GeForce GTX 1070 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 1070 Ti is better3
Blender Benchmark 2.90 5.8% lower294 s vs 310 s
Video memory 2 GB more8 GB vs 6 GB
Memory bus 64 bit more256 bit vs 192 bit
Where GeForce RTX 2060 is better5
Blender Benchmark 2.93.1 10.9% lower70 s vs 78 s
Blender Benchmark 2.90 34.6% lower139 s vs 188 s
Blender Benchmark 2.90 17.3% lower252 s vs 296 s
Blender Benchmark 2.90 17.8% lower588 s vs 693 s
Blender Benchmark 4.5.0 166% faster1,574 samples/min vs 592 samples/min
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- B ahead by 10.9%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1070 Ti77.7 sGeForce RTX 206070 sPosition among tested models (31, CUDA)
B · 70A · 780100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 is ahead by 10.9% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1070 Ti
77.7 s · community measurement, sample 20 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 20 submissions (2 outliers excluded), interquartile range 76.96–78.05; submissions 2021-07-12 to 2022-02-25; 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.
- A ahead by 5.8%
Blender Benchmark 2.90
GPU, classroom (CUDA) · s, lower is better
GeForce GTX 1070 Ti293.5 sGeForce RTX 2060310.5 sPosition among tested models (25, CUDA)
A · 294B · 3100200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1070 Ti is ahead by 5.8% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1070 Ti
293.5 s · community measurement, sample 75 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 75 submissions (3 outliers excluded), interquartile range 280.96–296.59; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
310.5 s · community measurement, sample 279 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 279 submissions (4 outliers excluded), interquartile range 229.63–337.38; submissions 2020-09-02 to 2021-02-19; 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 34.6%
Blender Benchmark 2.90
GPU, fishy_cat (CUDA) · s, lower is better
GeForce GTX 1070 Ti187.6 sGeForce RTX 2060139.4 sPosition among tested models (22, CUDA)
B · 139A · 1880200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 is ahead by 34.6% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1070 Ti
187.6 s · community measurement, sample 56 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 56 submissions (3 outliers excluded), interquartile range 179.05–190.86; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
139.4 s · community measurement, sample 228 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 228 submissions (4 outliers excluded), interquartile range 131.44–151.24; submissions 2020-09-02 to 2021-02-01; 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 17.3%
Blender Benchmark 2.90
GPU, koro (CUDA) · s, lower is better
GeForce GTX 1070 Ti296 sGeForce RTX 2060252.5 sPosition among tested models (22, CUDA)
B · 252A · 2960200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 is ahead by 17.3% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1070 Ti
296 s · community measurement, sample 52 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 52 submissions (3 outliers excluded), interquartile range 283.33–300.59; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
252.5 s · community measurement, sample 219 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 219 submissions (7 outliers excluded), interquartile range 242.91–271.44; submissions 2020-09-02 to 2021-03-01; 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.
- 1.8% difference, within the threshold
Blender Benchmark 2.90
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce GTX 1070 Ti502.9 sGeForce RTX 2060494.2 sPosition among tested models (23, CUDA)
B · 494A · 50305001,0001,500Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 1.8% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce GTX 1070 Ti
502.9 s · community measurement, sample 52 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 52 submissions (3 outliers excluded), interquartile range 479.86–509.1; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
494.2 s · community measurement, sample 215 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 215 submissions (8 outliers excluded), interquartile range 426.04–538.06; submissions 2020-09-02 to 2021-02-01; 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 17.8%
Blender Benchmark 2.90
GPU, victor (CUDA) · s, lower is better
GeForce GTX 1070 Ti692.6 sGeForce RTX 2060587.9 sPosition among tested models (20, CUDA)
B · 588A · 69305001,0001,500Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 is ahead by 17.8% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1070 Ti
692.6 s · community measurement, sample 46 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 46 submissions (8 outliers excluded), interquartile range 663.89–711.48; submissions 2020-09-02 to 2021-01-31; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060
587.9 s · community measurement, sample 206 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 206 submissions (11 outliers excluded), interquartile range 527.27–641.21; submissions 2020-09-02 to 2021-02-01; 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 166%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GTX 1070 Ti591.6 samples/minGeForce RTX 20601,573.6 samples/minPosition among tested models (67, OptiX)
A · 592B · 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 166% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1070 Ti
591.6 samples/min · community measurement, sample 24 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 24 submissions (1 outliers excluded), interquartile range 582.59–600.66; submissions 2025-07-19 to 2026-04-11; 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 (20)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 88.4 | 75.1 | B +17.7% |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 86.8 | 74.2 | B +16.9% |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 88 | 74.3 | B +18.5% |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 89.3 | 74.6 | B +19.8% |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 96.2 | 79.9 | B +20.4% |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 286.5 | 310.6 | A +8.4% |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 285.5 | 295.4 | A +3.5% |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 286.1 | 297.5 | A +4% |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 182.2 | 130.9 | B +39.1% |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 180.9 | 133.2 | B +35.8% |
| Blender Benchmark 2.82GPU, koro (CUDA) | 338 | 249.4 | B +35.5% |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 474.3 | 478 | A +0.8% |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 485.9 | 473.2 | B +2.7% |
