HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
5815
Single Precision Score
5829
Half Precision Score
12847
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 02:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13850HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook Fury 16 G11 Mobile Workstation PC |
| Motherboard | HP 8CA4 |
| Power Plan | UoA-Power Plan-Peak-System on and monitor on |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13850HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4027
748.9 IPS |
|
|
Image Classification (HP)
|
100% |
3964
737.3 IPS |
|
|
Image Classification (Q)
|
100% |
8670
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4956
80.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5079
82.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9628
156.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7202
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
7195
8.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
25641
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
3393
269.2 IPS |
|
|
Object Detection (HP)
|
100% |
3411
270.6 IPS |
|
|
Object Detection (Q)
|
88% |
8588
688.4 IPS |
|
|
Face Detection (SP)
|
100% |
9824
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
6674
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
21133
251.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5889
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9067
69.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
23020
179.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20810
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20740
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
41972
54.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4403
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4398
162.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14542
538.5 IPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (Q)
|
92% |
4813
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4833
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4726
81.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4662
80.3 IPS |
