HP HP OmniBook X Flip Laptop 16-as0xxx
Geekbench AI Score
2201
Single Precision Score
1172
Half Precision Score
4541
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 03:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP OmniBook X Flip Laptop 16-as0xxx |
| Motherboard | HP 8DA1 |
| 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% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.5 IPS |
|
|
Image Classification (Q)
|
99% |
3369
628.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1727
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2447
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2132
2.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
10675
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
86% |
3840
308.6 IPS |
|
|
Face Detection (SP)
|
100% |
4744
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
6714
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3995
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1752
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9853
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7345
9.44 IPS |
|
|
Style Transfer (HP)
|
100% |
5934
7.63 IPS |
|
|
Style Transfer (Q)
|
98% |
16262
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3486
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
1220
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
685
914.5 IPS |
|
|
Text Classification (Q)
|
97% |
1538
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2003
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2715
54.6 IPS |
