HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2749
Single Precision Score
1936
Half Precision Score
7135
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 02:06 PM |
| Views | 9 |
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% |
1700
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
1218
226.6 IPS |
|
|
Image Classification (Q)
|
100% |
4665
867.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4513
73.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1994
2.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
11232
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
100% |
1178
93.4 IPS |
|
|
Object Detection (Q)
|
88% |
4646
372.4 IPS |
|
|
Face Detection (SP)
|
100% |
4841
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
11826
140.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4057
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2905
22.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11980
93.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8779
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5756
7.40 IPS |
|
|
Style Transfer (Q)
|
98% |
32138
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1881
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6495
240.5 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
3794
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2877
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2775
47.8 IPS |
