GeForce GTX 1060 3 GB vs GeForce GTX 1070: specs and benchmark comparison
Short verdict
NVIDIA GeForce GTX 1070 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 +91.3%NVIDIA GeForce GTX 1070 leads in this scenario (up to 91.3% 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 1060 3 GB is better2
Board power 30 W lower120 W (TDP) vs 150 W (TDP)
Launch price $180 lower$199 vs $379
Where GeForce GTX 1070 is better5
Blender Benchmark 4.5.0 91.3% faster524 samples/min vs 274 samples/min
Shader units 768 more1,920 (CUDA cores) vs 1,152 (CUDA cores)
Video memory 5 GB more8 GB vs 3 GB
Memory bus 64 bit more256 bit vs 192 bit
Memory bandwidth 64.1 GB/s more256.3 GB/s vs 192.2 GB/s
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- B ahead by 91.3%
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce GTX 1060 3 GB273.7 samples/minGeForce GTX 1070523.6 samples/minPosition among tested models (67, OptiX)
A · 274B · 52405,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce GTX 1070 is ahead by 91.3% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1060 3 GB
273.7 samples/min · community measurement, sample 30 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 30 submissions (1 outliers excluded), interquartile range 261.53–284.14; submissions 2025-07-18 to 2026-01-30; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce GTX 1070
523.6 samples/min · community measurement, sample 72 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 72 submissions (6 outliers excluded), interquartile range 509.18–537.94; submissions 2025-07-25 to 2026-03-05; 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 (110)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 160.2 | 104.2 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 139.4 | 90.2 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 179.7 | 109.1 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 183.4 | 108.3 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 516.2 | 351.7 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 479.5 | 317.9 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 647.7 | 386.7 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 316.2 | 208.4 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 325.3 | 211.5 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 528.5 | 362.2 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 553.3 | 369 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 884.3 | 582.9 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 832 | 550.6 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 936.5 | 558.4 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 22,922 | 850.4 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 387.4 | 647.6 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 357.4 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 263.2 | 449.5 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 232.8 | 474.2 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 314.3 | 567.2 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 251.1 | 572.3 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 258.8 | 567.4 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 291.6 | 567.6 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 295.6 | 573.3 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 305.6 | 574 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 299.6 | 540.2 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 331.8 | 548 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 273.3 | 527.1 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 184.6 | — | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 204 | 461.2 | reference |
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | — | 988.7 | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | — | 1,012.7 | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | — | 103.4 | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | — | 104.1 | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | — | 102.9 | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | — | 105.6 | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | — | 112.1 | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | — | 105.4 | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | — | 108.5 | no pair |
| Blender Benchmark 2.90.1GPU, bmw27 (OPTIX) | — | 162.3 | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | — | 107.8 | no pair |
| Blender Benchmark 2.81GPU, classroom (CUDA) | — | 351.4 | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | — | 361.2 | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | — | 353.4 | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | — | 363.8 | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | — | 365.3 | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | — | 329.9 | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | — | 396.6 | no pair |
| Blender Benchmark 2.90.1GPU, classroom (OPTIX) | — | 630.3 | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | — | 389.5 | no pair |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | — | 412.9 | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | — | 205.9 | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | — | 208.3 | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | — | 211.7 | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | — | 213 | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | — | 217.2 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | — | 204 | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | — | 205.8 | no pair |
| Blender Benchmark 2.90.1GPU, fishy_cat (OPTIX) | — | 322.6 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | — | 200.3 | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | — | 204.8 | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | — | 213.2 | no pair |
| Blender Benchmark 2.81GPU, koro (CUDA) | — | 401.4 | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | — | 408.8 | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | — | 401 | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | — | 393.7 | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | — | 359.7 | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | — | 345.7 | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | — | 239.7 | no pair |
| Blender Benchmark 2.90.1GPU, koro (OPTIX) | — | 377.3 | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | — | 228.9 | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | — | 316.7 | no pair |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | — | 247.4 | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | — | 575.7 | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | — | 580.5 | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | — | 575.1 | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | — | 588.2 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | — | 604.4 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | — | 558.8 | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | — | 579 | no pair |
| Blender Benchmark 2.90.1GPU, pavillon_barcelona (OPTIX) | — | 873.9 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | — | 560.3 | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | — | 592.5 | no pair |
| Blender Benchmark 2.81GPU, victor (CUDA) | — | 836.2 | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | — | 906.2 | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | — | 878.9 | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | — | 807.6 | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | — | 800.4 | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | — | 763.4 | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | — | 867.1 | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | — | 778.6 | no pair |
| Blender Benchmark 2.90.1GPU, victor (OPTIX) | — | 1,202.1 | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | — | 752.1 | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | — | 818.9 | no pair |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | — | 848.4 | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 705.2 | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 639.5 | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 642.2 | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 653.8 | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 619.2 | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 631.4 | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 653 | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 610.5 | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 662.3 | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 606.7 | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 628.7 | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 534.5 | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 624.6 | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 567.1 | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | — | 522.5 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GTX 1060 3 GB | B · GeForce GTX 1070 | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | no data | GP104-200-A1 | no data for A |
| Architecture | Pascal | Pascal | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,152 (CUDA cores) | 1,920 (CUDA cores) | B: 768 more |
| Clocks | |||
| Base clock | 1,506 MHz | 1,506 MHz | equal |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,708 MHz | 1,683 MHz | A: 25 MHz more |
| Memory | |||
| Video memory | 3 GB | 8 GB | B: 5 GB more |
| Memory type | GDDR5 | GDDR5 | equal |
| Memory bus | 192 bit | 256 bit | B: 64 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 192.2 GB/s | 256.3 GB/s | B: 64.1 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. | 120 W (TDP) | 150 W (TDP) | B: 30 W higher |
| Interface | PCIe 3.0 x16 | PCIe 3.0 x16 | equal |
Chip
GPU chip
Ano data
BGP104-200-A1
no data for AArchitecture
APascal
BPascal
equalShader units
A1,152 (CUDA cores)
B1,920 (CUDA cores)
B: 768 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,506 MHz
B1,506 MHz
equalBoost clock
A1,708 MHz
B1,683 MHz
A: 25 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
A3 GB
B8 GB
B: 5 GB moreMemory type
AGDDR5
BGDDR5
equalMemory bus
A192 bit
B256 bit
B: 64 bit moreMemory bandwidth
A192.2 GB/s
B256.3 GB/s
B: 64.1 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A120 W (TDP)
B150 W (TDP)
B: 30 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 1060 3 GB and NVIDIA GeForce GTX 1070 have?
NVIDIA GeForce GTX 1060 3 GB: 3 GB GDDR5, 192-bit bus. NVIDIA GeForce GTX 1070: 8 GB GDDR5, 256-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce GTX 1060 3 GB: PCIe 3.0 x16. NVIDIA GeForce GTX 1070: PCIe 3.0 x16.
Which is faster: NVIDIA GeForce GTX 1060 3 GB or NVIDIA GeForce GTX 1070?
NVIDIA GeForce GTX 1070 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 1060 3 GB, specifications of NVIDIA GeForce GTX 1070, 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 2.92, benchmark Blender Benchmark 2.93.1, benchmark Blender Benchmark 2.82, benchmark Blender Benchmark 2.83, benchmark Blender Benchmark 2.90, benchmark Blender Benchmark 2.91.2, benchmark Blender Benchmark 2.90.1, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 5.2.0, 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 3.5.0, 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 5.1.1, 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.