GeForce RTX 3080 Laptop GPU vs GeForce RTX 3090: specs and benchmark comparison
BNVIDIA · Ampere
NVIDIA GeForce RTX 3090
- 24 GB GDDR6X
- 350 W
- PSU 750 W+
September 24, 2020 · $1,499 at launch
Short verdict
NVIDIA GeForce RTX 3090 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 +111.5%NVIDIA GeForce RTX 3090 leads in this scenario (up to 111.5% 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 3080 Laptop GPU is better0
No advantages found in our data.
Where GeForce RTX 3090 is better15
Blender Benchmark 2.93.1 64.2% lower17 s vs 28 s
Blender Benchmark 2.93.1 74.2% lower9 s vs 16 s
Blender Benchmark 2.93.1 60.9% lower80 s vs 128 s
Blender Benchmark 2.93.1 66.5% lower33 s vs 56 s
Blender Benchmark 2.93.1 77.7% lower34 s vs 61 s
Blender Benchmark 2.93.1 88.5% lower18 s vs 34 s
Blender Benchmark 2.93.1 83.6% lower55 s vs 100 s
Blender Benchmark 2.93.1 89.2% lower38 s vs 72 s
Blender Benchmark 2.93.1 73.1% lower99 s vs 172 s
Blender Benchmark 2.93.1 65.9% lower45 s vs 75 s
Blender Benchmark 2.93.1 76.3% lower139 s vs 245 s
Blender Benchmark 2.93.1 75.7% lower60 s vs 106 s
Blender Benchmark 4.5.0 86.8% faster5,424 samples/min vs 2,903 samples/min
Shader units 4,352 more10,496 (CUDA cores) vs 6,144 (CUDA cores)
Memory bus 128 bit more384 bit vs 256 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 64.2%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce RTX 3080 Laptop GPU27.8 sGeForce RTX 309016.9 sPosition among tested models (31, CUDA)
B · 17A · 280100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 64.2% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
27.8 s · community measurement, sample 73 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 73 submissions (0 outliers excluded), interquartile range 26.49–31.28; submissions 2021-07-29 to 2022-02-17; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
16.9 s · community measurement, sample 279 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 279 submissions (58 outliers excluded), interquartile range 16.76–17.19; submissions 2021-07-09 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 74.2%
Blender Benchmark 2.93.1
GPU, bmw27 (OPTIX) · s, lower is better
GeForce RTX 3080 Laptop GPU16.2 sGeForce RTX 30909.3 sPosition among tested models (20, OptiX)
B · 9A · 16050100150Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 74.2% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
16.2 s · community measurement, sample 81 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 81 submissions (1 outliers excluded), interquartile range 15.92–18.21; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
9.3 s · community measurement, sample 244 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 244 submissions (56 outliers excluded), interquartile range 9.17–9.43; submissions 2021-07-10 to 2022-02-28; OPTIX 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 60.9%
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce RTX 3080 Laptop GPU127.9 sGeForce RTX 309079.5 sPosition among tested models (26, CUDA)
B · 80A · 1280200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 60.9% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
127.9 s · community measurement, sample 69 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 69 submissions (0 outliers excluded), interquartile range 118.87–142.98; submissions 2021-07-29 to 2022-02-17; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
79.5 s · community measurement, sample 260 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 260 submissions (43 outliers excluded), interquartile range 78.58–81; submissions 2021-07-09 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 66.5%
Blender Benchmark 2.93.1
GPU, classroom (OPTIX) · s, lower is better
GeForce RTX 3080 Laptop GPU55.8 sGeForce RTX 309033.5 sPosition among tested models (14, OptiX)
B · 33A · 56050100150200Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 66.5% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
55.8 s · community measurement, sample 71 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 71 submissions (3 outliers excluded), interquartile range 53.28–60.77; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
33.5 s · community measurement, sample 182 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 182 submissions (15 outliers excluded), interquartile range 32.84–34.67; submissions 2021-07-10 to 2022-02-28; OPTIX 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 77.7%
Blender Benchmark 2.93.1
GPU, fishy_cat (CUDA) · s, lower is better
GeForce RTX 3080 Laptop GPU61.2 sGeForce RTX 309034.4 sPosition among tested models (21, CUDA)
B · 34A · 610100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 77.7% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
61.2 s · community measurement, sample 57 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 57 submissions (0 outliers excluded), interquartile range 57.69–68.24; submissions 2021-07-29 to 2022-02-17; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
34.4 s · community measurement, sample 213 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 213 submissions (51 outliers excluded), interquartile range 34.13–34.9; submissions 2021-07-09 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 88.5%
Blender Benchmark 2.93.1
GPU, fishy_cat (OPTIX) · s, lower is better
GeForce RTX 3080 Laptop GPU33.8 sGeForce RTX 309017.9 sPosition among tested models (13, OptiX)
B · 18A · 34020406080Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 88.5% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
