GeForce GTX 1660 SUPER vs GeForce RTX 2070: specs and benchmark comparison
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 AIRendering and compute
B +199.6%NVIDIA GeForce RTX 2070 leads in this scenario (up to 199.6% 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 SUPER is better2
Board power 50 W lower125 W (TDP) vs 175 W (TDP)
Launch price $270 lower$229 vs $499
Where GeForce RTX 2070 is better13
Blender Benchmark 2.93.1 38.6% lower59 s vs 82 s
Blender Benchmark 2.90 152.6% lower30 s vs 77 s
Blender Benchmark 2.93.1 9.3% lower282 s vs 308 s
Blender Benchmark 2.90 86.2% lower166 s vs 310 s
Blender Benchmark 2.90 43% lower126 s vs 181 s
Blender Benchmark 2.90 47.8% lower195 s vs 288 s
Blender Benchmark 2.90 19.4% lower473 s vs 564 s
Blender Benchmark 2.90 29.9% lower532 s vs 691 s
Blender Benchmark 4.5.0 179.7% faster2,109 samples/min vs 754 samples/min
Shader units 896 more2,304 (CUDA cores) vs 1,408 (CUDA cores)
Video memory 2 GB more8 GB vs 6 GB
Memory bus 64 bit more256 bit vs 192 bit
Memory bandwidth 112 GB/s more448 GB/s vs 336 GB/s
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- B ahead by 38.6%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1660 SUPER81.6 sGeForce RTX 207058.8 sPosition among tested models (31, CUDA)
B · 59A · 820100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 is ahead by 38.6% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
81.6 s · community measurement, sample 46 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 46 submissions (1 outliers excluded), interquartile range 80.4–87.83; submissions 2021-07-10 to 2022-02-24; 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.
- B ahead by 152.6%
Blender Benchmark 2.90
GPU, bmw27 (OPTIX) · s, lower is better
GeForce GTX 1660 SUPER77 sGeForce RTX 207030.5 sPosition among tested models (17, OptiX)
B · 30A · 77050100150Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 is ahead by 152.6% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
77 s · community measurement, sample 43 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 43 submissions (4 outliers excluded), interquartile range 76.1–78.57; submissions 2020-09-04 to 2021-01-16; 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.
- B ahead by 9.3%
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce GTX 1660 SUPER308.4 sGeForce RTX 2070282.3 sPosition among tested models (26, CUDA)
B · 282A · 3080200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 is ahead by 9.3% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
308.4 s · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (2 outliers excluded), interquartile range 305.17–310.96; submissions 2021-07-16 to 2022-02-24; 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.
- B ahead by 86.2%
Blender Benchmark 2.90
GPU, classroom (OPTIX) · s, lower is better
GeForce GTX 1660 SUPER309.9 sGeForce RTX 2070166.4 sPosition among tested models (15, OptiX)
B · 166A · 3100100200300400Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 is ahead by 86.2% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
309.9 s · community measurement, sample 20 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 20 submissions (2 outliers excluded), interquartile range 305.49–311.77; submissions 2020-09-05 to 2021-01-16; OPTIX backend. Snapshot 2026-11-14.
- B · 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.
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.
- B ahead by 43%
Blender Benchmark 2.90
GPU, fishy_cat (CUDA) · s, lower is better
GeForce GTX 1660 SUPER180.5 sGeForce RTX 2070126.2 sPosition among tested models (22, CUDA)
B · 126A · 1810200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 is ahead by 43% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
180.5 s · community measurement, sample 106 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 106 submissions (24 outliers excluded), interquartile range 178.43–182.83; submissions 2020-09-02 to 2021-05-10; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070
126.2 s · community measurement, sample 126 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 126 submissions (15 outliers excluded), interquartile range 123.54–129.3; 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.
- B ahead by 47.8%
Blender Benchmark 2.90
GPU, koro (CUDA) · s, lower is better
GeForce GTX 1660 SUPER288.3 sGeForce RTX 2070195 sPosition among tested models (22, CUDA)
B · 195A · 2880200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 is ahead by 47.8% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
288.3 s · community measurement, sample 91 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 91 submissions (19 outliers excluded), interquartile range 284.81–290.84; submissions 2020-09-02 to 2021-01-30; 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.
