GeForce RTX 2080 vs GeForce RTX 2080 SUPER: specs and benchmark comparison
Short verdict
NVIDIA GeForce RTX 2080 SUPER 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 +8.7%NVIDIA GeForce RTX 2080 SUPER leads in this scenario (up to 8.7% 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 2080 is better1
Board power 35 W lower215 W (TDP) vs 250 W (TDP)
Where GeForce RTX 2080 SUPER is better7
Blender Benchmark 2.90 5.3% lower90 s vs 95 s
Blender Benchmark 2.90 6.7% lower40 s vs 42 s
Blender Benchmark 2.90 8.7% lower81 s vs 88 s
Blender Benchmark 2.90 5.1% lower119 s vs 125 s
Blender Benchmark 2.90 7.1% lower133 s vs 142 s
Shader units 128 more3,072 (CUDA cores) vs 2,944 (CUDA cores)
Memory bandwidth 47.9 GB/s more495.9 GB/s vs 448 GB/s
Benchmarks
Results are compared within one benchmark, one version and the same conditions.
- 0.1% difference, within the threshold
Blender Benchmark 2.93.1
GPU, bmw27 (CUDA) · s, lower is better
GeForce RTX 208046 sGeForce RTX 2080 SUPER46.1 sPosition among tested models (31, CUDA)
A · 46B · 460100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 0.1% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 2080
46 s · community measurement, sample 40 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 40 submissions (6 outliers excluded), interquartile range 45.6–46.47; submissions 2021-07-12 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
46.1 s · community measurement, sample 33 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 33 submissions (3 outliers excluded), interquartile range 45.46–47.66; submissions 2021-07-11 to 2022-02-27; 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.
- 3.8% difference, within the threshold
Blender Benchmark 2.93.1
GPU, bmw27 (OPTIX) · s, lower is better
GeForce RTX 208029.9 sGeForce RTX 2080 SUPER28.8 sPosition among tested models (20, OptiX)
B · 29A · 30050100150Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 3.8% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 2080
29.9 s · community measurement, sample 20 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 20 submissions (4 outliers excluded), interquartile range 29.03–30.16; submissions 2021-07-22 to 2022-02-15; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
28.8 s · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (0 outliers excluded), interquartile range 27.21–29.41; submissions 2021-07-19 to 2022-02-21; OPTIX 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.
- 3.2% difference, within the threshold
Blender Benchmark 2.93.1
GPU, classroom (CUDA) · s, lower is better
GeForce RTX 2080154.1 sGeForce RTX 2080 SUPER149.3 sPosition among tested models (26, CUDA)
B · 149A · 1540200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 3.2% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 2080
154.1 s · community measurement, sample 29 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 29 submissions (6 outliers excluded), interquartile range 152.69–157.19; submissions 2021-07-12 to 2022-03-01; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
149.3 s · community measurement, sample 22 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 22 submissions (1 outliers excluded), interquartile range 148.22–154.89; submissions 2021-07-11 to 2022-02-21; 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 5.3%
Blender Benchmark 2.90
GPU, classroom (OPTIX) · s, lower is better
GeForce RTX 208095 sGeForce RTX 2080 SUPER90.2 sPosition among tested models (15, OptiX)
B · 90A · 950100200300400Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 SUPER is ahead by 5.3% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080
95 s · community measurement, sample 31 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 31 submissions (6 outliers excluded), interquartile range 92.63–96.53; submissions 2020-09-03 to 2021-01-31; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
90.2 s · community measurement, sample 81 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 81 submissions (10 outliers excluded), interquartile range 89.4–91.43; submissions 2020-09-02 to 2021-01-31; OPTIX 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.
