Home ConsumerClient Accessories NVIDIA Quadro RTX 5000 Review

NVIDIA Quadro RTX 5000 Review

by Adam Armstrong

Back in August at SIGGRAPH, NVIDIA announced an all new graphics architecture, Turing, as well as new Quadro RTX GPUs. Of the several new GPUs announced then, today we will be looking specifically at the NVIDIA Quadro RTX 5000 GPU. Billed as the first ray-tracing GPUs that also uses deep learning and advanced shading. The RTX 5000 is designed for next-generation workloads with the potential of rendering photorealistic scenes in real-time, a boon to video editors as well as automotive and architectural designers.

Back in August at SIGGRAPH, NVIDIA announced an all new graphics architecture, Turing, as well as new Quadro RTX GPUs. Of the several new GPUs announced then, today we will be looking specifically at the NVIDIA Quadro RTX 5000 GPU. Billed as the first ray-tracing GPUs that also uses deep learning and advanced shading. The RTX 5000 is designed for next-generation workloads with the potential of rendering photorealistic scenes in real-time, a boon to video editors as well as automotive and architectural designers.

The driving force behind the new wave of GPUs is the NVIDIA new Turing architecture. The company is revered for its GPU leadership and has built upon this with its new core GPU architecture. The subject of the architecture is a bit too deep to get into here, but to sum it up: Turing uses several hardware advancements to achieve impressive new results. For ray-tracing, the architecture leverages processors called RT cores that accelerate the computation of how light and sound travel in 3D environments by up to 10 Giga Rays per second. A streaming multiprocessor improves raster performance and adds an enhanced graphics pipeline and new programmable shading technologies. Turing comes with new Tensor Cores that provide 500 trillion tensor operations per second. And Turing allows users to take advantage of more CUDA cores to support up to 16 trillion floating-point operations in parallel with 16 trillion integer operations per second.

The NVIDIA Quadro RTX 5000 is geared for creative professional that need to work on complex projects quickly and effectively. The GPU has 3,072 CUDA cores, 384 Tensor cores, 48 RT Cores and 16GB GDDR6 memory. This impressive amount of hardware is able to render complex models and scenes with physically accurate shadows, reflections, and refractions. The RTX 5000 supports NVIDIA NVLink letting users scale their memory and performance with multiple GPU configurations. Assuming there is room in their workstation, users can connect two Quadro RTX 5000 GPUs for up to 50GB/s of bandwidth and a combined 32 GB of GDDR6 memory. The GPU also comes with VirtualLink providing connectivity to the next-generation of high-resolution VR head-mounted displays.

NVIDIA Quadro RTX 5000 Specifications

ArchitectureNVIDIA Turing
GPU Memory16GB GDDR6
Memory Interface256-bit
Memory BandwidthUp to 448 GB/s
NVIDIA CUDA Cores3,072
NVIDIA Tensor Cores384
Single-Precision Performance11.2 TFLOPS
Tensor Performance89.2 TFLOPS
NVIDIA NVLinkConnects 2 Quadro RTX 5000 GPUs
NVIDIA NVLink bandwidth50GB/s (bidirectional)
System InterfacePCI Express 3.0 x 16
Power ConsumptionTotal board power: 265W
Total graphics power: 230W
​Thermal Solution Active
Form Factor4.4” H x 10.5” L, Dual Slot, Full Height
Display Connectors4xDP 1.4, 1x USB-C
Max Simultaneous Displays4x 4096×2160 @ 120 Hz
4x 5120×2880 @ 60 Hz
​2x 7680×4320 @ 60 Hz
Encode/ Decode Engines1X Encode, 2X Decode
VR ReadyYes
Graphics APIsDirectX 12.0
Shader Model 5.1
OpenGL 4.5
Vulkan 1.0
Compute APIs


In order to test the performance of the new architecture in the NVIDIA Quadro RTX 5000 GPU, we installed it in our Lenovo ThinkSystem P920 workstation running Windows 10. For a comprehensive look at how each card performs, we leveraged multiple industry benchmarks and GPU-accelerated software that can take full advantage of the card under test. Not only will we be comparing it to the NVIDIA Quadro RTX 4000, which shares the Turning architecture, we will also be comparing it the previous Pascal Quadro line including the P6000, the P5000, and the P4000. This is less of, which is better, and more of what to expect with the GPU chosen.

