GeForce RTX 2060 vs GeForce RTX 2080 SUPER Max-Q: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 2080 SUPER 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 +8.9%NVIDIA GeForce RTX 2080 SUPER Max-Q leads in this scenario (up to 8.9% 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 RTX 2060 is better0
No advantages found in our data.
Where GeForce RTX 2080 SUPER Max-Q is better4
Blender Benchmark 3.1.0 8.9% faster1,864 samples/min vs 1,712 samples/min
Shader units 1,152 more3,072 (CUDA cores) vs 1,920 (CUDA cores)
Video memory 2 GB more8 GB vs 6 GB
Memory bus 64 bit more256 bit vs 192 bit
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 8.9%
Blender Benchmark 3.1.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 20601,712.1 samples/minGeForce RTX 2080 SUPER Max-Q1,864 samples/minPosition among tested models (38, OptiX)
A · 1,712B · 1,86402,0004,0006,0008,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. NVIDIA GeForce RTX 2080 SUPER Max-Q is ahead by 8.9% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2060
1,712.1 samples/min · community measurement, sample 255 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 255 submissions (12 outliers excluded), interquartile range 1566.86–1816.88; submissions 2022-03-09 to 2022-07-01; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER Max-Q
1,864 samples/min · community measurement, sample 57 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 57 submissions (5 outliers excluded), interquartile range 1810.47–1909.13; submissions 2022-05-21 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 (139)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 1,092.5 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,058.5 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | 1,892.7 | — | no pair |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | 1,781.1 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 75.1 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 74.2 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 74.3 | 63.2 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 74.6 | 63.7 | reference |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 79.9 | 70.2 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (CUDA) | 93.5 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 80.7 | 63.5 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 78.6 | 67.5 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 70 | 57.6 | reference |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | 38.8 | — | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | 37.3 | — | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | 37.2 | 34.3 | reference |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | 35.5 | — | no pair |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 35.4 | 32.3 | reference |
| Blender Benchmark 2.90.1GPU, bmw27 (OPTIX) | 40.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 36.9 | 30.7 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 37.1 | 33.7 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 42.2 | 37.6 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 310.6 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 322.2 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 295.4 | 186.5 | reference |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 297.5 | 197.2 | reference |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 310.5 | 206.3 | reference |
| Blender Benchmark 2.90.1GPU, classroom (CUDA) | 351 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 332.4 | 203 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 327.1 | 213.4 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 297.5 | 181.5 | reference |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | 188.9 | — | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | 163.1 | — | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | 159.5 | 109.8 | reference |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | 142.7 | — | no pair |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 160.3 | 112.2 | reference |
| Blender Benchmark 2.90.1GPU, classroom (OPTIX) | 180.1 | — | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 175.6 | 106.6 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 179.7 | 123.6 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 176.5 | 115.4 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 127.5 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 127.4 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 130.9 | 111.8 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 133.2 | 116.6 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 139.4 | 126.1 | reference |
| Blender Benchmark 2.90.1GPU, fishy_cat (CUDA) | 161.9 | — | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 133.8 | 113.6 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 136.9 | 123.1 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 132.7 | 113.4 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | 70.5 | — | no pair |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | 63.6 | — | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | 63.4 | 47.5 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | 63 | — | no pair |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 63.7 | 50.6 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 66.5 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 74.7 | 59 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 74.6 | 53.5 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 258.2 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 252.8 | — | no pair |
| Blender Benchmark 2.82GPU, koro (CUDA) | 249.4 | 179.7 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 258.3 | 195.5 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 252.5 | 206 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 247.1 | 197.1 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 259.9 | 198.3 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 238.7 | 183 | reference |
| Blender Benchmark 2.81GPU, koro (OPTIX) | 135.3 | — | no pair |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | 117.6 | — | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | 112.9 | 77.9 | reference |
