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GeForce RTX 3090 vs GeForce RTX 4080 Laptop GPU: specs and benchmark comparison

ANVIDIA · Ampere

NVIDIA GeForce RTX 3090

  • 24 GB GDDR6X
  • 350 W
  • PSU 750 W+

September 24, 2020 · $1,499 at launch

BNVIDIA · Ada Lovelace

NVIDIA GeForce RTX 4080 Laptop GPU

  • 12 GB GDDR6
  • 60–150 W

February 8, 2023

Short verdict

It depends on the task: rendering and compute: results disagree.

Compare with AI
← GeForce RTX 3090GeForce RTX 4080 Laptop GPU →
  • Rendering and compute

    depends on the task

    Benchmark results disagree, so the choice depends on the specific task.

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 3090 is better2

  • Video memory 12 GB more24 GB vs 12 GB

  • Memory bus 192 bit more384 bit vs 192 bit

Where GeForce RTX 4080 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

    0.2% difference, within the threshold

    Position among tested models (67, OptiX)

    A · 5,424B · 5,435
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    The 0.2% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce RTX 3090

    5,423.6 samples/min · community measurement, sample 596 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 596 submissions (34 outliers excluded), interquartile range 5240.15–5558.47; submissions 2025-07-17 to 2026-10-19; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 4080 Laptop GPU

    5,435 samples/min · community measurement, sample 85 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 85 submissions (2 outliers excluded), interquartile range 4717.6–5590.65; submissions 2025-07-17 to 2026-10-19; 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 (11)
BenchmarkABDifference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,354.85,341.5A +0.2%
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,253.34,773.1A +10.1%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,093.84,928.2A +3.4%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,014.66,273.3B +4.3%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,296.96,300.4B +0.1%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,305.56,371.2B +1%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,536.15,630.9B +1.7%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,536.45,242.4A +5.6%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,347.65,117A +4.5%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,3335,383.8B +1%
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,875.85,329.3B +9.3%

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

Reference results (81)
BenchmarkABDifference
Blender Benchmark 2.90GPU, bmw27 (CUDA)21.5—no pair
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)20.5—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)18.5—no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)18.5—no pair
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)16.9—no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)8.9—no pair
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)8.9—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)9.2—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)9.1—no pair
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)9.3—no pair
Blender Benchmark 2.90GPU, classroom (CUDA)70.6—no pair
Blender Benchmark 2.90.1GPU, classroom (CUDA)67.4—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)58.8—no pair
Blender Benchmark 2.92GPU, classroom (CUDA)55.5—no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)79.5—no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)35.2—no pair
Blender Benchmark 2.90.1GPU, classroom (OPTIX)38.9—no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)37.1—no pair
Blender Benchmark 2.92GPU, classroom (OPTIX)34.4—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)33.5—no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)39—no pair
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)37.3—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)33.9—no pair
Blender Benchmark 2.92GPU, fishy_cat (CUDA)34.8—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)34.4—no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)16.5—no pair
Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX)16.8—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)16.7—no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)18.4—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)17.9—no pair
Blender Benchmark 2.90GPU, koro (CUDA)58—no pair
Blender Benchmark 2.90.1GPU, koro (CUDA)57.5—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)57.5—no pair
Blender Benchmark 2.92GPU, koro (CUDA)58—no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)54.6—no pair
Blender Benchmark 2.90GPU, koro (OPTIX)36.5—no pair
Blender Benchmark 2.90.1GPU, koro (OPTIX)37.1—no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)36.3—no pair
Blender Benchmark 2.92GPU, koro (OPTIX)57.1—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)37.9—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)119.6—no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)108.8—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)108.5—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)109.3—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)99.3—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)45.4—no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX)46.6—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)46.9—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)45.1—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)45.1—no pair
Blender Benchmark 2.90GPU, victor (CUDA)159.1—no pair
Blender Benchmark 2.90.1GPU, victor (CUDA)148.7—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)124.3—no pair
Blender Benchmark 2.92GPU, victor (CUDA)178.3—no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)138.7—no pair
Blender Benchmark 2.90GPU, victor (OPTIX)52.8—no pair
Blender Benchmark 2.90.1GPU, victor (OPTIX)57.7—no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)53.9—no pair
Blender Benchmark 2.92GPU, victor (OPTIX)62.5—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)60.4—no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)3,696.5—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,418.3—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,138.2—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)3,448.2—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,729.7—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,797.9—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,864—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)4,060.83,994.3reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,724.8—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,735.6—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,699.3—no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,730.8—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,798—no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,841.8—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,560.4—no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,826.5—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,566.2—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,625.75,375.8reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,018.25,715.5reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,266.15,524.5reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,143.86,253.4reference

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

    A10,496 (CUDA cores)

    B7,424 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,400 MHz

    Bno data

    no data for B
  • Boost clock

    A1,700 MHz

    B1,350–2,280 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

    A24 GB

    B12 GB

    A: 12 GB more
  • Memory type

    AGDDR6X

    BGDDR6

    differs
  • Memory bus

    A384 bit

    B192 bit

    A: 192 bit more

Power and dimensions

  • Board power

    A350 W (board power)

    B60–150 W (graphics subsystem power)

    not directly comparable

    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

    A750 W

    Bno data

    no data for B
  • Interface

    Ano data

    BPCIe 4.0

    no data for A
  • Length (reference / Founders Edition)

    A313 mm

    Bno data

    no data for B

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A3

    Bno data

    no data for B
  • Power connectors (reference)

    A2x 8-pin (adapter to 1x 12-pin included) — FE

    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 RTX 3090 and NVIDIA GeForce RTX 4080 Laptop GPU have?

NVIDIA GeForce RTX 3090: 24 GB GDDR6X, 384-bit bus. NVIDIA GeForce RTX 4080 Laptop GPU: 12 GB GDDR6, 192-bit bus.

Which is faster: NVIDIA GeForce RTX 3090 or NVIDIA GeForce RTX 4080 Laptop GPU?

It depends on the task: rendering and compute: results disagree.

Data sources (3)
  • NVIDIA — specifications of NVIDIA GeForce RTX 3090, specifications of NVIDIA GeForce RTX 4080 Laptop GPUchecked November 7, 2026
  • Blender Open Data (Blender Foundation) — 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 3.2.0, 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 4.3.0, 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 4.4.0, 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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