HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2753
Single Precision Score
1921
Half Precision Score
7172
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 02:08 PM |
| Views | 4 |
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% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
1181
219.6 IPS |
|
|
Image Classification (Q)
|
100% |
4695
873.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4460
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2932
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1987
2.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
11299
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
1124
89.2 IPS |
|
|
Object Detection (Q)
|
88% |
4590
368.0 IPS |
|
|
Face Detection (SP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
3857
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
11620
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4143
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2869
22.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
12738
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8751
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5786
7.44 IPS |
|
|
Style Transfer (Q)
|
98% |
31970
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6608
244.7 IPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
3763
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2449
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2821
48.6 IPS |
