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GeForce GTX 1080 vs GeForce GTX 1080 Ti: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1080

  • 8 GB GDDR5X
  • 180 W

May 27, 2016

BNVIDIA · Pascal

NVIDIA GeForce GTX 1080 Ti

  • 11 GB GDDR5X
  • 250 W

March 5, 2017 · $699 at launch

Short verdict

NVIDIA GeForce GTX 1080 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 1080GeForce GTX 1080 Ti →
  • Rendering and compute

    B +54.5%

    NVIDIA GeForce GTX 1080 Ti leads in this scenario (up to 54.5% 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 1080 is better1

  • Board power 70 W lower180 W (TDP) vs 250 W (TDP)

Where GeForce GTX 1080 Ti is better13

  • Blender Benchmark 2.81a 48% lower532 s vs 788 s

  • Blender Benchmark 2.93.1 43.2% lower56 s vs 81 s

  • Blender Benchmark 2.90 42.7% lower61 s vs 87 s

  • Blender Benchmark 2.93.1 47.4% lower172 s vs 253 s

  • Blender Benchmark 2.90 43.1% lower213 s vs 304 s

  • Blender Benchmark 2.93.1 50.3% lower124 s vs 187 s

  • Blender Benchmark 2.93.1 43.7% lower220 s vs 317 s

  • Blender Benchmark 2.93.1 48.4% lower311 s vs 461 s

  • Blender Benchmark 2.93.1 53% lower521 s vs 798 s

  • Blender Benchmark 4.5.0 40.4% faster821 samples/min vs 585 samples/min

  • Shader units 1,024 more3,584 (CUDA cores) vs 2,560 (CUDA cores)

  • Video memory 3 GB more11 GB vs 8 GB

  • Memory bus 96 bit more352 bit vs 256 bit

Benchmarks

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

  • Blender Benchmark 2.81a

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

    B ahead by 48%

    Position among tested models (5, CUDA)

    B · 532A · 788
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 48% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

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

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (0 outliers excluded), interquartile range 763.6–810.47; submissions 2020-01-09 to 2020-01-25; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 41 submissions (2 outliers excluded), interquartile range 519.44–545.73; submissions 2020-01-09 to 2020-01-28; 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 (CUDA) · s, lower is better

    B ahead by 43.2%

    Position among tested models (31, CUDA)

    B · 56A · 81
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 43.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

    80.5 s · community measurement, sample 62 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 62 submissions (13 outliers excluded), interquartile range 79.51–81.58; submissions 2021-07-15 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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, bmw27 (OPTIX) · s, lower is better

    B ahead by 42.7%

    Position among tested models (17, OptiX)

    B · 61A · 87
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 42.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

    87.3 s · community measurement, sample 59 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 59 submissions (3 outliers excluded), interquartile range 85.25–89.44; submissions 2020-09-03 to 2021-02-02; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080 Ti

    61.2 s · community measurement, sample 47 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 47 submissions (1 outliers excluded), interquartile range 58.87–65.51; submissions 2020-09-04 to 2021-01-31; 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

    B ahead by 47.4%

    Position among tested models (26, CUDA)

    B · 172A · 253
    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 47.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

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

    Blender Open Data (Blender Foundation)

    Median of 46 submissions (2 outliers excluded), interquartile range 247.41–262.04; submissions 2021-07-15 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 43.1%

    Position among tested models (15, OptiX)

    B · 213A · 304
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 43.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

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

    Blender Open Data (Blender Foundation)

    Median of 37 submissions (0 outliers excluded), interquartile range 288.99–319.36; submissions 2020-09-03 to 2021-03-30; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 50.3%

    Position among tested models (21, CUDA)

    B · 124A · 187
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 50.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

    186.8 s · community measurement, sample 39 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 39 submissions (1 outliers excluded), interquartile range 181.33–191.2; submissions 2021-07-15 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 43.7%

    Position among tested models (20, CUDA)

    B · 220A · 317
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 43.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

    316.7 s · community measurement, sample 34 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 34 submissions (3 outliers excluded), interquartile range 310.65–323.27; submissions 2021-07-15 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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

    B ahead by 48.4%

    Position among tested models (21, CUDA)

    B · 311A · 461
    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 48.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

    460.9 s · community measurement, sample 39 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 39 submissions (1 outliers excluded), interquartile range 450.31–469.8; submissions 2021-07-15 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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

    B ahead by 53%

    Position among tested models (19, CUDA)

    B · 521A · 798
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 53% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

    797.7 s · community measurement, sample 28 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 28 submissions (7 outliers excluded), interquartile range 789.1–813.67; submissions 2021-07-20 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 40.4%

    Position among tested models (67, OptiX)

    A · 585B · 821
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce GTX 1080 Ti is ahead by 40.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

