HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
5260
Single Precision Score
2183
Half Precision Score
9549
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:02 PM |
| Views | 13 |
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% |
4133
768.7 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.8 IPS |
|
|
Image Classification (Q)
|
99% |
8836
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12358
200.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9557
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
6252
7.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
31209
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3708
294.1 IPS |
|
|
Object Detection (HP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (Q)
|
86% |
9097
731.1 IPS |
|
|
Face Detection (SP)
|
100% |
9632
114.4 IPS |
|
|
Face Detection (HP)
|
100% |
2176
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
11512
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11291
87.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2923
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
20025
159.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21165
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15123
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22308
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3392
125.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2934
108.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6420
237.7 IPS |
|
|
Text Classification (SP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1625
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3791
76.2 IPS |
