HP HP OmniBook X Flip Laptop 14-fm0xxx
Geekbench AI Score
3120
Single Precision Score
2118
Half Precision Score
8093
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 07:29 AM |
| Views | 3 |
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 X Flip Laptop 14-fm0xxx |
| Motherboard | HP 8D9F |
| Power Plan | Tasapainotettu |
| 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% |
1909
355.0 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.2 IPS |
|
|
Image Classification (Q)
|
100% |
5096
947.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4997
81.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3330
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2195
2.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
12510
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (Q)
|
88% |
4954
397.1 IPS |
|
|
Face Detection (SP)
|
100% |
5565
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
4186
49.7 IPS |
|
|
Face Detection (Q)
|
100% |
13300
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4624
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3187
24.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
14253
110.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9543
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6153
7.91 IPS |
|
|
Style Transfer (Q)
|
98% |
35638
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2051
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1386
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7517
278.4 IPS |
|
|
Text Classification (SP)
|
100% |
2079
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4364
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2733
47.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3448
59.4 IPS |
