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GeForce RTX 2070 vs GeForce RTX 2070 SUPER: specs and benchmark comparison

ANVIDIA · Turing

NVIDIA GeForce RTX 2070

  • 8 GB GDDR6
  • 175 W

October 17, 2018 · $499 at launch

BNVIDIA · Turing

NVIDIA GeForce RTX 2070 SUPER

  • 8 GB GDDR6
  • 215 W

July 9, 2019 · $499 at launch

Short verdict

NVIDIA GeForce RTX 2070 SUPER leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.

Compare with AI
← GeForce RTX 2070GeForce RTX 2070 SUPER →
  • Rendering and compute

    B +84.5%

    NVIDIA GeForce RTX 2070 SUPER leads in this scenario (up to 84.5% 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 RTX 2070 is better1

  • Board power 40 W lower175 W (TDP) vs 215 W (TDP)

Where GeForce RTX 2070 SUPER is better14

  • Blender Benchmark 2.93.1 30.2% lower45 s vs 59 s

  • Blender Benchmark 2.93.1 13.1% lower29 s vs 33 s

  • Blender Benchmark 2.93.1 81.2% lower156 s vs 282 s

  • Blender Benchmark 2.90 64.8% lower101 s vs 166 s

  • Blender Benchmark 2.93.1 23.4% lower90 s vs 112 s

  • Blender Benchmark 2.90 20.6% lower45 s vs 55 s

  • Blender Benchmark 2.93.1 24% lower148 s vs 183 s

  • Blender Benchmark 2.90 16.6% lower99 s vs 115 s

  • Blender Benchmark 2.93.1 59.9% lower257 s vs 410 s

  • Blender Benchmark 2.90 50% lower129 s vs 193 s

  • Blender Benchmark 2.93.1 34.7% lower385 s vs 518 s

  • Blender Benchmark 2.90 50.4% lower153 s vs 231 s

  • Blender Benchmark 4.5.0 6% faster2,235 samples/min vs 2,109 samples/min

  • Shader units 256 more2,560 (CUDA cores) vs 2,304 (CUDA cores)

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 30.2%

    Position among tested models (31, CUDA)

    B · 45A · 59
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 30.2% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 2070 SUPER

    45.2 s · community measurement, sample 98 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 98 submissions (11 outliers excluded), interquartile range 44.61–45.89; submissions 2021-07-09 to 2022-02-26; 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, bmw27 (OPTIX) · s, lower is better

    B ahead by 13.1%

    Position among tested models (20, OptiX)

    B · 29A · 33
    050100150
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 13.1% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070

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

    Blender Open Data (Blender Foundation)

    Median of 20 submissions (5 outliers excluded), interquartile range 32.03–33.24; submissions 2021-07-22 to 2022-02-27; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 SUPER

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

    Blender Open Data (Blender Foundation)

    Median of 42 submissions (4 outliers excluded), interquartile range 28.79–29.82; submissions 2021-07-09 to 2022-02-11; 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 81.2%

    Position among tested models (26, CUDA)

    B · 156A · 282
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 81.2% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 2070 SUPER

    155.8 s · community measurement, sample 80 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 80 submissions (6 outliers excluded), interquartile range 153.23–158.95; submissions 2021-07-12 to 2022-02-26; 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 (OPTIX) · s, lower is better

    B ahead by 64.8%

    Position among tested models (15, OptiX)

    B · 101A · 166
    0100200300400
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 64.8% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070

    166.4 s · community measurement, sample 61 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 61 submissions (1 outliers excluded), interquartile range 160.19–171.32; submissions 2020-09-02 to 2022-01-09; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 SUPER

    101 s · community measurement, sample 148 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 148 submissions (17 outliers excluded), interquartile range 99.16–102.19; submissions 2020-09-02 to 2021-01-30; 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, fishy_cat (CUDA) · s, lower is better

    B ahead by 23.4%

    Position among tested models (21, CUDA)

    B · 90A · 112
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 23.4% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 2070 SUPER

    90.4 s · community measurement, sample 68 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 68 submissions (9 outliers excluded), interquartile range 88.69–91.7; submissions 2021-07-12 to 2022-02-26; 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, fishy_cat (OPTIX) · s, lower is better

    B ahead by 20.6%

    Position among tested models (13, OptiX)

    B · 45A · 55
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 20.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070

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

    Blender Open Data (Blender Foundation)

    Median of 43 submissions (9 outliers excluded), interquartile range 54.03–56.24; submissions 2020-09-03 to 2021-06-14; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 SUPER

    45.5 s · community measurement, sample 115 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 115 submissions (24 outliers excluded), interquartile range 44.86–45.95; submissions 2020-09-02 to 2021-01-30; 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, koro (CUDA) · s, lower is better

