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

ANVIDIA · Ampere

NVIDIA GeForce RTX 3080

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

September 17, 2020

BNVIDIA · Ampere

NVIDIA GeForce RTX 3080 Laptop GPU

    January 12, 2021

    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 3080 Laptop GPU →
    • Rendering and compute

      A +163.6%

      NVIDIA GeForce RTX 3080 leads in this scenario (up to 163.6% 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 better15

    • Blender Benchmark 2.93.1 40% lower20 s vs 28 s

    • Blender Benchmark 2.93.1 42.8% lower11 s vs 16 s

    • Blender Benchmark 2.93.1 36.4% lower94 s vs 128 s

    • Blender Benchmark 2.93.1 39.6% lower40 s vs 56 s

    • Blender Benchmark 2.93.1 52.2% lower40 s vs 61 s

    • Blender Benchmark 2.93.1 56.1% lower22 s vs 34 s

    • Blender Benchmark 2.93.1 55.2% lower65 s vs 100 s

    • Blender Benchmark 2.93.1 58.3% lower45 s vs 72 s

    • Blender Benchmark 2.93.1 44.5% lower119 s vs 172 s

    • Blender Benchmark 2.93.1 38% lower54 s vs 75 s

    • Blender Benchmark 2.93.1 47.5% lower166 s vs 245 s

    • Blender Benchmark 2.93.1 48.1% lower72 s vs 106 s

    • Blender Benchmark 4.5.0 55.9% faster4,527 samples/min vs 2,903 samples/min

    • Shader units 2,560 more8,704 (CUDA cores) vs 6,144 (CUDA cores)

    • Memory bus 64 bit more320 bit vs 256 bit

    Where GeForce RTX 3080 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 2.93.1

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

      A ahead by 40%

      Position among tested models (31, CUDA)

      A · 20B · 28
      0100200300
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 40% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      19.9 s · community measurement, sample 293 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 293 submissions (37 outliers excluded), interquartile range 19.64–20.28; submissions 2021-07-09 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      27.8 s · community measurement, sample 73 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 73 submissions (0 outliers excluded), interquartile range 26.49–31.28; submissions 2021-07-29 to 2022-02-17; CUDA backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

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

      A ahead by 42.8%

      Position among tested models (20, OptiX)

      A · 11B · 16
      050100150
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 42.8% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      11.4 s · community measurement, sample 114 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 114 submissions (36 outliers excluded), interquartile range 11.26–11.53; submissions 2021-07-09 to 2022-02-28; OPTIX backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      16.2 s · community measurement, sample 81 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 81 submissions (1 outliers excluded), interquartile range 15.92–18.21; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

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

      A ahead by 36.4%

      Position among tested models (26, CUDA)

      A · 94B · 128
      0200400600800
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 36.4% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      93.8 s · community measurement, sample 241 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 241 submissions (35 outliers excluded), interquartile range 92.51–95.41; submissions 2021-07-09 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      127.9 s · community measurement, sample 69 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 69 submissions (0 outliers excluded), interquartile range 118.87–142.98; submissions 2021-07-29 to 2022-02-17; CUDA backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

      GPU, classroom (OPTIX) · s, lower is better

      A ahead by 39.6%

      Position among tested models (14, OptiX)

      A · 40B · 56
      050100150200
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 39.6% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      39.9 s · community measurement, sample 136 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 136 submissions (6 outliers excluded), interquartile range 39.04–40.87; submissions 2021-07-09 to 2022-02-28; OPTIX backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      55.8 s · community measurement, sample 71 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 71 submissions (3 outliers excluded), interquartile range 53.28–60.77; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

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

      A ahead by 52.2%

      Position among tested models (21, CUDA)

      A · 40B · 61
      0100200300
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 52.2% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      40.2 s · community measurement, sample 210 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 210 submissions (41 outliers excluded), interquartile range 39.77–40.76; submissions 2021-07-09 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      61.2 s · community measurement, sample 57 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 57 submissions (0 outliers excluded), interquartile range 57.69–68.24; submissions 2021-07-29 to 2022-02-17; CUDA backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

