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GeForce RTX 2060 SUPER vs GeForce RTX 2080 SUPER: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce RTX 2060 SUPER

  • 8 GB GDDR6
  • 175 W

July 9, 2019 · $399 at launch

BNVIDIA · Turing

NVIDIA GeForce RTX 2080 SUPER

  • 8 GB GDDR6
  • 250 W

July 23, 2019 · $699 at launch

Short verdict

NVIDIA GeForce RTX 2080 SUPER leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Compare with AI
← GeForce RTX 2060 SUPERGeForce RTX 2080 SUPER →
  • Rendering and compute

    B +88.1%

    NVIDIA GeForce RTX 2080 SUPER leads in this scenario (up to 88.1% 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 2060 SUPER is better2

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

  • Launch price $300 lower$399 vs $699

Where GeForce RTX 2080 SUPER is better15

  • Blender Benchmark 2.93.1 23.8% lower46 s vs 57 s

  • Blender Benchmark 2.93.1 10.9% lower29 s vs 32 s

  • Blender Benchmark 2.93.1 85.5% lower149 s vs 277 s

  • Blender Benchmark 2.90 79.5% lower90 s vs 162 s

  • Blender Benchmark 2.90 24% lower100 s vs 124 s

  • Blender Benchmark 2.90 40.6% lower40 s vs 56 s

  • Blender Benchmark 2.90 17.2% lower163 s vs 191 s

  • Blender Benchmark 2.90 46.5% lower81 s vs 118 s

  • Blender Benchmark 2.90 52.7% lower302 s vs 461 s

  • Blender Benchmark 2.90 59.6% lower119 s vs 189 s

  • Blender Benchmark 2.90 37.3% lower372 s vs 510 s

  • Blender Benchmark 2.90 73.2% lower133 s vs 230 s

  • Blender Benchmark 4.5.0 10.9% faster2,293 samples/min vs 2,067 samples/min

  • Shader units 896 more3,072 (CUDA cores) vs 2,176 (CUDA cores)

  • Memory bandwidth 47.9 GB/s more495.9 GB/s vs 448 GB/s

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 23.8%

    Position among tested models (31, CUDA)

    B · 46A · 57
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 23.8% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 2080 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 33 submissions (3 outliers excluded), interquartile range 45.46–47.66; submissions 2021-07-11 to 2022-02-27; 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 10.9%

    Position among tested models (20, OptiX)

    B · 29A · 32
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 10.9% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 2080 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 22 submissions (0 outliers excluded), interquartile range 27.21–29.41; submissions 2021-07-19 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, classroom (CUDA) · s, lower is better

    B ahead by 85.5%

    Position among tested models (26, CUDA)

    B · 149A · 277
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 85.5% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 2080 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 22 submissions (1 outliers excluded), interquartile range 148.22–154.89; submissions 2021-07-11 to 2022-02-21; 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 79.5%

    Position among tested models (15, OptiX)

    B · 90A · 162
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 79.5% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 2080 SUPER

    90.2 s · community measurement, sample 81 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 81 submissions (10 outliers excluded), interquartile range 89.4–91.43; submissions 2020-09-02 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 2.90

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

    B ahead by 24%

    Position among tested models (22, CUDA)

    B · 100A · 124
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 24% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 116 submissions (13 outliers excluded), interquartile range 121.33–125.24; submissions 2020-09-02 to 2021-01-30; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 SUPER

    99.8 s · community measurement, sample 121 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 121 submissions (25 outliers excluded), interquartile range 97.95–101.06; submissions 2020-09-02 to 2021-02-01; 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, fishy_cat (OPTIX) · s, lower is better

    B ahead by 40.6%

    Position among tested models (13, OptiX)

    B · 40A · 56
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 40.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 30 submissions (6 outliers excluded), interquartile range 55.02–56.53; submissions 2020-09-02 to 2021-01-12; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 SUPER

    39.7 s · community measurement, sample 61 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 61 submissions (11 outliers excluded), interquartile range 39.27–40.2; submissions 2020-09-02 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 2.90

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

    B ahead by 17.2%

    Position among tested models (22, CUDA)

    B · 163A · 191
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 17.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 100 submissions (15 outliers excluded), interquartile range 188.53–194.19; submissions 2020-09-02 to 2021-01-30; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 SUPER

    163.3 s · community measurement, sample 112 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 112 submissions (21 outliers excluded), interquartile range 161.87–166.92; submissions 2020-09-02 to 2021-02-01; 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, koro (OPTIX) · s, lower is better

    B ahead by 46.5%

    Position among tested models (13, OptiX)

    B · 81A · 118
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 46.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 30 submissions (6 outliers excluded), interquartile range 116.65–119.66; submissions 2020-09-02 to 2021-01-12; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 SUPER

    80.5 s · community measurement, sample 66 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 66 submissions (11 outliers excluded), interquartile range 80.23–81.66; submissions 2020-09-02 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 2.90

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

    B ahead by 52.7%

    Position among tested models (23, CUDA)

