HP HP OmniBook X Flip Laptop 14-fm0xxx
Geekbench AI Score
3196
Single Precision Score
1446
Half Precision Score
6473
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 04:45 PM |
| Views | 7 |
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 | Equilibrado |
| 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% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.0 IPS |
|
|
Image Classification (Q)
|
99% |
5439
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7340
119.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4859
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3483
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
17488
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
86% |
5332
428.5 IPS |
|
|
Face Detection (SP)
|
100% |
6521
77.5 IPS |
|
|
Face Detection (HP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
8351
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6214
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2006
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13032
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11667
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8813
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21015
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2271
83.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4776
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
1452
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
678
904.9 IPS |
|
|
Text Classification (Q)
|
97% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2434
48.9 IPS |
