HP OMEN by HP Laptop 16-c0xxx
Geekbench AI Score
2352
Single Precision Score
1102
Half Precision Score
3207
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Laptop 16-c0xxx |
| Motherboard | HP 8912 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1761
327.4 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
96% |
4168
778.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
1713
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3575
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3093
3.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
8694
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
58% |
2102
229.7 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
6111
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5025
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1654
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8052
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9108
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7809
10.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12681
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1315
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2221
82.3 IPS |
|
|
Text Classification (SP)
|
100% |
1215
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
611
814.9 IPS |
|
|
Text Classification (Q)
|
97% |
356
476.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
68% |
1792
34.6 IPS |
