GeForce RTX 2080 Ti vs GeForce RTX 4060: specs and benchmark comparison
BNVIDIA · Ada Lovelace
NVIDIA GeForce RTX 4060
- 8 GB GDDR6
- 115 W
- PSU 550 W+
June 29, 2023 · $299 at launch
Short verdict
NVIDIA GeForce RTX 4060 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 +12.6%NVIDIA GeForce RTX 4060 leads in this scenario (up to 12.6% 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 Ti is better2
Video memory 3 GB more11 GB vs 8 GB
Memory bus 224 bit more352 bit vs 128 bit
Where GeForce RTX 4060 is better2
Blender Benchmark 4.5.0 11.9% faster3,185 samples/min vs 2,845 samples/min
Launch price $700 lower$299 vs $999
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- B ahead by 11.9%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 2080 Ti2,845.2 samples/minGeForce RTX 40603,185 samples/minPosition among tested models (67, OptiX)
A · 2,845B · 3,18505,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 4060 is ahead by 11.9% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080 Ti
2,845.2 samples/min · community measurement, sample 131 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 131 submissions (5 outliers excluded), interquartile range 2732.17–2950.36; submissions 2025-07-18 to 2026-03-23; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 4060
3,185 samples/min · community measurement, sample 411 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 411 submissions (28 outliers excluded), interquartile range 3107.16–3224.43; submissions 2025-07-17 to 2026-08-25; 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 (7)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,799.5 | 3,068.4 | B +9.6% |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,835.9 | 3,068.8 | B +8.2% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,343.5 | 3,512.2 | B +5% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,872.1 | 3,198.1 | B +11.4% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,903.2 | 3,200.7 | B +10.2% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,818.4 | 3,061 | B +8.6% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,792.6 | 3,144.9 | B +12.6% |
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) | 521.2 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 514 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | 860.1 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | 866.3 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 37.5 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 37.4 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 37.7 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 38.2 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 40.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 38.8 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 39.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 33.9 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | 19.5 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | 20.4 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | 20.3 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | 19.3 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 19 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 19.3 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 19.8 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 22.1 | — | no pair |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 153.5 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 153.6 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 147.3 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 151.1 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 151.7 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 154.7 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 159.2 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 137.4 | — | no pair |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | 81.1 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | 82.6 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | 81.4 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | 82.5 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 82.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 84.5 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 84.2 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 86.2 | — | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 66.4 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 67.1 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 68.4 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 71 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 72.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 67.6 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 70.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 64.6 | — | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | 30.4 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | 31.2 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | 31.9 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | 31.4 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 30.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 30.5 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 33.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 33.5 | — | no pair |
| Blender Benchmark 2.81GPU, koro (CUDA) | 112.9 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 114.5 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 113.4 | — | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | 120.2 | — | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | 116.5 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 108.6 | — | no pair |
| Blender Benchmark 2.92GPU, koro (CUDA) | 111.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 102.5 | — | no pair |
| Blender Benchmark 2.81GPU, koro (OPTIX) | 56.1 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | 55.4 | — | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | 53.5 | — | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | 53.1 | — | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 59.4 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 59.2 | — | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 98.4 | — | no pair |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 63.5 | — | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 234.9 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 236.4 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 234.3 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 236 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 242.3 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 223.3 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 225.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 208.1 | — | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | 99.5 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | 101.3 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | 101.6 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | 99.5 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 98 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 99.5 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 100.2 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 105.1 | — | no pair |
| Blender Benchmark 2.81GPU, victor (CUDA) | 288.3 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 290 | — | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | 282.3 | — | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | 290.2 | — | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | 277.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 270.2 | — | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | 330 | — | no pair |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 282 | — | no pair |
| Blender Benchmark 2.81GPU, victor (OPTIX) | 131.2 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | 132.5 | — | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | 129.3 | — | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | 128.9 | — | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 116.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 118.1 | — | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 137.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 137.9 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,112.4 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,233.4 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,339.9 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,461.2 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,495.4 | — | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,225.7 | 1,887.7 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,330 | 1,888.4 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,754.3 | 2,978.5 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,373.2 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,084.5 | — | no pair |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,011.2 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,108.3 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,235.5 | 3,234.2 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,223 | 3,374.9 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,218.9 | 3,482.5 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,362.6 | 3,552 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,627.7 | 2,933.4 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,749.3 | 3,141.2 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,844.3 | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,988.8 | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,121.7 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce RTX 2080 Ti | B · GeForce RTX 4060 | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU102-300A-K1-A1 | no data | no data for B |
| Architecture | Turing | Ada Lovelace | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 4,352 (CUDA cores) | 3,072 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,350 MHz | 1,830 MHz | B: 480 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,545 MHz | 2,460 MHz | B: 915 MHz more |
| Memory | |||
| Video memory | 11 GB | 8 GB | A: 3 GB more |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 352 bit | 128 bit | A: 224 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 616 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. | 250 W (TDP) | 115 W (TGP) | not directly comparable |
| Recommended PSU | no data | 550 W | no data for A |
| Interface | no data | PCIe 4.0 | no data for A |
| Thickness (slots) | no data | 2 | no data for A |
Chip
GPU chip
ATU102-300A-K1-A1
Bno data
no data for BArchitecture
ATuring
BAda Lovelace
differsShader units
A4,352 (CUDA cores)
B3,072 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,350 MHz
B1,830 MHz
B: 480 MHz moreBoost clock
A1,545 MHz
B2,460 MHz
B: 915 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
A11 GB
B8 GB
A: 3 GB moreMemory type
AGDDR6
BGDDR6
equalMemory bus
A352 bit
B128 bit
A: 224 bit moreMemory bandwidth
A616 GB/s
Bno data
no data for BExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A250 W (TDP)
B115 W (TGP)
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 AThickness (slots)
Ano data
B2
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 Ti and NVIDIA GeForce RTX 4060 have?
NVIDIA GeForce RTX 2080 Ti: 11 GB GDDR6, 352-bit bus. NVIDIA GeForce RTX 4060: 8 GB GDDR6, 128-bit bus.
Which is faster: NVIDIA GeForce RTX 2080 Ti or NVIDIA GeForce RTX 4060?
NVIDIA GeForce RTX 4060 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 2080 Ti
- ModelNVIDIA GeForce RTX 4060
- ComparisonGeForce RTX 4060 vs GeForce RTX 5060
- ComparisonGeForce RTX 4060 vs Radeon RX 7600
- ComparisonArc B580 vs GeForce RTX 4060
- ComparisonGeForce RTX 3060 vs GeForce RTX 4060
- ComparisonGeForce RTX 4060 vs GeForce RTX 5050
- ComparisonGeForce RTX 3070 vs GeForce RTX 4060
- ComparisonGeForce RTX 4060 vs Radeon RX 6600
Data sources (3)
- Wikipedia (English) — specifications of NVIDIA GeForce RTX 2080 Ti, release date and launch pricechecked November 14, 2026
- NVIDIA — specifications of NVIDIA GeForce RTX 4060checked 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 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.0, 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 5.1.1, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.