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GeForce GTX 1070 Ti vs GeForce GTX 1080: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1070 Ti

  • 8 GB GDDR5
  • 180 W

November 2, 2017 · $399 at launch

BNVIDIA · Pascal

NVIDIA GeForce GTX 1080

  • 8 GB GDDR5X
  • 180 W

May 27, 2016

Short verdict

NVIDIA GeForce GTX 1070 Ti 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 1070 TiGeForce GTX 1080 →
  • Rendering and compute

    A +6%

    NVIDIA GeForce GTX 1070 Ti leads in this scenario (up to 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 GTX 1070 Ti is better0

No advantages found in our data.

Where GeForce GTX 1080 is better1

  • Shader units 128 more2,560 (CUDA cores) vs 2,432 (CUDA cores)

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

    3.6% difference, within the threshold

    Position among tested models (31, CUDA)

    A · 78B · 81
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 3.6% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1070 Ti

    77.7 s · community measurement, sample 20 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (2 outliers excluded), interquartile range 76.96–78.05; submissions 2021-07-12 to 2022-02-25; CUDA backend. Snapshot 2026-11-14.

    B · 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.

    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 2.90

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

    1.1% difference, within the threshold

    Position among tested models (25, CUDA)

    B · 290A · 294
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 1.1% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1070 Ti

    293.5 s · community measurement, sample 75 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 75 submissions (3 outliers excluded), interquartile range 280.96–296.59; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080

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

    Blender Open Data (Blender Foundation)

    Median of 143 submissions (9 outliers excluded), interquartile range 284.58–299.98; submissions 2020-09-02 to 2021-04-17; 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 2.90

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

    0.8% difference, within the threshold

    Position among tested models (22, CUDA)

    A · 188B · 189
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 0.8% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1070 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 56 submissions (3 outliers excluded), interquartile range 179.05–190.86; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080

    189 s · community measurement, sample 115 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 115 submissions (11 outliers excluded), interquartile range 185.79–193.03; submissions 2020-09-02 to 2021-04-17; 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 2.90

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

    4.2% difference, within the threshold

    Position among tested models (22, CUDA)

    A · 296B · 309
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 4.2% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1070 Ti

    296 s · community measurement, sample 52 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 52 submissions (3 outliers excluded), interquartile range 283.33–300.59; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080

    308.6 s · community measurement, sample 105 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 105 submissions (11 outliers excluded), interquartile range 303.03–314.18; submissions 2020-09-02 to 2021-01-30; 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 2.90

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

    4.5% difference, within the threshold

    Position among tested models (23, CUDA)

    A · 503B · 525
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 4.5% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1070 Ti

    502.9 s · community measurement, sample 52 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 52 submissions (3 outliers excluded), interquartile range 479.86–509.1; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080

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

    Blender Open Data (Blender Foundation)

    Median of 114 submissions (10 outliers excluded), interquartile range 516.26–539.09; submissions 2020-09-02 to 2021-01-30; 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 2.90

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

    1.6% difference, within the threshold

    Position among tested models (20, CUDA)

    A · 693B · 704
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 1.6% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1070 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 46 submissions (8 outliers excluded), interquartile range 663.89–711.48; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080

    703.6 s · community measurement, sample 100 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 100 submissions (16 outliers excluded), interquartile range 690.88–715.17; submissions 2020-09-02 to 2021-01-30; 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

    1.1% difference, within the threshold

    Position among tested models (67, OptiX)

    B · 585A · 592
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    The 1.1% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1070 Ti

    591.6 samples/min · community measurement, sample 24 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (1 outliers excluded), interquartile range 582.59–600.66; submissions 2025-07-19 to 2026-04-11; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 (20)
BenchmarkABDifference
Blender Benchmark 2.81GPU, bmw27 (CUDA)88.488.5A +0.1%
Blender Benchmark 2.81aGPU, bmw27 (CUDA)86.889.4A +3%
Blender Benchmark 2.82GPU, bmw27 (CUDA)8888.5A +0.6%
Blender Benchmark 2.83GPU, bmw27 (CUDA)89.390.7A +1.6%
Blender Benchmark 2.90GPU, bmw27 (CUDA)96.299A +2.9%
Blender Benchmark 2.81GPU, classroom (CUDA)286.5279.9B +2.4%
Blender Benchmark 2.82GPU, classroom (CUDA)285.5280.3B +1.9%
Blender Benchmark 2.83GPU, classroom (CUDA)286.1285.9B +0%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)182.2182.1B +0%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)180.9183.7A +1.6%
Blender Benchmark 2.82GPU, koro (CUDA)338341.2A +0.9%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)474.3483.3A +1.9%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)485.9491.9A +1.2%
Blender Benchmark 2.82GPU, victor (CUDA)714.3753.3A +5.5%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)633.8614.9A +3.1%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)635.3613.3A +3.6%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)639.7619.2A +3.3%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)662.4624.9A +6%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)635.4621.3A +2.3%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)596.6577.8A +3.3%

