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GeForce GT 1030 vs GeForce GTX 670: specs and benchmark comparison

ANVIDIA · GeForce GT

NVIDIA GeForce GT 1030

  • 2 GB

May 17, 2017

BNVIDIA · Kepler

NVIDIA GeForce GTX 670

  • 2 GB GDDR5
  • 170 W

May 10, 2012 · $399 at launch

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 AI

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 GTX 670 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

    No 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 670

    249.6 s · community measurement, sample 5 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 5 submissions (0 outliers excluded), interquartile range 241.79–271.12; submissions 2021-08-29 to 2022-02-16; 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 (61)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)6,902.8—no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)535.8235.3reference
Blender Benchmark 2.82GPU, bmw27 (CUDA)540.7246.3reference
Blender Benchmark 2.83GPU, bmw27 (CUDA)563.9250.9reference
Blender Benchmark 2.90GPU, bmw27 (CUDA)592.7252.1reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)544.9265.7reference
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)1,714.2891.6reference
Blender Benchmark 2.90GPU, classroom (CUDA)1,696.7841.5reference
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)1,460.4823.4reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)1,086.1—no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)1,159.5494.2reference
Blender Benchmark 2.90GPU, fishy_cat (CUDA)1,182.7472.9reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)1,042.1—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)1,146.6463.8reference
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)1,771.4990.4reference
Blender Benchmark 2.93.1GPU, koro (CUDA)1,695.61,203.7reference
Blender Benchmark 2.92GPU, koro (OPTIX)1,814.1—no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)2,8141,399.1reference
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)2,979.91,416.9reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)2,828.21,325.4reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)40.1179.8reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)56.2173.7reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)104.4177.6reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)95.7185.8reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)102.2213.4reference
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)95.6176.4reference
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 2.81GPU, bmw27 (CUDA)—246.5no pair
Blender Benchmark 2.82GPU, classroom (CUDA)—856.3no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)—498.9no pair
Blender Benchmark 2.82GPU, koro (CUDA)—1,150.3no pair
Blender Benchmark 2.90GPU, koro (CUDA)—847.2no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)—1,091.5no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)—1,447.5no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)—1,402no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—183.4no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—182.8no pair

Each benchmark version has its own scale: numbers are compared only within a row.

Specifications

Chip

  • GPU chip

    Ano data

    BGK104-325-A2

    no data for A
  • Architecture

    Ano data

    BKepler

    no data for A
  • Shader units

    A384 (CUDA cores)

    B1,344 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    Ano data

    B915 MHz

    no data for A
  • Boost clock

    Ano data

    B980 MHz

    no data for A

    Clocks 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

    B2 GB

    equal
  • Memory type

    Ano data

    BGDDR5

    no data for A
  • Memory bus

    Ano data

    B256 bit

    no data for A
  • Memory bandwidth

    Ano data

    B192.3 GB/s

    no data for A

    Excludes cache (Infinity Cache / L2), which affects effective bandwidth differently.

Power and dimensions

  • Board power

    Ano data

    B170 W (TDP)

    no data for A

    TGP (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.

AI verdict

Questions and answers

How much video memory do NVIDIA GeForce GT 1030 and NVIDIA GeForce GTX 670 have?

NVIDIA GeForce GT 1030: 2 GB. NVIDIA GeForce GTX 670: 2 GB GDDR5, 256-bit bus.

Which PCIe interface do the cards use?

NVIDIA GeForce GT 1030: PCIe 3.0. NVIDIA GeForce GTX 670: PCIe 3.0 x16.

Data sources (2)
  • Wikipedia (English) — specifications of NVIDIA GeForce GT 1030, specifications of NVIDIA GeForce GTX 670, 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 2.81, 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.

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