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GeForce GTX 1060 3 GB vs GeForce GTX 1650: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1060 3 GB

  • 3 GB GDDR5
  • 120 W

August 18, 2016 · $199 at launch

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 1060 3 GBGeForce GTX 1650 →
  • Rendering and compute

    B +54.9%

    NVIDIA GeForce GTX 1650 leads in this scenario (up to 54.9% 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 3 GB is better1

  • Memory bus 64 bit more192 bit vs 128 bit

Where GeForce GTX 1650 is better3

  • Blender Benchmark 4.5.0 54.9% faster424 samples/min vs 274 samples/min

  • Video memory 1 GB more4 GB vs 3 GB

  • Launch price $50 lower$149 vs $199

Benchmarks

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

  • Blender Benchmark 4.5.0

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

    B ahead by 54.9%

    Position among tested models (67, OptiX)

    A · 274B · 424
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce GTX 1650 is ahead by 54.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1060 3 GB

    273.7 samples/min · community measurement, sample 30 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 30 submissions (1 outliers excluded), interquartile range 261.53–284.14; submissions 2025-07-18 to 2026-01-30; OPTIX backend. Snapshot 2026-11-14.

    B · 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.

    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 (107)
BenchmarkABDifference
Blender Benchmark 2.92GPU, bmw27 (CUDA)160.2156.3reference
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)139.4134.4reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)179.7127.4reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)183.4133.9reference
Blender Benchmark 2.92GPU, classroom (CUDA)516.2572reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)479.5493.7reference
Blender Benchmark 2.92GPU, classroom (OPTIX)647.7472.9reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)316.2307.4reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)325.3282.2reference
Blender Benchmark 2.92GPU, koro (CUDA)528.5502.7reference
Blender Benchmark 2.93.1GPU, koro (CUDA)553.3437.8reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)884.3911reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)832796.1reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)936.5750.6reference
Blender Benchmark 2.93.1GPU, victor (CUDA)22,9221,565.5reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)387.4489.7reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)357.4—no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)263.2391.6reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)232.8364.1reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)314.3474.7reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)251.1448.8reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)258.8433.3reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)291.6429.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)295.6470reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)305.6476.8reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)299.6428.9reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)331.8429.3reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)273.3428.4reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)184.6417reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)204356.4reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)—1,732.3no pair
Blender Benchmark 2.81GPU, bmw27 (CUDA)—147.7no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)—147.5no pair
Blender Benchmark 2.82GPU, bmw27 (CUDA)—149.1no pair
Blender Benchmark 2.83GPU, bmw27 (CUDA)—153.3no pair
Blender Benchmark 2.90GPU, bmw27 (CUDA)—158.3no pair
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)—156.1no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)—157.6no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)—130.3no pair
Blender Benchmark 2.90.1GPU, bmw27 (OPTIX)—137.3no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)—126.2no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)—538.9no pair
Blender Benchmark 2.82GPU, classroom (CUDA)—516.2no pair
Blender Benchmark 2.83GPU, classroom (CUDA)—536.1no pair
Blender Benchmark 2.90GPU, classroom (CUDA)—540.8no pair
Blender Benchmark 2.90.1GPU, classroom (CUDA)—571.1no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)—549.2no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)—499.4no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)—486.7no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)—517.5no pair
Blender Benchmark 2.81GPU, fishy_cat (CUDA)—324.2no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)—277.5no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)—283.1no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)—294.8no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)—302no pair
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)—294.8no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)—289.1no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)—253.8no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)—240.2no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)—258.8no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)—271.6no pair
Blender Benchmark 2.81aGPU, koro (CUDA)—483no pair
Blender Benchmark 2.82GPU, koro (CUDA)—472.3no pair
Blender Benchmark 2.83GPU, koro (CUDA)—499.5no pair
Blender Benchmark 2.90GPU, koro (CUDA)—485.1no pair
Blender Benchmark 2.90.1GPU, koro (CUDA)—472.8no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)—457.8no pair
Blender Benchmark 2.90GPU, koro (OPTIX)—319.9no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)—298no pair
Blender Benchmark 2.92GPU, koro (OPTIX)—389.5no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)—336.3no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)—867.5no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)—924.5no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)—894.6no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)—905.8no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)—942.6no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)—915.7no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)—891.3no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)—722.4no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)—702.6no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)—753.6no pair
Blender Benchmark 2.81aGPU, victor (CUDA)—1,360.8no pair
Blender Benchmark 2.82GPU, victor (CUDA)—1,373no pair
Blender Benchmark 2.83GPU, victor (CUDA)—1,376.7no pair
Blender Benchmark 2.90GPU, victor (CUDA)—1,426.6no pair
Blender Benchmark 2.90.1GPU, victor (CUDA)—1,215.8no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)—1,885.3no pair
Blender Benchmark 2.92GPU, victor (CUDA)—1,640no pair
Blender Benchmark 2.90GPU, victor (OPTIX)—1,073.5no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)—1,068no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)—1,437.1no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—467.7no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—457.1no 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 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—497.2no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—419.7no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—528.8no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—522.7no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—439.3no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—501.2no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—513.4no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—498.5no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—438.5no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—508.8no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—488.5no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—442.7no pair

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

Specifications

Chip

  • Architecture

    APascal

    BTuring

    differs
  • Shader units

    A1,152 (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

    A3 GB

    B4 GB

    B: 1 GB more
  • Memory type

    AGDDR5

    BGDDR5

    equal
  • Memory bus

    A192 bit

    B128 bit

    A: 64 bit more
  • Memory bandwidth

    A192.2 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 (TDP)

    B75 W (board power)

    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

    Ano data

    B300 W

    no data for A
  • Interface

    APCIe 3.0 x16

    BPCIe 3.0

    differs
  • Length (reference / Founders Edition)

    Ano data

    B130 mm

    no data for A

    Partner cards have different dimensions; check the specific SKU.

  • Thickness (slots)

    Ano data

    B2

    no data for A
  • Power connectors (reference)

    Ano data

    B1x 6-pin

    no data for A

“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 3 GB and NVIDIA GeForce GTX 1650 have?

NVIDIA GeForce GTX 1060 3 GB: 3 GB GDDR5, 192-bit bus. NVIDIA GeForce GTX 1650: 4 GB GDDR5, 128-bit bus.

Which PCIe interface do the cards use?

NVIDIA GeForce GTX 1060 3 GB: PCIe 3.0 x16. NVIDIA GeForce GTX 1650: PCIe 3.0.

Which is faster: NVIDIA GeForce GTX 1060 3 GB 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)
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1060 3 GB, release date and launch pricechecked November 14, 2026
  • NVIDIA — specifications of NVIDIA GeForce GTX 1650checked November 7, 2026
  • Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, 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 3.4.0, benchmark Blender Benchmark 5.2.0, 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 3.5.0, 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 5.1.1, benchmark Blender Benchmark 4.4.0, 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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