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GeForce RTX 3070 vs GeForce RTX 4060 Ti 8GB: specs and benchmark comparison

ANVIDIA · Ampere

NVIDIA GeForce RTX 3070

  • 8 GB GDDR6
  • 220 W
  • PSU 650 W+

October 29, 2020 · $499 at launch

BNVIDIA · Ada Lovelace

NVIDIA GeForce RTX 4060 Ti 8GB

  • 8 GB GDDR6
  • 160 W
  • PSU 550 W+

May 24, 2023 · $399 at launch

Short verdict

Not enough data for a performance conclusion: the database has no comparable benchmarks for this pair. Below are the key differences in official specifications.

Compare with AI

Some Blender runs list only the shared GPU name. Open the comparison by shared name.

Advantages

Only measured and rated values: a noticeable benchmark gap and specs where more is better.

Where GeForce RTX 3070 is better1

  • Memory bus 128 bit more256 bit vs 128 bit

Where GeForce RTX 4060 Ti 8GB is better1

  • Launch price $100 lower$399 vs $499

Benchmarks

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

  • Blender Benchmark 2.93.1

    GPU, bmw27 (CUDA) · s, lower is better

    No advantage conclusion: no comparable result for the second model.

    About the measurement and source
    A · NVIDIA GeForce RTX 3070

    26.5 s · community measurement, sample 151 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 151 submissions (37 outliers excluded), interquartile range 26.29–26.91; submissions 2021-07-11 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 4060 Ti 8GB
    no comparable result

    difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.

    Render time of a single Cycles scene without synchronization. Median of submissions after filtering.

Reference results (92)
BenchmarkABDifference
Blender Benchmark 2.90GPU, bmw27 (CUDA)34—no pair
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)31.6—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)28.6—no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)28.9—no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)15.3—no pair
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)16—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)15.7—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)15.5—no pair
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)16.4—no pair
Blender Benchmark 2.90GPU, classroom (CUDA)111.8—no pair
Blender Benchmark 2.90.1GPU, classroom (CUDA)111.3—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)82.9—no pair
Blender Benchmark 2.92GPU, classroom (CUDA)82.2—no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)114.1—no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)52.6—no pair
Blender Benchmark 2.90.1GPU, classroom (OPTIX)54.1—no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)53.6—no pair
Blender Benchmark 2.92GPU, classroom (OPTIX)52.8—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)53.4—no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)61.5—no pair
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)57.7—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)53.7—no pair
Blender Benchmark 2.92GPU, fishy_cat (CUDA)55.3—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)56—no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)29.9—no pair
Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX)30.9—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)29.9—no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)33.4—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)32.6—no pair
Blender Benchmark 2.90GPU, koro (CUDA)95.3—no pair
Blender Benchmark 2.90.1GPU, koro (CUDA)89.1—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)94.3—no pair
Blender Benchmark 2.92GPU, koro (CUDA)95.6—no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)92.7—no pair
Blender Benchmark 2.90GPU, koro (OPTIX)64.1—no pair
Blender Benchmark 2.90.1GPU, koro (OPTIX)66.1—no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)63.6—no pair
Blender Benchmark 2.92GPU, koro (OPTIX)99.6—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)67—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)188.2—no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)169.9—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)167.7—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)168.6—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)154.3—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)72.4—no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX)75.4—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)73.8—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)72.9—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)74.4—no pair
Blender Benchmark 2.90GPU, victor (CUDA)247.8—no pair
Blender Benchmark 2.90.1GPU, victor (CUDA)232.3—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)200.6—no pair
Blender Benchmark 2.92GPU, victor (CUDA)264.4—no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)226.4—no pair
Blender Benchmark 2.90GPU, victor (OPTIX)84.1—no pair
Blender Benchmark 2.90.1GPU, victor (OPTIX)88.3—no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)84.8—no pair
Blender Benchmark 2.92GPU, victor (OPTIX)107.1—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)101.7—no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)2,148.7—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,016.7—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)2,067.7—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,151.9—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,162.3—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,063.9—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,342.2—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,153—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,900.9—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,015.4—no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,055.2—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,793.9—no pair
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,991.9—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,148.8—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,198.3—no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,087.8—no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,988.9—no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,536.1—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,427—no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,376.9—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,363.8—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,406.1—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,542—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,590.7—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,774.5—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,710.9—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,257.7—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,285.4—no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,136—no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,162.6—no pair
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,909.7—no pair
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,166.4—no pair
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,573.3—no pair

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

Specifications

Chip

  • Architecture

    AAmpere

    BAda Lovelace

    differs
  • Shader units

    A5,888 (CUDA cores)

    B4,352 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,500 MHz

    B2,310 MHz

    B: 810 MHz more
  • Boost clock

    A1,730 MHz

    B2,540 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

    A8 GB

    B8 GB

    equal
  • Memory type

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A256 bit

    B128 bit

    A: 128 bit more

Power and dimensions

  • Board power

    A220 W (board power)

    B160 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

    A650 W

    B550 W

    A: 100 W higher
  • Interface

    Ano data

    BPCIe 4.0

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

    A242 mm

    B244 mm

    B: 2 mm higher

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    B2

    equal
  • Power connectors (reference)

    A1x 8-pin (adapter to 1x 12-pin included) — FE

    B1x 16-pin (adapter to 1x 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 3070 and NVIDIA GeForce RTX 4060 Ti 8GB have?

NVIDIA GeForce RTX 3070: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 4060 Ti 8GB: 8 GB GDDR6, 128-bit bus.

What power supply does the manufacturer recommend?

For NVIDIA GeForce RTX 3070, 650 W or more; for NVIDIA GeForce RTX 4060 Ti 8GB, 550 W or more. This is a recommendation for a typical system; also check the power connectors of the specific card model.

Data sources (3)
  • NVIDIA — specifications of NVIDIA GeForce RTX 3070, specifications of NVIDIA GeForce RTX 4060 Ti 8GBchecked 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 3.2.1, 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 5.1.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.3.0checked 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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