- 0.2% difference, within the threshold
Blender Benchmark 2.90
GPU, fishy_cat (CUDA) · s, lower is better
GeForce RTX 208099.6 sGeForce RTX 2080 SUPER99.8 sPosition among tested models (22, CUDA)
A · 100B · 1000200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 0.2% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 2080
99.6 s · community measurement, sample 61 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 61 submissions (11 outliers excluded), interquartile range 98.68–101.67; submissions 2020-09-03 to 2021-01-28; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
99.8 s · community measurement, sample 121 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 121 submissions (25 outliers excluded), interquartile range 97.95–101.06; submissions 2020-09-02 to 2021-02-01; 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 6.7%
Blender Benchmark 2.90
GPU, fishy_cat (OPTIX) · s, lower is better
GeForce RTX 208042.3 sGeForce RTX 2080 SUPER39.7 sPosition among tested models (13, OptiX)
B · 40A · 420100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 SUPER is ahead by 6.7% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080
42.3 s · community measurement, sample 28 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 28 submissions (6 outliers excluded), interquartile range 41.25–43.06; submissions 2020-09-03 to 2021-01-31; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
39.7 s · community measurement, sample 61 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 61 submissions (11 outliers excluded), interquartile range 39.27–40.2; submissions 2020-09-02 to 2021-01-31; OPTIX 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.
- 1.2% difference, within the threshold
Blender Benchmark 2.90
GPU, koro (CUDA) · s, lower is better
GeForce RTX 2080165.2 sGeForce RTX 2080 SUPER163.3 sPosition among tested models (22, CUDA)
B · 163A · 1650200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 1.2% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 2080
165.2 s · community measurement, sample 60 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 60 submissions (8 outliers excluded), interquartile range 163.43–169.04; submissions 2020-09-03 to 2021-01-28; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
163.3 s · community measurement, sample 112 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 112 submissions (21 outliers excluded), interquartile range 161.87–166.92; submissions 2020-09-02 to 2021-02-01; 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 8.7%
Blender Benchmark 2.90
GPU, koro (OPTIX) · s, lower is better
GeForce RTX 208087.6 sGeForce RTX 2080 SUPER80.5 sPosition among tested models (13, OptiX)
B · 81A · 880100200300Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 SUPER is ahead by 8.7% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080
87.6 s · community measurement, sample 31 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 31 submissions (3 outliers excluded), interquartile range 84.82–90.74; submissions 2020-09-03 to 2021-01-31; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
80.5 s · community measurement, sample 66 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 66 submissions (11 outliers excluded), interquartile range 80.23–81.66; submissions 2020-09-02 to 2021-01-31; OPTIX 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.
- 1% difference, within the threshold
Blender Benchmark 2.90
GPU, pavillon_barcelona (CUDA) · s, lower is better
GeForce RTX 2080305 sGeForce RTX 2080 SUPER301.9 sPosition among tested models (23, CUDA)
B · 302A · 30505001,0001,500Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 1% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 2080
305 s · community measurement, sample 61 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 61 submissions (9 outliers excluded), interquartile range 301.83–312.43; submissions 2020-09-03 to 2021-01-28; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
301.9 s · community measurement, sample 117 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 117 submissions (17 outliers excluded), interquartile range 298.38–309.39; submissions 2020-09-02 to 2021-02-01; 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 5.1%
Blender Benchmark 2.90
GPU, pavillon_barcelona (OPTIX) · s, lower is better
GeForce RTX 2080124.8 sGeForce RTX 2080 SUPER118.7 sPosition among tested models (13, OptiX)
B · 119A · 1250200400600Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 SUPER is ahead by 5.1% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080
124.8 s · community measurement, sample 32 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 32 submissions (2 outliers excluded), interquartile range 122.08–129.2; submissions 2020-09-03 to 2021-01-31; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
118.7 s · community measurement, sample 70 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 70 submissions (13 outliers excluded), interquartile range 117.98–120.42; submissions 2020-09-02 to 2021-01-31; OPTIX 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.
- 0.6% difference, within the threshold
Blender Benchmark 2.90
GPU, victor (CUDA) · s, lower is better
GeForce RTX 2080374.1 sGeForce RTX 2080 SUPER371.7 sPosition among tested models (20, CUDA)
B · 372A · 37405001,0001,500Each dot is one model’s median in this benchmark. The scale starts at zero, s. The 0.6% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 2080
374.1 s · community measurement, sample 57 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 57 submissions (9 outliers excluded), interquartile range 367.55–381.67; submissions 2020-09-03 to 2021-01-28; CUDA backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
371.7 s · community measurement, sample 111 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 111 submissions (18 outliers excluded), interquartile range 366.17–380.44; submissions 2020-09-02 to 2021-02-01; 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 7.1%
Blender Benchmark 2.90
GPU, victor (OPTIX) · s, lower is better
GeForce RTX 2080142.2 sGeForce RTX 2080 SUPER132.8 sPosition among tested models (13, OptiX)
B · 133A · 1420200400600800Each dot is one model’s median in this benchmark. The scale starts at zero, s. NVIDIA GeForce RTX 2080 SUPER is ahead by 7.1% in this benchmark.
