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GeForce RTX 3080 vs GeForce RTX 3090: 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 3090

  • 24 GB GDDR6X
  • 350 W
  • PSU 750 W+

September 24, 2020 · $1,499 at launch

Short verdict

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

Compare with AI
← GeForce RTX 3080GeForce RTX 3090 →
  • 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 3080 is better1

  • Board power 30 W lower320 W (board power) vs 350 W (board power)

Where GeForce RTX 3090 is better16

  • Blender Benchmark 2.93.1 17.3% lower17 s vs 20 s

  • Blender Benchmark 2.93.1 22% lower9 s vs 11 s

  • Blender Benchmark 2.93.1 18% lower80 s vs 94 s

  • Blender Benchmark 2.93.1 19.3% lower33 s vs 40 s

  • Blender Benchmark 2.93.1 16.7% lower34 s vs 40 s

  • Blender Benchmark 2.93.1 20.7% lower18 s vs 22 s

  • Blender Benchmark 2.93.1 18.3% lower55 s vs 65 s

  • Blender Benchmark 2.93.1 19.5% lower38 s vs 45 s

  • Blender Benchmark 2.93.1 19.8% lower99 s vs 119 s

  • Blender Benchmark 2.93.1 20.2% lower45 s vs 54 s

  • Blender Benchmark 2.93.1 19.5% lower139 s vs 166 s

  • Blender Benchmark 2.93.1 18.7% lower60 s vs 72 s

  • Blender Benchmark 4.5.0 19.8% faster5,424 samples/min vs 4,527 samples/min

  • Shader units 1,792 more10,496 (CUDA cores) vs 8,704 (CUDA cores)

  • Video memory 14 GB more24 GB vs 10 GB

  • Memory bus 64 bit more384 bit vs 320 bit

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

    B ahead by 17.3%

    Position among tested models (31, CUDA)

    B · 17A · 20
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 17.3% 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 3090

    16.9 s · community measurement, sample 279 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 279 submissions (58 outliers excluded), interquartile range 16.76–17.19; submissions 2021-07-09 to 2022-03-01; 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 22%

    Position among tested models (20, OptiX)

    B · 9A · 11
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 22% 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 3090

    9.3 s · community measurement, sample 244 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 244 submissions (56 outliers excluded), interquartile range 9.17–9.43; submissions 2021-07-10 to 2022-02-28; 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 18%

    Position among tested models (26, CUDA)

    B · 80A · 94
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 18% 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 3090

    79.5 s · community measurement, sample 260 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 260 submissions (43 outliers excluded), interquartile range 78.58–81; submissions 2021-07-09 to 2022-03-01; 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 19.3%

    Position among tested models (14, OptiX)

    B · 33A · 40
    050100150200
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 19.3% 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 3090

    33.5 s · community measurement, sample 182 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 182 submissions (15 outliers excluded), interquartile range 32.84–34.67; submissions 2021-07-10 to 2022-02-28; 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 16.7%

    Position among tested models (21, CUDA)

    B · 34A · 40
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 16.7% 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 3090

    34.4 s · community measurement, sample 213 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 213 submissions (51 outliers excluded), interquartile range 34.13–34.9; submissions 2021-07-09 to 2022-03-01; 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

    B ahead by 20.7%

    Position among tested models (13, OptiX)

    B · 18A · 22
    020406080
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 20.7% 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 3090

    17.9 s · community measurement, sample 141 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 141 submissions (40 outliers excluded), interquartile range 17.77–18.14; submissions 2021-07-10 to 2022-02-28; 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

    B ahead by 18.3%

    Position among tested models (20, CUDA)

    B · 55A · 65
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 18.3% 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 3090

    54.6 s · community measurement, sample 216 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 216 submissions (47 outliers excluded), interquartile range 54.03–55.35; submissions 2021-07-09 to 2022-03-01; 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

    B ahead by 19.5%

    Position among tested models (13, OptiX)