33.8 s · community measurement, sample 69 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 69 submissions (4 outliers excluded), interquartile range 32.83–36.65; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
17.9 s · community measurement, sample 141 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 141 submissions (40 outliers excluded), interquartile range 17.77–18.14; submissions 2021-07-10 to 2022-02-28; OPTIX 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 83.6%
Blender Benchmark 2.93.1
GPU, koro (CUDA) · s, lower is better
GeForce RTX 3080 Laptop GPU100.2 sGeForce RTX 309054.6 sPosition among tested models (20, CUDA)
B · 55A · 1000200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 83.6% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
100.2 s · community measurement, sample 56 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 56 submissions (0 outliers excluded), interquartile range 93.87–111.03; submissions 2021-07-29 to 2022-02-14; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
54.6 s · community measurement, sample 216 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 216 submissions (47 outliers excluded), interquartile range 54.03–55.35; submissions 2021-07-09 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 89.2%
Blender Benchmark 2.93.1
GPU, koro (OPTIX) · s, lower is better
GeForce RTX 3080 Laptop GPU71.8 sGeForce RTX 309037.9 sPosition among tested models (13, OptiX)
B · 38A · 72050100150200Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 89.2% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
71.8 s · community measurement, sample 64 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 64 submissions (6 outliers excluded), interquartile range 69.49–75.41; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
37.9 s · community measurement, sample 143 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 143 submissions (36 outliers excluded), interquartile range 37.49–38.45; submissions 2021-07-10 to 2022-02-28; OPTIX 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 73.1%
Blender Benchmark 2.93.1
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce RTX 3080 Laptop GPU171.9 sGeForce RTX 309099.3 sPosition among tested models (21, CUDA)
B · 99A · 1720200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 73.1% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
171.9 s · community measurement, sample 56 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 56 submissions (0 outliers excluded), interquartile range 158.37–189.91; submissions 2021-07-29 to 2022-02-18; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
99.3 s · community measurement, sample 215 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 215 submissions (50 outliers excluded), interquartile range 98.46–100.87; submissions 2021-07-09 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 65.9%
Blender Benchmark 2.93.1
GPU, pavillon_barcelona (OPTIX) · s, lower is better
GeForce RTX 3080 Laptop GPU74.8 sGeForce RTX 309045.1 sPosition among tested models (13, OptiX)
B · 45A · 750100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 65.9% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
74.8 s · community measurement, sample 68 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 68 submissions (2 outliers excluded), interquartile range 73.23–83.08; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
45.1 s · community measurement, sample 145 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 145 submissions (26 outliers excluded), interquartile range 44.57–45.81; submissions 2021-07-10 to 2022-02-28; OPTIX 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 76.3%
Blender Benchmark 2.93.1
GPU, victor (CUDA) · s, lower is better
GeForce RTX 3080 Laptop GPU244.5 sGeForce RTX 3090138.7 sPosition among tested models (19, CUDA)
B · 139A · 24502505007501,000Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 76.3% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
244.5 s · community measurement, sample 59 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 59 submissions (0 outliers excluded), interquartile range 229.05–270.05; submissions 2021-07-29 to 2022-02-14; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
138.7 s · community measurement, sample 217 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 217 submissions (43 outliers excluded), interquartile range 137.5–140.78; submissions 2021-07-09 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 75.7%
Blender Benchmark 2.93.1
GPU, victor (OPTIX) · s, lower is better
GeForce RTX 3080 Laptop GPU106.2 sGeForce RTX 309060.4 sPosition among tested models (13, OptiX)
B · 60A · 1060100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3090 is ahead by 75.7% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 3080 Laptop GPU
106.2 s · community measurement, sample 62 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 62 submissions (5 outliers excluded), interquartile range 103.1–112.74; submissions 2021-07-12 to 2022-02-25; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3090
60.4 s · community measurement, sample 144 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 144 submissions (24 outliers excluded), interquartile range 59.46–61.01; submissions 2021-07-10 to 2022-02-28; OPTIX 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 86.8%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 3080 Laptop GPU2,903 samples/minGeForce RTX 30905,423.6 samples/minPosition among tested models (67, OptiX)
A · 2,903B · 5,42405,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 3090 is ahead by 86.8% in this benchmark.
About the measurement and source
- A · 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.
