HP OMEN by HP 16.1 inch Gaming Laptop PC
Geekbench AI Score
2787
Single Precision Score
1300
Half Precision Score
5663
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cyberkunju |
| Upload Date | April 02 2025 06:40 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| 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% |
2220
412.8 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.8 IPS |
|
|
Image Classification (Q)
|
99% |
7995
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3362
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5556
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4534
5.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
17966
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (Q)
|
86% |
6201
498.4 IPS |
|
|
Face Detection (SP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
1289
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
8812
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5689
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1969
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6578
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10945
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9146
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19983
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2355
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1602
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
705
941.5 IPS |
|
|
Text Classification (Q)
|
97% |
1693
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2456
49.4 IPS |
