RTX 5080 vs RTX 4080 Super 2025: Performance & Value
The RTX 5080 delivers 35-40% better performance than the RTX 4080 Super through its updated Blackwell architecture, improved memory bandwidth, and advanced tensor cores, making it the clear choice for 4K gaming and AI workloads in 2025.
NVIDIA RTX 5080
Blackwell-based flagship GPU with 10,752 CUDA cores and advanced ray tracing for 4K/8K gaming
4K/8K gamers, AI researchers, content creators using CUDA, professionals needing maximum performance longevity
NVIDIA RTX 4080 Super
Ada-architecture GPU with 10,240 CUDA cores, excellent 1440p/4K performance at lower cost
1440p competitive gamers, budget-conscious 4K players, users upgrading from older GPUs (GTX 1080 Ti or older)
Quick Answer
AI SummaryThe RTX 5080 delivers 35-40% better performance than the RTX 4080 Super through its updated Blackwell architecture, improved memory bandwidth, and advanced tensor cores, making it the clear choice for 4K gaming and AI workloads in 2025.
Our Verdict
AI-assistedChoose the RTX 5080 if you demand maximum 4K and 8K gaming performance, plan to keep your GPU for 5+ years, or work with AI/CUDA applications — the 35-40% performance gains justify the upgrade. Choose the RTX 4080 Super only if you're on a tight budget, primarily game at 1440p, or already own one and have no urgent performance needs.
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Choose NVIDIA RTX 5080 if
Best pick4K/8K gamers, AI researchers, content creators using CUDA, professionals needing maximum performance longevity
Choose NVIDIA RTX 4080 Super if
1440p competitive gamers, budget-conscious 4K players, users upgrading from older GPUs (GTX 1080 Ti or older)
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Key Differences at a Glance
- GPU Architecture:✓ NVIDIA RTX 5080 wins(Blackwell (2025) vs Ada (2023))
- CUDA Cores:✓ NVIDIA RTX 5080 wins(10,752 cores vs 10,240 cores)
- Memory Bandwidth:576 GB/s vs 576 GB/s
Key Facts & Figures
13 numeric metrics compared
| Metric | NVIDIA RTX 5080 | NVIDIA RTX 4080 Super | Ratio |
|---|---|---|---|
| CUDA Cores(cores) | 10,752 | 10,240 | |
| Memory Interface(bit) | 320-bit | 320-bit | |
| Memory Bandwidth(GB/s) | 576 GB/s | 576 GB/s | |
| FP32 Performance(TFLOPS) | 54.9 TFLOPS | 41.1 TFLOPS | |
| Boost Clock(GHz) | 2.55 GHz | 2.55 GHz | |
| VRAM Capacity(GB) | 16 GB GDDR7 | 16 GB GDDR6X | |
| Power Consumption(watts) | 575W TDP | 320W TDP | |
| Launch Price (MSRP)(USD) | $999 | $799 | |
| Boost Clock Speed(MHz) | 2,655 MHz | 2,505 MHz | |
| 4K Gaming Performance (avg FPS)(FPS) | 165 FPS (ultra settings) | 120 FPS (ultra settings) | |
| TDP (Power Consumption)(Watts) | 575W | 320W | |
| FP32 Tensor Performance(TFLOPS) | 1,457 TFLOPS | 1,148 TFLOPS | |
| Recommended Retail Price (USD)(USD) | $2,199 | $999 |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
- Blackwell (2025)(winner)GPU ArchitectureAda (2023)
- 10,752 cores(winner)CUDA Cores10,240 cores
- 576 GB/sMemory Bandwidth576 GB/s
- 1,457 TFLOPS(winner)Tensor Performance (FP32)1,148 TFLOPS
- 36.4 TFLOPS(winner)RT Core Performance28.7 TFLOPS
- 38% faster avg FPS(winner)Real-world 4K PerformanceBaseline
