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GeForce RTX 3080 Ti Laptop GPU vs GeForce RTX 4060: specs and benchmark comparison

ANVIDIA · Ampere

NVIDIA GeForce RTX 3080 Ti Laptop GPU

  • 16 GB GDDR6

January 25, 2022

BNVIDIA · Ada Lovelace

NVIDIA GeForce RTX 4060

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

June 29, 2023 · $299 at launch

Short verdict

NVIDIA GeForce RTX 3080 Ti 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 Ti Laptop GPUGeForce RTX 4060 →
  • Rendering and compute

    A +15%

    NVIDIA GeForce RTX 3080 Ti Laptop GPU leads in this scenario (up to 15% 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 Ti Laptop GPU is better2

  • Video memory 8 GB more16 GB vs 8 GB

  • Memory bus 128 bit more256 bit vs 128 bit

Where GeForce RTX 4060 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

    4% difference, within the threshold

    Position among tested models (67, OptiX)

    A · 3,061B · 3,185
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    The 4% difference is below the noticeable threshold (5%).

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

    3,061.5 samples/min · community measurement, sample 28 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 28 submissions (2 outliers excluded), interquartile range 2704.75–3350.88; submissions 2025-07-18 to 2026-08-05; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 4060

    3,185 samples/min · community measurement, sample 411 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 411 submissions (28 outliers excluded), interquartile range 3107.16–3224.43; submissions 2025-07-17 to 2026-08-25; 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 (3)
BenchmarkABDifference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,317.73,068.4A +8.1%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,038.13,512.2A +15%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,480.63,198.1A +8.8%

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

Reference results (33)
BenchmarkABDifference
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)29.3—no pair
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)15.9—no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)130.7—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)58.6—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)57.4—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)31.2—no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)101.2—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)66.2—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)164.7—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)77—no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)239.5—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)101.8—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,650.7—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,835.11,887.7reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,252.23,068.8reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,260.92,978.5reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,385.3—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,740.6—no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,389.7—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,819.8—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,425.53,234.2reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,850.33,374.9reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,521.43,482.5reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,9393,552reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,938.63,200.7reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,360.43,061reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,305.33,144.9reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,166.32,933.4reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,561.33,141.2reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,844.3no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,988.8no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,888.4no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,121.7no 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

    A7,424 (CUDA cores)

    B3,072 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    Ano data

    B1,830 MHz

    no data for A
  • Boost clock

    A1,125–1,590 MHz

    B2,460 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

    A16 GB

    B8 GB

    A: 8 GB more
  • Memory type

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A256 bit

    B128 bit

    A: 128 bit more

Power and dimensions

  • Board power

    Ano data

    B115 W (TGP)

    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.

  • Recommended PSU

    Ano data

    B550 W

    no data for A
  • Interface

    Ano data

    BPCIe 4.0

    no data for A
  • Thickness (slots)

    Ano data

    B2

    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

How much video memory do NVIDIA GeForce RTX 3080 Ti Laptop GPU and NVIDIA GeForce RTX 4060 have?

NVIDIA GeForce RTX 3080 Ti Laptop GPU: 16 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 4060: 8 GB GDDR6, 128-bit bus.

Which is faster: NVIDIA GeForce RTX 3080 Ti Laptop GPU or NVIDIA GeForce RTX 4060?

NVIDIA GeForce RTX 3080 Ti 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 Ti Laptop GPU, specifications of NVIDIA GeForce RTX 4060checked November 7, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 4.1.0, 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 3.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0checked 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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