GeForce RTX 2060 vs GeForce RTX 2060 SUPER: 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 RTX 2060 is better0
No advantages found in our data.
Where GeForce RTX 2060 SUPER is better13
Blender Benchmark 2.93.1 22.8% lower57 s vs 70 s
Blender Benchmark 2.93.1 32.3% lower32 s vs 42 s
Blender Benchmark 2.93.1 7.4% lower277 s vs 297 s
Blender Benchmark 2.93.1 21.2% lower110 s vs 133 s
Blender Benchmark 2.90 14.2% lower56 s vs 64 s
Blender Benchmark 2.93.1 32.1% lower181 s vs 239 s
Blender Benchmark 2.90 16.4% lower118 s vs 137 s
Blender Benchmark 2.93.1 11.1% lower394 s vs 438 s
Blender Benchmark 2.93.1 23.8% lower503 s vs 623 s
Blender Benchmark 4.5.0 31.4% faster2,067 samples/min vs 1,574 samples/min
Shader units 256 more2,176 (CUDA cores) vs 1,920 (CUDA cores)
Video memory 2 GB more8 GB vs 6 GB
Memory bus 64 bit more256 bit vs 192 bit
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- B ahead by 22.8%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce RTX 206070 sGeForce RTX 2060 SUPER57 sPosition among tested models (31, CUDA)
B · 57A · 700100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 22.8% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 2060 SUPER
57 s · community measurement, sample 32 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 32 submissions (4 outliers excluded), interquartile range 56.4–57.77; submissions 2021-07-10 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- B ahead by 32.3%
Blender Benchmark 2.93.1
GPU, bmw27 (OPTIX) · s, lower is better
GeForce RTX 206042.2 sGeForce RTX 2060 SUPER31.9 sPosition among tested models (20, OptiX)
B · 32A · 42050100150Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 32.3% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 2060 SUPER
31.9 s · community measurement, sample 21 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 21 submissions (0 outliers excluded), interquartile range 31.4–33.3; submissions 2021-07-27 to 2022-02-23; OPTIX backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- B ahead by 7.4%
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce RTX 2060297.5 sGeForce RTX 2060 SUPER276.9 sPosition among tested models (26, CUDA)
B · 277A · 2970200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 7.4% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 2060 SUPER
276.9 s · community measurement, sample 31 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 31 submissions (4 outliers excluded), interquartile range 272.42–281.42; submissions 2021-07-10 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- 0.9% difference, within the threshold
Blender Benchmark 2.90
GPU, classroom (OPTIX) · s, lower is better
GeForce RTX 2060160.3 sGeForce RTX 2060 SUPER161.8 sPosition among tested models (15, OptiX)
A · 160B · 1620100200300400Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 0.9% difference is below the noticeable threshold (5%).
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 2060 SUPER
161.8 s · community measurement, sample 37 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 37 submissions (9 outliers excluded), interquartile range 160.24–163.89; submissions 2020-09-02 to 2021-01-25; 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 21.2%
Blender Benchmark 2.93.1
GPU, fishy_cat (CUDA) · s, lower is better
GeForce RTX 2060132.7 sGeForce RTX 2060 SUPER109.5 sPosition among tested models (21, CUDA)
B · 110A · 1330100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 21.2% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 2060 SUPER
109.5 s · community measurement, sample 26 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 26 submissions (4 outliers excluded), interquartile range 107.85–111.2; submissions 2021-07-10 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- B ahead by 14.2%
Blender Benchmark 2.90
GPU, fishy_cat (OPTIX) · s, lower is better
GeForce RTX 206063.7 sGeForce RTX 2060 SUPER55.7 sPosition among tested models (13, OptiX)
B · 56A · 640100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 14.2% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2060
63.7 s · community measurement, sample 99 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 99 submissions (1 outliers excluded), interquartile range 61.59–70.18; submissions 2020-09-02 to 2022-01-01; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060 SUPER
55.7 s · community measurement, sample 30 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 30 submissions (6 outliers excluded), interquartile range 55.02–56.53; submissions 2020-09-02 to 2021-01-12; 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 32.1%
Blender Benchmark 2.93.1
GPU, koro (CUDA) · s, lower is better
GeForce RTX 2060238.7 sGeForce RTX 2060 SUPER180.7 sPosition among tested models (20, CUDA)
B · 181A · 2390200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 32.1% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 2060 SUPER
180.7 s · community measurement, sample 27 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 27 submissions (2 outliers excluded), interquartile range 178.65–186.28; submissions 2021-07-10 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- B ahead by 16.4%
Blender Benchmark 2.90
GPU, koro (OPTIX) · s, lower is better
GeForce RTX 2060137.4 sGeForce RTX 2060 SUPER118 sPosition among tested models (13, OptiX)
B · 118A · 1370100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 16.4% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2060
