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GeForce GTX 1070 Ti vs GeForce RTX 2070 Max-Q: specs and benchmark comparison

ANVIDIA · Pascal

NVIDIA GeForce GTX 1070 Ti

  • 8 GB GDDR5
  • 180 W

November 2, 2017 · $399 at launch

BNVIDIA · Turing

NVIDIA GeForce RTX 2070 Max-Q

  • 8 GB GDDR6
  • 80 W

January 29, 2019

Short verdict

It depends on the task: rendering and compute: results disagree.

Compare with AI
← GeForce GTX 1070 TiGeForce RTX 2070 Max-Q →
  • Rendering and compute

    depends on the task

    Benchmark results disagree, so the choice depends on the specific task.

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 better2

  • Blender Benchmark 2.90 20.2% lower294 s vs 353 s

  • Blender Benchmark 2.90 9.2% lower503 s vs 549 s

Where GeForce RTX 2070 Max-Q is better4

  • Blender Benchmark 2.90 18.1% lower81 s vs 96 s

  • Blender Benchmark 3.6.0 219% faster2,027 samples/min vs 635 samples/min

  • Memory bandwidth 191.7 GB/s more448 GB/s vs 256.3 GB/s

  • Board power 100 W lower80 W (TDP) vs 180 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

    B ahead by 18.1%

    Position among tested models (27, CUDA)

    B · 81A · 96
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 Max-Q is ahead by 18.1% in this benchmark.

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

    96.2 s · community measurement, sample 75 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 75 submissions (10 outliers excluded), interquartile range 94.51–97.63; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 Max-Q

    81.5 s · community measurement, sample 23 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 23 submissions (1 outliers excluded), interquartile range 78.29–84.81; submissions 2020-09-03 to 2021-01-25; 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.

  • Blender Benchmark 2.90

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

    A ahead by 20.2%

    Position among tested models (25, CUDA)

    A · 294B · 353
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1070 Ti is ahead by 20.2% in this benchmark.

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

    293.5 s · community measurement, sample 75 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 75 submissions (3 outliers excluded), interquartile range 280.96–296.59; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 Max-Q

    352.7 s · community measurement, sample 22 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 22 submissions (2 outliers excluded), interquartile range 334.6–365.97; submissions 2020-09-03 to 2021-01-25; 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.

  • Blender Benchmark 2.90

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

    A ahead by 9.2%

    Position among tested models (23, CUDA)

    A · 503B · 549
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce GTX 1070 Ti is ahead by 9.2% in this benchmark.

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

    502.9 s · community measurement, sample 52 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 52 submissions (3 outliers excluded), interquartile range 479.86–509.1; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 Max-Q

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

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (0 outliers excluded), interquartile range 524.36–576.34; submissions 2020-09-03 to 2021-01-25; 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.

  • Blender Benchmark 3.6.0

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

    B ahead by 219%

    Position among tested models (49, OptiX)

    A · 635B · 2,027
    05,00010,00015,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min.

    NVIDIA GeForce RTX 2070 Max-Q is ahead by 219% in this benchmark.

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

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

    Blender Open Data (Blender Foundation)

    Median of 24 submissions (5 outliers excluded), interquartile range 629.18–646.36; submissions 2023-06-29 to 2026-02-08; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 Max-Q

    2,026.9 samples/min · community measurement, sample 22 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 22 submissions (2 outliers excluded), interquartile range 1875.19–2124.65; submissions 2023-07-06 to 2024-03-17; 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.

Other comparable benchmarks (3)
BenchmarkABDifference
Blender Benchmark 2.82GPU, bmw27 (CUDA)8879.3B +10.9%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)633.81,903.9B +200.4%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)639.71,814.6B +183.7%