About the measurement and source
- A · NVIDIA GeForce RTX 2080
142.2 s · community measurement, sample 25 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 25 submissions (6 outliers excluded), interquartile range 138.57–145.08; submissions 2020-09-03 to 2021-01-31; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
132.8 s · community measurement, sample 81 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 81 submissions (16 outliers excluded), interquartile range 132.15–134.59; submissions 2020-09-02 to 2021-01-31; OPTIX 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.
- 0.5% difference, within the threshold
Blender Benchmark 4.5.0
GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) · samples/min, higher is better
GeForce RTX 20802,281.6 samples/minGeForce RTX 2080 SUPER2,292.6 samples/minPosition among tested models (67, OptiX)
A · 2,282B · 2,29305,00010,00015,000Each dot is one model’s median in this benchmark. The scale starts at zero, samples/min. The 0.5% difference is below the noticeable threshold (5%).
About the measurement and source
- A · NVIDIA GeForce RTX 2080
2,281.6 samples/min · community measurement, sample 36 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 36 submissions (5 outliers excluded), interquartile range 2232.27–2305.83; submissions 2025-08-02 to 2026-03-01; OPTIX backend. Snapshot 2026-11-14.
- B · NVIDIA GeForce RTX 2080 SUPER
2,292.6 samples/min · community measurement, sample 40 · November 14, 2026
Blender Open Data (Blender Foundation)
Median of 40 submissions (3 outliers excluded), interquartile range 2221.12–2330.97; submissions 2025-07-24 to 2026-09-26; 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.
Other comparable benchmarks (37)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81aGPU, bmw27 (CUDA) | 49.7 | 49.9 | A +0.4% |
| Blender Benchmark 2.82GPU, bmw27 (CUDA) | 51.5 | 50.6 | B +1.8% |
| Blender Benchmark 2.83GPU, bmw27 (CUDA) | 51.1 | 50.7 | B +0.8% |
| Blender Benchmark 2.90GPU, bmw27 (CUDA) | 56 | 55.6 | B +0.7% |
| Blender Benchmark 2.82GPU, bmw27 (OPTIX) | 27.3 | 25.4 | B +7.2% |
| Blender Benchmark 2.83GPU, bmw27 (OPTIX) | 26.1 | 25.2 | B +3.8% |
| Blender Benchmark 2.90GPU, bmw27 (OPTIX) | 25.7 | 25.1 | B +2.2% |
| Blender Benchmark 2.81aGPU, classroom (CUDA) | 164.6 | 163.2 | B +0.9% |
| Blender Benchmark 2.82GPU, classroom (CUDA) | 163.6 | 158.6 | B +3.1% |
| Blender Benchmark 2.83GPU, classroom (CUDA) | 163.6 | 159.1 | B +2.9% |
| Blender Benchmark 2.90GPU, classroom (CUDA) | 167.1 | 163.3 | B +2.3% |
| Blender Benchmark 2.82GPU, classroom (OPTIX) | 95.3 | 90.8 | B +5% |
| Blender Benchmark 2.81aGPU, fishy_cat (CUDA) | 88.3 | 88 | B +0.3% |
| Blender Benchmark 2.82GPU, fishy_cat (CUDA) | 91.5 | 90.8 | B +0.8% |
| Blender Benchmark 2.83GPU, fishy_cat (CUDA) | 93 | 92.8 | B +0.2% |
| Blender Benchmark 2.82GPU, fishy_cat (OPTIX) | 42.2 | 39.6 | B +6.4% |
| Blender Benchmark 2.81aGPU, koro (CUDA) | 153.1 | 150.6 | B +1.7% |
| Blender Benchmark 2.82GPU, koro (CUDA) | 152.1 | 149.5 | B +1.7% |
| Blender Benchmark 2.83GPU, koro (CUDA) | 159 | 156.7 | B +1.4% |
| Blender Benchmark 2.82GPU, koro (OPTIX) | 72.8 | 67.7 | B +7.6% |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (CUDA) | 287 | 283.9 | B +1.1% |
| Blender Benchmark 2.82GPU, pavillon_barcelona (CUDA) | 291.2 | 284.6 | B +2.3% |
