GeForce GTX 1660 SUPER vs GeForce RTX 2070 Max-Q: specs and benchmark comparison
Rendering and compute
depends on the taskBenchmark results disagree, so the choice depends on the specific task.
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 GTX 1660 SUPER is better1
Blender Benchmark 2.90 6.3% lower332 s vs 353 s
Where GeForce RTX 2070 Max-Q is better7
Blender Benchmark 2.90 16.3% lower81 s vs 95 s
Blender Benchmark 3.6.0 143.7% faster2,027 samples/min vs 832 samples/min
Shader units 896 more2,304 (CUDA cores) vs 1,408 (CUDA cores)
Video memory 2 GB more8 GB vs 6 GB
Memory bus 64 bit more256 bit vs 192 bit
Memory bandwidth 112 GB/s more448 GB/s vs 336 GB/s
Board power 45 W lower80 W (TDP) vs 125 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.
- B ahead by 16.3%
Blender Benchmark 2.90
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1660 SUPER94.8 sGeForce RTX 2070 Max-Q81.5 sPosition among tested models (27, CUDA)
B · 81A · 950100200300400Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 Max-Q is ahead by 16.3% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
94.8 s · community measurement, sample 161 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 161 submissions (46 outliers excluded), interquartile range 93.93–95.62; submissions 2020-09-02 to 2021-01-30; 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 6.3%
Blender Benchmark 2.90
GPU, classroom (CUDA) · s, lower is better
GeForce GTX 1660 SUPER331.9 sGeForce RTX 2070 Max-Q352.7 sPosition among tested models (25, CUDA)
A · 332B · 3530200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1660 SUPER is ahead by 6.3% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
331.9 s · community measurement, sample 142 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 142 submissions (8 outliers excluded), interquartile range 325.39–339.09; submissions 2020-09-02 to 2021-05-10; 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.
- 2.8% difference, within the threshold
Blender Benchmark 2.90
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce GTX 1660 SUPER564.4 sGeForce RTX 2070 Max-Q549 sPosition among tested models (23, CUDA)
B · 549A · 56405001,0001,500Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 2.8% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
564.4 s · community measurement, sample 99 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 99 submissions (15 outliers excluded), interquartile range 555.7–572.24; 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.
- B ahead by 143.7%
Blender Benchmark 3.6.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GTX 1660 SUPER831.8 samples/minGeForce RTX 2070 Max-Q2,026.9 samples/minPosition among tested models (49, OptiX)
A · 832B · 2,02705,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 2070 Max-Q is ahead by 143.7% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
831.8 samples/min · community measurement, sample 74 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 74 submissions (5 outliers excluded), interquartile range 788.79–857.64; submissions 2023-07-05 to 2025-06-23; 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) | 89.6 | 79.3 | B +12.9% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 825.9 | 1,903.9 | B +130.5% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 779.4 | 1,814.6 | B +132.8% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (124)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 1,123.5 | 1,145.5 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,096.4 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 88.6 | 79.6 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 88.3 | 78 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 90.6 | 82.5 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 93.6 | 83 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 95.3 | 81.2 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 81.6 | 72.6 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 77 | 36.3 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 77.4 | 34.7 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 76.9 | 35.9 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 79.7 | 35.5 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 333.9 | 348.3 | reference |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 336.8 | 338.7 | reference |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 322.1 | 346.2 | reference |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 331.8 | 355.8 | reference |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 330.7 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 336.4 | 360 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 351.8 | 357 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 308.4 | 315.1 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 309.9 | 187 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 307 | 184 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 315.3 | 195.5 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 311.6 | 186.8 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 153.9 | 141.7 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 165.4 | 149 | reference |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 171.9 | 149.2 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 177.3 | 161.4 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 180.5 | 156 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 167.5 | 142.4 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 194.3 | 145.6 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 176 | 140.6 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 154.1 | 64.5 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 153.7 | 63.6 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 173.8 | 73.2 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 152.6 | 69.9 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 287.5 | 247.9 | reference |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 287.3 | 266.5 | reference |
| Blender Benchmark 2.82GPU, koro (CUDA) | 287.8 | 262.4 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 302.8 | 279.5 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 288.3 | 237.3 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 271.1 | 227 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 293 | 226.5 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 280.1 | 229.9 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 191.4 | 136 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 192.1 | 130.3 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 192.9 | 142.8 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 546.3 | 525.1 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 543 | 566.2 | reference |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 546.3 | 543.6 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 543.6 | 552.4 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 527.6 | 514.8 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 555.9 | 486.9 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 499.7 | 491.4 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 439.1 | 219.5 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 443.9 | 213.8 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 431.2 | 227.8 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 704.3 | 634.2 | reference |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 702 | 674.1 | reference |
