GeForce RTX 2060 SUPER vs GeForce RTX 3060: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 3060 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 +49.1%NVIDIA GeForce RTX 3060 leads in this scenario (up to 49.1% 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 RTX 2060 SUPER is better1
Memory bus 64 bit more256 bit vs 192 bit
Where GeForce RTX 3060 is better9
Blender Benchmark 2.93.1 30.4% lower44 s vs 57 s
Blender Benchmark 2.93.1 30.8% lower24 s vs 32 s
Blender Benchmark 2.93.1 36.3% lower203 s vs 277 s
Blender Benchmark 2.93.1 22.6% lower89 s vs 110 s
Blender Benchmark 2.93.1 16.1% lower156 s vs 181 s
Blender Benchmark 2.93.1 49.1% lower264 s vs 394 s
Blender Benchmark 2.93.1 32% lower381 s vs 503 s
Video memory 4 GB more12 GB vs 8 GB
Launch price $70 lower$329 vs $399
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- B ahead by 30.4%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce RTX 2060 SUPER57 sGeForce RTX 306043.7 sPosition among tested models (31, CUDA)
B · 44A · 570100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 is ahead by 30.4% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 3060
43.7 s · community measurement, sample 137 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 137 submissions (21 outliers excluded), interquartile range 43.32–44.29; submissions 2021-07-09 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 30.8%
Blender Benchmark 2.93.1
GPU, bmw27 (OPTIX) · s, lower is better
GeForce RTX 2060 SUPER31.9 sGeForce RTX 306024.4 sPosition among tested models (20, OptiX)
B · 24A · 32050100150Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 is ahead by 30.8% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 3060
24.4 s · community measurement, sample 81 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 81 submissions (15 outliers excluded), interquartile range 24.19–24.61; submissions 2021-07-09 to 2022-03-01; 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 36.3%
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce RTX 2060 SUPER276.9 sGeForce RTX 3060203.2 sPosition among tested models (26, CUDA)
B · 203A · 2770200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 is ahead by 36.3% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 3060
203.2 s · community measurement, sample 122 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 122 submissions (30 outliers excluded), interquartile range 200.78–205.62; 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 22.6%
Blender Benchmark 2.93.1
GPU, fishy_cat (CUDA) · s, lower is better
GeForce RTX 2060 SUPER109.5 sGeForce RTX 306089.3 sPosition among tested models (21, CUDA)
B · 89A · 1100100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 is ahead by 22.6% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 3060
89.3 s · community measurement, sample 110 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 110 submissions (13 outliers excluded), interquartile range 88.27–90.16; 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 16.1%
Blender Benchmark 2.93.1
GPU, koro (CUDA) · s, lower is better
GeForce RTX 2060 SUPER180.7 sGeForce RTX 3060155.7 sPosition among tested models (20, CUDA)
B · 156A · 1810200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 is ahead by 16.1% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 3060
155.7 s · community measurement, sample 109 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 109 submissions (11 outliers excluded), interquartile range 153.77–157.51; 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 49.1%
Blender Benchmark 2.93.1
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce RTX 2060 SUPER394 sGeForce RTX 3060264.3 sPosition among tested models (21, CUDA)
B · 264A · 3940200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 is ahead by 49.1% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 3060
264.3 s · community measurement, sample 111 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 111 submissions (14 outliers excluded), interquartile range 259.95–267.94; 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%
Blender Benchmark 2.93.1
GPU, victor (CUDA) · s, lower is better
GeForce RTX 2060 SUPER503.2 sGeForce RTX 3060381.2 sPosition among tested models (19, CUDA)
B · 381A · 50302505007501,000Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 is ahead by 32% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 3060
381.2 s · community measurement, sample 110 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 110 submissions (11 outliers excluded), interquartile range 375.73–388.04; 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.
- 4.5% difference, within the threshold
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 2060 SUPER2,067.3 samples/minGeForce RTX 30602,159.8 samples/minPosition among tested models (67, OptiX)
A · 2,067B · 2,16005,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. The 4.5% difference is below the noticeable threshold (5%).
