What's the best choice NVIDIA GeForce GT 1030 or NVIDIA GeForce GTX 1070? Which graphics card is faster?
Compare the available specifications of these models.
NVIDIA GeForce GT 1030 has a base frequency of 1.502 GHz. Memory size 2 GB. Memory type GDDR5. Released in Q2/2017.
NVIDIA GeForce GTX 1070 has a base frequency of 2 GHz. Memory size 8 GB. Memory type GDDR5. Released in Q3/2016.
Reasons to consider Common positions NVIDIA GeForce GT 1030 GPU in popular benchmarks, for comparison with other models.
Reasons to consider Higher clock speed
Around 33% better clock speed
More memory
300% more memory
NVIDIA GeForce GT 1030
Comparison of basic technical data of graphics cards NVIDIA GeForce GT 1030 and NVIDIA GeForce GTX 1070, chip, information processing units.
Video memory capacity, type, bus width and bandwidth describe different properties. These values alone do not determine graphics performance.
Published GPU clock frequencies describe different operating modes. Clock speed alone does not determine graphics performance.
Graphics card power limits and recommended system power supply describe different specifications.
Connectivity and connections.
Technical data that is used to its full potential in computer games.
Built-in support for video and image compression standards.
The difference in size, weight and slot of the compared devices
Comparison of interfaces and release dates for GPU NVIDIA GeForce GTX 1070 and NVIDIA GeForce GT 1030.
Shared tests with results for both models: 2
Each row uses one Blender version, operating system and compute backend.
| Test and settings | NVIDIA GeForce GT 1030 | NVIDIA GeForce GTX 1070 | Result difference¹ |
|---|---|---|---|
| Blender 4.5.0 / OPTIX / Windows | 59.345478 samples/min Submissions: 8 | 520.511331 samples/min Submissions: 62 | +777.1 % |
| Blender 4.4.0 / OPTIX / Windows | 75.499331 samples/min Submissions: 14 | 522.08629 samples/min Submissions: 62 | +591.5 % |
¹ Difference of the second result relative to the first in that row. No percentage is calculated for different upscaling algorithms. This compares published results, not a universal performance index.
These results have no shared test of both models with the same version and settings. They are shown separately without a percentage difference.