ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop TP3402VA_TP3402VA
Geekbench AI Score
1809
Single Precision Score
725
Half Precision Score
3431
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 20 2025 03:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop TP3402VA_TP3402VA |
| Motherboard | ASUSTeK COMPUTER INC. TP3402VA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1484
275.9 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.3 IPS |
|
|
Image Classification (Q)
|
99% |
2626
489.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
3815
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2827
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
2017
2.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
10079
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.4 IPS |
|
|
Object Detection (Q)
|
86% |
2813
226.0 IPS |
|
|
Face Detection (SP)
|
100% |
3494
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.27 IPS |
|
|
Face Detection (Q)
|
97% |
4150
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3829
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1014
7.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
6961
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7164
9.21 IPS |
|
|
Style Transfer (HP)
|
100% |
4986
6.41 IPS |
|
|
Style Transfer (Q)
|
98% |
11243
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
917
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2420
89.6 IPS |
|
|
Text Classification (SP)
|
100% |
703
938.7 IPS |
|
|
Text Classification (HP)
|
100% |
349
465.4 IPS |
|
|
Text Classification (Q)
|
97% |
682
913.8 IPS |
|
|
Machine Translation (SP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
65% |
1487
29.9 IPS |
