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

ANVIDIA · Turing

NVIDIA GeForce GTX 1660

  • 6 GB GDDR5
  • 120 W
  • PSU 450 W+

March 14, 2019 · $219 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 1660GeForce RTX 2060 →
  • Rendering and compute

    B +143%

    NVIDIA GeForce RTX 2060 leads in this scenario (up to 143% 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 is better1

  • Board power 40 W lower120 W (board power) vs 160 W (board power)

Where GeForce RTX 2060 is better8

  • Blender Benchmark 2.91.2 27.6% lower81 s vs 103 s

  • Blender Benchmark 2.90 11% lower310 s vs 344 s

  • Blender Benchmark 2.90 43.8% lower139 s vs 201 s

  • Blender Benchmark 2.90 30.4% lower252 s vs 329 s

  • Blender Benchmark 2.90 22.7% lower494 s vs 607 s

  • Blender Benchmark 2.90 33% lower588 s vs 782 s

  • Blender Benchmark 4.5.0 131.5% faster1,574 samples/min vs 680 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 2.91.2

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

    B ahead by 27.6%

    Position among tested models (9, CUDA)

    B · 81A · 103
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 27.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660

    103 s · community measurement, sample 21 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 21 submissions (3 outliers excluded), interquartile range 100.54–103.45; submissions 2021-02-13 to 2021-03-11; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    80.7 s · community measurement, sample 35 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 35 submissions (1 outliers excluded), interquartile range 74.72–84.86; submissions 2021-02-01 to 2021-09-22; 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 (CUDA) · s, lower is better

    B ahead by 11%

    Position among tested models (25, CUDA)

    B · 310A · 344
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 11% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660

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

    Blender Open Data (Blender Foundation)

    Median of 45 submissions (8 outliers excluded), interquartile range 341.82–356.75; submissions 2020-09-03 to 2021-01-20; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    310.5 s · community measurement, sample 279 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 279 submissions (4 outliers excluded), interquartile range 229.63–337.38; submissions 2020-09-02 to 2021-02-19; 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 (CUDA) · s, lower is better

    B ahead by 43.8%

    Position among tested models (22, CUDA)

    B · 139A · 201
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 43.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660

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

    Blender Open Data (Blender Foundation)

    Median of 40 submissions (6 outliers excluded), interquartile range 199.05–204.92; submissions 2020-09-03 to 2021-01-09; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2060

    139.4 s · community measurement, sample 228 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 228 submissions (4 outliers excluded), interquartile range 131.44–151.24; 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 (CUDA) · s, lower is better

    B ahead by 30.4%

    Position among tested models (22, CUDA)

    B · 252A · 329
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2060 is ahead by 30.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660

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

    Blender Open Data (Blender Foundation)

    Median of 38 submissions (7 outliers excluded), interquartile range 326.4–336.55; submissions 2020-09-03 to 2021-01-09; 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 22.7%

    Position among tested models (23, CUDA)

    B · 494A · 607
    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 22.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660

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

    Blender Open Data (Blender Foundation)

    Median of 38 submissions (6 outliers excluded), interquartile range 602.24–614.64; submissions 2020-09-03 to 2021-01-09; 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 33%

    Position among tested models (20, CUDA)

    B · 588A · 782
    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 33% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660

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

    Blender Open Data (Blender Foundation)

    Median of 36 submissions (7 outliers excluded), interquartile range 768.8–797.89; submissions 2020-09-03 to 2021-01-09; 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 131.5%

    Position among tested models (67, OptiX)

    A · 680B · 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 131.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660

    679.7 samples/min · community measurement, sample 22 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 22 submissions (0 outliers excluded), interquartile range 623.88–697.87; submissions 2025-07-17 to 2026-03-26; 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 (17)
BenchmarkABDifference
Blender Benchmark 2.82GPU, bmw27 (CUDA)97.774.3B +31.5%
Blender Benchmark 2.83GPU, bmw27 (CUDA)98.274.6B +31.7%
Blender Benchmark 2.90GPU, bmw27 (CUDA)103.879.9B +30%
Blender Benchmark 2.82GPU, classroom (CUDA)337.8295.4B +14.4%
Blender Benchmark 2.83GPU, classroom (CUDA)340.7297.5B +14.5%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)194133.2B +45.6%
Blender Benchmark 2.82GPU, koro (CUDA)316.7249.4B +27%
Blender Benchmark 2.83GPU, koro (CUDA)330.3258.3B +27.9%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)582.5478B +21.9%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)580.9473.2B +22.7%
Blender Benchmark 2.83GPU, victor (CUDA)800.2603.8B +32.5%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)744.31,712.1B +130%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)724.31,759.7B +143%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)726.61,713.7B +135.9%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)777.31,856.7B +138.9%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)7001,613.2B +130.5%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)700.71,627.8B +132.3%

