GeForce RTX 4080 vs GeForce RTX 4080 SUPER: specs and benchmark comparison
ANVIDIA · Ada Lovelace
NVIDIA GeForce RTX 4080
- 16 GB GDDR6X
- 320 W
- PSU 750 W+
November 16, 2022 · $1,199 at launch
BNVIDIA · Ada Lovelace
NVIDIA GeForce RTX 4080 SUPER
- 16 GB GDDR6X
- 320 W
- PSU 750 W+
January 31, 2024 · $999 at launch
Short verdict
In the available comparable benchmarks the difference is below the noticeable threshold, so no significant advantage was found.
Compare with AIRendering and compute
≈ parityThe difference in available benchmarks is below the noticeable threshold, so there is no significant advantage.
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 4080 is better0
No advantages found in our data.
Where GeForce RTX 4080 SUPER is better2
Shader units 512 more10,240 (CUDA cores) vs 9,728 (CUDA cores)
Launch price $200 lower$999 vs $1,199
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- 0.2% 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 40808,409.3 samples/minGeForce RTX 4080 SUPER8,430.2 samples/minPosition among tested models (67, OptiX)
A · 8,409B · 8,43005,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. The 0.2% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 4080
8,409.3 samples/min · community measurement, sample 199 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 199 submissions (20 outliers excluded), interquartile range 8230.5–8528.15; submissions 2025-07-18 to 2026-08-19; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 4080 SUPER
8,430.2 samples/min · community measurement, sample 233 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 233 submissions (6 outliers excluded), interquartile range 8071.61–8656.32; submissions 2025-07-16 to 2026-10-15; 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 (8)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,287 | 8,364.3 | B +0.9% |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,486.5 | 8,383.2 | A +1.2% |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,284.8 | 8,225.4 | A +0.7% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 9,661.3 | 9,533.8 | A +1.3% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,618.1 | 8,521.5 | A +1.1% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,621.9 | 8,715.1 | B +1.1% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,293 | 8,363.6 | B +0.9% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,456.2 | 8,473.5 | B +0.2% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (12)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 6,156.7 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 5,359.2 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 5,208.7 | 4,526.5 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,005.5 | 7,945.6 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 9,238.6 | 9,448.4 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 9,347.7 | 9,503.1 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 9,732.9 | 9,904.9 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 7,946.5 | 7,622.3 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,492.3 | 8,589.7 | reference |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 10,165.2 | 9,573.1 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 5,675.3 | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 5,702.1 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce RTX 4080 | B · GeForce RTX 4080 SUPER | Difference |
|---|---|---|---|
| Chip | |||
| Architecture | Ada Lovelace | Ada Lovelace | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 9,728 (CUDA cores) | 10,240 (CUDA cores) | B: 512 more |
| Clocks | |||
| Base clock | 2,210 MHz | 2,290 MHz | B: 80 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 2,510 MHz | 2,550 MHz | B: 40 MHz more |
| Memory | |||
| Video memory | 16 GB | 16 GB | equal |
| Memory type | GDDR6X | GDDR6X | equal |
| Memory bus | 256 bit | 256 bit | equal |
| 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. | 320 W (TGP) | 320 W (TGP) | equal |
| Recommended PSU | 750 W | 750 W | equal |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | 304 mm | 304 mm | equal |
| Thickness (slots) | 3 | 3 | equal |
| Power connectors (reference) | 3x 8-pin (adapter) or 450+ W PCIe Gen 5 — FE | 3x 8-pin (adapter) or 450+ W PCIe Gen 5 — FE | equal |
Chip
Architecture
AAda Lovelace
BAda Lovelace
equalShader units
A9,728 (CUDA cores)
B10,240 (CUDA cores)
B: 512 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A2,210 MHz
B2,290 MHz
B: 80 MHz moreBoost clock
A2,510 MHz
B2,550 MHz
B: 40 MHz moreClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit.
Memory
Video memory
A16 GB
B16 GB
equalMemory type
AGDDR6X
BGDDR6X
equalMemory bus
A256 bit
B256 bit
equal
Power and dimensions
Board power
A320 W (TGP)
B320 W (TGP)
equalTGP (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
A750 W
B750 W
equalLength (reference / Founders Edition)
A304 mm
B304 mm
equalPartner cards have different dimensions; check the specific SKU.
Thickness (slots)
A3
B3
equalPower connectors (reference)
A3x 8-pin (adapter) or 450+ W PCIe Gen 5 — FE
B3x 8-pin (adapter) or 450+ W PCIe Gen 5 — FE
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
How much video memory do NVIDIA GeForce RTX 4080 and NVIDIA GeForce RTX 4080 SUPER have?
NVIDIA GeForce RTX 4080: 16 GB GDDR6X, 256-bit bus. NVIDIA GeForce RTX 4080 SUPER: 16 GB GDDR6X, 256-bit bus.
What power supply does the manufacturer recommend?
For NVIDIA GeForce RTX 4080, 750 W or more; for NVIDIA GeForce RTX 4080 SUPER, 750 W or more. This is a recommendation for a typical system; also check the power connectors of the specific card model.
Which is faster: NVIDIA GeForce RTX 4080 or NVIDIA GeForce RTX 4080 SUPER?
In the available comparable benchmarks the difference is below the noticeable threshold, so no significant advantage was found.
See also
Data sources (3)
- NVIDIA — specifications of NVIDIA GeForce RTX 4080, specifications of NVIDIA GeForce RTX 4080 SUPERchecked November 7, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.2.0, 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 4.1.0, 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.