Skip to content
RU

GeForce GTX 1650 vs GeForce GTX 1660 Ti: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce GTX 1650

  • 4 GB GDDR5
  • 75 W
  • PSU 300 W+

April 23, 2019 · $149 at launch

BNVIDIA · Turing

NVIDIA GeForce GTX 1660 Ti

  • 6 GB GDDR6
  • 120 W

February 21, 2019 · $279 at launch

Short verdict

NVIDIA GeForce GTX 1660 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 1650GeForce GTX 1660 Ti →
  • Rendering and compute

    B +101.1%

    NVIDIA GeForce GTX 1660 Ti leads in this scenario (up to 101.1% 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 is better1

  • Launch price $130 lower$149 vs $279

Where GeForce GTX 1660 Ti is better11

  • Blender Benchmark 2.93.1 59.7% lower84 s vs 134 s

  • Blender Benchmark 2.90 75.6% lower74 s vs 130 s

  • Blender Benchmark 2.93.1 64.4% lower300 s vs 494 s

  • Blender Benchmark 2.93.1 66.5% lower170 s vs 282 s

  • Blender Benchmark 2.90 62.8% lower298 s vs 485 s

  • Blender Benchmark 2.90 63.2% lower578 s vs 943 s

  • Blender Benchmark 2.90 101.1% lower709 s vs 1,427 s

  • Blender Benchmark 4.5.0 77.5% faster753 samples/min vs 424 samples/min

  • Shader units 640 more1,536 (CUDA cores) vs 896 (CUDA cores)

  • Video memory 2 GB more6 GB vs 4 GB

  • Memory bus 64 bit more192 bit vs 128 bit

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 59.7%

    Position among tested models (31, CUDA)

    B · 84A · 134
    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 59.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650

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

    Blender Open Data (Blender Foundation)

    Median of 76 submissions (5 outliers excluded), interquartile range 131.03–137.76; submissions 2021-07-13 to 2022-02-12; 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 75.6%

    Position among tested models (17, OptiX)

    B · 74A · 130
    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 75.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650

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

    Blender Open Data (Blender Foundation)

    Median of 23 submissions (1 outliers excluded), interquartile range 125.32–131.5; submissions 2020-09-05 to 2021-08-24; 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

    B ahead by 64.4%

    Position among tested models (26, CUDA)

    B · 300A · 494
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1660 Ti is ahead by 64.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650

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

    Blender Open Data (Blender Foundation)

    Median of 46 submissions (5 outliers excluded), interquartile range 479.05–499.89; submissions 2021-07-13 to 2022-02-12; 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 66.5%

    Position among tested models (21, CUDA)

    B · 170A · 282
    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 66.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650

    282.2 s · community measurement, sample 31 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 31 submissions (1 outliers excluded), interquartile range 269.36–300.06; submissions 2021-07-13 to 2022-02-12; 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

    B ahead by 62.8%

    Position among tested models (22, CUDA)

    B · 298A · 485
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1660 Ti is ahead by 62.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650

    485.1 s · community measurement, sample 56 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 56 submissions (2 outliers excluded), interquartile range 467.43–502.01; submissions 2020-09-03 to 2021-08-24; 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

    B ahead by 63.2%

    Position among tested models (23, CUDA)

    B · 578A · 943
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1660 Ti is ahead by 63.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650

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

    Blender Open Data (Blender Foundation)

    Median of 59 submissions (4 outliers excluded), interquartile range 916.59–971.11; submissions 2020-09-03 to 2021-08-24; 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

    B ahead by 101.1%

    Position among tested models (20, CUDA)

    B · 709A · 1,427
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1660 Ti is ahead by 101.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650

    1,426.6 s · community measurement, sample 49 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 49 submissions (7 outliers excluded), interquartile range 1314.64–1802.53; submissions 2020-09-03 to 2021-08-24; 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 77.5%

    Position among tested models (67, OptiX)

    A · 424B · 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 77.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1650

    424 samples/min · community measurement, sample 143 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 143 submissions (3 outliers excluded), interquartile range 388.63–450.69; submissions 2025-07-19 to 2026-10-11; 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 (24)
BenchmarkABDifference
Blender Benchmark 2.82GPU, bmw27 (CUDA)149.191.7B +62.6%
Blender Benchmark 2.83GPU, bmw27 (CUDA)153.392.4B +65.9%
Blender Benchmark 2.90GPU, bmw27 (CUDA)158.398.6B +60.6%
Blender Benchmark 2.92GPU, bmw27 (CUDA)156.397.3B +60.7%
Blender Benchmark 2.82GPU, classroom (CUDA)516.2322.2B +60.2%
Blender Benchmark 2.83GPU, classroom (CUDA)536.1328B +63.4%
Blender Benchmark 2.90GPU, classroom (CUDA)540.8333.4B +62.2%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)294.8177.1B +66.5%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)302185.6B +62.7%
Blender Benchmark 2.82GPU, koro (CUDA)472.3284.9B +65.8%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)894.6543.8B +64.5%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)438.5763.4B +74.1%
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)391.6702.6B +79.4%
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)364.1685.6B +88.3%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)474.7820.5B +72.9%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)448.8810.8B +80.7%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)433.3825.9B +90.6%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)429.7825.2B +92%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)470862.4B +83.5%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)476.8854.4B +79.2%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)428.9781.6B +82.2%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)429.3788.7B +83.7%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)442.7765.6B +72.9%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)428.4753.9B +76%

