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

ANVIDIA · Pascal

NVIDIA GeForce GTX 1070

  • 8 GB GDDR5
  • 150 W

June 10, 2016 · $379 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 1070GeForce GTX 1080 Ti →
  • Rendering and compute

    B +90.3%

    NVIDIA GeForce GTX 1080 Ti leads in this scenario (up to 90.3% 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 is better2

  • Board power 100 W lower150 W (TDP) vs 250 W (TDP)

  • Launch price $320 lower$379 vs $699

Where GeForce GTX 1080 Ti is better14

  • Blender Benchmark 2.81 86.7% lower530 s vs 989 s

  • Blender Benchmark 2.93.1 60.5% lower56 s vs 90 s

  • Blender Benchmark 2.93.1 72.7% lower63 s vs 108 s

  • Blender Benchmark 2.93.1 84.9% lower172 s vs 318 s

  • Blender Benchmark 2.90 86.6% lower213 s vs 397 s

  • Blender Benchmark 2.93.1 70.1% lower124 s vs 211 s

  • Blender Benchmark 2.93.1 67.4% lower220 s vs 369 s

  • Blender Benchmark 2.93.1 77.3% lower311 s vs 551 s

  • Blender Benchmark 2.93.1 63.1% lower521 s vs 850 s

  • Blender Benchmark 4.5.0 56.9% faster821 samples/min vs 524 samples/min

  • Shader units 1,664 more3,584 (CUDA cores) vs 1,920 (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 2.81

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

    B ahead by 86.7%

    Position among tested models (4, CUDA)

    B · 530A · 989
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 86.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070

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

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (2 outliers excluded), interquartile range 974.27–1022.69; submissions 2020-01-09 to 2020-01-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080 Ti

    529.5 s · community measurement, sample 26 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 26 submissions (0 outliers excluded), interquartile range 513.35–551.47; submissions 2020-01-09 to 2020-01-26; 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, bmw27 (CUDA) · s, lower is better

    B ahead by 60.5%

    Position among tested models (31, CUDA)

    B · 56A · 90
    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 60.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070

    90.2 s · community measurement, sample 83 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 83 submissions (7 outliers excluded), interquartile range 88.16–91.66; submissions 2021-07-11 to 2022-02-28; 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 2.93.1

    GPU, bmw27 (OPTIX) · s, lower is better

    B ahead by 72.7%

    Position among tested models (20, OptiX)

    B · 63A · 108
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 72.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070

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

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (2 outliers excluded), interquartile range 106.84–111.79; submissions 2021-07-21 to 2022-02-27; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080 Ti

    62.7 s · community measurement, sample 23 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 23 submissions (1 outliers excluded), interquartile range 60.35–64.88; submissions 2021-07-14 to 2022-02-09; 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 84.9%

    Position among tested models (26, CUDA)

    B · 172A · 318
    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 84.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070

    317.9 s · community measurement, sample 54 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 54 submissions (8 outliers excluded), interquartile range 310.1–327.85; submissions 2021-07-09 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080 Ti

    172 s · community measurement, sample 58 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 58 submissions (7 outliers excluded), interquartile range 169.09–175.74; submissions 2021-07-19 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 (OPTIX) · s, lower is better

    B ahead by 86.6%

    Position among tested models (15, OptiX)

    B · 213A · 397
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 86.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070

    396.6 s · community measurement, sample 35 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 35 submissions (0 outliers excluded), interquartile range 369.82–412.67; submissions 2020-09-02 to 2021-01-23; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080 Ti

    212.6 s · community measurement, sample 23 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 23 submissions (1 outliers excluded), interquartile range 203.94–221.54; submissions 2020-09-06 to 2022-01-26; 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 70.1%

    Position among tested models (21, CUDA)

    B · 124A · 211
    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 70.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070

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

    Blender Open Data (Blender Foundation)

    Median of 40 submissions (8 outliers excluded), interquartile range 208.23–215.49; submissions 2021-07-12 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 46 submissions (8 outliers excluded), interquartile range 122.73–126.56; submissions 2021-07-21 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 2.93.1

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

    B ahead by 67.4%

    Position among tested models (20, CUDA)

    B · 220A · 369
    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 67.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070

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

    Blender Open Data (Blender Foundation)

    Median of 40 submissions (8 outliers excluded), interquartile range 361.19–376.13; submissions 2021-07-12 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080 Ti

    220.4 s · community measurement, sample 41 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 41 submissions (8 outliers excluded), interquartile range 218.9–224.53; submissions 2021-07-21 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 2.93.1

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

    B ahead by 77.3%

    Position among tested models (21, CUDA)

    B · 311A · 551
    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 77.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070

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

    Blender Open Data (Blender Foundation)

    Median of 46 submissions (4 outliers excluded), interquartile range 539.97–570.38; submissions 2021-07-12 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080 Ti

    310.6 s · community measurement, sample 42 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 42 submissions (10 outliers excluded), interquartile range 308.52–315.53; submissions 2021-07-21 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 2.93.1

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

    B ahead by 63.1%

    Position among tested models (19, CUDA)

    B · 521A · 850
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 Ti is ahead by 63.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070

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

    Blender Open Data (Blender Foundation)

    Median of 40 submissions (7 outliers excluded), interquartile range 837.37–862.42; submissions 2021-07-12 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1080 Ti

    521.3 s · community measurement, sample 41 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 41 submissions (8 outliers excluded), interquartile range 514.79–527.59; submissions 2021-07-21 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 4.5.0

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

    B ahead by 56.9%

    Position among tested models (67, OptiX)

    A · 524B · 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 56.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070

