HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2764
Single Precision Score
1920
Half Precision Score
7127
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 01:57 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% |
1680
312.4 IPS |
|
|
Image Classification (HP)
|
100% |
1207
224.5 IPS |
|
|
Image Classification (Q)
|
100% |
4676
869.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4426
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2934
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1978
2.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
11318
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
1168
92.6 IPS |
|
|
Object Detection (Q)
|
88% |
4801
384.9 IPS |
|
|
Face Detection (SP)
|
100% |
4877
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
3849
45.7 IPS |
|
|
Face Detection (Q)
|
100% |
12174
144.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4051
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2818
21.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
11227
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8786
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5608
7.21 IPS |
|
|
Style Transfer (Q)
|
98% |
32172
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6433
238.2 IPS |
|
|
Text Classification (SP)
|
100% |
1855
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (Q)
|
92% |
3789
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2882
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2808
48.4 IPS |
