GeForce GTX 1080 Ti vs GeForce RTX 2060: specs and benchmark comparison
Rendering and compute
depends on the taskBenchmark 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 1080 Ti is better8
Blender Benchmark 2.93.1 24.6% lower56 s vs 70 s
Blender Benchmark 2.93.1 73% lower172 s vs 297 s
Blender Benchmark 2.93.1 6.8% lower124 s vs 133 s
Blender Benchmark 2.93.1 8.3% lower220 s vs 239 s
Blender Benchmark 2.93.1 40.9% lower311 s vs 438 s
Blender Benchmark 2.93.1 19.5% lower521 s vs 623 s
Video memory 5 GB more11 GB vs 6 GB
Memory bus 160 bit more352 bit vs 192 bit
Where GeForce RTX 2060 is better3
Blender Benchmark 2.93.1 48.5% lower42 s vs 63 s
Blender Benchmark 2.90 32.6% lower160 s vs 213 s
Blender Benchmark 4.5.0 91.6% faster1,574 samples/min vs 821 samples/min
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- A ahead by 24.6%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1080 Ti56.2 sGeForce RTX 206070 sPosition among tested models (31, CUDA)
A · 56B · 700100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1080 Ti is ahead by 24.6% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080 Ti
56.2 s · community measurement, sample 76 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 76 submissions (6 outliers excluded), interquartile range 55.4–57.39; submissions 2021-07-11 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
70 s · community measurement, sample 99 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 99 submissions (4 outliers excluded), interquartile range 65.53–74.02; submissions 2021-07-09 to 2022-02-27; 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 48.5%
Blender Benchmark 2.93.1
GPU, bmw27 (OPTIX) · s, lower is better
GeForce GTX 1080 Ti62.7 sGeForce RTX 206042.2 sPosition among tested models (20, OptiX)
B · 42A · 63050100150Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 is ahead by 48.5% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080 Ti
62.7 s · community measurement, sample 23 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 23 submissions (1 outliers excluded), interquartile range 60.35–64.88; submissions 2021-07-14 to 2022-02-09; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
42.2 s · community measurement, sample 81 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 81 submissions (1 outliers excluded), interquartile range 39.94–47.39; submissions 2021-07-09 to 2022-02-22; 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.
- A ahead by 73%
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce GTX 1080 Ti172 sGeForce RTX 2060297.5 sPosition among tested models (26, CUDA)
A · 172B · 2970200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1080 Ti is ahead by 73% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080 Ti
172 s · community measurement, sample 58 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 58 submissions (7 outliers excluded), interquartile range 169.09–175.74; submissions 2021-07-19 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
297.5 s · community measurement, sample 68 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 68 submissions (13 outliers excluded), interquartile range 281.72–323.97; submissions 2021-07-09 to 2022-02-27; 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 32.6%
Blender Benchmark 2.90
GPU, classroom (OPTIX) · s, lower is better
GeForce GTX 1080 Ti212.6 sGeForce RTX 2060160.3 sPosition among tested models (15, OptiX)
B · 160A · 2130100200300400Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 is ahead by 32.6% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080 Ti
212.6 s · community measurement, sample 23 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 23 submissions (1 outliers excluded), interquartile range 203.94–221.54; submissions 2020-09-06 to 2022-01-26; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
160.3 s · community measurement, sample 127 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 127 submissions (0 outliers excluded), interquartile range 132.46–176.11; submissions 2020-09-02 to 2022-01-01; 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.
- A ahead by 6.8%
Blender Benchmark 2.93.1
GPU, fishy_cat (CUDA) · s, lower is better
GeForce GTX 1080 Ti124.3 sGeForce RTX 2060132.7 sPosition among tested models (21, CUDA)
A · 124B · 1330100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1080 Ti is ahead by 6.8% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080 Ti
124.3 s · community measurement, sample 46 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 46 submissions (8 outliers excluded), interquartile range 122.73–126.56; submissions 2021-07-21 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
132.7 s · community measurement, sample 51 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 51 submissions (7 outliers excluded), interquartile range 125.23–140.84; submissions 2021-07-09 to 2022-02-27; 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.
- A ahead by 8.3%
Blender Benchmark 2.93.1
GPU, koro (CUDA) · s, lower is better
GeForce GTX 1080 Ti220.4 sGeForce RTX 2060238.7 sPosition among tested models (20, CUDA)
A · 220B · 2390200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1080 Ti is ahead by 8.3% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080 Ti
220.4 s · community measurement, sample 41 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 41 submissions (8 outliers excluded), interquartile range 218.9–224.53; submissions 2021-07-21 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
238.7 s · community measurement, sample 47 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 47 submissions (7 outliers excluded), interquartile range 229.05–251.72; submissions 2021-07-09 to 2022-02-27; 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.
- A ahead by 40.9%
Blender Benchmark 2.93.1
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce GTX 1080 Ti310.6 sGeForce RTX 2060437.6 sPosition among tested models (21, CUDA)
A · 311B · 4380200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1080 Ti is ahead by 40.9% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080 Ti
310.6 s · community measurement, sample 42 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 42 submissions (10 outliers excluded), interquartile range 308.52–315.53; submissions 2021-07-21 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
437.6 s · community measurement, sample 56 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 56 submissions (7 outliers excluded), interquartile range 413.2–473.78; submissions 2021-07-09 to 2022-02-27; 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.
