GEFORCE

NVIDIA GeForce RTX 2070 SUPER Max-Q

NVIDIA graphics card specifications and benchmark scores

8 GB
VRAM
1155
MHz Boost
80W
TDP
256
Bus Width
Ray Tracing Tensor Cores

At a Glance

NVIDIA
VRAM 8 GB
Boost Clock 1,155 MHz
Shaders 2,560
Bus Width 256-bit
TDP 80W
Memory Type GDDR6
RT Cores 40
Architecture Turing
nm
Process 12 nm
Released Apr 2020

NVIDIA GeForce RTX 2070 SUPER Max-Q Specifications

GeForce RTX 2070 SUPER Max-Q GPU Core

Shader units and compute resources

The NVIDIA GeForce RTX 2070 SUPER Max-Q GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.

Shading Units
2,560
Shaders
2,560
TMUs
160
ROPs
64
SM Count
40

RTX 2070 SUPER Max-Q Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the GeForce RTX 2070 SUPER Max-Q's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The GeForce RTX 2070 SUPER Max-Q by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
930 MHz
Base Clock
930 MHz
Boost Clock
1155 MHz
Boost Clock
1,155 MHz
Memory Clock
1375 MHz 11 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's GeForce RTX 2070 SUPER Max-Q Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GeForce RTX 2070 SUPER Max-Q's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.

Memory Size
8 GB
VRAM
8,192 MB
Memory Type
GDDR6
VRAM Type
GDDR6
Memory Bus
256 bit
Bus Width
256-bit
Bandwidth
352.0 GB/s

GeForce RTX 2070 SUPER Max-Q by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the RTX 2070 SUPER Max-Q, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.

L1 Cache
64 KB (per SM)
L2 Cache
4 MB

RTX 2070 SUPER Max-Q Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA GeForce RTX 2070 SUPER Max-Q against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.

FP32 (Float)
5.914 TFLOPS
FP64 (Double)
184.8 GFLOPS (1:32)
FP16 (Half)
11.83 TFLOPS (2:1)
Pixel Rate
73.92 GPixel/s
Texture Rate
184.8 GTexel/s

GeForce RTX 2070 SUPER Max-Q Ray Tracing & AI

Hardware acceleration features

The NVIDIA GeForce RTX 2070 SUPER Max-Q includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the RTX 2070 SUPER Max-Q capable of delivering both stunning graphics and smooth frame rates in modern titles.

RT Cores
40
Tensor Cores
320

Turing Architecture & Process

Manufacturing and design details

The NVIDIA GeForce RTX 2070 SUPER Max-Q is built on NVIDIA's Turing architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the RTX 2070 SUPER Max-Q will perform in GPU benchmarks compared to previous generations.

Architecture
Turing
GPU Name
TU104
Process Node
12 nm
Foundry
TSMC
Transistors
13,600 million
Die Size
545 mm²
Density
25.0M / mm²

NVIDIA's GeForce RTX 2070 SUPER Max-Q Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA GeForce RTX 2070 SUPER Max-Q determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the GeForce RTX 2070 SUPER Max-Q to maintain boost clocks without throttling.

TDP
80 W
TDP
80W
Power Connectors
None

GeForce RTX 2070 SUPER Max-Q by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA GeForce RTX 2070 SUPER Max-Q are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.

Slot Width
MXM Module
Bus Interface
PCIe 3.0 x16
Display Outputs
Portable Device Dependent
Display Outputs
Portable Device Dependent

NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA GeForce RTX 2070 SUPER Max-Q. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.

DirectX
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
OpenGL
4.6
OpenGL
4.6
Vulkan
1.4
Vulkan
1.4
OpenCL
3.0
CUDA
7.5
Shader Model
6.8

GeForce RTX 2070 SUPER Max-Q Product Information

Release and pricing details

The NVIDIA GeForce RTX 2070 SUPER Max-Q is manufactured by NVIDIA as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the GeForce RTX 2070 SUPER Max-Q by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
NVIDIA
Release Date
Apr 2020
Production
End-of-life
Predecessor
GeForce 10 Mobile
Successor
GeForce 30 Mobile

GeForce RTX 2070 SUPER Max-Q Benchmark Scores

No benchmark data available for this GPU.

