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GeForce RTX 3090 vs GeForce RTX 5070: 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 · 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 3090GeForce RTX 5070 →
  • Rendering and compute

    B +16.1%

    NVIDIA GeForce RTX 5070 leads in this scenario (up to 16.1% 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 3090 is better2

  • Video memory 12 GB more24 GB vs 12 GB

  • Memory bus 192 bit more384 bit vs 192 bit

Where GeForce RTX 5070 is better2

  • Blender Benchmark 4.5.0 13.9% faster6,180 samples/min vs 5,424 samples/min

  • Launch price $950 lower$549 vs $1,499

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 13.9%

    Position among tested models (67, OptiX)

    A · 5,424B · 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 13.9% in this benchmark.

    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 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 (6)
BenchmarkABDifference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,253.35,995.9B +14.1%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,093.85,823.6B +14.3%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,347.66,086.9B +13.8%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,3336,191.2B +16.1%
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,875.85,654.4B +16%
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,266.15,903.6B +12.1%

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

Reference results (86)
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)4,060.8—no pair
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 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,354.86,075.8reference
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)5,625.7—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,018.2—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,014.6—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,296.9—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,305.56,492.2reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,536.16,701.7reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,536.4—no pair
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,143.86,452.3reference

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

Specifications

Chip

  • Architecture

    AAmpere

    BBlackwell

    differs
  • Shader units

    A10,496 (CUDA cores)

    B6,144 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,400 MHz

    B2,330 MHz

    B: 930 MHz more
  • Boost clock

    A1,700 MHz

    B2,510 MHz

    B: 810 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

    B12 GB

    A: 12 GB more
  • Memory type

    AGDDR6X

    BGDDR7

    differs
  • Memory bus

    A384 bit

    B192 bit

    A: 192 bit more

Power and dimensions

  • Board power

    A350 W (board 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

    A750 W

    B650 W

    A: 100 W higher
  • Interface

    Ano data

    BPCIe 5.0

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

    A313 mm

    B242 mm

    A: 71 mm higher

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A3

    B2

    A: 1 higher
  • Power connectors (reference)

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

    B1x 16-pin (adapter to 2x 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 3090 and NVIDIA GeForce RTX 5070 have?

NVIDIA GeForce RTX 3090: 24 GB GDDR6X, 384-bit bus. NVIDIA GeForce RTX 5070: 12 GB GDDR7, 192-bit bus.

What power supply does the manufacturer recommend?

For NVIDIA GeForce RTX 3090, 750 W or more; for NVIDIA GeForce RTX 5070, 650 W or more. This is a recommendation for a typical system; also check the power connectors of the specific card model.

Which is faster: NVIDIA GeForce RTX 3090 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 3090, specifications of NVIDIA GeForce RTX 5070checked 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 4.4.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0, benchmark Blender Benchmark 3.1.2checked 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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