RTX 4060 (8GB) vs RTX 5060 Ti (16GB) vs RTX 5070 (12GB) — Full Specs Compared

Full Specs Comparison

Best-in-class values highlighted in blue.

Quick Takeaways

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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.

Note: GPU Generations, VRAM, and Tiers Explained by RTX 4060 vs 5060 Ti vs 5070

How GPU generations evolve

Each GPU generation brings a new architecture that improves efficiency, features, and raw speed. The RTX 4060 uses the Ada Lovelace architecture on a 4nm process, while the RTX 5060 Ti and RTX 5070 move to the newer Blackwell architecture. Newer generations usually add features older cards cannot get, such as DLSS 4 Multi-Frame Generation on the two Blackwell cards versus DLSS 3.5 on the RTX 4060.

• Architecture matters more than raw specs: a newer design delivers more performance per watt and per core.
• CUDA core counts grow each generation, from 3,072 on the 4060 to 4,608 on the 5060 Ti and 6,144 on the 5070.
• Software features land first on the newest architecture, so generational leaps show up in support, drivers, and game optimizations.

VRAM: the number that ages the fastest

Video memory (VRAM) stores textures, shaders, and AI model weights. The three cards here show the split: 8GB GDDR6 on the RTX 4060, 16GB GDDR7 on the RTX 5060 Ti, and 12GB GDDR7 on the RTX 5070. Memory speed also jumps from 17 Gbps to 28 Gbps, lifting bandwidth from roughly 272 GB/s to 448 GB/s and 672 GB/s.

• Modern AAA games at high textures can exceed 8GB, which is why the page flags a high VRAM bottleneck risk on the RTX 4060.
• GDDR7 is faster and more power-efficient than GDDR6, even at the same bus width.
• A wider 192-bit bus on the RTX 5070 is why its bandwidth beats the 128-bit cards despite the same memory speed.
• For AI work, VRAM size often matters more than compute: a model must fit in memory before it can run at all.

Decoding NVIDIA's naming tiers

NVIDIA names cards with a tier that hints at positioning: the xx60 range is the mainstream budget pick, the xx70 is the enthusiast sweet spot, and xx80 and xx90 sit above them. In this comparison, the RTX 4060 targets 1080p Ultra at just 115W, the RTX 5060 Ti targets 1080p and 1440p High-Ultra at 180W, and the RTX 5070 targets 1440p High and light 4K at 250W.

• Rasterization at 1080p is rated at about 140-150% of the 4060 baseline for the 5060 Ti, and 180-195% for the 5070.
• The 5070 holds roughly 90+ FPS at 1440p high/ultra, while the 5060 Ti holds 60+ FPS.
• Higher tiers spend more power to buy more frames: TGP climbs from 115W to 180W to 250W across the three.

Ray tracing and DLSS

Ray tracing simulates realistic light, but it is expensive, so GPUs use dedicated RT cores and upscaling tech. The RTX 4060 has 24 third-generation RT cores; the Blackwell cards have 36 and 48 fourth-generation RT cores. DLSS upscales from a lower render resolution and adds generated frames, and DLSS 4 Multi-Frame Generation on the Blackwell cards can multiply frame rates.

• RT core generations improve the cost per ray, so newer cards trace heavier scenes for less performance loss.
• DLSS 3.5 on the 4060 includes ray reconstruction, while DLSS 4 adds multi-frame generation on the newer cards.
• The page rates 4060 ray tracing as moderate and struggling at 1440p under heavy RT, versus good for the 5060 Ti and excellent for the 5070.

GPUs as AI accelerators

Modern GeForce cards are also AI machines: Tensor cores run the matrix math behind neural networks. Compute figures on this page are about 242 Tensor TFLOPS (FP16) for the 4060, 350+ TFLOPS (FP8/FP16) for the 5060 Ti, and about 493 TFLOPS (FP4/FP8) for the 5070. Precision support also grew, with FP4 and FP6 added on Blackwell.

• Lower-precision math like FP4 and FP8 runs faster, which is how modern local AI models are served.
• The 16GB 5060 Ti is rated best for large local models (8B-14B), while the 4060 is limited to small 3B-7B quantized models.
• For image generation, the 5060 Ti runs SDXL and Flux without out-of-memory errors, while the 4060 can hit limits.
• Video upscaling is about 25% faster on the 5060 Ti and 35-40% faster on the 5070 versus the 4060.

Fun Facts

• The RTX 4060 is the efficiency champion of the trio at 115W, drawing less than half the power of the 5070.
• The 5060 Ti's 16GB buffer matches cards sold at much higher price points, making it the VRAM value pick.
• Fifth-generation Tensor cores on Blackwell add native FP4, which Ada Lovelace cannot do.
• Memory bandwidth nearly triples from the 4060 to the 5070, from 272 to 672 GB/s.
• The 5070's 12GB cap can bottleneck very large AI context loads even though its compute is the fastest of the three.
• All three cards support DLSS, but only the Blackwell pair gets Multi-Frame Generation.
• This page compares specs, not prices, so the best pick depends on what you run, not just the spec sheet.