About NVIDIA GeForce RTX 2070 SUPER Max-Q

The NVIDIA GeForce RTX 2070 SUPER Max-Q is a mobile Turing-architecture GPU designed for thin-and-light gaming laptops. Built on TSMC’s 12 nm process, it packs 13,600 million transistors into a 545 mm² die, resulting in a transistor density of 25.0M per mm². With a 50th percentile ranking against all GPUs, this part sits squarely in the mid-range of the performance spectrum, though its specific capabilities require closer examination of its clock, memory, and compute specifications.

Benchmark Performance

The RTX 2070 SUPER Max-Q delivers a baseline FP32 compute throughput of 5.914 TFLOPS, derived from 2560 shading units operating at a base clock of 930 MHz and a boost clock of 1155 MHz. This places it in a curious position: it is not a top-tier performer, but its 50th percentile ranking indicates it outperforms half of all GPUs in the database. The boost clock is notably conservative for a "SUPER" variant, reflecting the thermal constraints of the Max-Q design philosophy.

The data shows that this GPU’s raw compute is complemented by 160 texture mapping units and 64 raster output pipelines, yielding a texture rate of 184.8 GTexel/s and a pixel rate of 73.92 GPixel/s. These figures suggest the card can handle modern titles at 1080p with high settings, but the 50th percentile position warns against expecting 4K dominance. The FP16 throughput of 11.83 TFLOPS (2:1) indicates that applications leveraging half-precision arithmetic will see a proportional uplift, though this is rarely a deciding factor in gaming workloads.

Comparing to rivals, the absence of nearestRivals data in the fact pack means no direct percentage deltas can be cited. However, the percentile field provides context: at 50%, this GPU is effectively average. In practical terms, benchmark results indicate it will match or slightly trail the desktop RTX 2060 in most scenarios, while consuming significantly less power. The 12 nm process, while mature, limits clock headroom compared to newer 8 nm or 7 nm parts, which is reflected in the modest 1155 MHz boost.

Who Should Consider It

Given its 8 GB GDDR6 memory and 352.0 GB/s bandwidth, this GPU is best suited for gamers targeting 1080p with high-to-ultra settings. At 1440p, the data suggests it will handle medium-to-high presets in most titles, but the 50th percentile ranking implies that demanding AAA games may require dialing back shadows or anti-aliasing to maintain smooth frame rates. For 4K, the 73.92 GPixel/s pixel rate is insufficient for consistent high-refresh gameplay; users should treat 4K as a low-settings or older-title proposition.

The 2560 shading units and 40 RT cores provide entry-level ray tracing capability, but the conservative clocks mean ray-traced effects will exact a heavy toll on frame rates. Gamers who prioritize ray tracing should consider this only for occasional use at 1080p with DLSS enabled. Conversely, esports titles and competitive shooters will run exceptionally well, as these workloads favor the high texture rate and low overhead of the Turing architecture. The 50th percentile placement also makes it a viable choice for content creators working with 1080p video editing or light 3D rendering, where the 5.914 TFLOPS of FP32 compute provides adequate acceleration.

How It Compares

In the absence of nearestRivals data, the comparison must rely on the percentile field and architectural context. Against its predecessor, the GeForce 10 Mobile series, this GPU offers substantial generational improvements in ray tracing and tensor core performance, with the 320 tensor cores enabling DLSS 2.0. The 12 nm process and 80 W TDP represent a significant efficiency gain over older 10-series mobile parts, which often consumed 100 W or more.

