GeForce RTX 4070 SUPER vs GeForce RTX 5080 Laptop GPU: specs and benchmark comparison
ANVIDIA · Ada Lovelace
NVIDIA GeForce RTX 4070 SUPER
- 12 GB GDDR6X
- 220 W
- PSU 650 W+
January 17, 2024 · $599 at launch
Short verdict
NVIDIA GeForce RTX 5080 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 +25.6%NVIDIA GeForce RTX 5080 Laptop GPU leads in this scenario (up to 25.6% 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 4070 SUPER is better0
No advantages found in our data.
Where GeForce RTX 5080 Laptop GPU is better2
Video memory 4 GB more16 GB vs 12 GB
Memory bus 64 bit more256 bit vs 192 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.
- 4.6% 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 4070 SUPER6,267.9 samples/minGeForce RTX 5080 Laptop GPU6,558 samples/minPosition among tested models (67, OptiX)
A · 6,268B · 6,55805,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. The 4.6% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 4070 SUPER
6,267.9 samples/min · community measurement, sample 448 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 448 submissions (21 outliers excluded), interquartile range 6009.46–6439.99; submissions 2025-07-17 to 2026-11-11; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 5080 Laptop GPU
6,558 samples/min · community measurement, sample 240 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 240 submissions (10 outliers excluded), interquartile range 5875.4–6990.32; submissions 2025-07-17 to 2026-08-21; 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 (4)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,209.5 | 6,550.3 | B +5.5% |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 5,970.4 | 7,500.3 | B +25.6% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,169.7 | 6,829.7 | B +10.7% |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,113.7 | 6,723.1 | B +10% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (16)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 4,070.7 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 3,969.7 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 3,989.7 | — | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 4,090.2 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 4,088 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,067.5 | 6,837.3 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,140.3 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,920.2 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,990.3 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,903.7 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,923.4 | 7,755.2 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,370.1 | — | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,352.9 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,078.3 | — | no pair |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 5,931.9 | 6,363.1 | reference |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 7,092.6 | 8,783.9 | reference |
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 4070 SUPER | B · GeForce RTX 5080 Laptop GPU | Difference |
|---|---|---|---|
| Chip | |||
| Architecture | Ada Lovelace | Blackwell | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 7,168 (CUDA cores) | 7,680 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,980 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. | 2,480 MHz | 1,500–2,287 MHz | not directly comparable |
| Memory | |||
| Video memory | 12 GB | 16 GB | B: 4 GB more |
| Memory type | GDDR6X | GDDR7 | differs |
| Memory bus | 192 bit | 256 bit | B: 64 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. | 220 W (TGP) | 80–150 W (graphics subsystem power) | not directly comparable |
| Recommended PSU | 650 W | no data | no data for B |
| Interface | PCIe 4.0 | PCIe 5.0 | differs |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | 244 mm | no data | no data for B |
| Thickness (slots) | 2 | no data | no data for B |
| Power connectors (reference) | 1x 16-pin (adapter to 2x 8-pin included) — Founders Edition | no data | no data for B |
Chip
Architecture
AAda Lovelace
BBlackwell
differsShader units
A7,168 (CUDA cores)
B7,680 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,980 MHz
Bno data
no data for BBoost clock
A2,480 MHz
B1,500–2,287 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
A12 GB
B16 GB
B: 4 GB moreMemory type
AGDDR6X
BGDDR7
differsMemory bus
A192 bit
B256 bit
B: 64 bit more
Power and dimensions
Board power
A220 W (TGP)
B80–150 W (graphics subsystem power)
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
A650 W
Bno data
no data for BInterface
APCIe 4.0
BPCIe 5.0
differsLength (reference / Founders Edition)
A244 mm
Bno data
no data for BPartner cards have different dimensions; check the specific SKU.
Thickness (slots)
A2
Bno data
no data for BPower connectors (reference)
A1x 16-pin (adapter to 2x 8-pin included) — Founders Edition
Bno data
no data for B
“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 4070 SUPER and NVIDIA GeForce RTX 5080 Laptop GPU have?
NVIDIA GeForce RTX 4070 SUPER: 12 GB GDDR6X, 192-bit bus. NVIDIA GeForce RTX 5080 Laptop GPU: 16 GB GDDR7, 256-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce RTX 4070 SUPER: PCIe 4.0. NVIDIA GeForce RTX 5080 Laptop GPU: PCIe 5.0.
Which is faster: NVIDIA GeForce RTX 4070 SUPER or NVIDIA GeForce RTX 5080 Laptop GPU?
NVIDIA GeForce RTX 5080 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 4070 SUPER, specifications of NVIDIA GeForce RTX 5080 Laptop GPUchecked November 7, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, 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 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.