RTX 5080VSRTX 5090
AI Benchmark Battle 2026
RTX 5080
Blackwell16GB
$999-1100
ผู้บริโภค
High-End
RTX 5090
Blackwell32GB
$1,999-2200
ผู้บริโภค
Flagship
LLM Inference
| โมเดล | RTX 5080 | RTX 5090 | ผู้ชนะ |
|---|---|---|---|
Typhoon2.5-Qwen3-4Bยิ่งสูงยิ่งดี | 1,013tok/s | 1,446tok/s | RTX 5090 |
GPT-OSS-20Bยิ่งสูงยิ่งดี | ไม่สามารถรันได้ | 1,338tok/s | RTX 5090 |
Qwen3-4B-Instruct-FP8ยิ่งสูงยิ่งดี | N/A | N/A | N/A |
Vision-Language
| โมเดล | RTX 5080 | RTX 5090 | ผู้ชนะ |
|---|---|---|---|
Qwen3-VL-4Bยิ่งสูงยิ่งดี | 895tok/s | 1,005tok/s | RTX 5090 |
Qwen3-VL-8Bยิ่งสูงยิ่งดี | 403tok/s | 868tok/s | RTX 5090 |
Typhoon-OCR-3Bยิ่งสูงยิ่งดี | 394tok/s | 1,577tok/s | RTX 5090 |
Image Generation
| โมเดล | RTX 5080 | RTX 5090 | ผู้ชนะ |
|---|---|---|---|
Qwen-Imageยิ่งต่ำยิ่งดี | 106.00sec | 46.00sec | RTX 5090 |
Qwen-Image-Editยิ่งต่ำยิ่งดี | 114.00sec | 50.00sec | RTX 5090 |
Video Generation
| โมเดล | RTX 5080 | RTX 5090 | ผู้ชนะ |
|---|---|---|---|
Wan2.2-5Bยิ่งต่ำยิ่งดี | 712.00sec | 344.00sec | RTX 5090 |
Wan2.2-14Bยิ่งต่ำยิ่งดี | 2067.00sec | 903.00sec | RTX 5090 |
Speech-to-Text
| โมเดล | RTX 5080 | RTX 5090 | ผู้ชนะ |
|---|---|---|---|
Typhoon-ASRยิ่งสูงยิ่งดี | 0.344xx realtime | 0.324xx realtime | RTX 5080 |
วิเคราะห์ผู้ชนะ
เจาะลึกว่าทำไม GPU แต่ละตัวมีประสิทธิภาพต่างกันตามสเปคเทคนิค
สรุปการวิเคราะห์ทางเทคนิค
RTX 5090 wins 9 out of 10 benchmarks, excelling in LLM Inference and Vision-Language. Its Blackwell architecture advantages provides a decisive advantage for AI inference workloads.
ความแตกต่างหลัก
- RTX 5090 has 32GB VRAM for larger models
LLM Inference
RTX 5090 wins in LLM inference because RTX 5090's superior memory bandwidth (1.8TB/s vs 960GB/s) enables faster token generation, and larger VRAM (32GB) allows running bigger models without quantization.
Vision-Language
RTX 5090 excels at vision-language tasks due to higher memory bandwidth accelerates image token processing, and more VRAM (32GB) handles larger image batches efficiently.
Image Generation
RTX 5090 leads in image generation because faster memory enables quicker diffusion iterations, and Blackwell architecture optimizations accelerate denoising operations.
Video Generation
RTX 5090 dominates video generation with significantly more VRAM (32GB) maintains temporal coherence across frames, and 1.8TB/s bandwidth handles high-throughput video data.
Speech-to-Text
RTX 5080 excels at speech-to-text because 5th Gen Tensor Cores accelerate attention-based speech recognition.
ข้อมูลจำเพาะทางเทคนิค
RTX 5080
RTX 5090
ผู้ชนะโดยรวม
RTX 5090
9 ชนะจาก 10 benchmarks
1
RTX 5080
9
RTX 5090
RTX 5080 ข้อได้เปรียบ
- Dominates in Speech-to-Text
RTX 5090 ข้อได้เปรียบ
- More VRAM (32GB vs 16GB)
- Strong in LLM Inference
- Dominates in Vision-Language
- Dominates in Image Generation
Frequently Asked Questions
RTX 5090 outperforms RTX 5080 in 9 out of 10 AI benchmarks. The RTX 5090's Blackwell architecture introduces 5th generation Tensor Cores with enhanced AI processing capabilities and DLSS 4 Multi Frame Generation. With 1.8 TB/s memory bandwidth and 32GB GDDR7 memory, it delivers superior throughput for AI inference workloads.
RTX 5080 has 16GB of GDDR7 memory with 960 GB/s bandwidth. RTX 5090 has 32GB of GDDR7 memory with 1.8 TB/s bandwidth. Higher memory bandwidth generally results in faster token generation for large language models.
RTX 5090 is faster for LLM inference. LLM performance is heavily dependent on memory bandwidth - RTX 5090's 1.8 TB/s GDDR7 enables faster token generation compared to RTX 5080's 960 GB/s.
RTX 5080 has a TDP of 360W while RTX 5090 has a TDP of 575W. RTX 5080 is more power efficient, making it suitable for deployments with power constraints. For cloud deployments, consider Float16.cloud where you can access these GPUs without managing power infrastructure.
RTX 5080 is priced around $999-1100 (consumer market), while RTX 5090 costs approximately $1,999-2200 (consumer market).