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GeForce GTX 1650 SUPER vs GeForce GTX 980 Ti: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce GTX 1650 SUPER

  • 4 GB GDDR6
  • 100 W

November 22, 2019 · $159 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 980 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 1650 SUPERGeForce GTX 980 Ti →
  • Rendering and compute

    B +72.7%

    NVIDIA GeForce GTX 980 Ti leads in this scenario (up to 72.7% 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 1650 SUPER is better2

  • Board power 150 W lower100 W (TDP) vs 250 W (TDP)

  • Launch price $490 lower$159 vs $649

Where GeForce GTX 980 Ti is better8

  • Blender Benchmark 2.90 62.1% lower96 s vs 155 s

  • Blender Benchmark 2.90 48.4% lower308 s vs 458 s

  • Blender Benchmark 2.90 43.1% lower195 s vs 280 s

  • Blender Benchmark 2.90 18.5% lower368 s vs 436 s

  • Blender Benchmark 2.90 72.7% lower498 s vs 859 s

  • Video memory 2 GB more6 GB vs 4 GB

  • Memory bus 256 bit more384 bit vs 128 bit

  • Memory bandwidth 144.6 GB/s more336.6 GB/s vs 192 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

    B ahead by 62.1%

    Position among tested models (27, CUDA)

    B · 96A · 155
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 980 Ti is ahead by 62.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650 SUPER

    155.3 s · community measurement, sample 48 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 48 submissions (3 outliers excluded), interquartile range 151.89–157.88; submissions 2020-09-03 to 2021-06-21; 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

    B ahead by 48.4%

    Position among tested models (25, CUDA)

    B · 308A · 458
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 980 Ti is ahead by 48.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (1 outliers excluded), interquartile range 449.24–463.14; submissions 2020-09-03 to 2021-01-18; 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

    B ahead by 43.1%

    Position among tested models (22, CUDA)

    B · 195A · 280
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 980 Ti is ahead by 43.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (1 outliers excluded), interquartile range 275.58–282.32; submissions 2020-09-03 to 2021-01-18; 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

    B ahead by 18.5%

    Position among tested models (22, CUDA)

    B · 368A · 436
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 980 Ti is ahead by 18.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (0 outliers excluded), interquartile range 429.7–442.75; submissions 2020-09-03 to 2021-01-18; 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

    B ahead by 72.7%

    Position among tested models (23, CUDA)

    B · 498A · 859
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 980 Ti is ahead by 72.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 22 submissions (2 outliers excluded), interquartile range 843.62–871.67; submissions 2020-09-03 to 2021-01-18; 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.

Other comparable benchmarks (3)
BenchmarkABDifference
Blender Benchmark 2.82GPU, bmw27 (CUDA)14292.2B +54.1%
Blender Benchmark 2.83GPU, bmw27 (CUDA)141.294.2B +49.9%
Blender Benchmark 2.83GPU, classroom (CUDA)432.9303.8B +42.5%

