HP OMEN Gaming Laptop 16-ap0xxx
Geekbench AI Score
3807
Single Precision Score
2034
Half Precision Score
8859
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 06 2025 04:54 PM |
| Views | 5 |
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 OMEN Gaming Laptop 16-ap0xxx |
| Motherboard | HP 8D26 |
| 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% |
3200
595.0 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.1 IPS |
|
|
Image Classification (Q)
|
99% |
8305
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9941
161.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5813
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
5035
5.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
22821
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
3119
247.4 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
86% |
7930
637.3 IPS |
|
|
Face Detection (SP)
|
100% |
4906
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
10692
127.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7742
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2856
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17350
138.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13993
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12938
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26299
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2548
94.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5090
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1195
1.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2128
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2605
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3773
75.8 IPS |
