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GeForce GTX 1070 Ti vs GeForce GTX 980 Ti: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1070 Ti

  • 8 GB GDDR5
  • 180 W

November 2, 2017 · $399 at launch

BNVIDIA · Maxwell

NVIDIA GeForce GTX 980 Ti

  • 6 GB GDDR5
  • 250 W

June 2, 2015 · $649 at launch

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 980 Ti →
  • Rendering and compute

    A +47%

    NVIDIA GeForce GTX 1070 Ti leads in this scenario (up to 47% 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 better7

  • Blender Benchmark 2.90 5.1% lower294 s vs 308 s

  • Blender Benchmark 2.90 24.3% lower296 s vs 368 s

  • Blender Benchmark 2.90 47% lower693 s vs 1,018 s

  • Blender Benchmark 3.4.0 14.3% faster640 samples/min vs 560 samples/min

  • Video memory 2 GB more8 GB vs 6 GB

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

  • Launch price $250 lower$399 vs $649

Where GeForce GTX 980 Ti is better2

  • Memory bus 128 bit more384 bit vs 256 bit

  • Memory bandwidth 80.3 GB/s more336.6 GB/s vs 256.3 GB/s

Benchmarks

Results are compared within one benchmark, one version and the same conditions.

  • Blender Benchmark 2.90

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

    0.4% difference, within the threshold

    Position among tested models (27, CUDA)

    B · 96A · 96
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 0.4% difference is below the noticeable threshold (5%).

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

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

    Blender Open Data (Blender Foundation)

    Median of 75 submissions (10 outliers excluded), interquartile range 94.51–97.63; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 980 Ti

    95.8 s · community measurement, sample 38 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 38 submissions (6 outliers excluded), interquartile range 93.94–99.12; submissions 2020-09-06 to 2021-06-01; 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

    A ahead by 5.1%

    Position among tested models (25, CUDA)

    A · 294B · 308
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1070 Ti is ahead by 5.1% 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 980 Ti

    308.5 s · community measurement, sample 33 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 33 submissions (4 outliers excluded), interquartile range 295.78–316.04; submissions 2020-09-06 to 2021-02-01; 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, fishy_cat (CUDA) · s, lower is better

    4.2% difference, within the threshold

    Position among tested models (22, CUDA)

    A · 188B · 195
    0200400600
    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

    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 980 Ti

    195.4 s · community measurement, sample 30 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 30 submissions (4 outliers excluded), interquartile range 193.05–203.58; submissions 2020-09-06 to 2021-02-01; 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, koro (CUDA) · s, lower is better

    A ahead by 24.3%

    Position among tested models (22, CUDA)

    A · 296B · 368
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1070 Ti is ahead by 24.3% 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 980 Ti

    368.1 s · community measurement, sample 27 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (3 outliers excluded), interquartile range 363.27–383.13; submissions 2020-09-06 to 2021-02-01; 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, pavillon_barcelona (CUDA) · s, lower is better

    1% difference, within the threshold

    Position among tested models (23, CUDA)

    B · 498A · 503
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 1% 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 980 Ti

    497.8 s · community measurement, sample 27 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (3 outliers excluded), interquartile range 483.58–510.64; submissions 2020-09-06 to 2021-02-01; 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, victor (CUDA) · s, lower is better

    A ahead by 47%

    Position among tested models (20, CUDA)

    A · 693B · 1,018
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1070 Ti is ahead by 47% 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 980 Ti

    1,018.5 s · community measurement, sample 24 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (4 outliers excluded), interquartile range 998.23–1095.03; submissions 2020-09-06 to 2021-02-01; 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 3.4.0

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

    A ahead by 14.3%

    Position among tested models (43, OptiX)

    B · 560A · 640
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce GTX 1070 Ti is ahead by 14.3% in this benchmark.

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

    639.7 samples/min · community measurement, sample 42 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 42 submissions (9 outliers excluded), interquartile range 630.75–653.18; submissions 2022-12-08 to 2023-04-12; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 980 Ti

    559.7 samples/min · community measurement, sample 20 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (3 outliers excluded), interquartile range 520.75–576.54; submissions 2023-01-03 to 2023-03-19; 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 (4)
BenchmarkABDifference
Blender Benchmark 2.82GPU, bmw27 (CUDA)8892.2A +4.8%
Blender Benchmark 2.83GPU, bmw27 (CUDA)89.394.2A +5.5%
Blender Benchmark 2.83GPU, classroom (CUDA)286.1303.8A +6.2%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)633.8545.1A +16.3%

