HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench AI Score
13079
Single Precision Score
22518
Half Precision Score
10381
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 04:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN by HP Gaming Laptop 16-xd0xxx |
| Motherboard | HP 8BCD |
| 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% |
5385
1.00 KIPS |
|
|
Image Classification (HP)
|
99% |
9514
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
4992
931.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9860
159.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13654
221.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9026
146.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
60772
70.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
166933
194.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
48692
57.1 IPS |
|
|
Object Detection (SP)
|
100% |
6775
537.4 IPS |
|
|
Object Detection (HP)
|
100% |
12125
961.8 IPS |
|
|
Object Detection (Q)
|
84% |
5621
453.4 IPS |
|
|
Face Detection (SP)
|
100% |
15116
179.6 IPS |
|
|
Face Detection (HP)
|
100% |
24377
289.7 IPS |
|
|
Face Detection (Q)
|
97% |
13648
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26809
206.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
63053
485.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
23625
189.0 IPS |
|
|
Style Transfer (SP)
|
100% |
97939
125.9 IPS |
|
|
Style Transfer (HP)
|
100% |
251744
323.6 IPS |
|
|
Style Transfer (Q)
|
98% |
104277
134.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22306
823.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34680
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14938
553.1 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
2928
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1553
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3076
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1511
28.3 IPS |
