GeForce GTX 1650 Ti Laptop GPU vs GeForce GTX 960: specs and benchmark comparison
Short verdict
NVIDIA GeForce GTX 1650 Ti 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
A +55.3%NVIDIA GeForce GTX 1650 Ti Laptop GPU leads in this scenario (up to 55.3% 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 1650 Ti Laptop GPU is better4
Blender Benchmark 2.90 55.3% lower159 s vs 248 s
Video memory 2 GB more4 GB vs 2 GB
Memory bandwidth 79.8 GB/s more192 GB/s vs 112.2 GB/s
Board power 65 W lower55 W (TDP) vs 120 W (TDP)
Where GeForce GTX 960 is better0
No advantages found in our data.
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 55.3%
Blender Benchmark 2.90
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1650 Ti Laptop GPU159.5 sGeForce GTX 960247.7 sPosition among tested models (27, CUDA)
A · 159B · 2480100200300400Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1650 Ti Laptop GPU is ahead by 55.3% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1650 Ti Laptop GPU
159.5 s · community measurement, sample 20 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 20 submissions (2 outliers excluded), interquartile range 155.16–160.43; submissions 2020-09-04 to 2021-04-28; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce GTX 960
247.7 s · community measurement, sample 21 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 21 submissions (2 outliers excluded), interquartile range 242.66–252.6; submissions 2020-09-04 to 2021-01-31; 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.
Reference results (81)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 402.6 | 246.4 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 142.7 | 259.4 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 157.1 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 150.5 | 319.1 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 133.3 | 195.1 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 117.9 | 325.3 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 133.1 | 290.1 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 118.7 | 345.3 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 120 | 355 | reference |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 1,373.8 | 829.6 | reference |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 503.5 | 819.8 | reference |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 535.6 | 829.3 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 683.3 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 534.4 | 824.5 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 467.7 | 685.5 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 679 | 894.6 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 528.5 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 720.7 | 515.7 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 361.3 | 515.4 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 297.1 | 486.6 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 309.4 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 271.5 | 627.9 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 279.8 | 585.2 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 232.8 | 567.7 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 233.6 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 1,126.9 | 1,293.3 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 469.2 | 1,344.1 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 474 | 937.6 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 492.8 | — | no pair |
| Blender Benchmark 2.92GPU, koro (CUDA) | 440.1 | 1,262.2 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 404.1 | 1,347.2 | reference |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 2,287.3 | 1,315.1 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 868.1 | 1,354.4 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 936.4 | 1,294.8 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 1,004.9 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 864.1 | 1,630.5 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 780.2 | 1,131 | reference |
| Blender Benchmark 2.82GPU, victor (CUDA) | 5,168.6 | — | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | 1,899.9 | 5,823.8 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 1,882.5 | 5,116.6 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 2,078.8 | — | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | 2,216.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 1,964.2 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 510.1 | 245.5 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 553.2 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 600.2 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 558.6 | 219 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 554.8 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 483.6 | 186.5 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 466.2 | 163.5 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 447.3 | 144.8 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 399.4 | 123.2 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 533.9 | 179.6 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 466.7 | 180.9 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 511.7 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 533.4 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 438.8 | 146 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 497.5 | 152.8 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 449.4 | 172.9 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 519.3 | 184.1 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 510.3 | 178.6 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 500 | 169.6 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 462.7 | 160.6 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 472 | 184.4 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 471.4 | 144.2 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 467.6 | — | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 425.2 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | — | 250.3 | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | — | 251.5 | no pair |
| Blender Benchmark 2.81GPU, classroom (CUDA) | — | 851.3 | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | — | 825.7 | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | — | 511.3 | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | — | 490.2 | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | — | 1,298.4 | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | — | 671.3 | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | — | 1,385.8 | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | — | 1,311.8 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | — | 1,474.4 | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 153.4 | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 203.2 | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 212.7 | 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 1650 Ti Laptop GPU | B · GeForce GTX 960 | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | no data | GM206-300-A1 | no data for A |
| Architecture | Turing | Maxwell | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,024 (CUDA cores) | 1,024 (CUDA cores) | not directly comparable |
| Clocks | |||
| Base clock | 1,350 MHz | 1,127 MHz | A: 223 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,485 MHz | 1,178 MHz | A: 307 MHz more |
| Memory | |||
| Video memory | 4 GB | 2 GB | A: 2 GB more |
| Memory type | GDDR6 | GDDR5 | differs |
| Memory bus | 128 bit | 128 bit | equal |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 192 GB/s | 112.2 GB/s | A: 79.8 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. | 55 W (TDP) | 120 W (TDP) | B: 65 W higher |
| Interface | PCIe 3.0 x16 | no data | no data for B |
Chip
GPU chip
Ano data
BGM206-300-A1
no data for AArchitecture
ATuring
BMaxwell
differsShader units
A1,024 (CUDA cores)
B1,024 (CUDA cores)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,350 MHz
B1,127 MHz
A: 223 MHz moreBoost clock
A1,485 MHz
B1,178 MHz
A: 307 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
A4 GB
B2 GB
A: 2 GB moreMemory type
AGDDR6
BGDDR5
differsMemory bus
A128 bit
B128 bit
equalMemory bandwidth
A192 GB/s
B112.2 GB/s
A: 79.8 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A55 W (TDP)
B120 W (TDP)
B: 65 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
APCIe 3.0 x16
Bno data
no data for B
“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 1650 Ti Laptop GPU and NVIDIA GeForce GTX 960 have?
NVIDIA GeForce GTX 1650 Ti Laptop GPU: 4 GB GDDR6, 128-bit bus. NVIDIA GeForce GTX 960: 2 GB GDDR5, 128-bit bus.
Which is faster: NVIDIA GeForce GTX 1650 Ti Laptop GPU or NVIDIA GeForce GTX 960?
NVIDIA GeForce GTX 1650 Ti 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 (2)
- Wikipedia (English) — specifications of NVIDIA GeForce GTX 1650 Ti Laptop GPU, specifications of NVIDIA GeForce GTX 960, release date and launch pricechecked November 14, 2026
- Blender Open Data (Blender Foundation) — 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 2.81, benchmark Blender Benchmark 2.81a, 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 4.2.0, benchmark Blender Benchmark 3.1.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 3.0.1, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, 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.