HP HP OmniBook 5 Laptop 16-af1xxx
Geekbench AI Score
2453
Single Precision Score
917
Half Precision Score
4582
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 08:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook 5 Laptop 16-af1xxx |
| Motherboard | HP 8E0C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
99% |
4598
857.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2893
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4033
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
13158
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1884
149.4 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
86% |
4305
346.0 IPS |
|
|
Face Detection (SP)
|
100% |
4857
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
6988
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5021
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1199
9.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
10198
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7589
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
4670
6.00 IPS |
|
|
Style Transfer (Q)
|
98% |
12432
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2726
101.0 IPS |
|
|
Text Classification (SP)
|
100% |
1213
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
550
733.7 IPS |
|
|
Text Classification (Q)
|
97% |
1158
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
65% |
1936
38.9 IPS |
