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GeForce GTX 1080 Ti vs GeForce RTX 2080: 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 2080

  • 8 GB GDDR6
  • 215 W

September 20, 2018 · $699 at launch

Short verdict

NVIDIA GeForce RTX 2080 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 1080 TiGeForce RTX 2080 →
  • Rendering and compute

    B +191.7%

    NVIDIA GeForce RTX 2080 leads in this scenario (up to 191.7% 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 Ti is better3

  • 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 2080 is better10

  • Blender Benchmark 2.93.1 22.1% lower46 s vs 56 s

  • Blender Benchmark 2.93.1 110% lower30 s vs 63 s

  • Blender Benchmark 2.93.1 11.6% lower154 s vs 172 s

  • Blender Benchmark 2.90 123.8% lower95 s vs 213 s

  • Blender Benchmark 2.93.1 37% lower91 s vs 124 s

  • Blender Benchmark 2.93.1 49.3% lower148 s vs 220 s

  • Blender Benchmark 2.93.1 20.5% lower258 s vs 311 s

  • Blender Benchmark 2.93.1 36.5% lower382 s vs 521 s

  • Blender Benchmark 4.5.0 177.8% faster2,282 samples/min vs 821 samples/min

  • Board power 35 W lower215 W (TDP) vs 250 W (TDP)

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

    B ahead by 22.1%

    Position among tested models (31, CUDA)

    B · 46A · 56
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 is ahead by 22.1% in this benchmark.

    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 2080

    46 s · community measurement, sample 40 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 40 submissions (6 outliers excluded), interquartile range 45.6–46.47; submissions 2021-07-12 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 2.93.1

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

    B ahead by 110%

    Position among tested models (20, OptiX)

    B · 30A · 63
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 is ahead by 110% 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 2080

    29.9 s · community measurement, sample 20 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (4 outliers excluded), interquartile range 29.03–30.16; submissions 2021-07-22 to 2022-02-15; 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 11.6%

    Position among tested models (26, CUDA)

    B · 154A · 172
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 is ahead by 11.6% 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 2080

    154.1 s · community measurement, sample 29 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 29 submissions (6 outliers excluded), interquartile range 152.69–157.19; submissions 2021-07-12 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 123.8%

    Position among tested models (15, OptiX)

    B · 95A · 213
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 is ahead by 123.8% 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 2080

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

    Blender Open Data (Blender Foundation)

    Median of 31 submissions (6 outliers excluded), interquartile range 92.63–96.53; submissions 2020-09-03 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, fishy_cat (CUDA) · s, lower is better

    B ahead by 37%

    Position among tested models (21, CUDA)

    B · 91A · 124
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 is ahead by 37% 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 2080

    90.7 s · community measurement, sample 22 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 22 submissions (7 outliers excluded), interquartile range 89.25–91.98; submissions 2021-07-12 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 2.93.1

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

    B ahead by 49.3%

    Position among tested models (20, CUDA)

    B · 148A · 220
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 is ahead by 49.3% 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 2080

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

    Blender Open Data (Blender Foundation)

    Median of 21 submissions (5 outliers excluded), interquartile range 144.74–149.57; submissions 2021-07-12 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 2.93.1

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

    B ahead by 20.5%

    Position among tested models (21, CUDA)

    B · 258A · 311
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 is ahead by 20.5% 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 2080

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

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (3 outliers excluded), interquartile range 253.99–269.8; submissions 2021-07-12 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 2.93.1

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

    B ahead by 36.5%

    Position among tested models (19, CUDA)

    B · 382A · 521
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 is ahead by 36.5% in this benchmark.

    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 2080

    382 s · community measurement, sample 20 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (5 outliers excluded), interquartile range 376.39–389.81; submissions 2021-07-12 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 4.5.0

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

    B ahead by 177.8%

    Position among tested models (67, OptiX)

    A · 821B · 2,282
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 2080 is ahead by 177.8% 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 2080

    2,281.6 samples/min · community measurement, sample 36 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 36 submissions (5 outliers excluded), interquartile range 2232.27–2305.83; submissions 2025-08-02 to 2026-03-01; 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 (35)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)63.249.7B +27.3%
Blender Benchmark 2.82GPU, bmw27 (CUDA)62.251.5B +20.8%
Blender Benchmark 2.83GPU, bmw27 (CUDA)64.151.1B +25.5%
Blender Benchmark 2.90GPU, bmw27 (CUDA)69.956B +24.8%
Blender Benchmark 2.90GPU, bmw27 (OPTIX)61.225.7B +138.4%
Blender Benchmark 2.81aGPU, classroom (CUDA)192.2164.6B +16.8%
Blender Benchmark 2.82GPU, classroom (CUDA)192.3163.6B +17.6%
Blender Benchmark 2.83GPU, classroom (CUDA)194.8163.6B +19.1%
Blender Benchmark 2.90GPU, classroom (CUDA)197.9167.1B +18.4%
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)121.388.3B +37.5%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)123.491.5B +34.8%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)124.193B +33.4%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)127.499.6B +27.9%
Blender Benchmark 2.81aGPU, koro (CUDA)248.4153.1B +62.2%
Blender Benchmark 2.82GPU, koro (CUDA)245.2152.1B +61.2%
Blender Benchmark 2.83GPU, koro (CUDA)236159B +48.5%
Blender Benchmark 2.90GPU, koro (CUDA)216.7165.2B +31.1%
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)330.5287B +15.1%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)329.7291.2B +13.2%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)337.5288.2B +17.1%
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)359305B +17.7%
Blender Benchmark 2.81aGPU, victor (CUDA)491.8379.7B +29.5%
Blender Benchmark 2.82GPU, victor (CUDA)487.7373.7B +30.5%
Blender Benchmark 2.83GPU, victor (CUDA)478.1374.9B +27.5%
Blender Benchmark 2.90GPU, victor (CUDA)472.4374.1B +26.3%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)821.52,237.5B +172.4%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8682,369.8B +173%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)883.92,340.5B +164.8%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)878.42,445B +178.4%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)879.82,422.1B +175.3%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)889.72,594.9B +191.7%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)889.82,549.7B +186.6%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)830.72,266.7B +172.8%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)842.22,237B +165.6%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8292,213B +166.9%

