HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2742
Single Precision Score
1936
Half Precision Score
7174
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 01:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 238V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 238V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
1216
226.2 IPS |
|
|
Image Classification (Q)
|
100% |
4648
864.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1866
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4375
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2920
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1980
2.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
10942
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
1183
93.9 IPS |
|
|
Object Detection (Q)
|
88% |
4654
373.1 IPS |
|
|
Face Detection (SP)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
3855
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
12177
144.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4097
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2855
22.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12660
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8756
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5750
7.39 IPS |
|
|
Style Transfer (Q)
|
98% |
32108
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1830
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1311
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6681
247.4 IPS |
|
|
Text Classification (SP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (Q)
|
92% |
3752
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2457
42.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2812
48.4 IPS |
