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Hardware

Zotac GeForce RTX 3090 Trinity – Lighter And Brighter Than Founders

Keith May

Zotac GeForce RTX 3090 Trinity Productivity and Power Users

V-Ray Next

Chaos Group's V-RAY is a commercial plugin used across various 3D Modeling suites from Maya to Cinema 4D allowing for path tracing, photon mapping, irradiance maps, and directly computed global illumination. The plugin is used from video game creation all the way to film and industrial design.

Related Story GeForce RTX 3080/3090 GPU, Laptop, and Desktop Purchases Come Bundled with Marvel’s Spider-Man Remastered for a Limited Time

Thankfully they have their own benchmark utility so you don't have to go into 10+ different suites to find out how well CPUs or graphics cards perform. We used just the GPU portion for our results and according to Chaos Group, there should be a linear performance improvement based on the power and scaling of the GPU.

V-Ray Next Benchmark
mpaths
0
200
400
600
800
1000
1200
0
200
400
600
800
1000
1200
RTX 3090 Trinity
823
RTX 3090 FE
817
RTX 3080 FE
662
Titan RTX
396
RTX 2080Ti
378
RTX 2080
280
GTX 1080Ti
274

OctaneRender

OctaneRender is touted as the world's first and fastest unbiased spectrally correct GPU render engine and is RTX accelerated to bring 2-5x faster render speeds to NVIDIA's raytracing GPU. So we put the OctaneBench to test here with and without RTX Acceleration and then followed up with an actual workload (provided by NVIDIA) to test out how everything response outside of the benchmark and in a heavily loaded scene.

OctaneBench

Overall Score RTX Enabled
Score
0
200
400
600
800
1000
1200
0
200
400
600
800
1000
1200
RTX 3090 Trinity
666
RTX 3090 FE
672
RTX 3080 FE
563
Titan RTX
384
RTX 2080Ti
358
RTX 2080
272
GTX 1080Ti
203
Overall Score RTX Disabled
Score
0
100
200
300
400
500
600
0
100
200
300
400
500
600
RTX 3090 Trinity
529
RTX 3090 FE
531
RTX 3080 FE
454
Titan RTX
344
RTX 2080Ti
326
RTX 2080
243
GTX 1080Ti
203
Box Path Tracing
Ms/s
0
20
40
60
80
100
120
0
20
40
60
80
100
120
RTX 3090 Trinity
88
RTX 3090 FE
89
RTX 3080 FE
74
Titan RTX
49
RTX 2080Ti
46
RTX 2080
35
GTX 1080Ti
25

In the actual OctaneRender scene we measured the time to completion as well as memory allocation. We set the Out-of-System memory up to 8GB from the default 4GB and when running the final render we can measure how much of the GPUs memory is being used as well as system resource overflow. In the render time results the 0 time for the RTX 2080 and the GTX 1080Ti are results from a render failure, so they were removed from the memory results.

OctaneRender

Time to Render - lower is better
Measurement
0
90
180
270
360
450
540
0
90
180
270
360
450
540
RTX 3090 Trinity
38
RTX 3090 FE
37
RTX 3080 FE
341
Titan RTX
51
RTX 2080Ti
458
RTX 2080
0
GTX 1080Ti
0
GPU Memory Used
Measurement
0
3
6
9
12
15
18
0
3
6
9
12
15
18
RTX 3090 Trinity
16
RTX 3090 FE
16
RTX 3080 FE
8
Titan RTX
14
RTX 2080Ti
7
RTX 2080
0
GTX 1080Ti
0

As a note here, the 0 measurement indicates that all memory was able to be handled on the GPU itself without having to offload to system memory during the rendered scene.

Out-of-Core System Memory - lower is better
Measurement
0
2
4
6
8
10
12
0
2
4
6
8
10
12
RTX 3090 Trinity
0
RTX 3090 FE
0
RTX 3080 FE
6
Titan RTX
0
RTX 2080Ti
6
RTX 2080
0
GTX 1080Ti
0

Davinci Resolve

Black Magic Davinci Resolve is a great place to work with RED 8K Raw footage, but it is not the easiest thing in the world to work with. If you're looking for a performance chart on here you're not really going to find one since it's either a pass/fail and experiential workflow experience.  We were provided an 8K Raw video sample and played around with it to find that cards outside of the Titan RTX and the RTX 3090 the experience was quite subpar resulting in much lower playback speeds and constant crashes. Being able to playback the color corrected and modified 8K Raw footage made for a much smoother workflow. And if you're the kind of content creator that would be utilizing that kind of equipment I could easily see why you would be in the market for a 24GB capable graphics card.

Blender Render

Blender is a household name at this point for those in the 3D modeling and rendering scene and is used by many aspiring creators. They updated it last year with experimental an ongoing support for NVIDIA OptiX. Optix is an application framework for boosting ray tracing performance on the NVIDIA RTX lineup of cards. There is also an Optix AI denoiser as well so in our testing of the provided scene we did a pass using the OptiX enhancements vs the traditional CUDA based rendering with Open Image Denoiser applied. This scene did cause issues for lower VRAM cards and is signified by a 0 performance metric showing it did not finish. This is another instance where we can see that the raw performance of the RTX 3080 shown in synthetics and gaming vs the RTX 3090 just don't hold up when there isn't enough VRAM for these professional applications.

OptiX Render Time - lower is better
Time in seconds
0
40
80
120
160
200
240
0
40
80
120
160
200
240
RTX 3090 Trinity
33
RTX 3090 FE
33
RTX 3080 FE
0
Titan RTX
134
RTX 2080Ti
171
RTX 2080
0
GTX 1080Ti
0
CUDA + Open Image Denoise - lower is better
Time in seconds
0
400
800
1200
1600
2000
2400
0
400
800
1200
1600
2000
2400
RTX 3090 Trinity
55
RTX 3090 FE
54
RTX 3080 FE
303
Titan RTX
76
RTX 2080Ti
117
RTX 2080
0
GTX 1080Ti
1.8k

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