HP OMEN by HP Transcend Gaming Laptop 16-u0xxx
Geekbench AI Score
3710
Single Precision Score
1366
Half Precision Score
6146
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 11:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700HX |
| 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% |
2884
536.3 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.5 IPS |
|
|
Image Classification (Q)
|
99% |
5153
961.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3073
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6508
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3832
4.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
22075
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
86% |
5477
440.2 IPS |
|
|
Face Detection (SP)
|
100% |
7569
89.9 IPS |
|
|
Face Detection (HP)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
8223
98.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8399
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1912
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
13720
109.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15820
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9592
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23029
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4027
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
653
871.7 IPS |
|
|
Text Classification (Q)
|
97% |
1419
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1756
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2706
54.4 IPS |
