HP HP OmniBook 7 Laptop 17-dc0xxx
Geekbench AI Score
8326
Single Precision Score
16416
Half Precision Score
5488
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | franzfix |
| Upload Date | January 02 2026 06:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
4333
805.8 IPS |
|
|
Image Classification (HP)
|
100% |
6016
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
3371
626.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7282
118.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14700
238.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5052
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21532
25.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
96251
112.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17528
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
5326
422.4 IPS |
|
|
Object Detection (HP)
|
100% |
9568
758.9 IPS |
|
|
Object Detection (Q)
|
88% |
4133
331.4 IPS |
|
|
Face Detection (SP)
|
100% |
10128
120.3 IPS |
|
|
Face Detection (HP)
|
100% |
19933
236.9 IPS |
|
|
Face Detection (Q)
|
97% |
7184
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20140
155.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43530
335.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
13101
104.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53877
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
182673
234.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39745
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9693
357.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18978
700.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5329
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
1246
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (Q)
|
97% |
772
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1306
24.5 IPS |
