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GeForce GTX 1080 vs GeForce GTX 1660 Ti: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1080

  • 8 GB GDDR5X
  • 180 W

May 27, 2016

BNVIDIA · Turing

NVIDIA GeForce GTX 1660 Ti

  • 6 GB GDDR6
  • 120 W

February 21, 2019 · $279 at launch

Short verdict

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

Compare with AI
← GeForce GTX 1080GeForce GTX 1660 Ti →
  • 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 GTX 1080 is better4

  • Blender Benchmark 2.93.1 18.5% lower253 s vs 300 s

  • Blender Benchmark 2.90 9.9% lower525 s vs 578 s

  • Video memory 2 GB more8 GB vs 6 GB

  • Memory bus 64 bit more256 bit vs 192 bit

Where GeForce GTX 1660 Ti is better4

  • Blender Benchmark 2.90 17.6% lower74 s vs 87 s

  • Blender Benchmark 2.93.1 10.2% lower170 s vs 187 s

  • Blender Benchmark 4.5.0 28.7% faster753 samples/min vs 585 samples/min

  • Board power 60 W lower120 W (TDP) vs 180 W (TDP)

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

    4.6% difference, within the threshold

    Position among tested models (31, CUDA)

    A · 81B · 84
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 4.6% difference is below the noticeable threshold (5%).

    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 GTX 1660 Ti

    84.2 s · community measurement, sample 43 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 43 submissions (0 outliers excluded), interquartile range 80.69–88.8; submissions 2021-07-14 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 2.90

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

    B ahead by 17.6%

    Position among tested models (17, OptiX)

    B · 74A · 87
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1660 Ti is ahead by 17.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1080

    87.3 s · community measurement, sample 59 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 59 submissions (3 outliers excluded), interquartile range 85.25–89.44; submissions 2020-09-03 to 2021-02-02; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1660 Ti

    74.2 s · community measurement, sample 25 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 25 submissions (3 outliers excluded), interquartile range 72.18–76.22; submissions 2020-09-04 to 2021-02-04; 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

    A ahead by 18.5%

    Position among tested models (26, CUDA)

    A · 253B · 300
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 is ahead by 18.5% 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 GTX 1660 Ti

    300.4 s · community measurement, sample 22 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 22 submissions (3 outliers excluded), interquartile range 296.02–316.53; submissions 2021-07-11 to 2022-01-31; 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 10.2%

    Position among tested models (21, CUDA)

    B · 170A · 187
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1660 Ti is ahead by 10.2% 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 GTX 1660 Ti

    169.5 s · community measurement, sample 21 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 21 submissions (0 outliers excluded), interquartile range 166.86–181.87; submissions 2021-07-12 to 2022-01-31; 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

    3.6% difference, within the threshold

    Position among tested models (22, CUDA)

    B · 298A · 309
    0200400600800
    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 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.

    B · NVIDIA GeForce GTX 1660 Ti

    298 s · community measurement, sample 77 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 77 submissions (6 outliers excluded), interquartile range 292.89–312.81; submissions 2020-09-04 to 2021-02-04; 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

    A ahead by 9.9%

    Position among tested models (23, CUDA)

    A · 525B · 578
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1080 is ahead by 9.9% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce GTX 1660 Ti

    577.5 s · community measurement, sample 82 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 82 submissions (5 outliers excluded), interquartile range 564.82–600.01; submissions 2020-09-04 to 2021-02-04; 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

    0.8% difference, within the threshold

    Position among tested models (20, CUDA)

    A · 704B · 709
    05001,0001,500
    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 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.

    B · NVIDIA GeForce GTX 1660 Ti

    709.3 s · community measurement, sample 77 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 77 submissions (7 outliers excluded), interquartile range 693.39–748.04; submissions 2020-09-04 to 2021-02-04; 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 28.7%

    Position among tested models (67, OptiX)

    A · 585B · 753
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce GTX 1660 Ti is ahead by 28.7% 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 GTX 1660 Ti

