ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA
Geekbench AI Score
1509
Single Precision Score
16602
Half Precision Score
40878
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | December 05 2025 06:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
600
111.7 IPS |
|
|
Image Classification (HP)
|
100% |
10717
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
18457
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8287
134.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22554
366.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4255
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
71616
83.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
249364
292.3 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.2 IPS |
|
|
Object Detection (HP)
|
100% |
11392
903.6 IPS |
|
|
Object Detection (Q)
|
92% |
22471
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
24044
285.7 IPS |
|
|
Face Detection (Q)
|
97% |
66847
797.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1741
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42707
329.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
109665
875.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9625
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53378
68.6 IPS |
|
|
Style Transfer (Q)
|
98% |
254267
327.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29971
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64930
2.40 KIPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2668
3.56 KIPS |
|
|
Text Classification (Q)
|
95% |
4218
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1692
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (Q)
|
67% |
10942
213.0 IPS |