    B ahead by 24%

    Position among tested models (20, CUDA)

    B · 148A · 183
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 24% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070

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

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (2 outliers excluded), interquartile range 178.97–197.3; submissions 2021-07-12 to 2022-02-03; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 SUPER

    147.7 s · community measurement, sample 69 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 69 submissions (9 outliers excluded), interquartile range 145.41–149.78; submissions 2021-07-12 to 2022-02-26; 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 (OPTIX) · s, lower is better

    B ahead by 16.6%

    Position among tested models (13, OptiX)

    B · 99A · 115
    0100200300
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 16.6% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070

    115.2 s · community measurement, sample 45 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 45 submissions (6 outliers excluded), interquartile range 111.3–119.47; submissions 2020-09-03 to 2021-06-14; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 SUPER

    98.8 s · community measurement, sample 122 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 122 submissions (18 outliers excluded), interquartile range 97.1–100.18; submissions 2020-09-02 to 2021-01-30; 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, pavillon_barcelona (CUDA) · s, lower is better

    B ahead by 59.9%

    Position among tested models (21, CUDA)

    B · 257A · 410
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 59.9% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070

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

    Blender Open Data (Blender Foundation)

    Median of 25 submissions (5 outliers excluded), interquartile range 397.21–415.04; submissions 2021-07-12 to 2022-02-03; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 SUPER

    256.6 s · community measurement, sample 68 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 68 submissions (9 outliers excluded), interquartile range 254.13–262.18; submissions 2021-07-12 to 2022-02-26; 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 (OPTIX) · s, lower is better

    B ahead by 50%

    Position among tested models (13, OptiX)

    B · 129A · 193
    0200400600
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 50% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070

    193.2 s · community measurement, sample 45 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 45 submissions (8 outliers excluded), interquartile range 189.69–197.47; submissions 2020-09-03 to 2022-01-09; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 SUPER

    128.8 s · community measurement, sample 134 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 134 submissions (12 outliers excluded), interquartile range 126.86–131.25; submissions 2020-09-02 to 2021-01-30; 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, victor (CUDA) · s, lower is better

    B ahead by 34.7%

    Position among tested models (19, CUDA)

    B · 385A · 518
    02505007501,000
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 34.7% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070

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

    Blender Open Data (Blender Foundation)

    Median of 27 submissions (2 outliers excluded), interquartile range 503.35–553.61; submissions 2021-07-12 to 2022-02-03; CUDA backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 SUPER

    384.8 s · community measurement, sample 71 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 71 submissions (9 outliers excluded), interquartile range 379–393.16; submissions 2021-07-12 to 2022-02-26; 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 (OPTIX) · s, lower is better

    B ahead by 50.4%

    Position among tested models (13, OptiX)

    B · 153A · 231
    0200400600800
    Each dot is one model’s median in this benchmark. The scale starts at zero, s.

    NVIDIA GeForce RTX 2070 SUPER is ahead by 50.4% in this benchmark.

    About the measurement and source
    A · NVIDIA GeForce RTX 2070

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

    Blender Open Data (Blender Foundation)

    Median of 42 submissions (6 outliers excluded), interquartile range 225.65–237.11; submissions 2020-09-03 to 2021-06-14; OPTIX backend. Snapshot 2026-11-14.

    B · NVIDIA GeForce RTX 2070 SUPER

    153.3 s · community measurement, sample 115 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 115 submissions (9 outliers excluded), interquartile range 150.54–157.53; submissions 2020-09-02 to 2021-01-30; 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 4.5.0

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

    B ahead by 6%

    Position among tested models (67, OptiX)

    A · 2,109B · 2,235
    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 SUPER is ahead by 6% in this benchmark.

    About the measurement and source
    A · 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.

    B · NVIDIA GeForce RTX 2070 SUPER

    2,234.5 samples/min · community measurement, sample 101 · November 14, 2026

    Blender Open Data (Blender Foundation)

