Skip to content
RU

GeForce GTX 1060 vs GeForce GTX 1650: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1060

  • 6 GB GDDR5
  • 120 W
  • PSU 400 W+

July 19, 2016

BNVIDIA · Turing

NVIDIA GeForce GTX 1650

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

April 23, 2019 · $149 at launch

Short verdict

NVIDIA GeForce GTX 1650 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 1060GeForce GTX 1650 →
  • Rendering and compute

    B +23.5%

    NVIDIA GeForce GTX 1650 leads in this scenario (up to 23.5% 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 1060 is better2

  • Video memory 2 GB more6 GB vs 4 GB

  • Memory bus 64 bit more192 bit vs 128 bit

Where GeForce GTX 1650 is better2

  • Blender Benchmark 3.1.0 23.5% faster475 samples/min vs 384 samples/min

  • Board power 45 W lower75 W (board power) vs 120 W (board power)

Benchmarks

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

  • Blender Benchmark 2.82

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

    3.7% difference, within the threshold

    Position among tested models (23, CUDA)

    B · 149A · 155
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 3.7% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1060

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

    Blender Open Data (Blender Foundation)

    Median of 26 submissions (4 outliers excluded), interquartile range 152.99–157.63; submissions 2020-02-26 to 2020-06-06; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1650

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

    Blender Open Data (Blender Foundation)

    Median of 40 submissions (7 outliers excluded), interquartile range 147.8–152.54; submissions 2020-02-21 to 2020-06-07; 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

    4.3% difference, within the threshold

    Position among tested models (25, CUDA)

    B · 541A · 564
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 4.3% difference is below the noticeable threshold (5%).

    About the measurement and source
    A · NVIDIA GeForce GTX 1060

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

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (5 outliers excluded), interquartile range 558.22–592.6; submissions 2020-09-04 to 2021-01-24; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1650

    540.8 s · community measurement, sample 63 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 63 submissions (9 outliers excluded), interquartile range 528.23–552.69; submissions 2020-09-03 to 2021-08-24; 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 3.1.0

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

    B ahead by 23.5%

    Position among tested models (38, OptiX)

    A · 384B · 475
    02,0004,0006,0008,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce GTX 1650 is ahead by 23.5% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1060

    384.3 samples/min · community measurement, sample 24 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (4 outliers excluded), interquartile range 362.1–392.78; submissions 2022-03-10 to 2022-06-27; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1650

    474.7 samples/min · community measurement, sample 41 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 41 submissions (8 outliers excluded), interquartile range 459.78–486.19; submissions 2022-03-10 to 2022-06-11; 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.

