A Principled Technologies report: Hands-on testing. Real-world results.
HP ZBook Power 16-inch G11 Mobile Workstation PC: Accelerate growth and performance
vs. an HP ZBook Power 15.6-inch G10 Mobile Workstation PC
The HP ZBook Power 16-inch G11 mobile workstation PC is powered by an Intel® Core™ Ultra processor, which integrates central processing unit (CPU), graphic processing unit (GPU), and neural processing unit (NPU) architecture into a single chip.1 What benefits does this cutting-edge technology bring to the table?
To find out, we used industry-standard benchmarks to compare AI, 3D rendering, and content creation workload performance on a next-gen HP ZBook Power 16-inch G11 Mobile Workstation PC powered by an Intel® vPro® with Intel Core Ultra 7 processor 165H to that of its 15.6-inch G10 predecessor powered by an Intel Core i7-13800H processor. We found the new Intel Core Ultra processor-powered HP ZBook Power 16-inch G11 Mobile Workstation PC delivers wins in every category, helping separate the champions from the also-rans.
How we tested
To measure the benefits of upgrading to the newest 16-inch HP ZBook Power G11 Mobile Workstation PC, we equipped both Windows 11 Pro systems with 32 GB of memory, 512 GB of storage, and the closest discrete NVIDIA® graphics available at the time of testing:
HP ZBook Power 16-inch G11
Mobile Workstation PC
Intel vPro with Intel Core Ultra 7 processor 165H
Integrated Intel Arc™ graphics
Integrated Intel AI Boost
Discrete NVIDIA RTX™ 500 Ada graphics
83-Whr battery
HP ZBook Power 15.6-inch G10
Mobile Workstation PC
Intel vPro with Intel Core i7-13800H processor
Integrated Intel Iris® Xe graphics
No NPU component
Discrete NVIDIA RTX A500 graphics
83-Whr battery
To evaluate system performance from many angles, we used these industry-standard benchmarks and AI tools:
3DMark® Fire Strike Extreme
3DMark Time Spy Extreme
Cinebench 2024
Geekbench AI
ResNet-50
SPECworkstation® 3.1
Stable Diffusion
The results we report reflect the specific configurations we tested. Any difference in the configurations—as well as screen brightness, network traffic, and software additions—can affect these results. For a deeper dive into our testing parameters and procedures, see the science behind the report.
About the HP ZBook Power 16-inch G11 Mobile Workstation PC
The HP ZBook Power 16-inch G11 Mobile Workstation PC is powered by Intel Core Ultra processors with dedicated AI-accelerated capabilities across the CPU, GPU, and NPU architecture.2
Whether your day is filled with problem solving, 3D modeling and rendering, or using AI or machine learning (ML) applications, system performance is key to your success.
The SPECworkstation 3.1 benchmark measures CPU, graphics, I/O, and memory bandwidth for diverse professional applications.5 Each SPECworkstation 3.1 workload uses different tools to measure performance of industry-specific workflows. The Product Development workload uses Rodinia, WPCcfd, CalcuilX, CATIA, Creo, NX, Solidworks, and Showcase tools. The Financial Services workload uses a Monte Carlo simulation algorithm as well as Black-Scholes and Binomial options pricing model algorithms.6
Speed content creation and graphics-intensive efforts
The level of system performance that business, creative, and technical professionals require depends on their specific workflows.
The 3DMark Fire Strike Extreme benchmark is a DirectX 11 test that stresses both CPU and GPU.7 The 3DMark Time Spy Extreme benchmark is a DirectX 12 test that stresses graphics cards and multi-core processors.8 Better real-time graphics performance can translate to faster 3D graphic rendering and smoother viewing experiences.
The Cinebench 2024 benchmark uses the Redshift rendering engine to evaluate CPU and GPU capabilities while running a Cinema 4D scene.9
The difference between float32, float16, and int8 precision
The Geekbench AI Single Precision score reports float32 precision, which is essential for those, such as medical professionals and data engineers, who want hyper-accurate image analysis and object classification. The Geekbench AI Quantized score reports int8 precision, which is accurate enough for users such as security professionals to determine whether the thing that tripped a vision-sensor is an animal or a human being. The Geekbench AI Half Precision score reports float16 precision, which is less precise than Single Precision but more precise than Quantized.
Set the pace with AI and ML technologies
AI and ML technologies are changing how business, creative, and technical professionals handle challenges. But this advancement can come at a price. AI and ML workloads are data- and processor-intensive activities. Making sure you have a powerful processor under the hood can help you cross the finish line faster.
The Geekbench AI benchmark measures CPU, GPU, and NPU capabilities for machine learning applications.10 The Single Precision score reports float32 precision, the Half Precision score reports float16 precision, and the Quantized score reports int8 precision.11 In our testing, we used the Open Neural Network Exchange (ONNX) AI framework and DirectML AI backend for machine learning on Windows.
The MLPerf ResNet-50 benchmark measures how many samples per second a system can process using the ResNet model.12 ResNet models can help users organize and categorize objects, people, and places in images.
Stable Diffusion is a generative AI model that produces photorealistic images from text prompts.13 For our tests, we measured how long it took for each mobile workstation to generate an image based on identical Stable Diffusion text prompts.
Conclusion
With the right team in your corner and the right tools at your fingertips, you can win the productivity race and cross the finish line faster. In head-to-head AI, 3D rendering, and content creation performance comparisons, an HP ZBook Power 16-inch G11 Mobile Workstation PC powered by an Intel vPro with Intel Core Ultra 7 processor 165H raced circles around its 15.6-inch predecessor. We found upgrading to the newest Intel Core Ultra processor-powered ZBook Power can help you and your team take a victory lap with image classification tasks, burn rubber while creating an image from a text prompt, and speed 3D graphics rendering tasks.
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Principled Technologies disclaimer
Principled Technologies is a registered trademark of Principled Technologies, Inc. All other product names are the trademarks of their respective owners.
DISCLAIMER OF WARRANTIES; LIMITATION OF LIABILITY: Principled Technologies, Inc. has made reasonable efforts to ensure the accuracy and validity of its testing, however, Principled Technologies, Inc. specifically disclaims any warranty, expressed or implied, relating to the test results and analysis, their accuracy, completeness or quality, including any implied warranty of fitness for any particular purpose. All persons or entities relying on the results of any testing do so at their own risk, and agree that Principled Technologies, Inc., its employees and its subcontractors shall have no liability whatsoever from any claim of loss or damage on account of any alleged error or defect in any testing procedure or result.
In no event shall Principled Technologies, Inc. be liable for indirect, special, incidental, or consequential damages in connection with its testing, even if advised of the possibility of such damages. In no event shall Principled Technologies, Inc.’s liability, including for direct damages, exceed the amounts paid in connection with Principled Technologies, Inc.’s testing. Customer’s sole and exclusive remedies are as set forth herein.