HP OMEN Gaming Laptop 16-ap0xxx
Geekbench AI Score
7666
Single Precision Score
7789
Half Precision Score
19135
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 09:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
4465
830.4 IPS |
|
|
Image Classification (HP)
|
100% |
4548
845.7 IPS |
|
|
Image Classification (Q)
|
100% |
11539
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5791
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5911
95.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16541
268.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10751
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10701
12.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
48548
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
4677
371.0 IPS |
|
|
Object Detection (HP)
|
100% |
4801
380.8 IPS |
|
|
Object Detection (Q)
|
88% |
12261
982.8 IPS |
|
|
Face Detection (SP)
|
100% |
11961
142.1 IPS |
|
|
Face Detection (HP)
|
100% |
12250
145.6 IPS |
|
|
Face Detection (Q)
|
100% |
31442
373.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12199
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12360
95.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
36790
286.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30962
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31328
40.3 IPS |
|
|
Style Transfer (Q)
|
98% |
117177
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6680
246.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6603
243.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19559
724.4 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (Q)
|
92% |
3846
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5431
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5407
93.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5682
97.9 IPS |