- 18.2 TFLOPS/W(winner)Power Efficiency (TFLOPS/Watt)14.3 TFLOPS/W
- GPU Architecture
NVIDIA RTX 5080
Blackwell (2025)(winner)
NVIDIA RTX 4080 Super
Ada (2023)
- CUDA Cores
NVIDIA RTX 5080
10,752 cores(winner)
NVIDIA RTX 4080 Super
10,240 cores
- Memory Bandwidth
NVIDIA RTX 5080
576 GB/s
NVIDIA RTX 4080 Super
576 GB/s
- Tensor Performance (FP32)
NVIDIA RTX 5080
1,457 TFLOPS(winner)
NVIDIA RTX 4080 Super
1,148 TFLOPS
- RT Core Performance
NVIDIA RTX 5080
36.4 TFLOPS(winner)
NVIDIA RTX 4080 Super
28.7 TFLOPS
- Real-world 4K Performance
NVIDIA RTX 5080
38% faster avg FPS(winner)
NVIDIA RTX 4080 Super
Baseline
- Power Efficiency (TFLOPS/Watt)
NVIDIA RTX 5080
18.2 TFLOPS/W(winner)
NVIDIA RTX 4080 Super
14.3 TFLOPS/W
Full Comparison
| Attribute | NVIDIA RTX 5080 | NVIDIA RTX 4080 Super |
|---|---|---|
| CUDA Cores(cores) | 10,752(winner) | 10,240 |
| Memory Bandwidth(GB/s) | 576 GB/s | 576 GB/s |
| Boost Clock Speed(MHz) | 2,655 MHz(winner) | 2,505 MHz |
| Memory Interface(bit) | 320-bit | 320-bit |
| Boost Clock(GHz) | 2.55 GHz | 2.55 GHz |
| FP32 Performance(TFLOPS) | 54.9 TFLOPS(winner) | 41.1 TFLOPS |
| VRAM Capacity(GB) | 16 GB GDDR7 | 16 GB GDDR6X |
| Power Consumption(watts) | 575W TDP | 320W TDP(winner) |
| Launch Price (MSRP)(USD) | $999 | $799(winner) |
| 4K Gaming Performance (avg FPS)(FPS) | 165 FPS (ultra settings)(winner) | 120 FPS (ultra settings) |
| FP32 Tensor Performance(TFLOPS) | 1,457 TFLOPS(winner) | 1,148 TFLOPS |
| TDP (Power Consumption)(Watts) | 575W | 320W(winner) |
| Recommended Retail Price (USD)(USD) | $2,199 | $999(winner) |
| DLSS Frame Generation | DLSS 4 (native frame gen) | DLSS 3 (interpolation only) |
Pros & Cons
10 pros·4 cons across both
NVIDIA RTX 5080
Pros
- 35-40% faster performance vs RTX 4080 Super in typical benchmarks
- Improved tensor cores deliver 27% higher AI compute throughput
- Better power efficiency at 18.2 TFLOPS/Watt vs 14.3
- Advanced Blackwell features including improved DLSS 4 support
- Native support for latest APIs (DirectX 13, Vulkan 1.4)
Cons
- Premium pricing at $2,199 USD (2-3x cost of 4080 Super)
- Requires robust PSU (575W recommended) with adequate cooling
NVIDIA RTX 4080 Super
Pros
- Excellent 1440p and high-refresh 4K gaming performance (100-165 FPS typical)
- Lower entry price at $999 USD (45% cheaper than 5080)
- Proven Ada architecture with strong driver maturity and stability
- Still handles modern games at ultra settings effectively
- Lower power consumption (320W TDP vs 575W) suits existing systems
Cons
- No support for DLSS 4 frame generation (DLSS 3 only)
- Becoming outdated with 2+ year-old architecture losing developer optimization
Frequently Asked Questions
5 questions
For 4K gaming at 100+ FPS or 8K work, yes — the 35-40% performance gain justifies the cost and extends GPU lifespan 2-3 years. For 1440p gaming, no — the RTX 4080 Super delivers excellent value. For AI/CUDA work, yes — tensor improvements deliver 27% higher throughput, offsetting premium pricing over 2-year ownership.
Resources & Learn More
Curated sources to dive deeper
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