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GeForce GTX 1660 Ti vs GeForce RTX 2070: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce GTX 1660 Ti

  • 6 GB GDDR6
  • 120 W

February 21, 2019 · $279 at launch

BNVIDIA · Turing

NVIDIA GeForce RTX 2070

  • 8 GB GDDR6
  • 175 W

October 17, 2018 · $499 at launch

Short verdict

NVIDIA GeForce RTX 2070 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 1660 TiGeForce RTX 2070 →
  • Rendering and compute

    B +186.8%

    NVIDIA GeForce RTX 2070 leads in this scenario (up to 186.8% 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 1660 Ti is better2

  • Board power 55 W lower120 W (TDP) vs 175 W (TDP)

  • Launch price $220 lower$279 vs $499

Where GeForce RTX 2070 is better12

  • Blender Benchmark 2.93.1 43.1% lower59 s vs 84 s

  • Blender Benchmark 2.90 143.4% lower30 s vs 74 s

  • Blender Benchmark 2.93.1 6.4% lower282 s vs 300 s

  • Blender Benchmark 2.93.1 51.9% lower112 s vs 170 s

  • Blender Benchmark 2.90 52.8% lower195 s vs 298 s

  • Blender Benchmark 2.90 22.2% lower473 s vs 578 s

  • Blender Benchmark 2.90 33.3% lower532 s vs 709 s

  • Blender Benchmark 4.5.0 180.1% faster2,109 samples/min vs 753 samples/min

  • Shader units 768 more2,304 (CUDA cores) vs 1,536 (CUDA cores)

  • Video memory 2 GB more8 GB vs 6 GB

  • Memory bus 64 bit more256 bit vs 192 bit

  • Memory bandwidth 160 GB/s more448 GB/s vs 288 GB/s

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

    B ahead by 43.1%

    Position among tested models (31, CUDA)

    B · 59A · 84
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 is ahead by 43.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 Ti

    84.2 s · community measurement, sample 43 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 43 submissions (0 outliers excluded), interquartile range 80.69–88.8; submissions 2021-07-14 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070

    58.8 s · community measurement, sample 42 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 42 submissions (1 outliers excluded), interquartile range 57.49–61.43; submissions 2021-07-12 to 2022-02-10; 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, bmw27 (OPTIX) · s, lower is better

    B ahead by 143.4%

    Position among tested models (17, OptiX)

    B · 30A · 74
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 is ahead by 143.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 Ti

    74.2 s · community measurement, sample 25 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 25 submissions (3 outliers excluded), interquartile range 72.18–76.22; submissions 2020-09-04 to 2021-02-04; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070

    30.5 s · community measurement, sample 92 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 92 submissions (1 outliers excluded), interquartile range 29.31–31.63; submissions 2020-09-02 to 2022-01-09; OPTIX 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 2.93.1

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

    B ahead by 6.4%

    Position among tested models (26, CUDA)

    B · 282A · 300
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 is ahead by 6.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 Ti

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

    Blender Open Data (Blender Foundation)

    Median of 22 submissions (3 outliers excluded), interquartile range 296.02–316.53; submissions 2021-07-11 to 2022-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070

    282.3 s · community measurement, sample 28 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 28 submissions (2 outliers excluded), interquartile range 276.74–290.98; submissions 2021-07-12 to 2022-02-03; 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 2.93.1

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

    B ahead by 51.9%

    Position among tested models (21, CUDA)

    B · 112A · 170
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 is ahead by 51.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 Ti

    169.5 s · community measurement, sample 21 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 21 submissions (0 outliers excluded), interquartile range 166.86–181.87; submissions 2021-07-12 to 2022-01-31; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070

    111.6 s · community measurement, sample 27 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (2 outliers excluded), interquartile range 108.46–119.84; submissions 2021-07-12 to 2022-02-03; 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, koro (CUDA) · s, lower is better

    B ahead by 52.8%

    Position among tested models (22, CUDA)

    B · 195A · 298
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 is ahead by 52.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 Ti

    298 s · community measurement, sample 77 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 77 submissions (6 outliers excluded), interquartile range 292.89–312.81; submissions 2020-09-04 to 2021-02-04; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070

    195 s · community measurement, sample 117 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 117 submissions (14 outliers excluded), interquartile range 191.09–199.46; submissions 2020-09-03 to 2021-09-12; 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

    B ahead by 22.2%

    Position among tested models (23, CUDA)

    B · 473A · 578
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 is ahead by 22.2% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 Ti

    577.5 s · community measurement, sample 82 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 82 submissions (5 outliers excluded), interquartile range 564.82–600.01; submissions 2020-09-04 to 2021-02-04; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070

