ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA
Geekbench AI Score
1438
Single Precision Score
16585
Half Precision Score
40579
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | December 05 2025 06:39 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% |
518
96.3 IPS |
|
|
Image Classification (HP)
|
100% |
10708
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
18173
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7933
128.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22339
363.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4252
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
71590
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
244537
286.6 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
100% |
11112
881.4 IPS |
|
|
Object Detection (Q)
|
92% |
22271
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
1426
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
24606
292.4 IPS |
|
|
Face Detection (Q)
|
97% |
66121
788.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1686
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43239
333.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
110169
879.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10376
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53797
69.2 IPS |
|
|
Style Transfer (Q)
|
98% |
256340
330.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30085
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64044
2.36 KIPS |
|
|
Text Classification (SP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2671
3.57 KIPS |
|
|
Text Classification (Q)
|
95% |
4211
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5068
87.3 IPS |
|
|
Machine Translation (Q)
|
67% |
10875
211.6 IPS |
