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GeForce RTX 2070 SUPER vs GeForce RTX 3060 Laptop GPU: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce RTX 2070 SUPER

  • 8 GB GDDR6
  • 215 W

July 9, 2019 · $499 at launch

BNVIDIA · Ampere

NVIDIA GeForce RTX 3060 Laptop GPU

  • 6 GB GDDR6

January 12, 2021

Short verdict

It depends on the task: rendering and compute: results disagree.

Compare with AI
← GeForce RTX 2070 SUPERGeForce RTX 3060 Laptop GPU →
  • Rendering and compute

    depends on the task

    Benchmark results disagree, so the choice depends on the specific task.

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 better4

  • Blender Benchmark 2.93.1 33.7% lower156 s vs 208 s

  • Blender Benchmark 2.93.1 5.2% lower257 s vs 270 s

  • Video memory 2 GB more8 GB vs 6 GB

  • Memory bus 64 bit more256 bit vs 192 bit

Where GeForce RTX 3060 Laptop GPU is better6

  • Blender Benchmark 2.93.1 10.8% lower41 s vs 45 s

  • Blender Benchmark 2.93.1 25.4% lower23 s vs 29 s

  • Blender Benchmark 2.93.1 19% lower88 s vs 105 s

  • Blender Benchmark 2.93.1 10% lower82 s vs 90 s

  • Blender Benchmark 2.93.1 17.2% lower116 s vs 135 s

  • Blender Benchmark 2.93.1 11.4% lower165 s vs 184 s

Benchmarks

Results are compared within one benchmark, one version and the same conditions. Laptop chip results depend on the laptop model: its maker sets the power limit and cooling.

  • Blender Benchmark 2.93.1

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

    B ahead by 10.8%

    Position among tested models (31, CUDA)

    B · 41A · 45
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 10.8% 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 3060 Laptop GPU

    40.8 s · community measurement, sample 186 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 186 submissions (10 outliers excluded), interquartile range 38.78–44.93; submissions 2021-07-11 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.

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

    Render time of a single Cycles scene without synchronization. Median of submissions after filtering.

  • Blender Benchmark 2.93.1

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

    B ahead by 25.4%

    Position among tested models (20, OptiX)

    B · 23A · 29
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 25.4% 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 3060 Laptop GPU

    23.2 s · community measurement, sample 87 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 87 submissions (4 outliers excluded), interquartile range 22.67–25.18; submissions 2021-07-15 to 2022-02-27; 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

    A ahead by 33.7%

    Position among tested models (26, CUDA)

    A · 156B · 208
    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 33.7% 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 3060 Laptop GPU

    208.3 s · community measurement, sample 151 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 151 submissions (4 outliers excluded), interquartile range 195.6–223.25; submissions 2021-07-11 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.

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

    Render time of a single Cycles scene without synchronization. Median of submissions after filtering.

  • Blender Benchmark 2.93.1

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

    B ahead by 19%

    Position among tested models (14, OptiX)

    B · 88A · 105
    050100150200
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 19% 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 3060 Laptop GPU

    87.8 s · community measurement, sample 77 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 77 submissions (4 outliers excluded), interquartile range 83.22–93.78; submissions 2021-07-15 to 2022-02-27; 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 10%

    Position among tested models (21, CUDA)

    B · 82A · 90
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 10% 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 3060 Laptop GPU

    82.2 s · community measurement, sample 113 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 113 submissions (3 outliers excluded), interquartile range 77.61–90.16; 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, fishy_cat (OPTIX) · s, lower is better

    1.2% difference, within the threshold

    Position among tested models (13, OptiX)

    B · 50A · 51
    020406080
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 1.2% difference is below the noticeable threshold (5%).

    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 3060 Laptop GPU

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

    Blender Open Data (Blender Foundation)

    Median of 62 submissions (5 outliers excluded), interquartile range 48.68–53.47; submissions 2021-07-15 to 2022-02-27; 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

    2.9% difference, within the threshold

    Position among tested models (20, CUDA)

    A · 148B · 152
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 2.9% difference is below the noticeable threshold (5%).

    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 3060 Laptop GPU

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

    Blender Open Data (Blender Foundation)

    Median of 111 submissions (2 outliers excluded), interquartile range 145.23–167.3; 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, koro (OPTIX) · s, lower is better

    2.1% difference, within the threshold

    Position among tested models (13, OptiX)

    A · 104B · 106
    050100150200
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 2.1% difference is below the noticeable threshold (5%).

