GeForce GTX 1080 Ti vs GeForce RTX 2080 Ti: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 2080 Ti 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 +277.9%NVIDIA GeForce RTX 2080 Ti leads in this scenario (up to 277.9% 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 1080 Ti is better1
Launch price $300 lower$699 vs $999
Where GeForce RTX 2080 Ti is better10
Blender Benchmark 2.93.1 65.8% lower34 s vs 56 s
Blender Benchmark 2.93.1 183.7% lower22 s vs 63 s
Blender Benchmark 2.93.1 25.2% lower137 s vs 172 s
Blender Benchmark 2.90 158.8% lower82 s vs 213 s
Blender Benchmark 2.93.1 92.3% lower65 s vs 124 s
Blender Benchmark 2.93.1 115.1% lower102 s vs 220 s
Blender Benchmark 2.93.1 49.3% lower208 s vs 311 s
Blender Benchmark 2.93.1 84.8% lower282 s vs 521 s
Blender Benchmark 4.5.0 246.4% faster2,845 samples/min vs 821 samples/min
Memory bandwidth 131.6 GB/s more616 GB/s vs 484.4 GB/s
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- 1.6% difference, within the threshold
Blender Benchmark 2.81
GPU, barbershop_interior (CUDA) · s, lower is better
GeForce GTX 1080 Ti529.5 sGeForce RTX 2080 Ti521.2 sPosition among tested models (4, CUDA)
B · 521A · 53002505007501,000Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 1.6% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce GTX 1080 Ti
529.5 s · community measurement, sample 26 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 26 submissions (0 outliers excluded), interquartile range 513.35–551.47; submissions 2020-01-09 to 2020-01-26; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 Ti
521.2 s · community measurement, sample 30 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 30 submissions (1 outliers excluded), interquartile range 507.17–543.11; submissions 2020-01-09 to 2020-01-24; 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 65.8%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1080 Ti56.2 sGeForce RTX 2080 Ti33.9 sPosition among tested models (31, CUDA)
B · 34A · 560100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 Ti is ahead by 65.8% 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 2080 Ti
33.9 s · community measurement, sample 53 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 53 submissions (8 outliers excluded), interquartile range 33.42–34.68; submissions 2021-07-15 to 2022-02-20; 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 183.7%
Blender Benchmark 2.93.1
GPU, bmw27 (OPTIX) · s, lower is better
GeForce GTX 1080 Ti62.7 sGeForce RTX 2080 Ti22.1 sPosition among tested models (20, OptiX)
B · 22A · 63050100150Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 Ti is ahead by 183.7% 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 2080 Ti
22.1 s · community measurement, sample 39 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 39 submissions (1 outliers excluded), interquartile range 20.82–22.62; submissions 2021-07-18 to 2022-02-25; 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 25.2%
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce GTX 1080 Ti172 sGeForce RTX 2080 Ti137.4 sPosition among tested models (26, CUDA)
B · 137A · 1720200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 Ti is ahead by 25.2% 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 2080 Ti
137.4 s · community measurement, sample 45 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 45 submissions (5 outliers excluded), interquartile range 133.31–141.35; submissions 2021-07-17 to 2022-02-20; 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 158.8%
Blender Benchmark 2.90
GPU, classroom (OPTIX) · s, lower is better
GeForce GTX 1080 Ti212.6 sGeForce RTX 2080 Ti82.1 sPosition among tested models (15, OptiX)
B · 82A · 2130100200300400Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 Ti is ahead by 158.8% 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 2080 Ti
82.1 s · community measurement, sample 131 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 131 submissions (7 outliers excluded), interquartile range 80.74–85.51; submissions 2020-09-02 to 2021-02-01; 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.
