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GeForce GTX 1650 SUPER vs GeForce GTX 1650 Ti Laptop GPU: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce GTX 1650 SUPER

  • 4 GB GDDR6
  • 100 W

November 22, 2019 · $159 at launch

BNVIDIA · Turing

NVIDIA GeForce GTX 1650 Ti Laptop GPU

  • 4 GB GDDR6
  • 55 W

April 2, 2020

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 1650 SUPERGeForce GTX 1650 Ti Laptop GPU →
  • 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 1650 SUPER is better1

  • Shader units 256 more1,280 (CUDA cores) vs 1,024 (CUDA cores)

Where GeForce GTX 1650 Ti Laptop GPU is better1

  • Board power 45 W lower55 W (TDP) vs 100 W (TDP)

Benchmarks

Results are compared within one benchmark, one version and the same conditions. Laptop chip results depend on the laptop model: its maker sets the power limit and cooling.

  • Blender Benchmark 2.90

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

    2.7% difference, within the threshold

    Position among tested models (27, CUDA)

    A · 155B · 159
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    The 2.7% difference is below the noticeable threshold (5%).

    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 1650 Ti Laptop GPU

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

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (2 outliers excluded), interquartile range 155.16–160.43; submissions 2020-09-04 to 2021-04-28; 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 (92)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,216.2—no pair
Blender Benchmark 2.81GPU, bmw27 (CUDA)139.2—no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)137.7—no pair
Blender Benchmark 2.82GPU, bmw27 (CUDA)142402.6reference
Blender Benchmark 2.83GPU, bmw27 (CUDA)141.2142.7reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)151.5157.1reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)153150.5reference
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)126.2133.3reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)96.4117.9reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)94.6133.1reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)99.4118.7reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)100.5120reference
Blender Benchmark 2.81GPU, classroom (CUDA)638.3—no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)453.8—no pair
Blender Benchmark 2.82GPU, classroom (CUDA)4381,373.8reference
Blender Benchmark 2.83GPU, classroom (CUDA)432.9503.5reference
Blender Benchmark 2.90GPU, classroom (CUDA)457.9535.6reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)456.6683.3reference
Blender Benchmark 2.92GPU, classroom (CUDA)458.3534.4reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)403.9467.7reference
Blender Benchmark 2.90GPU, classroom (OPTIX)340.7679reference
Blender Benchmark 2.92GPU, classroom (OPTIX)359.3—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)367.2528.5reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)430.9—no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)243.1—no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)256.6720.7reference
Blender Benchmark 2.83GPU, fishy_cat (CUDA)260.5361.3reference
Blender Benchmark 2.90GPU, fishy_cat (CUDA)279.8297.1reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)263.5309.4reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)288.3271.5reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)255.4279.8reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)180.9232.8reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)181.9233.6reference
Blender Benchmark 2.81GPU, koro (CUDA)704.3—no pair
Blender Benchmark 2.81aGPU, koro (CUDA)391.4—no pair
Blender Benchmark 2.82GPU, koro (CUDA)391.21,126.9reference
Blender Benchmark 2.83GPU, koro (CUDA)418.3469.2reference
Blender Benchmark 2.90GPU, koro (CUDA)436.3474reference
Blender Benchmark 2.91.2GPU, koro (CUDA)405.6492.8reference
Blender Benchmark 2.92GPU, koro (CUDA)418.1440.1reference
Blender Benchmark 2.93.1GPU, koro (CUDA)386.4404.1reference
Blender Benchmark 2.90GPU, koro (OPTIX)218.9—no pair
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)782.1—no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)791.52,287.3reference
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)795.8868.1reference
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)859.5936.4reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)803.31,004.9reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)830.2864.1reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)703.3780.2reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)528.3—no pair
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)1,927.65,168.6reference
Blender Benchmark 2.83GPU, victor (CUDA)2,197.91,899.9reference
Blender Benchmark 2.90GPU, victor (CUDA)1,909.21,882.5reference
Blender Benchmark 2.91.2GPU, victor (CUDA)1,4832,078.8reference
Blender Benchmark 2.92GPU, victor (CUDA)1,510.92,216.9reference
Blender Benchmark 2.93.1GPU, victor (CUDA)2,780.51,964.2reference
Blender Benchmark 2.90GPU, victor (OPTIX)759.5—no pair
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)550.4—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)560558.6reference
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)556.6483.6reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)554.8466.2reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)478.2447.3reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)462.8399.4reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)645.3533.9reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)580.4466.7reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)542.5533.4reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)560.6438.8reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)562.8497.5reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)452.9449.4reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)603.2519.3reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)577.1510.3reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)526.3500reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)564.4462.7reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)540472reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)540.9471.4reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)472.3467.6reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)521.1425.2reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—510.1no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—553.2no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—600.2no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—554.8no pair
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—511.7no pair

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

Specifications

Chip maker values. The laptop maker sets the power limit and clocks in each laptop.

Chip

  • GPU chip

    ATU116-250-KA-A1

    Bno data

    no data for B
  • Architecture

    ATuring

    BTuring

    equal
  • Shader units

    A1,280 (CUDA cores)

    B1,024 (CUDA cores)

    A: 256 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,530 MHz

    B1,350 MHz

    A: 180 MHz more
  • Boost clock

    A1,725 MHz

    B1,485 MHz

    A: 240 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

    B4 GB

    equal
  • Memory type

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A128 bit

    B128 bit

    equal
  • Memory bandwidth

    A192 GB/s

    B192 GB/s

    equal

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

Power and dimensions

  • Board power

    A100 W (TDP)

    B55 W (TDP)

    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.

  • Interface

    Ano data

    BPCIe 3.0 x16

    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 1650 SUPER and NVIDIA GeForce GTX 1650 Ti Laptop GPU have?

NVIDIA GeForce GTX 1650 SUPER: 4 GB GDDR6, 128-bit bus. NVIDIA GeForce GTX 1650 Ti Laptop GPU: 4 GB GDDR6, 128-bit bus.

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

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

Data sources (2)
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1650 SUPER, specifications of NVIDIA GeForce GTX 1650 Ti Laptop GPU, 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 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 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, 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 3.6.0, 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 3.1.2checked November 14, 2026

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

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