RTX 5000 Mobile Ada Embedded vs GeForce RTX 2060 Super
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
| Place in the ranking | 89 | not rated |
| Place by popularity | 19 | not in top-100 |
| Cost-effectiveness evaluation | 47.40 | no data |
| Power efficiency | 17.07 | no data |
| Architecture | Turing (2018−2022) | Ada Lovelace (2022−2024) |
| GPU code name | TU106 | AD103 |
| Market segment | Desktop | Laptop |
| Release date | 9 July 2019 (5 years ago) | 21 March 2023 (1 year ago) |
| Launch price (MSRP) | $399 | no data |
Cost-effectiveness evaluation
Performance to price ratio. The higher, the better.
Detailed specifications
General parameters such as number of shaders, GPU core base clock and boost clock speeds, manufacturing process, texturing and calculation speed. Note that power consumption of some graphics cards can well exceed their nominal TDP, especially when overclocked.
| Pipelines / CUDA cores | 2176 | 9728 |
| Core clock speed | 1470 MHz | 1425 MHz |
| Boost clock speed | 1650 MHz | 2115 MHz |
| Number of transistors | 10,800 million | 45,900 million |
| Manufacturing process technology | 12 nm | 5 nm |
| Power consumption (TDP) | 175 Watt | 120 Watt |
| Texture fill rate | 224.4 | 643.0 |
| Floating-point processing power | 7.181 TFLOPS | 41.15 TFLOPS |
| ROPs | 64 | 112 |
| TMUs | 136 | 304 |
| Tensor Cores | 272 | 304 |
| Ray Tracing Cores | 34 | 76 |
Form factor & compatibility
Information on compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop graphics cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility).
| Interface | PCIe 3.0 x16 | PCIe 4.0 x16 |
| Length | 229 mm | no data |
| Width | 2-slot | no data |
| Supplementary power connectors | 1x 8-pin | no data |
VRAM capacity and type
Parameters of VRAM installed: its type, size, bus, clock and resulting bandwidth. Integrated GPUs have no dedicated video RAM and use a shared part of system RAM.
| Memory type | GDDR6 | GDDR6 |
| Maximum RAM amount | 8 GB | 16 GB |
| Memory bus width | 256 Bit | 256 Bit |
| Memory clock speed | 1750 MHz | 2250 MHz |
| Memory bandwidth | 448.0 GB/s | 576.0 GB/s |
| Shared memory | - | - |
Connectivity and outputs
Types and number of video connectors present on the reviewed GPUs. As a rule, data in this section is precise only for desktop reference ones (so-called Founders Edition for NVIDIA chips). OEM manufacturers may change the number and type of output ports, while for notebook cards availability of certain video outputs ports depends on the laptop model rather than on the card itself.
| Display Connectors | 1x DVI, 1x HDMI, 2x DisplayPort, 1x USB Type-C | Portable Device Dependent |
| HDMI | + | - |
| G-SYNC support | + | - |
Supported technologies
Supported technological solutions. This information will prove useful if you need some particular technology for your purposes.
| VR Ready | + | no data |
API compatibility
List of supported 3D and general-purpose computing APIs, including their specific versions.
| DirectX | 12 Ultimate (12_1) | 12 Ultimate (12_2) |
| Shader Model | 6.5 | 6.7 |
| OpenGL | 4.6 | 4.6 |
| OpenCL | 1.2 | 3.0 |
| Vulkan | 1.2.131 | 1.3 |
| CUDA | 7.5 | 8.9 |
Pros & cons summary
| Recency | 9 July 2019 | 21 March 2023 |
| Maximum RAM amount | 8 GB | 16 GB |
| Chip lithography | 12 nm | 5 nm |
| Power consumption (TDP) | 175 Watt | 120 Watt |
RTX 5000 Mobile Ada Embedded has an age advantage of 3 years, a 100% higher maximum VRAM amount, a 140% more advanced lithography process, and 45.8% lower power consumption.
We couldn't decide between GeForce RTX 2060 Super and RTX 5000 Mobile Ada Embedded. We've got no test results to judge.
Be aware that GeForce RTX 2060 Super is a desktop card while RTX 5000 Mobile Ada Embedded is a notebook one.
Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.
Comparisons with similar GPUs
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