GeForce GTX 1050 Ti vs GeForce GTX 960M: specs and benchmark comparison
Short verdict
NVIDIA GeForce GTX 1050 Ti 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 +79.9%NVIDIA GeForce GTX 1050 Ti leads in this scenario (up to 79.9% 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 1050 Ti is better2
Blender Benchmark 2.82 79.9% lower240 s vs 432 s
Memory bandwidth 32.1 GB/s more112.1 GB/s vs 80 GB/s
Where GeForce GTX 960M is better1
Board power 10 W lower65 W (TDP) vs 75 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 79.9%
Blender Benchmark 2.82
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1050 Ti240.3 sGeForce GTX 960M432.3 sPosition among tested models (23, CUDA)
A · 240B · 4320200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1050 Ti is ahead by 79.9% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1050 Ti
240.3 s · community measurement, sample 51 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 51 submissions (4 outliers excluded), interquartile range 234.79–244.31; submissions 2020-02-20 to 2021-01-21; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce GTX 960M
432.3 s · community measurement, sample 20 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 20 submissions (0 outliers excluded), interquartile range 408.58–434.86; submissions 2020-02-23 to 2020-09-26; 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 (96)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 2,202.7 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,980.4 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 244.6 | 372.6 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 239.3 | 400.6 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 246.7 | 419.4 | reference |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 262.2 | 417.4 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 262.1 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 246.2 | 407 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 210.1 | 322.6 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 282 | 466.1 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 291.2 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 281 | 459.9 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 291 | 468.2 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 740.8 | 3,918.1 | reference |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 714.7 | 1,684.8 | reference |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 724.1 | 1,675.3 | reference |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 736.9 | 1,695.4 | reference |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 750.3 | 1,684.4 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 765.4 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 713.6 | 1,682.3 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 649.9 | 1,425.2 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 889.8 | 1,632.3 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 927.7 | 1,621.6 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 948.2 | 1,913.5 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 499.3 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 484.7 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 496.8 | 833.1 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 504.2 | 868.4 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 513.6 | 800.5 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 493.1 | 799.9 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 497.5 | 864.7 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 528.7 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 566.2 | 981.4 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 613.6 | — | no pair |
| Blender Benchmark 2.81GPU, koro (CUDA) | 863.8 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 830.5 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 830.1 | 1,693.3 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 807.5 | 1,845.7 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 760.2 | 1,471.6 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 760.2 | 1,564.1 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 773.5 | 1,549.5 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 635.9 | — | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 905.2 | 1,600.3 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 1,414.9 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 1,228.3 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 1,252.9 | 2,384.9 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 1,278.6 | 2,436.7 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 1,342.2 | 2,450 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 1,271.1 | 2,375.9 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 1,168.2 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 1,443.6 | 2,517 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 1,483.2 | 2,507.4 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 1,577.2 | — | no pair |
| Blender Benchmark 2.81GPU, victor (CUDA) | 14,116.7 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 9,729.6 | — | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | 7,575 | — | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | 8,373.1 | 9,094.3 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 9,266.8 | 4,574.7 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 7,320 | — | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | 6,327.4 | — | no pair |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 5,837.1 | — | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 3,441.1 | — | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 261.7 | 201.5 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 226.7 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 229 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 218 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 275.9 | 170.1 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 218.6 | 153.2 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 262.3 | 156.8 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 279.4 | 79.4 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 235.7 | 184.8 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 238.8 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 252.3 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 273.9 | 145.6 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 303.3 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 277.8 | 180.4 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 232 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 217.1 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 214.1 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 209.2 | 105.7 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 182.3 | 93.5 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 177.4 | 101.4 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 238 | 148.7 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 224.2 | 136.9 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 226.7 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 223.8 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 218.1 | 124.7 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 213.5 | 107.4 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 204 | 135.5 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 229.8 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 208.3 | 136.5 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 211 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 215.3 | — | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 209 | 110.3 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 179.9 | — | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 194.6 | — | 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 1050 Ti | B · GeForce GTX 960M | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | GP107-400-A1 | GM107 | differs |
| Architecture | Pascal | Maxwell | differs |
| Shader unitsShader unit counts are comparable only within one architecture. | 768 (CUDA cores) | no data | no data for B |
| Clocks | |||
| Base clock | 1,291 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. | 1,392 MHz | no data | no data for B |
| Memory | |||
| Video memory | 4 GB | no data | no data for B |
| Memory type | GDDR5 | GDDR5 | equal |
| Memory bus | 128 bit | 128 bit | equal |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 112.1 GB/s | 80 GB/s | A: 32.1 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. | 75 W (TDP) | 65 W (TDP) | A: 10 W higher |
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 | equal |
Chip
GPU chip
AGP107-400-A1
BGM107
differsArchitecture
APascal
BMaxwell
differsShader units
A768 (CUDA cores)
Bno data
no data for BShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,291 MHz
Bno data
no data for BBoost clock
A1,392 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
A4 GB
Bno data
no data for BMemory type
AGDDR5
BGDDR5
equalMemory bus
A128 bit
B128 bit
equalMemory bandwidth
A112.1 GB/s
B80 GB/s
A: 32.1 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A75 W (TDP)
B65 W (TDP)
A: 10 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
BPCIe 3.0 x16
equal
“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
Which PCIe interface do the cards use?
NVIDIA GeForce GTX 1050 Ti: PCIe 3.0 x16. NVIDIA GeForce GTX 960M: PCIe 3.0 x16.
Which is faster: NVIDIA GeForce GTX 1050 Ti or NVIDIA GeForce GTX 960M?
NVIDIA GeForce GTX 1050 Ti 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 1050 Ti, specifications of NVIDIA GeForce GTX 960M, 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 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 3.5.0, 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 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.