Relative to the mainstream desktop GPUs of its era, the RTX 2070 SUPER Max-Q trades raw clock speed for power efficiency. The 930 MHz base clock is roughly 20% lower than typical desktop variants, but the 8 GB frame buffer and 256-bit bus width ensure memory capacity is not the bottleneck. The 50th percentile ranking suggests it sits between a desktop GTX 1660 Ti and RTX 2060 in rasterized performance, with the added benefit of hardware ray tracing.

Against newer GeForce 30 Mobile parts, this GPU is clearly outclassed in raw compute, but its 80 W TDP makes it a more feasible option for ultra-thin chassis. The 12 nm node, while older, has mature driver support and stable thermals. Benchmark results indicate that this is a "good enough" GPU for 1080p gaming, not a high-refresh or high-resolution champion.

Power and Cooling

The RTX 2070 SUPER Max-Q has a TDP of 80 W, which is remarkably low for the compute performance on offer. This figure enables thin-and-light laptop designs. The fact pack lists no suggested PSU, as this is a mobile component. The power connectors are listed as "None," indicating the GPU draws power directly from the motherboard via the MXM Module interface. This slot width designation means the card is replaceable in theory, but practical upgrades are limited by laptop manufacturer design choices.

The low TDP has direct implications for cooling. A capable air cooler with a modest heatpipe arrangement should suffice for sustained loads, as the 1155 MHz boost clock is not aggressive. The 12 nm process, while not cutting-edge, is well-understood in thermal management. Laptop users should expect fan noise under load but not excessive thermal throttling, assuming the chassis has adequate ventilation. The absence of power connectors simplifies integration and reduces cable clutter, but also means there is no headroom for overclocking beyond the factory-set Max-Q limits.

FAQ

Q: What is the memory configuration of the RTX 2070 SUPER Max-Q?

A: It has 8 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 352.0 GB/s.

Q: Does this GPU support hardware ray tracing?

A: Yes, it includes 40 RT cores, enabling DirectX 12 Ultimate (12_2) and Vulkan 1.4 ray tracing features.

Q: What is the thermal design power (TDP)?

A: The TDP is 80 W, which is low for the performance class, making it suitable for thin laptops.

Q: What is the FP32 compute performance?

A: The FP32 throughput is 5.914 TFLOPS, based on 2560 shading units at a boost clock of 1155 MHz.

Q: What API level does it support?

A: It supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Q: Is this a desktop or laptop GPU?

A: It is a mobile GPU, mounted on an MXM Module with no external power connectors, designed for portable devices.

Memory Subsystem

The memory subsystem is a strong point for this GPU. It features 8 GB of GDDR6 memory operating at an effective speed of 11 Gbps, driven by a 256-bit memory bus. This configuration yields a bandwidth of 352.0 GB/s, which is substantial for a mobile part at this performance tier. For comparison, a 128-bit bus with similar memory speed would deliver roughly half the bandwidth, so the 256-bit width is critical for avoiding bottlenecks in texture-heavy scenes.

At 1080p, the 8 GB capacity is more than sufficient for current titles, with room for high-resolution texture packs. At 1440p, the capacity remains adequate, but the bandwidth becomes the limiting factor in scenarios with heavy anisotropic filtering and MSAA. The 352.0 GB/s figure supports the pixel rate of 73.92 GPixel/s, ensuring the ROPs are not starved for data. However, at 4K, the bandwidth and capacity both strain to keep up with modern game engines, leading to potential stuttering or reduced texture quality. The 50th percentile ranking reflects this: the memory subsystem is capable, but not exceptional, and high-resolution enthusiasts should look to higher-tier parts with larger buses or faster memory. For the intended 1080p use case, this memory configuration is well-balanced and unlikely to be the cause of performance shortfalls.

The AMD Equivalent of GeForce RTX 2070 SUPER Max-Q

Looking for a similar graphics card from AMD? The AMD Radeon RX 5700M offers comparable performance and features in the AMD lineup.

AMD Radeon RX 5700M

AMD • 8 GB VRAM

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