GeForce GTX 1050 vs GeForce GTX 1060: specs and benchmark comparison
Short verdict
NVIDIA GeForce GTX 1060 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 +100.1%NVIDIA GeForce GTX 1060 leads in this scenario (up to 100.1% 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 is better0
No advantages found in our data.
Where GeForce GTX 1060 is better1
Blender Benchmark 2.82 100.1% lower155 s vs 309 s
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- B ahead by 100.1%
Blender Benchmark 2.82
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1050309.3 sGeForce GTX 1060154.6 sPosition among tested models (23, CUDA)
B · 155A · 3090200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce GTX 1060 is ahead by 100.1% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1050
309.3 s · community measurement, sample 38 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 38 submissions (3 outliers excluded), interquartile range 278.36–313.04; submissions 2020-02-20 to 2021-05-03; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce GTX 1060
154.6 s · community measurement, sample 26 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 26 submissions (4 outliers excluded), interquartile range 152.99–157.63; submissions 2020-02-26 to 2020-06-06; 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 (100)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 2,622.5 | 1,530.4 | reference |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 272.7 | 154.6 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 307.6 | 153.1 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 311.9 | 157.7 | reference |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 336.8 | 167.5 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 321.8 | 156.2 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 315.4 | 155 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 268.6 | 134.1 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 326.9 | 169.2 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 351.1 | 175.6 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 347.1 | 166.2 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 327.6 | 167.8 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 952.6 | 555.1 | reference |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 912.7 | 543.4 | reference |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 922.4 | 548.4 | reference |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 934.3 | 561.6 | reference |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 950.5 | 563.9 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 834 | 524.1 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 908.8 | 531.6 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 826.2 | 485.5 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 1,133.1 | 586.4 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 1,103.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 1,158.6 | 623.5 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 642 | 314.5 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 619.6 | 308.3 | reference |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 636.3 | 316.9 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 638.6 | 321.8 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 654 | 322.9 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 598 | 309 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 614.7 | 309.1 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 651.1 | 330 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 644.2 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 714.7 | 327.5 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 1,086.1 | 606.7 | reference |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 1,051.1 | 610.4 | reference |
| Blender Benchmark 2.82GPU, koro (CUDA) | 1,070 | 605.8 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 991 | 595.9 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 909.7 | 541.2 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 1,038.8 | 543.5 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 938.8 | 544.6 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 825.9 | 379.6 | reference |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 1,123.1 | — | no pair |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 842.9 | 379.3 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 1,647.4 | 888.4 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 1,583.4 | 867.8 | reference |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 1,617.4 | 874.2 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 1,548.7 | 895.9 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 1,540.2 | 926.8 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 1,737.3 | 880.4 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 1,351.8 | 816.9 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 1,866.9 | 891.7 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 1,848.7 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 1,958.1 | 906.3 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 12,147.5 | 1,781.5 | reference |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 11,497.6 | 1,463.5 | reference |
| Blender Benchmark 2.82GPU, victor (CUDA) | 12,940.3 | 1,505.3 | reference |
| Blender Benchmark 2.83GPU, victor (CUDA) | 11,171.9 | 1,591.5 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 31,537.3 | 1,238.9 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 9,443.5 | 2,037.2 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 34,426.4 | 1,255.7 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 4,853.3 | 1,234.9 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 4,712.5 | 1,329.1 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 217.3 | 357.7 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 204.4 | 450.2 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 152.1 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 210.3 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 207.3 | 335.1 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 203.2 | 434.4 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 205 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 212.7 | 454 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 202.6 | — | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 180.7 | 447 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 169.2 | 428.5 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 199.4 | 413.2 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 224.4 | 352.2 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 136.5 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 155.9 | 345.2 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 173.5 | 349.3 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 121.9 | 289 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 142.1 | 255 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 197.8 | 413.7 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 173.8 | 384.3 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 181.2 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 183.4 | 388.8 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 162.7 | 378.8 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 169.3 | 378.8 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 163.1 | 383 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 162.9 | 390.6 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 179.5 | 376.6 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 166.4 | 362.4 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 162.3 | 358.1 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 174.9 | 347.4 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 162 | 356.5 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 130 | — | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 137.1 | 310.1 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | — | 1,531.3 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | — | 297.5 | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | — | 523.3 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | — | 831 | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | — | 1,298.8 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GTX 1050 | B · GeForce GTX 1060 | Difference |
|---|---|---|---|
| Chip | |||
| Architecture | Pascal | Pascal | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | no data | 1,280 (CUDA cores) | no data for A |
| Clocks | |||
| Base clock | no data | 1,506 MHz | no data for A |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | no data | 1,708 MHz | no data for A |
| Memory | |||
| Video memory | no data | 6 GB | no data for A |
| Memory type | GDDR5 | GDDR5 | equal |
| Memory bus | no data | 192 bit | no data for A |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | no data | 192 GB/s | no data for A |
| 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) | 120 W (board power) | not directly comparable |
| Recommended PSU | no data | 400 W | no data for A |
| Interface | PCIe 3.0 x16 | PCIe 3.0 | differs |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | no data | 250 mm | no data for A |
| Thickness (slots) | no data | 2 | no data for A |
| Power connectors (reference) | no data | 1x 6-pin | no data for A |
Chip
Architecture
APascal
BPascal
equalShader units
Ano data
B1,280 (CUDA cores)
no data for AShader unit counts are comparable only within one architecture.
Clocks
Base clock
Ano data
B1,506 MHz
no data for ABoost clock
Ano data
B1,708 MHz
no data for AClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit.
Memory
Video memory
Ano data
B6 GB
no data for AMemory type
AGDDR5
BGDDR5
equalMemory bus
Ano data
B192 bit
no data for AMemory bandwidth
Ano data
B192 GB/s
no data for AExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A75 W (TDP)
B120 W (board power)
not directly comparableTGP (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.
Recommended PSU
Ano data
B400 W
no data for AInterface
APCIe 3.0 x16
BPCIe 3.0
differsLength (reference / Founders Edition)
Ano data
B250 mm
no data for APartner cards have different dimensions; check the specific SKU.
Thickness (slots)
Ano data
B2
no data for APower connectors (reference)
Ano data
B1x 6-pin
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
Which PCIe interface do the cards use?
NVIDIA GeForce GTX 1050: PCIe 3.0 x16. NVIDIA GeForce GTX 1060: PCIe 3.0.
Which is faster: NVIDIA GeForce GTX 1050 or NVIDIA GeForce GTX 1060?
NVIDIA GeForce GTX 1060 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 1050, release date and launch pricechecked November 14, 2026
- NVIDIA — specifications of NVIDIA GeForce GTX 1060checked 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 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 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.1.2, benchmark Blender Benchmark 4.4.0, 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.