Video AI v3.3.X - User Benchmarking Results

For HD upscales this is mostly correct (depending on the HW config 100% can still be the fastest).

But for SD upscales setting RAM to 10% still leads to a massive performance gain.

Interesting - I have not seen this gain. I mainly deal with 480p video and see no changes when upscaling to 720p when the RAM settings is changed to 10% or 100%.

Perhaps this is only the case when upscaling to 1080p?

I guess the speed gain by reducing RAM usage heavily depends on how many GPU cores you have (someone told that setting RAM to 10% forces the app to use the GPU while at 100% it uses the Neural Engine instead).

So, of course your mileage will vary on the ā€œbareā€ M1 compared to the M2 ultra I have here (with 60 GPU cores).

Anyway this is what I’m getting here upscaling a 524x360 video to 1280x720:

The upper preview was done with RAM set to 10% and the middle and lower one with 80% and 100%, respectively.
So, with many GPU cores you get a massive boost by setting RAM to 10% for anything lower than 1080p input resolution and up to 2x upscales.

Topaz Video AI  v3.3.9
System Information
OS: Windows v10.22
CPU: AMD Ryzen Threadripper 3970X 32-Core Processor   127.87 GB
GPU: NVIDIA GeForce RTX 3090  23.77 GB
Processing Settings
device: 0 vram: 1 instances: 0
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	24.37 fps 	2X: 	10.04 fps 	4X: 	02.79 fps 	
Proteus		1X: 	22.37 fps 	2X: 	09.58 fps 	4X: 	02.74 fps 	
Gaia		1X: 	08.50 fps 	2X: 	05.76 fps 	4X: 	02.68 fps 	
4X Slowmo		Apollo: 	30.39 fps 	APFast: 	47.54 fps 	Chronos: 	18.89 fps 	CHFast: 	24.31 fps 	

So I’m guessing that you’re getting a bit better results from windows 11?

I only have been using 11. Not a fan of 11 but I built the new system with a 4090 and figured it’s optimized better than 10 which I am most likely wrong cause 10 is very stable. I haven’t had any issues with 11 so I don’t have benchmarks from 10. I did debloat 11 so only the basics and maybe that’s why it hasn’t crashed yet. How about you?

Topaz Video AI  v3.3.9
System Information
OS: Windows v11.22
CPU: 13th Gen Intel(R) Core(TM) i9-13900K  127.75 GB
GPU: NVIDIA GeForce RTX 4090  23.59 GB
Processing Settings
device: 0 vram: 1 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	40.23 fps 	2X: 	16.39 fps 	4X: 	04.30 fps 	
Proteus		1X: 	32.26 fps 	2X: 	15.39 fps 	4X: 	04.30 fps 	
Gaia		1X: 	15.85 fps 	2X: 	10.92 fps 	4X: 	04.71 fps 	
4X Slowmo		Apollo: 	41.92 fps 	APFast: 	73.20 fps 	Chronos: 	32.45 fps 	CHFast: 	34.61 fps 	

Topaz Video AI  v3.3.9
System Information
OS: Windows v11.22
CPU: 13th Gen Intel(R) Core(TM) i9-13900K  127.75 GB
GPU: NVIDIA GeForce RTX 4090  23.59 GB
Processing Settings
device: 0 vram: 1 instances: 1
Input Resolution: 720x480
Benchmark Results
Artemis		1X: 	199.20 fps 	2X: 	79.91 fps 	4X: 	24.50 fps 	
Proteus		1X: 	151.91 fps 	2X: 	69.15 fps 	4X: 	22.52 fps 	
Gaia		1X: 	84.64 fps 	2X: 	57.48 fps 	4X: 	30.38 fps 	
4X Slowmo		Apollo: 	216.67 fps 	APFast: 	450.87 fps 	Chronos: 	171.72 fps 	CHFast: 	207.38 fps 	

Topaz Video AI  v3.3.9
System Information
OS: Windows v10.22
CPU: 13th Gen Intel(R) Core(TM) i7-13700K  31.776 GB
GPU: NVIDIA GeForce RTX 4090  23.59 GB
GPU: Intel(R) UHD Graphics 770  0.125 GB
Processing Settings
device: 0 vram: 1 instances: 0
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	49.76 fps 	2X: 	19.62 fps 	4X: 	05.93 fps 	
Proteus		1X: 	40.87 fps 	2X: 	19.16 fps 	4X: 	05.03 fps 	
Gaia		1X: 	16.16 fps 	2X: 	11.72 fps 	4X: 	05.14 fps 	
4X Slowmo		Apollo: 	43.25 fps 	APFast: 	92.77 fps 	Chronos: 	34.20 fps 	CHFast: 	26.64 fps 	

Topaz Video AI  v3.3.9
System Information
OS: Windows v10.22
CPU: 13th Gen Intel(R) Core(TM) i7-13700K  31.776 GB
GPU: NVIDIA GeForce RTX 4090  23.59 GB
GPU: Intel(R) UHD Graphics 770  0.125 GB
Processing Settings
device: 0 vram: 1 instances: 0
Input Resolution: 1280x720
Benchmark Results
Artemis		1X: 	100.56 fps 	2X: 	42.20 fps 	4X: 	11.72 fps 	
Proteus		1X: 	82.95 fps 	2X: 	39.45 fps 	4X: 	11.95 fps 	
Gaia		1X: 	36.05 fps 	2X: 	26.35 fps 	4X: 	11.78 fps 	
4X Slowmo		Apollo: 	108.90 fps 	APFast: 	195.79 fps 	Chronos: 	73.28 fps 	CHFast: 	97.34 fps 	

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Posting beta benchmarks is not a great idea since they are not meant to be directly comparable to official releases. I’m sure that category will be created once it’s released.