    584.9 samples/min · community measurement, sample 81 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 81 submissions (0 outliers excluded), interquartile range 570.45–627.62; submissions 2025-07-29 to 2026-08-29; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 (43)
BenchmarkABDifference
Blender Benchmark 2.81GPU, bmw27 (CUDA)88.562.5B +41.5%
Blender Benchmark 2.81aGPU, bmw27 (CUDA)89.463.2B +41.4%
Blender Benchmark 2.82GPU, bmw27 (CUDA)88.562.2B +42.2%
Blender Benchmark 2.83GPU, bmw27 (CUDA)90.764.1B +41.5%
Blender Benchmark 2.90GPU, bmw27 (CUDA)9969.9B +41.7%
Blender Benchmark 2.92GPU, bmw27 (CUDA)90.964.3B +41.5%
Blender Benchmark 2.81GPU, classroom (CUDA)279.9189.1B +48%
Blender Benchmark 2.81aGPU, classroom (CUDA)282.8192.2B +47.1%
Blender Benchmark 2.82GPU, classroom (CUDA)280.3192.3B +45.8%
Blender Benchmark 2.83GPU, classroom (CUDA)285.9194.8B +46.8%
Blender Benchmark 2.90GPU, classroom (CUDA)290.2197.9B +46.6%
Blender Benchmark 2.92GPU, classroom (CUDA)272.3185B +47.2%
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)178121.3B +46.7%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)182.1123.4B +47.6%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)183.7124.1B +48%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)189127.4B +48.4%
Blender Benchmark 2.92GPU, fishy_cat (CUDA)177.2119.1B +48.8%
Blender Benchmark 2.81aGPU, koro (CUDA)343.8248.4B +38.4%
Blender Benchmark 2.82GPU, koro (CUDA)341.2245.2B +39.2%
Blender Benchmark 2.83GPU, koro (CUDA)328.4236B +39.2%
Blender Benchmark 2.90GPU, koro (CUDA)308.6216.7B +42.4%
Blender Benchmark 2.92GPU, koro (CUDA)301.8213.3B +41.5%
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)478.6330.5B +44.8%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)483.3329.7B +46.6%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)491.9337.5B +45.7%
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)525.5359B +46.4%
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)491.1334.7B +46.7%
Blender Benchmark 2.81aGPU, victor (CUDA)749491.8B +52.3%
Blender Benchmark 2.82GPU, victor (CUDA)753.3487.7B +54.5%
Blender Benchmark 2.83GPU, victor (CUDA)707.2478.1B +47.9%
Blender Benchmark 2.90GPU, victor (CUDA)703.6472.4B +48.9%
Blender Benchmark 2.92GPU, victor (CUDA)759.6521.5B +45.6%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)577.6821.5B +42.2%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)614.9868B +41.2%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)609.8883.9B +44.9%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)613.3878.4B +43.2%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)619.2879.8B +42.1%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)624.9889.7B +42.4%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)621.3889.8B +43.2%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)577.8830.7B +43.8%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)581.4842.2B +44.9%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)567.9829B +46%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)574.2820.8B +43%

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

Reference results (55)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)784.6529.5reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)92.565.4reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)87.361.8reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)8661.3reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)88.362.7reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)280.1193.9reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)324.8216.5reference
Blender Benchmark 2.92GPU, classroom (OPTIX)310.9221.1reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)322.8221.4reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)176.2119.6reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)179.7122.4reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)164.7115.4reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)161.2115.5reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)169.1119.4reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)171.2117.4reference
Blender Benchmark 2.81GPU, koro (CUDA)343.4245.9reference
Blender Benchmark 2.91.2GPU, koro (CUDA)302.5214.6reference
Blender Benchmark 2.90GPU, koro (OPTIX)189.6132.1reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)188.1133.7reference
Blender Benchmark 2.92GPU, koro (OPTIX)247.7172.2reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)194.4135.1reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)485.5331reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)490.5341.4reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)470.5330.9reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)465326.6reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)472.8333.8reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)484.4334.1reference
Blender Benchmark 2.81GPU, victor (CUDA)793.3493.3reference
Blender Benchmark 2.91.2GPU, victor (CUDA)688.2460.2reference
Blender Benchmark 2.90GPU, victor (OPTIX)620.2447.9reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)617436.1reference
Blender Benchmark 2.92GPU, victor (OPTIX)697.3480.3reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)688.4462.5reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)668936.1reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)609.6873.8reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)608.9895.1reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)613.6976.1reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)635.2931.9reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)638—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)640.9928.2reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)650.2960.5reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)602.9—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)588.3886.4reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)603.5905.1reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)582.8—no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)564.1925.1reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)632.4969.1reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)512.9—no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)486.9685.3reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)506.9699.6reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)643935.9reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)611780.2reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)601.6888.7reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)482.1726.9reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)474695.2reference

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

Specifications

Chip

  • GPU chip

    Ano data

    BGP102-350-K1-A1

    no data for A
  • Architecture

    APascal

    BPascal

    equal
  • Shader units

    A2,560 (CUDA cores)

    B3,584 (CUDA cores)

    B: 1,024 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,607 MHz

    B1,481 MHz

    A: 126 MHz more
  • Boost clock

    A1,733 MHz

    B1,582 MHz

    A: 151 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

    A8 GB

    B11 GB

    B: 3 GB more
  • Memory type

    AGDDR5X

    BGDDR5X

    equal
  • Memory bus

    A256 bit

    B352 bit

    B: 96 bit more
  • Memory bandwidth

    Ano data

    B484.4 GB/s

    no data for A

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

Power and dimensions

  • Board power

    A180 W (TDP)

    B250 W (TDP)

    B: 70 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

    BPCIe 3.0 x16

    equal

“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 and NVIDIA GeForce GTX 1080 Ti have?

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

Which PCIe interface do the cards use?

NVIDIA GeForce GTX 1080: PCIe 3.0 x16. NVIDIA GeForce GTX 1080 Ti: PCIe 3.0 x16.

Which is faster: NVIDIA GeForce GTX 1080 or NVIDIA GeForce GTX 1080 Ti?

NVIDIA GeForce GTX 1080 Ti 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 1080, specifications of NVIDIA GeForce GTX 1080 Ti, 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 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 3.4.0, 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 5.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.1.2, 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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