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GeForce RTX 2070 SUPER vs GeForce RTX 2080 Ti: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce RTX 2070 SUPER

  • 8 GB GDDR6
  • 215 W

July 9, 2019 · $499 at launch

BNVIDIA · Turing

NVIDIA GeForce RTX 2080 Ti

  • 11 GB GDDR6
  • 250 W

September 20, 2018 · $999 at launch

Short verdict

NVIDIA GeForce RTX 2080 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 RTX 2070 SUPERGeForce RTX 2080 Ti →
  • Rendering and compute

    B +75.5%

    NVIDIA GeForce RTX 2080 Ti leads in this scenario (up to 75.5% 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 RTX 2070 SUPER is better2

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

  • Launch price $500 lower$499 vs $999

Where GeForce RTX 2080 Ti is better18

  • Blender Benchmark 2.81 10.1% lower521 s vs 574 s

  • Blender Benchmark 2.93.1 33.2% lower34 s vs 45 s

  • Blender Benchmark 2.93.1 31.9% lower22 s vs 29 s

  • Blender Benchmark 2.93.1 13.4% lower137 s vs 156 s

  • Blender Benchmark 2.93.1 21.2% lower86 s vs 105 s

  • Blender Benchmark 2.93.1 39.9% lower65 s vs 90 s

  • Blender Benchmark 2.93.1 51.9% lower33 s vs 51 s

  • Blender Benchmark 2.93.1 44.1% lower102 s vs 148 s

  • Blender Benchmark 2.93.1 64.1% lower63 s vs 104 s

  • Blender Benchmark 2.93.1 23.3% lower208 s vs 257 s

  • Blender Benchmark 2.93.1 29% lower105 s vs 135 s

  • Blender Benchmark 2.93.1 36.4% lower282 s vs 385 s

  • Blender Benchmark 2.93.1 33.3% lower138 s vs 184 s

  • Blender Benchmark 4.5.0 27.3% faster2,845 samples/min vs 2,235 samples/min

  • Shader units 1,792 more4,352 (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

  • Memory bandwidth 168 GB/s more616 GB/s vs 448 GB/s

Benchmarks

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

  • Blender Benchmark 2.81

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

    B ahead by 10.1%

    Position among tested models (4, CUDA)

    B · 521A · 574
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 10.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (0 outliers excluded), interquartile range 559.43–586.73; submissions 2020-01-09 to 2020-01-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 30 submissions (1 outliers excluded), interquartile range 507.17–543.11; submissions 2020-01-09 to 2020-01-24; 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, bmw27 (CUDA) · s, lower is better

    B ahead by 33.2%

    Position among tested models (31, CUDA)

    B · 34A · 45
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 33.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

    45.2 s · community measurement, sample 98 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 98 submissions (11 outliers excluded), interquartile range 44.61–45.89; submissions 2021-07-09 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

    33.9 s · community measurement, sample 53 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 53 submissions (8 outliers excluded), interquartile range 33.42–34.68; submissions 2021-07-15 to 2022-02-20; 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 31.9%

    Position among tested models (20, OptiX)

    B · 22A · 29
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 31.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 42 submissions (4 outliers excluded), interquartile range 28.79–29.82; submissions 2021-07-09 to 2022-02-11; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 39 submissions (1 outliers excluded), interquartile range 20.82–22.62; submissions 2021-07-18 to 2022-02-25; 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, classroom (CUDA) · s, lower is better

    B ahead by 13.4%

    Position among tested models (26, CUDA)

    B · 137A · 156
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 13.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

    155.8 s · community measurement, sample 80 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 80 submissions (6 outliers excluded), interquartile range 153.23–158.95; submissions 2021-07-12 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

    137.4 s · community measurement, sample 45 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 45 submissions (5 outliers excluded), interquartile range 133.31–141.35; submissions 2021-07-17 to 2022-02-20; 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, classroom (OPTIX) · s, lower is better

    B ahead by 21.2%

    Position among tested models (14, OptiX)