- B ahead by 92.3%
Blender Benchmark 2.93.1
GPU, fishy_cat (CUDA) · s, lower is better
GeForce GTX 1080 Ti124.3 sGeForce RTX 2080 Ti64.6 sPosition among tested models (21, CUDA)
B · 65A · 1240100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 Ti is ahead by 92.3% 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 2080 Ti
64.6 s · community measurement, sample 37 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 37 submissions (7 outliers excluded), interquartile range 63.21–66.02; submissions 2021-07-17 to 2022-02-20; 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 115.1%
Blender Benchmark 2.93.1
GPU, koro (CUDA) · s, lower is better
GeForce GTX 1080 Ti220.4 sGeForce RTX 2080 Ti102.5 sPosition among tested models (20, CUDA)
B · 102A · 2200200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 Ti is ahead by 115.1% 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 2080 Ti
102.5 s · community measurement, sample 36 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 36 submissions (6 outliers excluded), interquartile range 100.68–104.8; submissions 2021-07-17 to 2022-02-20; 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 49.3%
Blender Benchmark 2.93.1
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce GTX 1080 Ti310.6 sGeForce RTX 2080 Ti208.1 sPosition among tested models (21, CUDA)
B · 208A · 3110200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 Ti is ahead by 49.3% 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 2080 Ti
208.1 s · community measurement, sample 40 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 40 submissions (4 outliers excluded), interquartile range 200.44–213.46; submissions 2021-07-17 to 2022-02-20; 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 84.8%
Blender Benchmark 2.93.1
GPU, victor (CUDA) · s, lower is better
GeForce GTX 1080 Ti521.3 sGeForce RTX 2080 Ti282 sPosition among tested models (19, CUDA)
B · 282A · 52102505007501,000Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 Ti is ahead by 84.8% 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 2080 Ti
282 s · community measurement, sample 34 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 34 submissions (7 outliers excluded), interquartile range 274.18–287.61; submissions 2021-07-17 to 2022-02-20; 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 246.4%
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 2080 Ti2,845.2 samples/minPosition among tested models (67, OptiX)
A · 821B · 2,84505,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 2080 Ti is ahead by 246.4% 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 2080 Ti
2,845.2 samples/min · community measurement, sample 131 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 131 submissions (5 outliers excluded), interquartile range 2732.17–2950.36; submissions 2025-07-18 to 2026-03-23; 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 (49)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 532.3 | 514 | B +3.6% |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 62.5 | 37.5 | B +66.7% |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 63.2 | 37.4 | B +69.2% |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 62.2 | 37.7 | B +65.1% |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 64.1 | 38.2 | B +67.7% |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 69.9 | 40.1 | B +74% |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 64.3 | 39.1 | B +64.2% |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 61.2 | 19 | B +221.9% |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 189.1 | 153.5 | B +23.2% |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 192.2 | 153.6 | B +25.1% |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 192.3 | 147.3 | B +30.6% |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 194.8 | 151.1 | B +28.9% |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 197.9 | 151.7 | B +30.5% |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 185 | 159.2 | B +16.2% |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 119.6 | 66.4 | B +80.2% |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 121.3 | 67.1 | B +80.9% |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 123.4 | 68.4 | B +80.3% |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 124.1 | 71 | B +74.7% |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 127.4 | 72.9 | B +74.7% |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 119.1 | 70.9 | B +67.9% |
| Blender Benchmark 2.81GPU, koro (CUDA) | 245.9 | 112.9 | B +117.9% |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 248.4 | 114.5 | B +116.8% |
| Blender Benchmark 2.82GPU, koro (CUDA) | 245.2 | 113.4 | B +116.1% |
| Blender Benchmark 2.83GPU, koro (CUDA) | 236 | 120.2 | B +96.3% |
| Blender Benchmark 2.90GPU, koro (CUDA) | 216.7 | 116.5 | B +86% |
| Blender Benchmark 2.92GPU, koro (CUDA) | 213.3 | 111.1 | B +92% |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 331 | 234.9 | B +40.9% |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 330.5 | 236.4 | B +39.8% |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 329.7 | 234.3 | B +40.7% |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 337.5 | 236 | B +43% |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 359 | 242.3 | B +48.2% |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 334.7 | 225.1 | B +48.7% |
| Blender Benchmark 2.81GPU, victor (CUDA) | 493.3 | 288.3 | B +71.1% |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 491.8 | 290 | B +69.6% |
| Blender Benchmark 2.82GPU, victor (CUDA) | 487.7 | 282.3 | B +72.8% |
| Blender Benchmark 2.83GPU, victor (CUDA) | 478.1 | 290.2 | B +64.7% |
| Blender Benchmark 2.90GPU, victor (CUDA) | 472.4 | 277.9 | B +70% |
| Blender Benchmark 2.92GPU, victor (CUDA) | 521.5 | 330 | B +58% |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 821.5 | 2,799.5 | B +240.8% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 868 | 3,084.5 | B +255.4% |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 883.9 | 3,235.5 | B +266.1% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 878.4 | 3,223 | B +266.9% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 879.8 | 3,218.9 | B +265.9% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 889.7 | 3,362.6 | B +277.9% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 889.8 | 3,343.5 | B +275.8% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 830.7 | 2,872.1 | B +245.7% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 842.2 | 2,903.2 | B +244.7% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 829 | 2,818.4 | B +240% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 820.8 | 2,792.6 | B +240.3% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (72)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 65.4 | 38.8 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 61.8 | 19.3 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 61.3 | 19.8 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 