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GeForce GTX 1060 6 GB vs GeForce GTX 980 Ti: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1060 6 GB

  • 6 GB GDDR5
  • 120 W
  • PSU 400 W+

July 19, 2016

BNVIDIA · Maxwell

NVIDIA GeForce GTX 980 Ti

  • 6 GB GDDR5
  • 250 W

June 2, 2015 · $649 at launch

Short verdict

NVIDIA GeForce GTX 980 Ti leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Compare with AI
← GeForce GTX 1060 6 GBGeForce GTX 980 Ti →
  • Rendering and compute

    B +44.2%

    NVIDIA GeForce GTX 980 Ti leads in this scenario (up to 44.2% in comparable benchmarks).

No comparable benchmarks yet: gaming: rasterization, gaming: ray tracing, power efficiency.

Advantages

Only measured and rated values: a noticeable benchmark gap and specs where more is better.

Where GeForce GTX 1060 6 GB is better0

No advantages found in our data.

Where GeForce GTX 980 Ti is better3

  • Blender Benchmark 3.4.0 44.2% faster560 samples/min vs 388 samples/min

  • Memory bus 192 bit more384 bit vs 192 bit

  • Memory bandwidth 144.6 GB/s more336.6 GB/s vs 192 GB/s

Benchmarks

Results are compared within one benchmark, one version and the same conditions.

  • Blender Benchmark 3.4.0

    GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better

    B ahead by 44.2%

    Position among tested models (43, OptiX)

    A · 388B · 560
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce GTX 980 Ti is ahead by 44.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1060 6 GB

    388.2 samples/min · community measurement, sample 91 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 91 submissions (17 outliers excluded), interquartile range 379.2–399.39; submissions 2022-12-08 to 2023-07-20; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 980 Ti

    559.7 samples/min · community measurement, sample 20 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (3 outliers excluded), interquartile range 520.75–576.54; submissions 2023-01-03 to 2023-03-19; 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.

Other comparable benchmarks (1)
BenchmarkABDifference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)392.8545.1B +38.8%

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

Reference results (88)
BenchmarkABDifference
Blender Benchmark 2.81GPU, bmw27 (CUDA)150.894.2reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)156.3104.5reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)154.3115.8reference
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)130.974.9reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)158.894.7reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)163.9100.9reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)519.8339.9reference
Blender Benchmark 2.92GPU, classroom (CUDA)528296.6reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)473.5257.6reference
Blender Benchmark 2.92GPU, classroom (OPTIX)583.9400.9reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)613.1469reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)305.7280.9reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)304.2243.7reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)318.3222.7reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)321.2273.2reference
Blender Benchmark 2.92GPU, koro (CUDA)530.6704.4reference
Blender Benchmark 2.93.1GPU, koro (CUDA)529.8432.4reference
Blender Benchmark 2.92GPU, koro (OPTIX)479.8—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)368—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)866.6622.5reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)797.5424.8reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)895.1—no pair
Blender Benchmark 2.92GPU, victor (CUDA)1,599.71,290.8reference
Blender Benchmark 2.93.1GPU, victor (CUDA)1,242.11,351.2reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)1,279.1—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)382.7—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)454—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)456.1—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)429.8—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)471.9—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)366.4533reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)360.7504.6reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)283.7404.9reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)316.2443reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)445.9592.4reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)388.5553.2reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)383.3542.3reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)392.5526.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)391.2549reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)390.9576.1reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)370.1533.5reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)368.4501.6reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)359.7504.8reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)360.5483.2reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)294.6—no pair
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)308.2449.5reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)—1,009.5no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)—92.9no pair
Blender Benchmark 2.82GPU, bmw27 (CUDA)—92.2no pair
Blender Benchmark 2.83GPU, bmw27 (CUDA)—94.2no pair
Blender Benchmark 2.90GPU, bmw27 (CUDA)—95.8no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)—109.3no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)—104.6no pair
Blender Benchmark 2.81GPU, classroom (CUDA)—303.8no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)—299.4no pair
Blender Benchmark 2.82GPU, classroom (CUDA)—295.8no pair
Blender Benchmark 2.83GPU, classroom (CUDA)—303.8no pair
Blender Benchmark 2.90GPU, classroom (CUDA)—308.5no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)—291.6no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)—347.5no pair
Blender Benchmark 2.81GPU, fishy_cat (CUDA)—199.7no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)—204.2no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)—202.4no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)—201.2no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)—195.4no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)—233.4no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)—214.6no pair
Blender Benchmark 2.81aGPU, koro (CUDA)—452.9no pair
Blender Benchmark 2.82GPU, koro (CUDA)—441.8no pair
Blender Benchmark 2.83GPU, koro (CUDA)—448.1no pair
Blender Benchmark 2.90GPU, koro (CUDA)—368.1no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)—433.8no pair
Blender Benchmark 2.90GPU, koro (OPTIX)—218.8no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)—501.7no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)—482.7no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)—498.5no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)—497.8no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)—553.6no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)—504.7no pair
Blender Benchmark 2.81aGPU, victor (CUDA)—1,256.3no pair
Blender Benchmark 2.82GPU, victor (CUDA)—1,235.3no pair
Blender Benchmark 2.83GPU, victor (CUDA)—1,105.1no pair
Blender Benchmark 2.90GPU, victor (CUDA)—1,018.5no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)—997.4no pair
Blender Benchmark 2.90GPU, victor (OPTIX)—898.6no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—597.2no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—706.5no pair
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—189.4no pair

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

Specifications

Chip

  • GPU chip

    Ano data

    BGM200-310-A1

    no data for A
  • Architecture

    APascal

    BMaxwell

    differs
  • Shader units

    A1,280 (CUDA cores)

    B2,816 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,506 MHz

    B1,000 MHz

    A: 506 MHz more
  • Boost clock

    A1,708 MHz

    B1,076 MHz

    A: 632 MHz more

    Clocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit.

Memory

  • Video memory

    A6 GB

    B6 GB

    equal
  • Memory type

    AGDDR5

    BGDDR5

    equal
  • Memory bus

    A192 bit

    B384 bit

    B: 192 bit more
  • Memory bandwidth

    A192 GB/s

    B336.6 GB/s

    B: 144.6 GB/s more

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

Power and dimensions

  • Board power

    A120 W (board power)

    B250 W (TDP)

    not directly comparable

    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.

  • Recommended PSU

    A400 W

    Bno data

    no data for B
  • Interface

    APCIe 3.0

    Bno data

    no data for B
  • Length (reference / Founders Edition)

    A250 mm

    Bno data

    no data for B

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    Bno data

    no data for B
  • Power connectors (reference)

    A1x 6-pin

    Bno data

    no data for B

“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 GTX 1060 6 GB and NVIDIA GeForce GTX 980 Ti have?

NVIDIA GeForce GTX 1060 6 GB: 6 GB GDDR5, 192-bit bus. NVIDIA GeForce GTX 980 Ti: 6 GB GDDR5, 384-bit bus.

Which is faster: NVIDIA GeForce GTX 1060 6 GB or NVIDIA GeForce GTX 980 Ti?

NVIDIA GeForce GTX 980 Ti leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (3)
  • NVIDIA — specifications of NVIDIA GeForce GTX 1060 6 GBchecked November 7, 2026
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 980 Ti, release date and launch pricechecked November 14, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.81, benchmark Blender Benchmark 2.90.1, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0checked November 14, 2026

How we compare: methodology. Where the data comes from: sources.

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