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

Reference results (81)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,732.31,122.6reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)147.790.5reference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)147.590.2reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)156.1—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)157.694.2reference
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)137.3—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)126.274.5reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)127.472.3reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)133.978reference
Blender Benchmark 2.81aGPU, classroom (CUDA)538.9333reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)571.1—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)549.2338.7reference
Blender Benchmark 2.92GPU, classroom (CUDA)572341.5reference
Blender Benchmark 2.90GPU, classroom (OPTIX)499.4298reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)486.7302.3reference
Blender Benchmark 2.92GPU, classroom (OPTIX)472.9289.8reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)517.5307.1reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)324.2166.2reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)277.5168.3reference
Blender Benchmark 2.82GPU, fishy_cat (CUDA)283.1173.3reference
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)294.8—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)289.1169.5reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)307.4183.9reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)253.8146.3reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)240.2148.8reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)258.8158.6reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)271.6165.4reference
Blender Benchmark 2.81aGPU, koro (CUDA)483288.5reference
Blender Benchmark 2.83GPU, koro (CUDA)499.5302.4reference
Blender Benchmark 2.90.1GPU, koro (CUDA)472.8—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)457.8275reference
Blender Benchmark 2.92GPU, koro (CUDA)502.7286.2reference
Blender Benchmark 2.93.1GPU, koro (CUDA)437.8269.1reference
Blender Benchmark 2.90GPU, koro (OPTIX)319.9182.5reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)298182reference
Blender Benchmark 2.92GPU, koro (OPTIX)389.5—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)336.3230reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)867.5548.6reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)924.5546.1reference
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)905.8546.7reference
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)915.7—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)891.3528.2reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)911538.2reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)796.1481.4reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)722.4429.1reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)702.6427reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)750.6—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)753.6454.8reference
Blender Benchmark 2.81aGPU, victor (CUDA)1,360.8718.6reference
Blender Benchmark 2.82GPU, victor (CUDA)1,373704.2reference
Blender Benchmark 2.83GPU, victor (CUDA)1,376.7708.4reference
Blender Benchmark 2.90.1GPU, victor (CUDA)1,215.8—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)1,885.3684.3reference
Blender Benchmark 2.92GPU, victor (CUDA)1,640805.1reference
Blender Benchmark 2.93.1GPU, victor (CUDA)1,565.5706.2reference
Blender Benchmark 2.90GPU, victor (OPTIX)1,073.5585.4reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)1,068598.2reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)1,437.1690.1reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)467.7—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)457.1851.2reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)454.8—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)530.9883.7reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)497.2898.2reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)489.7849.6reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)419.7907.5reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)528.8971.3reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)522.7—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)439.3—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)501.2773.7reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)513.4—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)498.5—no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)508.8888.1reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)488.5813reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)417686.9reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)356.4698.7reference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)—1,104.2no pair
Blender Benchmark 2.81GPU, classroom (CUDA)—331no pair
Blender Benchmark 2.81GPU, koro (CUDA)—286.5no pair
Blender Benchmark 2.81GPU, victor (CUDA)—712.3no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—777.5no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—875.8no pair

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

    ATuring

    BTuring

    equal
  • Shader units

    A896 (CUDA cores)

    B1,536 (CUDA cores)

    B: 640 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,485 MHz

    B1,500 MHz

    B: 15 MHz more
  • Boost clock

    A1,665 MHz

    B1,770 MHz

    B: 105 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

    AGDDR5

    BGDDR6

    differs
  • Memory bus

    A128 bit

    B192 bit

    B: 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

    A75 W (board power)

    B120 W (TDP)

    not directly comparable

    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.

  • Recommended PSU

    A300 W

    Bno data

    no data for B
  • Interface

    APCIe 3.0

    Bno data

    no data for B
  • Length (reference / Founders Edition)

    A130 mm

    Bno data

    no data for B

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    Bno data

    no data for B
  • Power connectors (reference)

    A1x 6-pin

    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 1650 and NVIDIA GeForce GTX 1660 Ti have?

NVIDIA GeForce GTX 1650: 4 GB GDDR5, 128-bit bus. NVIDIA GeForce GTX 1660 Ti: 6 GB GDDR6, 192-bit bus.

Which is faster: NVIDIA GeForce GTX 1650 or NVIDIA GeForce GTX 1660 Ti?

NVIDIA GeForce GTX 1660 Ti leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (3)
  • NVIDIA — specifications of NVIDIA GeForce GTX 1650checked November 7, 2026
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1660 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 2.90.1, 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 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 3.1.2checked November 14, 2026

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

TelegramVK