GeForce RTX 2050 Laptop GPU 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 +225.7%NVIDIA GeForce RTX 3060 Laptop GPU leads in this scenario (up to 225.7% 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 2050 Laptop GPU is better0
No advantages found in our data.
Where GeForce RTX 3060 Laptop GPU is better4
Blender Benchmark 4.5.0 190.2% faster2,166 samples/min vs 747 samples/min
Shader units 1,792 more3,840 (CUDA cores) vs 2,048 (CUDA cores)
Video memory 2 GB more6 GB vs 4 GB
Memory bus 128 bit more192 bit vs 64 bit
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 190.2%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 2050 Laptop GPU746.6 samples/minGeForce RTX 3060 Laptop GPU2,166.2 samples/minPosition among tested models (67, OptiX)
A · 747B · 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 190.2% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2050 Laptop GPU
746.6 samples/min · community measurement, sample 38 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 38 submissions (1 outliers excluded), interquartile range 690.49–833.91; submissions 2025-07-17 to 2026-07-19; 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 (3)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 700.3 | 2,182.2 | B +211.6% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 695.1 | 2,264.1 | B +225.7% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 717.1 | 2,197.2 | B +206.4% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (77)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 823.2 | 2,127.4 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 683.1 | 1,971.6 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 724.1 | 2,458.8 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 961.3 | 2,437.4 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 770.2 | 2,444.1 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 833.6 | 2,481.2 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 803.6 | 2,687.5 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 849.1 | 2,665.6 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 796 | 2,302.6 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 818.1 | 2,303.4 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 647.5 | 2,051.4 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 794.2 | 2,047.5 | reference |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | — | 76 | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | — | 48.9 | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | — | 47.3 | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | — | 40.8 | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | — | 22.5 | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | — | 25.4 | no pair |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | — | 23.4 | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | — | 23.2 | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | — | 255.8 | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | — | 165.5 | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | — | 150.1 | no pair |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | — | 208.3 | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | — | 100.6 | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | — | 97 | no pair |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | — | 92.7 | no pair |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | — | 87.8 | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | — | 131.7 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | — | 86.5 | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | — | 86 | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | — | 82.2 | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | — | 49.6 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | — | 50.5 | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | — | 54.1 | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | — | 50.2 | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | — | 144.4 | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | — | 166.2 | no pair |
| Blender Benchmark 2.92GPU, koro (CUDA) | — | 163.1 | no pair |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | — | 152 | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | — | 107.8 | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | — | 108.9 | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | — | 169.7 | no pair |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | — | 106.3 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | — | 254.5 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | — | 313.7 | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | — | 309.8 | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | — | 269.9 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | — | 128.2 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | — | 128.9 | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | — | 118.9 | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | — | 115.6 | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | — | 330.6 | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | — | 363.3 | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | — | 450 | no pair |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | — | 381.3 | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | — | 151 | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | — | 154.3 | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | — | 179.4 | no pair |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | — | 165.1 | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,425.4 | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,295.7 | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,311.2 | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,216.5 | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,399.7 | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 880.2 | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,473.2 | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,514.9 | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,432.6 | 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 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,473 | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,527 | 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 2050 Laptop GPU | B · GeForce RTX 3060 Laptop GPU | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | GA107 | no data | no data for B |
| Architecture | Ampere | Ampere | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 2,048 (CUDA cores) | 3,840 (CUDA cores) | B: 1,792 more |
| Clocks | |||
| Base clock | 1,155 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. | 1,477 MHz | 1,283–1,703 MHz | not directly comparable |
| Memory | |||
| Video memory | 4 GB | 6 GB | B: 2 GB more |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 64 bit | 192 bit | B: 128 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 112 GB/s | no data | no data for B |
| Power and dimensions | |||
| Interface | PCIe 3.0 x8 | no data | no data for B |
Chip
GPU chip
AGA107
Bno data
no data for BArchitecture
AAmpere
BAmpere
equalShader units
A2,048 (CUDA cores)
B3,840 (CUDA cores)
B: 1,792 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,155 MHz
Bno data
no data for BBoost clock
A1,477 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
A4 GB
B6 GB
B: 2 GB moreMemory type
AGDDR6
BGDDR6
equalMemory bus
A64 bit
B192 bit
B: 128 bit moreMemory bandwidth
A112 GB/s
Bno data
no data for BExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Interface
APCIe 3.0 x8
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 2050 Laptop GPU and NVIDIA GeForce RTX 3060 Laptop GPU have?
NVIDIA GeForce RTX 2050 Laptop GPU: 4 GB GDDR6, 64-bit bus. NVIDIA GeForce RTX 3060 Laptop GPU: 6 GB GDDR6, 192-bit bus.
Which is faster: NVIDIA GeForce RTX 2050 Laptop GPU 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 2050 Laptop GPU, 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 2.90, 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 4.2.0, 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.