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GeForce GTX 1080 Ti vs GeForce RTX 2060 SUPER: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1080 Ti

  • 11 GB GDDR5X
  • 250 W

March 5, 2017 · $699 at launch

BNVIDIA · Turing

NVIDIA GeForce RTX 2060 SUPER

  • 8 GB GDDR6
  • 175 W

July 9, 2019 · $399 at launch

Short verdict

It depends on the task: rendering and compute: results disagree.

Compare with AI
← GeForce GTX 1080 TiGeForce RTX 2060 SUPER →
  • Rendering and compute

    depends on the task

    Benchmark results disagree, so the choice depends on the specific task.

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 1080 Ti is better5

  • Blender Benchmark 2.93.1 61% lower172 s vs 277 s

  • Blender Benchmark 2.93.1 26.9% lower311 s vs 394 s

  • Video memory 3 GB more11 GB vs 8 GB

  • Memory bus 96 bit more352 bit vs 256 bit

  • Memory bandwidth 36.4 GB/s more484.4 GB/s vs 448 GB/s

Where GeForce RTX 2060 SUPER is better7

  • Blender Benchmark 2.93.1 96.5% lower32 s vs 63 s

  • Blender Benchmark 2.90 31.4% lower162 s vs 213 s

  • Blender Benchmark 2.93.1 13.5% lower110 s vs 124 s

  • Blender Benchmark 2.93.1 22% lower181 s vs 220 s

  • Blender Benchmark 4.5.0 151.7% faster2,067 samples/min vs 821 samples/min

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

  • Launch price $300 lower$399 vs $699

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

    1.5% difference, within the threshold

    Position among tested models (31, CUDA)

    A · 56B · 57
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 1.5% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1080 Ti

    56.2 s · community measurement, sample 76 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 76 submissions (6 outliers excluded), interquartile range 55.4–57.39; submissions 2021-07-11 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    57 s · community measurement, sample 32 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 32 submissions (4 outliers excluded), interquartile range 56.4–57.77; submissions 2021-07-10 to 2022-02-26; 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 2.93.1

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

    B ahead by 96.5%

    Position among tested models (20, OptiX)

    B · 32A · 63
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 SUPER is ahead by 96.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080 Ti

    62.7 s · community measurement, sample 23 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 23 submissions (1 outliers excluded), interquartile range 60.35–64.88; submissions 2021-07-14 to 2022-02-09; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    31.9 s · community measurement, sample 21 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 21 submissions (0 outliers excluded), interquartile range 31.4–33.3; submissions 2021-07-27 to 2022-02-23; OPTIX 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 2.93.1

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

    A ahead by 61%

    Position among tested models (26, CUDA)

    A · 172B · 277
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 61% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080 Ti

    172 s · community measurement, sample 58 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 58 submissions (7 outliers excluded), interquartile range 169.09–175.74; submissions 2021-07-19 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    276.9 s · community measurement, sample 31 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 31 submissions (4 outliers excluded), interquartile range 272.42–281.42; submissions 2021-07-10 to 2022-02-26; 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 (OPTIX) · s, lower is better

    B ahead by 31.4%

    Position among tested models (15, OptiX)

    B · 162A · 213
    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 31.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080 Ti

    212.6 s · community measurement, sample 23 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 23 submissions (1 outliers excluded), interquartile range 203.94–221.54; submissions 2020-09-06 to 2022-01-26; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    161.8 s · community measurement, sample 37 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 37 submissions (9 outliers excluded), interquartile range 160.24–163.89; submissions 2020-09-02 to 2021-01-25; OPTIX 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 2.93.1

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

    B ahead by 13.5%

    Position among tested models (21, CUDA)

    B · 110A · 124
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 SUPER is ahead by 13.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080 Ti

    124.3 s · community measurement, sample 46 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 46 submissions (8 outliers excluded), interquartile range 122.73–126.56; submissions 2021-07-21 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    109.5 s · community measurement, sample 26 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 26 submissions (4 outliers excluded), interquartile range 107.85–111.2; submissions 2021-07-10 to 2022-02-26; 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 2.93.1

