GeForce RTX 2060 SUPER vs GeForce RTX 3060 Laptop GPU: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 3060 Laptop GPU 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 +46%NVIDIA GeForce RTX 3060 Laptop GPU leads in this scenario (up to 46% 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 better2
Video memory 2 GB more8 GB vs 6 GB
Memory bus 64 bit more256 bit vs 192 bit
Where GeForce RTX 3060 Laptop GPU is better7
Blender Benchmark 2.93.1 39.9% lower41 s vs 57 s
Blender Benchmark 2.93.1 37.3% lower23 s vs 32 s
Blender Benchmark 2.93.1 32.9% lower208 s vs 277 s
Blender Benchmark 2.93.1 33.2% lower82 s vs 110 s
Blender Benchmark 2.93.1 19% lower152 s vs 181 s
Blender Benchmark 2.93.1 46% lower270 s vs 394 s
Blender Benchmark 2.93.1 32% lower381 s vs 503 s
Benchmarks
Results are compared within one benchmark, one version and the same conditions. Laptop chip results depend on the laptop model: its maker sets the power limit and cooling.
- B ahead by 39.9%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce RTX 2060 SUPER57 sGeForce RTX 3060 Laptop GPU40.8 sPosition among tested models (31, CUDA)
B · 41A · 570100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 39.9% 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 Laptop GPU
40.8 s · community measurement, sample 186 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 186 submissions (10 outliers excluded), interquartile range 38.78–44.93; submissions 2021-07-11 to 2022-03-01; 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.
- B ahead by 37.3%
Blender Benchmark 2.93.1
GPU, bmw27 (OPTIX) · s, lower is better
GeForce RTX 2060 SUPER31.9 sGeForce RTX 3060 Laptop GPU23.2 sPosition among tested models (20, OptiX)
B · 23A · 32050100150Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 37.3% 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 Laptop GPU
23.2 s · community measurement, sample 87 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 87 submissions (4 outliers excluded), interquartile range 22.67–25.18; submissions 2021-07-15 to 2022-02-27; 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 32.9%
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce RTX 2060 SUPER276.9 sGeForce RTX 3060 Laptop GPU208.3 sPosition among tested models (26, CUDA)
B · 208A · 2770200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 32.9% 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 Laptop GPU
208.3 s · community measurement, sample 151 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 151 submissions (4 outliers excluded), interquartile range 195.6–223.25; submissions 2021-07-11 to 2022-03-01; 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.
- B ahead by 33.2%
Blender Benchmark 2.93.1
GPU, fishy_cat (CUDA) · s, lower is better
GeForce RTX 2060 SUPER109.5 sGeForce RTX 3060 Laptop GPU82.2 sPosition among tested models (21, CUDA)
B · 82A · 1100100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 33.2% 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 Laptop GPU
82.2 s · community measurement, sample 113 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 113 submissions (3 outliers excluded), interquartile range 77.61–90.16; submissions 2021-07-11 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- B ahead by 19%
Blender Benchmark 2.93.1
GPU, koro (CUDA) · s, lower is better
GeForce RTX 2060 SUPER180.7 sGeForce RTX 3060 Laptop GPU152 sPosition among tested models (20, CUDA)
B · 152A · 1810200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 19% 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 Laptop GPU
152 s · community measurement, sample 111 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 111 submissions (2 outliers excluded), interquartile range 145.23–167.3; submissions 2021-07-11 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- B ahead by 46%
Blender Benchmark 2.93.1
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce RTX 2060 SUPER394 sGeForce RTX 3060 Laptop GPU269.9 sPosition among tested models (21, CUDA)
B · 270A · 3940200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 46% 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 Laptop GPU
269.9 s · community measurement, sample 110 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 110 submissions (4 outliers excluded), interquartile range 252.84–291.83; submissions 2021-07-11 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.
difference = |A − B| ÷ the smaller value × 100%. The 5% noticeable threshold is a UX heuristic, not statistical significance.
Render time of a single Cycles scene without synchronization. Median of submissions after filtering.
- B ahead by 32%
Blender Benchmark 2.93.1
GPU, victor (CUDA) · s, lower is better
GeForce RTX 2060 SUPER503.2 sGeForce RTX 3060 Laptop GPU381.3 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 Laptop GPU 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 Laptop GPU
381.3 s · community measurement, sample 105 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 105 submissions (7 outliers excluded), interquartile range 360.69–416.17; submissions 2021-07-11 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.
