RTX 5080VSRTX 5090
AI Benchmark Battle 2026
RTX 5080
Blackwell16GB
$999-1100
Pengguna
High-End
RTX 5090
Blackwell32GB
$1,999-2200
Pengguna
Flagship
LLM Inference
| Model | RTX 5080 | RTX 5090 | Pemenang |
|---|---|---|---|
Typhoon2.5-Qwen3-4BLebih tinggi lebih baik | 1,013tok/s | 1,446tok/s | RTX 5090 |
GPT-OSS-20BLebih tinggi lebih baik | Tidak Dapat Dijalankan | 1,338tok/s | RTX 5090 |
Qwen3-4B-Instruct-FP8Lebih tinggi lebih baik | N/A | N/A | N/A |
Vision-Language
| Model | RTX 5080 | RTX 5090 | Pemenang |
|---|---|---|---|
Qwen3-VL-4BLebih tinggi lebih baik | 895tok/s | 1,005tok/s | RTX 5090 |
Qwen3-VL-8BLebih tinggi lebih baik | 403tok/s | 868tok/s | RTX 5090 |
Typhoon-OCR-3BLebih tinggi lebih baik | 394tok/s | 1,577tok/s | RTX 5090 |
Image Generation
| Model | RTX 5080 | RTX 5090 | Pemenang |
|---|---|---|---|
Qwen-ImageLebih rendah lebih baik | 106.00sec | 46.00sec | RTX 5090 |
Qwen-Image-EditLebih rendah lebih baik | 114.00sec | 50.00sec | RTX 5090 |
Video Generation
| Model | RTX 5080 | RTX 5090 | Pemenang |
|---|---|---|---|
Wan2.2-5BLebih rendah lebih baik | 712.00sec | 344.00sec | RTX 5090 |
Wan2.2-14BLebih rendah lebih baik | 2067.00sec | 903.00sec | RTX 5090 |
Speech-to-Text
| Model | RTX 5080 | RTX 5090 | Pemenang |
|---|---|---|---|
Typhoon-ASRLebih tinggi lebih baik | 0.344xx realtime | 0.324xx realtime | RTX 5080 |
Analisis Pemenang
Analisis mendalam mengapa setiap GPU berprestasi berbeza berdasarkan spesifikasi teknikal
Ringkasan Analisis Teknikal
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.
Perbezaan Utama
- 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.
Spesifikasi Teknikal
RTX 5080
RTX 5090
Pemenang Keseluruhan
RTX 5090
9 menang daripada 10 benchmarks
1
RTX 5080
9
RTX 5090
RTX 5080 Kelebihan
- Dominates in Speech-to-Text
RTX 5090 Kelebihan
- 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).