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

    B ahead by 22%

    Position among tested models (20, CUDA)

    B · 181A · 220
    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 22% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080 Ti

    220.4 s · community measurement, sample 41 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 41 submissions (8 outliers excluded), interquartile range 218.9–224.53; submissions 2021-07-21 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (2 outliers excluded), interquartile range 178.65–186.28; submissions 2021-07-10 to 2022-02-26; 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 2.93.1

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

    A ahead by 26.9%

    Position among tested models (21, CUDA)

    A · 311B · 394
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 26.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080 Ti

    310.6 s · community measurement, sample 42 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 42 submissions (10 outliers excluded), interquartile range 308.52–315.53; submissions 2021-07-21 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    394 s · community measurement, sample 24 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (4 outliers excluded), interquartile range 388.05–403.3; submissions 2021-07-10 to 2022-02-26; 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 2.93.1

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

    3.6% difference, within the threshold

    Position among tested models (19, CUDA)

    B · 503A · 521
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 3.6% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1080 Ti

    521.3 s · community measurement, sample 41 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 41 submissions (8 outliers excluded), interquartile range 514.79–527.59; submissions 2021-07-21 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    503.2 s · community measurement, sample 25 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 25 submissions (2 outliers excluded), interquartile range 497.18–522.26; submissions 2021-07-10 to 2022-02-26; 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 4.5.0

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

    B ahead by 151.7%

    Position among tested models (67, OptiX)

    A · 821B · 2,067
    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 151.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080 Ti

    821.4 samples/min · community measurement, sample 57 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 57 submissions (6 outliers excluded), interquartile range 808.6–840.55; submissions 2025-07-18 to 2026-03-07; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060 SUPER

    2,067.3 samples/min · community measurement, sample 102 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 102 submissions (7 outliers excluded), interquartile range 2005.87–2124.27; submissions 2025-07-17 to 2026-03-07; 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 (30)
BenchmarkABDifference
Blender Benchmark 2.82GPU, bmw27 (CUDA)62.263.6A +2.2%
Blender Benchmark 2.83GPU, bmw27 (CUDA)64.165.7A +2.5%
Blender Benchmark 2.90GPU, bmw27 (CUDA)69.966.3B +5.4%
Blender Benchmark 2.90GPU, bmw27 (OPTIX)61.230.6B +99.7%
Blender Benchmark 2.82GPU, classroom (CUDA)192.3292.8A +52.2%
Blender Benchmark 2.83GPU, classroom (CUDA)194.8299.2A +53.6%
Blender Benchmark 2.90GPU, classroom (CUDA)197.9300.7A +51.9%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)123.4119.7B +3.1%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)124.1126A +1.5%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)127.4123.7B +3%
Blender Benchmark 2.82GPU, koro (CUDA)245.2210.8B +16.3%
Blender Benchmark 2.83GPU, koro (CUDA)236220.1B +7.2%
Blender Benchmark 2.90GPU, koro (CUDA)216.7191.3B +13.2%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)329.7450.2A +36.6%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)337.5449.2A +33.1%
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)359461.2A +28.5%
Blender Benchmark 2.82GPU, victor (CUDA)487.7522.2A +7.1%
Blender Benchmark 2.83GPU, victor (CUDA)478.1538.5A +12.6%
Blender Benchmark 2.90GPU, victor (CUDA)472.4510.2A +8%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)821.52,099.4B +155.6%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8682,307.1B +165.8%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)883.92,180.5B +146.7%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)878.42,288.4B +160.5%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)879.82,315.7B +163.2%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)889.72,378.7B +167.4%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)889.82,450.3B +175.4%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)830.72,138.1B +157.4%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)842.22,158.4B +156.3%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8292,049B +147.2%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)820.82,113.6B +157.5%

