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GeForce GTX 980 Ti vs GeForce RTX 2060 SUPER: specs and benchmark comparison

ANVIDIA · Maxwell

NVIDIA GeForce GTX 980 Ti

  • 6 GB GDDR5
  • 250 W

June 2, 2015 · $649 at launch

BNVIDIA · Turing

NVIDIA GeForce RTX 2060 SUPER

  • 8 GB GDDR6
  • 175 W

July 9, 2019 · $399 at launch

Short verdict

NVIDIA GeForce RTX 2060 SUPER 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 980 TiGeForce RTX 2060 SUPER →
  • Rendering and compute

    B +323.2%

    NVIDIA GeForce RTX 2060 SUPER leads in this scenario (up to 323.2% 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 980 Ti is better1

  • Memory bus 128 bit more384 bit vs 256 bit

Where GeForce RTX 2060 SUPER is better10

  • Blender Benchmark 2.90 44.6% lower66 s vs 96 s

  • Blender Benchmark 2.90 58% lower124 s vs 195 s

  • Blender Benchmark 2.90 92.4% lower191 s vs 368 s

  • Blender Benchmark 2.90 7.9% lower461 s vs 498 s

  • Blender Benchmark 2.90 99.6% lower510 s vs 1,018 s

  • Blender Benchmark 3.4.0 313.8% faster2,316 samples/min vs 560 samples/min

  • Video memory 2 GB more8 GB vs 6 GB

  • Memory bandwidth 111.4 GB/s more448 GB/s vs 336.6 GB/s

  • Board power 75 W lower175 W (TDP) vs 250 W (TDP)

  • Launch price $250 lower$399 vs $649

Benchmarks

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

  • Blender Benchmark 2.90

    GPU, bmw27 (CUDA) · s, lower is better

    B ahead by 44.6%

    Position among tested models (27, CUDA)

    B · 66A · 96
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 SUPER is ahead by 44.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 980 Ti

    95.8 s · community measurement, sample 38 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 38 submissions (6 outliers excluded), interquartile range 93.94–99.12; submissions 2020-09-06 to 2021-06-01; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    66.3 s · community measurement, sample 164 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 164 submissions (14 outliers excluded), interquartile range 65.18–67.48; submissions 2020-09-02 to 2021-03-25; 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.

  • Blender Benchmark 2.90

    GPU, classroom (CUDA) · s, lower is better

    2.6% difference, within the threshold

    Position among tested models (25, CUDA)

    B · 301A · 308
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 2.6% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 980 Ti

    308.5 s · community measurement, sample 33 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 33 submissions (4 outliers excluded), interquartile range 295.78–316.04; submissions 2020-09-06 to 2021-02-01; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    300.7 s · community measurement, sample 127 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 127 submissions (13 outliers excluded), interquartile range 295.53–304.9; submissions 2020-09-02 to 2021-01-30; 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.

  • Blender Benchmark 2.90

    GPU, fishy_cat (CUDA) · s, lower is better

    B ahead by 58%

    Position among tested models (22, CUDA)

    B · 124A · 195
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 SUPER is ahead by 58% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 980 Ti

    195.4 s · community measurement, sample 30 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 30 submissions (4 outliers excluded), interquartile range 193.05–203.58; submissions 2020-09-06 to 2021-02-01; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    123.7 s · community measurement, sample 116 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 116 submissions (13 outliers excluded), interquartile range 121.33–125.24; submissions 2020-09-02 to 2021-01-30; 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.

  • Blender Benchmark 2.90

    GPU, koro (CUDA) · s, lower is better

    B ahead by 92.4%

    Position among tested models (22, CUDA)

    B · 191A · 368
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 SUPER is ahead by 92.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 980 Ti

    368.1 s · community measurement, sample 27 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (3 outliers excluded), interquartile range 363.27–383.13; submissions 2020-09-06 to 2021-02-01; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    191.3 s · community measurement, sample 100 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 100 submissions (15 outliers excluded), interquartile range 188.53–194.19; submissions 2020-09-02 to 2021-01-30; 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.

  • Blender Benchmark 2.90

    GPU, pavillon_barcelona (CUDA) · s, lower is better

    B ahead by 7.9%

    Position among tested models (23, CUDA)

    B · 461A · 498
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 SUPER is ahead by 7.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 980 Ti

    497.8 s · community measurement, sample 27 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (3 outliers excluded), interquartile range 483.58–510.64; submissions 2020-09-06 to 2021-02-01; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    461.2 s · community measurement, sample 102 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 102 submissions (14 outliers excluded), interquartile range 452.8–466.95; submissions 2020-09-02 to 2021-01-30; 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.

