HP HP OmniBook X Flip Laptop 14-fm0xxx
Geekbench AI Score
2505
Single Precision Score
1276
Half Precision Score
4961
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 07:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1775
330.0 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
99% |
3955
737.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2431
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3111
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2656
3.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
11925
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (Q)
|
86% |
4153
333.8 IPS |
|
|
Face Detection (SP)
|
100% |
5221
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
6858
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4478
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10230
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8012
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6532
8.40 IPS |
|
|
Style Transfer (Q)
|
98% |
17295
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1683
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3287
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
1268
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
663
885.1 IPS |
|
|
Text Classification (Q)
|
97% |
1660
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2870
57.7 IPS |
