Skip to content
RU

GeForce GTX 1660 SUPER vs GeForce RTX 2060: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce GTX 1660 SUPER

  • 6 GB GDDR6
  • 125 W

October 29, 2019 · $229 at launch

BNVIDIA · Turing

NVIDIA GeForce RTX 2060

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

January 7, 2019

Short verdict

NVIDIA GeForce RTX 2060 leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Compare with AI
← GeForce GTX 1660 SUPERGeForce RTX 2060 →
  • Rendering and compute

    B +123.6%

    NVIDIA GeForce RTX 2060 leads in this scenario (up to 123.6% in comparable benchmarks).

No comparable benchmarks yet: gaming: rasterization, gaming: ray tracing, power efficiency.

Advantages

Only measured and rated values: a noticeable benchmark gap and specs where more is better.

Where GeForce GTX 1660 SUPER is better0

No advantages found in our data.

Where GeForce RTX 2060 is better9

  • Blender Benchmark 2.93.1 16.5% lower70 s vs 82 s

  • Blender Benchmark 2.90 117.7% lower35 s vs 77 s

  • Blender Benchmark 2.90 93.3% lower160 s vs 310 s

  • Blender Benchmark 2.92 41.9% lower137 s vs 194 s

  • Blender Benchmark 2.90 14.2% lower252 s vs 288 s

  • Blender Benchmark 2.90 14.2% lower494 s vs 564 s

  • Blender Benchmark 2.90 17.5% lower588 s vs 691 s

  • Blender Benchmark 4.5.0 108.8% faster1,574 samples/min vs 754 samples/min

  • Shader units 512 more1,920 (CUDA cores) vs 1,408 (CUDA cores)

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 16.5%

    Position among tested models (31, CUDA)

    B · 70A · 82
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 16.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 46 submissions (1 outliers excluded), interquartile range 80.4–87.83; submissions 2021-07-10 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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, bmw27 (OPTIX) · s, lower is better

    B ahead by 117.7%

    Position among tested models (17, OptiX)

    B · 35A · 77
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 117.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 SUPER

    77 s · community measurement, sample 43 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 43 submissions (4 outliers excluded), interquartile range 76.1–78.57; submissions 2020-09-04 to 2021-01-16; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    35.4 s · community measurement, sample 170 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 170 submissions (2 outliers excluded), interquartile range 34.18–38.26; submissions 2020-09-02 to 2022-01-01; OPTIX backend. Snapshot 2026-11-14.

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

    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

    3.7% difference, within the threshold

    Position among tested models (26, CUDA)

    B · 297A · 308
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 3.7% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 22 submissions (2 outliers excluded), interquartile range 305.17–310.96; submissions 2021-07-16 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 93.3%

    Position among tested models (15, OptiX)

    B · 160A · 310
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 93.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (2 outliers excluded), interquartile range 305.49–311.77; submissions 2020-09-05 to 2021-01-16; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    160.3 s · community measurement, sample 127 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 127 submissions (0 outliers excluded), interquartile range 132.46–176.11; submissions 2020-09-02 to 2022-01-01; OPTIX backend. Snapshot 2026-11-14.

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

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

  • Blender Benchmark 2.92

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

    B ahead by 41.9%

    Position among tested models (13, CUDA)

    B · 137A · 194
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 41.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (0 outliers excluded), interquartile range 179.96–203.49; submissions 2021-03-21 to 2021-07-23; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    136.9 s · community measurement, sample 57 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 57 submissions (2 outliers excluded), interquartile range 133.09–150.94; submissions 2021-03-14 to 2021-12-29; 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 (CUDA) · s, lower is better

    B ahead by 14.2%

    Position among tested models (22, CUDA)

    B · 252A · 288
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 14.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 SUPER

    288.3 s · community measurement, sample 91 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 91 submissions (19 outliers excluded), interquartile range 284.81–290.84; submissions 2020-09-02 to 2021-01-30; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    252.5 s · community measurement, sample 219 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 219 submissions (7 outliers excluded), interquartile range 242.91–271.44; submissions 2020-09-02 to 2021-03-01; CUDA backend. Snapshot 2026-11-14.