  • Blender Benchmark 2.90

    GPU, victor (CUDA) · s, lower is better

    B ahead by 99.6%

    Position among tested models (20, CUDA)

    B · 510A · 1,018
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 SUPER is ahead by 99.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 980 Ti

    1,018.5 s · community measurement, sample 24 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (4 outliers excluded), interquartile range 998.23–1095.03; submissions 2020-09-06 to 2021-02-01; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    510.2 s · community measurement, sample 102 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 102 submissions (9 outliers excluded), interquartile range 501.09–522.62; submissions 2020-09-02 to 2021-01-30; 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.

  • Blender Benchmark 3.4.0

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

    B ahead by 313.8%

    Position among tested models (43, OptiX)

    A · 560B · 2,316
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 2060 SUPER is ahead by 313.8% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 2060 SUPER

    2,315.7 samples/min · community measurement, sample 70 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 70 submissions (5 outliers excluded), interquartile range 2231.05–2366.8; submissions 2022-12-09 to 2023-06-07; 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 (4)
BenchmarkABDifference
Blender Benchmark 2.82GPU, bmw27 (CUDA)92.263.6B +44.9%
Blender Benchmark 2.83GPU, bmw27 (CUDA)94.265.7B +43.4%
Blender Benchmark 2.83GPU, classroom (CUDA)303.8299.2B +1.5%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)545.12,307.1B +323.2%