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 3060
2,159.8 samples/min · community measurement, sample 583 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 583 submissions (49 outliers excluded), interquartile range 2094.29–2210.76; submissions 2025-07-17 to 2026-11-03; 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 (13)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,099.4 | 2,155.1 | B +2.7% |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,993.1 | 1,997.7 | B +0.2% |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,928.2 | 1,992.7 | B +3.3% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,307.1 | 2,411.8 | B +4.5% |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,180.5 | 2,395.8 | B +9.9% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,288.4 | 2,445.1 | B +6.8% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,315.7 | 2,432.7 | B +5.1% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,378.7 | 2,523.8 | B +6.1% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,450.3 | 2,537.8 | B +3.6% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,138.1 | 2,241.3 | B +4.8% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,158.4 | 2,231.9 | B +3.4% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,049 | 2,148.8 | B +4.9% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,113.6 | 2,157.9 | B +2.1% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (123)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 1,076.9 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,070.2 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | 1,716.3 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | 1,792.2 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 63.1 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 61.9 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 63.6 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 65.7 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 66.3 | 52.5 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | 71.5 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 66 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 69.1 | 47.3 | reference |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | 26.5 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | 30.2 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | 30.6 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | 29.6 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 30.6 | — | no pair |
| Blender Benchmark 2.90.1GPU, bmw27 (OPTIX) | 31.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 30.7 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 31.4 | 23.2 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 298.5 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 299.4 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 292.8 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 299.2 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 300.7 | 150.9 | reference |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 350.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 305.3 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 320.8 | 141.3 | reference |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | 167.9 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | 161.7 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | 159.9 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | 158.6 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 161.8 | — | no pair |
| Blender Benchmark 2.90.1GPU, classroom (OPTIX) | 169.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 166.7 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 171.4 | 85.1 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 170.5 | 86.9 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 115.3 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 115.4 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 119.7 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 126 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 123.7 | 92.5 | reference |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | 143.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 113 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 120.2 | 86.7 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | 57.1 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | 56 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | 58.1 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | 56.5 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 55.7 | — | no pair |
| Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX) | 57.3 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 55.8 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 63.3 | 52.5 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 60.8 | 52.9 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 207.7 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 209.1 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 210.8 | — | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | 220.1 | — | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | 191.3 | 157.7 | reference |
| Blender Benchmark 2.90.1GPU, koro (CUDA) | 222.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 179.3 | — | no pair |
| Blender Benchmark 2.92GPU, koro (CUDA) | 188.6 | 155.3 | reference |
| Blender Benchmark 2.81GPU, koro (OPTIX) | 103.4 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | 110.8 | — | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | 106 | — | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | 101.9 | — | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 118 | — | no pair |
| Blender Benchmark 2.90.1GPU, koro (OPTIX) | 123.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 119.8 | — | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 206.2 | 111.7 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 124.3 | 110.4 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 439.5 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 446.9 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 450.2 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 449.2 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 461.2 | 280.4 | reference |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA) | 543.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 417 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 430.7 | 285.6 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | 192.4 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | 189.9 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | 190.3 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | 183.7 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 189.4 | — | no pair |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX) | 193.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 193.2 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 195.3 | 115.6 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 196.7 | 118.1 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 520.3 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 528.8 | — | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | 522.2 | — | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | 538.5 | — | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | 510.2 | 373.2 | reference |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | 604.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 481.9 | — | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | 566.8 | 414.8 | reference |
| Blender Benchmark 2.81GPU, victor (OPTIX) | 260.1 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | 260.2 | — | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | 250.5 | — | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | 245.2 | — | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 230.1 | — | no pair |
| Blender Benchmark 2.90.1GPU, victor (OPTIX) | 244 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 232.2 | — | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 276.1 | 169.9 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 264.5 | 169 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,408 | 1,318.1 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,445.8 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,328.5 | 1,350.8 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,442.8 | 1,408 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,380.9 | 1,370.7 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,487.8 | 2,515 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,259.4 | 2,386.5 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,879.9 | 1,956.8 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,883.9 | 2,064 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,343 | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,331.4 | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,512.8 | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,369.9 | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,353.2 | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,354.2 | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,205.1 | no pair |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,260.9 | no pair |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,152.8 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce RTX 2060 SUPER | B · GeForce RTX 3060 | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU106-410-A1 | no data | no data for B |
| Architecture | Turing | Ampere | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 2,176 (CUDA cores) | 3,584 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,470 MHz | 1,320 MHz | A: 150 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,650 MHz | 1,780 MHz | B: 130 MHz more |
| Memory | |||
| Video memory | 8 GB | 12 GB | B: 4 GB more |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 256 bit | 192 bit | A: 64 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 448 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. | 175 W (TDP) | 170 W (board power) | not directly comparable |
| Recommended PSU | no data | 550 W | no data for A |
| Interface | no data | PCIe 4.0 | no data for A |
Chip
GPU chip
ATU106-410-A1
Bno data
no data for BArchitecture
ATuring
BAmpere
differsShader units
A2,176 (CUDA cores)
B3,584 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,470 MHz
B1,320 MHz
A: 150 MHz moreBoost clock
A1,650 MHz
B1,780 MHz
B: 130 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
B12 GB
B: 4 GB moreMemory type
AGDDR6
BGDDR6
equalMemory bus
A256 bit
B192 bit
A: 64 bit moreMemory bandwidth
A448 GB/s
Bno data
no data for BExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A175 W (TDP)
B170 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
B550 W
no data for AInterface
Ano data
BPCIe 4.0
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 RTX 2060 SUPER and NVIDIA GeForce RTX 3060 have?
NVIDIA GeForce RTX 2060 SUPER: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 3060: 12 GB GDDR6, 192-bit bus.
Which is faster: NVIDIA GeForce RTX 2060 SUPER or NVIDIA GeForce RTX 3060?
NVIDIA GeForce RTX 3060 leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.
See also
- ModelNVIDIA GeForce RTX 2060 SUPER
- ModelNVIDIA GeForce RTX 3060
- ComparisonGeForce RTX 3060 vs GeForce RTX 5060
- ComparisonGeForce RTX 3060 vs GeForce RTX 4060
- ComparisonGeForce RTX 3060 vs GeForce RTX 3070
- ComparisonGeForce RTX 2060 vs GeForce RTX 3060
- ComparisonGeForce RTX 3050 vs GeForce RTX 3060
- ComparisonGeForce RTX 3060 vs GeForce RTX 5050
- ComparisonGeForce RTX 3060 vs Radeon RX 6600
Data sources (3)
- Wikipedia (English) — specifications of NVIDIA GeForce RTX 2060 SUPER, release date and launch pricechecked November 14, 2026
- NVIDIA — specifications of NVIDIA GeForce RTX 3060checked 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 2.90.1, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 5.3.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.