GeForce RTX 2070 vs GeForce RTX 2080 SUPER Max-Q: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 2070 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
A +22.5%NVIDIA GeForce RTX 2070 leads in this scenario (up to 22.5% 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 2070 is better2
Blender Benchmark 3.1.0 22.5% faster2,282 samples/min vs 1,864 samples/min
Memory bandwidth 96 GB/s more448 GB/s vs 352 GB/s
Where GeForce RTX 2080 SUPER Max-Q is better2
Shader units 768 more3,072 (CUDA cores) vs 2,304 (CUDA cores)
Board power 95 W lower80 W (TDP) vs 175 W (TDP)
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.
- A ahead by 22.5%
Blender Benchmark 3.1.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 20702,282.5 samples/minGeForce RTX 2080 SUPER Max-Q1,864 samples/minPosition among tested models (38, OptiX)
B · 1,864A · 2,28202,0004,0006,0008,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 2070 is ahead by 22.5% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2070
2,282.5 samples/min · community measurement, sample 120 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 120 submissions (4 outliers excluded), interquartile range 2163.61–2346.25; submissions 2022-03-09 to 2022-06-24; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER Max-Q
1,864 samples/min · community measurement, sample 57 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 57 submissions (5 outliers excluded), interquartile range 1810.47–1909.13; submissions 2022-05-21 to 2022-06-18; 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.
Reference results (132)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 1,086.1 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,072.6 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | 1,907.1 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | 1,721.5 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 64 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 64.9 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 64.2 | 63.2 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 67.6 | 63.7 | reference |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 67.8 | 70.2 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | 70.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 69.8 | 63.5 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 67.8 | 67.5 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 58.8 | 57.6 | reference |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | 30.9 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | 30.5 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | 30.8 | 34.3 | reference |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | 30.6 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 30.5 | 32.3 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 31.6 | 30.7 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 30 | 33.7 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 33 | 37.6 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 309.9 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 312.4 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 297.9 | 186.5 | reference |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 306.1 | 197.2 | reference |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 310.5 | 206.3 | reference |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 340.3 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 321.4 | 203 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 318.4 | 213.4 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 282.3 | 181.5 | reference |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | 159.4 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | 164.5 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | 165 | 109.8 | reference |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | 168.2 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 166.4 | 112.2 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 170.4 | 106.6 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 168.1 | 123.6 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 177.3 | 115.4 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 118.1 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 119.3 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 119.9 | 111.8 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 129.7 | 116.6 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 126.2 | 126.1 | reference |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | 131.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 122.6 | 113.6 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 117.9 | 123.1 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 111.6 | 113.4 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | 55.1 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | 56.3 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | 58.2 | 47.5 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | 59.1 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 54.8 | 50.6 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 61.8 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 62.1 | 59 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 63.4 | 53.5 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 209.7 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 212.8 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 211.6 | 179.7 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 226.1 | 195.5 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 195 | 206 | reference |
| Blender Benchmark 2.90.1GPU, koro (CUDA) | 213.3 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 196.1 | 197.1 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 186.9 | 198.3 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 183.1 | 183 | reference |
| Blender Benchmark 2.81GPU, koro (OPTIX) | 102.4 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | 105.6 | — | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | 103.5 | 77.9 | reference |
| Blender Benchmark 2.83GPU, koro (OPTIX) | 105.7 | — | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 115.2 | 103.5 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 123 | — | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 133.3 | 184.7 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 126.5 | 102 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 458.6 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 457.8 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 456.1 | 347.2 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 461.6 | 353.4 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 472.6 | 381 | reference |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA) | 505.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 445.3 | 360 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 429.3 | 356.1 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 410.2 | 316.7 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | 192.5 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | 194.8 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | 196.2 | 156.1 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | 194.8 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 193.2 | 150.6 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 196.3 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 197.3 | 161.3 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 205.1 | 163.9 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 545.7 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 548.4 | — | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | 532.1 | 455.4 | reference |
| Blender Benchmark 2.83GPU, victor (CUDA) | 560.2 | 466.9 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 532.1 | 465.8 | reference |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | 528.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 554.3 | 463.6 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 574.2 | 555.7 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 518.5 | 469.7 | reference |
| Blender Benchmark 2.81GPU, victor (OPTIX) | 255.7 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | 261.9 | — | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | 258.5 | 160.7 | reference |
| Blender Benchmark 2.83GPU, victor (OPTIX) | 260.1 | — | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 230.6 | 165.3 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 252.2 | — | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 268.9 | 217.2 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 273.2 | 182.7 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,401.3 | 1,311.3 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,404.9 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,347.9 | 1,287.2 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,375.7 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,467.2 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,433.1 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,406.2 | — | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,246.1 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,072.7 | 1,725.6 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,108.7 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,829.9 | — | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,926.6 | — | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,300.4 | 1,987.6 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,178.6 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,266 | 2,047.7 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,245.7 | 2,056 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,322.6 | 1,790.8 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,275.9 | 2,058.6 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,452.8 | 2,047.7 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,450.5 | 2,094.8 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,159.9 | 1,833.3 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,222.6 | 1,847.2 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,085.9 | 1,778.4 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,131.7 | 1,244.9 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,896.1 | — | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,031.8 | — | 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 2070 | B · GeForce RTX 2080 SUPER Max-Q | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU106-400A-A1 | TU104 | differs |
| Architecture | Turing | Turing | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 2,304 (CUDA cores) | 3,072 (CUDA cores) | B: 768 more |
| Clocks | |||
| Base clock | 1,410 MHz | 735 MHz | A: 675 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,620 MHz | 1,080 MHz | A: 540 MHz more |
| 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. | 448 GB/s | 352 GB/s | A: 96 GB/s 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. | 175 W (TDP) | 80 W (TDP) | A: 95 W higher |
| Interface | no data | PCIe 3.0 x16 | no data for A |
Chip
GPU chip
ATU106-400A-A1
BTU104
differsArchitecture
ATuring
BTuring
equalShader units
A2,304 (CUDA cores)
B3,072 (CUDA cores)
B: 768 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,410 MHz
B735 MHz
A: 675 MHz moreBoost clock
A1,620 MHz
B1,080 MHz
A: 540 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
A8 GB
B8 GB
equalMemory type
AGDDR6
BGDDR6
equalMemory bus
A256 bit
B256 bit
equalMemory bandwidth
A448 GB/s
B352 GB/s
A: 96 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A175 W (TDP)
B80 W (TDP)
A: 95 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.
Interface
Ano data
BPCIe 3.0 x16
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 2070 and NVIDIA GeForce RTX 2080 SUPER Max-Q have?
NVIDIA GeForce RTX 2070: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 2080 SUPER Max-Q: 8 GB GDDR6, 256-bit bus.
Which is faster: NVIDIA GeForce RTX 2070 or NVIDIA GeForce RTX 2080 SUPER Max-Q?
NVIDIA GeForce RTX 2070 leads in every scenario with comparable benchmarks: rendering and compute. This does not imply an advantage in tasks without benchmarks.
See also
Data sources (2)
- Wikipedia (English) — specifications of NVIDIA GeForce RTX 2070, specifications of NVIDIA GeForce RTX 2080 SUPER Max-Q, release date and launch pricechecked November 14, 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 2.90.1, 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 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.