In order to get a better idea of how these GPUs have scaled from different architectures, we’ve included the following table that summarizes the RTX family as it sits today. The RTX 5000 sits in a middle slot, one step up from the entry RTX 4000 and below the two more powerful RTX 6000 and RTX 8000 sibblings.

RTX 4000RTX 5000RTX 6000RTX 8000
Memory Interface256-bit256-bit384-bit384-bit
Memory BandwidthUP to 416GB/sUp to 448GB/sUp to 672GB/sUp to 672GB/s
NVIDIA CUDA Cores2,3043,0724,6084,608
NVIDIA Tensor Cores288384 576576
NVIDIA RT Cores36487272
Single-Precision Performance7.1 TFLOPS11.2 TFLOPS16.3 TFLOPS16.3 TFLOPS
Tensor Performance57.0 TFLOPS89.2 TFLOPS130.5 TFLOPS130.5 TFLOPS

Our first benchmark is the LuxMark cross-platform OpenCL benchmark tool. LuxMark is based on the LuxCore API, and offered as a promotional component of the LuxCoreRender suite. It uses a new micro-kernel based OpenCL path tracer as the rendering more for its benchmark, offering a unique way to stress the GPU installed in a given workstation.

RTX 400028,338
RTX 500029,404

While the Pascal GPUs came off the LuxMark with good results there is an obvious jump in performance when looking at the Turning GPUs. The RTX 5000 was the top performer to no surprise with a score of 29,404.

Next up is Arion, a CUDA benchmarking tool, developed by RandomControl that allows workstations to stress CPUs or GPUs in a rendering application. ArionBench is a software tool based on Arion 2 Technology that puts CPU/GPUs under heavy stress through the task of simulating the flow of light in a 3D scene.

RTX 40004,484
RTX 50006,193

Another large jump in scores going from Pascal to Turing with the RTX 5000 leaping way out ahead of the rest, significantly faster than the P6000.

Our next benchmark leverages SolidWorks 2019 and four 3D models coveraging an Audi R8, a construction digger, a jet engine as well as a ralley car. Solidworks is an industry-leading GPU-accelerated 3D CAD modeling application that operates on Windows-based systems. SolidWorks is developed by Dassault Systèmes and is used by over two million engineers and more than 165,000 companies worldwide. For benchmarking purposes we leverage the new “performance pipeline” feature inside SolidWorks 2019. This architecture provides a more responsive, real-time display especially for large models. It takes advantage of modern OpenGL (4.5) and hardware-accelerated rendering to maintain a high level of detail and frame rate when you pan, zoom, or rotate large models.

After each model is rendered our script rotates each model five times and measures the time required to complete this task. It then divides that by the number of frames rendered and calculates the average frames per section (FPS) score.

Solidworks R8Average FPS
RTX 4000211.1824
RTX 5000208.8849
Solidworks DiggerAverage FPS
RTX 4000259.6056
RTX 5000294.2529
Solidworks Jet EngineAverage FPS
RTX 4000220.6897
RTX 5000283.2206
Solidworks Rally CarAverage FPS
RTX 4000214.4253
RTX 5000217.256

It is interesting to see a slight downturn in performance for the Turing GPUs in Solidworks R8 and Rally Car compared to the Pascal, though those files may not fully leverage the newer GPUs. The RTX 5000 did provide superior performance in Digger and Jet Engine, outperforming the others by a wide margin. With our Solidworks we were using the beta display mode that may be the cause of the unusual scaling seen on the Audi R8 and RallyCar Assemblies.

Next up is the Environmental Systems Research Institute (Esri) benchmark. Esri is a supplier of Geographic Information System (GIS) software. Esri’s Performance Team designed their PerfTool add-in scripts to automatically launch the ArcGIS Pro. This application uses a “ZoomToBookmarks” function to browse various pre-defined bookmarks and create a log file with all the key data points required to predict the user experience. The script automatically loops the bookmarks three times to account for caching (memory and disk cache). In other words, this benchmark simulates heavy graphical use that one might see through Esri’s ArcGIS Pro 2.3 software.