| Blender Benchmark 2.83GPU, pavillon_barcelona (CUDA) | 288.2 | 283.5 | B +1.7% |
| Blender Benchmark 2.82GPU, pavillon_barcelona (OPTIX) | 129.4 | 123.3 | B +4.9% |
| Blender Benchmark 2.81aGPU, victor (CUDA) | 379.7 | 380.6 | A +0.2% |
| Blender Benchmark 2.82GPU, victor (CUDA) | 373.7 | 372 | B +0.5% |
| Blender Benchmark 2.83GPU, victor (CUDA) | 374.9 | 376.7 | A +0.5% |
| Blender Benchmark 2.82GPU, victor (OPTIX) | 151 | 141.5 | B +6.8% |
| Blender Benchmark 4.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,237.5 | 2,234.5 | A +0.1% |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,369.8 | 2,431.9 | B +2.6% |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,445 | 2,485.1 | B +1.6% |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,422.1 | 2,462.5 | B +1.7% |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,594.9 | 2,644.5 | B +1.9% |
| Blender Benchmark 3.6.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,549.7 | 2,634.8 | B +3.3% |
| Blender Benchmark 4.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,266.7 | 2,282.1 | B +0.7% |
| Blender Benchmark 4.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,237 | 2,327.6 | B +4.1% |
| Blender Benchmark 4.3.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,213 | 2,253.2 | B +1.8% |
Each benchmark version has its own scale: numbers are compared only within a row.
Reference results (74)
| Benchmark | A | B | Difference |
|---|---|---|---|
| Blender Benchmark 2.81GPU, barbershop_interior (CUDA) | 543.8 | 518.7 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (CUDA) | 529.4 | 522.6 | reference |
| Blender Benchmark 2.81GPU, barbershop_interior (OPTIX) | 931 | 917.2 | reference |
| Blender Benchmark 2.81aGPU, barbershop_interior (OPTIX) | 918.1 | 885.7 | reference |
| Blender Benchmark 2.81GPU, bmw27 (CUDA) | 50.3 | 50.7 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (CUDA) | 51.5 | 51.7 | reference |
| Blender Benchmark 2.92GPU, bmw27 (CUDA) | 53.3 | 53.2 | reference |
| Blender Benchmark 2.81GPU, bmw27 (OPTIX) | 27.6 | 28.1 | reference |
| Blender Benchmark 2.81aGPU, bmw27 (OPTIX) | 27.1 | 25.4 | reference |
| Blender Benchmark 2.91.2GPU, bmw27 (OPTIX) | 25.6 | 25.5 | reference |
| Blender Benchmark 2.92GPU, bmw27 (OPTIX) | 26.7 | 26.1 | reference |
| Blender Benchmark 2.81GPU, classroom (CUDA) | 167.7 | 160.8 | reference |
| Blender Benchmark 2.91.2GPU, classroom (CUDA) | 171.2 | 165.6 | reference |
| Blender Benchmark 2.92GPU, classroom (CUDA) | 175.2 | 166.3 | reference |
| Blender Benchmark 2.81GPU, classroom (OPTIX) | 96.5 | 96.2 | reference |
| Blender Benchmark 2.81aGPU, classroom (OPTIX) | 94.5 | 91.2 | reference |
| Blender Benchmark 2.83GPU, classroom (OPTIX) | 94.5 | 90.1 | reference |
| Blender Benchmark 2.91.2GPU, classroom (OPTIX) | 99.3 | 91.1 | reference |
| Blender Benchmark 2.92GPU, classroom (OPTIX) | 100 | 94 | reference |
| Blender Benchmark 2.93.1GPU, classroom (OPTIX) | 98.5 | 95.3 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (CUDA) | 88.5 | 87 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (CUDA) | 86.8 | 89.9 | reference |
| Blender Benchmark 2.92GPU, fishy_cat (CUDA) | 97.3 | 96.9 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (CUDA) | 90.7 | 90.9 | reference |
| Blender Benchmark 2.81GPU, fishy_cat (OPTIX) | 40.8 | 40.4 | reference |