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

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

  • Blender Benchmark 2.90

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

    B ahead by 14.2%

    Position among tested models (23, CUDA)

    B · 494A · 564
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 14.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 99 submissions (15 outliers excluded), interquartile range 555.7–572.24; submissions 2020-09-02 to 2021-01-30; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    494.2 s · community measurement, sample 215 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 215 submissions (8 outliers excluded), interquartile range 426.04–538.06; 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, victor (CUDA) · s, lower is better

    B ahead by 17.5%

    Position among tested models (20, CUDA)

    B · 588A · 691
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 17.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 SUPER

    690.9 s · community measurement, sample 91 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 91 submissions (15 outliers excluded), interquartile range 679.94–700.55; submissions 2020-09-02 to 2021-05-10; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    587.9 s · community measurement, sample 206 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 206 submissions (11 outliers excluded), interquartile range 527.27–641.21; 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 4.5.0

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

    B ahead by 108.8%

    Position among tested models (67, OptiX)

    A · 754B · 1,574
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 2060 is ahead by 108.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 SUPER

    753.8 samples/min · community measurement, sample 102 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 102 submissions (10 outliers excluded), interquartile range 722.53–764.51; submissions 2025-07-20 to 2026-04-11; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 (31)
BenchmarkABDifference
Blender Benchmark 2.82GPU, bmw27 (CUDA)89.674.3B +20.5%
Blender Benchmark 2.83GPU, bmw27 (CUDA)90.674.6B +21.5%
Blender Benchmark 2.90GPU, bmw27 (CUDA)94.879.9B +18.7%
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)93.680.7B +15.9%
Blender Benchmark 2.92GPU, bmw27 (CUDA)95.378.6B +21.2%
Blender Benchmark 2.82GPU, classroom (CUDA)322.1295.4B +9%
Blender Benchmark 2.83GPU, classroom (CUDA)331.8297.5B +11.5%
Blender Benchmark 2.90GPU, classroom (CUDA)331.9310.5B +6.9%
Blender Benchmark 2.92GPU, classroom (CUDA)351.8327.1B +7.5%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)171.9130.9B +31.3%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)177.3133.2B +33.1%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)180.5139.4B +29.5%
Blender Benchmark 2.82GPU, koro (CUDA)287.8249.4B +15.4%
Blender Benchmark 2.83GPU, koro (CUDA)302.8258.3B +17.2%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)546.3478B +14.3%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)543.6473.2B +14.9%
Blender Benchmark 2.82GPU, victor (CUDA)696.3588.8B +18.3%
Blender Benchmark 2.83GPU, victor (CUDA)714.8603.8B +18.4%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)754.81,524.6B +102%
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)700.41,522.3B +117.3%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)679.11,426.3B +110%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)825.91,712.1B +107.3%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)809.11,743.7B +115.5%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)820.61,759.7B +114.4%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)779.41,713.7B +119.9%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)818.71,830.5B +123.6%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)831.81,856.7B +123.2%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)751.91,613.2B +114.6%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)768.91,627.8B +111.7%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)750.81,529B +103.7%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)735.91,522.9B +106.9%

