RTX 4070 Ti FLOPS Calculation | Generated by AI

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FLOPS Calculation for NVIDIA RTX 4070 Ti

The NVIDIA GeForce RTX 4070 Ti has a peak single-precision (FP32) floating-point performance of approximately 40.1 TFLOPS (teraflops), based on its specifications: 7,680 CUDA cores and a boost clock speed of 2.61 GHz. This is calculated as follows:

Assuming 90% utilization non-stop for one year:

To compute this yourself:

  1. Start with the peak TFLOPS (40.1).
  2. Multiply by utilization (0.9) to get effective TFLOPS.
  3. Convert to FLOPS per second by multiplying by 10¹².
  4. Multiply by seconds in a year (use 365.25 × 86,400 for precision).
  5. The result is the total floating-point operations.

Note that real-world utilization depends on workload, cooling, and power limits, so this is a theoretical estimate. Also, your build lists an RTX 4070 (not Ti), which has a lower peak of about 29.1 TFLOPS—let me know if you meant that instead.

PC Build Review

Your build looks solid for a high-end gaming or productivity setup, with good compatibility across components. The Intel i9-13900KF (13th gen) pairs well with the B760 motherboard (LGA 1700 socket, supports DDR5). The RTX 4070 is a strong mid-high GPU for 1440p/4K gaming, and the 750W PSU should handle the load (CPU TDP ~125W base, up to 253W turbo; GPU ~200W). Total power draw under load might hit 500-600W, leaving headroom.

A few notes from my research (prices fluctuate, and since the date is 2025, older gen parts like 13th-gen Intel may be cheaper than 2024 figures):

If this is for gaming, it’s overkill but future-proof. For AI/ML (given the FLOPS query), the 4070 Ti would offer ~38% more performance. Let me know if you want alternatives or tweaks!

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