GeForce GT 1030 vs GeForce RTX 3060 8 GB: specs and benchmark comparison
Short verdict
Not enough data for a performance conclusion: the database has no comparable benchmarks for this pair. Below are the key differences in official specifications.
Compare with AISome Blender runs list only the shared GPU name. Open the comparison by shared name.
Advantages
Only measured and rated values: a noticeable benchmark gap and specs where more is better.
Where GeForce GT 1030 is better0
No advantages found in our data.
Where GeForce RTX 3060 8 GB is better1
Video memory 6 GB more8 GB vs 2 GB
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
Blender Benchmark 2.81a
GPU, barbershop_interior (CUDA) · s, lower is better
GeForce GT 10306,902.8 sGeForce RTX 3060 8 GBno dataNo advantage conclusion: no comparable result for the second model.
About the measurement and source
- A · NVIDIA GeForce GT 1030
6,902.8 s · community measurement, sample 1 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 1 submissions (0 outliers excluded), interquartile range 6902.75–6902.75; submissions 2020-01-25 to 2020-01-25; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3060 8 GB
- no comparable result
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
Reference results (51)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 535.8 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 540.7 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 563.9 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 592.7 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 544.9 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 550.5 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 484 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 604.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 629.9 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 1,597.6 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 1,714.2 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 1,696.7 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 1,989.4 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 1,637.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 1,460.4 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 1,086.1 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 1,159.5 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 1,182.7 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 1,042.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 1,146.6 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 1,554.5 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 1,803.8 | — | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | 1,771.4 | — | no pair |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 1,695.6 | — | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 1,814.1 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 2,814 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 2,979.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 2,828.2 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 40.1 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 56.2 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 104.4 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 95.7 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 102.2 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 105.5 | — | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 96.1 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 95.6 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 45.1 | — | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 51.5 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 55.2 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 48.6 | — | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 54.8 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 59.7 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 56.9 | — | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 71 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 80.5 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 86.3 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 77 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 69.6 | — | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 75.5 | — | no pair |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 47 | — | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 45.6 | — | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GT 1030 | B · GeForce RTX 3060 8 GB | Difference |
|---|---|---|---|
| Chip | |||
| Architecture | no data | Ampere | no data for A |
| Shader unitsShader unit counts are comparable only within one architecture. | 384 (CUDA cores) | 3,584 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | no data | 1,320 MHz | no data for A |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | no data | 1,780 MHz | no data for A |
| Memory | |||
| Video memory | 2 GB | 8 GB | B: 6 GB more |
| Memory type | no data | GDDR6 | no data for A |
| Memory bus | no data | 128 bit | no data for A |
| Power and dimensions | |||
| Board powerTGP (NVIDIA) and TBP (AMD/Intel) are calculated differently; higher is not better. For laptops, the chip maker sets the range and the laptop maker picks the value, so the same chip behaves differently in different laptops. | no data | 170 W (board power) | no data for A |
| Recommended PSU | no data | 550 W | no data for A |
| Interface | PCIe 3.0 | PCIe 4.0 | differs |
Chip
Architecture
Ano data
BAmpere
no data for AShader units
A384 (CUDA cores)
B3,584 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
Ano data
B1,320 MHz
no data for ABoost clock
Ano data
B1,780 MHz
no data for AClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit.
Memory
Video memory
A2 GB
B8 GB
B: 6 GB moreMemory type
Ano data
BGDDR6
no data for AMemory bus
Ano data
B128 bit
no data for A
Power and dimensions
Board power
Ano data
B170 W (board power)
no data for ATGP (NVIDIA) and TBP (AMD/Intel) are calculated differently; higher is not better. For laptops, the chip maker sets the range and the laptop maker picks the value, so the same chip behaves differently in different laptops.
Recommended PSU
Ano data
B550 W
no data for AInterface
APCIe 3.0
BPCIe 4.0
differs
“More” does not always mean “better”: higher power draw or size is a system requirement, not an advantage (such bars are dimmed).
Compare with AI
An AI model reviews the specs and benchmarks of this pair and gives a plain-language verdict on who each model suits.
Questions and answers
How much video memory do NVIDIA GeForce GT 1030 and NVIDIA GeForce RTX 3060 8 GB have?
NVIDIA GeForce GT 1030: 2 GB. NVIDIA GeForce RTX 3060 8 GB: 8 GB GDDR6, 128-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce GT 1030: PCIe 3.0. NVIDIA GeForce RTX 3060 8 GB: PCIe 4.0.
See also
Data sources (3)
- Wikipedia (English) — specifications of NVIDIA GeForce GT 1030, release date and launch pricechecked November 14, 2026
- NVIDIA — specifications of NVIDIA GeForce RTX 3060 8 GBchecked November 7, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.