GeForce GT 1030 vs GeForce RTX 4090 D: 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 AIAdvantages
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 4090 D is better1
Video memory 22 GB more24 GB vs 2 GB
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GT 103059.7 samples/minGeForce RTX 4090 D10,724 samples/minNo advantage conclusion: small sample in one of the results.
About the measurement and source
- A · NVIDIA GeForce GT 1030
59.7 samples/min · community measurement, sample 10 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 10 submissions (0 outliers excluded), interquartile range 50.58–71.35; submissions 2025-08-06 to 2025-11-01; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 4090 D
10,724 samples/min · community measurement, sample 4 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 4 submissions (0 outliers excluded), interquartile range 9888.69–11246.13; submissions 2025-08-13 to 2025-12-21; OPTIX backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Cycles render in Blender Benchmark. Median of the sum of samples per minute over three scenes after removing outliers.
Reference results (55)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 6,902.8 | — | no pair |
| 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 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 | 11,863.2 | reference |
| 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 | 10,675.2 | reference |
| 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 |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 10,713 | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 11,007.3 | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 10,349.6 | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 10,085.9 | 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 4090 D | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | no data | AD102-250-A1 | no data for A |
| Architecture | no data | Ada Lovelace | no data for A |
| Shader unitsShader unit counts are comparable only within one architecture. | 384 (CUDA cores) | 14,592 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | no data | 2,280 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 | 2,520 MHz | no data for A |
| Memory | |||
| Video memory | 2 GB | 24 GB | B: 22 GB more |
| Memory type | no data | GDDR6X | no data for A |
| Memory bus | no data | 384 bit | no data for A |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | no data | 1,008 GB/s | 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 | 425 W (TDP) | no data for A |
| Interface | PCIe 3.0 | PCIe 4.0 x16 | differs |
Chip
GPU chip
Ano data
BAD102-250-A1
no data for AArchitecture
Ano data
BAda Lovelace
no data for AShader units
A384 (CUDA cores)
B14,592 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
Ano data
B2,280 MHz
no data for ABoost clock
Ano data
B2,520 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
B24 GB
B: 22 GB moreMemory type
Ano data
BGDDR6X
no data for AMemory bus
Ano data
B384 bit
no data for AMemory bandwidth
Ano data
B1,008 GB/s
no data for AExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
Ano data
B425 W (TDP)
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.
Interface
APCIe 3.0
BPCIe 4.0 x16
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 4090 D have?
NVIDIA GeForce GT 1030: 2 GB. NVIDIA GeForce RTX 4090 D: 24 GB GDDR6X, 384-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce GT 1030: PCIe 3.0. NVIDIA GeForce RTX 4090 D: PCIe 4.0 x16.
See also
Data sources (2)
- Wikipedia (English) — specifications of NVIDIA GeForce GT 1030, specifications of NVIDIA GeForce RTX 4090 D, release date and launch pricechecked November 14, 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.