HP OMEN Laptop 15-en1xxx
Geekbench AI Score
13184
Single Precision Score
22143
Half Precision Score
9234
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 19 2026 02:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN Laptop 15-en1xxx |
| Motherboard | HP 88D2 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5473
1.02 KIPS |
|
|
Image Classification (HP)
|
99% |
8893
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
4270
794.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8392
136.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11753
190.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7035
114.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
66308
77.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
200356
233.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
55788
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
6603
523.8 IPS |
|
|
Object Detection (HP)
|
100% |
11185
887.2 IPS |
|
|
Object Detection (Q)
|
85% |
5181
417.1 IPS |
|
|
Face Detection (SP)
|
100% |
15731
186.9 IPS |
|
|
Face Detection (HP)
|
100% |
24527
291.4 IPS |
|
|
Face Detection (Q)
|
97% |
12946
154.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34469
265.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
68273
526.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
23865
191.0 IPS |
|
|
Style Transfer (SP)
|
100% |
118770
152.7 IPS |
|
|
Style Transfer (HP)
|
100% |
310835
399.6 IPS |
|
|
Style Transfer (Q)
|
98% |
95281
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21092
778.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32302
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13482
499.2 IPS |
|
|
Text Classification (SP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2649
3.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1137
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2708
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1151
21.6 IPS |