| Blender Benchmark 2.81aGPU, fishy_cat (OPTIX) | 40.1 | 38.5 | reference |
| Blender Benchmark 2.83GPU, fishy_cat (OPTIX) | 41.1 | 38.8 | reference |
| Blender Benchmark 2.91.2GPU, fishy_cat (OPTIX) | 42.3 | — | no pair |
| Blender Benchmark 2.92GPU, fishy_cat (OPTIX) | 48.1 | 44.7 | reference |
| Blender Benchmark 2.93.1GPU, fishy_cat (OPTIX) | 47.1 | 44.7 | reference |
| Blender Benchmark 2.81GPU, koro (CUDA) | 153.2 | 149.8 | reference |
| Blender Benchmark 2.91.2GPU, koro (CUDA) | 152.1 | 150.6 | reference |
| Blender Benchmark 2.92GPU, koro (CUDA) | 158.9 | 155.3 | reference |
| Blender Benchmark 2.93.1GPU, koro (CUDA) | 147.6 | 147.3 | reference |
| Blender Benchmark 2.81GPU, koro (OPTIX) | 73.2 | 71.4 | reference |
| Blender Benchmark 2.81aGPU, koro (OPTIX) | 73.6 | 68.3 | reference |
| Blender Benchmark 2.83GPU, koro (OPTIX) | 72.2 | 67 | reference |
| Blender Benchmark 2.91.2GPU, koro (OPTIX) | 89.1 | — | no pair |
| Blender Benchmark 2.92GPU, koro (OPTIX) | 156 | 139.5 | reference |
| Blender Benchmark 2.93.1GPU, koro (OPTIX) | 92.4 | 86 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (CUDA) | 290.3 | 282.8 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (CUDA) | 278.3 | 277.9 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (CUDA) | 285.9 | 279 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (CUDA) | 257.8 | 253.5 | reference |
| Blender Benchmark 2.81GPU, pavillon_barcelona (OPTIX) | 129.3 | 129.1 | reference |
| Blender Benchmark 2.81aGPU, pavillon_barcelona (OPTIX) | 129.6 | 119.3 | reference |
| Blender Benchmark 2.83GPU, pavillon_barcelona (OPTIX) | 125.2 | 120.5 | reference |
| Blender Benchmark 2.91.2GPU, pavillon_barcelona (OPTIX) | 125.1 | 120.9 | reference |
| Blender Benchmark 2.92GPU, pavillon_barcelona (OPTIX) | 128.9 | 122.6 | reference |
| Blender Benchmark 2.93.1GPU, pavillon_barcelona (OPTIX) | 133 | 127.4 | reference |
| Blender Benchmark 2.81GPU, victor (CUDA) | 380.7 | 378.4 | reference |
| Blender Benchmark 2.91.2GPU, victor (CUDA) | 354.5 | 356.8 | reference |
| Blender Benchmark 2.92GPU, victor (CUDA) | 434.6 | 432 | reference |
| Blender Benchmark 2.93.1GPU, victor (CUDA) | 382 | 385.3 | reference |
| Blender Benchmark 2.81GPU, victor (OPTIX) | 186.1 | 409.6 | reference |
| Blender Benchmark 2.81aGPU, victor (OPTIX) | 211.4 | 194.8 | reference |
| Blender Benchmark 2.83GPU, victor (OPTIX) | 150.3 | 140.8 | reference |
| Blender Benchmark 2.91.2GPU, victor (OPTIX) | 141.9 | 134.1 | reference |
| Blender Benchmark 2.92GPU, victor (OPTIX) | 175.9 | 165 | reference |
| Blender Benchmark 2.93.1GPU, victor (OPTIX) | 164.9 | 159.7 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,664.6 | 1,755.1 | reference |
| Blender Benchmark 3.1.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,360.2 | 1,631.8 | reference |
| Blender Benchmark 3.4.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,678.2 | 1,667.7 | reference |
| Blender Benchmark 3.5.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | 1,729.4 | — | no pair |
| Blender Benchmark 5.1.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,987.6 | 2,171.8 | reference |
| Blender Benchmark 5.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,152.2 | 2,202.7 | reference |
| Blender Benchmark 3.0.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,511.6 | 2,537.9 | reference |
