HP OMEN by HP Transcend Gaming Laptop 16-u0xxx
Geekbench AI Score
3801
Single Precision Score
1389
Half Precision Score
6330
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 21 2025 05:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP OMEN by HP Transcend Gaming Laptop 16-u0xxx |
| Motherboard | HP 8BB3 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3016
560.9 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
99% |
5941
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3054
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6005
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3986
4.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
20917
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2742
217.5 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
86% |
5925
476.2 IPS |
|
|
Face Detection (SP)
|
100% |
7159
85.1 IPS |
|
|
Face Detection (HP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
8587
102.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8419
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1909
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14298
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15215
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10458
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20863
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2715
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3810
141.1 IPS |
|
|
Text Classification (SP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
680
908.1 IPS |
|
|
Text Classification (Q)
|
97% |
1443
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3265
65.6 IPS |