137.4 s · community measurement, sample 92 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 92 submissions (5 outliers excluded), interquartile range 132.62–145.74; submissions 2020-09-02 to 2022-01-01; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060 SUPER
118 s · community measurement, sample 30 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 30 submissions (6 outliers excluded), interquartile range 116.65–119.66; submissions 2020-09-02 to 2021-01-12; 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 11.1%
Blender Benchmark 2.93.1
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce RTX 2060437.6 sGeForce RTX 2060 SUPER394 sPosition among tested models (21, CUDA)
B · 394A · 4380200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 11.1% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 2060 SUPER
394 s · community measurement, sample 24 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 24 submissions (4 outliers excluded), interquartile range 388.05–403.3; submissions 2021-07-10 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- 4.7% difference, within the threshold
Blender Benchmark 2.90
GPU, pavillon_barcelona (OPTIX) · s, lower is better
GeForce RTX 2060180.9 sGeForce RTX 2060 SUPER189.4 sPosition among tested models (13, OptiX)
A · 181B · 1890200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 4.7% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 2060
180.9 s · community measurement, sample 95 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 95 submissions (0 outliers excluded), interquartile range 171.58–212.29; submissions 2020-09-02 to 2022-01-01; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060 SUPER
189.4 s · community measurement, sample 34 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 34 submissions (5 outliers excluded), interquartile range 186.85–192.12; submissions 2020-09-02 to 2021-01-25; 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 23.8%
Blender Benchmark 2.93.1
GPU, victor (CUDA) · s, lower is better
GeForce RTX 2060622.7 sGeForce RTX 2060 SUPER503.2 sPosition among tested models (19, CUDA)
B · 503A · 62302505007501,000Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 23.8% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 2060 SUPER
503.2 s · community measurement, sample 25 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 25 submissions (2 outliers excluded), interquartile range 497.18–522.26; submissions 2021-07-10 to 2022-02-26; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- 1.8% difference, within the threshold
Blender Benchmark 2.90
GPU, victor (OPTIX) · s, lower is better
GeForce RTX 2060234.2 sGeForce RTX 2060 SUPER230.1 sPosition among tested models (13, OptiX)
B · 230A · 2340200400600800Each 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 RTX 2060
234.2 s · community measurement, sample 84 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 84 submissions (0 outliers excluded), interquartile range 204.7–259.93; submissions 2020-09-02 to 2022-01-01; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2060 SUPER
230.1 s · community measurement, sample 26 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 26 submissions (8 outliers excluded), interquartile range 228.62–231.78; submissions 2020-09-02 to 2021-01-12; 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 31.4%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 20601,573.6 samples/minGeForce RTX 2060 SUPER2,067.3 samples/minPosition among tested models (67, OptiX)
A · 1,574B · 2,06705,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 2060 SUPER is ahead by 31.4% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 2060 SUPER
2,067.3 samples/min · community measurement, sample 102 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 102 submissions (7 outliers excluded), interquartile range 2005.87–2124.27; submissions 2025-07-17 to 2026-03-07; 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 (44)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 74.3 | 63.6 | B +16.8% |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 74.6 | 65.7 | B +13.5% |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 79.9 | 66.3 | B +20.6% |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | 37.2 | 30.6 | B +21.6% |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | 35.5 | 29.6 | B +19.7% |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 35.4 | 30.6 | B +15.5% |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 295.4 | 292.8 | B +0.9% |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 297.5 | 299.2 | A +0.6% |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 310.5 | 300.7 | B +3.2% |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | 159.5 | 159.9 | A +0.3% |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | 142.7 | 158.6 | A +11.1% |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 130.9 | 119.7 | B +9.4% |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 133.2 | 126 | B +5.8% |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 139.4 | 123.7 | B +12.7% |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | 63.4 | 58.1 | B +9.1% |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | 63 | 56.5 | B +11.5% |
| Blender Benchmark 2.82GPU, koro (CUDA) | 249.4 | 210.8 | B +18.3% |
| Blender Benchmark 2.83GPU, koro (CUDA) | 258.3 | 220.1 | B +17.4% |