- B ahead by 19.4%
Blender Benchmark 2.90
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce GTX 1660 SUPER564.4 sGeForce RTX 2070472.6 sPosition among tested models (23, CUDA)
B · 473A · 56405001,0001,500Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 is ahead by 19.4% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
564.4 s · community measurement, sample 99 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 99 submissions (15 outliers excluded), interquartile range 555.7–572.24; submissions 2020-09-02 to 2021-01-30; 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.
- B ahead by 29.9%
Blender Benchmark 2.90
GPU, victor (CUDA) · s, lower is better
GeForce GTX 1660 SUPER690.9 sGeForce RTX 2070532.1 sPosition among tested models (20, CUDA)
B · 532A · 69105001,0001,500Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 is ahead by 29.9% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
690.9 s · community measurement, sample 91 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 91 submissions (15 outliers excluded), interquartile range 679.94–700.55; submissions 2020-09-02 to 2021-05-10; 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.
- B ahead by 179.7%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GTX 1660 SUPER753.8 samples/minGeForce RTX 20702,108.7 samples/minPosition among tested models (67, OptiX)
A · 754B · 2,10905,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 2070 is ahead by 179.7% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
753.8 samples/min · community measurement, sample 102 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 102 submissions (10 outliers excluded), interquartile range 722.53–764.51; submissions 2025-07-20 to 2026-04-11; 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 (26)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 89.6 | 64.2 | B +39.5% |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 90.6 | 67.6 | B +34% |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 94.8 | 67.8 | B +39.8% |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 95.3 | 67.8 | B +40.6% |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 322.1 | 297.9 | B +8.1% |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 331.8 | 306.1 | B +8.4% |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 331.9 | 310.5 | B +6.9% |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 171.9 | 119.9 | B +43.3% |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 177.3 | 129.7 | B +36.6% |
| Blender Benchmark 2.82GPU, koro (CUDA) | 287.8 | 211.6 | B +36% |
| Blender Benchmark 2.83GPU, koro (CUDA) | 302.8 | 226.1 | B +33.9% |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 546.3 | 456.1 | B +19.8% |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 543.6 | 461.6 | B +17.8% |
| Blender Benchmark 2.82GPU, victor (CUDA) | 696.3 | 532.1 | B +30.9% |
| Blender Benchmark 2.83GPU, victor (CUDA) | 714.8 | 560.2 | B +27.6% |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 754.8 | 2,072.7 | B +174.6% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 825.9 | 2,282.5 | B +176.4% |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 809.1 | 2,245.7 | B +177.5% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 820.6 | 2,322.6 | B +183% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 779.4 | 2,275.9 | B +192% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 818.7 | 2,452.8 | B +199.6% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 831.8 | 2,450.5 | B +194.6% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 751.9 | 2,159.9 | B +187.3% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 768.9 | 2,222.6 | B +189.1% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 750.8 | 2,085.9 | B +177.8% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 735.9 | 2,131.7 | B +189.7% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (104)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 1,123.5 | 1,086.1 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,096.4 | 1,072.6 | reference |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 88.6 | 64 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 88.3 | 64.9 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 93.6 | 69.8 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 77.4 | 31.6 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 76.9 | 30 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 79.7 | 33 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 333.9 | 309.9 | reference |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 336.8 | 312.4 | reference |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 330.7 | 340.3 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 336.4 | 321.4 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 351.8 | 318.4 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 307 | 170.4 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 315.3 | 168.1 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 311.6 | 177.3 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 153.9 | 118.1 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 165.4 | 119.3 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 167.5 | 122.6 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 194.3 | 117.9 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 176 | 111.6 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 154.1 | 54.8 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 153.7 | 61.8 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 173.8 | 62.1 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 152.6 | 63.4 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 287.5 | 209.7 | reference |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 287.3 | 212.8 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 271.1 | 196.1 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 293 | 186.9 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 280.1 | 183.1 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 191.4 | 115.2 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 192.1 | 123 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 192.9 | 126.5 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 546.3 | 458.6 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 543 | 457.8 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 527.6 | 445.3 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 555.9 | 429.3 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 499.7 | 410.2 