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GeForce GTX 1070 Ti vs GeForce RTX 2050 Laptop GPU: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1070 Ti

  • 8 GB GDDR5
  • 180 W

November 2, 2017 · $399 at launch

BNVIDIA · Ampere

NVIDIA GeForce RTX 2050 Laptop GPU

  • 4 GB GDDR6

January 3, 2022

Short verdict

NVIDIA GeForce RTX 2050 Laptop GPU 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 1070 TiGeForce RTX 2050 Laptop GPU →
  • Rendering and compute

    B +26.2%

    NVIDIA GeForce RTX 2050 Laptop GPU leads in this scenario (up to 26.2% 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 1070 Ti is better3

  • Video memory 4 GB more8 GB vs 4 GB

  • Memory bus 192 bit more256 bit vs 64 bit

  • Memory bandwidth 144.3 GB/s more256.3 GB/s vs 112 GB/s

Where GeForce RTX 2050 Laptop GPU is better1

  • Blender Benchmark 4.5.0 26.2% faster747 samples/min vs 592 samples/min

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 4.5.0

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

    B ahead by 26.2%

    Position among tested models (67, OptiX)

    A · 592B · 747
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 2050 Laptop GPU is ahead by 26.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1070 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (1 outliers excluded), interquartile range 582.59–600.66; submissions 2025-07-19 to 2026-04-11; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2050 Laptop GPU

    746.6 samples/min · community measurement, sample 38 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 38 submissions (1 outliers excluded), interquartile range 690.49–833.91; submissions 2025-07-17 to 2026-07-19; 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 (92)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)802.3—no pair
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)802.9—no pair
Blender Benchmark 2.81GPU, bmw27 (CUDA)88.4—no pair
Blender Benchmark 2.81aGPU, bmw27 (CUDA)86.8—no pair
Blender Benchmark 2.82GPU, bmw27 (CUDA)88—no pair
Blender Benchmark 2.83GPU, bmw27 (CUDA)89.3—no pair
Blender Benchmark 2.90GPU, bmw27 (CUDA)96.2—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)89.7—no pair
Blender Benchmark 2.92GPU, bmw27 (CUDA)89.9—no pair
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)77.7—no pair
Blender Benchmark 2.90GPU, bmw27 (OPTIX)90—no pair
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)88.9—no pair
Blender Benchmark 2.92GPU, bmw27 (OPTIX)89.5—no pair
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)91.7—no pair
Blender Benchmark 2.81GPU, classroom (CUDA)286.5—no pair
Blender Benchmark 2.81aGPU, classroom (CUDA)284.4—no pair
Blender Benchmark 2.82GPU, classroom (CUDA)285.5—no pair
Blender Benchmark 2.83GPU, classroom (CUDA)286.1—no pair
Blender Benchmark 2.90GPU, classroom (CUDA)293.5—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)274.6—no pair
Blender Benchmark 2.92GPU, classroom (CUDA)280—no pair
Blender Benchmark 2.93.1GPU, classroom (CUDA)253.8—no pair
Blender Benchmark 2.90GPU, classroom (OPTIX)325.3—no pair
Blender Benchmark 2.92GPU, classroom (OPTIX)338.1—no pair
Blender Benchmark 2.93.1GPU, classroom (OPTIX)328.2—no pair
Blender Benchmark 2.81GPU, fishy_cat (CUDA)176.7—no pair
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)178.2—no pair
Blender Benchmark 2.82GPU, fishy_cat (CUDA)182.2—no pair
Blender Benchmark 2.83GPU, fishy_cat (CUDA)180.9—no pair
Blender Benchmark 2.90GPU, fishy_cat (CUDA)187.6—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)176.6—no pair
Blender Benchmark 2.92GPU, fishy_cat (CUDA)178.1—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)181.7—no pair
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)168.7—no pair
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)175—no pair
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)178.8—no pair
Blender Benchmark 2.81GPU, koro (CUDA)340.9—no pair
Blender Benchmark 2.81aGPU, koro (CUDA)341.7—no pair
Blender Benchmark 2.82GPU, koro (CUDA)338—no pair
Blender Benchmark 2.83GPU, koro (CUDA)327.8—no pair
Blender Benchmark 2.90GPU, koro (CUDA)296—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)291.9—no pair
Blender Benchmark 2.92GPU, koro (CUDA)295.3—no pair
Blender Benchmark 2.93.1GPU, koro (CUDA)300.5—no pair
Blender Benchmark 2.90GPU, koro (OPTIX)195.9—no pair
Blender Benchmark 2.92GPU, koro (OPTIX)281.2—no pair
Blender Benchmark 2.93.1GPU, koro (OPTIX)206.8—no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)480.4—no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)472.5—no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)474.3—no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)485.9—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)502.9—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)471.7—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)483.3—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)447.2—no pair
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)475.9—no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)491.7—no pair
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)501.4—no pair
Blender Benchmark 2.81GPU, victor (CUDA)773—no pair
Blender Benchmark 2.81aGPU, victor (CUDA)750.1—no pair
Blender Benchmark 2.82GPU, victor (CUDA)714.3—no pair
Blender Benchmark 2.83GPU, victor (CUDA)690.6—no pair
Blender Benchmark 2.90GPU, victor (CUDA)692.6—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)668.2—no pair
Blender Benchmark 2.92GPU, victor (CUDA)745.5—no pair
Blender Benchmark 2.93.1GPU, victor (CUDA)734.5—no pair
Blender Benchmark 2.90GPU, victor (OPTIX)650.3—no pair
Blender Benchmark 2.92GPU, victor (OPTIX)751.1—no pair
Blender Benchmark 2.93.1GPU, victor (OPTIX)701.6—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)687.1—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)674.9—no pair
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)652.1—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)667.3—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)663.7—no pair
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)684—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)592.8700.3reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)495823.2reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)513.6683.1reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)658.3724.1reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)633.8961.3reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)662.6—no pair
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)614.7770.2reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)635.3833.6reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)639.7—no pair
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)662.4803.6reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)635.4849.1reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)596.6796reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)599.7818.1reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)590.9695.1reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)587.9717.1reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)506.8794.2reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—647.5no 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

