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GeForce RTX 2080 Ti vs GeForce RTX 3080 Laptop GPU: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce RTX 2080 Ti

  • 11 GB GDDR6
  • 250 W

September 20, 2018 · $999 at launch

BNVIDIA · Ampere

NVIDIA GeForce RTX 3080 Laptop GPU

    January 12, 2021

    Short verdict

    It depends on the task: rendering and compute: results disagree.

    Compare with AI
    ← GeForce RTX 2080 TiGeForce RTX 3080 Laptop GPU →
    • Rendering and compute

      depends on the task

      Benchmark results disagree, so the choice depends on the specific task.

    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 2080 Ti is better2

    • Blender Benchmark 2.93.1 13.1% lower63 s vs 72 s

    • Memory bus 96 bit more352 bit vs 256 bit

    Where GeForce RTX 3080 Laptop GPU is better9

    • Blender Benchmark 2.93.1 22% lower28 s vs 34 s

    • Blender Benchmark 2.93.1 36.3% lower16 s vs 22 s

    • Blender Benchmark 2.93.1 7.4% lower128 s vs 137 s

    • Blender Benchmark 2.93.1 54.7% lower56 s vs 86 s

    • Blender Benchmark 2.93.1 5.7% lower61 s vs 65 s

    • Blender Benchmark 2.93.1 21% lower172 s vs 208 s

    • Blender Benchmark 2.93.1 40.4% lower75 s vs 105 s

    • Blender Benchmark 2.93.1 15.3% lower245 s vs 282 s

    • Blender Benchmark 2.93.1 29.8% lower106 s vs 138 s

    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

      B ahead by 22%

      Position among tested models (31, CUDA)

      B · 28A · 34
      0100200300
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 22% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      33.9 s · community measurement, sample 53 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 53 submissions (8 outliers excluded), interquartile range 33.42–34.68; submissions 2021-07-15 to 2022-02-20; 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

      B ahead by 36.3%

      Position among tested models (20, OptiX)

      B · 16A · 22
      050100150
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 36.3% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      22.1 s · community measurement, sample 39 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 39 submissions (1 outliers excluded), interquartile range 20.82–22.62; submissions 2021-07-18 to 2022-02-25; 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

      B ahead by 7.4%

      Position among tested models (26, CUDA)

      B · 128A · 137
      0200400600800
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 7.4% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      137.4 s · community measurement, sample 45 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 45 submissions (5 outliers excluded), interquartile range 133.31–141.35; submissions 2021-07-17 to 2022-02-20; 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

      B ahead by 54.7%

      Position among tested models (14, OptiX)

      B · 56A · 86
      050100150200
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 54.7% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      86.2 s · community measurement, sample 31 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 31 submissions (3 outliers excluded), interquartile range 83.91–91.02; submissions 2021-07-18 to 2022-02-21; 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

      B ahead by 5.7%

      Position among tested models (21, CUDA)

      B · 61A · 65
      0100200300
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 5.7% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      64.6 s · community measurement, sample 37 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 37 submissions (7 outliers excluded), interquartile range 63.21–66.02; submissions 2021-07-17 to 2022-02-20; 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

      1% difference, within the threshold

      Position among tested models (13, OptiX)

      A · 33B · 34
      020406080
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      The 1% difference is below the noticeable threshold (5%).

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      33.5 s · community measurement, sample 29 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 29 submissions (2 outliers excluded), interquartile range 32.62–35.12; submissions 2021-07-18 to 2022-02-21; 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

      2.3% difference, within the threshold

      Position among tested models (20, CUDA)

      B · 100A · 102
      0200400600
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      The 2.3% difference is below the noticeable threshold (5%).

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      102.5 s · community measurement, sample 36 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 36 submissions (6 outliers excluded), interquartile range 100.68–104.8; submissions 2021-07-17 to 2022-02-20; 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 13.1%

      Position among tested models (13, OptiX)

      A · 63B · 72
      050100150200
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 2080 Ti is ahead by 13.1% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      63.5 s · community measurement, sample 24 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 24 submissions (6 outliers excluded), interquartile range 62.26–67.16; submissions 2021-07-18 to 2022-02-21; 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

      B ahead by 21%

      Position among tested models (21, CUDA)

      B · 172A · 208
      0200400600800
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 21% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      208.1 s · community measurement, sample 40 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 40 submissions (4 outliers excluded), interquartile range 200.44–213.46; submissions 2021-07-17 to 2022-02-20; 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

      B ahead by 40.4%

      Position among tested models (13, OptiX)

      B · 75A · 105
      0100200300
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 40.4% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      105.1 s · community measurement, sample 38 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 38 submissions (2 outliers excluded), interquartile range 102.5–110.4; submissions 2021-07-18 to 2022-02-21; 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

      B ahead by 15.3%

      Position among tested models (19, CUDA)

      B · 245A · 282
      02505007501,000
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 15.3% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      282 s · community measurement, sample 34 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 34 submissions (7 outliers excluded), interquartile range 274.18–287.61; submissions 2021-07-17 to 2022-02-20; 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

      B ahead by 29.8%

      Position among tested models (13, OptiX)

      B · 106A · 138
      0100200300
      Each dot is one model’s median in this benchmark. The scale starts at zero, s.

      NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 29.8% in this benchmark.

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      137.9 s · community measurement, sample 28 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 28 submissions (2 outliers excluded), interquartile range 132.73–144.53; submissions 2021-07-18 to 2022-02-21; 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

      2% difference, within the threshold

      Position among tested models (67, OptiX)

      A · 2,845B · 2,903
      05,00010,00015,000
      Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

      The 2% difference is below the noticeable threshold (5%).

      About the measurement and source
      A · NVIDIA GeForce RTX 2080 Ti

      2,845.2 samples/min · community measurement, sample 131 · November 14, 2026

      Blender Open Data (Blender Foundation)

      Median of 131 submissions (5 outliers excluded), interquartile range 2732.17–2950.36; submissions 2025-07-18 to 2026-03-23; 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)39.129.7B +32%
    Blender Benchmark 2.92GPU, bmw27 (OPTIX)19.816.9B +17.1%
    Blender Benchmark 2.92GPU, classroom (OPTIX)84.260.3B +39.6%
    Blender Benchmark 2.92GPU, fishy_cat (OPTIX)33.137.5A +13.3%
    Blender Benchmark 2.92GPU, koro (OPTIX)98.4120.9A +22.9%
    Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)100.283.2B +20.4%
    Blender Benchmark 2.92GPU, victor (OPTIX)137.1124.7B +9.9%
    Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,799.52,896.3B +3.5%
    Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,835.92,749.2A +3.2%
    Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,084.53,484.9B +13%
    Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,235.53,366.6B +4.1%
    Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,2233,501.2B +8.6%
    Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,218.93,431.4B +6.6%
    Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,362.63,661.2B +8.9%
    Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,343.53,353.3B +0.3%
    Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,872.13,245.3B +13%
    Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,903.23,222.4B +11%
    Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,818.43,039.6B +7.8%
    Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,792.62,914.3B +4.4%