    B · 38A · 45
    050100150200
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 19.5% 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 3090

    37.9 s · community measurement, sample 143 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 143 submissions (36 outliers excluded), interquartile range 37.49–38.45; submissions 2021-07-10 to 2022-02-28; 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 19.8%

    Position among tested models (21, CUDA)

    B · 99A · 119
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 19.8% 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 3090

    99.3 s · community measurement, sample 215 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 215 submissions (50 outliers excluded), interquartile range 98.46–100.87; submissions 2021-07-09 to 2022-03-01; 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 20.2%

    Position among tested models (13, OptiX)

    B · 45A · 54
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 20.2% 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 3090

    45.1 s · community measurement, sample 145 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 145 submissions (26 outliers excluded), interquartile range 44.57–45.81; submissions 2021-07-10 to 2022-02-28; 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 19.5%

    Position among tested models (19, CUDA)

    B · 139A · 166
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 19.5% 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 3090

    138.7 s · community measurement, sample 217 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 217 submissions (43 outliers excluded), interquartile range 137.5–140.78; submissions 2021-07-09 to 2022-03-01; 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 18.7%

    Position among tested models (13, OptiX)

    B · 60A · 72
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3090 is ahead by 18.7% 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 3090

    60.4 s · community measurement, sample 144 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 144 submissions (24 outliers excluded), interquartile range 59.46–61.01; submissions 2021-07-10 to 2022-02-28; 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

    B ahead by 19.8%

    Position among tested models (67, OptiX)

    A · 4,527B · 5,424
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 3090 is ahead by 19.8% 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 3090

    5,423.6 samples/min · community measurement, sample 596 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 596 submissions (34 outliers excluded), interquartile range 5240.15–5558.47; submissions 2025-07-17 to 2026-10-19; 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 (52)
BenchmarkABDifference
Blender Benchmark 2.90GPU, bmw27 (CUDA)25.521.5B +18.4%
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)21.718.5B +17.2%
Blender Benchmark 2.92GPU, bmw27 (CUDA)21.818.5B +17.6%
Blender Benchmark 2.90GPU, bmw27 (OPTIX)10.78.9B +20.1%
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)119.2B +19.8%
Blender Benchmark 2.92GPU, bmw27 (OPTIX)10.79.1B +18.2%
Blender Benchmark 2.90GPU, classroom (CUDA)78.170.6B +10.6%
Blender Benchmark 2.91.2GPU, classroom (CUDA)68.658.8B +16.7%
Blender Benchmark 2.92GPU, classroom (CUDA)65.355.5B +17.7%
Blender Benchmark 2.90GPU, classroom (OPTIX)41.435.2B +17.5%
Blender Benchmark 2.91.2GPU, classroom (OPTIX)42.537.1B +14.6%
Blender Benchmark 2.92GPU, classroom (OPTIX)39.534.4B +14.9%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)45.839B +17.2%
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)39.533.9B +16.3%
Blender Benchmark 2.92GPU, fishy_cat (CUDA)40.834.8B +17.4%
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)19.816.5B +20.1%
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)19.716.7B +18.1%
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)21.418.4B +16.8%
Blender Benchmark 2.90GPU, koro (CUDA)68.458B +18%
Blender Benchmark 2.91.2GPU, koro (CUDA)68.457.5B +19.1%
Blender Benchmark 2.92GPU, koro (CUDA)68.958B +18.7%
Blender Benchmark 2.90GPU, koro (OPTIX)42.736.5B +16.9%
Blender Benchmark 2.91.2GPU, koro (OPTIX)42.136.3B +15.9%
Blender Benchmark 2.92GPU, koro (OPTIX)45.857.1A +24.6%
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)145.3119.6B +21.5%
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)129.7108.5B +19.5%
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)130109.3B +19%
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)53.645.4B +18.1%
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)54.546.9B +16.2%
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)5345.1B +17.6%
Blender Benchmark 2.90GPU, victor (CUDA)191.6159.1B +20.4%
Blender Benchmark 2.91.2GPU, victor (CUDA)150.7124.3B +21.3%
Blender Benchmark 2.92GPU, victor (CUDA)207.5178.3B +16.4%
Blender Benchmark 2.90GPU, victor (OPTIX)60.752.8B +15%
Blender Benchmark 2.91.2GPU, victor (OPTIX)62.753.9B +16.3%
Blender Benchmark 2.92GPU, victor (OPTIX)70.962.5B +13.3%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,450.15,354.8B +20.3%
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,379.95,253.3B +19.9%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,197.45,093.8B +21.4%
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,065.15,841.8B +15.3%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,893.16,560.4B +34.1%
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,851.86,566.2B +35.3%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,870.75,625.7B +15.5%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,025.16,018.2B +19.8%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,001.56,014.6B +20.3%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,251.56,296.9B +19.9%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,201.56,305.5B +21.2%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,564.45,536.1B +21.3%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,614.75,536.4B +20%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,511.65,347.6B +18.5%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,478.65,333B +19.1%
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,330.85,266.1B +21.6%

