DUAL RTX 2070 ADVANCED 8GB GDDR6 – Review | Specs | Pros and Cons

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 DUAL RTX 2070 ADVANCED 8GB GDDR6 – Review | Specs | Pros and Cons | Texting | Overclocking – The renowned ASUS DUAL family has given a big surprise in this series of NVIDIA RTX, all focused on the cooling system, a factor that previously did not show great promise. From this series ASUS incorporated a more robust cooling system covering up to 2.7 slots in height for expansion bays, in addition to this 90mm fans and a heatsink that apart from being larger also has more heatpipes and also a backplate that gives the model more appeal.

When we talk about the ASUS DUAL series we do not think of a model with aesthetic qualities according to a gamer segment, but rather we think of a model where functional elements are a priority. This series would then point to a segment with functional or productivity aspects, and which will obviously have a reduced cost by not incorporating the large number of “chiches” that a gamer standard requires today.

New transmission multiprocessor (SM).

Turing presents a new processor architecture, Turing SM, offering a dramatic increase in shading efficiency, achieving a 50% improvement in performance delivered by CUDA Core compared to the Pascal generation. These improvements are enabled by two key architectural changes. First, Turing SM adds a new independent integer data path that can execute instructions simultaneously with the floating-point mathematical data path. In previous generations, the execution of these instructions would have blocked the issuance of floating point instructions. Second, the SM memory path has been redesigned to unify shared memory, texture caching and memory caching in a drive. This translates into 2 times more bandwidth and more than 2 times more available capacity for L1 cache in common workloads.

Turing Tensor Cores.

Tensor cores are specialized execution units, specifically designed to perform tensor / matrix operations that are the main computing function used in “Deep Learning”. Similar to the Volta Tensor Cores, the Turing Tensor Cores provide high accelerations for matrix calculations at the heart of deep neural network learning and inference operations. The Turing GPUs include a new version of the Tensor core design that has been improved for inference. Turing cores add new INT8 and INT4 precision modes for inference of workloads that can tolerate quantification and do not require FP16 accuracy. Turing Tensor offers for the first time new artificial intelligence capabilities based on deep learning for gaming PCs with GeForce and Quadro-based workstations. A new technique called Deep Learning Super Sampling (DLSS) is driven by Tensor Cores. DLSS leverages a deep neural network to extract the multidimensional features of the rendered scene and intelligently combine the details of multiple frames to build a high-quality final image. DLSS uses fewer input samples than traditional techniques such as TAA, while avoiding the algorithmic difficulties such techniques face with transparency and other complex scene elements.

Ray Tracing Acceleration in real time.

Turing introduces real-time ray tracing or Ray Tracing that allows a single GPU to render visually realistic 3D games and complex professional models with physically accurate shadows, reflections and refractions. Turing’s new RT Cores accelerate ray tracing and are leveraged by systems and interfaces such as NVIDIA Ray Tracing RTX technology and APIs such as Microsoft DXR, NVIDIA OptiX ™ and Ray Tracing Vulkan to deliver a real-time Ray Tracing experience .

New shading advances:

Mesh shading.

Mesh shading advances the NVIDIA geometry processing architecture by offering a new shading model for the shading stages of vertices, tessellations and geometries of the graphics pipe, which supports more flexible and efficient approaches to geometry calculation . This more flexible model makes it possible, for example, to admit an order of magnitude with more objects per scene, moving the bottleneck of the object lists outside the CPU towards highly parallel GPU mesh shading programs. Mesh shading also allows new algorithms for advanced geometric synthesis and LOD object handling.

Variable Rate Shading (VRS)

VRS allows developers to dynamically control the shading rate, shading only once every sixteen pixels or up to eight times per pixel. The application specifies the shading rate using a combination of a shading surface and a “per-primitive” value (triangle). VRS is a very powerful tool that allows developers to shade more efficiently, reducing work in regions of the screen where total resolution shading would not give any visible benefit to image quality, and therefore, would improve frame rate . Several classes of VRS-based algorithms have already been identified, which can vary the shading job according to the level of detail of the content (adaptive content shading), the speed of content movement (shading adaptable to the movement) and applications of virtual reality, lens resolution and eye position (Foveated Rendering).

Texture and space shading

With texture space shading, objects are shaded in a private coordinate space (a texture space) that is stored in memory, and pixel shaders sample that space instead of directly evaluating the results. With the ability to cache shading results in memory and reuse / resample them, developers can eliminate duplicate shading work or use different sampling approaches that improve quality.

Multiple view representation (MVR)

MVR powerfully extends Pascal’s single stereo step (SPS). While SPS allowed the representation of two views that were common, except for an X offset, MVR allows the representation of multiple views in a single pass, even if the views are based on completely different origin positions or view directions. Access is made through a simple programming model in which the compiler automatically considers the code independent of the view, while identifying the attributes dependent on the view for optimal execution.