    B · 86A · 105
    050100150200
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 21.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 38 submissions (3 outliers excluded), interquartile range 102.59–107.68; submissions 2021-07-09 to 2022-02-10; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 31 submissions (3 outliers excluded), interquartile range 83.91–91.02; submissions 2021-07-18 to 2022-02-21; 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 39.9%

    Position among tested models (21, CUDA)

    B · 65A · 90
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 39.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

    90.4 s · community measurement, sample 68 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 68 submissions (9 outliers excluded), interquartile range 88.69–91.7; submissions 2021-07-12 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 37 submissions (7 outliers excluded), interquartile range 63.21–66.02; submissions 2021-07-17 to 2022-02-20; 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, fishy_cat (OPTIX) · s, lower is better

    B ahead by 51.9%

    Position among tested models (13, OptiX)

    B · 33A · 51
    020406080
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 51.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 29 submissions (4 outliers excluded), interquartile range 49.98–51.74; submissions 2021-07-16 to 2022-02-10; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 29 submissions (2 outliers excluded), interquartile range 32.62–35.12; submissions 2021-07-18 to 2022-02-21; 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, koro (CUDA) · s, lower is better

    B ahead by 44.1%

    Position among tested models (20, CUDA)

    B · 102A · 148
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 44.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

    147.7 s · community measurement, sample 69 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 69 submissions (9 outliers excluded), interquartile range 145.41–149.78; submissions 2021-07-12 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

    102.5 s · community measurement, sample 36 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 36 submissions (6 outliers excluded), interquartile range 100.68–104.8; submissions 2021-07-17 to 2022-02-20; 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 (OPTIX) · s, lower is better

    B ahead by 64.1%

    Position among tested models (13, OptiX)

    B · 63A · 104
    050100150200
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 64.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 29 submissions (4 outliers excluded), interquartile range 103.53–106.27; submissions 2021-07-16 to 2022-02-20; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (6 outliers excluded), interquartile range 62.26–67.16; submissions 2021-07-18 to 2022-02-21; 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, pavillon_barcelona (CUDA) · s, lower is better

    B ahead by 23.3%

    Position among tested models (21, CUDA)

    B · 208A · 257
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 23.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

    256.6 s · community measurement, sample 68 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 68 submissions (9 outliers excluded), interquartile range 254.13–262.18; submissions 2021-07-12 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 40 submissions (4 outliers excluded), interquartile range 200.44–213.46; submissions 2021-07-17 to 2022-02-20; 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 (OPTIX) · s, lower is better

    B ahead by 29%

    Position among tested models (13, OptiX)

    B · 105A · 135
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 29% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 29 submissions (6 outliers excluded), interquartile range 134.34–137.84; submissions 2021-07-16 to 2022-02-10; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 38 submissions (2 outliers excluded), interquartile range 102.5–110.4; submissions 2021-07-18 to 2022-02-21; 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, victor (CUDA) · s, lower is better

    B ahead by 36.4%

    Position among tested models (19, CUDA)

    B · 282A · 385
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 36.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

    384.8 s · community measurement, sample 71 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 71 submissions (9 outliers excluded), interquartile range 379–393.16; submissions 2021-07-12 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 34 submissions (7 outliers excluded), interquartile range 274.18–287.61; submissions 2021-07-17 to 2022-02-20; 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 (OPTIX) · s, lower is better

    B ahead by 33.3%

    Position among tested models (13, OptiX)

    B · 138A · 184
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 Ti is ahead by 33.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 30 submissions (3 outliers excluded), interquartile range 180.06–189.97; submissions 2021-07-16 to 2022-02-10; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 28 submissions (2 outliers excluded), interquartile range 132.73–144.53; submissions 2021-07-18 to 2022-02-21; 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 4.5.0

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

    B ahead by 27.3%

    Position among tested models (67, OptiX)

    A · 2,235B · 2,845
    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 Ti is ahead by 27.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070 SUPER

    2,234.5 samples/min · community measurement, sample 101 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 101 submissions (7 outliers excluded), interquartile range 2150.53–2296.29; submissions 2025-07-18 to 2026-11-02; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 Ti

    2,845.2 samples/min · community measurement, sample 131 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 131 submissions (5 outliers excluded), interquartile range 2732.17–2950.36; submissions 2025-07-18 to 2026-03-23; OPTIX backend. Snapshot 2026-11-14.

    difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.

