HP HP OmniBook 5 Laptop 16-ag1xxx
Geekbench AI Score
1652
Single Precision Score
917
Half Precision Score
3900
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 10:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook 5 Laptop 16-ag1xxx |
| Motherboard | HP 8DF4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1445
268.8 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (Q)
|
99% |
3447
643.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4694
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3163
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2982
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
11663
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.6 IPS |
|
|
Object Detection (HP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (Q)
|
86% |
2845
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
3872
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3058
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1233
9.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
7202
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5828
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
5450
7.01 IPS |
|
|
Style Transfer (Q)
|
98% |
15616
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
955
35.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2330
86.3 IPS |
|
|
Text Classification (SP)
|
100% |
583
778.1 IPS |
|
|
Text Classification (HP)
|
100% |
450
600.1 IPS |
|
|
Text Classification (Q)
|
97% |
856
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.12 IPS |
|
|
Machine Translation (Q)
|
65% |
1748
35.1 IPS |
