RTX 4000 Ada Generation vs Nvidia GeForce GTX 1050 3GB Mobile
Aggregate performance score
We've compared GeForce GTX 1050 3GB Mobile with RTX 4000 Ada Generation, including specs and performance data.
RTX 4000 Ada Generation outperforms Nvidia GTX 1050 3GB Mobile by a whopping 409% based on our aggregate benchmark results.
Primary details
GPU architecture, market segment, value for money and other general parameters compared.
Place in the ranking | 392 | 29 |
Place by popularity | not in top-100 | not in top-100 |
Power efficiency | no data | 34.45 |
Architecture | Pascal (2016−2021) | Ada Lovelace (2022−2024) |
GPU code name | no data | AD104 |
Market segment | Laptop | Workstation |
Release date | April 2018 (6 years ago) | 9 August 2023 (1 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 | 768 | 6144 |
Core clock speed | 1366 MHz | 1500 MHz |
Boost clock speed | 1442 MHz | 2175 MHz |
Number of transistors | no data | 35,800 million |
Manufacturing process technology | 14 nm | 5 nm |
Power consumption (TDP) | no data | 130 Watt |
Texture fill rate | no data | 417.6 |
Floating-point processing power | no data | 26.73 TFLOPS |
ROPs | no data | 80 |
TMUs | no data | 192 |
Tensor Cores | no data | 192 |
Ray Tracing Cores | no data | 48 |
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 | no data | PCIe 4.0 x16 |
Length | no data | 245 mm |
Width | no data | 1-slot |
Supplementary power connectors | no data | 1x 16-pin |
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 | 3 MB | 20 GB |
Memory bus width | 96 Bit | 160 Bit |
Memory clock speed | 1752 MHz | 2250 MHz |
Memory bandwidth | 84 GB/s | 360.0 GB/s |
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 | no data | 4x mini-DisplayPort 1.4a |
G-SYNC support | + | - |
Supported technologies
Supported technological solutions. This information will prove useful if you need some particular technology for your purposes.
Multi-Projection | + | no data |
Multi Monitor | + | no data |
API compatibility
List of supported 3D and general-purpose computing APIs, including their specific versions.
DirectX | no data | 12 Ultimate (12_2) |
Shader Model | no data | 6.8 |
OpenGL | no data | 4.6 |
OpenCL | no data | 3.0 |
Vulkan | + | 1.3 |
CUDA | - | 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 | 12.62 | 64.22 |
Maximum RAM amount | 3 MB | 20 GB |
Chip lithography | 14 nm | 5 nm |
RTX 4000 Ada Generation has a 408.9% higher aggregate performance score, a 682566.7% higher maximum VRAM amount, and a 180% more advanced lithography process.
The RTX 4000 Ada Generation is our recommended choice as it beats the GeForce GTX 1050 3GB Mobile in performance tests.
Be aware that GeForce GTX 1050 3GB Mobile is a notebook card while RTX 4000 Ada Generation is a workstation 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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