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GeForce RTX 4080 Laptop GPU vs GeForce RTX 5070: specs and benchmark comparison

ANVIDIA · Ada Lovelace

NVIDIA GeForce RTX 4080 Laptop GPU

  • 12 GB GDDR6
  • 60–150 W

February 8, 2023

BNVIDIA · Blackwell

NVIDIA GeForce RTX 5070

  • 12 GB GDDR7
  • 250 W
  • PSU 650 W+

March 5, 2025 · $549 at launch

Short verdict

NVIDIA GeForce RTX 5070 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 4080 Laptop GPUGeForce RTX 5070 →
  • Rendering and compute

    B +25.6%

    NVIDIA GeForce RTX 5070 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 4080 Laptop GPU is better0

No advantages found in our data.

Where GeForce RTX 5070 is better1

  • Blender Benchmark 4.5.0 13.7% faster6,180 samples/min vs 5,435 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 4.5.0

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

    B ahead by 13.7%

    Position among tested models (67, OptiX)

    A · 5,435B · 6,180
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 5070 is ahead by 13.7% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 5070

    6,179.8 samples/min · community measurement, sample 843 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 843 submissions (71 outliers excluded), interquartile range 6033.97–6296.89; submissions 2025-07-17 to 2026-10-04; 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 (5)
BenchmarkABDifference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,773.15,995.9B +25.6%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,928.25,823.6B +18.2%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,1176,086.9B +19%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,383.86,191.2B +15%
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,329.35,654.4B +6.1%

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

Reference results (11)
BenchmarkABDifference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,994.3—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,341.56,075.8reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,375.8—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,715.5—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,273.3—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,300.4—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,371.26,492.2reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,630.96,701.7reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,242.4—no pair
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,524.55,903.6reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,253.46,452.3reference

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

    A7,424 (CUDA cores)

    B6,144 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    Ano data

    B2,330 MHz

    no data for A
  • Boost clock

    A1,350–2,280 MHz

    B2,510 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

    A12 GB

    B12 GB

    equal
  • Memory type

    AGDDR6

    BGDDR7

    differs
  • Memory bus

    A192 bit

    B192 bit

    equal

Power and dimensions

  • Board power

    A60–150 W (graphics subsystem power)

    B250 W (TGP)

    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

    Ano data

    B650 W

    no data for A
  • Interface

    APCIe 4.0

    BPCIe 5.0

    differs
  • Length (reference / Founders Edition)

    Ano data

    B242 mm

    no data for A

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    Ano data

    B2

    no data for A
  • Power connectors (reference)

    Ano data

    B1x 16-pin (adapter to 2x 8-pin included) — Founders Edition

    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 4080 Laptop GPU and NVIDIA GeForce RTX 5070 have?

NVIDIA GeForce RTX 4080 Laptop GPU: 12 GB GDDR6, 192-bit bus. NVIDIA GeForce RTX 5070: 12 GB GDDR7, 192-bit bus.

Which PCIe interface do the cards use?

NVIDIA GeForce RTX 4080 Laptop GPU: PCIe 4.0. NVIDIA GeForce RTX 5070: PCIe 5.0.

Which is faster: NVIDIA GeForce RTX 4080 Laptop GPU or NVIDIA GeForce RTX 5070?

NVIDIA GeForce RTX 5070 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 4080 Laptop GPU, specifications of NVIDIA GeForce RTX 5070checked November 7, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 3.6.0, 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 4.0.0, 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 5.3.0, 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 4.1.0checked 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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