HP OMEN by HP 16.1 inch Gaming Laptop PC
Geekbench AI Score
5332
Single Precision Score
5249
Half Precision Score
15342
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cyberkunju |
| Upload Date | April 02 2025 06:45 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP OMEN by HP 16.1 inch Gaming Laptop PC |
| Motherboard | HP 8BCA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3481
647.4 IPS |
|
|
Image Classification (HP)
|
100% |
3506
652.0 IPS |
|
|
Image Classification (Q)
|
100% |
11209
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3612
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4193
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10489
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7245
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
7439
8.68 IPS |
|
|
Pose Estimation (Q)
|
98% |
30737
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
3069
243.4 IPS |
|
|
Object Detection (HP)
|
100% |
3124
247.8 IPS |
|
|
Object Detection (Q)
|
88% |
10491
841.0 IPS |
|
|
Face Detection (SP)
|
100% |
6055
71.9 IPS |
|
|
Face Detection (HP)
|
100% |
5542
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
25013
297.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8765
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8826
68.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
26303
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20508
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20536
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75645
97.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3862
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13208
489.1 IPS |
|
|
Text Classification (SP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2831
3.78 KIPS |
|
|
Text Classification (Q)
|
92% |
5453
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4444
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5317
91.6 IPS |