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)1,123.51,092.5reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,096.41,058.5reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)88.675.1reference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)88.374.2reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)77.436.9reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)76.937.1reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)79.742.2reference
Blender Benchmark 2.81GPU, classroom (CUDA)333.9310.6reference
Blender Benchmark 2.81aGPU, classroom (CUDA)336.8322.2reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)330.7351reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)336.4332.4reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)307175.6reference
Blender Benchmark 2.92GPU, classroom (OPTIX)315.3179.7reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)311.6176.5reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)153.9127.5reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)165.4127.4reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)167.5133.8reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)176132.7reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)154.163.7reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)153.766.5reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)173.874.7reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)152.674.6reference
Blender Benchmark 2.81GPU, koro (CUDA)287.5258.2reference
Blender Benchmark 2.81aGPU, koro (CUDA)287.3252.8reference
Blender Benchmark 2.91.2GPU, koro (CUDA)271.1247.1reference
Blender Benchmark 2.92GPU, koro (CUDA)293259.9reference
Blender Benchmark 2.93.1GPU, koro (CUDA)280.1238.7reference
Blender Benchmark 2.90GPU, koro (OPTIX)191.4137.4reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)192.1139.8reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)192.9150.8reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)546.3488reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)543490.1reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)527.6468.9reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)555.9481.8reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)499.7437.6reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)439.1180.9reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)443.9215.6reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)431.2209.8reference
Blender Benchmark 2.81GPU, victor (CUDA)704.3597.7reference
Blender Benchmark 2.81aGPU, victor (CUDA)702603.5reference
Blender Benchmark 2.91.2GPU, victor (CUDA)686.4595.1reference
Blender Benchmark 2.92GPU, victor (CUDA)845.4644.8reference
Blender Benchmark 2.93.1GPU, victor (CUDA)757622.7reference
Blender Benchmark 2.90GPU, victor (OPTIX)604.1234.2reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)605.4263.6reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)1,041288.8reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)847.7548reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)858.51,079.4reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)851991.6reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)884.3946.5reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)895.9983.7reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)823.11,011.9reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)945.91,223reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)650.61,115.4reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)834.71,087.6reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)847.81,136.9reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)864.9—no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)850.61,886.9reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)807905reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)843.21,762.8reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)616.71,447.5reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6921,487.3reference
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)—1,892.7no pair
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)—1,781.1no pair
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)—93.5no pair
Blender Benchmark 2.81GPU, bmw27 (OPTIX)—38.8no pair
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)—37.3no pair
Blender Benchmark 2.82GPU, bmw27 (OPTIX)—37.2no pair
Blender Benchmark 2.83GPU, bmw27 (OPTIX)—35.5no pair
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)—40.9no pair
Blender Benchmark 2.81GPU, classroom (OPTIX)—188.9no pair
Blender Benchmark 2.81aGPU, classroom (OPTIX)—163.1no pair
Blender Benchmark 2.82GPU, classroom (OPTIX)—159.5no pair
Blender Benchmark 2.83GPU, classroom (OPTIX)—142.7no pair
Blender Benchmark 2.90.1GPU, classroom (OPTIX)—180.1no pair
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)—161.9no pair
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)—70.5no pair
Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)—63.6no pair
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)—63.4no pair
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)—63no pair
Blender Benchmark 2.81GPU, koro (OPTIX)—135.3no pair
Blender Benchmark 2.81aGPU, koro (OPTIX)—117.6no pair
Blender Benchmark 2.82GPU, koro (OPTIX)—112.9no pair
Blender Benchmark 2.83GPU, koro (OPTIX)—111no pair
Blender Benchmark 2.92GPU, koro (OPTIX)—239no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)—226.7no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)—203.4no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)—194.8no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)—183.2no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)—211.5no pair
Blender Benchmark 2.90.1GPU, victor (CUDA)—646.8no pair
Blender Benchmark 2.81GPU, victor (OPTIX)—364.1no pair
Blender Benchmark 2.81aGPU, victor (OPTIX)—382.8no pair
Blender Benchmark 2.82GPU, victor (OPTIX)—265.1no pair
Blender Benchmark 2.83GPU, victor (OPTIX)—255.7no pair
Blender Benchmark 2.92GPU, victor (OPTIX)—299.6no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (CUDA)—315.1no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,194.1no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—874.8no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—977.2no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,032.5no pair

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

Specifications

Chip

  • GPU chip

    ATU116-300-A1

    Bno data

    no data for B
  • Architecture

    ATuring

    BTuring

    equal
  • Shader units

    A1,408 (CUDA cores)

    B1,920 (CUDA cores)

    B: 512 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,530 MHz

    B1,370 MHz

    A: 160 MHz more
  • Boost clock

    A1,785 MHz

    B1,680 MHz

    A: 105 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

    B6 GB

    equal
  • Memory type

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A192 bit

    B192 bit

    equal
  • Memory bandwidth

    A336 GB/s

    Bno data

    no data for B

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

Power and dimensions

  • Board power

    A125 W (TDP)

    B160 W (board power)

    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

    Ano data

    B500 W

    no data for A
  • Interface

    Ano data

    BPCIe 3.0

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

    Ano data

    B229 mm

    no data for A

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    Ano data

    B2

    no data for A
  • Power connectors (reference)

    Ano data

    B1x 8-pin

    no data for A

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

Compare with AI

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

AI verdict

Questions and answers

How much video memory do NVIDIA GeForce GTX 1660 SUPER and NVIDIA GeForce RTX 2060 have?

NVIDIA GeForce GTX 1660 SUPER: 6 GB GDDR6, 192-bit bus. NVIDIA GeForce RTX 2060: 6 GB GDDR6, 192-bit bus.

Which is faster: NVIDIA GeForce GTX 1660 SUPER or NVIDIA GeForce RTX 2060?

NVIDIA GeForce RTX 2060 leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (3)
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1660 SUPER, release date and launch pricechecked November 14, 2026
  • NVIDIA — specifications of NVIDIA GeForce RTX 2060checked 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 2.90.1, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, 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 4.3.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.5.0, 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 5.0.0, benchmark Blender Benchmark 5.1.0checked November 14, 2026

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

TelegramVK