Video AI 7.0.X - User Benchmarking Results

Updated results after upgrading my CPU and RAM. I didn’t build this pc for Topaz, but just thought it would be interesting to see how the results here were affected by the CPU.

Topaz Video AI  v7.0.1
System Information
OS: Windows v11.24
CPU: AMD Ryzen 9 9950X3D 16-Core Processor            93.602 GB
GPU: NVIDIA GeForce RTX 5090  31.348 GB
GPU: AMD Radeon(TM) Graphics  1.949 GB
Processing Settings
device: 0 vram: 0.92 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	53.56 fps 	2X: 	18.52 fps 	4X: 	05.15 fps 	
Iris		1X: 	41.23 fps 	2X: 	16.91 fps 	4X: 	05.18 fps 	
Proteus		1X: 	52.14 fps 	2X: 	21.79 fps 	4X: 	05.20 fps 	
Gaia		1X: 	18.20 fps 	2X: 	13.97 fps 	4X: 	04.92 fps 	
Nyx		1X: 	19.20 fps 	2X: 	13.83 fps 	
Nyx Fast		1X: 	47.00 fps 	
Rhea		4X: 	04.98 fps 	
RXL		4X: 	04.73 fps 	
Hyperion HDR		1X: 	33.57 fps 	
4X Slowmo		Apollo: 	45.88 fps 	APFast: 	77.30 fps 	Chronos: 	46.64 fps 	CHFast: 	48.14 fps 	
16X Slowmo		Aion: 	36.90 fps 	

The screenshot below compares each benchmark side by side after the CPU and RAM upgrade. These are on slightly different version of Topaz. I assume that doesn’t really have much effect on how the models perform.

As for Starlight Mini, processing a 2 second, 29.97fps 1920x1080 video took me 2m20s at 1x, and 9m30s at 2x with these latest specs. I saw virtually no difference when setting the max VRAM to 100% or 90% (and I confirmed in MSI Afternburner that Topaz kept to the 90% limit in 7.0.1).

Before this upgrade the 2x run with Starlight Mini took 11m30s so a slight speed improvement there too. Though I suspect that is entirely due to the RAM and not the CPU as I was previously maxing out my 32GB of RAM. With 96GB of RAM the peak RAM usage I saw was 63GB so plenty of headroom now.

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