DLSS 4.5 Preset L Explained

DLSS 4.5 Preset L benchmarks suggest stronger 4K AI upscaling in many cases, especially when starting from lower resolutions, but results depend on game, scene, and hardware. Digital Foundry’s test of a 4K upscale from 720p shows improved detail and stability, while NVIDIA’s rollout and broader GPU benchmarks indicate gains across RTX 50, 40, and 30 series. Still, performance cost can be high, so “better” means image quality first, not universal speed.

Also worth reading: RTX 5090 4K Upscaling Benchmarks: How Fast Is It for AI Video in 2026? · RTX VSR vs AI upscaling for video: which is better for upgrading old footage to 4K? · Which K AI Upscaling Models Can Turn Videos Into Better 4K?

For AI video upscaling to 4K, the lesson is similar: preset quality, source resolution, and motion matter. A strong model can recover texture and reduce artifacts, yet it cannot invent missing information perfectly. Users should compare side-by-side frames, test motion-heavy clips, and balance sharpness with temporal consistency. Benchmarks are useful, but the best preset is the one that looks natural on your display and runs reliably on your system.

4K AI Upscaling Benchmark Results

Recent DLSS 4.5 benchmarks suggest that Preset L delivers a noticeable step forward for 4K AI upscaling, particularly when reconstructing a 4K frame from a 720p base. Digital Foundry's testing shows the preset can produce cleaner edges and more stable temporal detail than earlier modes, while NVIDIA's rollout of DLSS 4.5 Super Resolution makes the feature available across GeForce RTX 50, 40, and 30 series hardware. GameGPU's 007 First Light results on RTX 50 cards with path tracing further highlight how the new model handles demanding scenes, and HotHardware's broader GPU comparison indicates consistent gains in image fidelity. For aging RTX owners, the update may be the most impactful yet, improving perceived sharpness without requiring new hardware.

Still, the benefits come with higher computational cost, and real-world results vary by game and scene. Ray Reconstruction improvements and Preset L's aggressive reconstruction can introduce artifacts in fast motion, so users should weigh quality against performance. Overall, the benchmarks point to a meaningful but not universal leap in 4K AI upscaling.

RTX GPU Performance Comparisons

DLSS 4.5 Preset L benchmarks suggest a real step for 4K AI upscaling, but not a universal win. Digital Foundry’s 720p-to-4K test shows aggressive reconstruction can recover detail while sometimes adding shimmer, softness, or artifacts. HotHardware’s comparison across RTX 50, 40, and 30 GPUs shows image quality and performance vary by architecture. NVIDIA frames DLSS 4.5 as an enhancement for games and apps, while GameGPU’s 007 First Light benchmarks emphasize path-traced workloads. For AI video upscaling to 4K, these results are useful but not directly transferable, because game frames differ from compressed video, temporal noise, and camera motion.

XDA found DLSS 4.5 can extend aging RTX PCs, though tradeoffs remain. Ray reconstruction claims point to cleaner lighting and sharper edges, yet Preset L is not a fix-all. Users should compare native 4K, lower-resolution DLSS modes, and alternative upscalers using consistent scenes. For ai-videoupscale.com, DLSS 4.5 is strong for 4K AI upscaling when tuned, less convincing in fast motion or compressed sources, and best judged by side-by-side benchmarks.

Image Quality And Artifacts

Recent DLSS 4.5 Preset L benchmarks suggest that 4K AI upscaling can look cleaner and more stable than earlier presets, especially when starting from a low-resolution source such as 720p. Test coverage across GeForce RTX 50, 40, and 30 GPUs indicates broad availability, while path-traced scenes highlight where temporal detail and ray reconstruction matter most. Digital Foundry’s Preset L testing frames the core question directly: how good can a 4K upscale from 720p really look, and the answer appears to be surprisingly strong in many scenes.

NVIDIA’s rollout through the NVIDIA App also makes the update easier to apply across supported games and apps, which helps older RTX systems benefit from newer reconstruction quality. However, results remain scene-dependent, and expensive frame generation or reconstruction can still introduce shimmer, ghosting, or softness in fast motion. Overall, the benchmarks show meaningful improvement, but not a universal leap for every title.

Best Settings For 4K

DLSS 4.5 Preset L benchmarks suggest AI upscaling to 4K can look remarkably clean from a 720p base, especially on recent GeForce RTX hardware. Digital Foundry testing shows improved temporal stability, sharper edges, and fewer ghosting artifacts in demanding scenes, while NVIDIA’s latest Super Resolution update makes the feature easier to enable through the NVIDIA App. For players chasing high frame rates with path tracing, gains can be substantial, though best results still depend on game support, motion complexity, and model strength.

At the same time, benchmarks do not prove every 4K AI upscale is automatically better. HotHardware and GameGPU results across RTX 50, 40, and 30 series cards show performance and image quality vary by GPU generation, settings, and workload. On older hardware, advanced reconstruction can reduce the benefit, while some scenes still reveal shimmer, softness, or reconstruction errors. So Preset L appears to be a meaningful step forward for 4K AI upscaling, but the real answer depends on testing each game rather than trusting one preset label.

DLSS 4.5 Preset L vs FSR 4.1

Benchmark FocusDLSS 4.5 Preset LFSR 4.1
4K Detail RecoveryStronger fine detailGood but softer
Temporal StabilityFewer shimmer artifactsMore flicker in motion
Edge HandlingCleaner object edgesOccasional haloing
Performance CostHigher compute demandLower overhead
For AI video upscaling to 4K, DLSS 4.5 Preset L appears to improve clarity and temporal consistency, especially from low-resolution sources, but its heavier processing cost matters. FSR 4.1 remains attractive for broader compatibility and efficiency. The best choice depends on source quality, hardware, and whether fidelity or speed is the priority.