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NVIDIA GeForce RTX 2070 SUPER Mobile

NVIDIA GeForce RTX 2070 SUPER Mobile: Overview of Capabilities in 2025

Professional Analysis for Gamers and Creative Users

Architecture and Key Features

Turing: The Foundation for Revolution

The GeForce RTX 2070 SUPER Mobile graphics card is built on the Turing architecture, which remains relevant years later due to its balance of performance and energy efficiency. The chips are manufactured using 12nm TSMC technology, ensuring high transistor density (10.8 billion) with moderate heat output.

Unique Technologies

- RT Cores and DLSS: Hardware ray tracing (RTX) and Deep Learning Super Sampling (DLSS 2.0) are key advantages. DLSS increases FPS through AI upscaling, which is critical for mobile systems.

- FidelityFX Support: Although FidelityFX is an AMD technology, games implementing it (like Cyberpunk 2077) run on the RTX 2070 SUPER Mobile with optimizations, thanks to open standards.

- NVENC: The video encoding chip improves streaming and recording without stressing the CPU.

Memory: Speed and Efficiency

GDDR6: Speed for Gaming and Creativity

The card features 8 GB GDDR6 memory with a 256-bit bus. The bandwidth is 448 GB/s (14 Gbps), allowing it to handle high-resolution textures and complex 3D scenes without lag.

Impact on Performance

- In games with ultra textures (e.g., Red Dead Redemption 2), the memory size prevents FPS drops even at 1440p.

- For professional tasks (rendering in Blender), 8 GB is sufficient for most projects, but heavy scenes may need optimization.

Gaming Performance: Numbers and Realities

1080p and 1440p: The Ideal Balance

- Cyberpunk 2077 (Ultra, RTX Medium, DLSS Quality): 58–62 FPS at 1080p, 45–50 FPS at 1440p.

- Elden Ring (Max settings): 75 FPS at 1080p, 60 FPS at 1440p.

- Call of Duty: Warzone (Ultra): 110 FPS at 1080p, 85 FPS at 1440p.

4K and Ray Tracing

Without DLSS, 4K is a weak point: Assassin’s Creed Valhalla only achieves 30–35 FPS at max settings. However, with DLSS Performance mode, this increases to 50–55 FPS, making 4K playable, but with compromises in detail.

Professional Tasks: Not Just Games

CUDA and Creative Applications

- Video Editing: In Adobe Premiere Pro, rendering a 4K project is sped up by 40% compared to the GTX 10 series.

- 3D Rendering: In Blender, the BMW test (Cycles) completes in 8.5 minutes compared to 14 minutes with the RTX 2060 Mobile.

- Machine Learning: CUDA and Tensor Core support simplifies experimenting with small neural network models (e.g., in TensorFlow).

Power Consumption and Cooling

TDP and Heat Output

The card’s TDP is 115W, which requires a thoughtful cooling system in laptops. During gaming sessions, core temperatures can reach 75–85°C, but throttling is rare in well-designed laptops (e.g., ASUS ROG Zephyrus).

Laptop Selection Tips

- Look for models with 2–3 fans and heat pipes.

- Bodies with improved ventilation (such as Cooler Master NotePal X3 stands) can lower temperatures by 5–7°C.

Comparison with Competitors

AMD Radeon RX 6700M: An Alternative

- Pros of AMD: 10 GB GDDR6 and a better price/performance ratio in Vulkan games (Doom Eternal).

- Cons: Poor ray tracing support (30% slower than RTX 2070 SUPER Mobile) and no equivalent to DLSS.

Intra-family Competition

- RTX 3070 Mobile: 20–25% faster, but laptops with this GPU start at $1600, while models with RTX 2070 SUPER Mobile are available for $1000–1300 in 2025.

Practical Advice

Power Supply and Compatibility

- Minimum recommended PSU for the system is 180–200W.

- The card is compatible with Intel 10th-12th gen processors and AMD Ryzen 5000/6000.

Drivers and Optimization

- Regularly update drivers through GeForce Experience: for example, the 2024 update added DLSS 3.5 support in Starfield.

- For professional tasks, use studio drivers (Studio Driver) that enhance stability in Adobe Suite.

Pros and Cons

Strengths

- Support for DLSS and RTX for immersive gaming.

- Optimal performance at 1440p.

- Versatility: gaming, editing, 3D design.

Weaknesses

- Limited 4K performance without DLSS.

- Heat generation in compact chassis.

- In 2025, it’s not top-tier, but its price remains high for its class.

Final Conclusion: Who Should Consider RTX 2070 SUPER Mobile?

This graphics card is an ideal choice for:

1. Gamers looking to play with ray tracing on a laptop without paying a premium for RTX 30/40 series.

2. Content creators who need mobility and accelerated rendering.

3. Streamers who value NVENC and stability in multitasking.

In 2025, laptops with RTX 2070 SUPER Mobile can be found for $1000–1300, making them a great option for those seeking a balance between price and capabilities. If you don’t need ultimate 4K gaming, but prioritize mobility and versatility, this card is still relevant.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

April 2020

Model Name

GeForce RTX 2070 SUPER Mobile

Generation

GeForce 20 Mobile

Base Clock

1140MHz

Boost Clock

1380MHz

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

1750MHz

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.

448.0 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.

88.32 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.

220.8 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.

14.13 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.

220.8 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.

6.925 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

115W

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

6.925 TFLOPS

3DMark Time Spy

Score

8211

Compared to Other GPU

FP32 (float) / TFLOPS

Radeon Pro 5700 XT

7.521 +8.6%

GeForce RTX 2070

7.316 +5.6%

GeForce RTX 2070 SUPER Mobile

6.925

GeForce GTX 1070

6.592 -4.8%

GeForce RTX 2070 Mobile

6.503 -6.1%

3DMark Time Spy

GeForce RTX 4060 Ti

13503 +64.5%

Arc A770M

10469 +27.5%

GeForce RTX 2070 SUPER Mobile

8211

GeForce RTX 2060 Mobile Refresh

6165 -24.9%

Radeon R9 Nano

4543 -44.7%