HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3038
Single Precision Score
1329
Half Precision Score
5998
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 01:28 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2316
430.7 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
99% |
4976
928.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6800
110.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4420
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
16425
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
592
47.0 IPS |
|
|
Object Detection (Q)
|
86% |
4904
394.1 IPS |
|
|
Face Detection (SP)
|
100% |
6708
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
1529
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
7425
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6069
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1875
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11179
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10852
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8254
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21312
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4217
156.2 IPS |
|
|
Text Classification (SP)
|
100% |
1241
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
611
815.8 IPS |
|
|
Text Classification (Q)
|
97% |
1179
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2516
50.5 IPS |