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

Reference results (104)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)529.51,076.9reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)532.31,070.2reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)62.563.1reference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)63.261.9reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)65.466reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)64.369.1reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)61.830.7reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)61.331.4reference
Blender Benchmark 2.81GPU, classroom (CUDA)189.1298.5reference
Blender Benchmark 2.81aGPU, classroom (CUDA)192.2299.4reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)193.9305.3reference
Blender Benchmark 2.92GPU, classroom (CUDA)185320.8reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)216.5166.7reference
Blender Benchmark 2.92GPU, classroom (OPTIX)221.1171.4reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)221.4170.5reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)119.6115.3reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)121.3115.4reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)122.4113reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)119.1120.2reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)115.455.7reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)115.555.8reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)119.463.3reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)117.460.8reference
Blender Benchmark 2.81GPU, koro (CUDA)245.9207.7reference
Blender Benchmark 2.81aGPU, koro (CUDA)248.4209.1reference
Blender Benchmark 2.91.2GPU, koro (CUDA)214.6179.3reference
Blender Benchmark 2.92GPU, koro (CUDA)213.3188.6reference
Blender Benchmark 2.90GPU, koro (OPTIX)132.1118reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)133.7119.8reference
Blender Benchmark 2.92GPU, koro (OPTIX)172.2206.2reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)135.1124.3reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)331439.5reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)330.5446.9reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)341.4417reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)334.7430.7reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)330.9189.4reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)326.6193.2reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)333.8195.3reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)334.1196.7reference
Blender Benchmark 2.81GPU, victor (CUDA)493.3520.3reference
Blender Benchmark 2.81aGPU, victor (CUDA)491.8528.8reference
Blender Benchmark 2.91.2GPU, victor (CUDA)460.2481.9reference
Blender Benchmark 2.92GPU, victor (CUDA)521.5566.8reference
Blender Benchmark 2.90GPU, victor (OPTIX)447.9230.1reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)436.1232.2reference
Blender Benchmark 2.92GPU, victor (OPTIX)480.3276.1reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)462.5264.5reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)936.1—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)873.81,408reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)895.11,445.8reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)976.1—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)931.91,328.5reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)928.21,442.8reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)960.5—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)886.4—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)905.1—no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)925.1—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)969.1—no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)685.31,993.1reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)699.61,928.2reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)935.92,487.8reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)780.2—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)888.72,259.4reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)726.91,879.9reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)695.21,883.9reference
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)—1,716.3no pair
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)—1,792.2no pair
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)—71.5no 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 2.90.1GPU, classroom (CUDA)—350.2no 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 2.90.1GPU, 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 2.90.1GPU, 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 2.90.1GPU, 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 2.90.1GPU, 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 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,380.9no pair

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

Specifications

Chip

  • GPU chip

    AGP102-350-K1-A1

    BTU106-410-A1

    differs
  • Architecture

    APascal

    BTuring

    differs
  • Shader units

    A3,584 (CUDA cores)

    B2,176 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,481 MHz

    B1,470 MHz

    A: 11 MHz more
  • Boost clock

    A1,582 MHz

    B1,650 MHz

    B: 68 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

    A11 GB

    B8 GB

    A: 3 GB more
  • Memory type

    AGDDR5X

    BGDDR6

    differs
  • Memory bus

    A352 bit

    B256 bit

    A: 96 bit more
  • Memory bandwidth

    A484.4 GB/s

    B448 GB/s

    A: 36.4 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.

  • Interface

    APCIe 3.0 x16

    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 1080 Ti and NVIDIA GeForce RTX 2060 SUPER have?

NVIDIA GeForce GTX 1080 Ti: 11 GB GDDR5X, 352-bit bus. NVIDIA GeForce RTX 2060 SUPER: 8 GB GDDR6, 256-bit bus.

Which is faster: NVIDIA GeForce GTX 1080 Ti or NVIDIA GeForce RTX 2060 SUPER?

It depends on the task: rendering and compute: results disagree.

Data sources (2)
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1080 Ti, specifications of NVIDIA GeForce RTX 2060 SUPER, release date and launch pricechecked November 14, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81, 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 2.90.1, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 4.3.0, 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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