1 Like
Topaz Video AI  v3.3.10
System Information
OS: Windows v10.22
CPU: AMD Ryzen Threadripper 3970X 32-Core Processor   127.87 GB
GPU: NVIDIA GeForce RTX 3090  23.77 GB
Processing Settings
device: 0 vram: 1 instances: 0
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	24.15 fps 	2X: 	09.54 fps 	4X: 	02.70 fps 	
Proteus		1X: 	23.89 fps 	2X: 	09.19 fps 	4X: 	02.59 fps 	
Gaia		1X: 	08.41 fps 	2X: 	05.66 fps 	4X: 	02.58 fps 	
4X Slowmo		Apollo: 	29.62 fps 	APFast: 	46.31 fps 	Chronos: 	18.61 fps 	CHFast: 	25.56 fps 	

Topaz Video AI  v3.3.10
System Information
OS: Windows v11.22
CPU: 13th Gen Intel(R) Core(TM) i9-13900K  127.75 GB
GPU: NVIDIA GeForce RTX 4090  23.59 GB
Processing Settings
device: 0 vram: 1 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	37.96 fps 	2X: 	15.00 fps 	4X: 	04.26 fps 	
Proteus		1X: 	28.34 fps 	2X: 	13.16 fps 	4X: 	04.08 fps 	
Gaia		1X: 	15.79 fps 	2X: 	10.86 fps 	4X: 	04.34 fps 	
4X Slowmo		Apollo: 	39.93 fps 	APFast: 	70.19 fps 	Chronos: 	33.42 fps 	CHFast: 	33.48 fps 	

Topaz Video AI  v3.3.10
System Information
OS: Windows v11.22
CPU: 13th Gen Intel(R) Core(TM) i9-13900K  127.75 GB
GPU: NVIDIA GeForce RTX 4090  23.59 GB
Processing Settings
device: 0 vram: 1 instances: 1
Input Resolution: 720x480
Benchmark Results
Artemis		1X: 	192.86 fps 	2X: 	78.84 fps 	4X: 	21.85 fps 	
Proteus		1X: 	139.01 fps 	2X: 	70.42 fps 	4X: 	22.17 fps 	
Gaia		1X: 	85.45 fps 	2X: 	61.56 fps 	4X: 	27.65 fps 	
4X Slowmo		Apollo: 	235.73 fps 	APFast: 	425.31 fps 	Chronos: 	171.98 fps 	CHFast: 	214.44 fps 	

System Memory: 32GB DDR4 @ 3815 MHz(QuadChannel)

Topaz Video AI  v3.3.10
System Information
OS: Windows v10.22
CPU: Intel(R) Core(TM) i9-7940X CPU @ 3.10GHz  31.689 GB
GPU: NVIDIA GeForce RTX 4070 Ti  11.729 GB
Processing Settings
device: 0 vram: 1 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	26.76 fps 	2X: 	10.83 fps 	4X: 	02.94 fps 	
Proteus		1X: 	22.35 fps 	2X: 	10.20 fps 	4X: 	02.84 fps 	
Gaia		1X: 	08.26 fps 	2X: 	05.93 fps 	4X: 	02.86 fps 	
4X Slowmo		Apollo: 	24.27 fps 	APFast: 	43.57 fps 	Chronos: 	19.00 fps 	CHFast: 	17.98 fps

System Memory: 16GB DDR4 @ 3815 MHz(DualChannel)

Topaz Video AI  v3.3.10
System Information
OS: Windows v10.22
CPU: Intel(R) Core(TM) i9-7940X CPU @ 3.10GHz  15.689 GB
GPU: NVIDIA GeForce RTX 4070 Ti  11.729 GB
Processing Settings
device: 0 vram: 1 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	22.38 fps 	2X: 	08.98 fps 	4X: 	02.53 fps 	
Proteus		1X: 	18.16 fps 	2X: 	09.03 fps 	4X: 	02.41 fps 	
Gaia		1X: 	08.22 fps 	2X: 	05.84 fps 	4X: 	02.50 fps 	
4X Slowmo		Apollo: 	23.42 fps 	APFast: 	39.43 fps 	Chronos: 	18.97 fps 	CHFast: 	18.03 fps 	