Deep learning functions for graphics

NVIDIA NGX ™ is the new neural graphics framework based on deep learning of NVIDIA RTX technology. NVIDIA NGX uses deep neural networks (DNN) and a set of “neural services” to perform functions based on artificial intelligence that accelerate and improve graphics, representation and other client-side applications. NGX employs Turing Tensor Core for deep learning operations and accelerates the delivery of NVIDIA deep learning research directly to the end user. Features include ultra-high-quality NGX DLSS (Deep Learning Super-Sampling), AI InPainting image replacement with sensitive content, very high quality Slow-Mo AI and smooth slow motion, and AI Super Rez intelligent image change resolution .

Deep learning functions for inference

Turing GPUs offer exceptional inference performance. The Turing Tensor cores, together with the continuous improvements in the TensorRT (NVIDIA runtime inference framework), CUDA and CuDNN libraries, allow Turing GPUs to offer exceptional performance for inference applications. Turing Tensor Cores also add support for fast INT8 matrix operations to significantly accelerate inference performance with minimal loss of accuracy. New low precision INT4 matrix operations are now possible with Turing Tensor Cores and will allow research and development in sub 8-bit neural networks.

GDDR6 high performance memory subsystem

Turing is the first GPU architecture compatible with GDDR6 memory. GDDR6 is the next major advance in the design of DRAM GDDR high bandwidth memory. The GDDR6 memory interface circuits in the Turing GPUs have been completely redesigned for speed, energy efficiency and noise reduction, achieving transfer rates of 14 Gbps with an improved energy efficiency of 20% compared to the GDDR5X memory used in Pascal’s GPUs.

USB-C and VirtualLink

Turing GPUs include hardware support for USB Type-C ™ and VirtualLink ™ 4. VirtualLink is a new open industry standard that is being developed to meet the power, screen and bandwidth demands of upcoming VR headsets generation through a single USB-C connector. In addition to easing the inconvenience of configuration present in VR headsets today, VirtualLink will bring virtual reality to more devices.


Fabrication process7 nm14 nm12 nm12 nm16nm12 nm12 nm
CodenameVega 20Vega 10TuringTuringPascalTuringTuring
GPU CoreVega20Vega10TU102-300TU104-400GP102TU106-400A-A1TU106-400A-A1
CUDA Cores3840409643522944358423042304
Texture Units240256272184224144144
Tensor Cores544368288288
Core / Boost Clock1400 MHz / 1750 MHz1274 MHz / 1546 MHz1350 MHZ / 1635 MHz1515 MHz / 1800 MHz1481 MHz / 1582 MHz1410 MHz / 1635 MHz1410 MHz / 1710 MHz
Memory clock2 Gbps1.89 Gbps14 Gbps14 Gbps11 Gbps14 Gbps14 Gbps
Memory Bus4096-bit2048-bit352-bit256-bit352-bit256-bit256-bit
Power Connectors2x 8 pin2x 8 pin2x 8 pin1x 8 pin + 1x 6 pin1x 8 pin + 1x 6 pin1x 8 pin + 1x 6 pin1x 8 pin
TDP300 W295w260W225W250W175W175W
PriceMSRP: $ 699MSRP: $ 499MSRP: $ 1199MSRP FE: $ 799
MSRP “NO FAITH”: $ 699
MSRP: $ 699

First look.

The main qualities that this ASUS model provides can be seen on the back side of the packaging, new design on the heatsink, protective backplate and IP5X blades are some of the technologies that this model brings.

Unlike the internal packaging that we saw in the DUAL RTX 2080 model, for this RTX 2070 model we only found a common box, same as we have seen during the last time of ASUS for this series.

The ASUS DUAL version for the RTX 2070 model consists of two 85mm fans, in a sober design, devoid of lights.

The video card (PCB) has a length of 26.5 CM, dimensions that the vast majority of mid-tower cabinets are capable of housing.

The video connectors provide 3x Display Port and 1x HDMI, in addition to this as an element of the RTX series we can find a USB Type-C for VR experience.

In a rear view of the video card, we find a backplate with a fairly attractive design within the formality of this model. This backplate has the duty to protect the sensitive components of this area, since it has no contact to deliver efficient dissipation to the video card.

The fans unlike other versions, have individual connectors, this offers independence in the activation of these as well as the possibility of changing the independent speeds of each of them.

The ASUS DUAL models normally occupy a referential PCB, so the electrical system will have the same characteristics as the version designed by NVIDIA, for example, 6 + 8 auxiliary power connectors are maintained.

Later we can see the PCB with a series of electrically sensitive elements, now we can see exactly the great utility of the backplate in this model.

The power phases show a 6 + 2 configuration, we can see the spaces for both the VRM and the phases that are filled for the RTX 2080 model, a practice widely used in manufacturers to save on PCB production.

The memories of this model come from the hand of SAMSUNG in the K4Z80325BC-HC14 8GB model (8 x 1GB).

As we have seen in other ASUS DUAL RTX models, a large aluminum heatsink with copper heatpipe are the main elements that keep the GPU and sensitive components such as VRM refrigerated. We can see how the heatpipe are making contact with the length of the video card giving the greatest efficiency in heat dissipation.