    B · 302A · 461
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 52.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 102 submissions (14 outliers excluded), interquartile range 452.8–466.95; submissions 2020-09-02 to 2021-01-30; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 SUPER

    301.9 s · community measurement, sample 117 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 117 submissions (17 outliers excluded), interquartile range 298.38–309.39; submissions 2020-09-02 to 2021-02-01; 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, pavillon_barcelona (OPTIX) · s, lower is better

    B ahead by 59.6%

    Position among tested models (13, OptiX)

    B · 119A · 189
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 59.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 34 submissions (5 outliers excluded), interquartile range 186.85–192.12; submissions 2020-09-02 to 2021-01-25; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 SUPER

    118.7 s · community measurement, sample 70 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 70 submissions (13 outliers excluded), interquartile range 117.98–120.42; submissions 2020-09-02 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 2.90

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

    B ahead by 37.3%

    Position among tested models (20, CUDA)

    B · 372A · 510
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 37.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 102 submissions (9 outliers excluded), interquartile range 501.09–522.62; submissions 2020-09-02 to 2021-01-30; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 SUPER

    371.7 s · community measurement, sample 111 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 111 submissions (18 outliers excluded), interquartile range 366.17–380.44; submissions 2020-09-02 to 2021-02-01; 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, victor (OPTIX) · s, lower is better

    B ahead by 73.2%

    Position among tested models (13, OptiX)

    B · 133A · 230
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2080 SUPER is ahead by 73.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 26 submissions (8 outliers excluded), interquartile range 228.62–231.78; submissions 2020-09-02 to 2021-01-12; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2080 SUPER

    132.8 s · community measurement, sample 81 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 81 submissions (16 outliers excluded), interquartile range 132.15–134.59; submissions 2020-09-02 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 4.5.0

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

    B ahead by 10.9%

    Position among tested models (67, OptiX)

    A · 2,067B · 2,293
    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 SUPER is ahead by 10.9% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 2080 SUPER

    2,292.6 samples/min · community measurement, sample 40 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 40 submissions (3 outliers excluded), interquartile range 2221.12–2330.97; submissions 2025-07-24 to 2026-09-26; OPTIX backend. Snapshot 2026-11-14.

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

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

Other comparable benchmarks (37)
BenchmarkABDifference
Blender Benchmark 2.82GPU, bmw27 (CUDA)63.650.6B +25.8%
Blender Benchmark 2.83GPU, bmw27 (CUDA)65.750.7B +29.7%
Blender Benchmark 2.90GPU, bmw27 (CUDA)66.355.6B +19.2%
Blender Benchmark 2.82GPU, bmw27 (OPTIX)30.625.4B +20.2%
Blender Benchmark 2.83GPU, bmw27 (OPTIX)29.625.2B +17.7%
Blender Benchmark 2.90GPU, bmw27 (OPTIX)30.625.1B +22%
Blender Benchmark 2.82GPU, classroom (CUDA)292.8158.6B +84.6%
Blender Benchmark 2.83GPU, classroom (CUDA)299.2159.1B +88.1%
Blender Benchmark 2.90GPU, classroom (CUDA)300.7163.3B +84.1%
Blender Benchmark 2.82GPU, classroom (OPTIX)159.990.8B +76.1%
Blender Benchmark 2.83GPU, classroom (OPTIX)158.690.1B +76%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)119.790.8B +31.8%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)12692.8B +35.7%
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)58.139.6B +46.7%
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)56.538.8B +45.7%
Blender Benchmark 2.82GPU, koro (CUDA)210.8149.5B +41%
Blender Benchmark 2.83GPU, koro (CUDA)220.1156.7B +40.5%
Blender Benchmark 2.82GPU, koro (OPTIX)10667.7B +56.6%
Blender Benchmark 2.83GPU, koro (OPTIX)101.967B +52.2%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)450.2284.6B +58.2%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)449.2283.5B +58.4%
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)190.3123.3B +54.4%
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)183.7120.5B +52.5%
Blender Benchmark 2.82GPU, victor (CUDA)522.2372B +40.4%
Blender Benchmark 2.83GPU, victor (CUDA)538.5376.7B +43%
Blender Benchmark 2.82GPU, victor (OPTIX)250.5141.5B +77.1%
Blender Benchmark 2.83GPU, victor (OPTIX)245.2140.8B +74.1%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,099.42,234.5B +6.4%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,307.12,431.9B +5.4%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,288.42,485.1B +8.6%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,315.72,462.5B +6.3%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,378.72,644.5B +11.2%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,450.32,634.8B +7.5%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,138.12,282.1B +6.7%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,158.42,327.6B +7.8%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,0492,253.2B +10%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,113.62,571.2B +21.6%

