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GeForce GTX 1070 Ti vs GeForce GTX 1080 Ti: 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 Ti

  • 11 GB GDDR5X
  • 250 W

March 5, 2017 · $699 at launch

Short verdict

NVIDIA GeForce GTX 1080 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 Ti →
  • Rendering and compute

    B +51.5%

    NVIDIA GeForce GTX 1080 Ti leads in this scenario (up to 51.5% 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 better2

  • Board power 70 W lower180 W (TDP) vs 250 W (TDP)

  • Launch price $300 lower$399 vs $699

Where GeForce GTX 1080 Ti is better11

  • Blender Benchmark 2.93.1 38.2% lower56 s vs 78 s

  • Blender Benchmark 2.90 48.3% lower198 s vs 294 s

  • Blender Benchmark 2.90 47.2% lower127 s vs 188 s

  • Blender Benchmark 2.90 36.6% lower217 s vs 296 s

  • Blender Benchmark 2.90 40.1% lower359 s vs 503 s

  • Blender Benchmark 2.90 46.6% lower472 s vs 693 s

  • Blender Benchmark 4.5.0 38.9% faster821 samples/min vs 592 samples/min

  • Shader units 1,152 more3,584 (CUDA cores) vs 2,432 (CUDA cores)

  • Video memory 3 GB more11 GB vs 8 GB

  • Memory bus 96 bit more352 bit vs 256 bit

  • Memory bandwidth 228.1 GB/s more484.4 GB/s vs 256.3 GB/s

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 38.2%

    Position among tested models (31, CUDA)

    B · 56A · 78
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 38.2% in this benchmark.

    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 Ti

    56.2 s · community measurement, sample 76 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 76 submissions (6 outliers excluded), interquartile range 55.4–57.39; submissions 2021-07-11 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 2.90

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

    B ahead by 48.3%

    Position among tested models (25, CUDA)

    B · 198A · 294
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 48.3% in this benchmark.

    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 Ti

    197.9 s · community measurement, sample 199 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 199 submissions (9 outliers excluded), interquartile range 192.68–204.4; submissions 2020-09-02 to 2021-01-27; 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

    B ahead by 47.2%

    Position among tested models (22, CUDA)

    B · 127A · 188
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 47.2% in this benchmark.

    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 Ti

    127.4 s · community measurement, sample 166 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 166 submissions (12 outliers excluded), interquartile range 124.67–130.48; submissions 2020-09-02 to 2021-01-27; 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

    B ahead by 36.6%

    Position among tested models (22, CUDA)

    B · 217A · 296
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 36.6% in this benchmark.

    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 Ti

    216.7 s · community measurement, sample 151 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 151 submissions (24 outliers excluded), interquartile range 213.35–220.93; submissions 2020-09-02 to 2021-01-27; 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

    B ahead by 40.1%

    Position among tested models (23, CUDA)

    B · 359A · 503
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 40.1% in this benchmark.

    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 Ti

    359 s · community measurement, sample 157 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 157 submissions (19 outliers excluded), interquartile range 352.55–366.03; submissions 2020-09-02 to 2021-01-27; 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

    B ahead by 46.6%

    Position among tested models (20, CUDA)

    B · 472A · 693
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 46.6% in this benchmark.

    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 Ti

    472.4 s · community measurement, sample 155 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 155 submissions (17 outliers excluded), interquartile range 463.04–482.59; submissions 2020-09-02 to 2021-01-27; 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 38.9%

    Position among tested models (67, OptiX)

    A · 592B · 821
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce GTX 1080 Ti is ahead by 38.9% in this benchmark.

    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 Ti

    821.4 samples/min · community measurement, sample 57 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 57 submissions (6 outliers excluded), interquartile range 808.6–840.55; submissions 2025-07-18 to 2026-03-07; 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)88.462.5B +41.3%
Blender Benchmark 2.81aGPU, bmw27 (CUDA)86.863.2B +37.3%
Blender Benchmark 2.82GPU, bmw27 (CUDA)8862.2B +41.4%
Blender Benchmark 2.83GPU, bmw27 (CUDA)89.364.1B +39.3%
Blender Benchmark 2.90GPU, bmw27 (CUDA)96.269.9B +37.7%
Blender Benchmark 2.81GPU, classroom (CUDA)286.5189.1B +51.5%
Blender Benchmark 2.82GPU, classroom (CUDA)285.5192.3B +48.5%
Blender Benchmark 2.83GPU, classroom (CUDA)286.1194.8B +46.8%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)182.2123.4B +47.7%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)180.9124.1B +45.8%
Blender Benchmark 2.82GPU, koro (CUDA)338245.2B +37.9%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)474.3329.7B +43.8%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)485.9337.5B +44%
Blender Benchmark 2.82GPU, victor (CUDA)714.3487.7B +46.5%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)633.8868B +37%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)635.3878.4B +38.3%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)639.7879.8B +37.5%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)662.4889.7B +34.3%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)635.4889.8B +40%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)596.6830.7B +39.2%

