HP OMEN by HP Gaming Laptop 16-xd0xxx
Geekbench AI Score
13673
Single Precision Score
23445
Half Precision Score
10721
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | mayanksonu11 |
| Upload Date | March 08 2026 08:54 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
5571
1.04 KIPS |
|
|
Image Classification (HP)
|
99% |
9853
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
5072
946.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10727
173.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15457
250.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9655
157.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
65297
76.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
209664
244.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57814
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
7132
565.7 IPS |
|
|
Object Detection (HP)
|
100% |
11829
938.3 IPS |
|
|
Object Detection (Q)
|
84% |
6274
506.0 IPS |
|
|
Face Detection (SP)
|
100% |
16272
193.3 IPS |
|
|
Face Detection (HP)
|
100% |
25988
308.8 IPS |
|
|
Face Detection (Q)
|
97% |
12671
151.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
32524
250.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
65465
504.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
24234
193.9 IPS |
|
|
Style Transfer (SP)
|
100% |
109323
140.5 IPS |
|
|
Style Transfer (HP)
|
100% |
273854
352.0 IPS |
|
|
Style Transfer (Q)
|
98% |
99056
127.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20913
772.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33448
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16351
605.4 IPS |
|
|
Text Classification (SP)
|
100% |
1991
2.66 KIPS |
|
|
Text Classification (HP)
|
99% |
2379
3.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1385
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1640
30.8 IPS |