      GPU, fishy_cat (OPTIX) · s, lower is better

      A ahead by 56.1%

      Position among tested models (13, OptiX)

      A · 22B · 34
      020406080
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 56.1% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      21.6 s · community measurement, sample 87 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 87 submissions (33 outliers excluded), interquartile range 21.48–21.83; submissions 2021-07-09 to 2022-02-28; OPTIX backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      33.8 s · community measurement, sample 69 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 69 submissions (4 outliers excluded), interquartile range 32.83–36.65; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

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

      A ahead by 55.2%

      Position among tested models (20, CUDA)

      A · 65B · 100
      0200400600
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 55.2% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      64.6 s · community measurement, sample 212 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 212 submissions (34 outliers excluded), interquartile range 63.85–65.6; submissions 2021-07-09 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      100.2 s · community measurement, sample 56 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 56 submissions (0 outliers excluded), interquartile range 93.87–111.03; submissions 2021-07-29 to 2022-02-14; CUDA backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

      GPU, koro (OPTIX) · s, lower is better

      A ahead by 58.3%

      Position among tested models (13, OptiX)

      A · 45B · 72
      050100150200
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 58.3% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      45.3 s · community measurement, sample 103 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 103 submissions (13 outliers excluded), interquartile range 44.05–45.87; submissions 2021-07-09 to 2022-02-28; OPTIX backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      71.8 s · community measurement, sample 64 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 64 submissions (6 outliers excluded), interquartile range 69.49–75.41; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

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

      A ahead by 44.5%

      Position among tested models (21, CUDA)

      A · 119B · 172
      0200400600800
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 44.5% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      119 s · community measurement, sample 211 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 211 submissions (34 outliers excluded), interquartile range 117.52–120.77; submissions 2021-07-09 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      171.9 s · community measurement, sample 56 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 56 submissions (0 outliers excluded), interquartile range 158.37–189.91; submissions 2021-07-29 to 2022-02-18; CUDA backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

      GPU, pavillon_barcelona (OPTIX) · s, lower is better

      A ahead by 38%

      Position among tested models (13, OptiX)

      A · 54B · 75
      0100200300
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 38% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      54.2 s · community measurement, sample 102 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 102 submissions (19 outliers excluded), interquartile range 53.49–54.93; submissions 2021-07-09 to 2022-02-28; OPTIX backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      74.8 s · community measurement, sample 68 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 68 submissions (2 outliers excluded), interquartile range 73.23–83.08; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

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

      A ahead by 47.5%

      Position among tested models (19, CUDA)

      A · 166B · 245
      02505007501,000
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 47.5% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      165.8 s · community measurement, sample 205 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 205 submissions (31 outliers excluded), interquartile range 164.1–168.46; submissions 2021-07-09 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      244.5 s · community measurement, sample 59 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 59 submissions (0 outliers excluded), interquartile range 229.05–270.05; submissions 2021-07-29 to 2022-02-14; CUDA backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 2.93.1

      GPU, victor (OPTIX) · s, lower is better

      A ahead by 48.1%

      Position among tested models (13, OptiX)

      A · 72B · 106
      0100200300
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 is ahead by 48.1% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 3080

      71.7 s · community measurement, sample 109 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 109 submissions (14 outliers excluded), interquartile range 70.08–72.69; submissions 2021-07-09 to 2022-02-28; OPTIX backend. Snapshot 2026-11-14.

      B · NVIDIA GeForce RTX 3080 Laptop GPU

      106.2 s · community measurement, sample 62 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 62 submissions (5 outliers excluded), interquartile range 103.1–112.74; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.

      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.

