GeForce RTX 2080 SUPER 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 +79.3%NVIDIA GeForce RTX 3080 Laptop GPU leads in this scenario (up to 79.3% 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 2080 SUPER is better0
No advantages found in our data.
Where GeForce RTX 3080 Laptop GPU is better5
Blender Benchmark 2.93.1 65.8% lower28 s vs 46 s
Blender Benchmark 2.93.1 77.5% lower16 s vs 29 s
Blender Benchmark 2.93.1 16.7% lower128 s vs 149 s
Blender Benchmark 2.92 15.4% lower121 s vs 139 s
Blender Benchmark 4.5.0 26.6% faster2,903 samples/min vs 2,293 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 65.8%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce RTX 2080 SUPER46.1 sGeForce RTX 3080 Laptop GPU27.8 sPosition among tested models (31, CUDA)
B · 28A · 460100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 65.8% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080 SUPER
46.1 s · community measurement, sample 33 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 33 submissions (3 outliers excluded), interquartile range 45.46–47.66; submissions 2021-07-11 to 2022-02-27; CUDA backend. Snapshot 2026-11-14.
- B · 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.
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 77.5%
Blender Benchmark 2.93.1
GPU, bmw27 (OPTIX) · s, lower is better
GeForce RTX 2080 SUPER28.8 sGeForce RTX 3080 Laptop GPU16.2 sPosition among tested models (20, OptiX)
B · 16A · 29050100150Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 77.5% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080 SUPER
28.8 s · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (0 outliers excluded), interquartile range 27.21–29.41; submissions 2021-07-19 to 2022-02-21; OPTIX backend. Snapshot 2026-11-14.
- B · 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.
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 16.7%
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce RTX 2080 SUPER149.3 sGeForce RTX 3080 Laptop GPU127.9 sPosition among tested models (26, CUDA)
B · 128A · 1490200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 16.7% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080 SUPER
149.3 s · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (1 outliers excluded), interquartile range 148.22–154.89; submissions 2021-07-11 to 2022-02-21; CUDA backend. Snapshot 2026-11-14.
- B · 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.
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 15.4%
Blender Benchmark 2.92
GPU, koro (OPTIX) · s, lower is better
GeForce RTX 2080 SUPER139.5 sGeForce RTX 3080 Laptop GPU120.9 sPosition among tested models (10, OptiX)
B · 121A · 1390100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 15.4% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080 SUPER
139.5 s · community measurement, sample 20 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 20 submissions (0 outliers excluded), interquartile range 89.37–144.85; submissions 2021-03-15 to 2021-09-16; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3080 Laptop GPU
120.9 s · community measurement, sample 25 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 25 submissions (0 outliers excluded), interquartile range 89.06–126.43; submissions 2021-03-18 to 2021-06-29; 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 26.6%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 2080 SUPER2,292.6 samples/minGeForce RTX 3080 Laptop GPU2,903 samples/minPosition among tested models (67, OptiX)
A · 2,293B · 2,90305,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 3080 Laptop GPU is ahead by 26.6% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080 SUPER
2,292.6 samples/min · community measurement, sample 40 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 40 submissions (3 outliers excluded), interquartile range 2221.12–2330.97; submissions 2025-07-24 to 2026-09-26; 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 (12)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 53.2 | 29.7 | B +79.3% |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 26.1 | 16.9 | B +54.8% |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,234.5 | 2,896.3 | B +29.6% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,431.9 | 3,484.9 | B +43.3% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,485.1 | 3,501.2 | B +40.9% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,462.5 | 3,431.4 | B +39.3% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,644.5 | 3,661.2 | B +38.4% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,634.8 | 3,353.3 | B +27.3% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,282.1 | 3,245.3 | B +42.2% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,327.6 | 3,222.4 | B +38.4% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,253.2 | 3,039.6 | B +34.9% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,571.2 | 2,914.3 | B +13.3% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (109)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 518.7 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 522.6 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | 917.2 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | 885.7 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 50.7 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 49.9 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 50.6 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 50.7 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 55.6 | 37.6 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 51.7 | 28.3 | reference |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | 28.1 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | 25.4 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | 25.4 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | 25.2 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 25.1 | 16.1 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 25.5 | 15.4 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 160.8 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 163.2 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 158.6 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 159.1 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 163.3 | 153.1 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 165.6 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 166.3 | 92.6 | reference |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | 96.2 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | 91.2 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | 90.8 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | 90.1 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 90.2 | 61.2 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 91.1 | 56.4 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 94 | 60.3 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 95.3 | 55.8 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 87 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 88 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 90.8 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 92.8 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 99.8 | 73.1 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 89.9 | 53.9 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 96.9 | 60.8 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 90.9 | 61.2 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | 40.4 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | 38.5 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | 39.6 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | 38.8 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 39.7 | 34.2 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 44.7 | 37.5 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 44.7 | 33.8 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 149.8 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 150.6 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 149.5 | — | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | 156.7 | — | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | 163.3 | 114.2 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 150.6 | — | no pair |
| Blender Benchmark 2.92GPU, koro (CUDA) | 155.3 | 104.3 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 147.3 | 100.2 | reference |
| Blender Benchmark 2.81GPU, koro (OPTIX) | 71.4 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | 68.3 | — | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | 67.7 | — | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | 67 | — | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 80.5 | 75.4 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 86 | 71.8 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 282.8 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 283.9 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 284.6 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 283.5 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 301.9 | 213.1 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 277.9 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 279 | 192.5 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 253.5 | 171.9 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | 129.1 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | 119.3 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | 123.3 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | 120.5 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 118.7 | 84.1 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 120.9 | 74 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 122.6 | 83.2 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 127.4 | 74.8 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 378.4 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 380.6 | — | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | 372 | — | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | 376.7 | — | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | 371.7 | 298.2 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 356.8 | — | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | 432 | 290.7 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 385.3 | 244.5 | reference |
| Blender Benchmark 2.81GPU, victor (OPTIX) | 409.6 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | 194.8 | — | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | 141.5 | — | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | 140.8 | — | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 132.8 | 98.9 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 134.1 | 86.4 | reference |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 165 | 124.7 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 159.7 | 106.2 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,755.1 | 2,050.2 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,631.8 | 2,014.7 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,646.2 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,769.3 | 557.4 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,667.7 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,171.8 | 2,749.2 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,202.7 | 2,746.4 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,537.9 | 3,401.4 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,425.3 | 3,508.4 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,430.7 | 3,366.6 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,168.2 | 3,234.9 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | — | 30.2 | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | — | 68 | 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 |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,970.5 | 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 SUPER | B · GeForce RTX 3080 Laptop GPU | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU104-450-A1 | no data | no data for B |
| Architecture | Turing | Ampere | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 3,072 (CUDA cores) | 6,144 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,650 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. | 1,815 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 |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 495.9 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) | no data | no data for B |
Chip
GPU chip
ATU104-450-A1
Bno data
no data for BArchitecture
ATuring
BAmpere
differsShader units
A3,072 (CUDA cores)
B6,144 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,650 MHz
Bno data
no data for BBoost clock
A1,815 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
equalMemory bandwidth
A495.9 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)
Bno data
no data for BTGP (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.
“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 2080 SUPER 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)
- Wikipedia (English) — specifications of NVIDIA GeForce RTX 2080 SUPER, release date and launch pricechecked November 14, 2026
- NVIDIA — specifications of NVIDIA GeForce RTX 3080 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 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.3.0, 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 3.2.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.