    752.7 samples/min · community measurement, sample 58 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 58 submissions (4 outliers excluded), interquartile range 713.01–780.43; submissions 2025-07-17 to 2026-07-24; 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 (33)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)89.490.2A +0.9%
Blender Benchmark 2.82GPU, bmw27 (CUDA)88.591.7A +3.6%
Blender Benchmark 2.83GPU, bmw27 (CUDA)90.792.4A +1.8%
Blender Benchmark 2.90GPU, bmw27 (CUDA)9998.6B +0.5%
Blender Benchmark 2.92GPU, bmw27 (CUDA)90.997.3A +6.9%
Blender Benchmark 2.81aGPU, classroom (CUDA)282.8333A +17.7%
Blender Benchmark 2.82GPU, classroom (CUDA)280.3322.2A +14.9%
Blender Benchmark 2.83GPU, classroom (CUDA)285.9328A +14.7%
Blender Benchmark 2.90GPU, classroom (CUDA)290.2333.4A +14.9%
Blender Benchmark 2.92GPU, classroom (CUDA)272.3341.5A +25.4%
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)178168.3B +5.8%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)182.1173.3B +5.1%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)183.7177.1B +3.7%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)189185.6B +1.9%
Blender Benchmark 2.81aGPU, koro (CUDA)343.8288.5B +19.2%
Blender Benchmark 2.82GPU, koro (CUDA)341.2284.9B +19.8%
Blender Benchmark 2.83GPU, koro (CUDA)328.4302.4B +8.6%
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)478.6546.1A +14.1%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)483.3543.8A +12.5%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)491.9546.7A +11.1%
Blender Benchmark 2.82GPU, victor (CUDA)753.3704.2B +7%
Blender Benchmark 2.83GPU, victor (CUDA)707.2708.4A +0.2%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)577.6763.4B +32.2%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)614.9820.5B +33.4%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)609.8810.8B +32.9%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)613.3825.9B +34.7%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)619.2825.2B +33.3%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)624.9862.4B +38%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)621.3854.4B +37.5%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)577.8781.6B +35.3%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)581.4788.7B +35.7%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)567.9765.6B +34.8%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)574.2753.9B +31.3%

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

Reference results (67)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)784.61,104.2reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)787.81,122.6reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)88.590.5reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)92.594.2reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)87.374.5reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)8672.3reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)88.378reference
Blender Benchmark 2.81GPU, classroom (CUDA)279.9331reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)280.1338.7reference
Blender Benchmark 2.90GPU, classroom (OPTIX)304.2298reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)324.8302.3reference
Blender Benchmark 2.92GPU, classroom (OPTIX)310.9289.8reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)322.8307.1reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)176.2166.2reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)179.7169.5reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)177.2183.9reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)164.7146.3reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)161.2148.8reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)169.1158.6reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)171.2165.4reference
Blender Benchmark 2.81GPU, koro (CUDA)343.4286.5reference
Blender Benchmark 2.91.2GPU, koro (CUDA)302.5275reference
Blender Benchmark 2.92GPU, koro (CUDA)301.8286.2reference
Blender Benchmark 2.93.1GPU, koro (CUDA)316.7269.1reference
Blender Benchmark 2.90GPU, koro (OPTIX)189.6182.5reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)188.1182reference
Blender Benchmark 2.92GPU, koro (OPTIX)247.7—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)194.4230reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)485.5548.6reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)490.5528.2reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)491.1538.2reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)460.9481.4reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)470.5429.1reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)465427reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)472.8—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)484.4454.8reference
Blender Benchmark 2.81GPU, victor (CUDA)793.3712.3reference
Blender Benchmark 2.81aGPU, victor (CUDA)749718.6reference
Blender Benchmark 2.91.2GPU, victor (CUDA)688.2684.3reference
Blender Benchmark 2.92GPU, victor (CUDA)759.6805.1reference
Blender Benchmark 2.93.1GPU, victor (CUDA)797.7706.2reference
Blender Benchmark 2.90GPU, victor (OPTIX)620.2585.4reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)617598.2reference
Blender Benchmark 2.92GPU, victor (OPTIX)697.3—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)688.4690.1reference
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)609.6851.2reference
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)613.6883.7reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)635.2898.2reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)638849.6reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)640.9907.5reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)650.2971.3reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)602.9—no pair
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)603.5773.7reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)582.8—no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)564.1—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)632.4—no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)512.9777.5reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)486.9702.6reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)506.9685.6reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)643888.1reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)611875.8reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)601.6813reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)482.1686.9reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)474698.7reference

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

Specifications

Chip

  • GPU chip

    Ano data

    BTU116-400-A1

    no data for A
  • Architecture

    APascal

    BTuring

    differs
  • Shader units

    A2,560 (CUDA cores)

    B1,536 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,607 MHz

    B1,500 MHz

    A: 107 MHz more
  • Boost clock

    A1,733 MHz

    B1,770 MHz

    B: 37 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

    B6 GB

    A: 2 GB more
  • Memory type

    AGDDR5X

    BGDDR6

    differs
  • Memory bus

    A256 bit

    B192 bit

    A: 64 bit more
  • Memory bandwidth

    Ano data

    B288 GB/s

    no data for A

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

Power and dimensions

  • Board power

    A180 W (TDP)

    B120 W (TDP)

    A: 60 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

    Bno data

    no data for B

“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 GTX 1660 Ti have?

NVIDIA GeForce GTX 1080: 8 GB GDDR5X, 256-bit bus. NVIDIA GeForce GTX 1660 Ti: 6 GB GDDR6, 192-bit bus.

Which is faster: NVIDIA GeForce GTX 1080 or NVIDIA GeForce GTX 1660 Ti?

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

Data sources (2)
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1080, specifications of NVIDIA GeForce GTX 1660 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 3.0.1, 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 5.1.0checked November 14, 2026

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

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