Skip to content
RU

GeForce RTX 2060 vs GeForce RTX 2070 SUPER: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce RTX 2060

  • 6 GB GDDR6
  • 160 W
  • PSU 500 W+

January 7, 2019

BNVIDIA · Turing

NVIDIA GeForce RTX 2070 SUPER

  • 8 GB GDDR6
  • 215 W

July 9, 2019 · $499 at launch

Short verdict

NVIDIA GeForce RTX 2070 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 2060GeForce RTX 2070 SUPER →
  • Rendering and compute

    B +90.9%

    NVIDIA GeForce RTX 2070 SUPER leads in this scenario (up to 90.9% 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 is better0

No advantages found in our data.

Where GeForce RTX 2070 SUPER is better16

  • Blender Benchmark 2.93.1 55% lower45 s vs 70 s

  • Blender Benchmark 2.93.1 44.8% lower29 s vs 42 s

  • Blender Benchmark 2.93.1 90.9% lower156 s vs 297 s

  • Blender Benchmark 2.93.1 68.9% lower105 s vs 176 s

  • Blender Benchmark 2.93.1 46.8% lower90 s vs 133 s

  • Blender Benchmark 2.93.1 46.9% lower51 s vs 75 s

  • Blender Benchmark 2.93.1 61.6% lower148 s vs 239 s

  • Blender Benchmark 2.93.1 44.8% lower104 s vs 151 s

  • Blender Benchmark 2.93.1 70.5% lower257 s vs 438 s

  • Blender Benchmark 2.93.1 54.8% lower135 s vs 210 s

  • Blender Benchmark 2.93.1 61.8% lower385 s vs 623 s

  • Blender Benchmark 2.93.1 57.1% lower184 s vs 289 s

  • Blender Benchmark 4.5.0 42% faster2,235 samples/min vs 1,574 samples/min

  • Shader units 640 more2,560 (CUDA cores) vs 1,920 (CUDA cores)

  • Video memory 2 GB more8 GB vs 6 GB

  • Memory bus 64 bit more256 bit vs 192 bit

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 55%

    Position among tested models (31, CUDA)

    B · 45A · 70
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 55% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

    70 s · community measurement, sample 99 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 99 submissions (4 outliers excluded), interquartile range 65.53–74.02; submissions 2021-07-09 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 44.8%

    Position among tested models (20, OptiX)

    B · 29A · 42
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 44.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

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

    Blender Open Data (Blender Foundation)

    Median of 81 submissions (1 outliers excluded), interquartile range 39.94–47.39; submissions 2021-07-09 to 2022-02-22; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 90.9%

    Position among tested models (26, CUDA)

    B · 156A · 297
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 90.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

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

    Blender Open Data (Blender Foundation)

    Median of 68 submissions (13 outliers excluded), interquartile range 281.72–323.97; submissions 2021-07-09 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 68.9%

    Position among tested models (14, OptiX)

    B · 105A · 176
    050100150200
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 68.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

    176.5 s · community measurement, sample 60 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 60 submissions (6 outliers excluded), interquartile range 167.97–191.14; submissions 2021-07-14 to 2022-02-22; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 46.8%

    Position among tested models (21, CUDA)

    B · 90A · 133
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 46.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

    132.7 s · community measurement, sample 51 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 51 submissions (7 outliers excluded), interquartile range 125.23–140.84; submissions 2021-07-09 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 46.9%

    Position among tested models (13, OptiX)

    B · 51A · 75
    020406080
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 46.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

    74.6 s · community measurement, sample 52 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 52 submissions (0 outliers excluded), interquartile range 70.49–83.06; submissions 2021-07-15 to 2022-02-22; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 61.6%

    Position among tested models (20, CUDA)

    B · 148A · 239
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 61.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

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

    Blender Open Data (Blender Foundation)

    Median of 47 submissions (7 outliers excluded), interquartile range 229.05–251.72; submissions 2021-07-09 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 44.8%

    Position among tested models (13, OptiX)

    B · 104A · 151
    050100150200
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 44.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

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

    Blender Open Data (Blender Foundation)

    Median of 45 submissions (6 outliers excluded), interquartile range 141.23–165.87; submissions 2021-07-15 to 2022-02-22; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 70.5%

    Position among tested models (21, CUDA)

    B · 257A · 438
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 70.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

    437.6 s · community measurement, sample 56 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 56 submissions (7 outliers excluded), interquartile range 413.2–473.78; submissions 2021-07-09 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 54.8%

    Position among tested models (13, OptiX)

    B · 135A · 210
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 54.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

    209.8 s · community measurement, sample 56 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 56 submissions (2 outliers excluded), interquartile range 200.08–232.81; submissions 2021-07-15 to 2022-02-22; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 61.8%

    Position among tested models (19, CUDA)

