GeForce GTX 1060 vs Radeon RX 580: specs and benchmark comparison
Short verdict
Not enough data for a performance conclusion: the database has no comparable benchmarks for this pair. Below are the key differences in official specifications.
Compare with AIAdvantages
Only measured and rated values: a noticeable benchmark gap and specs where more is better.
Where GeForce GTX 1060 is better0
No advantages found in our data.
Where Radeon RX 580 is better3
Video memory 2 GB more8 GB vs 6 GB
Memory bus 64 bit more256 bit vs 192 bit
Memory bandwidth 64 GB/s more256 GB/s vs 192 GB/s
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
Blender Benchmark 2.81
GPU, barbershop_interior (CUDA) · s, lower is better
GeForce GTX 10601,530.4 sRadeon RX 580no dataNo advantage conclusion: no comparable result for the second model.
About the measurement and source
- A · NVIDIA GeForce GTX 1060
1,530.4 s · community measurement, sample 6 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 6 submissions (0 outliers excluded), interquartile range 1517.28–1561.03; submissions 2020-01-10 to 2020-01-19; CUDA backend. Snapshot 2026-11-14.
- B · AMD Radeon RX 580
- no comparable result
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 (89)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,531.3 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 154.6 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 153.1 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 154.6 | — | no pair |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 157.7 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 167.5 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 156.2 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 155 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 134.1 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 169.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 175.6 | — | no pair |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 166.2 | — | no pair |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 167.8 | — | no pair |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 555.1 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 543.4 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 548.4 | — | no pair |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 561.6 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 563.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 524.1 | — | no pair |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 531.6 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 485.5 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 586.4 | — | no pair |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 623.5 | — | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 314.5 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 308.3 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 316.9 | — | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 321.8 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 322.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 297.5 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 309 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 309.1 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 330 | — | no pair |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 327.5 | — | no pair |
| Blender Benchmark 2.81GPU, koro (CUDA) | 606.7 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 610.4 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 605.8 | — | no pair |
| Blender Benchmark 2.83GPU, koro (CUDA) | 595.9 | — | no pair |
| Blender Benchmark 2.90GPU, koro (CUDA) | 541.2 | — | no pair |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 523.3 | — | no pair |
| Blender Benchmark 2.92GPU, koro (CUDA) | 543.5 | — | no pair |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 544.6 | — | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 379.6 | — | no pair |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 379.3 | — | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 888.4 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 867.8 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 874.2 | — | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 895.9 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 926.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 831 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 880.4 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 816.9 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 891.7 | — | no pair |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 906.3 | — | no pair |
| Blender Benchmark 2.81GPU, victor (CUDA) | 1,781.5 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 1,463.5 | — | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | 1,505.3 | — | no pair |
| Blender Benchmark 2.83GPU, victor (CUDA) | 1,591.5 | — | no pair |
| Blender Benchmark 2.90GPU, victor (CUDA) | 1,238.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 1,298.8 | — | no pair |
| Blender Benchmark 2.92GPU, victor (CUDA) | 2,037.2 | — | no pair |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 1,255.7 | — | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 1,234.9 | — | no pair |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 1,329.1 | — | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 357.7 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 450.2 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 335.1 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 434.4 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 454 | — | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 447 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 428.5 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 413.2 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 352.2 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 345.2 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 349.3 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 289 | — | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 255 | — | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 413.7 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 384.3 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 388.8 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 378.8 | — | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 378.8 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 383 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 390.6 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 376.6 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 362.4 | — | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 358.1 | — | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 347.4 | — | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 356.5 | — | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 310.1 | — | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce GTX 1060 | B · Radeon RX 580 | Difference |
|---|---|---|---|
| Chip | |||
| Architecture | Pascal | GCN 4 | differs |
| Compute unitsSM (NVIDIA), CU (AMD) and Xe-core (Intel) are different units and are not compared numerically across vendors. | no data | 36 CU | no data for A |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,280 (CUDA cores) | 2,304 (Stream processors) | not directly comparable |
| Clocks | |||
| Base clock | 1,506 MHz | 1,257 MHz | A: 249 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,708 MHz | 1,340 MHz | A: 368 MHz more |
| Memory | |||
| Video memory | 6 GB | 8 GB | B: 2 GB more |
| Memory type | GDDR5 | GDDR5 | equal |
| Memory bus | 192 bit | 256 bit | B: 64 bit more |
| Memory speed | no data | 8 Gbps | no data for A |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 192 GB/s | 256 GB/s | B: 64 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 (board power) | 185 W (TBP) | not directly comparable |
| Recommended PSU | 400 W | 500 W | B: 100 W higher |
| Interface | PCIe 3.0 | no data | no data for B |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | 250 mm | no data | no data for B |
| Thickness (slots) | 2 | no data | no data for B |
| Power connectors (reference) | 1x 6-pin | no data | no data for B |
Chip
Architecture
APascal
BGCN 4
differsCompute units
Ano data
B36 CU
no data for ASM (NVIDIA), CU (AMD) and Xe-core (Intel) are different units and are not compared numerically across vendors.
Shader units
A1,280 (CUDA cores)
B2,304 (Stream processors)
not directly comparableShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,506 MHz
B1,257 MHz
A: 249 MHz moreBoost clock
A1,708 MHz
B1,340 MHz
A: 368 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
A6 GB
B8 GB
B: 2 GB moreMemory type
AGDDR5
BGDDR5
equalMemory bus
A192 bit
B256 bit
B: 64 bit moreMemory speed
Ano data
B8 Gbps
no data for AMemory bandwidth
A192 GB/s
B256 GB/s
B: 64 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A120 W (board power)
B185 W (TBP)
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
A400 W
B500 W
B: 100 W higherInterface
APCIe 3.0
Bno data
no data for BLength (reference / Founders Edition)
A250 mm
Bno data
no data for BPartner cards have different dimensions; check the specific SKU.
Thickness (slots)
A2
Bno data
no data for BPower connectors (reference)
A1x 6-pin
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 1060 and AMD Radeon RX 580 have?
NVIDIA GeForce GTX 1060: 6 GB GDDR5, 192-bit bus. AMD Radeon RX 580: 8 GB GDDR5, 256-bit bus.
What power supply does the manufacturer recommend?
For NVIDIA GeForce GTX 1060, 400 W or more; for AMD Radeon RX 580, 500 W or more. This is a recommendation for a typical system; also check the power connectors of the specific card model.
See also
Data sources (4)
- NVIDIA — specifications of NVIDIA GeForce GTX 1060checked November 7, 2026
- AMD — specifications of AMD Radeon RX 580checked 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 3.3.0, benchmark Blender Benchmark 3.4.0, benchmark Blender Benchmark 3.6.0, 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 5.2.0, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 5.1.0checked November 14, 2026
- Wikipedia (English) — release date and launch pricechecked November 14, 2026
How we compare: methodology. Where the data comes from: sources.