GeForce GTX 1080 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 +330.1%NVIDIA GeForce RTX 3060 Laptop GPU leads in this scenario (up to 330.1% 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 GTX 1080 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 97.5% lower41 s vs 81 s
Blender Benchmark 2.93.1 21.7% lower208 s vs 253 s
Blender Benchmark 2.93.1 127.2% lower82 s vs 187 s
Blender Benchmark 2.93.1 108.4% lower152 s vs 317 s
Blender Benchmark 2.93.1 70.8% lower270 s vs 461 s
Blender Benchmark 2.93.1 109.2% lower381 s vs 798 s
Blender Benchmark 4.5.0 270.4% faster2,166 samples/min vs 585 samples/min
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 97.5%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 108080.5 sGeForce RTX 3060 Laptop GPU40.8 sPosition among tested models (31, CUDA)
B · 41A · 810100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 97.5% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080
80.5 s · community measurement, sample 62 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 62 submissions (13 outliers excluded), interquartile range 79.51–81.58; submissions 2021-07-15 to 2022-02-24; 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 21.7%
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce GTX 1080253.5 sGeForce RTX 3060 Laptop GPU208.3 sPosition among tested models (26, CUDA)
B · 208A · 2530200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 21.7% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080
253.5 s · community measurement, sample 46 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 46 submissions (2 outliers excluded), interquartile range 247.41–262.04; submissions 2021-07-15 to 2022-02-24; 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 127.2%
Blender Benchmark 2.93.1
GPU, fishy_cat (CUDA) · s, lower is better
GeForce GTX 1080186.8 sGeForce RTX 3060 Laptop GPU82.2 sPosition among tested models (21, CUDA)
B · 82A · 1870100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 127.2% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080
186.8 s · community measurement, sample 39 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 39 submissions (1 outliers excluded), interquartile range 181.33–191.2; submissions 2021-07-15 to 2022-02-24; 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 108.4%
Blender Benchmark 2.93.1
GPU, koro (CUDA) · s, lower is better
GeForce GTX 1080316.7 sGeForce RTX 3060 Laptop GPU152 sPosition among tested models (20, CUDA)
B · 152A · 3170200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 108.4% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080
316.7 s · community measurement, sample 34 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 34 submissions (3 outliers excluded), interquartile range 310.65–323.27; submissions 2021-07-15 to 2022-02-24; 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 70.8%
Blender Benchmark 2.93.1
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce GTX 1080460.9 sGeForce RTX 3060 Laptop GPU269.9 sPosition among tested models (21, CUDA)
B · 270A · 4610200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 70.8% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080
460.9 s · community measurement, sample 39 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 39 submissions (1 outliers excluded), interquartile range 450.31–469.8; submissions 2021-07-15 to 2022-02-24; 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 109.2%
Blender Benchmark 2.93.1
GPU, victor (CUDA) · s, lower is better
GeForce GTX 1080797.7 sGeForce RTX 3060 Laptop GPU381.3 sPosition among tested models (19, CUDA)
B · 381A · 79802505007501,000Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 109.2% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080
797.7 s · community measurement, sample 28 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 28 submissions (7 outliers excluded), interquartile range 789.1–813.67; submissions 2021-07-20 to 2022-02-24; 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.
