GeForce GT 1030 vs GeForce GTX TITAN z: 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 GTX TITAN z 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 GTX TITAN z118.6 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 GTX TITAN z
118.6 s · community measurement, sample 1 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 1 submissions (0 outliers excluded), interquartile range 118.55–118.55; submissions 2022-02-12 to 2022-02-12; 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 (54)
| 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 2.92GPU, 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 | 449.6 | reference |
| 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 | 295.4 | reference |
| 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 | 510.9 | reference |
| 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 | 730.3 | reference |
| 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 | 451.6 | reference |
| 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 |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | — | 1,311.6 | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 453.7 | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 328.2 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GT 1030 | B · GeForce GTX TITAN z | Difference |
|---|---|---|---|
| Chip | |||
| Shader unitsShader unit counts are comparable only within one architecture. | 384 (CUDA cores) | no data | no data for B |
| Clocks | |||
| Base clock | no data | 705 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 | 876 MHz | no data for A |
| Memory | |||
| Video memory | 2 GB | no data | no data for B |
| Memory type | no data | GDDR5 | 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 | 375 W (TDP) | no data for A |
| Interface | PCIe 3.0 | PCIe 3.0 x16 | differs |
Chip
Shader units
A384 (CUDA cores)
Bno data
no data for BShader unit counts are comparable only within one architecture.
Clocks
Base clock
Ano data
B705 MHz
no data for ABoost clock
Ano data
B876 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
Bno data
no data for BMemory type
Ano data
BGDDR5
no data for A
Power and dimensions
Board power
Ano data
B375 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
Which PCIe interface do the cards use?
NVIDIA GeForce GT 1030: PCIe 3.0. NVIDIA GeForce GTX TITAN z: PCIe 3.0 x16.
See also
Data sources (2)
- Wikipedia (English) — specifications of NVIDIA GeForce GT 1030, specifications of NVIDIA GeForce GTX TITAN z, 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 3.2.0, 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.