GeForce RTX 2060 SUPER vs GeForce RTX 2070 Max-Q: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 2060 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
A +27.6%NVIDIA GeForce RTX 2060 SUPER leads in this scenario (up to 27.6% 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 2060 SUPER is better4
Blender Benchmark 2.90 23% lower66 s vs 81 s
Blender Benchmark 2.90 17.3% lower301 s vs 353 s
Blender Benchmark 2.90 19.1% lower461 s vs 549 s
Blender Benchmark 3.6.0 20.9% faster2,450 samples/min vs 2,027 samples/min
Where GeForce RTX 2070 Max-Q is better2
Shader units 128 more2,304 (CUDA cores) vs 2,176 (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 23%
Blender Benchmark 2.90
GPU, bmw27 (CUDA) · s, lower is better
GeForce RTX 2060 SUPER66.3 sGeForce RTX 2070 Max-Q81.5 sPosition among tested models (27, CUDA)
A · 66B · 810100200300400Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 23% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2060 SUPER
66.3 s · community measurement, sample 164 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 164 submissions (14 outliers excluded), interquartile range 65.18–67.48; submissions 2020-09-02 to 2021-03-25; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
81.5 s · community measurement, sample 23 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 23 submissions (1 outliers excluded), interquartile range 78.29–84.81; submissions 2020-09-03 to 2021-01-25; 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.
- A ahead by 17.3%
Blender Benchmark 2.90
GPU, classroom (CUDA) · s, lower is better
GeForce RTX 2060 SUPER300.7 sGeForce RTX 2070 Max-Q352.7 sPosition among tested models (25, CUDA)
A · 301B · 3530200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 17.3% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2060 SUPER
300.7 s · community measurement, sample 127 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 127 submissions (13 outliers excluded), interquartile range 295.53–304.9; submissions 2020-09-02 to 2021-01-30; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
352.7 s · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (2 outliers excluded), interquartile range 334.6–365.97; submissions 2020-09-03 to 2021-01-25; 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.
- A ahead by 19.1%
Blender Benchmark 2.90
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce RTX 2060 SUPER461.2 sGeForce RTX 2070 Max-Q549 sPosition among tested models (23, CUDA)
A · 461B · 54905001,0001,500Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2060 SUPER is ahead by 19.1% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2060 SUPER
461.2 s · community measurement, sample 102 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 102 submissions (14 outliers excluded), interquartile range 452.8–466.95; submissions 2020-09-02 to 2021-01-30; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
549 s · community measurement, sample 20 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 20 submissions (0 outliers excluded), interquartile range 524.36–576.34; submissions 2020-09-03 to 2021-01-25; 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.
- A ahead by 20.9%
Blender Benchmark 3.6.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 2060 SUPER2,450.3 samples/minGeForce RTX 2070 Max-Q2,026.9 samples/minPosition among tested models (49, OptiX)
B · 2,027A · 2,45005,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 2060 SUPER is ahead by 20.9% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2060 SUPER
2,450.3 samples/min · community measurement, sample 170 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 170 submissions (5 outliers excluded), interquartile range 2383.18–2579.16; submissions 2023-06-30 to 2026-03-18; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
2,026.9 samples/min · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (2 outliers excluded), interquartile range 1875.19–2124.65; submissions 2023-07-06 to 2024-03-17; 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 (3)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 63.6 | 79.3 | A +24.7% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,307.1 | 1,903.9 | A +21.2% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,315.7 | 1,814.6 | A +27.6% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (133)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 1,076.9 | 1,145.5 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,070.2 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | 1,716.3 | 1,847.6 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | 1,792.2 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 63.1 | 79.6 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 61.9 | 78 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 65.7 | 82.5 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | 71.5 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 66 | 83 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 69.1 | 81.2 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 57 | 72.6 | reference |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | 26.5 | 38 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | 30.2 | 35 | reference |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | 30.6 | 35.7 | reference |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | 29.6 | 34.5 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 30.6 | 36.3 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (OPTIX) | 31.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 30.7 | 34.7 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 31.4 | 35.9 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 31.9 | 35.5 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 298.5 | 348.3 | reference |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 299.4 | 338.7 | reference |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 292.8 | 346.2 | reference |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 299.2 | 355.8 | reference |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 350.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 305.3 | 360 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 320.8 | 357 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 276.9 | 315.1 | reference |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | 167.9 | 175.9 | reference |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | 161.7 | 176.4 | reference |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | 159.9 | 183.9 | reference |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | 158.6 | 179.1 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 161.8 | 187 | reference |
| Blender Benchmark 2.90.1GPU, classroom (OPTIX) | 169.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 166.7 | 184 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 171.4 | 195.5 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 170.5 | 186.8 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 115.3 | 141.7 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 115.4 | 149 | reference |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 119.7 | 149.2 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 126 | 161.4 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 123.7 | 156 | reference |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | 143.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 113 | 142.4 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 120.2 | 145.6 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 109.5 | 140.6 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | 57.1 | 64.5 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | 56 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | 58.1 | 67.7 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | 56.5 | 65.2 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 55.7 | 64.5 | reference |
| Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX) | 57.3 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 55.8 | 63.6 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 63.3 | 73.2 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 60.8 | 69.9 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 207.7 | 247.9 | reference |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 209.1 | 266.5 | reference |
| Blender Benchmark 2.82GPU, koro (CUDA) | 210.8 | 262.4 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 220.1 | 279.5 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 191.3 | 237.3 | reference |
| Blender Benchmark 2.90.1GPU, koro (CUDA) | 222.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 179.3 | 227 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 188.6 | 226.5 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 180.7 | 229.9 | reference |
| Blender Benchmark 2.81GPU, koro (OPTIX) | 103.4 | 115.3 | reference |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | 110.8 | — | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | 106 | 121.5 | reference |
| Blender Benchmark 2.83GPU, koro (OPTIX) | 101.9 | 119.9 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 118 | 136 | reference |
| Blender Benchmark 2.90.1GPU, koro (OPTIX) | 123.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 119.8 | 130.3 | reference |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 206.2 | 234.4 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 124.3 | 142.8 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 439.5 | 525.1 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 446.9 | 566.2 | reference |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 450.2 | 543.6 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 449.2 | 552.4 | reference |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (CUDA) | 543.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 417 | 514.8 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 430.7 | 486.9 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 394 | 491.4 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | 192.4 | 213.8 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | 189.9 | 228.4 | reference |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | 190.3 | 222.5 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | 183.7 | 219.9 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 189.4 | 219.5 | reference |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX) | 193.6 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 193.2 | 213.8 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 195.3 | 237.4 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 196.7 | 227.8 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 520.3 | 634.2 | reference |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 528.8 | 674.1 | reference |
| Blender Benchmark 2.82GPU, victor (CUDA) | 522.2 | 647.5 | reference |
| Blender Benchmark 2.83GPU, victor (CUDA) | 538.5 | 676.7 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 510.2 | 626.2 | reference |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | 604.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 481.9 | 606.3 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 566.8 | 669.6 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 503.2 | 641.8 | reference |
| Blender Benchmark 2.81GPU, victor (OPTIX) | 260.1 | 284 | reference |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | 260.2 | — | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | 250.5 | 285.7 | reference |
| Blender Benchmark 2.83GPU, victor (OPTIX) | 245.2 | 282.2 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 230.1 | 258 | reference |
| Blender Benchmark 2.90.1GPU, victor (OPTIX) | 244 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 232.2 | 254.1 | reference |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 276.1 | 320.5 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 264.5 | 295.1 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,408 | 1,231.3 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,445.8 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,328.5 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,442.8 | 607.7 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,380.9 | 1,087.8 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,099.4 | 1,707.7 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,067.3 | 1,549.2 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,993.1 | 1,575.2 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,928.2 | 1,674.4 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,487.8 | 2,055.3 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,259.4 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,180.5 | 1,680.6 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,288.4 | 1,919.6 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,378.7 | 2,012 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,138.1 | 1,845.6 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,158.4 | 1,648.9 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,049 | 1,744 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,113.6 | 1,550.4 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,879.9 | 341.2 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,883.9 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,242.6 | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 803.5 | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,125.3 | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 810.8 | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,040.8 | 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 2060 SUPER | B · GeForce RTX 2070 Max-Q | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU106-410-A1 | TU106 | differs |
| Architecture | Turing | Turing | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 2,176 (CUDA cores) | 2,304 (CUDA cores) | B: 128 more |
| Clocks | |||
| Base clock | 1,470 MHz | 885 MHz | A: 585 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,650 MHz | 1,185 MHz | A: 465 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 | 448 GB/s | 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. | 175 W (TDP) | 80 W (TDP) | A: 95 W higher |
| Interface | no data | PCIe 3.0 x16 | no data for A |
Chip
GPU chip
ATU106-410-A1
BTU106
differsArchitecture
ATuring
BTuring
equalShader units
A2,176 (CUDA cores)
B2,304 (CUDA cores)
B: 128 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,470 MHz
B885 MHz
A: 585 MHz moreBoost clock
A1,650 MHz
B1,185 MHz
A: 465 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
B448 GB/s
equalExcludes 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 2060 SUPER and NVIDIA GeForce RTX 2070 Max-Q have?
NVIDIA GeForce RTX 2060 SUPER: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 2070 Max-Q: 8 GB GDDR6, 256-bit bus.
Which is faster: NVIDIA GeForce RTX 2060 SUPER or NVIDIA GeForce RTX 2070 Max-Q?
NVIDIA GeForce RTX 2060 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 (2)
- Wikipedia (English) — specifications of NVIDIA GeForce RTX 2060 SUPER, specifications of NVIDIA GeForce RTX 2070 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 3.1.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.