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GeForce RTX 3080 vs GeForce RTX 5070 Laptop GPU: specs and benchmark comparison

ANVIDIA · Ampere

NVIDIA GeForce RTX 3080

  • 10 GB GDDR6X
  • 320 W
  • PSU 750 W+

September 17, 2020

BNVIDIA · Blackwell

NVIDIA GeForce RTX 5070 Laptop GPU

  • 50–100 W

Short verdict

NVIDIA GeForce RTX 3080 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 3080GeForce RTX 5070 Laptop GPU →
  • Rendering and compute

    A +12%

    NVIDIA GeForce RTX 3080 leads in this scenario (up to 12% 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 is better2

  • Blender Benchmark 4.5.0 12% faster4,527 samples/min vs 4,043 samples/min

  • Memory bus 192 bit more320 bit vs 128 bit

Where GeForce RTX 5070 Laptop GPU is better0

No advantages found in our data.

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

    A ahead by 12%

    Position among tested models (67, OptiX)

    B · 4,043A · 4,527
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 3080 is ahead by 12% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 3080

    4,526.6 samples/min · community measurement, sample 536 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 536 submissions (43 outliers excluded), interquartile range 4378.6–4702.09; submissions 2025-07-17 to 2026-09-13; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 5070 Laptop GPU

    4,042.7 samples/min · community measurement, sample 215 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 215 submissions (19 outliers excluded), interquartile range 3835.21–4148.07; submissions 2025-07-17 to 2026-10-23; 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 (3)
BenchmarkABDifference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,379.94,042.8A +8.3%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,197.44,008.8A +4.7%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,478.64,018.6A +11.4%

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

Reference results (76)
BenchmarkABDifference
Blender Benchmark 2.90GPU, bmw27 (CUDA)25.5—no pair
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)25.4—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)21.7—no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)21.8—no pair
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)19.9—no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)10.7—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)11—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)10.7—no pair
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)11.4—no pair
Blender Benchmark 2.90GPU, classroom (CUDA)78.1—no pair
Blender Benchmark 2.90.1GPU, classroom (CUDA)96.6—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)68.6—no pair
Blender Benchmark 2.92GPU, classroom (CUDA)65.3—no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)93.8—no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)41.4—no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)42.5—no pair
Blender Benchmark 2.92GPU, classroom (OPTIX)39.5—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)39.9—no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)45.8—no pair
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)46.4—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)39.5—no pair
Blender Benchmark 2.92GPU, fishy_cat (CUDA)40.8—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)40.2—no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)19.8—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)19.7—no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)21.4—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)21.6—no pair
Blender Benchmark 2.90GPU, koro (CUDA)68.4—no pair
Blender Benchmark 2.90.1GPU, koro (CUDA)68.4—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)68.4—no pair
Blender Benchmark 2.92GPU, koro (CUDA)68.9—no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)64.6—no pair
Blender Benchmark 2.90GPU, koro (OPTIX)42.7—no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)42.1—no pair
Blender Benchmark 2.92GPU, koro (OPTIX)45.8—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)45.3—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)145.3—no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)139.1—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)129.7—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)130—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)119—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)53.6—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)54.5—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)53—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)54.2—no pair
Blender Benchmark 2.90GPU, victor (CUDA)191.6—no pair
Blender Benchmark 2.90.1GPU, victor (CUDA)195—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)150.7—no pair
Blender Benchmark 2.92GPU, victor (CUDA)207.5—no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)165.8—no pair
Blender Benchmark 2.90GPU, victor (OPTIX)60.7—no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)62.7—no pair
Blender Benchmark 2.92GPU, victor (OPTIX)70.9—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)71.7—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,981.3—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,845.2—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,902.8—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,291.3—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,193.9—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,989.8—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,450.14,025.9reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,065.1—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,893.1—no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,100.4—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,851.8—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,870.7—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,025.1—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,001.5—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,251.5—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,201.5—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,564.4—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,614.7—no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,511.62,187.7reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,105.53,758.7reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,330.84,203.1reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,546.64,892reference

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

    BBlackwell

    differs
  • Shader units

    A8,704 (CUDA cores)

    B4,608 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,440 MHz

    Bno data

    no data for B
  • Boost clock

    A1,710 MHz

    B1,425–2,347 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

    A10 GB

    Bno data

    no data for B
  • Memory type

    AGDDR6X

    BGDDR7

    differs
  • Memory bus

    A320 bit

    B128 bit

    A: 192 bit more

Power and dimensions

  • Board power

    A320 W (board power)

    B50–100 W (graphics subsystem power)

    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

    Bno data

    no data for B
  • Interface

    APCIe 4.0

    BPCIe 5.0

    differs
  • Length (reference / Founders Edition)

    A285 mm

    Bno data

    no data for B

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    Bno data

    no data for B
  • Power connectors (reference)

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

    Bno data

    no data for B

“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

Which PCIe interface do the cards use?

NVIDIA GeForce RTX 3080: PCIe 4.0. NVIDIA GeForce RTX 5070 Laptop GPU: PCIe 5.0.

Which is faster: NVIDIA GeForce RTX 3080 or NVIDIA GeForce RTX 5070 Laptop GPU?

NVIDIA GeForce RTX 3080 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, specifications of NVIDIA GeForce RTX 5070 Laptop GPUchecked 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 3.1.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.3.0, 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 3.0.1, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.4.0, 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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