    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 3060 Laptop GPU

    106.3 s · community measurement, sample 54 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 54 submissions (8 outliers excluded), interquartile range 103.13–111.66; submissions 2021-07-25 to 2022-02-27; 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

    A ahead by 5.2%

    Position among tested models (21, CUDA)

    A · 257B · 270
    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 5.2% 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 3060 Laptop GPU

    269.9 s · community measurement, sample 110 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 110 submissions (4 outliers excluded), interquartile range 252.84–291.83; 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, pavillon_barcelona (OPTIX) · s, lower is better

    B ahead by 17.2%

    Position among tested models (13, OptiX)

    B · 116A · 135
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 17.2% 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 3060 Laptop GPU

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

    Blender Open Data (Blender Foundation)

    Median of 62 submissions (2 outliers excluded), interquartile range 111.64–123.2; submissions 2021-07-25 to 2022-02-27; 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

    0.9% difference, within the threshold

    Position among tested models (19, CUDA)

    B · 381A · 385
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 0.9% difference is below the noticeable threshold (5%).

    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 3060 Laptop GPU

    381.3 s · community measurement, sample 105 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 105 submissions (7 outliers excluded), interquartile range 360.69–416.17; 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, victor (OPTIX) · s, lower is better

    B ahead by 11.4%

    Position among tested models (13, OptiX)

    B · 165A · 184
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 11.4% 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 3060 Laptop GPU

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

    Blender Open Data (Blender Foundation)

    Median of 56 submissions (2 outliers excluded), interquartile range 157.62–173.86; submissions 2021-07-25 to 2022-02-27; 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

    3.2% difference, within the threshold

    Position among tested models (67, OptiX)

    B · 2,166A · 2,235
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    The 3.2% difference is below the noticeable threshold (5%).

    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 3060 Laptop GPU

    2,166.2 samples/min · community measurement, sample 161 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 161 submissions (14 outliers excluded), interquartile range 1984.24–2305.62; submissions 2025-07-17 to 2026-08-27; 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 (20)
BenchmarkABDifference
Blender Benchmark 2.92GPU, bmw27 (CUDA)52.247.3B +10.2%
Blender Benchmark 2.92GPU, bmw27 (OPTIX)26.523.4B +13.2%
Blender Benchmark 2.92GPU, classroom (CUDA)177.3150.1B +18.1%
Blender Benchmark 2.92GPU, classroom (OPTIX)10392.7B +11.1%
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)51.554.1A +5%
Blender Benchmark 2.92GPU, koro (OPTIX)172.6169.7B +1.7%
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)130.6118.9B +9.9%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,189.42,182.2A +0.3%
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,143.12,127.4A +0.7%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,079.71,971.6A +5.5%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,427.42,437.4B +0.4%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,447.32,444.1A +0.1%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,467.72,481.2B +0.5%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,394.92,527B +5.5%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,6192,687.5B +2.6%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,604.62,665.6B +2.3%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,374.92,302.6A +3.1%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,262.82,303.4B +1.8%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,228.42,264.1B +1.6%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,225.82,197.2A +1.3%

