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GeForce RTX 4090 Laptop GPU vs GeForce RTX 5080 Laptop GPU: specs and benchmark comparison

ANVIDIA · Ada Lovelace

NVIDIA GeForce RTX 4090 Laptop GPU

  • 16 GB GDDR6
  • 80–150 W

February 8, 2023

BNVIDIA · Blackwell

NVIDIA GeForce RTX 5080 Laptop GPU

  • 16 GB GDDR7
  • 80–150 W

Short verdict

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

Compare with AI
← GeForce RTX 4090 Laptop GPUGeForce RTX 5080 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 4090 Laptop GPU is better1

  • Blender Benchmark 4.5.0 5.9% faster6,942 samples/min vs 6,558 samples/min

Where GeForce RTX 5080 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 5.9%

    Position among tested models (67, OptiX)

    B · 6,558A · 6,942
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 4090 Laptop GPU is ahead by 5.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 4090 Laptop GPU

    6,941.6 samples/min · community measurement, sample 66 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 66 submissions (4 outliers excluded), interquartile range 6013.01–7242.26; submissions 2025-07-17 to 2026-03-07; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 5080 Laptop GPU

    6,558 samples/min · community measurement, sample 240 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 240 submissions (10 outliers excluded), interquartile range 5875.4–6990.32; submissions 2025-07-17 to 2026-08-21; 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 (2)
BenchmarkABDifference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,821.17,500.3B +10%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,990.66,829.7A +2.4%

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

Reference results (14)
BenchmarkABDifference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)4,395.4—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,873.76,837.3reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)7,007.86,550.3reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,247.5—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)7,016.9—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,099.1—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,137.4—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,242.87,755.2reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,981.7—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)7,287—no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,609.2—no pair
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,411.76,363.1reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)7,268.36,723.1reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,896.68,783.9reference

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

    AAda Lovelace

    BBlackwell

    differs
  • Shader units

    A9,728 (CUDA cores)

    B7,680 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Boost clock

    A1,455–2,040 MHz

    B1,500–2,287 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

    B16 GB

    equal
  • Memory type

    AGDDR6

    BGDDR7

    differs
  • Memory bus

    A256 bit

    B256 bit

    equal

Power and dimensions

  • Board power

    A80–150 W (graphics subsystem power)

    B80–150 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.

  • Interface

    APCIe 4.0

    BPCIe 5.0

    differs

“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 4090 Laptop GPU and NVIDIA GeForce RTX 5080 Laptop GPU have?

NVIDIA GeForce RTX 4090 Laptop GPU: 16 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 5080 Laptop GPU: 16 GB GDDR7, 256-bit bus.

Which PCIe interface do the cards use?

NVIDIA GeForce RTX 4090 Laptop GPU: PCIe 4.0. NVIDIA GeForce RTX 5080 Laptop GPU: PCIe 5.0.

Which is faster: NVIDIA GeForce RTX 4090 Laptop GPU or NVIDIA GeForce RTX 5080 Laptop GPU?

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

Data sources (3)
  • NVIDIA — specifications of NVIDIA GeForce RTX 4090 Laptop GPU, specifications of NVIDIA GeForce RTX 5080 Laptop GPUchecked November 7, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, 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 4.3.0, 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.

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