GeForce RTX 2080 vs GeForce RTX 4050 Laptop GPU: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 4050 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 +18.4%NVIDIA GeForce RTX 4050 Laptop GPU leads in this scenario (up to 18.4% 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 2080 is better2
Video memory 2 GB more8 GB vs 6 GB
Memory bus 160 bit more256 bit vs 96 bit
Where GeForce RTX 4050 Laptop GPU is better1
Blender Benchmark 4.5.0 13.9% faster2,599 samples/min vs 2,282 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 13.9%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 20802,281.6 samples/minGeForce RTX 4050 Laptop GPU2,599 samples/minPosition among tested models (67, OptiX)
A · 2,282B · 2,59905,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 4050 Laptop GPU is ahead by 13.9% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080
2,281.6 samples/min · community measurement, sample 36 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 36 submissions (5 outliers excluded), interquartile range 2232.27–2305.83; submissions 2025-08-02 to 2026-03-01; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 4050 Laptop GPU
2,599 samples/min · community measurement, sample 373 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 373 submissions (30 outliers excluded), interquartile range 2464.65–2683.34; submissions 2025-07-17 to 2026-11-13; 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 (6)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,237.5 | 2,549.3 | B +13.9% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,594.9 | 2,915.8 | B +12.4% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,549.7 | 2,894 | B +13.5% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,266.7 | 2,643.1 | B +16.6% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,237 | 2,648.1 | B +18.4% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,213 | 2,518.8 | B +13.8% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (121)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 543.8 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 529.4 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | 931 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | 918.1 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 50.3 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 49.7 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 51.5 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 51.1 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 56 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 51.5 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 53.3 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 46 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | 27.6 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | 27.1 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | 27.3 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | 26.1 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 25.7 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 25.6 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 26.7 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 29.9 | — | no pair |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 167.7 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 164.6 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 163.6 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 163.6 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 167.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 171.2 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 175.2 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 154.1 | — | no pair |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | 96.5 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | 94.5 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | 95.3 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | 94.5 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 95 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 99.3 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 100 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 98.5 | — | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 88.5 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 88.3 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 91.5 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 93 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 99.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 86.8 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 97.3 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 90.7 | — | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | 40.8 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | 40.1 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | 42.2 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | 41.1 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 42.3 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 42.3 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 48.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 47.1 | — | no pair |
| Blender Benchmark 2.81GPU, koro (CUDA) | 153.2 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 153.1 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 152.1 | — | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | 159 | — | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | 165.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 152.1 | — | no pair |
| Blender Benchmark 2.92GPU, koro (CUDA) | 158.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 147.6 | — | no pair |
| Blender Benchmark 2.81GPU, koro (OPTIX) | 73.2 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | 73.6 | — | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | 72.8 | — | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | 72.2 | — | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 87.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 89.1 | — | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 156 | — | no pair |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 92.4 | — | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 290.3 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 287 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 291.2 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 288.2 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 305 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 278.3 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 285.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 257.8 | — | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | 129.3 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | 129.6 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | 129.4 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | 125.2 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 124.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 125.1 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 128.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 133 | — | no pair |
| Blender Benchmark 2.81GPU, victor (CUDA) | 380.7 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 379.7 | — | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | 373.7 | — | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | 374.9 | — | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | 374.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 354.5 | — | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | 434.6 | — | no pair |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 382 | — | no pair |
| Blender Benchmark 2.81GPU, victor (OPTIX) | 186.1 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | 211.4 | — | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | 151 | — | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | 150.3 | — | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 142.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 141.9 | — | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 175.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 164.9 | — | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,664.6 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,360.2 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,678.2 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,729.4 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,987.6 | 2,447.6 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,152.2 | 2,418.7 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,511.6 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,369.8 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,456.1 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,340.5 | 2,373.2 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,445 | 2,852 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,422.1 | 2,817.2 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,160.8 | 2,596.9 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,796.1 | 2,332.8 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,167.7 | 2,304.6 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,572.9 | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,429.4 | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,491.3 | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,397.4 | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,443 | no pair |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,840.4 | 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 2080 | B · GeForce RTX 4050 Laptop GPU | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU104-400A-A1 | no data | no data for B |
| Architecture | Turing | Ada Lovelace | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 2,944 (CUDA cores) | 2,560 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,515 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. | 1,710 MHz | 1,605–2,370 MHz | not directly comparable |
| Memory | |||
| Video memory | 8 GB | 6 GB | A: 2 GB more |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 256 bit | 96 bit | A: 160 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. | 215 W (TDP) | 35–115 W (graphics subsystem power) | not directly comparable |
| Interface | no data | PCIe 4.0 | no data for A |
Chip
GPU chip
ATU104-400A-A1
Bno data
no data for BArchitecture
ATuring
BAda Lovelace
differsShader units
A2,944 (CUDA cores)
B2,560 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,515 MHz
Bno data
no data for BBoost clock
A1,710 MHz
B1,605–2,370 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
B96 bit
A: 160 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
A215 W (TDP)
B35–115 W (graphics subsystem 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.
Interface
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 2080 and NVIDIA GeForce RTX 4050 Laptop GPU have?
NVIDIA GeForce RTX 2080: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 4050 Laptop GPU: 6 GB GDDR6, 96-bit bus.
Which is faster: NVIDIA GeForce RTX 2080 or NVIDIA GeForce RTX 4050 Laptop GPU?
NVIDIA GeForce RTX 4050 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 2080, release date and launch pricechecked November 14, 2026
- NVIDIA — specifications of NVIDIA GeForce RTX 4050 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 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.4.0, 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.