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GeForce GTX 1060 vs GeForce RTX 3050: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1060

  • 6 GB GDDR5
  • 120 W
  • PSU 400 W+

July 19, 2016

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 1060GeForce RTX 3050 →
  • Rendering and compute

    B +320.7%

    NVIDIA GeForce RTX 3050 leads in this scenario (up to 320.7% 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 1060 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 3.1.0 320.7% faster1,616 samples/min vs 384 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 3.1.0

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

    B ahead by 320.7%

    Position among tested models (38, OptiX)

    A · 384B · 1,616
    02,0004,0006,0008,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 3050 is ahead by 320.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1060

    384.3 samples/min · community measurement, sample 24 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (4 outliers excluded), interquartile range 362.1–392.78; submissions 2022-03-10 to 2022-06-27; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 3050

    1,616.5 samples/min · community measurement, sample 87 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 87 submissions (4 outliers excluded), interquartile range 1541.1–1652.85; submissions 2022-03-09 to 2022-06-30; 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.

Reference results (92)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)1,530.4—no pair
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,531.3—no pair
Blender Benchmark 2.81GPU, bmw27 (CUDA)154.6—no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)153.1—no pair
Blender Benchmark 2.82GPU, bmw27 (CUDA)154.6—no pair
Blender Benchmark 2.83GPU, bmw27 (CUDA)157.7—no pair
Blender Benchmark 2.90GPU, bmw27 (CUDA)167.5—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)156.2—no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)155—no pair
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)134.166.7reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)169.2—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)175.6—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)166.2—no pair
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)167.840.3reference
Blender Benchmark 2.81GPU, classroom (CUDA)555.1—no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)543.4—no pair
Blender Benchmark 2.82GPU, classroom (CUDA)548.4—no pair
Blender Benchmark 2.83GPU, classroom (CUDA)561.6—no pair
Blender Benchmark 2.90GPU, classroom (CUDA)563.9—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)524.1—no pair
Blender Benchmark 2.92GPU, classroom (CUDA)531.6—no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)485.5310.2reference
Blender Benchmark 2.90GPU, classroom (OPTIX)586.4—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)623.5134.6reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)314.5—no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)308.3—no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)316.9—no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)321.8—no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)322.9—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)297.5—no pair
Blender Benchmark 2.92GPU, fishy_cat (CUDA)309—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)309.1142.4reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)330—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)327.580.1reference
Blender Benchmark 2.81GPU, koro (CUDA)606.7—no pair
Blender Benchmark 2.81aGPU, koro (CUDA)610.4—no pair
Blender Benchmark 2.82GPU, koro (CUDA)605.8—no pair
Blender Benchmark 2.83GPU, koro (CUDA)595.9—no pair
Blender Benchmark 2.90GPU, koro (CUDA)541.2—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)523.3—no pair
Blender Benchmark 2.92GPU, koro (CUDA)543.5—no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)544.6227.1reference
Blender Benchmark 2.90GPU, koro (OPTIX)379.6—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)379.3159.1reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)888.4—no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)867.8—no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)874.2—no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)895.9—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)926.8—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)831—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)880.4—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)816.9411reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)891.7—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)906.3187.8reference
Blender Benchmark 2.81GPU, victor (CUDA)1,781.5—no pair
Blender Benchmark 2.81aGPU, victor (CUDA)1,463.5—no pair
Blender Benchmark 2.82GPU, victor (CUDA)1,505.3—no pair
Blender Benchmark 2.83GPU, victor (CUDA)1,591.5—no pair
Blender Benchmark 2.90GPU, victor (CUDA)1,238.9—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)1,298.8—no pair
Blender Benchmark 2.92GPU, victor (CUDA)2,037.2—no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)1,255.7600.1reference
Blender Benchmark 2.90GPU, victor (OPTIX)1,234.9—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)1,329.1251.4reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)357.7—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)450.2—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)335.1—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)434.4909.7reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)454—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)447851.8reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)428.5—no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)413.2789.8reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)352.2—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)345.21,379.4reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)349.31,350.2reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2891,223.8reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2551,127.9reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)413.71,629.3reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)388.81,594.9reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)378.81,584.8reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)378.81,587.8reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3831,600.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)390.61,714.1reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)376.61,656reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)362.41,497.2reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)358.11,428.1reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)347.41,387.3reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)356.51,382.6reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)310.11,185.7reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—823.9no 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

    APascal

    BAmpere

    differs
  • Shader units

    A1,280 (CUDA cores)

    B2,560 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,506 MHz

    B1,550 MHz

    B: 44 MHz more
  • Boost clock

    A1,708 MHz

    B1,780 MHz

    B: 72 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
  • Memory bandwidth

    A192 GB/s

    Bno data

    no data for B

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

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

    A400 W

    B550 W

    B: 150 W higher
  • Interface

    APCIe 3.0

    BPCIe 4.0

    differs
  • Length (reference / Founders Edition)

    A250 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 6-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 1060 and NVIDIA GeForce RTX 3050 have?

NVIDIA GeForce GTX 1060: 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 1060, 400 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 1060: PCIe 3.0. NVIDIA GeForce RTX 3050: PCIe 4.0.

Which is faster: NVIDIA GeForce GTX 1060 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 1060, 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 2.91.2, 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 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.5.0, 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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