HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
5993
Single Precision Score
9160
Half Precision Score
14973
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 03:33 PM |
| Views | 12 |
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% |
4050
753.2 IPS |
|
|
Image Classification (HP)
|
100% |
6787
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
10501
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4482
72.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2699
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3549
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8468
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
33864
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
72529
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
3039
241.1 IPS |
|
|
Object Detection (HP)
|
100% |
5501
436.4 IPS |
|
|
Object Detection (Q)
|
88% |
10016
803.0 IPS |
|
|
Face Detection (SP)
|
100% |
8756
104.0 IPS |
|
|
Face Detection (HP)
|
100% |
14916
177.2 IPS |
|
|
Face Detection (Q)
|
100% |
31450
373.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8626
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13556
104.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
26766
208.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24033
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
42055
54.1 IPS |
|
|
Style Transfer (Q)
|
98% |
80336
103.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4535
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16109
594.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32343
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
2240
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4102
70.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4272
73.6 IPS |