    523.6 samples/min · community measurement, sample 72 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 72 submissions (6 outliers excluded), interquartile range 509.18–537.94; submissions 2025-07-25 to 2026-03-05; 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 (49)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,012.7532.3B +90.3%
Blender Benchmark 2.81GPU, bmw27 (CUDA)103.462.5B +65.3%
Blender Benchmark 2.81aGPU, bmw27 (CUDA)104.163.2B +64.6%
Blender Benchmark 2.82GPU, bmw27 (CUDA)102.962.2B +65.4%
Blender Benchmark 2.83GPU, bmw27 (CUDA)105.664.1B +64.7%
Blender Benchmark 2.90GPU, bmw27 (CUDA)112.169.9B +60.4%
Blender Benchmark 2.92GPU, bmw27 (CUDA)104.264.3B +62.2%
Blender Benchmark 2.90GPU, bmw27 (OPTIX)108.561.2B +77.3%
Blender Benchmark 2.81GPU, classroom (CUDA)351.4189.1B +85.9%
Blender Benchmark 2.81aGPU, classroom (CUDA)361.2192.2B +87.9%
Blender Benchmark 2.82GPU, classroom (CUDA)353.4192.3B +83.8%
Blender Benchmark 2.83GPU, classroom (CUDA)363.8194.8B +86.7%
Blender Benchmark 2.90GPU, classroom (CUDA)365.3197.9B +84.5%
Blender Benchmark 2.92GPU, classroom (CUDA)351.7185B +90.1%
Blender Benchmark 2.81GPU, fishy_cat (CUDA)205.9119.6B +72.1%
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)208.3121.3B +71.7%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)211.7123.4B +71.6%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)213124.1B +71.7%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)217.2127.4B +70.5%
Blender Benchmark 2.92GPU, fishy_cat (CUDA)208.4119.1B +75%
Blender Benchmark 2.81GPU, koro (CUDA)401.4245.9B +63.2%
Blender Benchmark 2.81aGPU, koro (CUDA)408.8248.4B +64.6%
Blender Benchmark 2.82GPU, koro (CUDA)401245.2B +63.6%
Blender Benchmark 2.83GPU, koro (CUDA)393.7236B +66.8%
Blender Benchmark 2.90GPU, koro (CUDA)359.7216.7B +66%
Blender Benchmark 2.92GPU, koro (CUDA)362.2213.3B +69.8%
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)575.7331B +73.9%
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)580.5330.5B +75.7%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)575.1329.7B +74.4%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)588.2337.5B +74.3%
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)604.4359B +68.4%
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)582.9334.7B +74.1%
Blender Benchmark 2.81GPU, victor (CUDA)836.2493.3B +69.5%
Blender Benchmark 2.81aGPU, victor (CUDA)906.2491.8B +84.3%
Blender Benchmark 2.82GPU, victor (CUDA)878.9487.7B +80.2%
Blender Benchmark 2.83GPU, victor (CUDA)807.6478.1B +68.9%
Blender Benchmark 2.90GPU, victor (CUDA)800.4472.4B +69.4%
Blender Benchmark 2.92GPU, victor (CUDA)867.1521.5B +66.2%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)534.5821.5B +53.7%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)567.2868B +53%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)572.3883.9B +54.4%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)567.4878.4B +54.8%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)567.6879.8B +55%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)573.3889.7B +55.2%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)574889.8B +55%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)540.2830.7B +53.8%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)548842.2B +53.7%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)522.5829B +58.7%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)527.1820.8B +55.7%

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

Reference results (54)
BenchmarkABDifference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)105.465.4reference
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)162.3—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)107.861.8reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)109.161.3reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)329.9193.9reference
Blender Benchmark 2.90.1GPU, classroom (OPTIX)630.3—no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)389.5216.5reference
Blender Benchmark 2.92GPU, classroom (OPTIX)386.7221.1reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)412.9221.4reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)204122.4reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)205.8115.4reference
Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX)322.6—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)200.3115.5reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)204.8119.4reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)213.2117.4reference
Blender Benchmark 2.91.2GPU, koro (CUDA)345.7214.6reference
Blender Benchmark 2.90GPU, koro (OPTIX)239.7132.1reference
Blender Benchmark 2.90.1GPU, koro (OPTIX)377.3—no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)228.9133.7reference
Blender Benchmark 2.92GPU, koro (OPTIX)316.7172.2reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)247.4135.1reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)558.8341.4reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)579330.9reference
Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX)873.9—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)560.3326.6reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)558.4333.8reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)592.5334.1reference
Blender Benchmark 2.91.2GPU, victor (CUDA)763.4460.2reference
Blender Benchmark 2.90GPU, victor (OPTIX)778.6447.9reference
Blender Benchmark 2.90.1GPU, victor (OPTIX)1,202.1—no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)752.1436.1reference
Blender Benchmark 2.92GPU, victor (OPTIX)818.9480.3reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)848.4462.5reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)705.2936.1reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)639.5873.8reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)642.2895.1reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)653.8976.1reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)619.2931.9reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)647.6—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)631.4928.2reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)653960.5reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)610.5—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)662.3886.4reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)606.7905.1reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)628.7—no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)449.5685.3reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)474.2699.6reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)624.6935.9reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)567.1888.7reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)461.2695.2reference
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

    AGP104-200-A1

    BGP102-350-K1-A1

    differs
  • Architecture

    APascal

    BPascal

    equal
  • Shader units

    A1,920 (CUDA cores)

    B3,584 (CUDA cores)

    B: 1,664 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,506 MHz

    B1,481 MHz

    A: 25 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

    A150 W (TDP)

    B250 W (TDP)

    B: 100 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 and NVIDIA GeForce GTX 1080 Ti have?

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

Which is faster: NVIDIA GeForce GTX 1070 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, 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 2.90.1, 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 5.1.1, benchmark Blender Benchmark 5.2.0, 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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