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

Reference results (101)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)574.1—no pair
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)559.4—no pair
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)970.4—no pair
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)979.6—no pair
Blender Benchmark 2.81GPU, bmw27 (CUDA)49.3—no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)49.1—no pair
Blender Benchmark 2.82GPU, bmw27 (CUDA)49.9—no pair
Blender Benchmark 2.83GPU, bmw27 (CUDA)50.5—no pair
Blender Benchmark 2.90GPU, bmw27 (CUDA)54.476reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)51.648.9reference
Blender Benchmark 2.81GPU, bmw27 (OPTIX)26.7—no pair
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)27.1—no pair
Blender Benchmark 2.82GPU, bmw27 (OPTIX)26.7—no pair
Blender Benchmark 2.83GPU, bmw27 (OPTIX)25.8—no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)25.822.5reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)26.225.4reference
Blender Benchmark 2.81GPU, classroom (CUDA)168.4—no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)169.4—no pair
Blender Benchmark 2.82GPU, classroom (CUDA)165.2—no pair
Blender Benchmark 2.83GPU, classroom (CUDA)168—no pair
Blender Benchmark 2.90GPU, classroom (CUDA)171.7255.8reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)172.6165.5reference
Blender Benchmark 2.81GPU, classroom (OPTIX)101.3—no pair
Blender Benchmark 2.81aGPU, classroom (OPTIX)101.2—no pair
Blender Benchmark 2.82GPU, classroom (OPTIX)100.4—no pair
Blender Benchmark 2.83GPU, classroom (OPTIX)100—no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)101100.6reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)100.297reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)88—no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)88.1—no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)90.9—no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)93.7—no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)99131.7reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)91.386.5reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)96.486reference
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)43.3—no pair
Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)43.7—no pair
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)44.6—no pair
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)43.7—no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)45.549.6reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)45.550.5reference
Blender Benchmark 2.81GPU, koro (CUDA)153.5—no pair
Blender Benchmark 2.81aGPU, koro (CUDA)154—no pair
Blender Benchmark 2.82GPU, koro (CUDA)153.3—no pair
Blender Benchmark 2.83GPU, koro (CUDA)161.1—no pair
Blender Benchmark 2.90GPU, koro (CUDA)165.1144.4reference
Blender Benchmark 2.91.2GPU, koro (CUDA)154.6166.2reference
Blender Benchmark 2.92GPU, koro (CUDA)157.8163.1reference
Blender Benchmark 2.81GPU, koro (OPTIX)82—no pair
Blender Benchmark 2.81aGPU, koro (OPTIX)83.3—no pair
Blender Benchmark 2.82GPU, koro (OPTIX)80.7—no pair
Blender Benchmark 2.83GPU, koro (OPTIX)79.6—no pair
Blender Benchmark 2.90GPU, koro (OPTIX)98.8107.8reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)98.4108.9reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)287.5—no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)288.2—no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)290.1—no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)290.6—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)305.5254.5reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)283.7313.7reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)285.3309.8reference
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)130.3—no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)132.8—no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)131.7—no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)128.7—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)128.8128.2reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)129.8128.9reference
Blender Benchmark 2.81GPU, victor (CUDA)382.7—no pair
Blender Benchmark 2.81aGPU, victor (CUDA)383.5—no pair
Blender Benchmark 2.82GPU, victor (CUDA)377.2—no pair
Blender Benchmark 2.83GPU, victor (CUDA)383.5—no pair
Blender Benchmark 2.90GPU, victor (CUDA)376.9330.6reference
Blender Benchmark 2.91.2GPU, victor (CUDA)360.5363.3reference
Blender Benchmark 2.92GPU, victor (CUDA)434.6450reference
Blender Benchmark 2.81GPU, victor (OPTIX)167.1—no pair
Blender Benchmark 2.81aGPU, victor (OPTIX)166.4—no pair
Blender Benchmark 2.82GPU, victor (OPTIX)161.2—no pair
Blender Benchmark 2.83GPU, victor (OPTIX)160.2—no pair
Blender Benchmark 2.90GPU, victor (OPTIX)153.3151reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)152154.3reference
Blender Benchmark 2.92GPU, victor (OPTIX)192179.4reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,556.41,295.7reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)1,531.11,216.5reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,580.61,399.7reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,546.7880.2reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,562.21,432.6reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,569.9—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,460.81,340.9reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,522.52,458.8reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,413.72,473reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,072.42,051.4reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,123.52,047.5reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,338.42,339.6reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,425.4no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,311.2no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,473.2no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,514.9no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,291.2no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,507.4no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,101.6no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—2,238.7no pair

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

Specifications

Chip maker values. The laptop maker sets the power limit and clocks in each laptop.

Chip

  • GPU chip

    ATU104-410-A1

    Bno data

    no data for B
  • Architecture

    ATuring

    BAmpere

    differs
  • Shader units

    A2,560 (CUDA cores)

    B3,840 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,605 MHz

    Bno data

    no data for B
  • Boost clock

    A1,770 MHz

    B1,283–1,703 MHz

    not directly comparable

    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

    B6 GB

    A: 2 GB more
  • Memory type

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A256 bit

    B192 bit

    A: 64 bit more
  • Memory bandwidth

    A448 GB/s

    Bno data

    no data for B

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

Power and dimensions

  • Board power

    A215 W (TDP)

    Bno data

    no data for B

    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 3060 Laptop GPU have?

NVIDIA GeForce RTX 2070 SUPER: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 3060 Laptop GPU: 6 GB GDDR6, 192-bit bus.

Which is faster: NVIDIA GeForce RTX 2070 SUPER or NVIDIA GeForce RTX 3060 Laptop GPU?

It depends on the task: rendering and compute: results disagree.

Data sources (3)
  • Wikipedia (English) — specifications of NVIDIA GeForce RTX 2070 SUPER, release date and launch pricechecked November 14, 2026
  • NVIDIA — specifications of NVIDIA GeForce RTX 3060 Laptop GPUchecked November 7, 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 3.0.1, benchmark Blender Benchmark 3.2.0, 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 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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