    Cycles render in Blender Benchmark. Median of the sum of samples per minute over three scenes after removing outliers.

Other comparable benchmarks (79)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)559.4514B +8.8%
Blender Benchmark 2.81GPU, bmw27 (CUDA)49.337.5B +31.4%
Blender Benchmark 2.81aGPU, bmw27 (CUDA)49.137.4B +31.5%
Blender Benchmark 2.82GPU, bmw27 (CUDA)49.937.7B +32.4%
Blender Benchmark 2.83GPU, bmw27 (CUDA)50.538.2B +32%
Blender Benchmark 2.90GPU, bmw27 (CUDA)54.440.1B +35.6%
Blender Benchmark 2.92GPU, bmw27 (CUDA)52.239.1B +33.3%
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)27.120.4B +33%
Blender Benchmark 2.82GPU, bmw27 (OPTIX)26.720.3B +31.6%
Blender Benchmark 2.83GPU, bmw27 (OPTIX)25.819.3B +33.6%
Blender Benchmark 2.90GPU, bmw27 (OPTIX)25.819B +35.6%
Blender Benchmark 2.92GPU, bmw27 (OPTIX)26.519.8B +34.1%
Blender Benchmark 2.81GPU, classroom (CUDA)168.4153.5B +9.7%
Blender Benchmark 2.81aGPU, classroom (CUDA)169.4153.6B +10.3%
Blender Benchmark 2.82GPU, classroom (CUDA)165.2147.3B +12.2%
Blender Benchmark 2.83GPU, classroom (CUDA)168151.1B +11.2%
Blender Benchmark 2.90GPU, classroom (CUDA)171.7151.7B +13.2%
Blender Benchmark 2.92GPU, classroom (CUDA)177.3159.2B +11.4%
Blender Benchmark 2.81aGPU, classroom (OPTIX)101.282.6B +22.5%
Blender Benchmark 2.82GPU, classroom (OPTIX)100.481.4B +23.3%
Blender Benchmark 2.83GPU, classroom (OPTIX)10082.5B +21.3%
Blender Benchmark 2.90GPU, classroom (OPTIX)10182.1B +22.9%
Blender Benchmark 2.92GPU, classroom (OPTIX)10384.2B +22.3%
Blender Benchmark 2.81GPU, fishy_cat (CUDA)8866.4B +32.6%
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)88.167.1B +31.3%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)90.968.4B +32.9%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)93.771B +32%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)9972.9B +35.8%
Blender Benchmark 2.92GPU, fishy_cat (CUDA)96.470.9B +35.9%
Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)43.731.2B +39.8%
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)44.631.9B +39.8%
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)43.731.4B +39.1%
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)45.530.2B +50.5%
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)51.533.1B +55.5%
Blender Benchmark 2.81GPU, koro (CUDA)153.5112.9B +36%
Blender Benchmark 2.81aGPU, koro (CUDA)154114.5B +34.5%
Blender Benchmark 2.82GPU, koro (CUDA)153.3113.4B +35.1%
Blender Benchmark 2.83GPU, koro (CUDA)161.1120.2B +34%
Blender Benchmark 2.90GPU, koro (CUDA)165.1116.5B +41.7%
Blender Benchmark 2.92GPU, koro (CUDA)157.8111.1B +42%
Blender Benchmark 2.81aGPU, koro (OPTIX)83.355.4B +50.3%
Blender Benchmark 2.82GPU, koro (OPTIX)80.753.5B +50.8%
Blender Benchmark 2.83GPU, koro (OPTIX)79.653.1B +49.8%
Blender Benchmark 2.90GPU, koro (OPTIX)98.859.4B +66.3%
Blender Benchmark 2.92GPU, koro (OPTIX)172.698.4B +75.5%
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)287.5234.9B +22.4%
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)288.2236.4B +21.9%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)290.1234.3B +23.8%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)290.6236B +23.1%
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)305.5242.3B +26.1%
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)285.3225.1B +26.7%
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)132.8101.3B +31.1%
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)131.7101.6B +29.6%
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)128.799.5B +29.3%
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)128.898B +31.5%
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)130.6100.2B +30.3%
Blender Benchmark 2.81GPU, victor (CUDA)382.7288.3B +32.7%
Blender Benchmark 2.81aGPU, victor (CUDA)383.5290B +32.2%
Blender Benchmark 2.82GPU, victor (CUDA)377.2282.3B +33.6%
Blender Benchmark 2.83GPU, victor (CUDA)383.5290.2B +32.2%
Blender Benchmark 2.90GPU, victor (CUDA)376.9277.9B +35.6%
Blender Benchmark 2.92GPU, victor (CUDA)434.6330B +31.7%
Blender Benchmark 2.81aGPU, victor (OPTIX)166.4132.5B +25.5%
Blender Benchmark 2.82GPU, victor (OPTIX)161.2129.3B +24.6%
Blender Benchmark 2.83GPU, victor (OPTIX)160.2128.9B +24.3%
Blender Benchmark 2.90GPU, victor (OPTIX)153.3116.6B +31.5%
Blender Benchmark 2.92GPU, victor (OPTIX)192137.1B +40.1%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,189.42,799.5B +27.9%
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,143.12,835.9B +32.3%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,427.43,084.5B +27.1%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,447.33,235.5B +32.2%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,467.73,223B +30.6%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,394.93,218.9B +34.4%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,6193,362.6B +28.4%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,604.63,343.5B +28.4%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,374.92,872.1B +20.9%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,262.82,903.2B +28.3%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,228.42,818.4B +26.5%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,225.82,792.6B +25.5%

