HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2724
Single Precision Score
25891
Half Precision Score
44803
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 02:32 PM |
| Views | 8 |
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
315.5 IPS |
|
|
Image Classification (HP)
|
100% |
16482
3.07 KIPS |
|
|
Image Classification (Q)
|
100% |
22464
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14751
239.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26043
422.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2944
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
82992
96.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
191365
224.2 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
15670
1.24 KIPS |
|
|
Object Detection (Q)
|
88% |
26459
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4912
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
39642
471.0 IPS |
|
|
Face Detection (Q)
|
100% |
94382
1.12 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4064
31.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
76396
590.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
149718
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
8796
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202468
260.3 IPS |
|
|
Style Transfer (Q)
|
98% |
348939
450.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1840
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26729
987.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
63244
2.34 KIPS |
|
|
Text Classification (SP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (Q)
|
92% |
3741
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2729
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7877
135.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9431
162.4 IPS |
