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GeForce RTX 4080 vs GeForce RTX 5090 D V2: specs and benchmark comparison

ANVIDIA · Ada Lovelace

NVIDIA GeForce RTX 4080

  • 16 GB GDDR6X
  • 320 W
  • PSU 750 W+

November 16, 2022 · $1,199 at launch

BNVIDIA · Blackwell

NVIDIA GeForce RTX 5090 D V2

  • 24 GB GDDR7
  • 575 W

August 15, 2025

Short verdict

NVIDIA GeForce RTX 5090 D V2 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 4080GeForce RTX 5090 D V2 →
  • Rendering and compute

    B +53%

    NVIDIA GeForce RTX 5090 D V2 leads in this scenario (up to 53% 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 is better0

No advantages found in our data.

Where GeForce RTX 5090 D V2 is better3

  • Blender Benchmark 4.5.0 53% faster12,863 samples/min vs 8,409 samples/min

  • Video memory 8 GB more24 GB vs 16 GB

  • Memory bus 128 bit more384 bit vs 256 bit

Benchmarks

Results are compared within one benchmark, one version and the same conditions.

  • Blender Benchmark 4.5.0

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

    B ahead by 53%

    Position among tested models (67, OptiX)

    A · 8,409B · 12,863
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 5090 D V2 is ahead by 53% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 4080

    8,409.3 samples/min · community measurement, sample 199 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 199 submissions (20 outliers excluded), interquartile range 8230.5–8528.15; submissions 2025-07-18 to 2026-08-19; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 5090 D V2

    12,863.3 samples/min · community measurement, sample 25 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 25 submissions (2 outliers excluded), interquartile range 12764.6–12958.8; submissions 2025-08-13 to 2026-03-09; 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.

Reference results (18)
BenchmarkABDifference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)6,156.7—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)5,359.2—no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)5,208.7—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,287—no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,486.515,643.9reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,284.814,608.9reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,005.5—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)9,238.6—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)9,347.7—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)9,732.9—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)9,661.313,682.6reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,618.1—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,621.9—no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,293—no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,456.2—no pair
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)7,946.5—no pair
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8,492.314,898reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)10,165.2—no pair

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

Specifications

Chip

  • GPU chip

    Ano data

    BGB202-240-K1-A1

    no data for A
  • Architecture

    AAda Lovelace

    BBlackwell

    differs
  • Shader units

    A9,728 (CUDA cores)

    B21,760 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A2,210 MHz

    B2,017 MHz

    A: 193 MHz more
  • Boost clock

    A2,510 MHz

    B2,407 MHz

    A: 103 MHz more

    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

    B24 GB

    B: 8 GB more
  • Memory type

    AGDDR6X

    BGDDR7

    differs
  • Memory bus

    A256 bit

    B384 bit

    B: 128 bit more
  • Memory bandwidth

    Ano data

    B1,344 GB/s

    no data for A

    Excludes cache (Infinity Cache / L2), which affects effective bandwidth differently.

Power and dimensions

  • Board power

    A320 W (TGP)

    B575 W (TDP)

    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 5.0 x16

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

    A304 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)

    A3x 8-pin (adapter) or 450+ W PCIe Gen 5 — 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 4080 and NVIDIA GeForce RTX 5090 D V2 have?

NVIDIA GeForce RTX 4080: 16 GB GDDR6X, 256-bit bus. NVIDIA GeForce RTX 5090 D V2: 24 GB GDDR7, 384-bit bus.

Which is faster: NVIDIA GeForce RTX 4080 or NVIDIA GeForce RTX 5090 D V2?

NVIDIA GeForce RTX 5090 D V2 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 4080checked November 7, 2026
  • Wikipedia (English) — specifications of NVIDIA GeForce RTX 5090 D V2, release date and launch pricechecked November 14, 2026
  • Blender Open Data (Blender Foundation) — 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 3.2.1, benchmark Blender Benchmark 3.3.0, 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

How we compare: methodology. Where the data comes from: sources.

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