HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
3091
Single Precision Score
22870
Half Precision Score
35751
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 13 2025 12:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1901
353.6 IPS |
|
|
Image Classification (HP)
|
100% |
11515
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
16770
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15686
254.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31256
506.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3262
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
100107
116.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
200267
234.6 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
100% |
15803
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
23373
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
5454
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
27813
330.5 IPS |
|
|
Face Detection (Q)
|
100% |
64146
762.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4493
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
65769
506.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
108500
844.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9403
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
195274
251.0 IPS |
|
|
Style Transfer (Q)
|
98% |
297761
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32814
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58387
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2719
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4226
72.8 IPS |