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

Reference results (81)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)802.3784.6reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)802.9787.8reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)89.792.5reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)89.990.9reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)9087.3reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)88.987.3reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)89.586reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)91.788.3reference
Blender Benchmark 2.81aGPU, classroom (CUDA)284.4282.8reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)274.6280.1reference
Blender Benchmark 2.92GPU, classroom (CUDA)280272.3reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)253.8253.5reference
Blender Benchmark 2.90GPU, classroom (OPTIX)325.3304.2reference
Blender Benchmark 2.92GPU, classroom (OPTIX)338.1310.9reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)328.2322.8reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)176.7176.2reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)178.2178reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)176.6179.7reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)178.1177.2reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)181.7186.8reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)168.7164.7reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)175169.1reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)178.8171.2reference
Blender Benchmark 2.81GPU, koro (CUDA)340.9343.4reference
Blender Benchmark 2.81aGPU, koro (CUDA)341.7343.8reference
Blender Benchmark 2.83GPU, koro (CUDA)327.8328.4reference
Blender Benchmark 2.91.2GPU, koro (CUDA)291.9302.5reference
Blender Benchmark 2.92GPU, koro (CUDA)295.3301.8reference
Blender Benchmark 2.93.1GPU, koro (CUDA)300.5316.7reference
Blender Benchmark 2.90GPU, koro (OPTIX)195.9189.6reference
Blender Benchmark 2.92GPU, koro (OPTIX)281.2247.7reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)206.8194.4reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)480.4485.5reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)472.5478.6reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)471.7490.5reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)483.3491.1reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)447.2460.9reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)475.9470.5reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)491.7472.8reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)501.4484.4reference
Blender Benchmark 2.81GPU, victor (CUDA)773793.3reference
Blender Benchmark 2.81aGPU, victor (CUDA)750.1749reference
Blender Benchmark 2.83GPU, victor (CUDA)690.6707.2reference
Blender Benchmark 2.91.2GPU, victor (CUDA)668.2688.2reference
Blender Benchmark 2.92GPU, victor (CUDA)745.5759.6reference
Blender Benchmark 2.93.1GPU, victor (CUDA)734.5797.7reference
Blender Benchmark 2.90GPU, victor (OPTIX)650.3620.2reference
Blender Benchmark 2.92GPU, victor (OPTIX)751.1697.3reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)701.6688.4reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)687.1609.6reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)674.9613.6reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)652.1635.2reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)667.3638reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)663.7640.9reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)684650.2reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)592.8577.6reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)495486.9reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)513.6506.9reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)658.3643reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)662.6601.6reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)614.7609.8reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)599.7581.4reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)590.9567.9reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)587.9574.2reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)506.8474reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)—324.8no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)—161.2no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)—188.1no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)—465no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)—617no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—668no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—608.9no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—602.9no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—588.3no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—603.5no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—582.8no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—564.1no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—632.4no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—512.9no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—611no pair
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—482.1no pair

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

Specifications

Chip

  • GPU chip

    AGP104-300-A1

    Bno data

    no data for B
  • Architecture

    APascal

    BPascal

    equal
  • Shader units

    A2,432 (CUDA cores)

    B2,560 (CUDA cores)

    B: 128 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,607 MHz

    B1,607 MHz

    equal
  • Boost clock

    A1,683 MHz

    B1,733 MHz

    B: 50 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

    B8 GB

    equal
  • Memory type

    AGDDR5

    BGDDR5X

    differs
  • Memory bus

    A256 bit

    B256 bit

    equal
  • Memory bandwidth

    A256.3 GB/s

    Bno data

    no data for B

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

Power and dimensions

  • Board power

    A180 W (TDP)

    B180 W (TDP)

    equal

    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.

  • Interface

    APCIe 3.0 x16

    BPCIe 3.0 x16

    equal

“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 1070 Ti and NVIDIA GeForce GTX 1080 have?

NVIDIA GeForce GTX 1070 Ti: 8 GB GDDR5, 256-bit bus. NVIDIA GeForce GTX 1080: 8 GB GDDR5X, 256-bit bus.

Which PCIe interface do the cards use?

NVIDIA GeForce GTX 1070 Ti: PCIe 3.0 x16. NVIDIA GeForce GTX 1080: PCIe 3.0 x16.

Which is faster: NVIDIA GeForce GTX 1070 Ti or NVIDIA GeForce GTX 1080?

NVIDIA GeForce GTX 1070 Ti leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (2)
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1070 Ti, specifications of NVIDIA GeForce GTX 1080, release date and launch pricechecked November 14, 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 3.2.1, 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 3.0.1, benchmark Blender Benchmark 3.2.0, 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 5.1.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 5.0.0checked November 14, 2026

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

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