ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA
Geekbench AI Score
1500
Single Precision Score
2628
Half Precision Score
5395
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | December 05 2025 06:26 AM |
| Views | 7 |
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% |
596
110.9 IPS |
|
|
Image Classification (HP)
|
100% |
2315
430.5 IPS |
|
|
Image Classification (Q)
|
99% |
4085
761.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2686
43.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5906
96.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4255
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6599
7.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
16423
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.2 IPS |
|
|
Object Detection (HP)
|
99% |
1985
157.9 IPS |
|
|
Object Detection (Q)
|
86% |
4454
357.9 IPS |
|
|
Face Detection (SP)
|
100% |
1418
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
5954
70.8 IPS |
|
|
Face Detection (Q)
|
97% |
9088
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1665
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3081
23.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
10977
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10377
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9975
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27573
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1240
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3187
118.0 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
420
561.1 IPS |
|
|
Text Classification (Q)
|
97% |
722
966.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
99% |
2025
35.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1873
37.6 IPS |
