ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA
Geekbench AI Score
1747
Single Precision Score
16392
Half Precision Score
37861
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | July 10 2025 09:10 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 (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% |
625
116.2 IPS |
|
|
Image Classification (HP)
|
100% |
10847
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
17859
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7964
129.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20411
331.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4214
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
70634
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
243728
285.7 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (HP)
|
100% |
11671
925.8 IPS |
|
|
Object Detection (Q)
|
92% |
20877
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
24128
286.7 IPS |
|
|
Face Detection (Q)
|
97% |
58643
699.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2096
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41833
322.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
107015
854.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10120
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54361
69.9 IPS |
|
|
Style Transfer (Q)
|
98% |
244071
314.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30041
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64412
2.38 KIPS |
|
|
Text Classification (SP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2642
3.53 KIPS |
|
|
Text Classification (Q)
|
95% |
3862
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4519
77.8 IPS |
|
|
Machine Translation (Q)
|
67% |
8566
166.7 IPS |
