GeForce GT 1030 vs GeForce GT 640: 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 GT 640 is better0
No advantages found in our data.
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce GT 1030484 sGeForce GT 6401,298.5 sNo advantage conclusion: small sample in one of the results.
About the measurement and source
- A · NVIDIA GeForce GT 1030
484 s · community measurement, sample 9 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 9 submissions (2 outliers excluded), interquartile range 479.42–494.69; submissions 2021-07-20 to 2022-02-23; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce GT 640
1,298.5 s · community measurement, sample 1 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 1 submissions (0 outliers excluded), interquartile range 1298.45–1298.45; submissions 2022-01-07 to 2022-01-07; CUDA backend. Snapshot 2026-11-14.
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 (52)
| 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 | 1,209.9 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 544.9 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 550.5 | 1,241.9 | reference |
| 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 | 3,537.9 | reference |
| 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 | 36.7 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 102.2 | 31.9 | reference |
| 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 |
| Blender Benchmark 2.82GPU, classroom (CUDA) | — | 6,499.8 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GT 1030 | B · GeForce GT 640 | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | no data | GK107-300-A2 | no data for A |
| Architecture | no data | Kepler | no data for A |
| Shader unitsShader unit counts are comparable only within one architecture. | 384 (CUDA cores) | 384 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | no data | 902 MHz | no data for A |
| Memory | |||
| Video memory | 2 GB | 2 GB | equal |
| Memory type | no data | DDR3 | no data for A |
| Memory bus | no data | 128 bit | no data for A |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | no data | 28.5 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 | 65 W (TDP) | no data for A |
| Interface | PCIe 3.0 | PCIe 3.0 x16 | differs |
Chip
GPU chip
Ano data
BGK107-300-A2
no data for AArchitecture
Ano data
BKepler
no data for AShader units
A384 (CUDA cores)
B384 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
Ano data
B902 MHz
no data for A
Memory
Video memory
A2 GB
B2 GB
equalMemory type
Ano data
BDDR3
no data for AMemory bus
Ano data
B128 bit
no data for AMemory bandwidth
Ano data
B28.5 GB/s
no data for AExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
Ano data
B65 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 3.0 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 GT 640 have?
NVIDIA GeForce GT 1030: 2 GB. NVIDIA GeForce GT 640: 2 GB DDR3, 128-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce GT 1030: PCIe 3.0. NVIDIA GeForce GT 640: PCIe 3.0 x16.
See also
Data sources (2)
- Wikipedia (English) — specifications of NVIDIA GeForce GT 1030, specifications of NVIDIA GeForce GT 640, 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.