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

Reference results (119)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)1,138.51,092.5reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,181.51,058.5reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)96.375.1reference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)95.274.2reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)111.693.5reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)103.878.6reference
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)88.570reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)82.135.4reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)74.336.9reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)79.237.1reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)8642.2reference
Blender Benchmark 2.81GPU, classroom (CUDA)342310.6reference
Blender Benchmark 2.81aGPU, classroom (CUDA)345.9322.2reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)385.9351reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)347.4332.4reference
Blender Benchmark 2.92GPU, classroom (CUDA)361.4327.1reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)316.4297.5reference
Blender Benchmark 2.90GPU, classroom (OPTIX)319.1160.3reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)313.8175.6reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)328176.5reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)186.7127.5reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)186.4127.4reference
Blender Benchmark 2.82GPU, fishy_cat (CUDA)188.1130.9reference
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)261.8161.9reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)188.6133.8reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)201.5136.9reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)198.1132.7reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)159.563.7reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)159.466.5reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)170.174.6reference
Blender Benchmark 2.81GPU, koro (CUDA)320.4258.2reference
Blender Benchmark 2.81aGPU, koro (CUDA)316.5252.8reference
Blender Benchmark 2.90.1GPU, koro (CUDA)402.1—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)286.5247.1reference
Blender Benchmark 2.92GPU, koro (CUDA)313.5259.9reference
Blender Benchmark 2.93.1GPU, koro (CUDA)334.9238.7reference
Blender Benchmark 2.90GPU, koro (OPTIX)199.4137.4reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)196.8139.8reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)211.1150.8reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)580.6488reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)584.7490.1reference
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)874.8—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)551.6468.9reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)592.3481.8reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)518.7437.6reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)458.8180.9reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)455.5215.6reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)471.8209.8reference
Blender Benchmark 2.81GPU, victor (CUDA)806.9597.7reference
Blender Benchmark 2.81aGPU, victor (CUDA)798.7603.5reference
Blender Benchmark 2.82GPU, victor (CUDA)789.6588.8reference
Blender Benchmark 2.90.1GPU, victor (CUDA)980.8646.8reference
Blender Benchmark 2.91.2GPU, victor (CUDA)764.3595.1reference
Blender Benchmark 2.92GPU, victor (CUDA)919.3644.8reference
Blender Benchmark 2.93.1GPU, victor (CUDA)860.9622.7reference
Blender Benchmark 2.90GPU, victor (OPTIX)646.9234.2reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)688.9263.6reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)702.8288.8reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)808.8548reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)707.91,079.4reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)764.5946.5reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)791.71,194.1reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)616.31,223reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)754.91,115.4reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)744.51,087.6reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)775.6—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)689.21,524.6reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)595.51,522.3reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)617.61,426.3reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)798.61,886.9reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)644.91,762.8reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)753.31,743.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)7541,830.5reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)686.41,529reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6761,522.9reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)490.61,487.3reference
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)—1,892.7no pair
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)—1,781.1no pair
Blender Benchmark 2.81GPU, 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 2.92GPU, classroom (OPTIX)—179.7no 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 2.92GPU, fishy_cat (OPTIX)—74.7no 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 2.81GPU, 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 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—991.6no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—983.7no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,011.9no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,136.9no 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
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—905no pair
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—1,447.5no pair

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

Specifications

Chip

  • 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

    AGDDR5

    BGDDR6

    differs
  • Memory bus

    A192 bit

    B192 bit

    equal

Power and dimensions

  • Board power

    A120 W (board power)

    B160 W (board power)

    B: 40 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.

  • Recommended PSU

    A450 W

    B500 W

    B: 50 W higher
  • Interface

    APCIe 3.0

    BPCIe 3.0

    equal
  • Length (reference / Founders Edition)

    A145 mm

    B229 mm

    B: 84 mm higher

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    B2

    equal
  • Power connectors (reference)

    A1x 8-pin

    B1x 8-pin

    equal

“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 and NVIDIA GeForce RTX 2060 have?

NVIDIA GeForce GTX 1660: 6 GB GDDR5, 192-bit bus. NVIDIA GeForce RTX 2060: 6 GB GDDR6, 192-bit bus.

What power supply does the manufacturer recommend?

For NVIDIA GeForce GTX 1660, 450 W or more; for NVIDIA GeForce RTX 2060, 500 W or more. This is a recommendation for a typical system; also check the power connectors of the specific card model.

Which PCIe interface do the cards use?

NVIDIA GeForce GTX 1660: PCIe 3.0. NVIDIA GeForce RTX 2060: PCIe 3.0.

Which is faster: NVIDIA GeForce GTX 1660 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)
  • NVIDIA — specifications of NVIDIA GeForce GTX 1660, 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 2.90.1, 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 3.2.1, 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 4.3.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, 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 5.1.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026
  • Wikipedia (English) — release date and launch pricechecked November 14, 2026

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

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