HP HP OmniBook 5 Laptop 16-ag1xxx
Geekbench AI Score
3111
Single Precision Score
1646
Half Precision Score
7264
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 06:06 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.6 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.9 IPS |
|
|
Image Classification (Q)
|
99% |
5327
993.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1090
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6069
98.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3483
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3876
4.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
19317
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
833
66.0 IPS |
|
|
Object Detection (Q)
|
86% |
6745
542.1 IPS |
|
|
Face Detection (SP)
|
100% |
4951
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
9528
113.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6672
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2436
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
14690
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11525
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9812
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25225
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4403
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
2023
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1059
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1910
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2424
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3274
65.8 IPS |
