GeForce GTX 1050 Ti vs GeForce GTX 1060 Max-Q: specs and benchmark comparison
Short verdict
NVIDIA GeForce GTX 1060 Max-Q 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 +59.2%NVIDIA GeForce GTX 1060 Max-Q leads in this scenario (up to 59.2% 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 better1
Board power 5 W lower75 W (TDP) vs 80 W (TDP)
Where GeForce GTX 1060 Max-Q is better5
Blender Benchmark 3.1.0 59.2% faster357 samples/min vs 224 samples/min
Shader units 512 more1,280 (CUDA cores) vs 768 (CUDA cores)
Video memory 2 GB more6 GB vs 4 GB
Memory bus 64 bit more192 bit vs 128 bit
Memory bandwidth 79.9 GB/s more192 GB/s vs 112.1 GB/s
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 59.2%
Blender Benchmark 3.1.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GTX 1050 Ti224.2 samples/minGeForce GTX 1060 Max-Q357 samples/minPosition among tested models (38, OptiX)
A · 224B · 35702,0004,0006,0008,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce GTX 1060 Max-Q is ahead by 59.2% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1050 Ti
224.2 samples/min · community measurement, sample 28 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 28 submissions (0 outliers excluded), interquartile range 193.5–229.65; submissions 2022-03-09 to 2022-07-04; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce GTX 1060 Max-Q
357 samples/min · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (1 outliers excluded), interquartile range 347.26–363.85; submissions 2022-03-11 to 2022-06-18; 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.
Reference results (96)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 2,202.7 | 1,648.5 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,980.4 | 1,668.3 | reference |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 244.6 | 164.1 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 239.3 | 163.4 | reference |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 240.3 | 165.2 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 246.7 | 167.8 | reference |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 262.2 | 180.4 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 262.1 | 166.1 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 246.2 | 183.1 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 210.1 | 140.7 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 282 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 291.2 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 281 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 291 | — | no pair |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 740.8 | 592 | reference |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 714.7 | 589.4 | reference |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 724.1 | 593.1 | reference |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 736.9 | 603.6 | reference |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 750.3 | 619.9 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 765.4 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 713.6 | 767.9 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 649.9 | 521.1 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 889.8 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 927.7 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 948.2 | — | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 499.3 | 326 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 484.7 | 328.9 | reference |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 496.8 | 337.1 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 504.2 | 342.1 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 513.6 | 344.9 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 493.1 | 560.2 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 497.5 | 325.1 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 528.7 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 566.2 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 613.6 | — | no pair |
| Blender Benchmark 2.81GPU, koro (CUDA) | 863.8 | 648.8 | reference |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 830.5 | 653.2 | reference |
| Blender Benchmark 2.82GPU, koro (CUDA) | 830.1 | 646.8 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 807.5 | 640.5 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 760.2 | 588.4 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 760.2 | 602 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 773.5 | 579.9 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 635.9 | — | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 905.2 | — | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 1,414.9 | 937.7 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 1,228.3 | 927.2 | reference |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 1,252.9 | 934.2 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 1,278.6 | 959.5 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 1,342.2 | 998.7 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 1,271.1 | 979.2 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 1,168.2 | 874.1 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 1,443.6 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 1,483.2 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 1,577.2 | — | no pair |
| Blender Benchmark 2.81GPU, victor (CUDA) | 14,116.7 | 1,530.4 | reference |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 9,729.6 | 1,487.2 | reference |
| Blender Benchmark 2.82GPU, victor (CUDA) | 7,575 | 1,534.9 | reference |
| Blender Benchmark 2.83GPU, victor (CUDA) | 8,373.1 | 1,618.4 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 9,266.8 | 1,503.7 | 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 | 1,323.9 | reference |
| 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 | — | no pair |
| 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 | 438.3 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 275.9 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 218.6 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 262.3 | 422.4 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 279.4 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 235.7 | — | no pair |
| 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 | — | no pair |
| 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 | — | no pair |
| 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 | 333.3 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 209.2 | 326.9 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 182.3 | — | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 177.4 | — | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 238 | — | no pair |
| 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 | 351.1 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 218.1 | 349.9 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 213.5 | 351.7 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 204 | 352.5 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 229.8 | 354.1 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 208.3 | 338.1 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 211 | 339.9 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 215.3 | 341.7 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 209 | 330.3 | 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 1060 Max-Q | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | GP107-400-A1 | no data | no data for B |
| Architecture | Pascal | Pascal | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 768 (CUDA cores) | 1,280 (CUDA cores) | B: 512 more |
| 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 | 1,480 MHz | B: 88 MHz more |
| Memory | |||
| Video memory | 4 GB | 6 GB | B: 2 GB more |
| Memory type | GDDR5 | GDDR5 | equal |
| Memory bus | 128 bit | 192 bit | B: 64 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 112.1 GB/s | 192 GB/s | B: 79.9 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) | 80 W (TDP) | B: 5 W higher |
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 | equal |
Chip
GPU chip
AGP107-400-A1
Bno data
no data for BArchitecture
APascal
BPascal
equalShader units
A768 (CUDA cores)
B1,280 (CUDA cores)
B: 512 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,291 MHz
Bno data
no data for BBoost clock
A1,392 MHz
B1,480 MHz
B: 88 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
B6 GB
B: 2 GB moreMemory type
AGDDR5
BGDDR5
equalMemory bus
A128 bit
B192 bit
B: 64 bit moreMemory bandwidth
A112.1 GB/s
B192 GB/s
B: 79.9 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A75 W (TDP)
B80 W (TDP)
B: 5 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
How much video memory do NVIDIA GeForce GTX 1050 Ti and NVIDIA GeForce GTX 1060 Max-Q have?
NVIDIA GeForce GTX 1050 Ti: 4 GB GDDR5, 128-bit bus. NVIDIA GeForce GTX 1060 Max-Q: 6 GB GDDR5, 192-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce GTX 1050 Ti: PCIe 3.0 x16. NVIDIA GeForce GTX 1060 Max-Q: PCIe 3.0 x16.
Which is faster: NVIDIA GeForce GTX 1050 Ti or NVIDIA GeForce GTX 1060 Max-Q?
NVIDIA GeForce GTX 1060 Max-Q 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 1060 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 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.