Nvidia RTX 500 Ada Generation Mobile vs GeForce GTX 1060 5 GB
Aggregate performance score
We've compared GeForce GTX 1060 5 GB with RTX 500 Ada Generation Mobile, including specs and performance data.
Nvidia RTX 500 Ada Generation Mobile outperforms GTX 1060 5 GB by a moderate 16% based on our aggregate benchmark results.
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
Place in the ranking | 239 | 202 |
Place by popularity | not in top-100 | not in top-100 |
Power efficiency | 13.48 | 53.57 |
Architecture | Pascal (2016−2021) | Ada Lovelace (2022−2024) |
GPU code name | GP106 | AD107 |
Market segment | Desktop | Mobile workstation |
Release date | 26 December 2017 (7 years ago) | 26 February 2024 (less than a year ago) |
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 | 1280 | 2048 |
Core clock speed | 1506 MHz | 1485 MHz |
Boost clock speed | 1709 MHz | 2025 MHz |
Number of transistors | 4,400 million | 18,900 million |
Manufacturing process technology | 16 nm | 5 nm |
Power consumption (TDP) | 120 Watt | 35 Watt |
Texture fill rate | 136.7 | 129.6 |
Floating-point processing power | 4.375 TFLOPS | 8.294 TFLOPS |
ROPs | 40 | 32 |
TMUs | 80 | 64 |
Tensor Cores | no data | 64 |
Ray Tracing Cores | no data | 16 |
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).
Laptop size | no data | medium sized |
Interface | PCIe 3.0 x16 | PCIe 4.0 x8 |
Length | 250 mm | no data |
Width | 2-slot | no data |
Supplementary power connectors | 1x 6-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 | GDDR5 | GDDR6 |
Maximum RAM amount | 5 GB | 4 GB |
Memory bus width | 160 Bit | 64 Bit |
Memory clock speed | 2002 MHz | 2000 MHz |
Memory bandwidth | 160.2 GB/s | 128.0 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, 3x DisplayPort | Portable Device Dependent |
HDMI | + | - |
API compatibility
List of supported 3D and general-purpose computing APIs, including their specific versions.
DirectX | 12 (12_1) | 12 Ultimate (12_2) |
Shader Model | 6.4 | 6.8 |
OpenGL | 4.6 | 4.6 |
OpenCL | 1.2 | 3.0 |
Vulkan | 1.2.131 | 1.3 |
CUDA | 6.1 | 8.9 |
Gaming performance
Let's see how good the compared graphics cards are for gaming. Particular gaming benchmark results are measured in FPS.
Pros & cons summary
Performance score | 23.56 | 27.30 |
Recency | 26 December 2017 | 26 February 2024 |
Maximum RAM amount | 5 GB | 4 GB |
Chip lithography | 16 nm | 5 nm |
Power consumption (TDP) | 120 Watt | 35 Watt |
GTX 1060 5 GB has a 25% higher maximum VRAM amount.
Nvidia RTX 500 Ada Generation Mobile, on the other hand, has a 15.9% higher aggregate performance score, an age advantage of 6 years, a 220% more advanced lithography process, and 242.9% lower power consumption.
The RTX 500 Ada Generation Mobile is our recommended choice as it beats the GeForce GTX 1060 5 GB in performance tests.
Be aware that GeForce GTX 1060 5 GB is a desktop card while RTX 500 Ada Generation Mobile is a mobile workstation one.
Should you still have questions concerning choice between the reviewed GPUs, ask them in Comments section, and we shall answer.
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