HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
5975
Single Precision Score
9174
Half Precision Score
14934
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 03:36 PM |
| Views | 7 |
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% |
4123
766.8 IPS |
|
|
Image Classification (HP)
|
100% |
6620
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
10319
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4479
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3532
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8431
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
33804
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72293
84.7 IPS |
|
|
Object Detection (SP)
|
100% |
3020
239.6 IPS |
|
|
Object Detection (HP)
|
100% |
5499
436.2 IPS |
|
|
Object Detection (Q)
|
88% |
10019
803.2 IPS |
|
|
Face Detection (SP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (HP)
|
100% |
14803
175.9 IPS |
|
|
Face Detection (Q)
|
100% |
31465
373.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8786
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13787
106.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
26733
208.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23357
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42024
54.0 IPS |
|
|
Style Transfer (Q)
|
98% |
80157
103.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4542
167.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16110
594.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31875
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3787
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2224
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4112
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4128
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4374
75.3 IPS |