193.9 | 154.7 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 216.5 | 84.5 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 221.1 | 84.2 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 221.4 | 86.2 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 122.4 | 67.6 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 115.4 | 30.2 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 115.5 | 30.5 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 119.4 | 33.1 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 117.4 | 33.5 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 214.6 | 108.6 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 132.1 | 59.4 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 133.7 | 59.2 | reference |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 172.2 | 98.4 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 135.1 | 63.5 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 341.4 | 223.3 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 330.9 | 98 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 326.6 | 99.5 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 333.8 | 100.2 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 334.1 | 105.1 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 460.2 | 270.2 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 447.9 | 116.6 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 436.1 | 118.1 | reference |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 480.3 | 137.1 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 462.5 | 137.9 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 936.1 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 873.8 | 2,112.4 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 895.1 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 976.1 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 931.9 | 2,233.4 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 928.2 | 2,461.2 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 960.5 | 2,495.4 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 886.4 | 2,225.7 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 905.1 | — | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 925.1 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 969.1 | 2,330 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 685.3 | 2,835.9 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 699.6 | 2,754.3 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 935.9 | 3,373.2 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 780.2 | 3,011.2 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 888.7 | 3,108.3 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 726.9 | 2,627.7 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 695.2 | 2,749.3 | reference |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | — | 860.1 | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | — | 866.3 | no pair |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | — | 19.5 | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | — | 20.4 | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | — | 20.3 | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | — | 19.3 | no pair |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | — | 81.1 | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | — | 82.6 | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | — | 81.4 | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | — | 82.5 | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | — | 30.4 | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | — | 31.2 | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | — | 31.9 | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | — | 31.4 | no pair |
| Blender Benchmark 2.81GPU, koro (OPTIX) | — | 56.1 | no pair |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | — | 55.4 | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | — | 53.5 | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | — | 53.1 | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | — | 99.5 | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | — | 101.3 | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | — | 101.6 | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | — | 99.5 | no pair |
| Blender Benchmark 2.81GPU, victor (OPTIX) | — | 131.2 | no pair |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | — | 132.5 | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | — | 129.3 | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | — | 128.9 | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 2,339.9 | 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 2080 Ti | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | GP102-350-K1-A1 | TU102-300A-K1-A1 | differs |
| Architecture | Pascal | Turing | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 3,584 (CUDA cores) | 4,352 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,481 MHz | 1,350 MHz | A: 131 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 | 1,545 MHz | A: 37 MHz more |
| Memory | |||
| Video memory | 11 GB | 11 GB | equal |
| Memory type | GDDR5X | GDDR6 | differs |
| Memory bus | 352 bit | 352 bit | equal |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 484.4 GB/s | 616 GB/s | B: 131.6 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. | 250 W (TDP) | 250 W (TDP) | equal |
| Interface | PCIe 3.0 x16 | no data | no data for B |
Chip
GPU chip
AGP102-350-K1-A1
BTU102-300A-K1-A1
differsArchitecture
APascal
BTuring
differsShader units
A3,584 (CUDA cores)
B4,352 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,481 MHz
B1,350 MHz
A: 131 MHz moreBoost clock
A1,582 MHz
B1,545 MHz
A: 37 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
B11 GB
equalMemory type
AGDDR5X
BGDDR6
differsMemory bus
A352 bit
B352 bit
equalMemory bandwidth
A484.4 GB/s
B616 GB/s
B: 131.6 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A250 W (TDP)
B250 W (TDP)
equalTGP (NVIDIA) and TBP (AMD/Intel) are calculated differently; higher is not better. For laptops, the chip maker sets the range and the laptop maker picks the value, so the same chip behaves differently in different laptops.
Interface
APCIe 3.0 x16
Bno data
no data for B
“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 2080 Ti have?
NVIDIA GeForce GTX 1080 Ti: 11 GB GDDR5X, 352-bit bus. NVIDIA GeForce RTX 2080 Ti: 11 GB GDDR6, 352-bit bus.
Which is faster: NVIDIA GeForce GTX 1080 Ti or NVIDIA GeForce RTX 2080 Ti?
NVIDIA GeForce RTX 2080 Ti 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 1080 Ti, specifications of NVIDIA GeForce RTX 2080 Ti, release date and launch pricechecked November 14, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81, benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 3.0.1, 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 3.4.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 4.0.0, 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.