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

Reference results (78)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)802.3529.5reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)802.9532.3reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)89.765.4reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)89.964.3reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)9061.2reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)88.961.8reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)89.561.3reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)91.762.7reference
Blender Benchmark 2.81aGPU, classroom (CUDA)284.4192.2reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)274.6193.9reference
Blender Benchmark 2.92GPU, classroom (CUDA)280185reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)253.8172reference
Blender Benchmark 2.90GPU, classroom (OPTIX)325.3212.6reference
Blender Benchmark 2.92GPU, classroom (OPTIX)338.1221.1reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)328.2221.4reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)176.7119.6reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)178.2121.3reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)176.6122.4reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)178.1119.1reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)181.7124.3reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)168.7115.4reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)175119.4reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)178.8117.4reference
Blender Benchmark 2.81GPU, koro (CUDA)340.9245.9reference
Blender Benchmark 2.81aGPU, koro (CUDA)341.7248.4reference
Blender Benchmark 2.83GPU, koro (CUDA)327.8236reference
Blender Benchmark 2.91.2GPU, koro (CUDA)291.9214.6reference
Blender Benchmark 2.92GPU, koro (CUDA)295.3213.3reference
Blender Benchmark 2.93.1GPU, koro (CUDA)300.5220.4reference
Blender Benchmark 2.90GPU, koro (OPTIX)195.9132.1reference
Blender Benchmark 2.92GPU, koro (OPTIX)281.2172.2reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)206.8135.1reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)480.4331reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)472.5330.5reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)471.7341.4reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)483.3334.7reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)447.2310.6reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)475.9330.9reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)491.7333.8reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)501.4334.1reference
Blender Benchmark 2.81GPU, victor (CUDA)773493.3reference
Blender Benchmark 2.81aGPU, victor (CUDA)750.1491.8reference
Blender Benchmark 2.83GPU, victor (CUDA)690.6478.1reference
Blender Benchmark 2.91.2GPU, victor (CUDA)668.2460.2reference
Blender Benchmark 2.92GPU, victor (CUDA)745.5521.5reference
Blender Benchmark 2.93.1GPU, victor (CUDA)734.5521.3reference
Blender Benchmark 2.90GPU, victor (OPTIX)650.3447.9reference
Blender Benchmark 2.92GPU, victor (OPTIX)751.1480.3reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)701.6462.5reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)687.1873.8reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)674.9976.1reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)652.1931.9reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)667.3—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)663.7928.2reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)684960.5reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)592.8821.5reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)495685.3reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)513.6699.6reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)658.3935.9reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)662.6888.7reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)614.7883.9reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)599.7842.2reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)590.9829reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)587.9820.8reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)506.8695.2reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)—216.5no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)—115.5no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)—133.7no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)—326.6no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)—436.1no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—936.1no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—895.1no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—886.4no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—905.1no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—925.1no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—969.1no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—780.2no pair
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—726.9no pair

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

Specifications

Chip

  • GPU chip

    AGP104-300-A1

    BGP102-350-K1-A1

    differs
  • Architecture

    APascal

    BPascal

    equal
  • Shader units

    A2,432 (CUDA cores)

    B3,584 (CUDA cores)

    B: 1,152 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,607 MHz

    B1,481 MHz

    A: 126 MHz more
  • Boost clock

    A1,683 MHz

    B1,582 MHz

    A: 101 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

    B11 GB

    B: 3 GB more
  • Memory type

    AGDDR5

    BGDDR5X

    differs
  • Memory bus

    A256 bit

    B352 bit

    B: 96 bit more
  • Memory bandwidth

    A256.3 GB/s

    B484.4 GB/s

    B: 228.1 GB/s more

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

Power and dimensions

  • Board power

    A180 W (TDP)

    B250 W (TDP)

    B: 70 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.

  • 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 Ti have?

NVIDIA GeForce GTX 1070 Ti: 8 GB GDDR5, 256-bit bus. NVIDIA GeForce GTX 1080 Ti: 11 GB GDDR5X, 352-bit bus.

Which PCIe interface do the cards use?

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

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

NVIDIA GeForce GTX 1080 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 Ti, 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 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.3.0, 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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