    472.6 s · community measurement, sample 127 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 127 submissions (10 outliers excluded), interquartile range 460.59–488.31; submissions 2020-09-03 to 2022-01-09; 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, victor (CUDA) · s, lower is better

    B ahead by 33.3%

    Position among tested models (20, CUDA)

    B · 532A · 709
    05001,0001,500
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 is ahead by 33.3% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 Ti

    709.3 s · community measurement, sample 77 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 77 submissions (7 outliers excluded), interquartile range 693.39–748.04; submissions 2020-09-04 to 2021-02-04; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070

    532.1 s · community measurement, sample 120 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 120 submissions (9 outliers excluded), interquartile range 512.02–553.12; submissions 2020-09-03 to 2021-09-12; 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 4.5.0

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

    B ahead by 180.1%

    Position among tested models (67, OptiX)

    A · 753B · 2,109
    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 is ahead by 180.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce GTX 1660 Ti

    752.7 samples/min · community measurement, sample 58 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 58 submissions (4 outliers excluded), interquartile range 713.01–780.43; submissions 2025-07-17 to 2026-07-24; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070

    2,108.7 samples/min · community measurement, sample 64 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 64 submissions (2 outliers excluded), interquartile range 1999.79–2175.31; submissions 2025-07-22 to 2026-07-07; 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 (32)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)90.264.9B +38.9%
Blender Benchmark 2.82GPU, bmw27 (CUDA)91.764.2B +42.8%
Blender Benchmark 2.83GPU, bmw27 (CUDA)92.467.6B +36.6%
Blender Benchmark 2.90GPU, bmw27 (CUDA)98.667.8B +45.4%
Blender Benchmark 2.92GPU, bmw27 (CUDA)97.367.8B +43.5%
Blender Benchmark 2.81aGPU, classroom (CUDA)333312.4B +6.6%
Blender Benchmark 2.82GPU, classroom (CUDA)322.2297.9B +8.2%
Blender Benchmark 2.83GPU, classroom (CUDA)328306.1B +7.2%
Blender Benchmark 2.90GPU, classroom (CUDA)333.4310.5B +7.4%
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)168.3119.3B +41%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)173.3119.9B +44.5%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)177.1129.7B +36.5%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)185.6126.2B +47%
Blender Benchmark 2.81aGPU, koro (CUDA)288.5212.8B +35.6%
Blender Benchmark 2.82GPU, koro (CUDA)284.9211.6B +34.7%
Blender Benchmark 2.83GPU, koro (CUDA)302.4226.1B +33.7%
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)546.1457.8B +19.3%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)543.8456.1B +19.2%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)546.7461.6B +18.4%
Blender Benchmark 2.82GPU, victor (CUDA)704.2532.1B +32.4%
Blender Benchmark 2.83GPU, victor (CUDA)708.4560.2B +26.5%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)763.42,072.7B +171.5%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)820.52,282.5B +178.2%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)810.82,245.7B +177%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)825.92,322.6B +181.2%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)825.22,275.9B +175.8%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)862.42,452.8B +184.4%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)854.42,450.5B +186.8%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)781.62,159.9B +176.3%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)788.72,222.6B +181.8%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)765.62,085.9B +172.4%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)753.92,131.7B +182.8%

