GeForce RTX 2080 SUPER vs GeForce RTX 3070 Laptop GPU: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 3070 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 +75.8%NVIDIA GeForce RTX 3070 Laptop GPU leads in this scenario (up to 75.8% 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 3070 Laptop GPU is better5
Blender Benchmark 2.93.1 60.4% lower29 s vs 46 s
Blender Benchmark 2.93.1 66.7% lower17 s vs 29 s
Blender Benchmark 2.93.1 11.1% lower134 s vs 149 s
Blender Benchmark 2.92 14.2% lower122 s vs 139 s
Blender Benchmark 4.5.0 20.4% faster2,761 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 60.4%
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce RTX 2080 SUPER46.1 sGeForce RTX 3070 Laptop GPU28.7 sPosition among tested models (31, CUDA)
B · 29A · 460100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3070 Laptop GPU is ahead by 60.4% 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 3070 Laptop GPU
28.7 s · community measurement, sample 116 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 116 submissions (3 outliers excluded), interquartile range 27.25–32.03; submissions 2021-07-12 to 2022-02-27; 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 66.7%
Blender Benchmark 2.93.1
GPU, bmw27 (OPTIX) · s, lower is better
GeForce RTX 2080 SUPER28.8 sGeForce RTX 3070 Laptop GPU17.3 sPosition among tested models (20, OptiX)
B · 17A · 29050100150Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3070 Laptop GPU is ahead by 66.7% 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 3070 Laptop GPU
17.3 s · community measurement, sample 101 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 101 submissions (5 outliers excluded), interquartile range 16.84–19.15; submissions 2021-07-09 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 11.1%
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce RTX 2080 SUPER149.3 sGeForce RTX 3070 Laptop GPU134.3 sPosition among tested models (26, CUDA)
B · 134A · 1490200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3070 Laptop GPU is ahead by 11.1% 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 3070 Laptop GPU
134.3 s · community measurement, sample 91 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 91 submissions (4 outliers excluded), interquartile range 127.14–146.92; submissions 2021-07-12 to 2022-02-27; 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 14.2%
Blender Benchmark 2.92
GPU, koro (OPTIX) · s, lower is better
GeForce RTX 2080 SUPER139.5 sGeForce RTX 3070 Laptop GPU122.2 sPosition among tested models (10, OptiX)
B · 122A · 1390100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 3070 Laptop GPU is ahead by 14.2% 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 3070 Laptop GPU
122.2 s · community measurement, sample 32 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 32 submissions (0 outliers excluded), interquartile range 83.31–140.19; submissions 2021-03-13 to 2021-12-30; 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 20.4%
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 3070 Laptop GPU2,760.6 samples/minPosition among tested models (67, OptiX)
A · 2,293B · 2,76105,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 3070 Laptop GPU is ahead by 20.4% 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 3070 Laptop GPU
2,760.6 samples/min · community measurement, sample 118 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 118 submissions (5 outliers excluded), interquartile range 2251.76–2939.6; submissions 2025-07-17 to 2026-08-15; 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 | 30.2 | B +75.8% |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 26.1 | 16.5 | B +58.7% |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,234.5 | 2,914.8 | B +30.4% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,431.9 | 3,003.3 | B +23.5% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,485.1 | 3,287.6 | B +32.3% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,462.5 | 3,248.3 | B +31.9% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,644.5 | 3,486.4 | B +31.8% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,634.8 | 3,241.2 | B +23% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,282.1 | 2,872.2 | B +25.9% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,327.6 | 3,005.4 | B +29.1% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,253.2 | 2,905.5 | B +29% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,571.2 | 2,692.5 | B +4.7% |
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 | 31.9 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 51.7 | 31.1 | 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 | 15.6 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 25.5 | 17.8 | 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 | 95.2 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 165.6 | 102.9 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 166.3 | 99.7 | 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 | 57.4 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 91.1 | 65.5 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 94 | 60.6 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 95.3 | 61.5 | 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 | 62.4 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 89.9 | 61.3 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 96.9 | 67.4 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 90.9 | 63.7 | 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 | 33.3 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 44.7 | 38.4 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 44.7 | 38.2 | 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 | 100.6 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 150.6 | 105.4 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 155.3 | 114.7 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 147.3 | 105.5 | 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 | 74.8 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 86 | 81.9 | 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 | 181.1 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 277.9 | 190.4 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 279 | 204.6 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 253.5 | 178.5 | 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 | 76.5 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 120.9 | 86.9 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 122.6 | 80.8 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 127.4 | 82.5 | 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 | 254.4 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 356.8 | 231.7 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 432 | 324.6 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 385.3 | 261.6 | 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 | 94.1 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 134.1 | 104.6 | reference |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 165 | 123.6 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 159.7 | 121.5 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,755.1 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,631.8 | 1,644.5 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,646.2 | 1,639.8 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,769.3 | 1,712.4 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,667.7 | 1,667.8 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,171.8 | 2,804.4 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,202.7 | 2,551.9 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,537.9 | 3,023.2 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,425.3 | 3,213.5 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,430.7 | 2,946.5 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,168.2 | 2,370.4 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | — | 36.7 | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | — | 82.6 | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 2,168.1 | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,780.2 | no pair |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,976 | no pair |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 2,685.1 | 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 3070 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) | 5,120 (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 | 1,290–1,620 MHz | not directly comparable |
| Memory | |||
| Video memory | 8 GB | 8 GB | equal |
| 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)
B5,120 (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
B1,290–1,620 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
B8 GB
equalMemory 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
How much video memory do NVIDIA GeForce RTX 2080 SUPER and NVIDIA GeForce RTX 3070 Laptop GPU have?
NVIDIA GeForce RTX 2080 SUPER: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 3070 Laptop GPU: 8 GB GDDR6, 256-bit bus.
Which is faster: NVIDIA GeForce RTX 2080 SUPER or NVIDIA GeForce RTX 3070 Laptop GPU?
NVIDIA GeForce RTX 3070 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 3070 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 4.2.0, 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 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 5.0.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.