HP HP OmniBook X Laptop 16-bg0xxx
Geekbench AI Score
4514
Single Precision Score
37823
Half Precision Score
56222
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| Upload Date | February 13 2026 07:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook X Laptop 16-bg0xxx |
| Motherboard | HP 8E60 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra X7 358H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2784
517.7 IPS |
|
|
Image Classification (HP)
|
100% |
22947
4.27 KIPS |
|
|
Image Classification (Q)
|
100% |
27859
5.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3404
55.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14937
242.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22597
367.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5529
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
120885
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
274490
321.7 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
100% |
24843
1.97 KIPS |
|
|
Object Detection (Q)
|
87% |
33761
2.71 KIPS |
|
|
Face Detection (SP)
|
100% |
7903
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
58346
693.3 IPS |
|
|
Face Detection (Q)
|
100% |
84847
1.01 KIPS |
|
|
Depth Estimation (SP)
|
100% |
6742
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94096
725.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
181621
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
15368
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245252
315.3 IPS |
|
|
Style Transfer (Q)
|
98% |
395494
510.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3081
113.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63733
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
111705
4.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
92% |
4787
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15998
275.6 IPS |
|
|
Machine Translation (Q)
|
100% |
16599
285.9 IPS |
