ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA
Geekbench AI Score
1529
Single Precision Score
16586
Half Precision Score
40804
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | December 05 2025 06:37 AM |
| Views | 4 |
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% |
591
109.9 IPS |
|
|
Image Classification (HP)
|
100% |
10722
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
18487
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8098
131.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22521
366.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4211
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
71040
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
249241
292.1 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (HP)
|
100% |
11226
890.5 IPS |
|
|
Object Detection (Q)
|
92% |
21708
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
1419
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
24768
294.3 IPS |
|
|
Face Detection (Q)
|
97% |
67910
809.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1723
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42450
327.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
110548
882.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10405
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53351
68.6 IPS |
|
|
Style Transfer (Q)
|
98% |
255591
329.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30329
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65192
2.41 KIPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (Q)
|
95% |
4222
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5000
86.1 IPS |
|
|
Machine Translation (Q)
|
67% |
10756
209.3 IPS |
