GeForce RTX 3070 Ti Laptop GPU vs GeForce RTX 3080 Laptop GPU: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 3080 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 +13.3%NVIDIA GeForce RTX 3080 Laptop GPU leads in this scenario (up to 13.3% 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 3070 Ti Laptop GPU is better0
No advantages found in our data.
Where GeForce RTX 3080 Laptop GPU is better1
Shader units 256 more6,144 (CUDA cores) vs 5,888 (CUDA cores)
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.
- 1% 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 3070 Ti Laptop GPU2,873.9 samples/minGeForce RTX 3080 Laptop GPU2,903 samples/minPosition among tested models (67, OptiX)
A · 2,874B · 2,90305,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. The 1% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 3070 Ti Laptop GPU
2,873.9 samples/min · community measurement, sample 87 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 87 submissions (3 outliers excluded), interquartile range 2530.66–3131.61; submissions 2025-07-18 to 2026-06-09; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3080 Laptop GPU
2,903 samples/min · community measurement, sample 46 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 46 submissions (7 outliers excluded), interquartile range 2826.16–3093.58; submissions 2025-07-19 to 2026-03-10; 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 (11)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,849 | 2,896.3 | B +1.7% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,231.6 | 3,484.9 | B +7.8% |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,121.6 | 3,366.6 | B +7.8% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,474.7 | 3,501.2 | B +0.8% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,367.3 | 3,431.4 | B +1.9% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,314.9 | 3,661.2 | B +10.4% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,307.3 | 3,353.3 | B +1.4% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,946.3 | 3,245.3 | B +10.2% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,941.2 | 3,222.4 | B +9.6% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,682.5 | 3,039.6 | B +13.3% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,711 | 2,914.3 | B +7.5% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (60)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 31.6 | 27.8 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 18.5 | 16.2 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 139.5 | 127.9 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 62.7 | 55.8 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 67.5 | 61.2 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 37.9 | 33.8 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 111.7 | 100.2 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 80.8 | 71.8 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 188.7 | 171.9 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 86.6 | 74.8 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 273 | 244.5 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 120.9 | 106.2 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,780 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,076.2 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,532.9 | 2,749.2 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,652.3 | 2,746.4 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,495.7 | 3,401.4 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,857.6 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,294.5 | 3,508.4 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,633.1 | 2,970.5 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,748.3 | 3,234.9 | reference |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,346.3 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | — | 37.6 | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | — | 28.3 | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | — | 29.7 | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | — | 16.1 | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | — | 15.4 | no pair |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | — | 16.9 | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | — | 153.1 | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | — | 92.6 | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | — | 61.2 | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | — | 56.4 | no pair |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | — | 60.3 | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | — | 73.1 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | — | 53.9 | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | — | 60.8 | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | — | 34.2 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | — | 30.2 | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | — | 37.5 | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | — | 114.2 | no pair |
| Blender Benchmark 2.92GPU, koro (CUDA) | — | 104.3 | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | — | 75.4 | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | — | 68 | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | — | 120.9 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | — | 213.1 | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | — | 192.5 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | — | 84.1 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | — | 74 | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | — | 83.2 | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | — | 298.2 | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | — | 290.7 | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | — | 98.9 | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | — | 86.4 | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | — | 124.7 | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 2,050.2 | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 2,014.7 | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 557.4 | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 2,018.3 | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,785 | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,890.6 | 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 3070 Ti Laptop GPU | B · GeForce RTX 3080 Laptop GPU | Difference |
|---|---|---|---|
| Chip | |||
| Architecture | Ampere | Ampere | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 5,888 (CUDA cores) | 6,144 (CUDA cores) | B: 256 more |
| Clocks | |||
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,035–1,485 MHz | 1,245–1,710 MHz | not directly comparable |
| Memory | |||
| Video memory | 8 GB | no data | no data for B |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 256 bit | 256 bit | equal |
Chip
Architecture
AAmpere
BAmpere
equalShader units
A5,888 (CUDA cores)
B6,144 (CUDA cores)
B: 256 moreShader unit counts are comparable only within one architecture.
Clocks
Boost clock
A1,035–1,485 MHz
B1,245–1,710 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
Bno data
no data for BMemory type
AGDDR6
BGDDR6
equalMemory bus
A256 bit
B256 bit
equal
“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
Which is faster: NVIDIA GeForce RTX 3070 Ti Laptop GPU or NVIDIA GeForce RTX 3080 Laptop GPU?
NVIDIA GeForce RTX 3080 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)
- NVIDIA — specifications of NVIDIA GeForce RTX 3070 Ti Laptop GPU, specifications of NVIDIA GeForce RTX 3080 Laptop GPUchecked November 7, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.5.0, 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
- Wikipedia (English) — release date and launch pricechecked November 14, 2026
How we compare: methodology. Where the data comes from: sources.