GeForce RTX 4080 Super vs GeForce RTX 5080, AI & Machine Learning Comparison
GeForce RTX 5080 wins 22 of 31 benchmarks, averaging 21.4% faster.
Both cards' numbers are anchored estimates calibrated against our measured cards, pending first-party measurement. Treat small gaps as ties.
What the numbers say
The gap is widest in Z-Image Turbo, where GeForce RTX 5080 leads by 55% (2.3 vs 3.56 images/min); the closest fight is Stable Diffusion XL (6% apart); VRAM decides part of this one: GeForce RTX 4080 Super runs 34 of our 12 AI workloads while the other card runs 22, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | GeForce RTX 4080 Super | GeForce RTX 5080 | Difference |
|---|---|---|---|
| MiniCPM5 2B tok/s | 311.94 | 367.12 | -15% |
| LFM2.5 2.6B tok/s | 308.63 | 377.14 | -18% |
| Granite 4.1 3B tok/s | 227.06 | 253.62 | -10% |
| Nemotron 3 Nano 4B tok/s | 200.69 | 255.18 | -21% |
| Qwen3 4B tok/s | 197.53 | 215.89 | -9% |
| DeepSeek Coder 7B Instruct v1.5 tok/s | 146.98 | 180.65 | -19% |
| Llama 3 8B tok/s | 130.53 | 158.84 | -18% |
| Llama 3.1 8B tok/s | 126.29 | 150.71 | -16% |
| Qwen3 8B tok/s | 126.39 | 153.89 | -18% |
| Nemotron Nano 9B v2 tok/s | 93.43 | 119.94 | -22% |
| Ornith 1.5 9B tok/s | 111.6 | 138.12 | -19% |
| Gemma 4 12B tok/s | 80.57 | 96.61 | -17% |
| Qwen2.5-Coder 14B tok/s | 70.55 | 81.97 | -14% |
| Qwen3 14B tok/s | 72.96 | 87.02 | -16% |
| Gemma 4 26B A4B tok/s | 0 | 0 | n/a |
| Qwen3 30B A3B tok/s | 0 | 0 | n/a |
| Gemma 4 31B tok/s | 0 | 0 | n/a |
| Qwen3 32B tok/s | 0 | 0 | n/a |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion 1.5 images/min | 51.96 | 61.19 | -15% |
| SDXL Turbo images/min | 410.08 | 512.76 | -20% |
| Stable Diffusion XL images/min | 11.54 | 12.24 | -6% |
| Z-Image Turbo images/min | 2.3 | 3.56 | -35% |
| Sana 1.6B images/min | 26.98 | 30.02 | -10% |
| Playground v2.5 images/min | 6.74 | 7.6 | -11% |
| PixArt-Sigma XL images/min | 14.59 | 16.22 | -10% |
| FLUX.1 Kontext dev images/min | 0 | 0 | n/a |
| FLUX.1 dev images/min | 0 | 0 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
| LTX-Video (distilled) frames/s | 2.853 | 4.331 | -34% |
| Wan 2.2 5B (720p) frames/s | 0 | 0 | n/a |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. GeForce RTX 4080 Super is faster on 0 of 1; GeForce RTX 5080 on 1.
| Workflow | GeForce RTX 4080 Super | GeForce RTX 5080 | Difference | Cost per run |
|---|---|---|---|---|
| Full codebase review | 14.2 min | 12.2 min | GeForce RTX 5080 1.16x faster | $0.052 vs $0.045 |
Renting by the hour, GeForce RTX 5080 finishes 1 of 1 cheaper. The quicker card is not automatically the cheaper way to get the work done.
Cost to rent
| Card | Per hour |
|---|---|
| GeForce RTX 4080 Super | $0.222 |
| GeForce RTX 5080 | $0.223 |
GeForce RTX 4080 Super is 1.00x cheaper per hour. Cheapest on-demand rate we see across RunPod and Vast.
Specifications compared
| GeForce RTX 4080 Super | GeForce RTX 5080 | |
|---|---|---|
| VRAM | 16GB | 16GB |
| Transistors | 45,900M | 45,600M |
| Die size | 378.6 mm² | 378 mm² |
| Process node | 4 nm | 4 nm |
| Transistor density | 121.2 M/mm² | 120.6 M/mm² |
| Architecture | Ada Lovelace | Blackwell (GB203) |
| Memory bandwidth | 736 GB/s | 960 GB/s |
| Boost clock | 2,505 MHz | 2,617 MHz |
| TDP | 320 W | 360 W |
| Launch MSRP | $999 | $999 |
| Release | 2024-01-31 | 2025-01-30 |
FAQ
- Which is better for ai & machine learning: GeForce RTX 4080 Super or GeForce RTX 5080?
- GeForce RTX 5080 performs better for ai & machine learning, winning 22 of 31 benchmarks in our suite with an average 21.4% advantage.
- What are the main hardware differences between GeForce RTX 4080 Super and GeForce RTX 5080?
- GeForce RTX 4080 Super has 16GB VRAM and a 320W TDP, while GeForce RTX 5080 has 16GB VRAM and a 360W TDP.
- Does VRAM matter more than speed between GeForce RTX 4080 Super and GeForce RTX 5080?
- For AI, yes, GeForce RTX 4080 Super fits 1 more of our 12 workloads than GeForce RTX 5080. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.
- Where is the biggest performance difference between GeForce RTX 4080 Super and GeForce RTX 5080?
- Z-Image Turbo: GeForce RTX 5080 leads by roughly 55% (2.3 vs 3.56 images/min) in our testing.
GeForce RTX 4080 Super full review · GeForce RTX 5080 full review · All AI & Machine Learning rankings