070 SUPER Max Q suitable for in 2025?

- Gamers: Those playing at 1440p with RT and who value mobility.

- Creative Professionals: For video editing and 3D work on a laptop.

- Budget Users: If the new RTX 4060 Mobile is priced higher ($700+).

Alternatives: If the budget is over $600, consider the RTX 4060 Mobile or AMD RX 7600M.

Conclusion

The RTX 2070 SUPER Max Q remains a tried-and-true solution for those who do not seek ultra-settings in 4K but value stability, mobility, and affordability. In 2025, it continues to hold relevance in the segment of used and discounted new devices.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

April 2020

Model Name

GeForce RTX 2070 SUPER Max Q

Generation

GeForce 20 Mobile

Base Clock

930MHz

Boost Clock

1155MHz

Bus Interface

PCIe 3.0 x16

Transistors

13,600 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.

320

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.

160

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

1375MHz

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.

352.0 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.

73.92 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.

184.8 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.

11.83 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.

184.8 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.

5.796 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.

2560

L1 Cache

64 KB (per SM)

L2 Cache

4MB

TDP

80W

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

5.796 TFLOPS

3DMark Time Spy

Score

7333

Blender

Score

1972

OctaneBench

Score

195

Compared to Other GPU

FP32 (float) / TFLOPS

GeForce RTX 2060

6.322 +9.1%

Radeon RX 580X

6.051 +4.4%

GeForce RTX 2070 SUPER Max Q

5.796

Radeon Pro Duo Polaris

5.613 -3.2%

Radeon Pro 5500 XT

5.506 -5%

3DMark Time Spy

GeForce RTX 3070 Ti Mobile

11589 +58%

GeForce RTX 2070

9097 +24.1%

GeForce RTX 2070 SUPER Max Q

7333

Radeon RX 5500 XT

4952 -32.5%

Radeon RX 470

3778 -48.5%

Blender

RTX 6000 Ada Generation

11924 +504.7%

RTX A4000

3477 +76.3%

GeForce RTX 2070 SUPER Max Q

1972

Radeon Pro W6600

1049 -46.8%

GeForce GTX 1070 Max Q

537 -72.8%

OctaneBench

GeForce RTX 4090

1328 +581%

GeForce RTX 4070 Mobile

349 +79%

GeForce RTX 2070 SUPER Max Q

195

Quadro M5000

89 -54.4%

T550 Mobile

47 -75.9%