HP HP OmniBook 7 Laptop 17-dc0xxx
Geekbench AI Score
12221
Single Precision Score
21951
Half Precision Score
10052
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | franzfix |
| Upload Date | January 02 2026 07:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| 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% |
4686
871.4 IPS |
|
|
Image Classification (HP)
|
99% |
8755
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
4810
897.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8781
142.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12439
201.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8070
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
52405
61.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
184003
214.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
49707
58.2 IPS |
|
|
Object Detection (SP)
|
100% |
6453
511.8 IPS |
|
|
Object Detection (HP)
|
100% |
10961
869.4 IPS |
|
|
Object Detection (Q)
|
84% |
5709
460.4 IPS |
|
|
Face Detection (SP)
|
100% |
15245
181.1 IPS |
|
|
Face Detection (HP)
|
100% |
26355
313.2 IPS |
|
|
Face Detection (Q)
|
97% |
13193
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28514
219.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
62410
480.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
24697
197.6 IPS |
|
|
Style Transfer (SP)
|
100% |
94343
121.3 IPS |
|
|
Style Transfer (HP)
|
100% |
255056
327.9 IPS |
|
|
Style Transfer (Q)
|
98% |
86313
111.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20077
741.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33667
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15339
568.0 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2654
3.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1501
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1478
27.7 IPS |