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Topaz Video AI  v3.3.10
System Information
OS: Windows v11.22
CPU: AMD Ryzen 9 7950X 16-Core Processor              63.732 GB
GPU: NVIDIA GeForce RTX 4090  23.59 GB
GPU: NVIDIA GeForce RTX 4090  23.59 GB
GPU: NVIDIA GeForce RTX 4090  23.59 GB
Processing Settings
device: 0 vram: 1 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	42.81 fps 	2X: 	15.60 fps 	4X: 	03.92 fps 	
Proteus		1X: 	33.10 fps 	2X: 	14.57 fps 	4X: 	04.04 fps 	
Gaia		1X: 	16.35 fps 	2X: 	11.60 fps 	4X: 	04.14 fps 	
4X Slowmo		Apollo: 	46.10 fps 	APFast: 	65.08 fps 	Chronos: 	33.16 fps 	CHFast: 	37.71 fps 	

Topaz Video AI  v3.3.10
System Information
OS: Windows v11.22
CPU: 11th Gen Intel(R) Core(TM) i9-11980HK @ 2.60GHz  63.775 GB
GPU: NVIDIA GeForce RTX 3080 Laptop GPU  15.812 GB
Processing Settings
device: 0 vram: 0.9 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	13.71 fps 	2X: 	08.26 fps 	4X: 	02.39 fps 	
Proteus		1X: 	12.66 fps 	2X: 	07.72 fps 	4X: 	02.40 fps 	
Gaia		1X: 	04.19 fps 	2X: 	02.96 fps 	4X: 	01.98 fps 	
4X Slowmo		Apollo: 	16.70 fps 	APFast: 	42.39 fps 	Chronos: 	10.73 fps 	CHFast: 	20.80 fps 	

Topaz Video AI  v3.3.10
System Information
OS: Windows v11.22
CPU: Intel(R) Core(TM) i7-10700K CPU @ 3.80GHz  127.91 GB
GPU: NVIDIA GeForce RTX 3080 Ti  11.816 GB
GPU: NVIDIA GeForce RTX 3080 Ti  11.816 GB
Processing Settings
device: 2 vram: 1 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	20.20 fps 	2X: 	09.63 fps 	4X: 	02.64 fps 	
Proteus		1X: 	17.01 fps 	2X: 	07.23 fps 	4X: 	02.45 fps 	
Gaia		1X: 	16.24 fps 	2X: 	09.42 fps 	4X: 	02.70 fps 	
4X Slowmo		Apollo: 	17.01 fps 	APFast: 	40.53 fps 	Chronos: 	17.58 fps 	CHFast: 	20.88 fps 	

My latest using the most recent build:

Topaz Video AI  v3.3.10
System Information
OS: Windows v11.22
CPU: 12th Gen Intel(R) Core(TM) i9-12900KF  63.846 GB
GPU: NVIDIA GeForce RTX 3090  23.77 GB
Processing Settings
device: 0 vram: 0.87 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis		1X: 	24.84 fps 	2X: 	15.60 fps 	4X: 	04.32 fps 	
Proteus		1X: 	24.21 fps 	2X: 	13.89 fps 	4X: 	04.19 fps 	
Gaia		1X: 	08.34 fps 	2X: 	05.73 fps 	4X: 	03.83 fps 	
4X Slowmo		Apollo: 	29.17 fps 	APFast: 	62.39 fps 	Chronos: 	18.93 fps 	CHFast: 	27.19 fps 	

interestingly I seem to have lost performance speed as compared to my benchmark on April 9 with build 3.2.0

Topaz Video AI v3.2.0
System Information
OS: Windows v11.2009
CPU: 12th Gen Intel(R) Coreā„¢ i9-12900KF 63.846 GB
GPU: NVIDIA GeForce RTX 3090 23.77 GB
Processing Settings: device: 0 vram: 0.87 instances: 1
Input Resolution: 1920x1080
Benchmark Results
Artemis 1X: 24.52 fps 2X: 18.21 fps 4X: 5.74 fps
Proteus 1X: 24.59 fps 2X: 16.85 fps 4X: 5.54 fps
Gaia 1X: 8.41 fps 2X: 5.79 fps 4X: 3.97 fps
4X Slowmo Apollo: 32.84 fps Chronos: 18.97 fps Chronos Fast: 27.30 fps

One of the developers mentioned making some change to the benchmark that can effect speed. That was between that version and the current. I’m hoping that’s what’s going on.

1 Like

As far as i know, RDNA3 is highly optimised for paralell execution.

And Nvidia has more problems with bugs than AMD.



I would like to know which GPU is the most efficient.

The thing is that 4 times slower means 4 times as longer power consumption.

A 4090 can set to only consume 50% of its peak watts and being almost as fast as before still.

1 Like

Just that an M2 Ultra is more like nearly half the speed of a 4090 in the most common scenario (2x upscale) and the whole system uses ~160W with that - and that is CPU, GPU, HD, Power-supply, fans, everything.

A i9/4090 PC will use at least 600W for the whole system, so the M1/M2 still is power effective. Not to talk about the extreme differences when the system is idling or in desktop use.