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

Reference results (126)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,009.51,070.2reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)94.263.1reference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)92.961.9reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)104.571.5reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)109.366reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)115.869.1reference
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)74.957reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)104.630.6reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)94.731.4reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)100.931.9reference
Blender Benchmark 2.81GPU, classroom (CUDA)303.8298.5reference
Blender Benchmark 2.81aGPU, classroom (CUDA)299.4299.4reference
Blender Benchmark 2.82GPU, classroom (CUDA)295.8292.8reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)339.9350.2reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)291.6305.3reference
Blender Benchmark 2.92GPU, classroom (CUDA)296.6320.8reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)257.6276.9reference
Blender Benchmark 2.90GPU, classroom (OPTIX)347.5161.8reference
Blender Benchmark 2.92GPU, classroom (OPTIX)400.9171.4reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)469170.5reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)199.7115.3reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)204.2115.4reference
Blender Benchmark 2.82GPU, fishy_cat (CUDA)202.4119.7reference
Blender Benchmark 2.83GPU, fishy_cat (CUDA)201.2126reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)233.4113reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)280.9120.2reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)243.7109.5reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)214.655.7reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)222.763.3reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)273.260.8reference
Blender Benchmark 2.81aGPU, koro (CUDA)452.9209.1reference
Blender Benchmark 2.82GPU, koro (CUDA)441.8210.8reference
Blender Benchmark 2.83GPU, koro (CUDA)448.1220.1reference
Blender Benchmark 2.91.2GPU, koro (CUDA)433.8179.3reference
Blender Benchmark 2.92GPU, koro (CUDA)704.4188.6reference
Blender Benchmark 2.93.1GPU, koro (CUDA)432.4180.7reference
Blender Benchmark 2.90GPU, koro (OPTIX)218.8118reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)501.7446.9reference
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)482.7450.2reference
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)498.5449.2reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)553.6417reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)622.5430.7reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)424.8394reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)504.7189.4reference
Blender Benchmark 2.81aGPU, victor (CUDA)1,256.3528.8reference
Blender Benchmark 2.82GPU, victor (CUDA)1,235.3522.2reference
Blender Benchmark 2.83GPU, victor (CUDA)1,105.1538.5reference
Blender Benchmark 2.91.2GPU, victor (CUDA)997.4481.9reference
Blender Benchmark 2.92GPU, victor (CUDA)1,290.8566.8reference
Blender Benchmark 2.93.1GPU, victor (CUDA)1,351.2503.2reference
Blender Benchmark 2.90GPU, victor (OPTIX)898.6230.1reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)597.21,408reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)706.5—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5332,099.4reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)504.62,067.3reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)404.91,993.1reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4431,928.2reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)592.42,487.8reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)553.22,259.4reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)542.32,180.5reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)526.72,288.4reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5492,378.7reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)576.12,450.3reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)533.52,138.1reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)501.62,158.4reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)504.82,049reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)483.22,113.6reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)449.51,883.9reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)189.4—no pair
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)—1,076.9no pair
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)—1,716.3no pair
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)—1,792.2no pair
Blender Benchmark 2.81GPU, bmw27 (OPTIX)—26.5no pair
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)—30.2no pair
Blender Benchmark 2.82GPU, bmw27 (OPTIX)—30.6no pair
Blender Benchmark 2.83GPU, bmw27 (OPTIX)—29.6no pair
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)—31.6no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)—30.7no pair
Blender Benchmark 2.81GPU, classroom (OPTIX)—167.9no pair
Blender Benchmark 2.81aGPU, classroom (OPTIX)—161.7no pair
Blender Benchmark 2.82GPU, classroom (OPTIX)—159.9no pair
Blender Benchmark 2.83GPU, classroom (OPTIX)—158.6no pair
Blender Benchmark 2.90.1GPU, classroom (OPTIX)—169.6no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)—166.7no pair
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)—143.6no pair
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)—57.1no pair
Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)—56no pair
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)—58.1no pair
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)—56.5no pair
Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX)—57.3no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)—55.8no pair
Blender Benchmark 2.81GPU, koro (CUDA)—207.7no pair
Blender Benchmark 2.90.1GPU, koro (CUDA)—222.1no pair
Blender Benchmark 2.81GPU, koro (OPTIX)—103.4no pair
Blender Benchmark 2.81aGPU, koro (OPTIX)—110.8no pair
Blender Benchmark 2.82GPU, koro (OPTIX)—106no pair
Blender Benchmark 2.83GPU, koro (OPTIX)—101.9no pair
Blender Benchmark 2.90.1GPU, koro (OPTIX)—123.1no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)—119.8no pair
Blender Benchmark 2.92GPU, koro (OPTIX)—206.2no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)—124.3no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)—439.5no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)—543.8no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)—192.4no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)—189.9no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)—190.3no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)—183.7no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX)—193.6no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)—193.2no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)—195.3no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)—196.7no pair
Blender Benchmark 2.81GPU, victor (CUDA)—520.3no pair
Blender Benchmark 2.90.1GPU, victor (CUDA)—604.2no pair
Blender Benchmark 2.81GPU, victor (OPTIX)—260.1no pair
Blender Benchmark 2.81aGPU, victor (OPTIX)—260.2no pair
Blender Benchmark 2.82GPU, victor (OPTIX)—250.5no pair
Blender Benchmark 2.83GPU, victor (OPTIX)—245.2no pair
Blender Benchmark 2.90.1GPU, victor (OPTIX)—244no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)—232.2no pair
Blender Benchmark 2.92GPU, victor (OPTIX)—276.1no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)—264.5no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,445.8no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,328.5no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,442.8no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,380.9no pair
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—1,879.9no pair

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

Specifications

Chip

  • GPU chip

    AGM200-310-A1

    BTU106-410-A1

    differs
  • Architecture

    AMaxwell

    BTuring

    differs
  • Shader units

    A2,816 (CUDA cores)

    B2,176 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,000 MHz

    B1,470 MHz

    B: 470 MHz more
  • Boost clock

    A1,076 MHz

    B1,650 MHz

    B: 574 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

    B8 GB

    B: 2 GB more
  • Memory type

    AGDDR5

    BGDDR6

    differs
  • Memory bus

    A384 bit

    B256 bit

    A: 128 bit more
  • Memory bandwidth

    A336.6 GB/s

    B448 GB/s

    B: 111.4 GB/s more

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

Power and dimensions

  • Board power

    A250 W (TDP)

    B175 W (TDP)

    A: 75 W higher

    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.

“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 980 Ti and NVIDIA GeForce RTX 2060 SUPER have?

NVIDIA GeForce GTX 980 Ti: 6 GB GDDR5, 384-bit bus. NVIDIA GeForce RTX 2060 SUPER: 8 GB GDDR6, 256-bit bus.

Which is faster: NVIDIA GeForce GTX 980 Ti or NVIDIA GeForce RTX 2060 SUPER?

NVIDIA GeForce RTX 2060 SUPER leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (2)
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 980 Ti, specifications of NVIDIA GeForce RTX 2060 SUPER, 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 2.82, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.90.1, 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 3.6.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026

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

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