AMD Ryzen vs. Intel System Latency Benchmark: Best Gaming CPUs for Fortnite, CSGO, etc.

AMD Ryzen vs Intel — Total System (Input) Latency Benchmark

Purpose and scope

• Measured end-to-end system latency (mouse click → visible in-game response) for AMD vs Intel across several competitive games to evaluate whether CPU architecture (for example, Ryzen’s IO-die layout) produces a real input-latency advantage.
• Focused on competitive/low-latency titles: CS:GO, Fortnite, Overwatch, Rocket League. Included one GPU-bound title (Sniper Elite 4) as a control case.
• Tests were CPU-to-CPU comparisons in controlled single-player scenarios to keep loads reproducible.

Overarching conclusion: No meaningful, consistent input-latency advantage for Ryzen vs Intel when comparing similarly priced parts — differences are generally within run-to-run variation and correlate strongly with frame rate.

Test methodology (notable details)

• Equipment and measurement
  • 1080p resolution, 240 Hz monitor.
  • 1000 fps high-speed camera; mouse LED recorded and frames counted manually.
• Repetition and labor
  • 80–90 manual test passes per CPU per game; manual frame counting (high labor/time cost).
• System configuration
  • Same test bench across CPUs. Gigabyte X570 Aorus Master motherboard used.
  • Mouse plugged into the USB port designated as CPU-integrated (BIOS-flash port) to bypass chipset latency.
• Memory
  • Most CPUs tested with G.Skill Trident Z 3200 CL14 (tuned).
  • Intel i3-10100 tested at 2666 MHz CL15 to reflect typical lower-end platform limits.
• In-game settings
  • 1080p, 100% resolution scale; vsync & G-Sync disabled; fps uncapped except where engine limits applied.
  • Specific flags per game (e.g., CS:GO frame cap set to 999).
  • Measurement details: CS:GO measured first frame where scope mask disappears after firing. Fortnite done in Battle Lab (single-player). Overwatch training grounds tested with/without reduced buffering. Rocket League allowed >700 fps via config override. Sniper Elite 4 used DX12/async compute to show GPU-bound behavior.

Key findings (per-game highlights)

• General observation: Total system latency scales with frame rate — higher fps leads to lower end-to-end latency. Most observed differences are explained by fps rather than CPU architecture.

• CS:GO (competitive focus)

  • i5-10600K ≈ Ryzen 7 3700X. Example averages without bots: 10600K ~19.99 ms, 3700X ~19.16 ms (within standard deviation).
  • With bots (local practice server) both rose to ~22 ms. Lower-end CPUs (i3-10100, 3300X) clustered similarly, slightly higher in some cases.

• Fortnite (DX12, Battle Lab)

  • 10600K: ~15.3 ms; 3700X: ~15.9 ms; i3-10100: ~18.2 ms.
  • Higher-end parts produced slightly lower latency, but differences remain small.

• Overwatch (engine-limited to ~300 fps)

  • 10600K: ~19.33 ms average (technical lead); 3700X: ~20.7 ms.
  • Both results fall within the standard-deviation noise for 80 runs. Reduced buffering did not materially change outcomes at these frame limits.

• Rocket League (high-framerate scenario)

  • 3700X slightly best: ~10.19 ms; 10600K ~10.59 ms; 3300X ~10.63 ms; i3-10100 ~11.09 ms. Differences correlate with very high fps.

• Sniper Elite 4 (GPU-bound)

  • GPU-limited case: CPU choice didn’t matter. Latencies were indistinguishable and within variance.

Analysis and takeaways

• Total system latency is driven primarily by frame rate: increasing fps reduces end-to-end latency. This explains most observed differences between CPUs.
• No evidence that Ryzen’s IO-die configuration causes a meaningful disadvantage or advantage for input processing in these single-player tests.
• Differences observed are small (single-digit milliseconds) and often within standard deviation; they would be most relevant only to very high-level competitive or professional players.
• Limitations
  • Tests were restricted to controlled single-player scenarios. Multiplayer/network effects (latency, player-load variance) were excluded because they introduce unpredictable variables.
  • CPU-heavy titles (large-scale strategy/RTS) might show different separations and would require separate testing.
• Testing cost/time: the methodology is very labor-intensive (10–14 days and manual counting), so expanding the test suite is expensive.

Products / parts tested

• Intel
  • i5-10600K
  • i3-10100
• AMD
  • Ryzen 7 3700X
  • Ryzen 3 3300X
• Motherboard: Gigabyte X570 Aorus Master (CPU-designated USB port used)
• Memory: G.Skill Trident Z 3200 CL14 (most tests); 2666 CL15 for i3-10100
• Peripherals/sensors: Mouse LED recorded with 1000 fps camera; 240 Hz display

Practical guidance

• To reduce input latency, prioritize higher sustained FPS (GPU + CPU combination) and low-latency peripherals/monitor settings rather than expecting a clear architectural CPU winner.
• For GPU-bound games, CPU choice matters much less for input latency.
• For competitive/professional play, marginal millisecond differences can matter; for most users the measured differences are unlikely to be noticeable.

Additional notes

• Sponsor: Squarespace (used for GamersNexus store/site).
• The testing team may consider additional tests (CPU-heavy titles, multiplayer scenarios) if requested; these require significant time and a reproducible methodology.

Main speakers / sources

• GamersNexus (testing team)
• Patrick (manual test operator / frame counter)
• Sponsor mention: Squarespace