    AGP104-300-A1

    BGA107

    differs
  • Architecture

    APascal

    BAmpere

    differs
  • Shader units

    A2,432 (CUDA cores)

    B2,048 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,607 MHz

    B1,155 MHz

    A: 452 MHz more
  • Boost clock

    A1,683 MHz

    B1,477 MHz

    A: 206 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

    A8 GB

    B4 GB

    A: 4 GB more
  • Memory type

    AGDDR5

    BGDDR6

    differs
  • Memory bus

    A256 bit

    B64 bit

    A: 192 bit more
  • Memory bandwidth

    A256.3 GB/s

    B112 GB/s

    A: 144.3 GB/s more

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

Power and dimensions

  • Board power

    A180 W (TDP)

    Bno data

    no data for B

    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 x8

    differs

“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 1070 Ti and NVIDIA GeForce RTX 2050 Laptop GPU have?

NVIDIA GeForce GTX 1070 Ti: 8 GB GDDR5, 256-bit bus. NVIDIA GeForce RTX 2050 Laptop GPU: 4 GB GDDR6, 64-bit bus.

Which PCIe interface do the cards use?

NVIDIA GeForce GTX 1070 Ti: PCIe 3.0 x16. NVIDIA GeForce RTX 2050 Laptop GPU: PCIe 3.0 x8.

Which is faster: NVIDIA GeForce GTX 1070 Ti or NVIDIA GeForce RTX 2050 Laptop GPU?

NVIDIA GeForce RTX 2050 Laptop GPU leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Data sources (2)
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1070 Ti, specifications of NVIDIA GeForce RTX 2050 Laptop GPU, 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 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 3.6.0, 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 3.0.1, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026

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

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