HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
5338
Single Precision Score
2226
Half Precision Score
9764
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:08 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% |
4295
798.8 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.5 IPS |
|
|
Image Classification (Q)
|
99% |
9092
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12335
200.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9416
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6349
7.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
31962
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3684
292.2 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
86% |
8888
714.4 IPS |
|
|
Face Detection (SP)
|
100% |
9557
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
2185
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
11428
136.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10855
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2976
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20235
161.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21096
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15050
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22915
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2855
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6511
241.1 IPS |
|
|
Text Classification (SP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1765
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2956
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4062
81.6 IPS |
