HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
5104
Single Precision Score
2197
Half Precision Score
9305
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 01:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4233
787.3 IPS |
|
|
Image Classification (HP)
|
100% |
814
151.3 IPS |
|
|
Image Classification (Q)
|
99% |
8528
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12390
201.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9386
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6329
7.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
31709
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
3597
285.3 IPS |
|
|
Object Detection (HP)
|
100% |
966
76.6 IPS |
|
|
Object Detection (Q)
|
86% |
9123
733.2 IPS |
|
|
Face Detection (SP)
|
100% |
9362
111.2 IPS |
|
|
Face Detection (HP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
11299
134.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10895
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2949
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19723
157.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21115
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14705
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20187
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3477
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2890
106.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4947
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
1959
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1006
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1762
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2840
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4060
81.6 IPS |
