RTX 5060VSNVIDIA L4
AI基准测试对决 2026
RTX 5060
Blackwell16GB
$349-400
消费级
Entry
NVIDIA L4
Ada Lovelace24GB
$2,500-3000
企业级
Cloud
LLM Inference
| 模型 | RTX 5060 | NVIDIA L4 | 胜者 |
|---|---|---|---|
Typhoon2.5-Qwen3-4B越高越好 | 无法运行 | 529tok/s | NVIDIA L4 |
GPT-OSS-20B越高越好 | 无法运行 | 542tok/s | NVIDIA L4 |
Qwen3-4B-Instruct-FP8越高越好 | 190tok/s | N/A | RTX 5060 |
Vision-Language
| 模型 | RTX 5060 | NVIDIA L4 | 胜者 |
|---|---|---|---|
Qwen3-VL-4B越高越好 | 无法运行 | 445tok/s | NVIDIA L4 |
Qwen3-VL-8B越高越好 | 无法运行 | 298tok/s | NVIDIA L4 |
Typhoon-OCR-3B越高越好 | 无法运行 | 879tok/s | NVIDIA L4 |
Image Generation
| 模型 | RTX 5060 | NVIDIA L4 | 胜者 |
|---|---|---|---|
Qwen-Image越低越好 | 194.00sec | 189.00sec | NVIDIA L4 |
Qwen-Image-Edit越低越好 | 201.00sec | 193.00sec | NVIDIA L4 |
Video Generation
| 模型 | RTX 5060 | NVIDIA L4 | 胜者 |
|---|---|---|---|
Wan2.2-5B越低越好 | 无法运行 | 1527.00sec | NVIDIA L4 |
Wan2.2-14B越低越好 | 无法运行 | 3214.00sec | NVIDIA L4 |
Speech-to-Text
| 模型 | RTX 5060 | NVIDIA L4 | 胜者 |
|---|---|---|---|
Typhoon-ASR越高越好 | 0.353xx realtime | 0.321xx realtime | RTX 5060 |
赢家分析
深入了解每款GPU基于技术规格的性能差异原因
技术分析摘要
NVIDIA L4 wins 9 out of 11 benchmarks, excelling in LLM Inference and Vision-Language. Its overall performance optimization provides a decisive advantage for AI inference workloads.
主要差异
- RTX 5060 uses Blackwell architecture while NVIDIA L4 uses Ada Lovelace
- RTX 5060 features next-gen GDDR7 memory
- RTX 5060 offers consumer pricing vs NVIDIA L4's enterprise cost
LLM Inference
NVIDIA L4 delivers faster LLM inference performance in our benchmarks.
Vision-Language
NVIDIA L4 excels at vision-language tasks due to more VRAM (24GB) handles larger image batches efficiently, and 4th Gen Tensor Cores accelerate cross-attention between visual and text features.
Image Generation
NVIDIA L4 generates images faster with lower latency per generation.
Video Generation
NVIDIA L4 dominates video generation with significantly more VRAM (24GB) maintains temporal coherence across frames.
Speech-to-Text
RTX 5060 excels at speech-to-text because 5th Gen Tensor Cores accelerate attention-based speech recognition.
技术规格
RTX 5060
NVIDIA L4
总体胜者
NVIDIA L4
9 胜出 11 benchmarks
2
RTX 5060
9
NVIDIA L4
RTX 5060 优势
- Significantly lower cost
- Easier availability
- Dominates in Speech-to-Text
NVIDIA L4 优势
- More VRAM (24GB vs 16GB)
- Strong in LLM Inference
- Dominates in Vision-Language
- Dominates in Image Generation
Frequently Asked Questions
NVIDIA L4 outperforms RTX 5060 in 9 out of 11 AI benchmarks. The NVIDIA L4's Ada Lovelace architecture features 4th generation Tensor Cores with DLSS 3 Frame Generation and improved ray tracing performance. With 300 GB/s memory bandwidth and 24GB GDDR6 memory, it delivers superior throughput for AI inference workloads.
RTX 5060 has 16GB of GDDR7 memory with 448 GB/s bandwidth. NVIDIA L4 has 24GB of GDDR6 memory with 300 GB/s bandwidth. Higher memory bandwidth generally results in faster token generation for large language models.
NVIDIA L4 is faster for LLM inference. LLM performance is heavily dependent on memory bandwidth - NVIDIA L4's 300 GB/s GDDR6 enables faster token generation compared to RTX 5060's 448 GB/s.
RTX 5060 has a TDP of 150W while NVIDIA L4 has a TDP of 72W. NVIDIA L4 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 5060 is priced around $349-400 (consumer market), while NVIDIA L4 costs approximately $2,500-3000 (enterprise/datacenter). Note that RTX 5060 is a consumer GPU while NVIDIA L4 is an enterprise solution with different support and warranty terms.