GeForce GTX 1650 SUPER vs GeForce RTX 2070 Max-Q: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 2070 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 +90.6%NVIDIA GeForce RTX 2070 Max-Q leads in this scenario (up to 90.6% 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 1650 SUPER is better0
No advantages found in our data.
Where GeForce RTX 2070 Max-Q is better8
Blender Benchmark 2.90 90.6% lower81 s vs 155 s
Blender Benchmark 2.90 29.8% lower353 s vs 458 s
Blender Benchmark 2.90 56.5% lower549 s vs 859 s
Shader units 1,024 more2,304 (CUDA cores) vs 1,280 (CUDA cores)
Video memory 4 GB more8 GB vs 4 GB
Memory bus 128 bit more256 bit vs 128 bit
Memory bandwidth 256 GB/s more448 GB/s vs 192 GB/s
Board power 20 W lower80 W (TDP) vs 100 W (TDP)
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 90.6%
Blender Benchmark 2.90
GPU, bmw27 (CUDA) · s, lower is better
GeForce GTX 1650 SUPER155.3 sGeForce RTX 2070 Max-Q81.5 sPosition among tested models (27, CUDA)
B · 81A · 1550100200300400Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 Max-Q is ahead by 90.6% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1650 SUPER
155.3 s · community measurement, sample 48 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 48 submissions (3 outliers excluded), interquartile range 151.89–157.88; submissions 2020-09-03 to 2021-06-21; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
81.5 s · community measurement, sample 23 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 23 submissions (1 outliers excluded), interquartile range 78.29–84.81; submissions 2020-09-03 to 2021-01-25; 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.
- B ahead by 29.8%
Blender Benchmark 2.90
GPU, classroom (CUDA) · s, lower is better
GeForce GTX 1650 SUPER457.9 sGeForce RTX 2070 Max-Q352.7 sPosition among tested models (25, CUDA)
B · 353A · 4580200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 Max-Q is ahead by 29.8% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1650 SUPER
457.9 s · community measurement, sample 27 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 27 submissions (1 outliers excluded), interquartile range 449.24–463.14; submissions 2020-09-03 to 2021-01-18; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
352.7 s · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (2 outliers excluded), interquartile range 334.6–365.97; submissions 2020-09-03 to 2021-01-25; 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.
- B ahead by 56.5%
Blender Benchmark 2.90
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce GTX 1650 SUPER859.5 sGeForce RTX 2070 Max-Q549 sPosition among tested models (23, CUDA)
B · 549A · 85905001,0001,500Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2070 Max-Q is ahead by 56.5% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce GTX 1650 SUPER
859.5 s · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (2 outliers excluded), interquartile range 843.62–871.67; submissions 2020-09-03 to 2021-01-18; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2070 Max-Q
549 s · community measurement, sample 20 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 20 submissions (0 outliers excluded), interquartile range 524.36–576.34; submissions 2020-09-03 to 2021-01-25; 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.
Other comparable benchmarks (1)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 142 | 79.3 | B +79% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (120)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 1,216.2 | — | no pair |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 139.2 | 79.6 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 137.7 | 78 | reference |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 141.2 | 82.5 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 151.5 | 83 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 153 | 81.2 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (CUDA) | 126.2 | 72.6 | reference |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 96.4 | 36.3 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 94.6 | 34.7 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 99.4 | 35.9 | reference |
| Blender Benchmark 2.93.1GPU, bmw27 (OPTIX) | 100.5 | 35.5 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 638.3 | 348.3 | reference |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 453.8 | 338.7 | reference |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 438 | 346.2 | reference |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 432.9 | 355.8 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 456.6 | 360 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 458.3 | 357 | reference |
| Blender Benchmark 2.93.1GPU, classroom (CUDA) | 403.9 | 315.1 | reference |
| Blender Benchmark 2.90GPU, classroom (OPTIX) | 340.7 | 187 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 359.3 | 195.5 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 367.2 | 186.8 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 430.9 | 141.7 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 243.1 | 149 | reference |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 256.6 | 149.2 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 260.5 | 161.4 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (CUDA) | 279.8 | 156 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 263.5 | 142.4 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 288.3 | 145.6 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 255.4 | 140.6 | reference |
| Blender Benchmark 2.90GPU, fishy_cat (OPTIX) | 180.9 | 64.5 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 181.9 | 69.9 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 704.3 | 247.9 | reference |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 391.4 | 266.5 | reference |
| Blender Benchmark 2.82GPU, koro (CUDA) | 391.2 | 262.4 | reference |
| Blender Benchmark 2.83GPU, koro (CUDA) | 418.3 | 279.5 | reference |
| Blender Benchmark 2.90GPU, koro (CUDA) | 436.3 | 237.3 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 405.6 | 227 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 418.1 | 226.5 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 386.4 | 229.9 | reference |
| Blender Benchmark 2.90GPU, koro (OPTIX) | 218.9 | 136 | reference |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 239.2 | 234.4 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 217.8 | 142.8 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 1,367.5 | 525.1 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 782.1 | 566.2 | reference |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 791.5 | 543.6 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 795.8 | 552.4 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 803.3 | 514.8 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 830.2 | 486.9 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 703.3 | 491.4 | reference |
| Blender Benchmark 2.90GPU, pavillon_barcelona (OPTIX) | 528.3 | 219.5 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 546.5 | 237.4 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 545.3 | 227.8 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 2,390.4 | 634.2 | reference |
| Blender Benchmark 2.82GPU, victor (CUDA) | 1,927.6 | 647.5 | reference |
| Blender Benchmark 2.83GPU, victor (CUDA) | 2,197.9 | 676.7 | reference |
