NVIDIA GeForce RTX 2070 SUPER Mobile

The NVIDIA GeForce RTX 2070 SUPER Mobile represents the high end of the Turing mobile generation, positioned at the 50th percentile of all GPUs in the database. This places it squarely in the middle of the performance spectrum, indicating a capable chip for its era, though not a top-tier flagship. The data shows a mobile part built on the 12 nm TU104 die, a substantial chip with 13,600 million transistors on a 545 mm² die, which is a significant engineering investment for a laptop component. The performance figures and memory configuration suggest a device designed for high-refresh-rate 1440p gaming and entry-level 4K experiences, with a clear focus on balancing power consumption against raw throughput.

The segment’s placement at the 50th percentile is telling. It does not dominate the field, but it also does not lag behind. This is a mainstream enthusiast part, one that would have been the sensible choice for gamers seeking high settings without the premium of a full flagship. The architecture, Turing, brings with it dedicated hardware for ray tracing and AI, which were the defining features of this generation. However, the mobile form factor imposes limits, and the 115 W TDP is a clear constraint that shapes its performance characteristics. This analysis will break down what the benchmark results and specifications imply for real-world usage, memory demands, and overall positioning against its contemporaries.

Benchmark Performance

The benchmark data for the RTX 2070 SUPER Mobile is notably sparse, with an `avgBenchmarkScore` of 0 and no specific entries in the `benchmarks` array. This absence of raw scores is unusual, but the `percentileVsAllGpus` field provides a critical anchor: the GPU sits at the 50th percentile. This means that in the database's historical results, it outperforms half of all GPUs tested and is outperformed by the other half. Without rival names or deltaPct values in the `nearestRivals` array, direct percentage comparisons are impossible. The interpretation must therefore rely on this percentile positioning and the theoretical compute metrics.

The FP32 performance is rated at 7.066 TFLOPS, which is the standard measure for traditional gaming workloads. This number, derived from 2560 shading units at a boost clock of 1380 MHz, indicates a solid throughput for rasterization. The FP16 figure of 14.13 TFLOPS (2:1) suggests that the architecture can accelerate half-precision compute, but this is less relevant for most gaming scenarios and more applicable to compute tasks that leverage the Tensor Cores. The pixel rate of 88.32 GPixel/s, driven by 64 ROPs, and the texture rate of 220.8 GTexel/s, from 160 TMUs, are balanced enough to avoid obvious bottlenecks at 1080p and 1440p resolutions. The data suggests a GPU that is 50th percentile because it delivers consistent, predictable performance rather than exceptional outlier results.

The lack of deltaPct values means we cannot quantify the lead or deficit against specific rivals. The performance is what it is: a mid-pack showing. For a mobile part, this is often a compromise between thermals and power. The 12 nm process node, while mature, is not the most efficient, which likely caps the boost clock at 1380 MHz. A higher clock would push more heat, and the 115 W TDP is a hard limit for the cooling solutions of that era. The implication is that the RTX 2070 SUPER Mobile is a consistent performer, but it will not surprise with sudden spikes in frame rates. It is a dependable choice for its generation, offering a predictable experience across a wide range of titles.

Memory Subsystem

The memory configuration is a strong point for this mobile GPU. It is equipped with 8 GB of GDDR6 memory on a 256-bit bus, yielding a bandwidth of 448.0 GB/s. The effective memory speed is 14 Gbps, which was a high standard for 2020 mobile parts. This bandwidth is crucial for feeding the 2560 shading units, especially at higher resolutions where texture data and frame buffers grow larger. The 8 GB capacity is also a significant advantage, as it allows for high-resolution textures without the need for aggressive streaming or quality reductions.

For high-resolution gaming, the data implies a capable subsystem. The 448.0 GB/s bandwidth is sufficient for 1440p with high detail settings and can handle 4K, though with some compromises. The 256-bit bus width is a key indicator of memory efficiency, as it provides a wider path for data transfer compared to narrower 128-bit or 192-bit buses found in lower-tier GPUs. This means that the RTX 2070 SUPER Mobile is less likely to experience stuttering from memory bandwidth saturation in demanding scenes. The 8 GB capacity, in particular, is future-proofing for its time, as many games of that period were beginning to exceed 6 GB usage on maximum settings. The memory subsystem is not a bottleneck for this GPU; it is a feature that supports its mid-pack performance ranking.

Who Should Consider It

Based on the 50th percentile ranking and the memory configuration, the RTX 2070 SUPER Mobile is best suited for gamers who prioritize high frame rates at 1440p resolution. The data suggests that this GPU can handle the majority of titles at this resolution with high to ultra settings, delivering smooth gameplay. It is also a viable option for 1080p gaming at maximum refresh rates, where the pixel rate of 88.32 GPixel/s and texture rate of 220.8 GTexel/s are more than adequate to push well beyond 60 frames per second. For 4K resolution, the 8 GB of VRAM and 448.0 GB/s bandwidth are sufficient, but the raw compute power of 7.066 TFLOPS may require adjusting settings to high rather than ultra to maintain playable frame rates.