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 439.1 | 193.2 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 443.9 | 196.3 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 431.2 | 205.1 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 704.3 | 545.7 | reference |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 702 | 548.4 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 686.4 | 554.3 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 845.4 | 574.2 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 757 | 518.5 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 604.1 | 230.6 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 605.4 | 252.2 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 1,041 | 273.2 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 847.7 | 1,401.3 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 858.5 | 1,404.9 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 851 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 884.3 | 1,347.9 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 895.9 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 823.1 | 1,375.7 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 945.9 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 650.6 | 1,433.1 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 834.7 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 847.8 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 864.9 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 700.4 | 1,829.9 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 679.1 | 1,926.6 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 850.6 | 2,300.4 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 807 | 2,178.6 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 843.2 | 2,266 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 616.7 | 1,896.1 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 692 | 2,031.8 | reference |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | — | 1,907.1 | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | — | 1,721.5 | no pair |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | — | 70.1 | no pair |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | — | 30.9 | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | — | 30.5 | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | — | 30.8 | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | — | 30.6 | no pair |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | — | 159.4 | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | — | 164.5 | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | — | 165 | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | — | 168.2 | no pair |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | — | 131.1 | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | — | 55.1 | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | — | 56.3 | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | — | 58.2 | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | — | 59.1 | no pair |
| Blender Benchmark 2.90.1GPU, koro (CUDA) | — | 213.3 | no pair |
| Blender Benchmark 2.81GPU, koro (OPTIX) | — | 102.4 | no pair |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | — | 105.6 | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | — | 103.5 | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | — | 105.7 | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | — | 133.3 | no pair |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA) | — | 505.9 | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | — | 192.5 | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | — | 194.8 | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | — | 196.2 | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | — | 194.8 | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | — | 197.3 | no pair |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | — | 528.8 | no pair |
| Blender Benchmark 2.81GPU, victor (OPTIX) | — | 255.7 | no pair |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | — | 261.9 | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | — | 258.5 | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | — | 260.1 | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | — | 268.9 | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,467.2 | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,406.2 | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,246.1 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GTX 1660 SUPER | B · GeForce RTX 2070 | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU116-300-A1 | TU106-400A-A1 | differs |
| Architecture | Turing | Turing | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,408 (CUDA cores) | 2,304 (CUDA cores) | B: 896 more |
| Clocks | |||
| Base clock | 1,530 MHz | 1,410 MHz | A: 120 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,785 MHz | 1,620 MHz | A: 165 MHz more |
| Memory | |||
| Video memory | 6 GB | 8 GB | B: 2 GB more |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 192 bit | 256 bit | B: 64 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 336 GB/s | 448 GB/s | B: 112 GB/s more |
| Power and dimensions | |||
| Board powerTGP (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. | 125 W (TDP) | 175 W (TDP) | B: 50 W higher |
Chip
GPU chip
ATU116-300-A1
BTU106-400A-A1
differsArchitecture
ATuring
BTuring
equalShader units
A1,408 (CUDA cores)
B2,304 (CUDA cores)
B: 896 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,530 MHz
B1,410 MHz
A: 120 MHz moreBoost clock
A1,785 MHz
B1,620 MHz
A: 165 MHz moreClocks 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 moreMemory type
AGDDR6
BGDDR6
equalMemory bus
A192 bit
B256 bit
B: 64 bit moreMemory bandwidth
A336 GB/s
B448 GB/s
B: 112 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A125 W (TDP)
B175 W (TDP)
B: 50 W higherTGP (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.
Questions and answers
How much video memory do NVIDIA GeForce GTX 1660 SUPER and NVIDIA GeForce RTX 2070 have?
NVIDIA GeForce GTX 1660 SUPER: 6 GB GDDR6, 192-bit bus. NVIDIA GeForce RTX 2070: 8 GB GDDR6, 256-bit bus.
Which is faster: NVIDIA GeForce GTX 1660 SUPER 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.
See also
Data sources (2)
- Wikipedia (English) — specifications of NVIDIA GeForce GTX 1660 SUPER, 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 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.1.2, 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.