ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1605VAP
Geekbench AI Score
1556
Single Precision Score
529
Half Precision Score
1373
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 04:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 5 120U |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1605VAP |
| Motherboard | ASUSTeK COMPUTER INC. X1605VAP |
| CPU Information | |
|---|---|
| Name | Intel Core 5 120U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1654
307.6 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (Q)
|
99% |
1060
197.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1337
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2105
2.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
2598
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
1645
130.5 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
86% |
1306
104.9 IPS |
|
|
Face Detection (SP)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
555
6.60 IPS |
|
|
Face Detection (Q)
|
97% |
2221
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4379
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1273
9.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
2508
20.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8068
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
2339
3.01 IPS |
|
|
Style Transfer (Q)
|
98% |
4868
6.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1013
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
527
704.0 IPS |
|
|
Text Classification (HP)
|
100% |
236
315.2 IPS |
|
|
Text Classification (Q)
|
97% |
218
292.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1371
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (Q)
|
65% |
832
16.7 IPS |