| Blender Benchmark 2.82GPU, victor (CUDA) | 696.3 | 647.5 | reference |
| Blender Benchmark 2.83GPU, victor (CUDA) | 714.8 | 676.7 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 690.9 | 626.2 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 686.4 | 606.3 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 845.4 | 669.6 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 757 | 641.8 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 604.1 | 258 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 605.4 | 254.1 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 1,041 | 295.1 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 847.7 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 858.5 | 1,231.3 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 851 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 884.3 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 895.9 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 823.1 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 945.9 | 1,242.6 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 650.6 | 1,087.8 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 834.7 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 847.8 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 864.9 | 803.5 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 754.8 | 1,707.7 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 753.8 | 1,549.2 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 700.4 | 1,575.2 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 679.1 | 1,674.4 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 850.6 | 2,055.3 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 807 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 843.2 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 809.1 | 1,680.6 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 820.6 | 1,919.6 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 818.7 | 2,012 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 751.9 | 1,845.6 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 768.9 | 1,648.9 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 750.8 | 1,744 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 735.9 | 1,550.4 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 616.7 | 341.2 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 692 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | — | 1,847.6 | no pair |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | — | 38 | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | — | 35 | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | — | 35.7 | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | — | 34.5 | no pair |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | — | 175.9 | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | — | 176.4 | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | — | 183.9 | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | — | 179.1 | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | — | 64.5 | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | — | 67.7 | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | — | 65.2 | no pair |
| Blender Benchmark 2.81GPU, koro (OPTIX) | — | 115.3 | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | — | 121.5 | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | — | 119.9 | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | — | 234.4 | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | — | 213.8 | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | — | 228.4 | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | — | 222.5 | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | — | 219.9 | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | — | 237.4 | no pair |
| Blender Benchmark 2.81GPU, victor (OPTIX) | — | 284 | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | — | 285.7 | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | — | 282.2 | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | — | 320.5 | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 607.7 | 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 GTX 1660 SUPER | B · GeForce RTX 2070 Max-Q | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU116-300-A1 | TU106 | differs |
| Architecture | Turing | Turing | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,408 (CUDA cores) | 2,304 (CUDA cores) | B: 896 more |
| Clocks | |||
| Base clock | 1,530 MHz | 885 MHz | A: 645 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,785 MHz | 1,185 MHz | A: 600 MHz more |
| Memory | |||
| Video memory | 6 GB | 8 GB | B: 2 GB more |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 192 bit | 256 bit | B: 64 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 336 GB/s | 448 GB/s | B: 112 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. | 125 W (TDP) | 80 W (TDP) | A: 45 W higher |
| Interface | no data | PCIe 3.0 x16 | no data for A |
Chip
GPU chip
ATU116-300-A1
BTU106
differsArchitecture
ATuring
BTuring
equalShader units
A1,408 (CUDA cores)
B2,304 (CUDA cores)
B: 896 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,530 MHz
B885 MHz
A: 645 MHz moreBoost clock
A1,785 MHz
B1,185 MHz
A: 600 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
A6 GB
B8 GB
B: 2 GB moreMemory type
AGDDR6
BGDDR6
equalMemory bus
A192 bit
B256 bit
B: 64 bit moreMemory bandwidth
A336 GB/s
B448 GB/s
B: 112 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A125 W (TDP)
B80 W (TDP)
A: 45 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 GTX 1660 SUPER and NVIDIA GeForce RTX 2070 Max-Q have?
NVIDIA GeForce GTX 1660 SUPER: 6 GB GDDR6, 192-bit bus. NVIDIA GeForce RTX 2070 Max-Q: 8 GB GDDR6, 256-bit bus.
Which is faster: NVIDIA GeForce GTX 1660 SUPER or NVIDIA GeForce RTX 2070 Max-Q?
It depends on the task: rendering and compute: results disagree.
See also
Data sources (2)
- Wikipedia (English) — specifications of NVIDIA GeForce GTX 1660 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 2.91.2, benchmark Blender Benchmark 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 2.90.1, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 5.0.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.