| Blender Benchmark 3.2.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,456.1 | 2,425.3 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,340.5 | 2,430.7 | reference |
| Blender Benchmark 4.4.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,160.8 | 2,571.2 | reference |
| Blender Benchmark 5.0.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 1,796.1 | — | no pair |
| Blender Benchmark 5.1.0GPU, sum of scenes monster + junkshop + classroom (OptiX / HIP / oneAPI / Metal) | 2,167.7 | 2,168.2 | reference |
| Blender Benchmark 3.2.1GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,646.2 | no pair |
| Blender Benchmark 3.3.0GPU, sum of scenes monster + junkshop + classroom (CUDA) | — | 1,769.3 | no pair |
Each benchmark version has its own scale: numbers are compared only within a row.
Specifications
| Specification | A · GeForce RTX 2080 | B · GeForce RTX 2080 SUPER | Difference |
|---|---|---|---|
| Chip | |||
| GPU chip | TU104-400A-A1 | TU104-450-A1 | differs |
| Architecture | Turing | Turing | equal |
| Shader unitsShader unit counts are comparable only within one architecture. | 2,944 (CUDA cores) | 3,072 (CUDA cores) | B: 128 more |
| Clocks | |||
| Base clock | 1,515 MHz | 1,650 MHz | B: 135 MHz more |
| Boost clockClocks of different architectures do not reflect performance directly. For laptop chips, the clock depends on the laptop’s power limit. | 1,710 MHz | 1,815 MHz | B: 105 MHz more |
| Memory | |||
| Video memory | 8 GB | 8 GB | equal |
| Memory type | GDDR6 | GDDR6 | equal |
| Memory bus | 256 bit | 256 bit | equal |
| Memory bandwidthExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently. | 448 GB/s | 495.9 GB/s | B: 47.9 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. | 215 W (TDP) | 250 W (TDP) | B: 35 W higher |
Chip
GPU chip
ATU104-400A-A1
BTU104-450-A1
differsArchitecture
ATuring
BTuring
equalShader units
A2,944 (CUDA cores)
B3,072 (CUDA cores)
B: 128 moreShader unit counts are comparable only within one architecture.
Clocks
Base clock
A1,515 MHz
B1,650 MHz
B: 135 MHz moreBoost clock
A1,710 MHz
B1,815 MHz
B: 105 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
A8 GB
B8 GB
equalMemory type
AGDDR6
BGDDR6
equalMemory bus
A256 bit
B256 bit
equalMemory bandwidth
A448 GB/s
B495.9 GB/s
B: 47.9 GB/s moreExcludes cache (Infinity Cache / L2), which affects effective bandwidth differently.
Power and dimensions
Board power
A215 W (TDP)
B250 W (TDP)
B: 35 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.
“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 2080 and NVIDIA GeForce RTX 2080 SUPER have?
NVIDIA GeForce RTX 2080: 8 GB GDDR6, 256-bit bus. NVIDIA GeForce RTX 2080 SUPER: 8 GB GDDR6, 256-bit bus.
Which is faster: NVIDIA GeForce RTX 2080 or NVIDIA GeForce RTX 2080 SUPER?
NVIDIA GeForce RTX 2080 SUPER 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 RTX 2080, specifications of NVIDIA GeForce RTX 2080 SUPER, 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 2.91.2, 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 3.2.1, benchmark Blender Benchmark 3.3.0, benchmark Blender Benchmark 4.2.0, 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 3.6.0, benchmark Blender Benchmark 4.0.0, benchmark Blender Benchmark 4.1.0, benchmark Blender Benchmark 4.3.0, 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.