| Blender Benchmark 2.90GPU, victor (CUDA) | 1,909.2 | 626.2 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 1,483 | 606.3 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 1,510.9 | 669.6 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 2,780.5 | 641.8 | reference |
| Blender Benchmark 2.90GPU, victor (OPTIX) | 759.5 | 258 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 890.6 | 295.1 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 516.2 | — | no pair |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 550.4 | 1,231.3 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 560 | — | no pair |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 622.8 | 607.7 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 604.7 | 1,125.3 | reference |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 556.6 | 1,707.7 | reference |
| Blender Benchmark 4.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 554.8 | 1,549.2 | reference |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 478.2 | 1,575.2 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 462.8 | 1,674.4 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 645.3 | 2,055.3 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 580.4 | 1,903.9 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 542.5 | — | no pair |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 560.6 | 1,680.6 | reference |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 562.8 | 1,919.6 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 452.9 | 1,814.6 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 603.2 | 2,012 | reference |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 577.1 | 2,026.9 | reference |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 526.3 | 1,845.6 | reference |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 564.4 | 1,648.9 | reference |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 540 | 1,744 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 540.9 | 1,550.4 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 472.3 | 341.2 | reference |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 521.1 | — | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | — | 1,145.5 | no pair |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | — | 1,847.6 | no pair |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | — | 38 | no pair |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | — | 35 | no pair |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | — | 35.7 | no pair |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | — | 34.5 | no pair |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | — | 175.9 | no pair |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | — | 176.4 | no pair |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | — | 183.9 | no pair |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | — | 179.1 | no pair |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | — | 184 | no pair |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | — | 64.5 | no pair |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | — | 67.7 | no pair |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | — | 65.2 | no pair |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | — | 63.6 | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | — | 73.2 | no pair |
| Blender Benchmark 2.81GPU, koro (OPTIX) | — | 115.3 | no pair |
| Blender Benchmark 2.82GPU, koro (OPTIX) | — | 121.5 | no pair |
| Blender Benchmark 2.83GPU, koro (OPTIX) | — | 119.9 | no pair |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | — | 130.3 | no pair |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | — | 213.8 | no pair |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | — | 228.4 | no pair |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | — | 222.5 | no pair |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | — | 219.9 | no pair |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | — | 213.8 | no pair |
| Blender Benchmark 2.81aGPU, victor (CUDA) | — | 674.1 | no pair |
| Blender Benchmark 2.81GPU, victor (OPTIX) | — | 284 | no pair |
| Blender Benchmark 2.82GPU, victor (OPTIX) | — | 285.7 | no pair |
| Blender Benchmark 2.83GPU, victor (OPTIX) | — | 282.2 | no pair |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | — | 254.1 | no pair |
| Blender Benchmark 2.92GPU, victor (OPTIX) | — | 320.5 | no pair |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,242.6 | no pair |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,087.8 | no pair |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 803.5 | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 810.8 | no pair |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,040.8 | 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 1650 SUPER | B · GeForce RTX 2070 Max-Q | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU116-250-KA-A1 | TU106 | differs |
| Architecture | Turing | Turing | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 1,280 (CUDA cores) | 2,304 (CUDA cores) | B: 1,024 more |
| Clocks | |||
| Base clock | 1,530 MHz | 885 MHz | A: 645 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,725 MHz | 1,185 MHz | A: 540 MHz more |
| Memory | |||
| Video memory | 4 GB | 8 GB | B: 4 GB more |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 128 bit | 256 bit | B: 128 bit more |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 192 GB/s | 448 GB/s | B: 256 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. | 100 W (TDP) | 80 W (TDP) | A: 20 W higher |
| Interface | no data | PCIe 3.0 x16 | no data for A |
Chip
GPU chip
ATU116-250-KA-A1
BTU106
differsArchitecture
ATuring
BTuring
equalShader units
A1,280 (CUDA cores)
B2,304 (CUDA cores)
B: 1,024 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,530 MHz
B885 MHz
A: 645 MHz moreBoost clock
A1,725 MHz
B1,185 MHz
A: 540 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
B8 GB
B: 4 GB moreMemory type
AGDDR6
BGDDR6
equalMemory bus
A128 bit
B256 bit
B: 128 bit moreMemory bandwidth
A192 GB/s
B448 GB/s
B: 256 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A100 W (TDP)
B80 W (TDP)
A: 20 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
Ano data
BPCIe 3.0 x16
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
How much video memory do NVIDIA GeForce GTX 1650 SUPER and NVIDIA GeForce RTX 2070 Max-Q have?
NVIDIA GeForce GTX 1650 SUPER: 4 GB GDDR6, 128-bit bus. NVIDIA GeForce RTX 2070 Max-Q: 8 GB GDDR6, 256-bit bus.
Which is faster: NVIDIA GeForce GTX 1650 SUPER or NVIDIA GeForce RTX 2070 Max-Q?
NVIDIA GeForce RTX 2070 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 1650 SUPER, specifications of NVIDIA GeForce RTX 2070 Max-Q, release date and launch pricechecked November 14, 2026
- Blender Open Data (Blender Foundation) — benchmark Blender Benchmark 2.81a, benchmark Blender Benchmark 2.81, 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 3.4.0, benchmark Blender Benchmark 3.5.0, benchmark Blender Benchmark 4.4.0, benchmark Blender Benchmark 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.3.0, benchmark Blender Benchmark 5.1.0, benchmark Blender Benchmark 5.2.0, benchmark Blender Benchmark 4.2.0, benchmark Blender Benchmark 4.5.0, benchmark Blender Benchmark 5.1.1, benchmark Blender Benchmark 3.2.0, benchmark Blender Benchmark 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 5.0.0checked November 14, 2026
How we compare: methodology. Where the data comes from: sources.