    Median of 101 submissions (7 outliers excluded), interquartile range 2150.53–2296.29; submissions 2025-07-18 to 2026-11-02; 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 (51)
BenchmarkABDifference
Blender Benchmark 2.81aGPU, bmw27 (CUDA)64.949.1B +32.2%
Blender Benchmark 2.82GPU, bmw27 (CUDA)64.249.9B +28.6%
Blender Benchmark 2.83GPU, bmw27 (CUDA)67.650.5B +34%
Blender Benchmark 2.90GPU, bmw27 (CUDA)67.854.4B +24.6%
Blender Benchmark 2.92GPU, bmw27 (CUDA)67.852.2B +29.9%
Blender Benchmark 2.81aGPU, bmw27 (OPTIX)30.527.1B +12.6%
Blender Benchmark 2.82GPU, bmw27 (OPTIX)30.826.7B +15.2%
Blender Benchmark 2.83GPU, bmw27 (OPTIX)30.625.8B +18.6%
Blender Benchmark 2.90GPU, bmw27 (OPTIX)30.525.8B +18.3%
Blender Benchmark 2.81aGPU, classroom (CUDA)312.4169.4B +84.5%
Blender Benchmark 2.82GPU, classroom (CUDA)297.9165.2B +80.3%
Blender Benchmark 2.83GPU, classroom (CUDA)306.1168B +82.2%
Blender Benchmark 2.90GPU, classroom (CUDA)310.5171.7B +80.8%
Blender Benchmark 2.81aGPU, classroom (OPTIX)164.5101.2B +62.6%
Blender Benchmark 2.82GPU, classroom (OPTIX)165100.4B +64.4%
Blender Benchmark 2.83GPU, classroom (OPTIX)168.2100B +68.1%
Blender Benchmark 2.81aGPU, fishy_cat (CUDA)119.388.1B +35.5%
Blender Benchmark 2.82GPU, fishy_cat (CUDA)119.990.9B +31.9%
Blender Benchmark 2.83GPU, fishy_cat (CUDA)129.793.7B +38.4%
Blender Benchmark 2.90GPU, fishy_cat (CUDA)126.299B +27.5%
Blender Benchmark 2.82GPU, fishy_cat (OPTIX)58.244.6B +30.6%
Blender Benchmark 2.83GPU, fishy_cat (OPTIX)59.143.7B +35.3%
Blender Benchmark 2.81aGPU, koro (CUDA)212.8154B +38.2%
Blender Benchmark 2.82GPU, koro (CUDA)211.6153.3B +38%
Blender Benchmark 2.83GPU, koro (CUDA)226.1161.1B +40.4%
Blender Benchmark 2.90GPU, koro (CUDA)195165.1B +18.1%
Blender Benchmark 2.82GPU, koro (OPTIX)103.580.7B +28.3%
Blender Benchmark 2.83GPU, koro (OPTIX)105.779.6B +32.8%
Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA)457.8288.2B +58.8%
Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA)456.1290.1B +57.2%
Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA)461.6290.6B +58.9%
Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA)472.6305.5B +54.7%
Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX)196.2131.7B +48.9%
Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX)194.8128.7B +51.4%
Blender Benchmark 2.81aGPU, victor (CUDA)548.4383.5B +43%
Blender Benchmark 2.82GPU, victor (CUDA)532.1377.2B +41%
Blender Benchmark 2.83GPU, victor (CUDA)560.2383.5B +46.1%
Blender Benchmark 2.90GPU, victor (CUDA)532.1376.9B +41.2%
Blender Benchmark 2.82GPU, victor (OPTIX)258.5161.2B +60.4%
Blender Benchmark 2.83GPU, victor (OPTIX)260.1160.2B +62.3%
Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,072.72,189.4B +5.6%
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,282.52,427.4B +6.4%
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,245.72,447.3B +9%
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,322.62,467.7B +6.2%
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,275.92,394.9B +5.2%
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,452.82,619B +6.8%
Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,450.52,604.6B +6.3%
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,159.92,374.9B +10%
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,222.62,262.8B +1.8%
Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,085.92,228.4B +6.8%
Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,131.72,225.8B +4.4%

