HP OMEN Gaming Laptop 16-ap0xxx
Geekbench AI Score
3895
Single Precision Score
1440
Half Precision Score
7973
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hdo62 |
| Upload Date | September 13 2025 04:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 8940HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN Gaming Laptop 16-ap0xxx |
| Motherboard | HP 8E35 |
| Power Plan | Ausbalanciert |
| 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% |
3889
723.3 IPS |
|
|
Image Classification (HP)
|
100% |
575
106.9 IPS |
|
|
Image Classification (Q)
|
99% |
8500
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11888
193.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9232
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6139
7.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
23067
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
2901
230.1 IPS |
|
|
Object Detection (HP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (Q)
|
86% |
7606
611.3 IPS |
|
|
Face Detection (SP)
|
100% |
6205
73.7 IPS |
|
|
Face Detection (HP)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
8968
106.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8215
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1870
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14997
119.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16026
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15472
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27052
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1981
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
1039
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
594
792.5 IPS |
|
|
Text Classification (Q)
|
97% |
1203
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2184
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3832
77.0 IPS |