    B · 385A · 623
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 61.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

    622.7 s · community measurement, sample 48 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 48 submissions (5 outliers excluded), interquartile range 581.47–658.17; submissions 2021-07-09 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 57.1%

    Position among tested models (13, OptiX)

    B · 184A · 289
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 57.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

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

    Blender Open Data (Blender Foundation)

    Median of 46 submissions (2 outliers excluded), interquartile range 273.03–315.34; submissions 2021-07-15 to 2022-02-22; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 42%

    Position among tested models (67, OptiX)

    A · 1,574B · 2,235
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 42% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2060

    1,573.6 samples/min · community measurement, sample 162 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 162 submissions (6 outliers excluded), interquartile range 1437.27–1643.46; submissions 2025-07-20 to 2026-07-05; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 (75)
BenchmarkABDifference
Blender Benchmark 2.81GPU, bmw27 (CUDA)75.149.3B +52.2%
Blender Benchmark 2.81aGPU, bmw27 (CUDA)74.249.1B +51%
Blender Benchmark 2.82GPU, bmw27 (CUDA)74.349.9B +48.9%
Blender Benchmark 2.83GPU, bmw27 (CUDA)74.650.5B +47.8%
Blender Benchmark 2.90GPU, bmw27 (CUDA)79.954.4B +46.8%
Blender Benchmark 2.92GPU, bmw27 (CUDA)78.652.2B +50.7%
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)37.327.1B +37.8%
Blender Benchmark 2.82GPU, bmw27 (OPTIX)37.226.7B +39.1%
Blender Benchmark 2.83GPU, bmw27 (OPTIX)35.525.8B +37.6%
Blender Benchmark 2.90GPU, bmw27 (OPTIX)35.425.8B +37.3%
Blender Benchmark 2.92GPU, bmw27 (OPTIX)37.126.5B +39.9%
Blender Benchmark 2.81GPU, classroom (CUDA)310.6168.4B +84.4%
Blender Benchmark 2.81aGPU, classroom (CUDA)322.2169.4B +90.2%
Blender Benchmark 2.82GPU, classroom (CUDA)295.4165.2B +78.8%
Blender Benchmark 2.83GPU, classroom (CUDA)297.5168B +77.1%
Blender Benchmark 2.90GPU, classroom (CUDA)310.5171.7B +80.8%
Blender Benchmark 2.92GPU, classroom (CUDA)327.1177.3B +84.6%
Blender Benchmark 2.81aGPU, classroom (OPTIX)163.1101.2B +61.1%
Blender Benchmark 2.82GPU, classroom (OPTIX)159.5100.4B +58.9%
Blender Benchmark 2.83GPU, classroom (OPTIX)142.7100B +42.7%
Blender Benchmark 2.90GPU, classroom (OPTIX)160.3101B +58.8%
Blender Benchmark 2.92GPU, classroom (OPTIX)179.7103B +74.5%
Blender Benchmark 2.81GPU, fishy_cat (CUDA)127.588B +44.8%
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)127.488.1B +44.6%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)130.990.9B +44%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)133.293.7B +42.1%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)139.499B +40.8%
Blender Benchmark 2.92GPU, fishy_cat (CUDA)136.996.4B +42.1%
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)63.444.6B +42.2%
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)6343.7B +44.4%
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)63.745.5B +40.1%
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)74.751.5B +45%
Blender Benchmark 2.81GPU, koro (CUDA)258.2153.5B +68.2%
Blender Benchmark 2.81aGPU, koro (CUDA)252.8154B +64.1%
Blender Benchmark 2.82GPU, koro (CUDA)249.4153.3B +62.7%
Blender Benchmark 2.83GPU, koro (CUDA)258.3161.1B +60.4%
Blender Benchmark 2.90GPU, koro (CUDA)252.5165.1B +52.9%
Blender Benchmark 2.92GPU, koro (CUDA)259.9157.8B +64.7%
Blender Benchmark 2.82GPU, koro (OPTIX)112.980.7B +39.9%
Blender Benchmark 2.83GPU, koro (OPTIX)11179.6B +39.5%
Blender Benchmark 2.90GPU, koro (OPTIX)137.498.8B +39%
Blender Benchmark 2.92GPU, koro (OPTIX)239172.6B +38.5%
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)488287.5B +69.7%
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)490.1288.2B +70.1%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)478290.1B +64.8%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)473.2290.6B +62.8%
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)494.2305.5B +61.8%
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)481.8285.3B +68.9%
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)194.8131.7B +47.9%
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)183.2128.7B +42.4%
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)180.9128.8B +40.5%
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)211.5130.6B +61.9%
Blender Benchmark 2.81GPU, victor (CUDA)597.7382.7B +56.2%
Blender Benchmark 2.81aGPU, victor (CUDA)603.5383.5B +57.4%
Blender Benchmark 2.82GPU, victor (CUDA)588.8377.2B +56.1%
Blender Benchmark 2.83GPU, victor (CUDA)603.8383.5B +57.4%
Blender Benchmark 2.90GPU, victor (CUDA)587.9376.9B +56%
Blender Benchmark 2.92GPU, victor (CUDA)644.8434.6B +48.4%
Blender Benchmark 2.82GPU, victor (OPTIX)265.1161.2B +64.5%
Blender Benchmark 2.83GPU, victor (OPTIX)255.7160.2B +59.6%
Blender Benchmark 2.90GPU, victor (OPTIX)234.2153.3B +52.7%
Blender Benchmark 2.92GPU, victor (OPTIX)299.6192B +56%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,524.62,189.4B +43.6%
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,522.32,143.1B +40.8%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,426.32,079.7B +45.8%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,712.12,427.4B +41.8%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,743.72,447.3B +40.4%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,759.72,467.7B +40.2%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,713.72,394.9B +39.7%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,830.52,619B +43.1%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,856.72,604.6B +40.3%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,613.22,374.9B +47.2%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,627.82,262.8B +39%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,5292,228.4B +45.7%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,522.92,225.8B +46.1%