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

    Reference results (97)
    BenchmarkABDifference
    Blender Benchmark 2.81GPU, barbershop_interior (CUDA)521.2—no pair
    Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)514—no pair
    Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)860.1—no pair
    Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)866.3—no pair
    Blender Benchmark 2.81GPU, bmw27 (CUDA)37.5—no pair
    Blender Benchmark 2.81aGPU, bmw27 (CUDA)37.4—no pair
    Blender Benchmark 2.82GPU, bmw27 (CUDA)37.7—no pair
    Blender Benchmark 2.83GPU, bmw27 (CUDA)38.2—no pair
    Blender Benchmark 2.90GPU, bmw27 (CUDA)40.137.6reference
    Blender Benchmark 2.91.2GPU, bmw27 (CUDA)38.828.3reference
    Blender Benchmark 2.81GPU, bmw27 (OPTIX)19.5—no pair
    Blender Benchmark 2.81aGPU, bmw27 (OPTIX)20.4—no pair
    Blender Benchmark 2.82GPU, bmw27 (OPTIX)20.3—no pair
    Blender Benchmark 2.83GPU, bmw27 (OPTIX)19.3—no pair
    Blender Benchmark 2.90GPU, bmw27 (OPTIX)1916.1reference
    Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)19.315.4reference
    Blender Benchmark 2.81GPU, classroom (CUDA)153.5—no pair
    Blender Benchmark 2.81aGPU, classroom (CUDA)153.6—no pair
    Blender Benchmark 2.82GPU, classroom (CUDA)147.3—no pair
    Blender Benchmark 2.83GPU, classroom (CUDA)151.1—no pair
    Blender Benchmark 2.90GPU, classroom (CUDA)151.7153.1reference
    Blender Benchmark 2.91.2GPU, classroom (CUDA)154.7—no pair
    Blender Benchmark 2.92GPU, classroom (CUDA)159.292.6reference
    Blender Benchmark 2.81GPU, classroom (OPTIX)81.1—no pair
    Blender Benchmark 2.81aGPU, classroom (OPTIX)82.6—no pair
    Blender Benchmark 2.82GPU, classroom (OPTIX)81.4—no pair
    Blender Benchmark 2.83GPU, classroom (OPTIX)82.5—no pair
    Blender Benchmark 2.90GPU, classroom (OPTIX)82.161.2reference
    Blender Benchmark 2.91.2GPU, classroom (OPTIX)84.556.4reference
    Blender Benchmark 2.81GPU, fishy_cat (CUDA)66.4—no pair
    Blender Benchmark 2.81aGPU, fishy_cat (CUDA)67.1—no pair
    Blender Benchmark 2.82GPU, fishy_cat (CUDA)68.4—no pair
    Blender Benchmark 2.83GPU, fishy_cat (CUDA)71—no pair
    Blender Benchmark 2.90GPU, fishy_cat (CUDA)72.973.1reference
    Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)67.653.9reference
    Blender Benchmark 2.92GPU, fishy_cat (CUDA)70.960.8reference
    Blender Benchmark 2.81GPU, fishy_cat (OPTIX)30.4—no pair
    Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)31.2—no pair
    Blender Benchmark 2.82GPU, fishy_cat (OPTIX)31.9—no pair
    Blender Benchmark 2.83GPU, fishy_cat (OPTIX)31.4—no pair
    Blender Benchmark 2.90GPU, fishy_cat (OPTIX)30.234.2reference
    Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)30.530.2reference
    Blender Benchmark 2.81GPU, koro (CUDA)112.9—no pair
    Blender Benchmark 2.81aGPU, koro (CUDA)114.5—no pair
    Blender Benchmark 2.82GPU, koro (CUDA)113.4—no pair
    Blender Benchmark 2.83GPU, koro (CUDA)120.2—no pair
    Blender Benchmark 2.90GPU, koro (CUDA)116.5114.2reference
    Blender Benchmark 2.91.2GPU, koro (CUDA)108.6—no pair
    Blender Benchmark 2.92GPU, koro (CUDA)111.1104.3reference
    Blender Benchmark 2.81GPU, koro (OPTIX)56.1—no pair
    Blender Benchmark 2.81aGPU, koro (OPTIX)55.4—no pair
    Blender Benchmark 2.82GPU, koro (OPTIX)53.5—no pair
    Blender Benchmark 2.83GPU, koro (OPTIX)53.1—no pair
    Blender Benchmark 2.90GPU, koro (OPTIX)59.475.4reference
    Blender Benchmark 2.91.2GPU, koro (OPTIX)59.268reference
    Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)234.9—no pair
    Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)236.4—no pair
    Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)234.3—no pair
    Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)236—no pair
    Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)242.3213.1reference
    Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)223.3—no pair
    Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)225.1192.5reference
    Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)99.5—no pair
    Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)101.3—no pair
    Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)101.6—no pair
    Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)99.5—no pair
    Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)9884.1reference
    Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)99.574reference
    Blender Benchmark 2.81GPU, victor (CUDA)288.3—no pair
    Blender Benchmark 2.81aGPU, victor (CUDA)290—no pair
    Blender Benchmark 2.82GPU, victor (CUDA)282.3—no pair
    Blender Benchmark 2.83GPU, victor (CUDA)290.2—no pair
    Blender Benchmark 2.90GPU, victor (CUDA)277.9298.2reference
    Blender Benchmark 2.91.2GPU, victor (CUDA)270.2—no pair
    Blender Benchmark 2.92GPU, victor (CUDA)330290.7reference
    Blender Benchmark 2.81GPU, victor (OPTIX)131.2—no pair
    Blender Benchmark 2.81aGPU, victor (OPTIX)132.5—no pair
    Blender Benchmark 2.82GPU, victor (OPTIX)129.3—no pair
    Blender Benchmark 2.83GPU, victor (OPTIX)128.9—no pair
    Blender Benchmark 2.90GPU, victor (OPTIX)116.698.9reference
    Blender Benchmark 2.91.2GPU, victor (OPTIX)118.186.4reference
    Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,112.42,014.7reference
    Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,233.4557.4reference
    Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,339.9—no pair
    Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,461.2—no pair
    Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,495.42,018.3reference
    Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,225.7—no pair
    Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,330—no pair
    Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,754.32,746.4reference
    Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,373.23,401.4reference
    Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,011.2—no pair
    Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)3,108.33,508.4reference
    Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,627.72,970.5reference
    Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,749.33,234.9reference
    Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—2,050.2no pair
    Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,785no 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

    • GPU chip

      ATU102-300A-K1-A1

      Bno data

      no data for B
    • Architecture

      ATuring

      BAmpere

      differs
    • Shader units

      A4,352 (CUDA cores)

      B6,144 (CUDA cores)

      not directly comparable

      Shader unit counts are comparable only within one architecture.

    Clocks

    • Base clock

      A1,350 MHz

      Bno data

      no data for B
    • Boost clock

      A1,545 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

      A11 GB

      Bno data

      no data for B
    • Memory type

      AGDDR6

      BGDDR6

      equal
    • Memory bus

      A352 bit

      B256 bit

      A: 96 bit more
    • Memory bandwidth

      A616 GB/s

      Bno data

      no data for B

      Excludes cache (Infinity Cache / L2), which affects effective bandwidth differently.

    Power and dimensions

    • Board power

      A250 W (TDP)

      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.

    “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 2080 Ti or NVIDIA GeForce RTX 3080 Laptop GPU?

    It depends on the task: rendering and compute: results disagree.

    Data sources (3)
    • Wikipedia (English) — specifications of NVIDIA GeForce RTX 2080 Ti, release date and launch pricechecked November 14, 2026
    • NVIDIA — specifications of NVIDIA GeForce RTX 3080 Laptop GPUchecked November 7, 2026
    • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81, benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 2.83, 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 3.1.0, 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 4.1.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.2.0, 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 3.2.1, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0checked November 14, 2026

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

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