Skip to content
RU

GeForce RTX 3050 Laptop GPU vs GeForce RTX 3060 Laptop GPU: specs and benchmark comparison

ANVIDIA · Ampere

NVIDIA GeForce RTX 3050 Laptop GPU

    May 11, 2021

    BNVIDIA · Ampere

    NVIDIA GeForce RTX 3060 Laptop GPU

    • 6 GB GDDR6

    January 12, 2021

    Short verdict

    NVIDIA GeForce RTX 3060 Laptop GPU leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

    Compare with AI
    ← GeForce RTX 3050 Laptop GPUGeForce RTX 3060 Laptop GPU →
    • Rendering and compute

      B +109.9%

      NVIDIA GeForce RTX 3060 Laptop GPU leads in this scenario (up to 109.9% 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 RTX 3050 Laptop GPU is better0

    No advantages found in our data.

    Where GeForce RTX 3060 Laptop GPU is better2

    • Blender Benchmark 2.93.1 91.1% lower41 s vs 78 s

    • Blender Benchmark 4.5.0 88.6% faster2,166 samples/min vs 1,148 samples/min

    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 91.1%

      Position among tested models (31, CUDA)

      B · 41A · 78
      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 91.1% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3050 Laptop GPU

      77.9 s · community measurement, sample 23 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 23 submissions (1 outliers excluded), interquartile range 72.49–86.4; submissions 2021-07-13 to 2022-02-28; 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 4.5.0

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

      B ahead by 88.6%

      Position among tested models (67, OptiX)

      A · 1,148B · 2,166
      05,00010,00015,000
      Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

      NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 88.6% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3050 Laptop GPU

      1,148.5 samples/min · community measurement, sample 191 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 191 submissions (7 outliers excluded), interquartile range 994.91–1201.19; submissions 2025-07-17 to 2026-06-03; 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 (13)
    BenchmarkABDifference
    Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,157.32,182.2B +88.6%
    Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,122.42,127.4B +89.5%
    Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)9801,971.6B +101.2%
    Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,244.22,437.4B +95.9%
    Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,244.32,444.1B +96.4%
    Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,230.22,481.2B +101.7%
    Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,203.72,527B +109.9%
    Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,307.82,687.5B +105.5%
    Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,326.62,665.6B +100.9%
    Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,150.62,302.6B +100.1%
    Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,184.92,303.4B +94.4%
    Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,115.12,264.1B +103%
    Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,145.32,197.2B +91.8%

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

    Reference results (67)
    BenchmarkABDifference
    Blender Benchmark 2.92GPU, bmw27 (CUDA)75.847.3reference
    Blender Benchmark 2.92GPU, bmw27 (OPTIX)49.323.4reference
    Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)46.123.2reference
    Blender Benchmark 2.93.1GPU, classroom (CUDA)343.8208.3reference
    Blender Benchmark 2.93.1GPU, classroom (OPTIX)153.287.8reference
    Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)165.782.2reference
    Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)95.650.2reference
    Blender Benchmark 2.93.1GPU, koro (CUDA)285.8152reference
    Blender Benchmark 2.93.1GPU, koro (OPTIX)196.1106.3reference
    Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)482.8269.9reference
    Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)216.6115.6reference
    Blender Benchmark 2.93.1GPU, victor (CUDA)4,335.8381.3reference
    Blender Benchmark 2.93.1GPU, victor (OPTIX)313.5165.1reference
    Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)553.11,425.4reference
    Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)647.71,295.7reference
    Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)740.61,311.2reference
    Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)599.91,216.5reference
    Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)720.81,399.7reference
    Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)730.1880.2reference
    Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)688.31,473.2reference
    Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)4691,514.9reference
    Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)539.71,432.6reference
    Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)723.6—no pair
    Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)516.81,291.2reference
    Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)690.51,340.9reference
    Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,261.62,458.8reference
    Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,123.92,238.7reference
    Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,237.82,473reference
    Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)837.52,051.4reference
    Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,101.72,047.5reference
    Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,074.32,339.6reference
    Blender Benchmark 2.90GPU, bmw27 (CUDA)—76no pair
    Blender Benchmark 2.91.2GPU, bmw27 (CUDA)—48.9no pair
    Blender Benchmark 2.90GPU, bmw27 (OPTIX)—22.5no pair
    Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)—25.4no pair
    Blender Benchmark 2.90GPU, classroom (CUDA)—255.8no pair
    Blender Benchmark 2.91.2GPU, classroom (CUDA)—165.5no pair
    Blender Benchmark 2.92GPU, classroom (CUDA)—150.1no pair
    Blender Benchmark 2.90GPU, classroom (OPTIX)—100.6no pair
    Blender Benchmark 2.91.2GPU, classroom (OPTIX)—97no pair
    Blender Benchmark 2.92GPU, classroom (OPTIX)—92.7no pair
    Blender Benchmark 2.90GPU, fishy_cat (CUDA)—131.7no pair
    Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)—86.5no pair
    Blender Benchmark 2.92GPU, fishy_cat (CUDA)—86no pair
    Blender Benchmark 2.90GPU, fishy_cat (OPTIX)—49.6no pair
    Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)—50.5no pair
    Blender Benchmark 2.92GPU, fishy_cat (OPTIX)—54.1no pair
    Blender Benchmark 2.90GPU, koro (CUDA)—144.4no pair
    Blender Benchmark 2.91.2GPU, koro (CUDA)—166.2no pair
    Blender Benchmark 2.92GPU, koro (CUDA)—163.1no pair
    Blender Benchmark 2.90GPU, koro (OPTIX)—107.8no pair
    Blender Benchmark 2.91.2GPU, koro (OPTIX)—108.9no pair
    Blender Benchmark 2.92GPU, koro (OPTIX)—169.7no pair
    Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)—254.5no pair
    Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)—313.7no pair
    Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)—309.8no pair
    Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)—128.2no pair
    Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)—128.9no pair
    Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)—118.9no pair
    Blender Benchmark 2.90GPU, victor (CUDA)—330.6no pair
    Blender Benchmark 2.91.2GPU, victor (CUDA)—363.3no pair
    Blender Benchmark 2.92GPU, victor (CUDA)—450no pair
    Blender Benchmark 2.90GPU, victor (OPTIX)—151no pair
    Blender Benchmark 2.91.2GPU, victor (OPTIX)—154.3no pair
    Blender Benchmark 2.92GPU, victor (OPTIX)—179.4no 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

    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

      AGA107

      Bno data

      no data for B
    • Architecture

      AAmpere

      BAmpere

      equal
    • Shader units

      Ano data

      B3,840 (CUDA cores)

      no data for A

      Shader unit counts are comparable only within one architecture.

    Clocks

    • Boost clock

      A990–1,740 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

      Ano data

      B6 GB

      no data for A
    • Memory type

      AGDDR6

      BGDDR6

      equal
    • Memory bus

      Ano data

      B192 bit

      no data for A

    Power and dimensions

    • Interface

      APCIe 4.0 x8

      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

    Which is faster: NVIDIA GeForce RTX 3050 Laptop GPU or NVIDIA GeForce RTX 3060 Laptop GPU?

    NVIDIA GeForce RTX 3060 Laptop GPU 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 RTX 3050 Laptop GPU, specifications of NVIDIA GeForce RTX 3060 Laptop GPUchecked November 7, 2026
    • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.91.2, 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 3.5.0, 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 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.2, 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 5.3.0checked November 14, 2026
    • Wikipedia (English) — release date and launch pricechecked November 14, 2026

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

    TelegramVK