- A ahead by 19.5%
Blender Benchmark 2.93.1
GPU, victor (CUDA) · s, lower is better
GeForce GTX 1080 Ti521.3 sGeForce RTX 2060622.7 sPosition among tested models (19, CUDA)
A · 521B · 62302505007501,000Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1080 Ti is ahead by 19.5% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080 Ti
521.3 s · community measurement, sample 41 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 41 submissions (8 outliers excluded), interquartile range 514.79–527.59; submissions 2021-07-21 to 2022-02-24; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
622.7 s · community measurement, sample 48 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 48 submissions (5 outliers excluded), interquartile range 581.47–658.17; submissions 2021-07-09 to 2022-02-27; 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 91.6%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GTX 1080 Ti821.4 samples/minGeForce RTX 20601,573.6 samples/minPosition among tested models (67, OptiX)
A · 821B · 1,57405,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 2060 is ahead by 91.6% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080 Ti
821.4 samples/min · community measurement, sample 57 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 57 submissions (6 outliers excluded), interquartile range 808.6–840.55; submissions 2025-07-18 to 2026-03-07; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
1,573.6 samples/min · community measurement, sample 162 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 162 submissions (6 outliers excluded), interquartile range 1437.27–1643.46; submissions 2025-07-20 to 2026-07-05; 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 (48)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 62.5 | 75.1 | A +20% |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 63.2 | 74.2 | A +17.4% |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 62.2 | 74.3 | A +19.4% |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 64.1 | 74.6 | A +16.3% |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 69.9 | 79.9 | A +14.4% |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 64.3 | 78.6 | A +22.4% |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 61.2 | 35.4 | B +72.9% |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 189.1 | 310.6 | A +64.3% |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 192.2 | 322.2 | A +67.6% |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 192.3 | 295.4 | A +53.6% |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 194.8 | 297.5 | A +52.7% |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 197.9 | 310.5 | A +56.8% |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 185 | 327.1 | A +76.8% |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 119.6 | 127.5 | A +6.6% |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 121.3 | 127.4 | A +5% |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 123.4 | 130.9 | A +6.1% |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 124.1 | 133.2 | A +7.4% |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 127.4 | 139.4 | A +9.4% |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 119.1 | 136.9 | A +15% |
| Blender Benchmark 2.81GPU, koro (CUDA) | 245.9 | 258.2 | A +5% |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 248.4 | 252.8 | A +1.8% |
| Blender Benchmark 2.82GPU, koro (CUDA) | 245.2 | 249.4 | A +1.7% |
| Blender Benchmark 2.83GPU, koro (CUDA) | 236 | 258.3 | A +9.5% |
| Blender Benchmark 2.90GPU, koro (CUDA) | 216.7 | 252.5 | A +16.5% |
| Blender Benchmark 2.92GPU, koro (CUDA) | 213.3 | 259.9 | A +21.8% |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 331 | 488 | A +47.4% |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 330.5 | 490.1 | A +48.3% |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 329.7 | 478 | A +45% |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 337.5 | 473.2 | A +40.2% |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 359 | 494.2 | A +37.7% |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 334.7 | 481.8 | A +43.9% |
| Blender Benchmark 2.81GPU, victor (CUDA) | 493.3 | 597.7 | A +21.2% |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 491.8 | 603.5 | A +22.7% |
| Blender Benchmark 2.82GPU, victor (CUDA) | 487.7 | 588.8 | A +20.7% |
| Blender Benchmark 2.83GPU, victor (CUDA) | 478.1 | 603.8 | A +26.3% |
| Blender Benchmark 2.90GPU, victor (CUDA) | 472.4 | 587.9 | A +24.5% |
| Blender Benchmark 2.92GPU, victor (CUDA) | 521.5 | 644.8 | A +23.6% |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 821.5 | 1,524.6 | B +85.6% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 868 | 1,712.1 | B +97.3% |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 883.9 | 1,743.7 | B +97.3% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 878.4 | 1,759.7 | B +100.3% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 879.8 | 1,713.7 | B +94.8% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 889.7 | 1,830.5 | B +105.7% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 889.8 | 1,856.7 | B +108.7% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 830.7 | 1,613.2 | B +94.2% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 842.2 | 1,627.8 | B +93.3% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 829 | 1,529 | B +84.4% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 820.8 | 1,522.9 | B +85.6% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (83)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 529.5 | 1,092.5 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 532.3 | 1,058.5 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 65.4 | 80.7 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 61.8 | 36.9 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 61.3 | 37.1 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 193.9 | 332.4 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 216.5 | 175.6 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 221.1 | 179.7 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 221.4 | 176.5 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 122.4 | 133.8 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 115.4 | 63.7 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 115.5 | 66.5 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 119.4 | 74.7 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 117.4 | 74.6 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 214.6 | 247.1 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 132.1 | 137.4 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 133.7 | 139.8 | reference |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 172.2 | 239 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 135.1 | 150.8 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 341.4 | 468.9 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 330.9 | 180.9 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 326.6 | 215.6 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 333.8 | 211.5 