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

Reference results (36)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)970.4860.1reference
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)979.6866.3reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)51.638.8reference
Blender Benchmark 2.81GPU, bmw27 (OPTIX)26.719.5reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)26.219.3reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)172.6154.7reference
Blender Benchmark 2.81GPU, classroom (OPTIX)101.381.1reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)100.284.5reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)91.367.6reference
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)43.330.4reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)45.530.5reference
Blender Benchmark 2.91.2GPU, koro (CUDA)154.6108.6reference
Blender Benchmark 2.81GPU, koro (OPTIX)8256.1reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)98.459.2reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)283.7223.3reference
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)130.399.5reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)129.899.5reference
Blender Benchmark 2.91.2GPU, victor (CUDA)360.5270.2reference
Blender Benchmark 2.81GPU, victor (OPTIX)167.1131.2reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)152118.1reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,556.42,112.4reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)1,531.1—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,580.62,233.4reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,546.72,339.9reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,562.2—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,569.92,225.7reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,460.82,330reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,079.72,754.3reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,522.53,373.2reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,413.73,108.3reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,072.42,627.7reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,123.52,749.3reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,338.4—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—2,461.2no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—2,495.4no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—3,011.2no pair

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

Specifications

Chip

  • GPU chip

    ATU104-410-A1

    BTU102-300A-K1-A1

    differs
  • Architecture

    ATuring

    BTuring

    equal
  • Shader units

    A2,560 (CUDA cores)

    B4,352 (CUDA cores)

    B: 1,792 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,605 MHz

    B1,350 MHz

    A: 255 MHz more
  • Boost clock

    A1,770 MHz

    B1,545 MHz

    A: 225 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

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A256 bit

    B352 bit

    B: 96 bit more
  • Memory bandwidth

    A448 GB/s

    B616 GB/s

    B: 168 GB/s more

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

Power and dimensions

  • Board power

    A215 W (TDP)

    B250 W (TDP)

    B: 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.

“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 RTX 2070 SUPER and NVIDIA GeForce RTX 2080 Ti have?

NVIDIA GeForce RTX 2070 SUPER: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 2080 Ti: 11 GB GDDR6, 352-bit bus.

Which is faster: NVIDIA GeForce RTX 2070 SUPER or NVIDIA GeForce RTX 2080 Ti?

NVIDIA GeForce RTX 2080 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 RTX 2070 SUPER, specifications of NVIDIA GeForce RTX 2080 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 3.1.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0, benchmark Blender Benchmark 3.1.2checked November 14, 2026

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

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