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GeForce RTX 3080 Laptop GPU vs GeForce RTX 4050 Laptop GPU: specs and benchmark comparison

ANVIDIA · Ampere

NVIDIA GeForce RTX 3080 Laptop GPU

    January 12, 2021

    BNVIDIA · Ada Lovelace

    NVIDIA GeForce RTX 4050 Laptop GPU

    • 6 GB GDDR6
    • 35–115 W

    February 22, 2023

    Short verdict

    NVIDIA GeForce RTX 3080 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 3080 Laptop GPUGeForce RTX 4050 Laptop GPU →
    • Rendering and compute

      A +25.6%

      NVIDIA GeForce RTX 3080 Laptop GPU leads in this scenario (up to 25.6% 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 RTX 3080 Laptop GPU is better2

    • Blender Benchmark 4.5.0 11.7% faster2,903 samples/min vs 2,599 samples/min

    • Memory bus 160 bit more256 bit vs 96 bit

    Where GeForce RTX 4050 Laptop GPU is better0

    No advantages found in our data.

    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 4.5.0

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

      A ahead by 11.7%

      Position among tested models (67, OptiX)

      B · 2,599A · 2,903
      05,00010,00015,000
      Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

      NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 11.7% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080 Laptop GPU

      2,903 samples/min · community measurement, sample 46 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 46 submissions (7 outliers excluded), interquartile range 2826.16–3093.58; submissions 2025-07-19 to 2026-03-10; OPTIX backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 4050 Laptop GPU

      2,599 samples/min · community measurement, sample 373 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 373 submissions (30 outliers excluded), interquartile range 2464.65–2683.34; submissions 2025-07-17 to 2026-11-13; 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 (8)
    BenchmarkABDifference
    Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,896.32,549.3A +13.6%
    Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,749.22,447.6A +12.3%
    Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,661.22,915.8A +25.6%
    Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,353.32,894A +15.9%
    Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,245.32,643.1A +22.8%
    Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,222.42,648.1A +21.7%
    Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,039.62,518.8A +20.7%
    Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,914.32,596.9A +12.2%

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

    Reference results (63)
    BenchmarkABDifference
    Blender Benchmark 2.90GPU, bmw27 (CUDA)37.6—no pair
    Blender Benchmark 2.91.2GPU, bmw27 (CUDA)28.3—no pair
    Blender Benchmark 2.92GPU, bmw27 (CUDA)29.7—no pair
    Blender Benchmark 2.93.1GPU, bmw27 (CUDA)27.8—no pair
    Blender Benchmark 2.90GPU, bmw27 (OPTIX)16.1—no pair
    Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)15.4—no pair
    Blender Benchmark 2.92GPU, bmw27 (OPTIX)16.9—no pair
    Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)16.2—no pair
    Blender Benchmark 2.90GPU, classroom (CUDA)153.1—no pair
    Blender Benchmark 2.92GPU, classroom (CUDA)92.6—no pair
    Blender Benchmark 2.93.1GPU, classroom (CUDA)127.9—no pair
    Blender Benchmark 2.90GPU, classroom (OPTIX)61.2—no pair
    Blender Benchmark 2.91.2GPU, classroom (OPTIX)56.4—no pair
    Blender Benchmark 2.92GPU, classroom (OPTIX)60.3—no pair
    Blender Benchmark 2.93.1GPU, classroom (OPTIX)55.8—no pair
    Blender Benchmark 2.90GPU, fishy_cat (CUDA)73.1—no pair
    Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)53.9—no pair
    Blender Benchmark 2.92GPU, fishy_cat (CUDA)60.8—no pair
    Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)61.2—no pair
    Blender Benchmark 2.90GPU, fishy_cat (OPTIX)34.2—no pair
    Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)30.2—no pair
    Blender Benchmark 2.92GPU, fishy_cat (OPTIX)37.5—no pair
    Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)33.8—no pair
    Blender Benchmark 2.90GPU, koro (CUDA)114.2—no pair
    Blender Benchmark 2.92GPU, koro (CUDA)104.3—no pair
    Blender Benchmark 2.93.1GPU, koro (CUDA)100.2—no pair
    Blender Benchmark 2.90GPU, koro (OPTIX)75.4—no pair
    Blender Benchmark 2.91.2GPU, koro (OPTIX)68—no pair
    Blender Benchmark 2.92GPU, koro (OPTIX)120.9—no pair
    Blender Benchmark 2.93.1GPU, koro (OPTIX)71.8—no pair
    Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)213.1—no pair
    Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)192.5—no pair
    Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)171.9—no pair
    Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)84.1—no pair
    Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)74—no pair
    Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)83.2—no pair
    Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)74.8—no pair
    Blender Benchmark 2.90GPU, victor (CUDA)298.2—no pair
    Blender Benchmark 2.92GPU, victor (CUDA)290.7—no pair
    Blender Benchmark 2.93.1GPU, victor (CUDA)244.5—no pair
    Blender Benchmark 2.90GPU, victor (OPTIX)98.9—no pair
    Blender Benchmark 2.91.2GPU, victor (OPTIX)86.4—no pair
    Blender Benchmark 2.92GPU, victor (OPTIX)124.7—no pair
    Blender Benchmark 2.93.1GPU, victor (OPTIX)106.2—no pair
    Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)2,050.2—no pair
    Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,014.7—no pair
    Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)557.4—no pair
    Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,018.31,572.9reference
    Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,785—no pair
    Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,890.61,491.3reference
    Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,746.42,418.7reference
    Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,401.4—no pair
    Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,484.9—no pair
    Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,508.4—no pair
    Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,366.62,373.2reference
    Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,501.22,852reference
    Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,431.42,817.2reference
    Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,970.52,332.8reference
    Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,234.92,304.6reference
    Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,429.4no pair
    Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,397.4no pair
    Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,443no pair
    Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—2,840.4no 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

    • Architecture

      AAmpere

      BAda Lovelace

      differs
    • Shader units

      A6,144 (CUDA cores)

      B2,560 (CUDA cores)

      not directly comparable

      Shader unit counts are comparable only within one architecture.

    Clocks

    • Boost clock

      A1,245–1,710 MHz

      B1,605–2,370 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

      A256 bit

      B96 bit

      A: 160 bit more

    Power and dimensions

    • Board power

      Ano data

      B35–115 W (graphics subsystem power)

      no data for A

      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.

    • Interface

      Ano data

      BPCIe 4.0

      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

    Which is faster: NVIDIA GeForce RTX 3080 Laptop GPU or NVIDIA GeForce RTX 4050 Laptop GPU?

    NVIDIA GeForce RTX 3080 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 3080 Laptop GPU, specifications of NVIDIA GeForce RTX 4050 Laptop GPUchecked November 7, 2026
    • Blender Open Data (Blender Foundation) — 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 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.3.0, 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 3.2.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.1.0, 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.

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