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

Reference results (53)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)1,092.5574.1reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,058.5559.4reference
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)1,892.7970.4reference
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)1,781.1979.6reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)93.5—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)80.751.6reference
Blender Benchmark 2.81GPU, bmw27 (OPTIX)38.826.7reference
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)40.9—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)36.926.2reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)351—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)332.4172.6reference
Blender Benchmark 2.81GPU, classroom (OPTIX)188.9101.3reference
Blender Benchmark 2.90.1GPU, classroom (OPTIX)180.1—no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)175.6100.2reference
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)161.9—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)133.891.3reference
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)70.543.3reference
Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)63.643.7reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)66.545.5reference
Blender Benchmark 2.91.2GPU, koro (CUDA)247.1154.6reference
Blender Benchmark 2.81GPU, koro (OPTIX)135.382reference
Blender Benchmark 2.81aGPU, koro (OPTIX)117.683.3reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)139.898.4reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)468.9283.7reference
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)226.7130.3reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)203.4132.8reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)215.6129.8reference
Blender Benchmark 2.90.1GPU, victor (CUDA)646.8—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)595.1360.5reference
Blender Benchmark 2.81GPU, victor (OPTIX)364.1167.1reference
Blender Benchmark 2.81aGPU, victor (OPTIX)382.8166.4reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)263.6152reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)548—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,079.41,556.4reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (CUDA)315.1—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)991.6—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)946.51,531.1reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)983.71,580.6reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,011.91,546.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,194.1—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,223—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,115.41,562.2reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,087.61,569.9reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,136.9—no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)874.8—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)977.21,460.8reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,032.5—no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,886.92,522.5reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)905—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,762.82,413.7reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,447.52,072.4reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,487.32,123.5reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—2,338.4no pair

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

Specifications

Chip

  • GPU chip

    Ano data

    BTU104-410-A1

    no data for A
  • Architecture

    ATuring

    BTuring

    equal
  • Shader units

    A1,920 (CUDA cores)

    B2,560 (CUDA cores)

    B: 640 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,370 MHz

    B1,605 MHz

    B: 235 MHz more
  • Boost clock

    A1,680 MHz

    B1,770 MHz

    B: 90 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

    A6 GB

    B8 GB

    B: 2 GB more
  • Memory type

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A192 bit

    B256 bit

    B: 64 bit more
  • Memory bandwidth

    Ano data

    B448 GB/s

    no data for A

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

Power and dimensions

  • Board power

    A160 W (board power)

    B215 W (TDP)

    not directly comparable

    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.

  • Recommended PSU

    A500 W

    Bno data

    no data for B
  • Interface

    APCIe 3.0

    Bno data

    no data for B
  • Length (reference / Founders Edition)

    A229 mm

    Bno data

    no data for B

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    Bno data

    no data for B
  • Power connectors (reference)

    A1x 8-pin

    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 RTX 2060 and NVIDIA GeForce RTX 2070 SUPER have?

NVIDIA GeForce RTX 2060: 6 GB GDDR6, 192-bit bus. NVIDIA GeForce RTX 2070 SUPER: 8 GB GDDR6, 256-bit bus.

Which is faster: NVIDIA GeForce RTX 2060 or NVIDIA GeForce RTX 2070 SUPER?

NVIDIA GeForce RTX 2070 SUPER leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (3)
  • NVIDIA — specifications of NVIDIA GeForce RTX 2060checked November 7, 2026
  • Wikipedia (English) — specifications of NVIDIA GeForce RTX 2070 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 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.1.2, 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 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0checked November 14, 2026

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

TelegramVK