HP OMEN Gaming Laptop 16-ap0xxx
Geekbench AI Score
3448
Single Precision Score
1373
Half Precision Score
7406
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | aj7x |
| Upload Date | October 23 2025 02:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8940HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN Gaming Laptop 16-ap0xxx |
| Motherboard | HP 8E35 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3333
619.9 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.1 IPS |
|
|
Image Classification (Q)
|
99% |
6006
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9894
160.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6440
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4666
5.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
28266
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2647
210.0 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
86% |
7428
597.0 IPS |
|
|
Face Detection (SP)
|
100% |
6128
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
1156
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
8695
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6806
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1957
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14584
116.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14993
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14346
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26869
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1823
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3850
142.5 IPS |
|
|
Text Classification (SP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
669
893.6 IPS |
|
|
Text Classification (Q)
|
97% |
1073
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2830
56.9 IPS |