Reference results (108)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)1,530.4—no pair
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,531.31,732.3reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)154.6147.7reference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)153.1147.5reference
Blender Benchmark 2.83GPU, bmw27 (CUDA)157.7153.3reference
Blender Benchmark 2.90GPU, bmw27 (CUDA)167.5158.3reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)156.2157.6reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)155156.3reference
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)134.1134.4reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)169.2130.3reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)175.6126.2reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)166.2127.4reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)167.8133.9reference
Blender Benchmark 2.81GPU, classroom (CUDA)555.1—no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)543.4538.9reference
Blender Benchmark 2.82GPU, classroom (CUDA)548.4516.2reference
Blender Benchmark 2.83GPU, classroom (CUDA)561.6536.1reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)524.1549.2reference
Blender Benchmark 2.92GPU, classroom (CUDA)531.6572reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)485.5493.7reference
Blender Benchmark 2.90GPU, classroom (OPTIX)586.4499.4reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)623.5517.5reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)314.5324.2reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)308.3277.5reference
Blender Benchmark 2.82GPU, fishy_cat (CUDA)316.9283.1reference
Blender Benchmark 2.83GPU, fishy_cat (CUDA)321.8294.8reference
Blender Benchmark 2.90GPU, fishy_cat (CUDA)322.9302reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)297.5289.1reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)309307.4reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)309.1282.2reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)330253.8reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)327.5271.6reference
Blender Benchmark 2.81GPU, koro (CUDA)606.7—no pair
Blender Benchmark 2.81aGPU, koro (CUDA)610.4483reference
Blender Benchmark 2.82GPU, koro (CUDA)605.8472.3reference
Blender Benchmark 2.83GPU, koro (CUDA)595.9499.5reference
Blender Benchmark 2.90GPU, koro (CUDA)541.2485.1reference
Blender Benchmark 2.91.2GPU, koro (CUDA)523.3457.8reference
Blender Benchmark 2.92GPU, koro (CUDA)543.5502.7reference
Blender Benchmark 2.93.1GPU, koro (CUDA)544.6437.8reference
Blender Benchmark 2.90GPU, koro (OPTIX)379.6319.9reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)379.3336.3reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)888.4867.5reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)867.8924.5reference
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)874.2894.6reference
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)895.9905.8reference
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)926.8942.6reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)831891.3reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)880.4911reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)816.9796.1reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)891.7722.4reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)906.3753.6reference
Blender Benchmark 2.81GPU, victor (CUDA)1,781.5—no pair
Blender Benchmark 2.81aGPU, victor (CUDA)1,463.51,360.8reference
Blender Benchmark 2.82GPU, victor (CUDA)1,505.31,373reference
Blender Benchmark 2.83GPU, victor (CUDA)1,591.51,376.7reference
Blender Benchmark 2.90GPU, victor (CUDA)1,238.91,426.6reference
Blender Benchmark 2.91.2GPU, victor (CUDA)1,298.81,885.3reference
Blender Benchmark 2.92GPU, victor (CUDA)2,037.21,640reference
Blender Benchmark 2.93.1GPU, victor (CUDA)1,255.71,565.5reference
Blender Benchmark 2.90GPU, victor (OPTIX)1,234.91,073.5reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)1,329.11,437.1reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)357.7467.7reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)450.2457.1reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)335.1497.2reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)434.4489.7reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)454528.8reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)447439.3reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)428.5501.2reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)413.2513.4reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)352.2498.5reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)345.2438.5reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)349.3424reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)289391.6reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)255364.1reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)413.7508.8reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)388.8488.5reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)378.8448.8reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)378.8433.3reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)383429.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)390.6470reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)376.6476.8reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)362.4428.9reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)358.1429.3reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)347.4442.7reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)356.5428.4reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)310.1356.4reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)—156.1no pair
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)—137.3no pair
Blender Benchmark 2.90.1GPU, classroom (CUDA)—571.1no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)—486.7no pair
Blender Benchmark 2.92GPU, classroom (OPTIX)—472.9no pair
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)—294.8no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)—240.2no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)—258.8no pair
Blender Benchmark 2.90.1GPU, koro (CUDA)—472.8no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)—298no pair
Blender Benchmark 2.92GPU, koro (OPTIX)—389.5no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)—915.7no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)—702.6no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)—750.6no pair
Blender Benchmark 2.90.1GPU, victor (CUDA)—1,215.8no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)—1,068no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—454.8no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—530.9no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—419.7no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—522.7no pair
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—417no pair

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

Specifications

Chip

  • Architecture

    APascal

    BTuring

    differs
  • Shader units

    A1,280 (CUDA cores)

    B896 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,506 MHz

    B1,485 MHz

    A: 21 MHz more
  • Boost clock

    A1,708 MHz

    B1,665 MHz

    A: 43 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

    A6 GB

    B4 GB

    A: 2 GB more
  • Memory type

    AGDDR5

    BGDDR5

    equal
  • Memory bus

    A192 bit

    B128 bit

    A: 64 bit more
  • Memory bandwidth

    A192 GB/s

    Bno data

    no data for B

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

Power and dimensions

  • Board power

    A120 W (board power)

    B75 W (board power)

    A: 45 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.

  • Recommended PSU

    A400 W

    B300 W

    A: 100 W higher
  • Interface

    APCIe 3.0

    BPCIe 3.0

    equal
  • Length (reference / Founders Edition)

    A250 mm

    B130 mm

    A: 120 mm higher

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    A2

    B2

    equal
  • Power connectors (reference)

    A1x 6-pin

    B1x 6-pin

    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 1060 and NVIDIA GeForce GTX 1650 have?

NVIDIA GeForce GTX 1060: 6 GB GDDR5, 192-bit bus. NVIDIA GeForce GTX 1650: 4 GB GDDR5, 128-bit bus.

What power supply does the manufacturer recommend?

For NVIDIA GeForce GTX 1060, 400 W or more; for NVIDIA GeForce GTX 1650, 300 W or more. This is a recommendation for a typical system; also check the power connectors of the specific card model.

Which PCIe interface do the cards use?

NVIDIA GeForce GTX 1060: PCIe 3.0. NVIDIA GeForce GTX 1650: PCIe 3.0.

Which is faster: NVIDIA GeForce GTX 1060 or NVIDIA GeForce GTX 1650?

NVIDIA GeForce GTX 1650 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 1060, specifications of NVIDIA GeForce GTX 1650checked November 7, 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 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.6.0, 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 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026
  • Wikipedia (English) — release date and launch pricechecked November 14, 2026

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

TelegramVK