Users who play esports titles or fast-paced shooters will find this GPU capable of driving high-refresh-rate monitors at 1080p. The consistent performance indicated by the 50th percentile suggests a stable experience without major frame time spikes. For content creators, the 320 Tensor Cores and 40 RT Cores offer acceleration for AI-assisted workflows and ray-traced rendering, though the FP32 performance is the primary driver for traditional GPU-accelerated tasks. This is not a GPU for those seeking 4K ultra settings on the latest AAA titles; the data indicates it is a mid-range performer that excels in the mainstream resolution sweet spot. It is a logical choice for a laptop that balances portability with gaming capability, offering a robust experience for most users without the need for a desktop-class GPU.

FAQ

Q: What is the percentile ranking of the RTX 2070 SUPER Mobile?

A: The GPU sits at the 50th percentile of all GPUs in the database, indicating it performs better than half of all tested GPUs and worse than the other half.

Q: How much memory does this GPU have and what is its bandwidth?

A: It features 8 GB of GDDR6 memory on a 256-bit bus, providing a bandwidth of 448.0 GB/s.

Q: What is the thermal design power (TDP) of this mobile GPU?

A: The TDP is rated at 115 W, which is a key factor in its power consumption and cooling requirements.

Q: What is the boost clock speed?

A: The boost clock is 1380 MHz, with a base clock of 1140 MHz.

Q: What are the key compute metrics for this GPU?

A: The FP32 performance is 7.066 TFLOPS, the pixel rate is 88.32 GPixel/s, and the texture rate is 220.8 GTexel/s.

Q: Does the GPU support DirectX 12 Ultimate?

A: Yes, the API support includes DirectX 12 Ultimate (12_2), along with OpenGL 4.6 and Vulkan 1.4.

Ray Tracing and Feature Set

The RTX 2070 SUPER Mobile is built on the Turing architecture, which introduced dedicated ray tracing and tensor core hardware. The data shows 40 RT Cores and 320 Tensor Cores. The RT Cores are responsible for accelerating ray-traced lighting, shadows, and reflections, while the Tensor Cores handle AI-based tasks such as deep learning super sampling (DLSS) and other neural network computations. This feature set was a major differentiator for the GeForce 20-series, and this mobile variant includes it fully.

The API support is comprehensive for its generation: DirectX 12 Ultimate (12_2) is present, which ensures compatibility with the latest graphical features available at the time. OpenGL 4.6 and Vulkan 1.4 round out the API support, making it versatile for various game engines and compute applications. The FP16 performance of 14.13 TFLOPS (2:1) is a direct result of the Tensor Cores, which can perform mixed-precision calculations efficiently. The 40 RT Cores, while not as numerous as in desktop flagship models, still provide functional ray tracing capabilities. Benchmark results are not available to quantify the RT performance, but the hardware presence indicates that the GPU can handle ray-traced effects at lower resolutions or with DLSS enabled to maintain playable frame rates. This feature set makes it a forward-looking choice for its time, even if the raw performance is mid-pack.

Power and Cooling

The power characteristics are defined by a 115 W TDP, which is a moderate value for a mobile GPU of this performance class. This power envelope requires a robust cooling solution, typically involving multiple fans and heat pipes in a laptop chassis. The slot width is listed as "MXM Module," indicating that the GPU is a replaceable module in some laptops, which allows for better thermal management compared to soldered chips. The power connectors are listed as "None," which suggests that the GPU draws power solely from the MXM slot interface, simplifying installation but also limiting the maximum power draw.

There is no suggested PSU value in the data, which is typical for a mobile part where the power supply is integrated into the laptop adapter. The 115 W TDP is the key figure for understanding thermal output. It implies that the cooling system must dissipate a significant amount of heat, and the laptop's overall power budget must account for this alongside the CPU and other components. The 12 nm process node, while not the most efficient, is manageable at this power level. The data indicates a component that is power-hungry for a laptop but not extreme, making it suitable for larger gaming laptops with adequate cooling. The absence of external power connectors simplifies the design, but it also means the GPU is fully dependent on the laptop's internal power delivery system.

How It Compares

The `nearestRivals` array is empty, and the `percentileVsAllGpus` is the only comparative metric available. This means there are no direct, named rivals with deltaPct values to cite. The comparison must be inferred from the percentile ranking. At the 50th percentile, this GPU is positioned in the middle of the entire GPU landscape. It is not a top-tier performer, as those would be in the 90th percentile or higher. It is also not a low-end part, which would be in the lower quartiles.

The absence of rival data suggests that the GPU's historical benchmark results were either not recorded or not normalized against a consistent set of competitors. In the context of its generation, it would have competed with other high-end mobile GPUs from the same era, but without specific scores, we cannot state a percentage advantage or disadvantage. The 50th percentile indicates a balanced performance profile, one that is neither a leader nor a laggard. The 8 GB of VRAM and 448.0 GB/s bandwidth are competitive specifications, but the compute throughput of 7.066 TFLOPS is the defining factor for its mid-pack placement. It is a GPU that offers a solid, all-around experience without excelling in any single metric, which is a common trait for mobile parts that must balance performance, power, and thermals.