HP HP OmniBook Ultra Flip Laptop 14-fh0xxx
Geekbench AI Score
2834
Single Precision Score
1972
Half Precision Score
7331
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rizzalli |
| Upload Date | September 22 2025 07:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1801
334.9 IPS |
|
|
Image Classification (HP)
|
100% |
1201
223.4 IPS |
|
|
Image Classification (Q)
|
100% |
5164
960.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4780
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3162
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2124
2.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
10638
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1651
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (Q)
|
88% |
5232
419.4 IPS |
|
|
Face Detection (SP)
|
100% |
5252
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
4195
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
11988
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4101
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3047
23.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
12381
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7094
9.12 IPS |
|
|
Style Transfer (HP)
|
100% |
4965
6.38 IPS |
|
|
Style Transfer (Q)
|
98% |
23924
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1108
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6855
253.9 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4313
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3109
53.6 IPS |
