HP HP OmniBook 7 Laptop 17-dc0xxx
Geekbench AI Score
2926
Single Precision Score
29748
Half Precision Score
48565
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | franzfix |
| Upload Date | January 02 2026 06:56 PM |
| Views | 8 |
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 7 Laptop 17-dc0xxx |
| Motherboard | HP 8D9C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1792
333.2 IPS |
|
|
Image Classification (HP)
|
100% |
15552
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
21558
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19544
316.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33134
537.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3254
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
110789
129.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
246669
288.9 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.4 IPS |
|
|
Object Detection (HP)
|
100% |
17025
1.35 KIPS |
|
|
Object Detection (Q)
|
88% |
27742
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
5200
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
43028
511.3 IPS |
|
|
Face Detection (Q)
|
100% |
95160
1.13 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4497
34.6 IPS |
|
|
Depth Estimation (HP)
|
92% |
81978
635.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
166095
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
9601
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237658
305.5 IPS |
|
|
Style Transfer (Q)
|
98% |
410857
529.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45873
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75393
2.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2046
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (Q)
|
92% |
3611
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7776
133.9 IPS |
|
|
Machine Translation (Q)
|
100% |
8446
145.5 IPS |
