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GeForce GTX 1060 6 GB vs GeForce GTX 1650 SUPER: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1060 6 GB

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

July 19, 2016

BNVIDIA · Turing

NVIDIA GeForce GTX 1650 SUPER

  • 4 GB GDDR6
  • 100 W

November 22, 2019 · $159 at launch

Short verdict

In the available comparable benchmarks the difference is below the noticeable threshold, so no significant advantage was found.

Compare with AI
← GeForce GTX 1060 6 GBGeForce GTX 1650 SUPER →
  • Rendering and compute

    ≈ parity

    The difference in available benchmarks is below the noticeable threshold, so there is no significant advantage.

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 6 GB is better2

  • Video memory 2 GB more6 GB vs 4 GB

  • Memory bus 64 bit more192 bit vs 128 bit

Where GeForce GTX 1650 SUPER is better0

No advantages found in our data.

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

    3.7% difference, within the threshold

    Position among tested models (31, CUDA)

    B · 126A · 131
    0100200300
    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 6 GB

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

    Blender Open Data (Blender Foundation)

    Median of 38 submissions (15 outliers excluded), interquartile range 130.03–131.67; submissions 2021-07-10 to 2022-02-28; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1650 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (5 outliers excluded), interquartile range 124.97–128.98; submissions 2021-07-17 to 2022-02-25; 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.

Reference results (93)
BenchmarkABDifference
Blender Benchmark 2.81GPU, bmw27 (CUDA)150.8139.2reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)156.3—no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)154.3153reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)158.899.4reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)163.9100.5reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)519.8—no pair
Blender Benchmark 2.92GPU, classroom (CUDA)528458.3reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)473.5403.9reference
Blender Benchmark 2.92GPU, classroom (OPTIX)583.9359.3reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)613.1367.2reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)305.7288.3reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)304.2255.4reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)318.3—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)321.2181.9reference
Blender Benchmark 2.92GPU, koro (CUDA)530.6418.1reference
Blender Benchmark 2.93.1GPU, koro (CUDA)529.8386.4reference
Blender Benchmark 2.92GPU, koro (OPTIX)479.8239.2reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)368217.8reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)866.6830.2reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)797.5703.3reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)895.1545.3reference
Blender Benchmark 2.92GPU, victor (CUDA)1,599.71,510.9reference
Blender Benchmark 2.93.1GPU, victor (CUDA)1,242.12,780.5reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)1,279.1890.6reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)382.7—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)454560reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)456.1622.8reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)429.8—no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)471.9—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)366.4556.6reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)360.7554.8reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)283.7478.2reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)316.2462.8reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)445.9645.3reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)392.8580.4reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)388.5542.5reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)383.3560.6reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)392.5562.8reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)388.2452.9reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)391.2603.2reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)390.9577.1reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)370.1526.3reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)368.4564.4reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)359.7540reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)360.5540.9reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)294.6472.3reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)308.2521.1reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)—1,216.2no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)—137.7no pair
Blender Benchmark 2.82GPU, bmw27 (CUDA)—142no pair
Blender Benchmark 2.83GPU, bmw27 (CUDA)—141.2no pair
Blender Benchmark 2.90GPU, bmw27 (CUDA)—155.3no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)—151.5no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)—96.4no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)—94.6no pair
Blender Benchmark 2.81GPU, classroom (CUDA)—638.3no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)—453.8no pair
Blender Benchmark 2.82GPU, classroom (CUDA)—438no pair
Blender Benchmark 2.83GPU, classroom (CUDA)—432.9no pair
Blender Benchmark 2.90GPU, classroom (CUDA)—457.9no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)—456.6no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)—340.7no pair
Blender Benchmark 2.81GPU, fishy_cat (CUDA)—430.9no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)—243.1no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)—256.6no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)—260.5no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)—279.8no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)—263.5no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)—180.9no pair
Blender Benchmark 2.81GPU, koro (CUDA)—704.3no pair
Blender Benchmark 2.81aGPU, koro (CUDA)—391.4no pair
Blender Benchmark 2.82GPU, koro (CUDA)—391.2no pair
Blender Benchmark 2.83GPU, koro (CUDA)—418.3no pair
Blender Benchmark 2.90GPU, koro (CUDA)—436.3no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)—405.6no pair
Blender Benchmark 2.90GPU, koro (OPTIX)—218.9no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)—1,367.5no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)—782.1no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)—791.5no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)—795.8no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)—859.5no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)—803.3no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)—528.3no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)—546.5no pair
Blender Benchmark 2.81GPU, victor (CUDA)—2,390.4no pair
Blender Benchmark 2.82GPU, victor (CUDA)—1,927.6no pair
Blender Benchmark 2.83GPU, victor (CUDA)—2,197.9no pair
Blender Benchmark 2.90GPU, victor (CUDA)—1,909.2no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)—1,483no pair
Blender Benchmark 2.90GPU, victor (OPTIX)—759.5no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—516.2no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—550.4no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—604.7no pair

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

Specifications

Chip

  • GPU chip

    Ano data

    BTU116-250-KA-A1

    no data for A
  • Architecture

    APascal

    BTuring

    differs
  • Shader units

    A1,280 (CUDA cores)

    B1,280 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,506 MHz

    B1,530 MHz

    B: 24 MHz more
  • Boost clock

    A1,708 MHz

    B1,725 MHz

    B: 17 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

    BGDDR6

    differs
  • Memory bus

    A192 bit

    B128 bit

    A: 64 bit more
  • Memory bandwidth

    A192 GB/s

    B192 GB/s

    equal

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

Power and dimensions

  • Board power

    A120 W (board power)

    B100 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

    A400 W

    Bno data

    no data for B
  • Interface

    APCIe 3.0

    Bno data

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

    A250 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 1060 6 GB and NVIDIA GeForce GTX 1650 SUPER have?

NVIDIA GeForce GTX 1060 6 GB: 6 GB GDDR5, 192-bit bus. NVIDIA GeForce GTX 1650 SUPER: 4 GB GDDR6, 128-bit bus.

Which is faster: NVIDIA GeForce GTX 1060 6 GB or NVIDIA GeForce GTX 1650 SUPER?

In the available comparable benchmarks the difference is below the noticeable threshold, so no significant advantage was found.

Data sources (3)
  • NVIDIA — specifications of NVIDIA GeForce GTX 1060 6 GBchecked November 7, 2026
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1650 SUPER, 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 2.90.1, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.2.0, 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 3.6.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, 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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