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

ANVIDIA · Ada Lovelace

NVIDIA GeForce RTX 4090

  • 24 GB GDDR6X
  • 450 W
  • PSU 850 W+

October 12, 2022 · $1,599 at launch

BNVIDIA · Blackwell

NVIDIA GeForce RTX 5080

  • 16 GB GDDR7
  • 360 W
  • PSU 850 W+

January 30, 2025 · $999 at launch

Short verdict

NVIDIA GeForce RTX 4090 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 4090GeForce RTX 5080 →
  • Rendering and compute

    A +26.3%

    NVIDIA GeForce RTX 4090 leads in this scenario (up to 26.3% 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 4090 is better3

  • Blender Benchmark 4.5.0 21.3% faster11,084 samples/min vs 9,136 samples/min

  • Video memory 8 GB more24 GB vs 16 GB

  • Memory bus 128 bit more384 bit vs 256 bit

Where GeForce RTX 5080 is better2

  • Board power 90 W lower360 W (TGP) vs 450 W (TGP)

  • Launch price $600 lower$999 vs $1,599

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

    A ahead by 21.3%

    Position among tested models (67, OptiX)

    B · 9,136A · 11,084
    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 is ahead by 21.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 4090

    11,084.1 samples/min · community measurement, sample 507 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 507 submissions (20 outliers excluded), interquartile range 10646.67–11378.84; submissions 2025-07-17 to 2026-10-15; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 5080

    9,136.2 samples/min · community measurement, sample 1283 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 1283 submissions (149 outliers excluded), interquartile range 8939.24–9287.65; submissions 2025-07-17 to 2026-10-18; 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 (6)
BenchmarkABDifference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)11,695.29,329.2A +25.4%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)11,570.79,162.9A +26.3%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)10,977.59,022.6A +21.7%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)11,1709,162.8A +21.9%
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)10,596.18,708.4A +21.7%
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)11,789.59,432.6A +25%

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

Reference results (18)
BenchmarkABDifference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)8,389.3—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)6,714.7—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)8,851.3—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)7,996.2—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)7,467.2—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)7,836—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)8,048.3—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)10,933.28,870.7reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)9,925.9—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)12,212—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)12,658.4—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)13,184.9—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)13,110.510,583.2reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)11,330.19,070.2reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)11,350.59,004.8reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)14,347.110,095reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—6,112.3no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—4,953.1no pair

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

Specifications

Chip

  • Architecture

    AAda Lovelace

    BBlackwell

    differs
  • Shader units

    A16,384 (CUDA cores)

    B10,752 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A2,230 MHz

    B2,300 MHz

    B: 70 MHz more
  • Boost clock

    A2,520 MHz

    B2,620 MHz

    B: 100 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

    A24 GB

    B16 GB

    A: 8 GB more
  • Memory type

    AGDDR6X

    BGDDR7

    differs
  • Memory bus

    A384 bit

    B256 bit

    A: 128 bit more

Power and dimensions

  • Board power

    A450 W (TGP)

    B360 W (TGP)

    A: 90 W higher

    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

    A850 W

    B850 W

    equal
  • Interface

    APCIe 4.0

    BPCIe 5.0

    differs
  • Length (reference / Founders Edition)

    A304 mm

    B304 mm

    equal

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A3

    B2

    A: 1 higher
  • Power connectors (reference)

    A3x 8-pin (adapter) or 450+ W PCIe Gen 5 — FE

    B1x 16-pin (adapter to 3x 8-pin included) — Founders Edition

    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 and NVIDIA GeForce RTX 5080 have?

NVIDIA GeForce RTX 4090: 24 GB GDDR6X, 384-bit bus. NVIDIA GeForce RTX 5080: 16 GB GDDR7, 256-bit bus.

What power supply does the manufacturer recommend?

For NVIDIA GeForce RTX 4090, 850 W or more; for NVIDIA GeForce RTX 5080, 850 W or more. This is a recommendation for a typical system; also check the power connectors of the specific card model.

Which PCIe interface do the cards use?

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

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

NVIDIA GeForce RTX 4090 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 4090, specifications of NVIDIA GeForce RTX 5080checked November 7, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 5.1.1, 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 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.2.0, 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 3.5.0checked 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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