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

Reference results (86)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,216.21,009.5reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)139.294.2reference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)137.792.9reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)151.5109.3reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)153115.8reference
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)126.274.9reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)96.4104.6reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)94.6—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)99.494.7reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)100.5100.9reference
Blender Benchmark 2.81GPU, classroom (CUDA)638.3303.8reference
Blender Benchmark 2.81aGPU, classroom (CUDA)453.8299.4reference
Blender Benchmark 2.82GPU, classroom (CUDA)438295.8reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)456.6291.6reference
Blender Benchmark 2.92GPU, classroom (CUDA)458.3296.6reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)403.9257.6reference
Blender Benchmark 2.90GPU, classroom (OPTIX)340.7347.5reference
Blender Benchmark 2.92GPU, classroom (OPTIX)359.3400.9reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)367.2469reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)430.9199.7reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)243.1204.2reference
Blender Benchmark 2.82GPU, fishy_cat (CUDA)256.6202.4reference
Blender Benchmark 2.83GPU, fishy_cat (CUDA)260.5201.2reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)263.5233.4reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)288.3280.9reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)255.4243.7reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)180.9214.6reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)181.9273.2reference
Blender Benchmark 2.81GPU, koro (CUDA)704.3—no pair
Blender Benchmark 2.81aGPU, koro (CUDA)391.4452.9reference
Blender Benchmark 2.82GPU, koro (CUDA)391.2441.8reference
Blender Benchmark 2.83GPU, koro (CUDA)418.3448.1reference
Blender Benchmark 2.91.2GPU, koro (CUDA)405.6433.8reference
Blender Benchmark 2.92GPU, koro (CUDA)418.1704.4reference
Blender Benchmark 2.93.1GPU, koro (CUDA)386.4432.4reference
Blender Benchmark 2.90GPU, koro (OPTIX)218.9218.8reference
Blender Benchmark 2.92GPU, koro (OPTIX)239.2—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)217.8—no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)1,367.5—no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)782.1501.7reference
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)791.5482.7reference
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)795.8498.5reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)803.3553.6reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)830.2622.5reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)703.3424.8reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)528.3504.7reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)546.5—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)545.3—no pair
Blender Benchmark 2.81GPU, victor (CUDA)2,390.4—no pair
Blender Benchmark 2.82GPU, victor (CUDA)1,927.61,235.3reference
Blender Benchmark 2.83GPU, victor (CUDA)2,197.91,105.1reference
Blender Benchmark 2.90GPU, victor (CUDA)1,909.21,018.5reference
Blender Benchmark 2.91.2GPU, victor (CUDA)1,483997.4reference
Blender Benchmark 2.92GPU, victor (CUDA)1,510.91,290.8reference
Blender Benchmark 2.93.1GPU, victor (CUDA)2,780.51,351.2reference
Blender Benchmark 2.90GPU, victor (OPTIX)759.5898.6reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)890.6—no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)516.2—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)550.4597.2reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)560—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)622.8—no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)604.7—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)556.6533reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)554.8504.6reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)478.2404.9reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)462.8443reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)645.3592.4reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)580.4545.1reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)542.5553.2reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)560.6542.3reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)562.8526.7reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)452.9559.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)603.2549reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)577.1576.1reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)526.3533.5reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)564.4501.6reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)540504.8reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)540.9483.2reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)472.3—no pair
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)521.1449.5reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)—104.5no pair
Blender Benchmark 2.90.1GPU, classroom (CUDA)—339.9no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)—222.7no pair
Blender Benchmark 2.81aGPU, victor (CUDA)—1,256.3no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—706.5no 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

    ATU116-250-KA-A1

    BGM200-310-A1

    differs
  • Architecture

    ATuring

    BMaxwell

    differs
  • Shader units

    A1,280 (CUDA cores)

    B2,816 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,530 MHz

    B1,000 MHz

    A: 530 MHz more
  • Boost clock

    A1,725 MHz

    B1,076 MHz

    A: 649 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

    A4 GB

    B6 GB

    B: 2 GB more
  • Memory type

    AGDDR6

    BGDDR5

    differs
  • Memory bus

    A128 bit

    B384 bit

    B: 256 bit more
  • Memory bandwidth

    A192 GB/s

    B336.6 GB/s

    B: 144.6 GB/s more

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

Power and dimensions

  • Board power

    A100 W (TDP)

    B250 W (TDP)

    B: 150 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.

“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 1650 SUPER and NVIDIA GeForce GTX 980 Ti have?

NVIDIA GeForce GTX 1650 SUPER: 4 GB GDDR6, 128-bit bus. NVIDIA GeForce GTX 980 Ti: 6 GB GDDR5, 384-bit bus.

Which is faster: NVIDIA GeForce GTX 1650 SUPER or NVIDIA GeForce GTX 980 Ti?

NVIDIA GeForce GTX 980 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 1650 SUPER, specifications of NVIDIA GeForce GTX 980 Ti, release date and launch pricechecked November 14, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.81, 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 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.4.0, 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 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 5.0.0, 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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