HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
6011
Single Precision Score
9183
Half Precision Score
15016
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 03:30 PM |
| Views | 9 |
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% |
4144
770.6 IPS |
|
|
Image Classification (HP)
|
100% |
6708
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
10514
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4533
73.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2704
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3530
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8502
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
33889
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
72590
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
2980
236.4 IPS |
|
|
Object Detection (HP)
|
100% |
5510
437.1 IPS |
|
|
Object Detection (Q)
|
88% |
9938
796.7 IPS |
|
|
Face Detection (SP)
|
100% |
8577
101.9 IPS |
|
|
Face Detection (HP)
|
100% |
14923
177.3 IPS |
|
|
Face Detection (Q)
|
100% |
31608
375.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8798
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13629
105.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
26736
208.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24402
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41988
54.0 IPS |
|
|
Style Transfer (Q)
|
98% |
80002
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4518
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16079
593.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32097
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3771
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2297
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4128
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4370
75.3 IPS |