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

Reference results (118)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)802.31,145.5reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)802.9—no pair
Blender Benchmark 2.81GPU, bmw27 (CUDA)88.479.6reference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)86.878reference
Blender Benchmark 2.83GPU, bmw27 (CUDA)89.382.5reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)89.783reference
Blender Benchmark 2.92GPU, bmw27 (CUDA)89.981.2reference
Blender Benchmark 2.93.1GPU, bmw27 (CUDA)77.772.6reference
Blender Benchmark 2.90GPU, bmw27 (OPTIX)9036.3reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)88.934.7reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)89.535.9reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)91.735.5reference
Blender Benchmark 2.81GPU, classroom (CUDA)286.5348.3reference
Blender Benchmark 2.81aGPU, classroom (CUDA)284.4338.7reference
Blender Benchmark 2.82GPU, classroom (CUDA)285.5346.2reference
Blender Benchmark 2.83GPU, classroom (CUDA)286.1355.8reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)274.6360reference
Blender Benchmark 2.92GPU, classroom (CUDA)280357reference
Blender Benchmark 2.93.1GPU, classroom (CUDA)253.8315.1reference
Blender Benchmark 2.90GPU, classroom (OPTIX)325.3187reference
Blender Benchmark 2.92GPU, classroom (OPTIX)338.1195.5reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)328.2186.8reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)176.7141.7reference
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)178.2149reference
Blender Benchmark 2.82GPU, fishy_cat (CUDA)182.2149.2reference
Blender Benchmark 2.83GPU, fishy_cat (CUDA)180.9161.4reference
Blender Benchmark 2.90GPU, fishy_cat (CUDA)187.6156reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)176.6142.4reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)178.1145.6reference
Blender Benchmark 2.93.1GPU, fishy_cat (CUDA)181.7140.6reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)168.764.5reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)17573.2reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)178.869.9reference
Blender Benchmark 2.81GPU, koro (CUDA)340.9247.9reference
Blender Benchmark 2.81aGPU, koro (CUDA)341.7266.5reference
Blender Benchmark 2.82GPU, koro (CUDA)338262.4reference
Blender Benchmark 2.83GPU, koro (CUDA)327.8279.5reference
Blender Benchmark 2.90GPU, koro (CUDA)296237.3reference
Blender Benchmark 2.91.2GPU, koro (CUDA)291.9227reference
Blender Benchmark 2.92GPU, koro (CUDA)295.3226.5reference
Blender Benchmark 2.93.1GPU, koro (CUDA)300.5229.9reference
Blender Benchmark 2.90GPU, koro (OPTIX)195.9136reference
Blender Benchmark 2.92GPU, koro (OPTIX)281.2234.4reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)206.8142.8reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)480.4525.1reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)472.5566.2reference
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)474.3543.6reference
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)485.9552.4reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)471.7514.8reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)483.3486.9reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)447.2491.4reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)475.9219.5reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)491.7237.4reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)501.4227.8reference
Blender Benchmark 2.81GPU, victor (CUDA)773634.2reference
Blender Benchmark 2.81aGPU, victor (CUDA)750.1674.1reference
Blender Benchmark 2.82GPU, victor (CUDA)714.3647.5reference
Blender Benchmark 2.83GPU, victor (CUDA)690.6676.7reference
Blender Benchmark 2.90GPU, victor (CUDA)692.6626.2reference
Blender Benchmark 2.91.2GPU, victor (CUDA)668.2606.3reference
Blender Benchmark 2.92GPU, victor (CUDA)745.5669.6reference
Blender Benchmark 2.93.1GPU, victor (CUDA)734.5641.8reference
Blender Benchmark 2.90GPU, victor (OPTIX)650.3258reference
Blender Benchmark 2.92GPU, victor (OPTIX)751.1320.5reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)701.6295.1reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)687.11,231.3reference
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)663.7607.7reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)6841,242.6reference
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)592.81,707.7reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)591.61,549.2reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)4951,575.2reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)513.61,674.4reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)658.32,055.3reference
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)614.71,680.6reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)635.31,919.6reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)662.42,012reference
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)596.61,845.6reference
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)599.71,648.9reference
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)590.91,744reference
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)587.91,550.4reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)506.8—no pair
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)—1,847.6no pair
Blender Benchmark 2.81GPU, bmw27 (OPTIX)—38no pair
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)—35no pair
Blender Benchmark 2.82GPU, bmw27 (OPTIX)—35.7no pair
Blender Benchmark 2.83GPU, bmw27 (OPTIX)—34.5no pair
Blender Benchmark 2.81GPU, classroom (OPTIX)—175.9no pair
Blender Benchmark 2.81aGPU, classroom (OPTIX)—176.4no pair
Blender Benchmark 2.82GPU, classroom (OPTIX)—183.9no pair
Blender Benchmark 2.83GPU, classroom (OPTIX)—179.1no pair
Blender Benchmark 2.91.2GPU, classroom (OPTIX)—184no pair
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)—64.5no pair
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)—67.7no pair
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)—65.2no pair
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)—63.6no pair
Blender Benchmark 2.81GPU, koro (OPTIX)—115.3no pair
Blender Benchmark 2.82GPU, koro (OPTIX)—121.5no pair
Blender Benchmark 2.83GPU, koro (OPTIX)—119.9no pair
Blender Benchmark 2.91.2GPU, koro (OPTIX)—130.3no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)—213.8no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)—228.4no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)—222.5no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)—219.9no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)—213.8no pair
Blender Benchmark 2.81GPU, victor (OPTIX)—284no pair
Blender Benchmark 2.82GPU, victor (OPTIX)—285.7no pair
Blender Benchmark 2.83GPU, victor (OPTIX)—282.2no pair
Blender Benchmark 2.91.2GPU, victor (OPTIX)—254.1no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,087.8no pair
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—803.5no pair
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,125.3no pair
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—810.8no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,040.8no pair
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—341.2no 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

    BTU106

    differs
  • Architecture

    APascal

    BTuring

    differs
  • Shader units

    A2,432 (CUDA cores)

    B2,304 (CUDA cores)

    not directly comparable

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,607 MHz

    B885 MHz

    A: 722 MHz more
  • Boost clock

    A1,683 MHz

    B1,185 MHz

    A: 498 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

    B8 GB

    equal
  • Memory type

    AGDDR5

    BGDDR6

    differs
  • Memory bus

    A256 bit

    B256 bit

    equal
  • Memory bandwidth

    A256.3 GB/s

    B448 GB/s

    B: 191.7 GB/s more

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

Power and dimensions

  • Board power

    A180 W (TDP)

    B80 W (TDP)

    A: 100 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 GTX 1070 Ti and NVIDIA GeForce RTX 2070 Max-Q have?

NVIDIA GeForce GTX 1070 Ti: 8 GB GDDR5, 256-bit bus. NVIDIA GeForce RTX 2070 Max-Q: 8 GB GDDR6, 256-bit bus.

Which PCIe interface do the cards use?

NVIDIA GeForce GTX 1070 Ti: PCIe 3.0 x16. NVIDIA GeForce RTX 2070 Max-Q: PCIe 3.0 x16.

Which is faster: NVIDIA GeForce GTX 1070 Ti or NVIDIA GeForce RTX 2070 Max-Q?

It depends on the task: rendering and compute: results disagree.

Data sources (2)
  • Wikipedia (English) — specifications of NVIDIA GeForce GTX 1070 Ti, specifications of NVIDIA GeForce RTX 2070 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 3.2.1, 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 4.0.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026

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

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