HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
6068
Single Precision Score
6557
Half Precision Score
14557
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:37 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% |
4202
781.5 IPS |
|
|
Image Classification (HP)
|
100% |
4820
896.3 IPS |
|
|
Image Classification (Q)
|
100% |
10548
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4608
74.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9754
158.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8462
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
7989
9.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
29233
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3165
251.0 IPS |
|
|
Object Detection (HP)
|
100% |
4352
345.2 IPS |
|
|
Object Detection (Q)
|
88% |
10648
853.6 IPS |
|
|
Face Detection (SP)
|
100% |
8592
102.1 IPS |
|
|
Face Detection (HP)
|
100% |
11880
141.2 IPS |
|
|
Face Detection (Q)
|
100% |
19633
233.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8864
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10490
80.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
24554
190.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24169
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23988
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
78710
101.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4614
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5292
195.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15571
576.6 IPS |
|
|
Text Classification (SP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (Q)
|
92% |
5968
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5900
101.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3784
65.2 IPS |
