HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench AI Score
17148
Single Precision Score
29401
Half Precision Score
13552
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 08:33 PM |
| Views | 3 |
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 | High performance |
| 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% |
6977
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
12177
2.27 KIPS |
|
|
Image Classification (Q)
|
99% |
6388
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12541
203.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17789
288.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11288
183.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
84633
98.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
240534
280.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
76176
89.3 IPS |
|
|
Object Detection (SP)
|
100% |
8251
654.5 IPS |
|
|
Object Detection (HP)
|
100% |
15703
1.25 KIPS |
|
|
Object Detection (Q)
|
84% |
7560
609.7 IPS |
|
|
Face Detection (SP)
|
100% |
21098
250.7 IPS |
|
|
Face Detection (HP)
|
100% |
33442
397.4 IPS |
|
|
Face Detection (Q)
|
97% |
18188
216.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
40141
309.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80513
620.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
32348
258.8 IPS |
|
|
Style Transfer (SP)
|
100% |
134412
172.8 IPS |
|
|
Style Transfer (HP)
|
100% |
338349
435.0 IPS |
|
|
Style Transfer (Q)
|
98% |
121731
157.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27185
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45131
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20924
774.8 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3469
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1846
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4137
71.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1820
34.1 IPS |
