HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2741
Single Precision Score
23958
Half Precision Score
43211
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 02:46 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 | 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% |
1696
315.4 IPS |
|
|
Image Classification (HP)
|
100% |
14363
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
20694
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15475
250.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26486
429.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2936
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
81016
94.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
196057
229.7 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
14890
1.18 KIPS |
|
|
Object Detection (Q)
|
88% |
25709
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
38252
454.5 IPS |
|
|
Face Detection (Q)
|
100% |
90632
1.08 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4132
31.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
66324
512.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
147533
1.15 KIPS |
|
|
Style Transfer (SP)
|
100% |
8676
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
188919
242.9 IPS |
|
|
Style Transfer (Q)
|
98% |
365235
471.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22861
844.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
64863
2.40 KIPS |
|
|
Text Classification (SP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3123
4.17 KIPS |
|
|
Text Classification (Q)
|
92% |
3170
4.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2866
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6791
117.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8182
140.9 IPS |
