ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1405VA_X1405VA
Geekbench AI Score
3101
Single Precision Score
1318
Half Precision Score
5956
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 01:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1405VA_X1405VA |
| Motherboard | ASUSTeK COMPUTER INC. X1405VA |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2489
462.9 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.0 IPS |
|
|
Image Classification (Q)
|
99% |
4836
901.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6719
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5080
5.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3338
3.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
16402
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
5149
413.8 IPS |
|
|
Face Detection (SP)
|
100% |
4537
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
1346
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7346
87.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6324
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1862
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11507
91.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11564
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8567
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14014
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2313
85.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4715
174.6 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
651
869.3 IPS |
|
|
Text Classification (Q)
|
97% |
1389
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2643
53.1 IPS |