| Blender Benchmark 2.82GPU, victor (CUDA) | 714.3 | 588.8 | B +21.3% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 633.8 | 1,712.1 | B +170.2% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 635.3 | 1,759.7 | B +177% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 639.7 | 1,713.7 | B +167.9% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 662.4 | 1,830.5 | B +176.3% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 635.4 | 1,856.7 | B +192.2% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 596.6 | 1,613.2 | B +170.4% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (113)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 802.3 | 1,092.5 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 802.9 | 1,058.5 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 89.7 | 80.7 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 89.9 | 78.6 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 90 | 35.4 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 88.9 | 36.9 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 89.5 | 37.1 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 91.7 | 42.2 | reference |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 284.4 | 322.2 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 274.6 | 332.4 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 280 | 327.1 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 253.8 | 297.5 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 325.3 | 160.3 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 338.1 | 179.7 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 328.2 | 176.5 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 176.7 | 127.5 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 178.2 | 127.4 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 176.6 | 133.8 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 178.1 | 136.9 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 181.7 | 132.7 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 168.7 | 63.7 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 175 | 74.7 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 178.8 | 74.6 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 340.9 | 258.2 | reference |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 341.7 | 252.8 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 327.8 | 258.3 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 291.9 | 247.1 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 295.3 | 259.9 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 300.5 | 238.7 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 195.9 | 137.4 | reference |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 281.2 | 239 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 206.8 | 150.8 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 480.4 | 488 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 472.5 | 490.1 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 471.7 | 468.9 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 483.3 | 481.8 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 447.2 | 437.6 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 475.9 | 180.9 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 491.7 | 211.5 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 501.4 | 209.8 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 773 | 597.7 | reference |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 750.1 | 603.5 | reference |
| Blender Benchmark 2.83GPU, victor (CUDA) | 690.6 | 603.8 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 668.2 | 595.1 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 745.5 | 644.8 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 734.5 | 622.7 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 650.3 | 234.2 | reference |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 751.1 | 299.6 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 701.6 | 288.8 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 687.1 | 1,079.4 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 674.9 | 946.5 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 652.1 | 983.7 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 667.3 | 1,011.9 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 663.7 | 1,194.1 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 684 | 1,223 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 592.8 | 1,524.6 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 495 | 1,522.3 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 513.6 | 1,426.3 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 658.3 | 1,886.9 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 662.6 | 1,762.8 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 614.7 | 1,743.7 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 599.7 | 1,627.8 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 590.9 | 1,529 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 587.9 | 1,522.9 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 506.8 | 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 2.91.2GPU, classroom (OPTIX) | — | 175.6 | 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 2.91.2GPU, fishy_cat (OPTIX) | — | 66.5 | 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 2.91.2GPU, koro (OPTIX) | — | 139.8 | 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 2.91.2GPU, pavillon_barcelona (OPTIX) | — | 215.6 | 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 2.91.2GPU, victor (OPTIX) | — | 263.6 | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 548 | no pair |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 315.1 | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 991.6 | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,115.4 | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,087.6 | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,136.9 | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 874.8 | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 977.2 | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,032.5 | no pair |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 905 | no pair |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,447.5 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GTX 1070 Ti | B · GeForce RTX 2060 | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | GP104-300-A1 | no data | no data for B |
| Architecture | Pascal | Turing | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 2,432 (CUDA cores) | 1,920 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,607 MHz | 1,370 MHz | A: 237 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,683 MHz | 1,680 MHz | A: 3 MHz more |
| Memory | |||
| Video memory | 8 GB | 6 GB | A: 2 GB more |
| Memory type | GDDR5 | GDDR6 | differs |
| Memory bus | 256 bit | 192 bit | A: 64 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 256.3 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. | 180 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
AGP104-300-A1
Bno data
no data for BArchitecture
APascal
BTuring
differsShader units
A2,432 (CUDA cores)
B1,920 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,607 MHz
B1,370 MHz
A: 237 MHz moreBoost clock
A1,683 MHz
B1,680 MHz
A: 3 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
A8 GB
B6 GB
A: 2 GB moreMemory type
AGDDR5
BGDDR6
differsMemory bus
A256 bit
B192 bit
A: 64 bit moreMemory bandwidth
A256.3 GB/s
Bno data
no data for BExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A180 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 1070 Ti and NVIDIA GeForce RTX 2060 have?
NVIDIA GeForce GTX 1070 Ti: 8 GB GDDR5, 256-bit bus. NVIDIA GeForce RTX 2060: 6 GB GDDR6, 192-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce GTX 1070 Ti: PCIe 3.0 x16. NVIDIA GeForce RTX 2060: PCIe 3.0.
Which is faster: NVIDIA GeForce GTX 1070 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 1070 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 3.1.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 4.0.0, 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 5.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.