HP OMEN by HP Transcend Gaming Laptop 16-u0xxx
Geekbench AI Score
1600
Single Precision Score
1694
Half Precision Score
1094
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 02:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP OMEN by HP Transcend Gaming Laptop 16-u0xxx |
| Motherboard | HP 8BB3 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
710
132.1 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.8 IPS |
|
|
Image Classification (Q)
|
100% |
604
112.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
760
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3958
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
5046
5.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
2871
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (HP)
|
98% |
673
53.5 IPS |
|
|
Object Detection (Q)
|
86% |
661
53.1 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
1203
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3016
23.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3351
25.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2233
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10541
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14383
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7888
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1718
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2416
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
892
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.6 IPS |
|
|
Text Classification (Q)
|
97% |
393
526.2 IPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
70% |
380
7.13 IPS |
