HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
2743
Single Precision Score
24990
Half Precision Score
44778
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | March 26 2026 02:37 PM |
| Views | 5 |
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% |
1693
314.8 IPS |
|
|
Image Classification (HP)
|
100% |
14651
2.72 KIPS |
|
|
Image Classification (Q)
|
100% |
21647
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15429
250.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26684
432.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2916
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
82879
96.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
195543
229.1 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
100% |
14997
1.19 KIPS |
|
|
Object Detection (Q)
|
88% |
25574
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4856
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
40043
475.8 IPS |
|
|
Face Detection (Q)
|
100% |
91880
1.09 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4135
31.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
73364
567.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
149513
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
8761
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
186533
239.8 IPS |
|
|
Style Transfer (Q)
|
98% |
353415
455.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27280
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64387
2.38 KIPS |
|
|
Text Classification (SP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3952
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2885
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7037
121.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9083
156.5 IPS |
