HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2745
Single Precision Score
24116
Half Precision Score
43734
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 02:48 PM |
| Views | 6 |
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% |
1697
315.7 IPS |
|
|
Image Classification (HP)
|
100% |
14906
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
20588
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14484
234.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26577
430.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2929
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
81392
95.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
195579
229.1 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
100% |
15168
1.20 KIPS |
|
|
Object Detection (Q)
|
88% |
25393
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4771
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
42540
505.5 IPS |
|
|
Face Detection (Q)
|
100% |
92689
1.10 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4098
31.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
65872
509.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
149467
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
8724
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
188077
241.8 IPS |
|
|
Style Transfer (Q)
|
98% |
367596
474.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22827
842.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
62998
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3153
4.21 KIPS |
|
|
Text Classification (Q)
|
92% |
3667
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2848
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6583
113.4 IPS |
|
|
Machine Translation (Q)
|
100% |
8007
137.9 IPS |
