ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA
Geekbench AI Score
1730
Single Precision Score
16211
Half Precision Score
36039
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | April 14 2025 12:13 PM |
| Views | 2 |
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 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA |
| Motherboard | ASUSTeK COMPUTER INC. X1607QA |
| 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% |
606
112.8 IPS |
|
|
Image Classification (HP)
|
100% |
10909
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
17950
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8204
133.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16789
273.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4076
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
70628
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
242917
284.7 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (HP)
|
100% |
11335
899.1 IPS |
|
|
Object Detection (Q)
|
92% |
19862
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
24401
289.9 IPS |
|
|
Face Detection (Q)
|
97% |
56182
669.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2062
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42295
325.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
109617
874.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9934
12.8 IPS |
|
|
Style Transfer (HP)
|
98% |
57484
74.1 IPS |
|
|
Style Transfer (Q)
|
98% |
260876
336.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1834
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30481
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66204
2.44 KIPS |
|
|
Text Classification (SP)
|
100% |
1427
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (Q)
|
95% |
3712
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3995
68.8 IPS |
|
|
Machine Translation (Q)
|
67% |
6439
125.3 IPS |
