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GeForce 920M vs GeForce GTX 1060 Max-Q: specs and benchmark comparison

ANVIDIA · Kepler

NVIDIA GeForce 920M

  • 2 GB DDR3
  • 33 W

March 12, 2015

BNVIDIA · Pascal

NVIDIA GeForce GTX 1060 Max-Q

  • 6 GB GDDR5
  • 80 W

Short verdict

Not enough data for a performance conclusion: the database has no comparable benchmarks for this pair. Below are the key differences in official specifications.

Compare with AI

Advantages

Only measured and rated values: a noticeable benchmark gap and specs where more is better.

Where GeForce 920M is better1

  • Board power 47 W lower33 W (TDP) vs 80 W (TDP)

Where GeForce GTX 1060 Max-Q is better3

  • Video memory 4 GB more6 GB vs 2 GB

  • Memory bus 128 bit more192 bit vs 64 bit

  • Memory bandwidth 177.6 GB/s more192 GB/s vs 14.4 GB/s

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 2.91.2

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

    No advantage conclusion: small sample in one of the results.

    About the measurement and source
    A · NVIDIA GeForce 920M

    1,444.6 s · community measurement, sample 1 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 1 submissions (0 outliers excluded), interquartile range 1444.62–1444.62; submissions 2021-03-26 to 2021-03-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce GTX 1060 Max-Q

    166.1 s · community measurement, sample 1 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 1 submissions (0 outliers excluded), interquartile range 166.1–166.1; submissions 2021-03-04 to 2021-03-04; 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.

Reference results (61)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)1,061.6163.4reference
Blender Benchmark 2.82GPU, bmw27 (CUDA)1,105165.2reference
Blender Benchmark 2.83GPU, bmw27 (CUDA)1,045167.8reference
Blender Benchmark 2.90GPU, bmw27 (CUDA)1,090.7180.4reference
Blender Benchmark 2.81GPU, classroom (CUDA)3,615.7592reference
Blender Benchmark 2.90GPU, classroom (CUDA)3,609.6619.9reference
Blender Benchmark 2.82GPU, fishy_cat (CUDA)2,154.4337.1reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)49.8—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)47.1—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)45.2—no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)36.6—no pair
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)—1,648.5no pair
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)—1,668.3no pair
Blender Benchmark 2.81GPU, bmw27 (CUDA)—164.1no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)—183.1no pair
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)—140.7no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)—589.4no pair
Blender Benchmark 2.82GPU, classroom (CUDA)—593.1no pair
Blender Benchmark 2.83GPU, classroom (CUDA)—603.6no pair
Blender Benchmark 2.92GPU, classroom (CUDA)—767.9no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)—521.1no pair
Blender Benchmark 2.81GPU, fishy_cat (CUDA)—326no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)—328.9no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)—342.1no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)—344.9no pair
Blender Benchmark 2.92GPU, fishy_cat (CUDA)—560.2no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)—325.1no pair
Blender Benchmark 2.81GPU, koro (CUDA)—648.8no pair
Blender Benchmark 2.81aGPU, koro (CUDA)—653.2no pair
Blender Benchmark 2.82GPU, koro (CUDA)—646.8no pair
Blender Benchmark 2.83GPU, koro (CUDA)—640.5no pair
Blender Benchmark 2.90GPU, koro (CUDA)—588.4no pair
Blender Benchmark 2.92GPU, koro (CUDA)—602no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)—579.9no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)—937.7no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)—927.2no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)—934.2no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)—959.5no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)—998.7no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)—979.2no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)—874.1no pair
Blender Benchmark 2.81GPU, victor (CUDA)—1,530.4no pair
Blender Benchmark 2.81aGPU, victor (CUDA)—1,487.2no pair
Blender Benchmark 2.82GPU, victor (CUDA)—1,534.9no pair
Blender Benchmark 2.83GPU, victor (CUDA)—1,618.4no pair
Blender Benchmark 2.90GPU, victor (CUDA)—1,503.7no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)—1,323.9no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—438.3no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—422.4no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—333.3no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—326.9no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—357no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—351.1no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—349.9no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—351.7no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—352.5no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—354.1no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—338.1no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—339.9no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—341.7no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—330.3no 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

    AGK208

    Bno data

    no data for B
  • Architecture

    AKepler

    BPascal

    differs
  • Shader units

    Ano data

    B1,280 (CUDA cores)

    no data for A

    Shader unit counts are comparable only within one architecture.

Clocks

  • Boost clock

    Ano data

    B1,480 MHz

    no data for A

    Clocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit.

Memory

  • Video memory

    A2 GB

    B6 GB

    B: 4 GB more
  • Memory type

    ADDR3

    BGDDR5

    differs
  • Memory bus

    A64 bit

    B192 bit

    B: 128 bit more
  • Memory bandwidth

    A14.4 GB/s

    B192 GB/s

    B: 177.6 GB/s more

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

Power and dimensions

  • Board power

    A33 W (TDP)

    B80 W (TDP)

    B: 47 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

    APCIe 3.0 x16

    BPCIe 3.0 x16

    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 920M and NVIDIA GeForce GTX 1060 Max-Q have?

NVIDIA GeForce 920M: 2 GB DDR3, 64-bit bus. NVIDIA GeForce GTX 1060 Max-Q: 6 GB GDDR5, 192-bit bus.

Which PCIe interface do the cards use?

NVIDIA GeForce 920M: PCIe 3.0 x16. NVIDIA GeForce GTX 1060 Max-Q: PCIe 3.0 x16.

Data sources (2)
  • Wikipedia (English) — specifications of NVIDIA GeForce 920M, specifications of NVIDIA GeForce GTX 1060 Max-Q, release date and launch pricechecked November 14, 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 3.1.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0checked November 14, 2026

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

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