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

Reference results (72)
BenchmarkABDifference
Blender Benchmark 2.81GPU, barbershop_interior (CUDA)1,086.1574.1reference
Blender Benchmark 2.81aGPU, barbershop_interior (CUDA)1,072.6559.4reference
Blender Benchmark 2.81GPU, barbershop_interior (OPTIX)1,907.1970.4reference
Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX)1,721.5979.6reference
Blender Benchmark 2.81GPU, bmw27 (CUDA)6449.3reference
Blender Benchmark 2.90.1GPU, bmw27 (CUDA)70.1—no pair
Blender Benchmark 2.91.2GPU, bmw27 (CUDA)69.851.6reference
Blender Benchmark 2.81GPU, bmw27 (OPTIX)30.926.7reference
Blender Benchmark 2.91.2GPU, bmw27 (OPTIX)31.626.2reference
Blender Benchmark 2.92GPU, bmw27 (OPTIX)3026.5reference
Blender Benchmark 2.81GPU, classroom (CUDA)309.9168.4reference
Blender Benchmark 2.90.1GPU, classroom (CUDA)340.3—no pair
Blender Benchmark 2.91.2GPU, classroom (CUDA)321.4172.6reference
Blender Benchmark 2.92GPU, classroom (CUDA)318.4177.3reference
Blender Benchmark 2.81GPU, classroom (OPTIX)159.4101.3reference
Blender Benchmark 2.91.2GPU, classroom (OPTIX)170.4100.2reference
Blender Benchmark 2.92GPU, classroom (OPTIX)168.1103reference
Blender Benchmark 2.93.1GPU, classroom (OPTIX)177.3104.5reference
Blender Benchmark 2.81GPU, fishy_cat (CUDA)118.188reference
Blender Benchmark 2.90.1GPU, fishy_cat (CUDA)131.1—no pair
Blender Benchmark 2.91.2GPU, fishy_cat (CUDA)122.691.3reference
Blender Benchmark 2.92GPU, fishy_cat (CUDA)117.996.4reference
Blender Benchmark 2.81GPU, fishy_cat (OPTIX)55.143.3reference
Blender Benchmark 2.81aGPU, fishy_cat (OPTIX)56.343.7reference
Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX)61.845.5reference
Blender Benchmark 2.92GPU, fishy_cat (OPTIX)62.151.5reference
Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX)63.450.8reference
Blender Benchmark 2.81GPU, koro (CUDA)209.7153.5reference
Blender Benchmark 2.90.1GPU, koro (CUDA)213.3—no pair
Blender Benchmark 2.91.2GPU, koro (CUDA)196.1154.6reference
Blender Benchmark 2.92GPU, koro (CUDA)186.9157.8reference
Blender Benchmark 2.81GPU, koro (OPTIX)102.482reference
Blender Benchmark 2.81aGPU, koro (OPTIX)105.683.3reference
Blender Benchmark 2.91.2GPU, koro (OPTIX)12398.4reference
Blender Benchmark 2.92GPU, koro (OPTIX)133.3172.6reference
Blender Benchmark 2.93.1GPU, koro (OPTIX)126.5104.1reference
Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA)458.6287.5reference
Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA)505.9—no pair
Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA)445.3283.7reference
Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA)429.3285.3reference
Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX)192.5130.3reference
Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX)194.8132.8reference
Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX)196.3129.8reference
Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX)197.3130.6reference
Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX)205.1135.5reference
Blender Benchmark 2.81GPU, victor (CUDA)545.7382.7reference
Blender Benchmark 2.90.1GPU, victor (CUDA)528.8—no pair
Blender Benchmark 2.91.2GPU, victor (CUDA)554.3360.5reference
Blender Benchmark 2.92GPU, victor (CUDA)574.2434.6reference
Blender Benchmark 2.81GPU, victor (OPTIX)255.7167.1reference
Blender Benchmark 2.81aGPU, victor (OPTIX)261.9166.4reference
Blender Benchmark 2.91.2GPU, victor (OPTIX)252.2152reference
Blender Benchmark 2.92GPU, victor (OPTIX)268.9192reference
Blender Benchmark 2.93.1GPU, victor (OPTIX)273.2183.9reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA)1,401.3—no pair
Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,404.91,556.4reference
Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA)1,347.91,531.1reference
Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,375.71,546.7reference
Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,467.2—no pair
Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,433.11,562.2reference
Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,406.21,460.8reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA)1,246.1—no pair
Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,829.92,143.1reference
Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,926.62,079.7reference
Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,300.42,522.5reference
Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,178.6—no pair
Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,2662,413.7reference
Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)1,896.12,072.4reference
Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)2,031.82,123.5reference
Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,580.6no pair
Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA)—1,569.9no pair
Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal)—2,338.4no pair

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

Specifications

Chip

  • GPU chip

    ATU106-400A-A1

    BTU104-410-A1

    differs
  • Architecture

    ATuring

    BTuring

    equal
  • Shader units

    A2,304 (CUDA cores)

    B2,560 (CUDA cores)

    B: 256 more

    Shader unit counts are comparable only within one architecture.

Clocks

  • Base clock

    A1,410 MHz

    B1,605 MHz

    B: 195 MHz more
  • Boost clock

    A1,620 MHz

    B1,770 MHz

    B: 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

    A8 GB

    B8 GB

    equal
  • Memory type

    AGDDR6

    BGDDR6

    equal
  • Memory bus

    A256 bit

    B256 bit

    equal
  • Memory bandwidth

    A448 GB/s

    B448 GB/s

    equal

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

Power and dimensions

  • Board power

    A175 W (TDP)

    B215 W (TDP)

    B: 40 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 RTX 2070 and NVIDIA GeForce RTX 2070 SUPER have?

NVIDIA GeForce RTX 2070: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 2070 SUPER: 8 GB GDDR6, 256-bit bus.

Which is faster: NVIDIA GeForce RTX 2070 or NVIDIA GeForce RTX 2070 SUPER?

NVIDIA GeForce RTX 2070 SUPER 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 RTX 2070, specifications of NVIDIA GeForce RTX 2070 SUPER, 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 2.90.1, 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 3.2.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0checked November 14, 2026

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

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