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 334.1 | 209.8 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 460.2 | 595.1 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 447.9 | 234.2 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 436.1 | 263.6 | reference |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 480.3 | 299.6 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 462.5 | 288.8 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 936.1 | 548 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 873.8 | 1,079.4 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 895.1 | 991.6 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 976.1 | 946.5 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 931.9 | 983.7 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 928.2 | 1,194.1 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 960.5 | 1,223 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 886.4 | 1,087.6 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 905.1 | 1,136.9 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 925.1 | 874.8 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 969.1 | 977.2 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 685.3 | 1,522.3 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 699.6 | 1,426.3 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 935.9 | 1,886.9 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 780.2 | 905 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 888.7 | 1,762.8 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 726.9 | 1,447.5 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 695.2 | 1,487.3 | reference |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | — | 1,892.7 | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | — | 1,781.1 | no pair |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | — | 93.5 | no pair |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | — | 38.8 | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | — | 37.3 | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | — | 37.2 | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | — | 35.5 | no pair |
| Blender Benchmark 2.90.1GPU, bmw27 (OPTIX) | — | 40.9 | no pair |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | — | 351 | no pair |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | — | 188.9 | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | — | 163.1 | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | — | 159.5 | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | — | 142.7 | no pair |
| Blender Benchmark 2.90.1GPU, classroom (OPTIX) | — | 180.1 | no pair |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | — | 161.9 | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | — | 70.5 | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | — | 63.6 | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | — | 63.4 | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | — | 63 | no pair |
| Blender Benchmark 2.81GPU, koro (OPTIX) | — | 135.3 | no pair |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | — | 117.6 | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | — | 112.9 | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | — | 111 | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | — | 226.7 | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | — | 203.4 | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | — | 194.8 | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | — | 183.2 | no pair |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | — | 646.8 | no pair |
| Blender Benchmark 2.81GPU, victor (OPTIX) | — | 364.1 | no pair |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | — | 382.8 | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | — | 265.1 | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | — | 255.7 | no pair |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 315.1 | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,011.9 | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,115.4 | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,032.5 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GTX 1080 Ti | B · GeForce RTX 2060 | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | GP102-350-K1-A1 | no data | no data for B |
| Architecture | Pascal | Turing | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 3,584 (CUDA cores) | 1,920 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,481 MHz | 1,370 MHz | A: 111 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,582 MHz | 1,680 MHz | B: 98 MHz more |
| Memory | |||
| Video memory | 11 GB | 6 GB | A: 5 GB more |
| Memory type | GDDR5X | GDDR6 | differs |
| Memory bus | 352 bit | 192 bit | A: 160 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 484.4 GB/s | no data | no data for B |
| 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. | 250 W (TDP) | 160 W (board power) | not directly comparable |
| Recommended PSU | no data | 500 W | no data for A |
| Interface | PCIe 3.0 x16 | PCIe 3.0 | differs |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | no data | 229 mm | no data for A |
| Thickness (slots) | no data | 2 | no data for A |
| Power connectors (reference) | no data | 1x 8-pin | no data for A |
Chip
GPU chip
AGP102-350-K1-A1
Bno data
no data for BArchitecture
APascal
BTuring
differsShader units
A3,584 (CUDA cores)
B1,920 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,481 MHz
B1,370 MHz
A: 111 MHz moreBoost clock
A1,582 MHz
B1,680 MHz
B: 98 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
A11 GB
B6 GB
A: 5 GB moreMemory type
AGDDR5X
BGDDR6
differsMemory bus
A352 bit
B192 bit
A: 160 bit moreMemory bandwidth
A484.4 GB/s
Bno data
no data for BExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A250 W (TDP)
B160 W (board power)
not directly comparableTGP (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.
Recommended PSU
Ano data
B500 W
no data for AInterface
APCIe 3.0 x16
BPCIe 3.0
differsLength (reference / Founders Edition)
Ano data
B229 mm
no data for APartner cards have different dimensions; check the specific SKU.
Thickness (slots)
Ano data
B2
no data for APower connectors (reference)
Ano data
B1x 8-pin
no data for A
“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 1080 Ti and NVIDIA GeForce RTX 2060 have?
NVIDIA GeForce GTX 1080 Ti: 11 GB GDDR5X, 352-bit bus. NVIDIA GeForce RTX 2060: 6 GB GDDR6, 192-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce GTX 1080 Ti: PCIe 3.0 x16. NVIDIA GeForce RTX 2060: PCIe 3.0.
Which is faster: NVIDIA GeForce GTX 1080 Ti or NVIDIA GeForce RTX 2060?
It depends on the task: rendering and compute: results disagree.
See also
Data sources (3)
- Wikipedia (English) — specifications of NVIDIA GeForce GTX 1080 Ti, release date and launch pricechecked November 14, 2026
- NVIDIA — specifications of NVIDIA GeForce RTX 2060checked November 7, 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 3.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 4.3.0, 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.