GeForce GTX 1660 SUPER vs GeForce RTX 3050 6 GB Laptop GPU: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 3050 6 GB Laptop GPU 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 +67%NVIDIA GeForce RTX 3050 6 GB Laptop GPU leads in this scenario (up to 67% 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 GTX 1660 SUPER is better1
Memory bus 96 bit more192 bit vs 96 bit
Where GeForce RTX 3050 6 GB Laptop GPU is better1
Blender Benchmark 4.5.0 38.2% faster1,042 samples/min vs 754 samples/min
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 38.2%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GTX 1660 SUPER753.8 samples/minGeForce RTX 3050 6 GB Laptop GPU1,041.8 samples/minPosition among tested models (67, OptiX)
A · 754B · 1,04205,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 3050 6 GB Laptop GPU is ahead by 38.2% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1660 SUPER
753.8 samples/min · community measurement, sample 102 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 102 submissions (10 outliers excluded), interquartile range 722.53–764.51; submissions 2025-07-20 to 2026-04-11; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 3050 6 GB Laptop GPU
1,041.8 samples/min · community measurement, sample 173 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 173 submissions (3 outliers excluded), interquartile range 993.22–1137.41; submissions 2025-07-17 to 2026-03-07; 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) | 754.8 | 1,121.3 | B +48.6% |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 700.4 | 1,130.9 | B +61.5% |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 679.1 | 1,134.1 | B +67% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 831.8 | 1,317.4 | B +58.4% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 751.9 | 1,151.8 | B +53.2% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 768.9 | 1,172.9 | B +52.5% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 750.8 | 1,050.8 | B +40% |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 735.9 | 1,125 | B +52.9% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (96)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 1,123.5 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,096.4 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 88.6 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 88.3 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 89.6 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 90.6 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 94.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 93.6 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 95.3 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 81.6 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 77 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 77.4 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 76.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 79.7 | — | no pair |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 333.9 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 336.8 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 322.1 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 331.8 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 331.9 | — | no pair |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 330.7 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 336.4 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 351.8 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 308.4 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 309.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 307 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 315.3 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 311.6 | — | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 153.9 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 165.4 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 171.9 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 177.3 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 180.5 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 167.5 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 194.3 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 176 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 154.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 153.7 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 173.8 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 152.6 | — | no pair |
| Blender Benchmark 2.81GPU, koro (CUDA) | 287.5 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 287.3 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 287.8 | — | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | 302.8 | — | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | 288.3 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 271.1 | — | no pair |
| Blender Benchmark 2.92GPU, koro (CUDA) | 293 | — | no pair |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 280.1 | — | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 191.4 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 192.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 192.9 | — | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 546.3 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 543 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 546.3 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 543.6 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 564.4 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 527.6 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 555.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 499.7 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 439.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 443.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 431.2 | — | no pair |
| Blender Benchmark 2.81GPU, victor (CUDA) | 704.3 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 702 | — | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | 696.3 | — | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | 714.8 | — | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | 690.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 686.4 | — | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | 845.4 | — | no pair |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 757 | — | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 604.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 605.4 | — | no pair |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 1,041 | — | no pair |
| 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 | — | no pair |
| 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 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 650.6 | 51.1 | 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 | — | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 850.6 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 825.9 | — | no pair |
| 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 | 1,279.9 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 820.6 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 779.4 | 1,328.7 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 818.7 | 1,340.4 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 616.7 | 932.5 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 692 | 1,012.6 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 606.2 | no pair |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 675.7 | no pair |
| Blender Benchmark 5.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 1,185.2 | 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 3050 6 GB Laptop GPU | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU116-300-A1 | no data | no data for B |
| Architecture | Turing | Ampere | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,408 (CUDA cores) | 2,560 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,530 MHz | no data | no data for B |
| 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 | no data | no data for B |
| Memory | |||
| Video memory | 6 GB | 6 GB | equal |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 192 bit | 96 bit | A: 96 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 336 GB/s | no data | no data for B |
| 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) | no data | no data for B |
Chip
GPU chip
ATU116-300-A1
Bno data
no data for BArchitecture
ATuring
BAmpere
differsShader units
A1,408 (CUDA cores)
B2,560 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,530 MHz
Bno data
no data for BBoost clock
A1,785 MHz
Bno data
no data for BClocks 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
B6 GB
equalMemory type
AGDDR6
BGDDR6
equalMemory bus
A192 bit
B96 bit
A: 96 bit moreMemory bandwidth
A336 GB/s
Bno data
no data for BExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A125 W (TDP)
Bno data
no data for BTGP (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.
“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 3050 6 GB Laptop GPU have?
NVIDIA GeForce GTX 1660 SUPER: 6 GB GDDR6, 192-bit bus. NVIDIA GeForce RTX 3050 6 GB Laptop GPU: 6 GB GDDR6, 96-bit bus.
Which is faster: NVIDIA GeForce GTX 1660 SUPER or NVIDIA GeForce RTX 3050 6 GB Laptop GPU?
NVIDIA GeForce RTX 3050 6 GB Laptop GPU 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)
- Wikipedia (English) — specifications of NVIDIA GeForce GTX 1660 SUPER, release date and launch pricechecked November 14, 2026
- NVIDIA — specifications of NVIDIA GeForce RTX 3050 6 GB Laptop GPUchecked November 7, 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 4.5.0, benchmark Blender Benchmark 5.0.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.3.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.