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

Reference results (84)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)802.3—no pair
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)802.91,009.5reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)88.494.2reference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)86.892.9reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)89.7109.3reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)89.9115.8reference
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)77.774.9reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)90104.6reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)88.9—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)89.594.7reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)91.7100.9reference
Blender Benchmark 2.81GPU, classroom (CUDA)286.5303.8reference
Blender Benchmark 2.81aGPU, classroom (CUDA)284.4299.4reference
Blender Benchmark 2.82GPU, classroom (CUDA)285.5295.8reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)274.6291.6reference
Blender Benchmark 2.92GPU, classroom (CUDA)280296.6reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)253.8257.6reference
Blender Benchmark 2.90GPU, classroom (OPTIX)325.3347.5reference
Blender Benchmark 2.92GPU, classroom (OPTIX)338.1400.9reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)328.2469reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)176.7199.7reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)178.2204.2reference
Blender Benchmark 2.82GPU, fishy_cat (CUDA)182.2202.4reference
Blender Benchmark 2.83GPU, fishy_cat (CUDA)180.9201.2reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)176.6233.4reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)178.1280.9reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)181.7243.7reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)168.7214.6reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)175222.7reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)178.8273.2reference
Blender Benchmark 2.81GPU, koro (CUDA)340.9—no pair
Blender Benchmark 2.81aGPU, koro (CUDA)341.7452.9reference
Blender Benchmark 2.82GPU, koro (CUDA)338441.8reference
Blender Benchmark 2.83GPU, koro (CUDA)327.8448.1reference
Blender Benchmark 2.91.2GPU, koro (CUDA)291.9433.8reference
Blender Benchmark 2.92GPU, koro (CUDA)295.3704.4reference
Blender Benchmark 2.93.1GPU, koro (CUDA)300.5432.4reference
Blender Benchmark 2.90GPU, koro (OPTIX)195.9218.8reference
Blender Benchmark 2.92GPU, koro (OPTIX)281.2—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)206.8—no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)480.4—no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)472.5501.7reference
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)474.3482.7reference
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)485.9498.5reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)471.7553.6reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)483.3622.5reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)447.2424.8reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)475.9504.7reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)491.7—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)501.4—no pair
Blender Benchmark 2.81GPU, victor (CUDA)773—no pair
Blender Benchmark 2.81aGPU, victor (CUDA)750.11,256.3reference
Blender Benchmark 2.82GPU, victor (CUDA)714.31,235.3reference
Blender Benchmark 2.83GPU, victor (CUDA)690.61,105.1reference
Blender Benchmark 2.91.2GPU, victor (CUDA)668.2997.4reference
Blender Benchmark 2.92GPU, victor (CUDA)745.51,290.8reference
Blender Benchmark 2.93.1GPU, victor (CUDA)734.51,351.2reference
Blender Benchmark 2.90GPU, victor (OPTIX)650.3898.6reference
Blender Benchmark 2.92GPU, victor (OPTIX)751.1—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)701.6—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)687.1597.2reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)674.9—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)652.1—no pair
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)663.7—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)684706.5reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)592.8533reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)591.6504.6reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)495404.9reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)513.6443reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)658.3592.4reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)662.6553.2reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)614.7542.3reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)635.3526.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)662.4549reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)635.4576.1reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)596.6533.5reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)599.7501.6reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)590.9504.8reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)587.9483.2reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)506.8449.5reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)—104.5no pair
Blender Benchmark 2.90.1GPU, classroom (CUDA)—339.9no pair
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—189.4no pair

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

Specifications

Chip

  • GPU chip

    AGP104-300-A1

    BGM200-310-A1

    differs
  • Architecture

    APascal

    BMaxwell

    differs
  • Shader units

    A2,432 (CUDA cores)

    B2,816 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,607 MHz

    B1,000 MHz

    A: 607 MHz more
  • Boost clock

    A1,683 MHz

    B1,076 MHz

    A: 607 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

    AGDDR5

    BGDDR5

    equal
  • Memory bus

    A256 bit

    B384 bit

    B: 128 bit more
  • Memory bandwidth

    A256.3 GB/s

    B336.6 GB/s

    B: 80.3 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

    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 1070 Ti and NVIDIA GeForce GTX 980 Ti have?

NVIDIA GeForce GTX 1070 Ti: 8 GB GDDR5, 256-bit bus. NVIDIA GeForce GTX 980 Ti: 6 GB GDDR5, 384-bit bus.

Which is faster: NVIDIA GeForce GTX 1070 Ti or NVIDIA GeForce GTX 980 Ti?

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 980 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 3.1.0, 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 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, 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 4.3.0, benchmark Blender Benchmark 4.4.0, 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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