The tests consist of three main datasets. Two are 3-D city views of Philadelphia, PA and Montreal, QC. These city views contain textured 3-D multipatch buildings draped on a terrain model and draped aerial images. The third dataset is a 2-D map view of the Portland, OR region. This data contains detailed information for roads, landuse parcels, parks and schools, rivers, lakes, and hillshaded terrain.

Looking at drawtime of the Montreal model, the NVIDIA Quadro RTX 5000 showed an average drawtime of 00:01:31.067, while average and minimum FPS showed 527.636 and 190.775, respectively.

ESRI ArcGIS Pro 2.3 Montreal
Quadro P400000:01:31.084
Quadro P500000:01:31:082
Quadro P600000:01:31.081
Quadro RTX 400000:01:31.284
Quadro RTX 500000:01:31.067
Average FPSAverage
Quadro P4000432.327
Quadro P5000489.889
Quadro P6000521.551
Quadro RTX 4000502.395
Quadro RTX 5000527.636
Minimum FPSAverage
Quadro P4000164.546
Quadro P5000194.218
Quadro P6000190.336
Quadro RTX 4000180.699
Quadro RTX 5000190.775

Next up is our Philly model, where the RTX 5000 showed an average drawtime of 00:01:01.111, while average and minimum FPS showed 531.315 and 224.341, respectively.

ESRI ArcGIS Pro 2.3 Philly
Quadro P400000:02:53.928
Quadro P500000:01:01.109
Quadro P600000:01:01.245
Quadro RTX 400000:01:00.231
Quadro RTX 500000:01:01.111
Average FPSAverage
Quadro P4000304.340
Quadro P5000451.826
Quadro P6000469.879
Quadro RTX 4000434.170
Quadro RTX 5000531.315
Minimum FPSAverage
Quadro P4000160.152
Quadro P5000212.910
Quadro P6000207.879
Quadro RTX 4000196.825
Quadro RTX 5000224.341

Our last model is of Portland. Here, the RTX 5000 had an average drawtime of 00:00:32.541. Average FPS showed 2,783.547 while Minimum FPS showed 1,007.309.

ESRI ArcGIS Pro 2.3 Portland
Quadro P400000:00:32.426
Quadro P500000:00:32.310
Quadro P600000:00:32.552
Quadro RTX 400000:00:32.646
Quadro RTX 500000:00:32.541
Average FPSAverage
Quadro P40002,051.053
Quadro P50002,057.395
Quadro P60002,343.948
Quadro RTX 40002,821.928
Quadro RTX 50002,783.547
Minimum FPSAverage
Quadro P40001,179.974
Quadro P50001,189.524
Quadro P60001,282.045
Quadro RTX 40001,083.260
Quadro RTX 50001,007.309


The NVIDIA Quadro RTX 5000 is one of the company’s newer GPUs based off of its Turing architecture. Turing is set to be a completely new take on GPU architecture as NVIDIA is looking to both change things up now with an eye on future developments. Aimed at creative professionals that have complex projects that need efficient and quick work, the RTX 5000 has impressive hardware under its hood including 3,072 CUDA cores, 384 Tensor cores, 48 RT Cores and 16GB GDDR6 memory. For those needing even more GPU performance, the RTX can scale with a second GPU through NVIDIA NVLink.

For all of its components that should lead to superior performance, we put it through a barrage of tests, new and old, just to see what it can do. A surprise to no one, the NVIDIA Quadro RTX 5000 was the top performer in most of our tests. In LuxMark and Arion the RTX 5000 more than doubled the scores of the P5000. The RTX 5000 had strong performance in the Solidworks Digger and Jet Engine benchmarks. It should be kept in mind that the RTX 5000, as powerful as it is, is not the top of the line in Turing GPUs.

If a creative professional is looking for a larger performance leap in most areas, the NVIDIA Quadro RTX 5000 will fit this bill. Our above performance results highlight the areas where the RTX 5000 shines and a few spots where a Pascal-based GPU performs well enough. Overall, with the RTX family NVIDIA has done an excellent job continuing to push the boundaries of what’s available to creatives within a desktop. For its part, the RTX 5000 fills out the midrange offering well, offering a good balance of performance and price.

NVIDIA RTX 5000 at Amazon

Discuss this review

Sign up for the StorageReview newsletter

    Share via
    Copy link