- B · NVIDIA GeForce RTX 3090
5,423.6 samples/min · community measurement, sample 596 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 596 submissions (34 outliers excluded), interquartile range 5240.15–5558.47; submissions 2025-07-17 to 2026-10-19; 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 (19)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 29.7 | 18.5 | B +60.4% |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 16.9 | 9.1 | B +85.9% |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 60.3 | 34.4 | B +75.4% |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 37.5 | 18.4 | B +104.5% |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 120.9 | 57.1 | B +111.5% |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 83.2 | 45.1 | B +84.7% |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 124.7 | 62.5 | B +99.4% |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,896.3 | 5,354.8 | B +84.9% |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,749.2 | 5,253.3 | B +91.1% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,484.9 | 6,560.4 | B +88.3% |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,366.6 | 5,625.7 | B +67.1% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,501.2 | 6,018.2 | B +71.9% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,431.4 | 6,014.6 | B +75.3% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,661.2 | 6,296.9 | B +72% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,353.3 | 6,305.5 | B +88% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,245.3 | 5,536.1 | B +70.6% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,222.4 | 5,536.4 | B +71.8% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,039.6 | 5,347.6 | B +75.9% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,914.3 | 5,333 | B +83% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (61)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 37.6 | 21.5 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 28.3 | 18.5 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 16.1 | 8.9 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 15.4 | 9.2 | reference |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 153.1 | 70.6 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 92.6 | 55.5 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 61.2 | 35.2 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 56.4 | 37.1 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 73.1 | 39 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 53.9 | 33.9 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 60.8 | 34.8 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 34.2 | 16.5 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 30.2 | 16.7 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 114.2 | 58 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 104.3 | 58 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 75.4 | 36.5 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 68 | 36.3 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 213.1 | 119.6 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 192.5 | 109.3 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 84.1 | 45.4 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 74 | 46.9 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 298.2 | 159.1 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 290.7 | 178.3 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 98.9 | 52.8 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 86.4 | 53.9 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,050.2 | 3,696.5 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,014.7 | 3,418.3 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 557.4 | 3,729.7 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 2,018.3 | 4,060.8 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,785 | 3,724.8 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,890.6 | 3,730.8 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,746.4 | 5,093.8 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,401.4 | 5,841.8 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,508.4 | 6,566.2 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,970.5 | 4,875.8 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 3,234.9 | 5,266.1 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | — | 20.5 | no pair |
| Blender Benchmark 2.90.1GPU, bmw27 (OPTIX) | — | 8.9 | no pair |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | — | 67.4 | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | — | 58.8 | no pair |
| Blender Benchmark 2.90.1GPU, classroom (OPTIX) | — | 38.9 | no pair |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | — | 37.3 | no pair |
| Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX) | — | 16.8 | no pair |
| Blender Benchmark 2.90.1GPU, koro (CUDA) | — | 57.5 | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | — | 57.5 | no pair |
| Blender Benchmark 2.90.1GPU, koro (OPTIX) | — | 37.1 | no pair |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA) | — | 108.8 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | — | 108.5 | no pair |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX) | — | 46.6 | no pair |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | — | 148.7 | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | — | 124.3 | no pair |
| Blender Benchmark 2.90.1GPU, victor (OPTIX) | — | 57.7 | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 3,138.2 | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 3,448.2 | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 3,797.9 | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 3,864 | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 3,735.6 | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 3,699.3 | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 3,798 | no pair |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 5,826.5 | no pair |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 5,143.8 | 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 3080 Laptop GPU | B · GeForce RTX 3090 | Difference |
|---|---|---|---|
| Chip | |||
| Architecture | Ampere | Ampere | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 6,144 (CUDA cores) | 10,496 (CUDA cores) | B: 4,352 more |
| Clocks | |||
| Base clock | no data | 1,400 MHz | no data for A |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,245–1,710 MHz | 1,700 MHz | not directly comparable |
| Memory | |||
| Video memory | no data | 24 GB | no data for A |
| Memory type | GDDR6 | GDDR6X | differs |
| Memory bus | 256 bit | 384 bit | B: 128 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. | no data | 350 W (board power) | no data for A |
| Recommended PSU | no data | 750 W | no data for A |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | no data | 313 mm | no data for A |
| Thickness (slots) | no data | 3 | no data for A |
| Power connectors (reference) | no data | 2x 8-pin (adapter to 1x 12-pin included) — FE | no data for A |
Chip
Architecture
AAmpere
BAmpere
equalShader units
A6,144 (CUDA cores)
B10,496 (CUDA cores)
B: 4,352 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
Ano data
B1,400 MHz
no data for ABoost clock
A1,245–1,710 MHz
B1,700 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
Ano data
B24 GB
no data for AMemory type
AGDDR6
BGDDR6X
differsMemory bus
A256 bit
B384 bit
B: 128 bit more
Power and dimensions
Board power
Ano data
B350 W (board power)
no data for ATGP (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
B750 W
no data for ALength (reference / Founders Edition)
Ano data
B313 mm
no data for APartner cards have different dimensions; check the specific SKU.
Thickness (slots)
Ano data
B3
no data for APower connectors (reference)
Ano data
B2x 8-pin (adapter to 1x 12-pin included) — FE
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
Which is faster: NVIDIA GeForce RTX 3080 Laptop GPU or NVIDIA GeForce RTX 3090?
NVIDIA GeForce RTX 3090 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 3080 Laptop GPU, specifications of NVIDIA GeForce RTX 3090checked November 7, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.90.1, 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 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.2, 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.