HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
6006
Single Precision Score
6347
Half Precision Score
14471
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:25 PM |
| Views | 8 |
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% |
4065
756.0 IPS |
|
|
Image Classification (HP)
|
100% |
4712
876.4 IPS |
|
|
Image Classification (Q)
|
100% |
10393
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4497
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9381
152.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8488
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
8098
9.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
29431
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3014
239.1 IPS |
|
|
Object Detection (HP)
|
100% |
4251
337.2 IPS |
|
|
Object Detection (Q)
|
88% |
10994
881.3 IPS |
|
|
Face Detection (SP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (HP)
|
100% |
11705
139.1 IPS |
|
|
Face Detection (Q)
|
100% |
18880
224.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8755
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10299
79.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
24760
192.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23966
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23690
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
78601
101.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4500
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5195
191.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15439
571.8 IPS |
|
|
Text Classification (SP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (Q)
|
92% |
5808
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4079
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6015
103.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3876
66.8 IPS |
