HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
5957
Single Precision Score
9102
Half Precision Score
14975
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 03:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook X G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8E1D |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3770
701.1 IPS |
|
|
Image Classification (HP)
|
100% |
6731
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
10526
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4581
74.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3522
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8467
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
33762
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72619
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (HP)
|
100% |
5528
438.5 IPS |
|
|
Object Detection (Q)
|
88% |
10043
805.1 IPS |
|
|
Face Detection (SP)
|
100% |
8423
100.1 IPS |
|
|
Face Detection (HP)
|
100% |
14894
177.0 IPS |
|
|
Face Detection (Q)
|
100% |
31422
373.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8816
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13451
103.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
26793
208.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24082
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41394
53.2 IPS |
|
|
Style Transfer (Q)
|
98% |
80169
103.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4545
167.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16079
593.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32286
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2213
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4163
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4350
74.9 IPS |