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

Reference results (88)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)1,076.9518.7reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,070.2522.6reference
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)1,716.3917.2reference
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)1,792.2885.7reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)63.150.7reference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)61.949.9reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)71.5—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)6651.7reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)69.153.2reference
Blender Benchmark 2.81GPU, bmw27 (OPTIX)26.528.1reference
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)30.225.4reference
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)31.6—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)30.725.5reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)31.426.1reference
Blender Benchmark 2.81GPU, classroom (CUDA)298.5160.8reference
Blender Benchmark 2.81aGPU, classroom (CUDA)299.4163.2reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)350.2—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)305.3165.6reference
Blender Benchmark 2.92GPU, classroom (CUDA)320.8166.3reference
Blender Benchmark 2.81GPU, classroom (OPTIX)167.996.2reference
Blender Benchmark 2.81aGPU, classroom (OPTIX)161.791.2reference
Blender Benchmark 2.90.1GPU, classroom (OPTIX)169.6—no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)166.791.1reference
Blender Benchmark 2.92GPU, classroom (OPTIX)171.494reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)170.595.3reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)115.387reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)115.488reference
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)143.6—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)11389.9reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)120.296.9reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)109.590.9reference
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)57.140.4reference
Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)5638.5reference
Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX)57.3—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)55.8—no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)63.344.7reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)60.844.7reference
Blender Benchmark 2.81GPU, koro (CUDA)207.7149.8reference
Blender Benchmark 2.81aGPU, koro (CUDA)209.1150.6reference
Blender Benchmark 2.90.1GPU, koro (CUDA)222.1—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)179.3150.6reference
Blender Benchmark 2.92GPU, koro (CUDA)188.6155.3reference
Blender Benchmark 2.93.1GPU, koro (CUDA)180.7147.3reference
Blender Benchmark 2.81GPU, koro (OPTIX)103.471.4reference
Blender Benchmark 2.81aGPU, koro (OPTIX)110.868.3reference
Blender Benchmark 2.90.1GPU, koro (OPTIX)123.1—no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)119.8—no pair
Blender Benchmark 2.92GPU, koro (OPTIX)206.2139.5reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)124.386reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)439.5282.8reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)446.9283.9reference
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)543.8—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)417277.9reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)430.7279reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)394253.5reference
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)192.4129.1reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)189.9119.3reference
Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX)193.6—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)193.2120.9reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)195.3122.6reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)196.7127.4reference
Blender Benchmark 2.81GPU, victor (CUDA)520.3378.4reference
Blender Benchmark 2.81aGPU, victor (CUDA)528.8380.6reference
Blender Benchmark 2.90.1GPU, victor (CUDA)604.2—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)481.9356.8reference
Blender Benchmark 2.92GPU, victor (CUDA)566.8432reference
Blender Benchmark 2.93.1GPU, victor (CUDA)503.2385.3reference
Blender Benchmark 2.81GPU, victor (OPTIX)260.1409.6reference
Blender Benchmark 2.81aGPU, victor (OPTIX)260.2194.8reference
Blender Benchmark 2.90.1GPU, victor (OPTIX)244—no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)232.2134.1reference
Blender Benchmark 2.92GPU, victor (OPTIX)276.1165reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)264.5159.7reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,4081,631.8reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,445.8—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,328.51,769.3reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,442.8—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,380.9—no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,993.12,171.8reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,928.22,202.7reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,487.82,537.9reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,259.42,425.3reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,180.52,430.7reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,879.9—no pair
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,883.92,168.2reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,755.1no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,646.2no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,667.7no pair

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

Specifications

Chip

  • GPU chip

    ATU106-410-A1

    BTU104-450-A1

    differs
  • Architecture

    ATuring

    BTuring

    equal
  • Shader units

    A2,176 (CUDA cores)

    B3,072 (CUDA cores)

    B: 896 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,470 MHz

    B1,650 MHz

    B: 180 MHz more
  • Boost clock

    A1,650 MHz

    B1,815 MHz

    B: 165 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

    B8 GB

    equal
  • Memory type

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A256 bit

    B256 bit

    equal
  • Memory bandwidth

    A448 GB/s

    B495.9 GB/s

    B: 47.9 GB/s more

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

Power and dimensions

  • Board power

    A175 W (TDP)

    B250 W (TDP)

    B: 75 W higher

    TGP (NVIDIA) and TBP (AMD/Intel) are calculated differently; higher is not better. For laptops, the chip maker sets the range and the laptop maker picks the value, so the same chip behaves differently in different laptops.

“More” does not always mean “better”: higher power draw or size is a system requirement, not an advantage (such bars are dimmed).

Compare with AI

An AI model reviews the specs and benchmarks of this pair and gives a plain-language verdict on who each model suits.

AI verdict

Questions and answers

How much video memory do NVIDIA GeForce RTX 2060 SUPER and NVIDIA GeForce RTX 2080 SUPER have?

NVIDIA GeForce RTX 2060 SUPER: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 2080 SUPER: 8 GB GDDR6, 256-bit bus.

Which is faster: NVIDIA GeForce RTX 2060 SUPER or NVIDIA GeForce RTX 2080 SUPER?

NVIDIA GeForce RTX 2080 SUPER leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (2)
  • Wikipedia (English) — specifications of NVIDIA GeForce RTX 2060 SUPER, specifications of NVIDIA GeForce RTX 2080 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 2.90.1, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, 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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