HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2718
Single Precision Score
1933
Half Precision Score
7029
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 02:00 PM |
| Views | 6 |
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% |
1561
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
1217
226.3 IPS |
|
|
Image Classification (Q)
|
100% |
4285
796.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4445
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2933
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1988
2.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
11262
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1622
128.7 IPS |
|
|
Object Detection (HP)
|
100% |
1159
91.9 IPS |
|
|
Object Detection (Q)
|
88% |
4616
370.0 IPS |
|
|
Face Detection (SP)
|
100% |
4942
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (Q)
|
100% |
11335
134.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4103
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2890
22.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
12104
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8773
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5756
7.40 IPS |
|
|
Style Transfer (Q)
|
98% |
31293
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6574
243.5 IPS |
|
|
Text Classification (SP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1331
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
3735
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2920
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2420
41.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2823
48.6 IPS |