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

Reference results (28)
BenchmarkABDifference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)25.420.5reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)96.667.4reference
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)46.437.3reference
Blender Benchmark 2.90.1GPU, koro (CUDA)68.457.5reference
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)139.1108.8reference
Blender Benchmark 2.90.1GPU, victor (CUDA)195148.7reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,981.33,418.3reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,845.23,138.2reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,902.83,729.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,291.33,864reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)3,193.94,060.8reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)2,989.83,724.8reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)5,100.45,826.5reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,105.54,875.8reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4,546.65,143.8reference
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)—8.9no pair
Blender Benchmark 2.90.1GPU, classroom (OPTIX)—38.9no pair
Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX)—16.8no pair
Blender Benchmark 2.90.1GPU, koro (OPTIX)—37.1no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX)—46.6no pair
Blender Benchmark 2.90.1GPU, victor (OPTIX)—57.7no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—3,696.5no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—3,448.2no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—3,797.9no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—3,735.6no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—3,699.3no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—3,730.8no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—3,798no pair

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

Specifications

Chip

  • Architecture

    AAmpere

    BAmpere

    equal
  • Shader units

    A8,704 (CUDA cores)

    B10,496 (CUDA cores)

    B: 1,792 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,440 MHz

    B1,400 MHz

    A: 40 MHz more
  • Boost clock

    A1,710 MHz

    B1,700 MHz

    A: 10 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

    A10 GB

    B24 GB

    B: 14 GB more
  • Memory type

    AGDDR6X

    BGDDR6X

    equal
  • Memory bus

    A320 bit

    B384 bit

    B: 64 bit more

Power and dimensions

  • Board power

    A320 W (board power)

    B350 W (board power)

    B: 30 W higher

    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

    B750 W

    equal
  • Interface

    APCIe 4.0

    Bno data

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

    A285 mm

    B313 mm

    B: 28 mm higher

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    B3

    B: 1 higher
  • Power connectors (reference)

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

    B2x 8-pin (adapter to 1x 12-pin included) — FE

    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 3080 and NVIDIA GeForce RTX 3090 have?

NVIDIA GeForce RTX 3080: 10 GB GDDR6X, 320-bit bus. NVIDIA GeForce RTX 3090: 24 GB GDDR6X, 384-bit bus.

What power supply does the manufacturer recommend?

For NVIDIA GeForce RTX 3080, 750 W or more; for NVIDIA GeForce RTX 3090, 750 W or more. This is a recommendation for a typical system; also check the power connectors of the specific card model.

Which is faster: NVIDIA GeForce RTX 3080 or NVIDIA GeForce RTX 3090?

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

Data sources (3)
  • NVIDIA — specifications of NVIDIA GeForce RTX 3080, specifications of NVIDIA GeForce RTX 3090checked 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 3.2.0, 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 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.2, 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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