HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
6038
Single Precision Score
9181
Half Precision Score
14754
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 03:07 PM |
| Views | 3 |
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% |
4102
762.8 IPS |
|
|
Image Classification (HP)
|
100% |
6678
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
10546
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4572
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2715
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3502
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8498
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
33741
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
70589
82.7 IPS |
|
|
Object Detection (SP)
|
100% |
3127
248.0 IPS |
|
|
Object Detection (HP)
|
100% |
5536
439.1 IPS |
|
|
Object Detection (Q)
|
88% |
9596
769.3 IPS |
|
|
Face Detection (SP)
|
100% |
8718
103.6 IPS |
|
|
Face Detection (HP)
|
100% |
14740
175.1 IPS |
|
|
Face Detection (Q)
|
100% |
29939
355.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8792
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13623
105.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
25960
202.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24030
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41807
53.7 IPS |
|
|
Style Transfer (Q)
|
98% |
80034
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4553
168.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16149
596.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31964
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2304
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4144
71.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4265
73.5 IPS |