| Blender Benchmark 2.83GPU, koro (OPTIX) | 111 | — | no pair |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 137.4 | 103.5 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 139.8 | — | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 239 | 184.7 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 150.8 | 102 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 488 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 490.1 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 478 | 347.2 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 473.2 | 353.4 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (CUDA) | 494.2 | 381 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 468.9 | 360 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 481.8 | 356.1 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 437.6 | 316.7 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | 226.7 | — | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | 203.4 | — | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | 194.8 | 156.1 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | 183.2 | — | no pair |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 180.9 | 150.6 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 215.6 | — | no pair |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 211.5 | 161.3 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 209.8 | 163.9 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 597.7 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 603.5 | — | no pair |
| Blender Benchmark 2.82GPU, victor (CUDA) | 588.8 | 455.4 | reference |
| Blender Benchmark 2.83GPU, victor (CUDA) | 603.8 | 466.9 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 587.9 | 465.8 | reference |
| Blender Benchmark 2.90.1GPU, victor (CUDA) | 646.8 | — | no pair |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 595.1 | 463.6 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 644.8 | 555.7 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 622.7 | 469.7 | reference |
| Blender Benchmark 2.81GPU, victor (OPTIX) | 364.1 | — | no pair |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | 382.8 | — | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | 265.1 | 160.7 | reference |
| Blender Benchmark 2.83GPU, victor (OPTIX) | 255.7 | — | no pair |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 234.2 | 165.3 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 263.6 | — | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 299.6 | 217.2 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 288.8 | 182.7 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 548 | 1,311.3 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,079.4 | — | no pair |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (CUDA) | 315.1 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 991.6 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 946.5 | 1,287.2 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 983.7 | — | no pair |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,011.9 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,194.1 | — | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,223 | — | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,115.4 | — | no pair |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,087.6 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,136.9 | — | no pair |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 874.8 | — | no pair |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 977.2 | — | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,032.5 | — | no pair |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,524.6 | 1,725.6 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,573.6 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,522.3 | — | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,426.3 | — | no pair |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,886.9 | 1,987.6 | reference |
| Blender Benchmark 3.1.2GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 905 | — | no pair |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,762.8 | 2,047.7 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,743.7 | 2,056 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,759.7 | 1,790.8 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,713.7 | 2,058.6 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,830.5 | 2,047.7 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,856.7 | 2,094.8 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,613.2 | 1,833.3 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,627.8 | 1,847.2 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,529 | 1,778.4 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,522.9 | 1,244.9 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,447.5 | — | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,487.3 | — | 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 RTX 2060 | B · GeForce RTX 2080 SUPER Max-Q | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | no data | TU104 | no data for A |
| Architecture | Turing | Turing | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,920 (CUDA cores) | 3,072 (CUDA cores) | B: 1,152 more |
| Clocks | |||
| Base clock | 1,370 MHz | 735 MHz | A: 635 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,680 MHz | 1,080 MHz | A: 600 MHz more |
| Memory | |||
| Video memory | 6 GB | 8 GB | B: 2 GB more |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 192 bit | 256 bit | B: 64 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | no data | 352 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. | 160 W (board power) | 80 W (TDP) | not directly comparable |
| Recommended PSU | 500 W | no data | no data for B |
| Interface | PCIe 3.0 | PCIe 3.0 x16 | differs |
| Length (reference / Founders Edition)Partner cards have different dimensions; check the specific SKU. | 229 mm | no data | no data for B |
| Thickness (slots) | 2 | no data | no data for B |
| Power connectors (reference) | 1x 8-pin | no data | no data for B |
Chip
GPU chip
Ano data
BTU104
no data for AArchitecture
ATuring
BTuring
equalShader units
A1,920 (CUDA cores)
B3,072 (CUDA cores)
B: 1,152 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,370 MHz
B735 MHz
A: 635 MHz moreBoost clock
A1,680 MHz
B1,080 MHz
A: 600 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
AGDDR6
BGDDR6
equalMemory bus
A192 bit
B256 bit
B: 64 bit moreMemory bandwidth
Ano data
B352 GB/s
no data for AExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A160 W (board power)
B80 W (TDP)
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
A500 W
Bno data
no data for BInterface
APCIe 3.0
BPCIe 3.0 x16
differsLength (reference / Founders Edition)
A229 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 8-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 RTX 2060 and NVIDIA GeForce RTX 2080 SUPER Max-Q have?
NVIDIA GeForce RTX 2060: 6 GB GDDR6, 192-bit bus. NVIDIA GeForce RTX 2080 SUPER Max-Q: 8 GB GDDR6, 256-bit bus.
Which PCIe interface do the cards use?
NVIDIA GeForce RTX 2060: PCIe 3.0. NVIDIA GeForce RTX 2080 SUPER Max-Q: PCIe 3.0 x16.
Which is faster: NVIDIA GeForce RTX 2060 or NVIDIA GeForce RTX 2080 SUPER Max-Q?
NVIDIA GeForce RTX 2080 SUPER 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 (3)
- NVIDIA — specifications of NVIDIA GeForce RTX 2060checked November 7, 2026
- Wikipedia (English) — specifications of NVIDIA GeForce RTX 2080 SUPER 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 2.90.1, 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 3.1.2, 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 4.4.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 4.3.0, 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.