GeForce RTX 4070 Ti SUPER vs GeForce RTX 4080 SUPER: specs and benchmark comparison
ANVIDIA · Ada Lovelace
NVIDIA GeForce RTX 4070 Ti SUPER
- 16 GB GDDR6X
- 285 W
- PSU 700 W+
January 24, 2024 · $799 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
NVIDIA GeForce RTX 4080 SUPER 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 +18.9%NVIDIA GeForce RTX 4080 SUPER leads in this scenario (up to 18.9% 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 Ti SUPER is better2
Board power 35 W lower285 W (TGP) vs 320 W (TGP)
Launch price $200 lower$799 vs $999
Where GeForce RTX 4080 SUPER is better2
Blender Benchmark 4.5.0 18.4% faster8,430 samples/min vs 7,123 samples/min
Shader units 1,792 more10,240 (CUDA cores) vs 8,448 (CUDA cores)
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- B ahead by 18.4%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 4070 Ti SUPER7,122.7 samples/minGeForce RTX 4080 SUPER8,430.2 samples/minPosition among tested models (67, OptiX)
A · 7,123B · 8,43005,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 4080 SUPER is ahead by 18.4% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 4070 Ti SUPER
7,122.7 samples/min · community measurement, sample 226 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 226 submissions (27 outliers excluded), interquartile range 6958.15–7262.73; submissions 2025-07-17 to 2026-07-06; 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) | 7,034.3 | 8,364.3 | B +18.9% |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 7,125.7 | 8,383.2 | B +17.6% |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,999.2 | 8,225.4 | B +17.5% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,143.7 | 9,533.8 | B +17.1% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 7,237.9 | 8,521.5 | B +17.7% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 7,327.6 | 8,715.1 | B +18.9% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 7,032.4 | 8,363.6 | B +18.9% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 7,134.6 | 8,473.5 | B +18.8% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (10)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,012.6 | 9,448.4 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,722.4 | 9,503.1 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 8,158.6 | 9,904.9 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 6,554.7 | 7,622.3 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 7,194.7 | 8,589.7 | reference |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 7,538.3 | 9,573.1 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 4,526.5 | no pair |
| 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 |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 7,945.6 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce RTX 4070 Ti SUPER | B · GeForce RTX 4080 SUPER | Difference |
|---|---|---|---|
| Chip | |||
| Architecture | Ada Lovelace | Ada Lovelace | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 8,448 (CUDA cores) | 10,240 (CUDA cores) | B: 1,792 more |
| Clocks | |||
| Base clock | 2,340 MHz | 2,290 MHz | A: 50 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 2,610 MHz | 2,550 MHz | A: 60 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. | 285 W (TGP) | 320 W (TGP) | B: 35 W higher |
| Recommended PSU | 700 W | 750 W | B: 50 W higher |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | no data | 304 mm | no data for A |
| Thickness (slots) | no data | 3 | no data for A |
| Power connectors (reference) | no data | 3x 8-pin (adapter) or 450+ W PCIe Gen 5 — FE | no data for A |
Chip
Architecture
AAda Lovelace
BAda Lovelace
equalShader units
A8,448 (CUDA cores)
B10,240 (CUDA cores)
B: 1,792 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A2,340 MHz
B2,290 MHz
A: 50 MHz moreBoost clock
A2,610 MHz
B2,550 MHz
A: 60 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
A285 W (TGP)
B320 W (TGP)
B: 35 W higherTGP (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
A700 W
B750 W
B: 50 W higherLength (reference / Founders Edition)
Ano data
B304 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
B3x 8-pin (adapter) or 450+ W PCIe Gen 5 — 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
How much video memory do NVIDIA GeForce RTX 4070 Ti SUPER and NVIDIA GeForce RTX 4080 SUPER have?
NVIDIA GeForce RTX 4070 Ti SUPER: 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 4070 Ti SUPER, 700 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 4070 Ti SUPER or NVIDIA GeForce RTX 4080 SUPER?
NVIDIA GeForce RTX 4080 SUPER 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 Ti SUPER, 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 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 3.6.0, benchmark Blender Benchmark 4.0.0, 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.