HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
10263
Single Precision Score
29075
Half Precision Score
34372
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 02:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (16GB) (iGPU) |
| 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% |
6564
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
14181
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
19084
3.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9182
148.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26893
436.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30776
498.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20420
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
117099
136.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
223618
261.8 IPS |
|
|
Object Detection (SP)
|
100% |
6018
477.3 IPS |
|
|
Object Detection (HP)
|
100% |
16710
1.33 KIPS |
|
|
Object Detection (Q)
|
88% |
21853
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
13704
162.8 IPS |
|
|
Face Detection (HP)
|
100% |
34234
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
48001
570.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21058
162.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52162
401.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
61291
476.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51471
66.2 IPS |
|
|
Style Transfer (HP)
|
100% |
195792
251.7 IPS |
|
|
Style Transfer (Q)
|
98% |
276912
357.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8756
323.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39751
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43251
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5785
7.72 KIPS |
|
|
Text Classification (Q)
|
92% |
3041
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7197
124.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7486
129.0 IPS |