- 4.8% 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 3060 Laptop GPU2,166.2 samples/minPosition among tested models (67, OptiX)
A · 2,067B · 2,16605,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. The 4.8% 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 Laptop GPU
2,166.2 samples/min · community measurement, sample 161 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 161 submissions (14 outliers excluded), interquartile range 1984.24–2305.62; submissions 2025-07-17 to 2026-08-27; 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 | 2,182.2 | B +3.9% |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,993.1 | 2,127.4 | B +6.7% |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,928.2 | 1,971.6 | B +2.3% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,307.1 | 2,437.4 | B +5.6% |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,180.5 | 2,444.1 | B +12.1% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,288.4 | 2,481.2 | B +8.4% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,315.7 | 2,527 | B +9.1% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,378.7 | 2,687.5 | B +13% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,450.3 | 2,665.6 | B +8.8% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,138.1 | 2,302.6 | B +7.7% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,158.4 | 2,303.4 | B +6.7% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,049 | 2,264.1 | B +10.5% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,113.6 | 2,197.2 | B +4% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (124)
| 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 | 76 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | 71.5 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 66 | 48.9 | reference |
| 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 | 22.5 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (OPTIX) | 31.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 30.7 | 25.4 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 31.4 | 23.4 | 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 | 255.8 | reference |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 350.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 305.3 | 165.5 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 320.8 | 150.1 | 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 | 100.6 | reference |
| Blender Benchmark 2.90.1GPU, classroom (OPTIX) | 169.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 166.7 | 97 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 171.4 | 92.7 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 170.5 | 87.8 | 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 | 131.7 | reference |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | 143.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 113 | 86.5 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 120.2 | 86 | 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 | 49.6 | reference |
| Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX) | 57.3 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 55.8 | 50.5 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 63.3 | 54.1 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 60.8 | 50.2 | 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 | 144.4 | reference |
| Blender Benchmark 2.90.1GPU, koro (CUDA) | 222.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 179.3 | 166.2 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 188.6 | 163.1 | 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 | 107.8 | reference |
| Blender Benchmark 2.90.1GPU, koro (OPTIX) | 123.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 119.8 | 108.9 | reference |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 206.2 | 169.7 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 124.3 | 106.3 | 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 | 254.5 | reference |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA) | 543.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 417 | 313.7 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 430.7 | 309.8 | 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 | 128.2 | reference |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX) | 193.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 193.2 | 128.9 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 195.3 | 118.9 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 196.7 | 115.6 | 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 | 330.6 | reference |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | 604.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 481.9 | 363.3 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 566.8 | 450 | 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 | 151 | reference |
| Blender Benchmark 2.90.1GPU, victor (OPTIX) | 244 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 232.2 | 154.3 | reference |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 276.1 | 179.4 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 264.5 | 165.1 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,408 | 1,295.7 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,445.8 | 1,311.2 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,328.5 | 1,399.7 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,442.8 | 1,473.2 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,380.9 | 1,432.6 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,487.8 | 2,458.8 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,259.4 | 2,473 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,879.9 | 2,051.4 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,883.9 | 2,047.5 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,425.4 | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,216.5 | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 880.2 | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,514.9 | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,291.2 | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,340.9 | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,507.4 | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,101.6 | no pair |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,238.7 | no pair |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,339.6 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
Chip maker values. The laptop maker sets the power limit and clocks in each laptop.
| Specification | A · GeForce RTX 2060 SUPER | B · GeForce RTX 3060 Laptop GPU | 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) | 3,840 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,470 MHz | no data | no data for B |
| 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 | 1,283–1,703 MHz | not directly comparable |
| Memory | |||
| Video memory | 8 GB | 6 GB | A: 2 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) | no data | no data for B |
Chip
GPU chip
ATU106-410-A1
Bno data
no data for BArchitecture
ATuring
BAmpere
differsShader units
A2,176 (CUDA cores)
B3,840 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,470 MHz
Bno data
no data for BBoost clock
A1,650 MHz
B1,283–1,703 MHz
not directly comparableClocks 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
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)
Bno data
no data for BTGP (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.
“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 Laptop GPU have?
NVIDIA GeForce RTX 2060 SUPER: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 3060 Laptop GPU: 6 GB GDDR6, 192-bit bus.
Which is faster: NVIDIA GeForce RTX 2060 SUPER or NVIDIA GeForce RTX 3060 Laptop GPU?
NVIDIA GeForce RTX 3060 Laptop GPU leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.
See also
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 3060 Laptop GPUchecked 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 3.0.1, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, 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.