ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA
Geekbench AI Score
1525
Single Precision Score
2611
Half Precision Score
5397
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | December 05 2025 06:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA |
| Motherboard | ASUSTeK COMPUTER INC. X1607QA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X - X126100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 2.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
598
111.2 IPS |
|
|
Image Classification (HP)
|
100% |
2238
416.1 IPS |
|
|
Image Classification (Q)
|
99% |
4015
748.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2691
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6195
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4256
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
6636
7.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
16384
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (HP)
|
99% |
1989
158.2 IPS |
|
|
Object Detection (Q)
|
86% |
4486
360.5 IPS |
|
|
Face Detection (SP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
6040
71.8 IPS |
|
|
Face Detection (Q)
|
97% |
9141
109.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1670
12.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3237
25.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
10946
87.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10381
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9984
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28827
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3337
123.6 IPS |
|
|
Text Classification (SP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
444
592.4 IPS |
|
|
Text Classification (Q)
|
97% |
712
953.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1702
29.4 IPS |
|
|
Machine Translation (Q)
|
65% |
1675
33.7 IPS |