| Blender Benchmark 2.90GPU, koro (CUDA) | 252.5 | 191.3 | B +32% |
| Blender Benchmark 2.82GPU, koro (OPTIX) | 112.9 | 106 | B +6.5% |
| Blender Benchmark 2.83GPU, koro (OPTIX) | 111 | 101.9 | B +8.9% |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 478 | 450.2 | B +6.2% |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 473.2 | 449.2 | B +5.3% |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 494.2 | 461.2 | B +7.2% |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | 194.8 | 190.3 | B +2.4% |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | 183.2 | 183.7 | A +0.3% |
| Blender Benchmark 2.82GPU, victor (CUDA) | 588.8 | 522.2 | B +12.8% |
| Blender Benchmark 2.83GPU, victor (CUDA) | 603.8 | 538.5 | B +12.1% |
| Blender Benchmark 2.90GPU, victor (CUDA) | 587.9 | 510.2 | B +15.2% |
| Blender Benchmark 2.82GPU, victor (OPTIX) | 265.1 | 250.5 | B +5.8% |
| Blender Benchmark 2.83GPU, victor (OPTIX) | 255.7 | 245.2 | B +4.3% |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,524.6 | 2,099.4 | B +37.7% |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,522.3 | 1,993.1 | B +30.9% |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,426.3 | 1,928.2 | B +35.2% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,712.1 | 2,307.1 | B +34.8% |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,743.7 | 2,180.5 | B +25.1% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,759.7 | 2,288.4 | B +30% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,713.7 | 2,315.7 | B +35.1% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,830.5 | 2,378.7 | B +29.9% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,856.7 | 2,450.3 | B +32% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,613.2 | 2,138.1 | B +32.5% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,627.8 | 2,158.4 | B +32.6% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,529 | 2,049 | B +34% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,522.9 | 2,113.6 | B +38.8% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (89)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 1,092.5 | 1,076.9 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,058.5 | 1,070.2 | reference |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | 1,892.7 | 1,716.3 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | 1,781.1 | 1,792.2 | reference |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 75.1 | 63.1 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 74.2 | 61.9 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | 93.5 | 71.5 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 80.7 | 66 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 78.6 | 69.1 | reference |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | 38.8 | 26.5 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | 37.3 | 30.2 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (OPTIX) | 40.9 | 31.6 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 36.9 | 30.7 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 37.1 | 31.4 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 310.6 | 298.5 | reference |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 322.2 | 299.4 | reference |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 351 | 350.2 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 332.4 | 305.3 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 327.1 | 320.8 | reference |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | 188.9 | 167.9 | reference |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | 163.1 | 161.7 | reference |
| Blender Benchmark 2.90.1GPU, classroom (OPTIX) | 180.1 | 169.6 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 175.6 | 166.7 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 179.7 | 171.4 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 176.5 | 170.5 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 127.5 | 115.3 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 127.4 | 115.4 | reference |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | 161.9 | 143.6 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 133.8 | 113 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 136.9 | 120.2 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | 70.5 | 57.1 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | 63.6 | 56 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 66.5 | 55.8 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 74.7 | 63.3 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 74.6 | 60.8 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 258.2 | 207.7 | reference |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 252.8 | 209.1 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 247.1 | 179.3 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 259.9 | 188.6 | reference |