    • Blender Benchmark 4.5.0

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

      A ahead by 55.9%

      Position among tested models (67, OptiX)

      B · 2,903A · 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 55.9% 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 3080 Laptop GPU

      2,903 samples/min · community measurement, sample 46 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 46 submissions (7 outliers excluded), interquartile range 2826.16–3093.58; submissions 2025-07-19 to 2026-03-10; 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 (19)
    BenchmarkABDifference
    Blender Benchmark 2.92GPU, bmw27 (CUDA)21.829.7A +36.3%
    Blender Benchmark 2.92GPU, bmw27 (OPTIX)10.716.9A +57.2%
    Blender Benchmark 2.92GPU, classroom (OPTIX)39.560.3A +52.6%
    Blender Benchmark 2.92GPU, fishy_cat (OPTIX)21.437.5A +75.1%
    Blender Benchmark 2.92GPU, koro (OPTIX)45.8120.9A +163.6%
    Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)5383.2A +57.1%
    Blender Benchmark 2.92GPU, victor (OPTIX)70.9124.7A +76%
    Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,450.12,896.3A +53.6%
    Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,379.92,749.2A +59.3%
    Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,893.13,484.9A +40.4%
    Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,870.73,366.6A +44.7%
    Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,025.13,501.2A +43.5%
    Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,001.53,431.4A +45.8%
    Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,251.53,661.2A +43.4%
    Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,201.53,353.3A +55.1%
    Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,564.43,245.3A +40.6%
    Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,614.73,222.4A +43.2%
    Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,511.63,039.6A +48.4%
    Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,478.62,914.3A +53.7%

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

    Reference results (50)
    BenchmarkABDifference
    Blender Benchmark 2.90GPU, bmw27 (CUDA)25.537.6reference
    Blender Benchmark 2.90.1GPU, bmw27 (CUDA)25.4—no pair
    Blender Benchmark 2.91.2GPU, bmw27 (CUDA)21.728.3reference
    Blender Benchmark 2.90GPU, bmw27 (OPTIX)10.716.1reference
    Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)1115.4reference
    Blender Benchmark 2.90GPU, classroom (CUDA)78.1153.1reference
    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)65.392.6reference
    Blender Benchmark 2.90GPU, classroom (OPTIX)41.461.2reference
    Blender Benchmark 2.91.2GPU, classroom (OPTIX)42.556.4reference
    Blender Benchmark 2.90GPU, fishy_cat (CUDA)45.873.1reference
    Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)46.4—no pair
    Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)39.553.9reference
    Blender Benchmark 2.92GPU, fishy_cat (CUDA)40.860.8reference
    Blender Benchmark 2.90GPU, fishy_cat (OPTIX)19.834.2reference
    Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)19.730.2reference
    Blender Benchmark 2.90GPU, koro (CUDA)68.4114.2reference
    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)68.9104.3reference
    Blender Benchmark 2.90GPU, koro (OPTIX)42.775.4reference
    Blender Benchmark 2.91.2GPU, koro (OPTIX)42.168reference
    Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)145.3213.1reference
    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)130192.5reference
    Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)53.684.1reference
    Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)54.574reference
    Blender Benchmark 2.90GPU, victor (CUDA)191.6298.2reference
    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)207.5290.7reference
    Blender Benchmark 2.90GPU, victor (OPTIX)60.798.9reference
    Blender Benchmark 2.91.2GPU, victor (OPTIX)62.786.4reference
    Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,981.32,014.7reference
    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)2,902.8557.4reference
    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)3,193.92,018.3reference
    Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,989.81,785reference
    Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,197.42,746.4reference
    Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,065.13,401.4reference
    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)4,851.83,508.4reference
    Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,105.52,970.5reference
    Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,330.83,234.9reference
    Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,546.6—no pair
    Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—2,050.2no pair
    Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,890.6no pair

    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

      A8,704 (CUDA cores)

      B6,144 (CUDA cores)

      A: 2,560 more

      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

      B1,245–1,710 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

      BGDDR6

      differs
    • Memory bus

      A320 bit

      B256 bit

      A: 64 bit more

    Power and dimensions

    • Board power

      A320 W (board power)

      Bno data

      no data for B

      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

      Bno data

      no data for B
    • 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 is faster: NVIDIA GeForce RTX 3080 or NVIDIA GeForce RTX 3080 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 3080 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 3.0.1, benchmark Blender Benchmark 4.3.0, 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 3.2.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 4.1.0, 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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