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GeForce GTX 1080 vs GeForce RTX 3060: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1080

  • 8 GB GDDR5X
  • 180 W

May 27, 2016

BNVIDIA · Ampere

NVIDIA GeForce RTX 3060

  • 12 GB GDDR6
  • 170 W
  • PSU 550 W+

$329 at launch

Short verdict

NVIDIA GeForce RTX 3060 leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Compare with AI
← GeForce GTX 1080GeForce RTX 3060 →
  • Rendering and compute

    B +308.4%

    NVIDIA GeForce RTX 3060 leads in this scenario (up to 308.4% 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 GTX 1080 is better1

  • Memory bus 64 bit more256 bit vs 192 bit

Where GeForce RTX 3060 is better8

  • Blender Benchmark 2.93.1 84% lower44 s vs 81 s

  • Blender Benchmark 2.93.1 24.8% lower203 s vs 253 s

  • Blender Benchmark 2.93.1 109.1% lower89 s vs 187 s

  • Blender Benchmark 2.93.1 103.4% lower156 s vs 317 s

  • Blender Benchmark 2.93.1 74.4% lower264 s vs 461 s

  • Blender Benchmark 2.93.1 109.3% lower381 s vs 798 s

  • Blender Benchmark 4.5.0 269.3% faster2,160 samples/min vs 585 samples/min

  • Video memory 4 GB more12 GB vs 8 GB

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 84%

    Position among tested models (31, CUDA)

    B · 44A · 81
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 is ahead by 84% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

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

    Blender Open Data (Blender Foundation)

    Median of 62 submissions (13 outliers excluded), interquartile range 79.51–81.58; submissions 2021-07-15 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 3060

    43.7 s · community measurement, sample 137 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 137 submissions (21 outliers excluded), interquartile range 43.32–44.29; submissions 2021-07-09 to 2022-02-26; 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 (CUDA) · s, lower is better

    B ahead by 24.8%

    Position among tested models (26, CUDA)

    B · 203A · 253
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 is ahead by 24.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

    253.5 s · community measurement, sample 46 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 46 submissions (2 outliers excluded), interquartile range 247.41–262.04; submissions 2021-07-15 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 3060

    203.2 s · community measurement, sample 122 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 122 submissions (30 outliers excluded), interquartile range 200.78–205.62; submissions 2021-07-10 to 2022-02-26; 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 (CUDA) · s, lower is better

    B ahead by 109.1%

    Position among tested models (21, CUDA)

    B · 89A · 187
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 is ahead by 109.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

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

    Blender Open Data (Blender Foundation)

    Median of 39 submissions (1 outliers excluded), interquartile range 181.33–191.2; submissions 2021-07-15 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 3060

    89.3 s · community measurement, sample 110 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 110 submissions (13 outliers excluded), interquartile range 88.27–90.16; submissions 2021-07-10 to 2022-02-26; 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 (CUDA) · s, lower is better

    B ahead by 103.4%

    Position among tested models (20, CUDA)

    B · 156A · 317
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 is ahead by 103.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

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

    Blender Open Data (Blender Foundation)

    Median of 34 submissions (3 outliers excluded), interquartile range 310.65–323.27; submissions 2021-07-15 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 3060

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

    Blender Open Data (Blender Foundation)

    Median of 109 submissions (11 outliers excluded), interquartile range 153.77–157.51; submissions 2021-07-10 to 2022-02-26; 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 (CUDA) · s, lower is better

    B ahead by 74.4%

    Position among tested models (21, CUDA)

    B · 264A · 461
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 is ahead by 74.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

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

    Blender Open Data (Blender Foundation)

    Median of 39 submissions (1 outliers excluded), interquartile range 450.31–469.8; submissions 2021-07-15 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 3060

    264.3 s · community measurement, sample 111 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 111 submissions (14 outliers excluded), interquartile range 259.95–267.94; submissions 2021-07-10 to 2022-02-26; 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 (CUDA) · s, lower is better

    B ahead by 109.3%

    Position among tested models (19, CUDA)

    B · 381A · 798
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 3060 is ahead by 109.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

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

    Blender Open Data (Blender Foundation)

    Median of 28 submissions (7 outliers excluded), interquartile range 789.1–813.67; submissions 2021-07-20 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 3060

    381.2 s · community measurement, sample 110 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 110 submissions (11 outliers excluded), interquartile range 375.73–388.04; submissions 2021-07-10 to 2022-02-26; 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 4.5.0

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

    B ahead by 269.3%

    Position among tested models (67, OptiX)

    A · 585B · 2,160
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 3060 is ahead by 269.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

    584.9 samples/min · community measurement, sample 81 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 81 submissions (0 outliers excluded), interquartile range 570.45–627.62; submissions 2025-07-29 to 2026-08-29; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 3060

    2,159.8 samples/min · community measurement, sample 583 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 583 submissions (49 outliers excluded), interquartile range 2094.29–2210.76; submissions 2025-07-17 to 2026-11-03; 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 (17)
BenchmarkABDifference
Blender Benchmark 2.92GPU, bmw27 (CUDA)90.947.3B +92.1%
Blender Benchmark 2.92GPU, classroom (CUDA)272.3141.3B +92.7%
Blender Benchmark 2.92GPU, fishy_cat (CUDA)177.286.7B +104.5%
Blender Benchmark 2.92GPU, koro (CUDA)301.8155.3B +94.4%
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)491.1285.6B +72%
Blender Benchmark 2.92GPU, victor (CUDA)759.6414.8B +83.1%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)577.62,155.1B +273.1%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)614.92,411.8B +292.2%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)609.82,395.8B +292.9%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)613.32,445.1B +298.7%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)619.22,432.7B +292.9%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)624.92,523.8B +303.9%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)621.32,537.8B +308.4%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)577.82,241.3B +287.9%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)581.42,231.9B +283.9%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)567.92,148.8B +278.4%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)574.22,157.9B +275.8%

