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GeForce GTX 1660 vs GeForce RTX 3050: 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 · Ampere

NVIDIA GeForce RTX 3050

  • 8 GB GDDR6
  • 130 W
  • PSU 550 W+

January 4, 2022

Short verdict

NVIDIA GeForce RTX 3050 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 3050 →
  • Rendering and compute

    B +120.3%

    NVIDIA GeForce RTX 3050 leads in this scenario (up to 120.3% 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 better2

  • Memory bus 64 bit more192 bit vs 128 bit

  • Board power 10 W lower120 W (board power) vs 130 W (board power)

Where GeForce RTX 3050 is better2

  • Blender Benchmark 4.5.0 98.6% faster1,350 samples/min vs 680 samples/min

  • Video memory 2 GB more8 GB vs 6 GB

Benchmarks

Results are compared within one benchmark, one version and the same conditions.

  • Blender Benchmark 4.5.0

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

    B ahead by 98.6%

    Position among tested models (67, OptiX)

    A · 680B · 1,350
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 3050 is ahead by 98.6% 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 3050

    1,350.2 samples/min · community measurement, sample 142 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 142 submissions (3 outliers excluded), interquartile range 1198.64–1450.25; submissions 2025-07-17 to 2026-07-20; OPTIX backend. Snapshot 2026-11-14.

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

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

Other comparable benchmarks (6)
BenchmarkABDifference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)744.31,616.5B +117.2%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)724.31,587.8B +119.2%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)726.61,600.7B +120.3%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)777.31,656B +113%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)7001,497.2B +113.9%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)700.71,428.1B +103.8%

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

Reference results (96)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)1,138.5—no pair
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,181.5—no pair
Blender Benchmark 2.81GPU, bmw27 (CUDA)96.3—no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)95.2—no pair
Blender Benchmark 2.82GPU, bmw27 (CUDA)97.7—no pair
Blender Benchmark 2.83GPU, bmw27 (CUDA)98.2—no pair
Blender Benchmark 2.90GPU, bmw27 (CUDA)103.8—no pair
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)111.6—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)103—no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)103.8—no pair
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)88.566.7reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)82.1—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)74.3—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)79.2—no pair
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)8640.3reference
Blender Benchmark 2.81GPU, classroom (CUDA)342—no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)345.9—no pair
Blender Benchmark 2.82GPU, classroom (CUDA)337.8—no pair
Blender Benchmark 2.83GPU, classroom (CUDA)340.7—no pair
Blender Benchmark 2.90GPU, classroom (CUDA)344.5—no pair
Blender Benchmark 2.90.1GPU, classroom (CUDA)385.9—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)347.4—no pair
Blender Benchmark 2.92GPU, classroom (CUDA)361.4—no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)316.4310.2reference
Blender Benchmark 2.90GPU, classroom (OPTIX)319.1—no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)313.8—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)328134.6reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)186.7—no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)186.4—no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)188.1—no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)194—no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)200.5—no pair
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)261.8—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)188.6—no pair
Blender Benchmark 2.92GPU, fishy_cat (CUDA)201.5—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)198.1142.4reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)159.5—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)159.4—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)170.180.1reference
Blender Benchmark 2.81GPU, koro (CUDA)320.4—no pair
Blender Benchmark 2.81aGPU, koro (CUDA)316.5—no pair
Blender Benchmark 2.82GPU, koro (CUDA)316.7—no pair
Blender Benchmark 2.83GPU, koro (CUDA)330.3—no pair
Blender Benchmark 2.90GPU, koro (CUDA)329.3—no pair
Blender Benchmark 2.90.1GPU, koro (CUDA)402.1—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)286.5—no pair
Blender Benchmark 2.92GPU, koro (CUDA)313.5—no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)334.9227.1reference
Blender Benchmark 2.90GPU, koro (OPTIX)199.4—no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)196.8—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)211.1159.1reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)580.6—no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)584.7—no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)582.5—no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)580.9—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)606.6—no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)874.8—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)551.6—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)592.3—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)518.7411reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)458.8—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)455.5—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)471.8187.8reference
Blender Benchmark 2.81GPU, victor (CUDA)806.9—no pair
Blender Benchmark 2.81aGPU, victor (CUDA)798.7—no pair
Blender Benchmark 2.82GPU, victor (CUDA)789.6—no pair
Blender Benchmark 2.83GPU, victor (CUDA)800.2—no pair
Blender Benchmark 2.90GPU, victor (CUDA)781.7—no pair
Blender Benchmark 2.90.1GPU, victor (CUDA)980.8—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)764.3—no pair
Blender Benchmark 2.92GPU, victor (CUDA)919.3—no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)860.9600.1reference
Blender Benchmark 2.90GPU, victor (OPTIX)646.9—no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)688.9—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)702.8251.4reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)808.8—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)707.9—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)764.5—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)791.7—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)616.3—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)754.9823.9reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)744.5851.8reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)775.6789.8reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)689.21,379.4reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)595.51,223.8reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)617.61,127.9reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)798.61,629.3reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)644.91,594.9reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)753.31,584.8reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)7541,714.1reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)686.41,387.3reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6761,382.6reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)490.61,185.7reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—909.7no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—803.4no pair
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—1,198.1no pair

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

Specifications

Chip

  • Architecture

    ATuring

    BAmpere

    differs
  • Shader units

    A1,408 (CUDA cores)

    B2,560 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,530 MHz

    B1,550 MHz

    B: 20 MHz more
  • Boost clock

    A1,785 MHz

    B1,780 MHz

    A: 5 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

    AGDDR5

    BGDDR6

    differs
  • Memory bus

    A192 bit

    B128 bit

    A: 64 bit more

Power and dimensions

  • Board power

    A120 W (board power)

    B130 W (board power)

    B: 10 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

    B550 W

    B: 100 W higher
  • Interface

    APCIe 3.0

    BPCIe 4.0

    differs
  • Length (reference / Founders Edition)

    A145 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 GTX 1660 and NVIDIA GeForce RTX 3050 have?

NVIDIA GeForce GTX 1660: 6 GB GDDR5, 192-bit bus. NVIDIA GeForce RTX 3050: 8 GB GDDR6, 128-bit bus.

What power supply does the manufacturer recommend?

For NVIDIA GeForce GTX 1660, 450 W or more; for NVIDIA GeForce RTX 3050, 550 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 3050: PCIe 4.0.

Which is faster: NVIDIA GeForce GTX 1660 or NVIDIA GeForce RTX 3050?

NVIDIA GeForce RTX 3050 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 3050checked 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 3.4.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.3.0, 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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