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GeForce RTX 3080 Ti vs GeForce RTX 4070 SUPER: specs and benchmark comparison

ANVIDIA · Ampere

NVIDIA GeForce RTX 3080 Ti

  • 12 GB GDDR6X
  • 350 W
  • PSU 750 W+

June 3, 2021 · $1,199 at launch

BNVIDIA · Ada Lovelace

NVIDIA GeForce RTX 4070 SUPER

  • 12 GB GDDR6X
  • 220 W
  • PSU 650 W+

January 17, 2024 · $599 at launch

Short verdict

NVIDIA GeForce RTX 4070 SUPER 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 3080 TiGeForce RTX 4070 SUPER →
  • Rendering and compute

    B +22.4%

    NVIDIA GeForce RTX 4070 SUPER leads in this scenario (up to 22.4% 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 3080 Ti is better1

  • Memory bus 192 bit more384 bit vs 192 bit

Where GeForce RTX 4070 SUPER is better2

  • Blender Benchmark 4.5.0 17.3% faster6,268 samples/min vs 5,344 samples/min

  • Launch price $600 lower$599 vs $1,199

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 17.3%

    Position among tested models (67, OptiX)

    A · 5,344B · 6,268
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 4070 SUPER is ahead by 17.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 3080 Ti

    5,343.7 samples/min · community measurement, sample 193 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 193 submissions (16 outliers excluded), interquartile range 5163.7–5447.58; submissions 2025-07-20 to 2026-11-12; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 4070 SUPER

    6,267.9 samples/min · community measurement, sample 448 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 448 submissions (21 outliers excluded), interquartile range 6009.46–6439.99; submissions 2025-07-17 to 2026-11-11; 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 (9)
BenchmarkABDifference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,223.76,067.5B +16.2%
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,075.26,209.5B +22.4%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,963.65,970.4B +20.3%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,095.36,923.4B +13.6%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,440.26,370.1B +17.1%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,521.36,352.9B +15.1%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,327.66,078.3B +14.1%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,2766,169.7B +16.9%
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,111.46,113.7B +19.6%

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

Reference results (51)
BenchmarkABDifference
Blender Benchmark 2.90GPU, bmw27 (CUDA)20.3—no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)19—no pair
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)17.1—no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)9—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)9—no pair
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)9.6—no pair
Blender Benchmark 2.90GPU, classroom (CUDA)70.8—no pair
Blender Benchmark 2.92GPU, classroom (CUDA)56.9—no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)80.1—no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)33.6—no pair
Blender Benchmark 2.92GPU, classroom (OPTIX)35.4—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)34—no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)37.6—no pair
Blender Benchmark 2.92GPU, fishy_cat (CUDA)35.5—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)34.9—no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)17—no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)18.1—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)18.4—no pair
Blender Benchmark 2.90GPU, koro (CUDA)59.4—no pair
Blender Benchmark 2.92GPU, koro (CUDA)59.7—no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)55.8—no pair
Blender Benchmark 2.90GPU, koro (OPTIX)37.6—no pair
Blender Benchmark 2.92GPU, koro (OPTIX)40—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)39—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)107.6—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)112.8—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)100.9—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)44.5—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)44.9—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)45.9—no pair
Blender Benchmark 2.90GPU, victor (CUDA)142.9—no pair
Blender Benchmark 2.92GPU, victor (CUDA)183.6—no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)140.6—no pair
Blender Benchmark 2.90GPU, victor (OPTIX)51.3—no pair
Blender Benchmark 2.92GPU, victor (OPTIX)60.6—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)61.5—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,559.33,969.7reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,676.83,989.7reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,942.2—no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,721.8—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,557.8—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,512.7—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,532.46,140.3reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,9686,920.2reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,912.46,990.3reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6,205.26,903.7reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,6125,931.9reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,626.77,092.6reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—4,070.7no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—4,090.2no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—4,088no pair

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

Specifications

Chip

  • Architecture

    AAmpere

    BAda Lovelace

    differs
  • Shader units

    A10,240 (CUDA cores)

    B7,168 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,370 MHz

    B1,980 MHz

    B: 610 MHz more
  • Boost clock

    A1,670 MHz

    B2,480 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

    A12 GB

    B12 GB

    equal
  • Memory type

    AGDDR6X

    BGDDR6X

    equal
  • Memory bus

    A384 bit

    B192 bit

    A: 192 bit more

Power and dimensions

  • Board power

    A350 W (board power)

    B220 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 4.0

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

    A285 mm

    B244 mm

    A: 41 mm higher

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    B2

    equal
  • 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 3080 Ti and NVIDIA GeForce RTX 4070 SUPER have?

NVIDIA GeForce RTX 3080 Ti: 12 GB GDDR6X, 384-bit bus. NVIDIA GeForce RTX 4070 SUPER: 12 GB GDDR6X, 192-bit bus.

What power supply does the manufacturer recommend?

For NVIDIA GeForce RTX 3080 Ti, 750 W or more; for NVIDIA GeForce RTX 4070 SUPER, 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 3080 Ti or NVIDIA GeForce RTX 4070 SUPER?

NVIDIA GeForce RTX 4070 SUPER 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 3080 Ti, specifications of NVIDIA GeForce RTX 4070 SUPERchecked November 7, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 5.1.1, 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 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.2.0checked 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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