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

Reference results (85)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)784.6—no pair
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)787.8—no pair
Blender Benchmark 2.81GPU, bmw27 (CUDA)88.5—no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)89.4—no pair
Blender Benchmark 2.82GPU, bmw27 (CUDA)88.5—no pair
Blender Benchmark 2.83GPU, bmw27 (CUDA)90.7—no pair
Blender Benchmark 2.90GPU, bmw27 (CUDA)9952.5reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)92.5—no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)87.3—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)87.3—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)8623.2reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)88.324.4reference
Blender Benchmark 2.81GPU, classroom (CUDA)279.9—no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)282.8—no pair
Blender Benchmark 2.82GPU, classroom (CUDA)280.3—no pair
Blender Benchmark 2.83GPU, classroom (CUDA)285.9—no pair
Blender Benchmark 2.90GPU, classroom (CUDA)290.2150.9reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)280.1—no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)304.2—no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)324.8—no pair
Blender Benchmark 2.92GPU, classroom (OPTIX)310.985.1reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)322.886.9reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)176.2—no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)178—no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)182.1—no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)183.7—no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)18992.5reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)179.7—no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)164.7—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)161.2—no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)169.152.5reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)171.252.9reference
Blender Benchmark 2.81GPU, koro (CUDA)343.4—no pair
Blender Benchmark 2.81aGPU, koro (CUDA)343.8—no pair
Blender Benchmark 2.82GPU, koro (CUDA)341.2—no pair
Blender Benchmark 2.83GPU, koro (CUDA)328.4—no pair
Blender Benchmark 2.90GPU, koro (CUDA)308.6157.7reference
Blender Benchmark 2.91.2GPU, koro (CUDA)302.5—no pair
Blender Benchmark 2.90GPU, koro (OPTIX)189.6—no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)188.1—no pair
Blender Benchmark 2.92GPU, koro (OPTIX)247.7111.7reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)194.4110.4reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)485.5—no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)478.6—no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)483.3—no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)491.9—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)525.5280.4reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)490.5—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)470.5—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)465—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)472.8115.6reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)484.4118.1reference
Blender Benchmark 2.81GPU, victor (CUDA)793.3—no pair
Blender Benchmark 2.81aGPU, victor (CUDA)749—no pair
Blender Benchmark 2.82GPU, victor (CUDA)753.3—no pair
Blender Benchmark 2.83GPU, victor (CUDA)707.2—no pair
Blender Benchmark 2.90GPU, victor (CUDA)703.6373.2reference
Blender Benchmark 2.91.2GPU, victor (CUDA)688.2—no pair
Blender Benchmark 2.90GPU, victor (OPTIX)620.2—no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)617—no pair
Blender Benchmark 2.92GPU, victor (OPTIX)697.3169.9reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)688.4169reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)668—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)609.61,318.1reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)608.9—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)613.61,343reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)635.21,350.8reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)6381,331.4reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)640.91,408reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)650.21,512.8reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)602.91,370.7reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)588.3—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)603.5—no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)582.81,369.9reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)564.11,353.2reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)632.41,354.2reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)512.91,205.1reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)486.91,997.7reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)506.91,992.7reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6432,515reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)6112,260.9reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)601.62,386.5reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)482.11,956.8reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4742,064reference
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—2,152.8no pair

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

Specifications

Chip

  • Architecture

    APascal

    BAmpere

    differs
  • Shader units

    A2,560 (CUDA cores)

    B3,584 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,607 MHz

    B1,320 MHz

    A: 287 MHz more
  • Boost clock

    A1,733 MHz

    B1,780 MHz

    B: 47 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

    A8 GB

    B12 GB

    B: 4 GB more
  • Memory type

    AGDDR5X

    BGDDR6

    differs
  • Memory bus

    A256 bit

    B192 bit

    A: 64 bit more

Power and dimensions

  • Board power

    A180 W (TDP)

    B170 W (board 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

    Ano data

    B550 W

    no data for A
  • Interface

    APCIe 3.0 x16

    BPCIe 4.0

    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 GTX 1080 and NVIDIA GeForce RTX 3060 have?

NVIDIA GeForce GTX 1080: 8 GB GDDR5X, 256-bit bus. NVIDIA GeForce RTX 3060: 12 GB GDDR6, 192-bit bus.

Which PCIe interface do the cards use?

NVIDIA GeForce GTX 1080: PCIe 3.0 x16. NVIDIA GeForce RTX 3060: PCIe 4.0.

Which is faster: NVIDIA GeForce GTX 1080 or NVIDIA GeForce RTX 3060?

NVIDIA GeForce RTX 3060 leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (3)
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1080, release date and launch pricechecked November 14, 2026
  • NVIDIA — specifications of NVIDIA GeForce RTX 3060checked 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 3.0.1, 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 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0checked November 14, 2026

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

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