- B ahead by 270.4%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GTX 1080584.9 samples/minGeForce RTX 3060 Laptop GPU2,166.2 samples/minPosition among tested models (67, OptiX)
A · 585B · 2,16605,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 3060 Laptop GPU is ahead by 270.4% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1080
584.9 samples/min · community measurement, sample 81 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 81 submissions (0 outliers excluded), interquartile range 570.45–627.62; submissions 2025-07-29 to 2026-08-29; 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 2.92GPU, bmw27 (CUDA) | 90.9 | 47.3 | B +92.1% |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 272.3 | 150.1 | B +81.4% |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 577.6 | 2,182.2 | B +277.8% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 614.9 | 2,437.4 | B +296.4% |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 609.8 | 2,444.1 | B +300.8% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 613.3 | 2,481.2 | B +304.6% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 619.2 | 2,527 | B +308.1% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 624.9 | 2,687.5 | B +330.1% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 621.3 | 2,665.6 | B +329% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 577.8 | 2,302.6 | B +298.5% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 581.4 | 2,303.4 | B +296.2% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 567.9 | 2,264.1 | B +298.7% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 574.2 | 2,197.2 | B +282.7% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (90)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 784.6 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 787.8 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 88.5 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 89.4 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 88.5 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 90.7 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 99 | 76 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 92.5 | 48.9 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 87.3 | 22.5 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 87.3 | 25.4 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 86 | 23.4 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 88.3 | 23.2 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 279.9 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 282.8 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 280.3 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 285.9 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 290.2 | 255.8 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 280.1 | 165.5 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 304.2 | 100.6 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 324.8 | 97 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 310.9 | 92.7 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 322.8 | 87.8 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 176.2 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 178 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 182.1 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 183.7 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 189 | 131.7 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 179.7 | 86.5 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 177.2 | 86 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 164.7 | 49.6 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 161.2 | 50.5 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 169.1 | 54.1 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 171.2 | 50.2 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 343.4 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 343.8 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 341.2 | — | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | 328.4 | — | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | 308.6 | 144.4 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 302.5 | 166.2 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 301.8 | 163.1 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 189.6 | 107.8 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 188.1 | 108.9 | reference |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 247.7 | 169.7 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 194.4 | 106.3 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 485.5 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 478.6 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 483.3 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 491.9 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 525.5 | 254.5 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 490.5 | 313.7 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 491.1 | 309.8 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 470.5 | 128.2 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 465 | 128.9 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 472.8 | 118.9 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 484.4 | 115.6 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 793.3 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 749 | — | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | 753.3 | — | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | 707.2 | — | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | 703.6 | 330.6 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 688.2 | 363.3 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 759.6 | 450 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 620.2 | 151 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 617 | 154.3 | reference |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 697.3 | 179.4 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 688.4 | 165.1 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 668 | 1,425.4 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 609.6 | 1,295.7 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 608.9 | 1,311.2 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 613.6 | 1,216.5 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 635.2 | 1,399.7 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 638 | 880.2 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 640.9 | 1,473.2 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 650.2 | 1,514.9 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 602.9 | 1,432.6 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 588.3 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 603.5 | 1,291.2 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 582.8 | — | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 564.1 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 632.4 | 1,340.9 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 512.9 | 1,101.6 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 486.9 | 2,127.4 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 506.9 | 1,971.6 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 643 | 2,458.8 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 611 | 2,238.7 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 601.6 | 2,473 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 482.1 | 2,051.4 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 474 | 2,047.5 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,507.4 | 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 GTX 1080 | B · GeForce RTX 3060 Laptop GPU | Difference |
|---|---|---|---|
| Chip | |||
| Architecture | Pascal | Ampere | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 2,560 (CUDA cores) | 3,840 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,607 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. | 1,733 MHz | 1,283–1,703 MHz | not directly comparable |
| Memory | |||
| Video memory | 8 GB | 6 GB | A: 2 GB more |
| Memory type | GDDR5X | GDDR6 | differs |
| Memory bus | 256 bit | 192 bit | A: 64 bit more |
| Power and dimensions | |||
| Board powerTGP (NVIDIA) and TBP (AMD/Intel) are calculated differently; higher is not better. For laptops, the chip maker sets the range and the laptop maker picks the value, so the same chip behaves differently in different laptops. | 180 W (TDP) | no data | no data for B |
| Interface | PCIe 3.0 x16 | no data | no data for B |
Chip
Architecture
APascal
BAmpere
differsShader units
A2,560 (CUDA cores)
B3,840 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,607 MHz
Bno data
no data for BBoost clock
A1,733 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
AGDDR5X
BGDDR6
differsMemory bus
A256 bit
B192 bit
A: 64 bit more
Power and dimensions
Board power
A180 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.
Interface
APCIe 3.0 x16
Bno data
no data for B
“More” does not always mean “better”: higher power draw or size is a system requirement, not an advantage (such bars are dimmed).
Compare with AI
An AI model reviews the specs and benchmarks of this pair and gives a plain-language verdict on who each model suits.
Questions and answers
How much video memory do NVIDIA GeForce GTX 1080 and NVIDIA GeForce RTX 3060 Laptop GPU have?
NVIDIA GeForce GTX 1080: 8 GB GDDR5X, 256-bit bus. NVIDIA GeForce RTX 3060 Laptop GPU: 6 GB GDDR6, 192-bit bus.
Which is faster: NVIDIA GeForce GTX 1080 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 GTX 1080, 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 2.91.2, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, 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 4.3.0, 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 3.1.2, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.