| Blender Benchmark 2.81GPU, koro (OPTIX) | 135.3 | 103.4 | reference |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | 117.6 | 110.8 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 139.8 | 119.8 | reference |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 239 | 206.2 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 150.8 | 124.3 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 488 | 439.5 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 490.1 | 446.9 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 468.9 | 417 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 481.8 | 430.7 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | 226.7 | 192.4 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | 203.4 | 189.9 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 215.6 | 193.2 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 211.5 | 195.3 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 209.8 | 196.7 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 597.7 | 520.3 | reference |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 603.5 | 528.8 | reference |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | 646.8 | 604.2 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 595.1 | 481.9 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 644.8 | 566.8 | reference |
| Blender Benchmark 2.81GPU, victor (OPTIX) | 364.1 | 260.1 | reference |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | 382.8 | 260.2 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 263.6 | 232.2 | reference |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 299.6 | 276.1 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 288.8 | 264.5 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 548 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,079.4 | 1,408 | reference |
| 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 | 1,445.8 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 946.5 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 983.7 | 1,328.5 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,011.9 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,194.1 | 1,442.8 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,223 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,115.4 | 1,380.9 | reference |
| 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 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,886.9 | 2,487.8 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 905 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,762.8 | 2,259.4 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,447.5 | 1,879.9 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,487.3 | 1,883.9 | reference |
| Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX) | — | 57.3 | no pair |
| Blender Benchmark 2.90.1GPU, koro (CUDA) | — | 222.1 | no pair |
| Blender Benchmark 2.90.1GPU, koro (OPTIX) | — | 123.1 | no pair |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA) | — | 543.8 | no pair |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX) | — | 193.6 | no pair |
| Blender Benchmark 2.90.1GPU, victor (OPTIX) | — | 244 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce RTX 2060 | B · GeForce RTX 2060 SUPER | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | no data | TU106-410-A1 | no data for A |
| Architecture | Turing | Turing | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,920 (CUDA cores) | 2,176 (CUDA cores) | B: 256 more |
| Clocks | |||
| Base clock | 1,370 MHz | 1,470 MHz | B: 100 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,680 MHz | 1,650 MHz | A: 30 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. | no data | 448 GB/s | no data for A |
| 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. | 160 W (board power) | 175 W (TDP) | not directly comparable |
| Recommended PSU | 500 W | no data | no data for B |
| Interface | PCIe 3.0 | no data | no data for B |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | 229 mm | no data | no data for B |
| Thickness (slots) | 2 | no data | no data for B |
| Power connectors (reference) | 1x 8-pin | no data | no data for B |
Chip
GPU chip
Ano data
BTU106-410-A1
no data for AArchitecture
ATuring
BTuring
equalShader units
A1,920 (CUDA cores)
B2,176 (CUDA cores)
B: 256 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,370 MHz
B1,470 MHz
B: 100 MHz moreBoost clock
A1,680 MHz
B1,650 MHz
A: 30 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
Ano data
B448 GB/s
no data for AExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A160 W (board power)
B175 W (TDP)
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
A500 W
Bno data
no data for BInterface
APCIe 3.0
Bno data
no data for BLength (reference / Founders Edition)
A229 mm
Bno data
no data for BPartner cards have different dimensions; check the specific SKU.
Thickness (slots)
A2
Bno data
no data for BPower connectors (reference)
A1x 8-pin
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 RTX 2060 and NVIDIA GeForce RTX 2060 SUPER have?
NVIDIA GeForce RTX 2060: 6 GB GDDR6, 192-bit bus. NVIDIA GeForce RTX 2060 SUPER: 8 GB GDDR6, 256-bit bus.
Which is faster: NVIDIA GeForce RTX 2060 or NVIDIA GeForce RTX 2060 SUPER?
It depends on the task: rendering and compute: results disagree.
See also
Data sources (3)
- NVIDIA — specifications of NVIDIA GeForce RTX 2060checked November 7, 2026
- Wikipedia (English) — specifications of NVIDIA GeForce RTX 2060 SUPER, release date and launch pricechecked November 14, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81, benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.90.1, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.1.2, 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 3.5.0, 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 4.4.0, 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 5.0.0, benchmark Blender Benchmark 5.1.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.