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GeForce RTX 3060 Laptop GPU vs GeForce RTX 3070 Ti Laptop GPU: specs and benchmark comparison

ANVIDIA · Ampere

NVIDIA GeForce RTX 3060 Laptop GPU

  • 6 GB GDDR6

January 12, 2021

BNVIDIA · Ampere

NVIDIA GeForce RTX 3070 Ti Laptop GPU

  • 8 GB GDDR6

January 4, 2022

Short verdict

NVIDIA GeForce RTX 3070 Ti Laptop GPU 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 3060 Laptop GPUGeForce RTX 3070 Ti Laptop GPU →
  • Rendering and compute

    B +40%

    NVIDIA GeForce RTX 3070 Ti Laptop GPU leads in this scenario (up to 40% 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 3060 Laptop GPU is better0

No advantages found in our data.

Where GeForce RTX 3070 Ti Laptop GPU is better4

  • Blender Benchmark 4.5.0 32.7% faster2,874 samples/min vs 2,166 samples/min

  • Shader units 2,048 more5,888 (CUDA cores) vs 3,840 (CUDA cores)

  • Video memory 2 GB more8 GB vs 6 GB

  • Memory bus 64 bit more256 bit vs 192 bit

Benchmarks

Results are compared within one benchmark, one version and the same conditions. Laptop chip results depend on the laptop model: its maker sets the power limit and cooling.

  • Blender Benchmark 4.5.0

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

    B ahead by 32.7%

    Position among tested models (67, OptiX)

    A · 2,166B · 2,874
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 3070 Ti Laptop GPU is ahead by 32.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 3060 Laptop GPU

    2,166.2 samples/min · community measurement, sample 161 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 161 submissions (14 outliers excluded), interquartile range 1984.24–2305.62; submissions 2025-07-17 to 2026-08-27; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 3070 Ti Laptop GPU

    2,873.9 samples/min · community measurement, sample 87 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 87 submissions (3 outliers excluded), interquartile range 2530.66–3131.61; submissions 2025-07-18 to 2026-06-09; 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.

Other comparable benchmarks (11)
BenchmarkABDifference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,182.22,849B +30.6%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,437.43,231.6B +32.6%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,444.13,121.6B +27.7%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,481.23,474.7B +40%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,5273,367.3B +33.3%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,687.53,314.9B +23.3%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,665.63,307.3B +24.1%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,302.62,946.3B +28%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,303.42,941.2B +27.7%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,264.12,682.5B +18.5%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,197.22,711B +23.4%

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

Reference results (69)
BenchmarkABDifference
Blender Benchmark 2.90GPU, bmw27 (CUDA)76—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)48.9—no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)47.3—no pair
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)40.831.6reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)22.5—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)25.4—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)23.4—no pair
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)23.218.5reference
Blender Benchmark 2.90GPU, classroom (CUDA)255.8—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)165.5—no pair
Blender Benchmark 2.92GPU, classroom (CUDA)150.1—no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)208.3139.5reference
Blender Benchmark 2.90GPU, classroom (OPTIX)100.6—no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)97—no pair
Blender Benchmark 2.92GPU, classroom (OPTIX)92.7—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)87.862.7reference
Blender Benchmark 2.90GPU, fishy_cat (CUDA)131.7—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)86.5—no pair
Blender Benchmark 2.92GPU, fishy_cat (CUDA)86—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)82.267.5reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)49.6—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)50.5—no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)54.1—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)50.237.9reference
Blender Benchmark 2.90GPU, koro (CUDA)144.4—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)166.2—no pair
Blender Benchmark 2.92GPU, koro (CUDA)163.1—no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)152111.7reference
Blender Benchmark 2.90GPU, koro (OPTIX)107.8—no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)108.9—no pair
Blender Benchmark 2.92GPU, koro (OPTIX)169.7—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)106.380.8reference
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)254.5—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)313.7—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)309.8—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)269.9188.7reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)128.2—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)128.9—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)118.9—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)115.686.6reference
Blender Benchmark 2.90GPU, victor (CUDA)330.6—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)363.3—no pair
Blender Benchmark 2.92GPU, victor (CUDA)450—no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)381.3273reference
Blender Benchmark 2.90GPU, victor (OPTIX)151—no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)154.3—no pair
Blender Benchmark 2.92GPU, victor (OPTIX)179.4—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)165.1120.9reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)1,425.4—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,295.7—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,311.2—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)1,216.5—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,399.7—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)880.2—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,473.2—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,514.9—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,432.6—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,291.21,780reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,340.92,076.2reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (CUDA)1,507.4—no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,101.6—no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,127.42,532.9reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,971.62,652.3reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,458.83,495.7reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,238.72,857.6reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,4733,294.5reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,051.42,633.1reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,047.52,748.3reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,339.63,346.3reference

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

Specifications

Chip maker values. The laptop maker sets the power limit and clocks in each laptop.

Chip

  • Architecture

    AAmpere

    BAmpere

    equal
  • Shader units

    A3,840 (CUDA cores)

    B5,888 (CUDA cores)

    B: 2,048 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Boost clock

    A1,283–1,703 MHz

    B1,035–1,485 MHz

    not directly comparable

    Clocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit.

Memory

  • Video memory

    A6 GB

    B8 GB

    B: 2 GB more
  • Memory type

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A192 bit

    B256 bit

    B: 64 bit more

“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 3060 Laptop GPU and NVIDIA GeForce RTX 3070 Ti Laptop GPU have?

NVIDIA GeForce RTX 3060 Laptop GPU: 6 GB GDDR6, 192-bit bus. NVIDIA GeForce RTX 3070 Ti Laptop GPU: 8 GB GDDR6, 256-bit bus.

Which is faster: NVIDIA GeForce RTX 3060 Laptop GPU or NVIDIA GeForce RTX 3070 Ti Laptop GPU?

NVIDIA GeForce RTX 3070 Ti Laptop GPU 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 3060 Laptop GPU, specifications of NVIDIA GeForce RTX 3070 Ti Laptop GPUchecked November 7, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.90, 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 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, 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
  • Wikipedia (English) — release date and launch pricechecked November 14, 2026

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

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