RTX 4060 (8GB) vs RTX 5060 Ti (16GB) vs RTX 5070 (12GB) — Full Specs Compared
Three NVIDIA GeForce GPUs from two generations go head-to-head: the Ada Lovelace-based RTX 4060 (budget 1080p gaming), the Blackwell RTX 5060 Ti with a 16GB GDDR7 frame buffer (AI and VRAM-heavy workloads), and the Blackwell RTX 5070 with the highest raw compute (1440p and light 4K gaming). This reference table covers architecture, gaming performance, and local AI capabilities side by side.
Full Specs Comparison
| Specification | RTX 4060 (8GB) | RTX 5060 Ti (16GB) | RTX 5070 (12GB) |
|---|---|---|---|
| ⚡ Architecture & Specs | |||
| Architecture | Ada Lovelace (4nm) | Blackwell (4nm / 5nm class) | Blackwell (4nm / 5nm class) |
| CUDA Cores | 3,072 | 4,608 | 6,144 |
| Tensor Cores | 96 (4th Gen) | 144 (5th Gen, FP4) | 192 (5th Gen, FP4) |
| RT Cores | 24 (3rd Gen) | 36 (4th Gen) | 48 (4th Gen) |
| VRAM | 8 GB GDDR6 | 16 GB GDDR7 | 12 GB GDDR7 |
| Memory Bus | 128-bit | 128-bit | 192-bit |
| Memory Speed | 17 Gbps | 28 Gbps | 28 Gbps |
| Memory Bandwidth | ~272 GB/s | ~448 GB/s | ~672 GB/s |
| TGP | 115 W (most efficient) | 180 W | 250 W |
| DLSS Support | DLSS 3.5 | DLSS 4 (Multi-Frame Generation) | DLSS 4 (Multi-Frame Generation) |
| 🎮 Gaming Performance | |||
| Target Resolution | 1080p Ultra | 1080p / 1440p High-Ultra | 1440p High / Light 4K |
| Rasterization 1080p | Baseline (100%) | ~140% – 150% baseline | ~180% – 195% baseline |
| Rasterization 1440p | Struggles on modern AAA games (8GB VRAM limit) | Strong (~60+ FPS high/ultra) | Very strong (~90+ FPS high/ultra) |
| Ray Tracing | Moderate; struggles at 1440p with heavy RT | Good; 4th Gen RT cores | Excellent; raw core count keeps FPS high |
| VRAM Bottleneck Risk | High risk in modern AAA titles (stuttering, texture pop-in) | Zero risk (16GB headroom) | Very low (12GB sufficient for 1440p) |
| 🤖 AI Performance | |||
| Compute Performance | ~242 Tensor TFLOPS (FP16) | ~350+ Tensor TFLOPS (FP8/FP16) | ~493 Tensor TFLOPS (FP4/FP8) |
| Native Precision Support | FP16, FP8, INT8 | FP4, FP6, FP8, INT8 | FP4, FP6, FP8, INT8 |
| Local LLM Execution | Small models only (3B–7B quantized) | Best for large models (8B–14B smoothly) | Fast inference, limited to 7B–12B |
| Image Generation | SD 1.5 & basic SDXL only (OOM on Flux) | Optimal for SDXL & Flux (no OOM) | Fast rendering, but batch may cap at 12GB |
| Video Upscaling | Baseline | ~25% faster than 4060 | ~35% – 40% faster than 4060 |
Best-in-class values highlighted in blue.
Quick Takeaways
🏆 Best Gaming Performance
RTX 5070 — highest frame rates at every resolution (up to ~195% of the 4060 baseline at 1080p, ~90+ FPS at 1440p) with excellent ray tracing.
🤖 Best for AI & VRAM-Heavy Workloads
RTX 5060 Ti (16GB) — 16GB GDDR7 plus FP4 precision makes it the sweet spot for local LLMs (8B–14B) and diffusion models without OOM.
💰 Best Budget Pick
RTX 4060 — excellent for budget 1080p gaming at just 115W TGP, but the 8GB buffer limits textures, ray tracing, and local AI.
A short read of the numbers
The RTX 5070 is the clear winner on raw gaming and compute: 6,144 CUDA cores, ~672 GB/s of bandwidth, and ~493 Tensor TFLOPS give it the fastest frames and fastest AI inference of the three. The RTX 5060 Ti counters with the largest frame buffer (16GB GDDR7) and FP4 support, which matters more for local LLMs and image generation than raw TFLOPS. The RTX 4060 trails on almost every metric except power draw, where its 115W TGP makes it the most efficient option.
The practical takeaway: pick the RTX 5070 for pure gaming and raw speed, the RTX 5060 Ti if you run local AI models and want VRAM headroom, and the RTX 4060 only if budget is the deciding factor. The 12GB cap on the 5070 can bottleneck larger AI context loads compared to the 5060 Ti, despite its faster compute.