HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
5951
Single Precision Score
6487
Half Precision Score
14392
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| 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% |
4128
767.6 IPS |
|
|
Image Classification (HP)
|
100% |
4641
863.1 IPS |
|
|
Image Classification (Q)
|
100% |
10159
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4409
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9746
158.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8483
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
7853
9.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
28591
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3034
240.7 IPS |
|
|
Object Detection (HP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (Q)
|
88% |
10836
868.6 IPS |
|
|
Face Detection (SP)
|
100% |
8752
104.0 IPS |
|
|
Face Detection (HP)
|
100% |
11634
138.2 IPS |
|
|
Face Detection (Q)
|
100% |
19482
231.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8775
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10272
79.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24711
192.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23678
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23851
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
79463
102.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4460
164.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5210
192.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15249
564.7 IPS |
|
|
Text Classification (SP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (Q)
|
92% |
5465
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6007
103.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3899
67.2 IPS |