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

Reference results (87)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)529.5543.8reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)532.3529.4reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)62.550.3reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)65.451.5reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)64.353.3reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)61.825.6reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)61.326.7reference
Blender Benchmark 2.81GPU, classroom (CUDA)189.1167.7reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)193.9171.2reference
Blender Benchmark 2.92GPU, classroom (CUDA)185175.2reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)216.599.3reference
Blender Benchmark 2.92GPU, classroom (OPTIX)221.1100reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)221.498.5reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)119.688.5reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)122.486.8reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)119.197.3reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)115.442.3reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)115.542.3reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)119.448.1reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)117.447.1reference
Blender Benchmark 2.81GPU, koro (CUDA)245.9153.2reference
Blender Benchmark 2.91.2GPU, koro (CUDA)214.6152.1reference
Blender Benchmark 2.92GPU, koro (CUDA)213.3158.9reference
Blender Benchmark 2.90GPU, koro (OPTIX)132.187.6reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)133.789.1reference
Blender Benchmark 2.92GPU, koro (OPTIX)172.2156reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)135.192.4reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)331290.3reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)341.4278.3reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)334.7285.9reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)330.9124.8reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)326.6125.1reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)333.8128.9reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)334.1133reference
Blender Benchmark 2.81GPU, victor (CUDA)493.3380.7reference
Blender Benchmark 2.91.2GPU, victor (CUDA)460.2354.5reference
Blender Benchmark 2.92GPU, victor (CUDA)521.5434.6reference
Blender Benchmark 2.90GPU, victor (OPTIX)447.9142.2reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)436.1141.9reference
Blender Benchmark 2.92GPU, victor (OPTIX)480.3175.9reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)462.5164.9reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)936.11,664.6reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)873.81,360.2reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)895.1—no pair
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)931.9—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)928.21,729.4reference
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)685.31,987.6reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)699.62,152.2reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)935.92,511.6reference
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)888.72,456.1reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)820.82,160.8reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)726.91,796.1reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)695.22,167.7reference
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)—931no pair
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)—918.1no pair
Blender Benchmark 2.81GPU, bmw27 (OPTIX)—27.6no pair
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)—27.1no pair
Blender Benchmark 2.82GPU, bmw27 (OPTIX)—27.3no pair
Blender Benchmark 2.83GPU, bmw27 (OPTIX)—26.1no pair
Blender Benchmark 2.81GPU, classroom (OPTIX)—96.5no pair
Blender Benchmark 2.81aGPU, classroom (OPTIX)—94.5no pair
Blender Benchmark 2.82GPU, classroom (OPTIX)—95.3no pair
Blender Benchmark 2.83GPU, classroom (OPTIX)—94.5no pair
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)—40.8no pair
Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)—40.1no pair
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)—42.2no pair
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)—41.1no pair
Blender Benchmark 2.81GPU, koro (OPTIX)—73.2no pair
Blender Benchmark 2.81aGPU, koro (OPTIX)—73.6no pair
Blender Benchmark 2.82GPU, koro (OPTIX)—72.8no pair
Blender Benchmark 2.83GPU, koro (OPTIX)—72.2no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)—129.3no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)—129.6no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)—129.4no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)—125.2no pair
Blender Benchmark 2.81GPU, victor (OPTIX)—186.1no pair
Blender Benchmark 2.81aGPU, victor (OPTIX)—211.4no pair
Blender Benchmark 2.82GPU, victor (OPTIX)—151no pair
Blender Benchmark 2.83GPU, victor (OPTIX)—150.3no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,678.2no pair

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

Specifications

Chip

  • GPU chip

    AGP102-350-K1-A1

    BTU104-400A-A1

    differs
  • Architecture

    APascal

    BTuring

    differs
  • Shader units

    A3,584 (CUDA cores)

    B2,944 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,481 MHz

    B1,515 MHz

    B: 34 MHz more
  • Boost clock

    A1,582 MHz

    B1,710 MHz

    B: 128 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)

    B215 W (TDP)

    A: 35 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 2080 have?

NVIDIA GeForce GTX 1080 Ti: 11 GB GDDR5X, 352-bit bus. NVIDIA GeForce RTX 2080: 8 GB GDDR6, 256-bit bus.

Which is faster: NVIDIA GeForce GTX 1080 Ti or NVIDIA GeForce RTX 2080?

NVIDIA GeForce RTX 2080 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 Ti, specifications of NVIDIA GeForce RTX 2080, 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 3.5.0, 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 3.4.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 4.0.0, 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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