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

Reference results (96)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)1,104.21,086.1reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,122.61,072.6reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)90.564reference
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)94.269.8reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)74.531.6reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)72.330reference
Blender Benchmark 2.93.1GPU, bmw27 (OPTIX)7833reference
Blender Benchmark 2.81GPU, classroom (CUDA)331309.9reference
Blender Benchmark 2.91.2GPU, classroom (CUDA)338.7321.4reference
Blender Benchmark 2.92GPU, classroom (CUDA)341.5318.4reference
Blender Benchmark 2.90GPU, classroom (OPTIX)298166.4reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)302.3170.4reference
Blender Benchmark 2.92GPU, classroom (OPTIX)289.8168.1reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)307.1177.3reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)166.2118.1reference
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)169.5122.6reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)183.9117.9reference
Blender Benchmark 2.90GPU, fishy_cat (OPTIX)146.354.8reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)148.861.8reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)158.662.1reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)165.463.4reference
Blender Benchmark 2.81GPU, koro (CUDA)286.5209.7reference
Blender Benchmark 2.91.2GPU, koro (CUDA)275196.1reference
Blender Benchmark 2.92GPU, koro (CUDA)286.2186.9reference
Blender Benchmark 2.93.1GPU, koro (CUDA)269.1183.1reference
Blender Benchmark 2.90GPU, koro (OPTIX)182.5115.2reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)182123reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)230126.5reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)548.6458.6reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)528.2445.3reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)538.2429.3reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA)481.4410.2reference
Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX)429.1193.2reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)427196.3reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)454.8205.1reference
Blender Benchmark 2.81GPU, victor (CUDA)712.3545.7reference
Blender Benchmark 2.81aGPU, victor (CUDA)718.6548.4reference
Blender Benchmark 2.91.2GPU, victor (CUDA)684.3554.3reference
Blender Benchmark 2.92GPU, victor (CUDA)805.1574.2reference
Blender Benchmark 2.93.1GPU, victor (CUDA)706.2518.5reference
Blender Benchmark 2.90GPU, victor (OPTIX)585.4230.6reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)598.2252.2reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)690.1273.2reference
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)851.21,404.9reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)883.71,347.9reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)898.2—no pair
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)849.61,375.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)907.51,467.2reference
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA)971.3—no pair
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)773.7—no pair
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)777.51,246.1reference
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)702.61,829.9reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)685.61,926.6reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)888.12,300.4reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)875.82,178.6reference
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)8132,266reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)686.91,896.1reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)698.72,031.8reference
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)—1,907.1no pair
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)—1,721.5no pair
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)—70.1no pair
Blender Benchmark 2.81GPU, bmw27 (OPTIX)—30.9no pair
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)—30.5no pair
Blender Benchmark 2.82GPU, bmw27 (OPTIX)—30.8no pair
Blender Benchmark 2.83GPU, bmw27 (OPTIX)—30.6no pair
Blender Benchmark 2.90.1GPU, classroom (CUDA)—340.3no pair
Blender Benchmark 2.81GPU, classroom (OPTIX)—159.4no pair
Blender Benchmark 2.81aGPU, classroom (OPTIX)—164.5no pair
Blender Benchmark 2.82GPU, classroom (OPTIX)—165no pair
Blender Benchmark 2.83GPU, classroom (OPTIX)—168.2no pair
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)—131.1no pair
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)—55.1no pair
Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)—56.3no pair
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)—58.2no pair
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)—59.1no pair
Blender Benchmark 2.90.1GPU, koro (CUDA)—213.3no pair
Blender Benchmark 2.81GPU, koro (OPTIX)—102.4no pair
Blender Benchmark 2.81aGPU, koro (OPTIX)—105.6no pair
Blender Benchmark 2.82GPU, koro (OPTIX)—103.5no pair
Blender Benchmark 2.83GPU, koro (OPTIX)—105.7no pair
Blender Benchmark 2.92GPU, koro (OPTIX)—133.3no pair
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)—505.9no pair
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)—192.5no pair
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)—194.8no pair
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)—196.2no pair
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)—194.8no pair
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)—197.3no pair
Blender Benchmark 2.90.1GPU, victor (CUDA)—528.8no pair
Blender Benchmark 2.81GPU, victor (OPTIX)—255.7no pair
Blender Benchmark 2.81aGPU, victor (OPTIX)—261.9no pair
Blender Benchmark 2.82GPU, victor (OPTIX)—258.5no pair
Blender Benchmark 2.83GPU, victor (OPTIX)—260.1no pair
Blender Benchmark 2.92GPU, victor (OPTIX)—268.9no pair
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,401.3no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,433.1no pair
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,406.2no pair

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

Specifications

Chip

  • GPU chip

    ATU116-400-A1

    BTU106-400A-A1

    differs
  • Architecture

    ATuring

    BTuring

    equal
  • Shader units

    A1,536 (CUDA cores)

    B2,304 (CUDA cores)

    B: 768 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,500 MHz

    B1,410 MHz

    A: 90 MHz more
  • Boost clock

    A1,770 MHz

    B1,620 MHz

    A: 150 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

    B8 GB

    B: 2 GB more
  • Memory type

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A192 bit

    B256 bit

    B: 64 bit more
  • Memory bandwidth

    A288 GB/s

    B448 GB/s

    B: 160 GB/s more

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

Power and dimensions

  • Board power

    A120 W (TDP)

    B175 W (TDP)

    B: 55 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.

“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 1660 Ti and NVIDIA GeForce RTX 2070 have?

NVIDIA GeForce GTX 1660 Ti: 6 GB GDDR6, 192-bit bus. NVIDIA GeForce RTX 2070: 8 GB GDDR6, 256-bit bus.

Which is faster: NVIDIA GeForce GTX 1660 Ti or NVIDIA GeForce RTX 2070?

NVIDIA GeForce RTX 2070 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 1660 Ti, specifications of NVIDIA GeForce RTX 2070, 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 2.90.1, 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 5.2.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, 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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