Active cooling is provided by two 85mm fans from the manufacturer First D, a manufacturer that has been present in a number of assembler models. The First D model FDC10U12S9-C is used in a series of models within ASUS so if at any time you need a replacement of these, getting them will be quite easy.

Testing and Methodology Platform.

Test Platform
Processor– Intel Core i7 8086K
Memories– G. SKILL TRIDENTZ 3200MHz 2x8GB
Refrigeration– EK-XLC Predator 240
Graphics card– ASUS DUAL RTX 2070 ADVANCED 8GB
Power supply– Corsair RM1000X
Storage– SAMSUNG 960PRO 512GB M.2
Monitor– ASUS MG28UQ

  • Windows 10 Pro x64 operating system.
  • The tests were performed in an environment with a temperature of approximately 25 ° C.
  • The platform was used without a cabinet.
  • The drivers used for the NVIDIA graphics cards: 418.91 WHQL
  • The resolutions of the synthetic tests are the default ones for each of the benchmarks.
  • The real test resolutions are 1920 × 1080 and 3820 × 2160 with all the maximum available graphics in each game.

Synthetic tests

Real tests


The cooling system of the ASUS DUAL models, offers an improvement over the reference models normally shown by GPU manufacturers. Normally, the reference models deliver blower-based systems as active cooling, ASUS in its DUAL family offers 2 fans which together with a robust heatsink improve the efficiency of this solution.

By dissipating a TDP of 175W which is what the manufacturer says it needs for the GPU, the cooling system of this DUAL model maintains temperatures below 70ºC, which corresponds to an acceptable temperature for the characteristics of the GPU. Although NVIDIA does not compromise high temperatures, it is a factor considering that it gives us the possibility of overclocking and continuing to experience low temperatures.


Although manufacturers usually show us the characteristics of the GPU in TDP, this is an approximate value to understand how much consumption we will have with a certain video card. In the case of this copy of ASUS DUAL, the TDP is 175W, however its consumption is around 180W at maximum load, showing a value very close to what the manufacturer says it needs. As for what is overclocking, the video card experiences an increase in its consumption of + 20%, however when we analyze the temperatures experienced under overclocking this would be under healthy values, demonstrating that overclocking for this model would be totally recommended both for what is consumption as for what is temperature.


We already have the consumption and temperature as favorable factors in this model of RTX 2070, now it’s time to see how many are the values ​​that we could apply in this version of ASUS. Although DUAL models are not powered to overclock mainly because of the configuration of your PCB, it can achieve values ​​that can be interesting to get the most out of our hardware. The assigned values ​​and without compromising a voltage increase are 1573 MHz for the GPU (+ 11.5%) and 1851 MHz for the memories (+ 5.7%), these values ​​show us full stability for this model, we must consider that factors such as ambient temperature, quality of the GPU and drivers used could change the scenario to obtain values.


The DUAL series, has been a series not very famous within ASUS, although knowing the existence of STRIX, the latter is usually the one who gets the highest praise both in its aesthetics and in the potential it delivers in its cooling and overclocking. Particularly for this ASUS model in the RTX 2070 it is an option that compromises a comfortable experience that is the performance of the GPU especially for keeping the GPU at all times at low temperatures and with low noise.

Under overclocking the model behaves stable, with refrigeration being the most important factor in this regard, by keeping the GPU fresh at all times. Although the PCB is referential, a very attractive performance can be achieved under overclocking, around 9% could contribute to the final performance, this could give us about 5 extra SPF without problems in some games.

ASUS during its history, has never been characterized by delivering a model with an attractive price, it has always been a manufacturer that values ​​its quality and its brand differentiation by this factor, however many must know this and that despite having An extra value still rely on this manufacturer. In the national market this model is around $ 510,000 pesos, it is difficult to estimate if the model is within the price considering the wide variety of ways in which the resellers in Chile obtain the hardware, however for this particular model the price seems to be within Of what stores like Amazon delivers as a reference, this model could be one of the cheapest in what is the RTX 2070 GPU, which for someone who knows that RGB does not give more performance or is looking for functionality beyond aesthetic this model is a recommended option.

In the design ASUS has considered that an increase in the height of the heatsink is the best way to deliver greater efficiency in your cooling system, however, that extra on the dissipation surface could be a small problem in some mATX motherboards, that could be covering more than 1 PCI-E connector x1, so before considering a model that occupies more than 2 slots in the expansion bays make sure that your motherboard has several slots within the area of ​​expansion, such as an ASUS B360M-E.

For some reason NVIDIA continues to remove the SLI technology within the range of video cards, it is somewhat strange to consider that this technology is only maintaining it in its high-end models, we must appreciate this technology for those who do not have the money to spend on a high-end model and that it is more profitable to get another mid-range model than a top-of-the-line model, which in the end can offer a similar or superior performance, since it is strange to apply an SLI to a model that in itself with a within the platform offer a much higher performance than other GPUs in the market, such as an RTX 2080Ti that if it has SLI technology

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