ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1405VA_X1405VA
Geekbench AI Score
3073
Single Precision Score
1318
Half Precision Score
5944
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 19 2025 10:01 AM |
| Views | 3 |
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% |
2464
458.1 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
99% |
4885
911.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6729
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5128
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3342
3.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
16310
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.1 IPS |
|
|
Object Detection (Q)
|
86% |
4884
392.5 IPS |
|
|
Face Detection (SP)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
7446
88.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6399
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1860
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11846
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11743
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8684
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14251
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4703
174.1 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.1 IPS |
|
|
Text Classification (Q)
|
97% |
1373
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1782
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2592
52.1 IPS |
