ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA
Geekbench AI Score
1503
Single Precision Score
16358
Half Precision Score
40711
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | September 10 2025 05:50 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% |
592
110.1 IPS |
|
|
Image Classification (HP)
|
100% |
10476
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
18729
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8148
132.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22415
364.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4193
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
70610
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
248349
291.1 IPS |
|
|
Object Detection (SP)
|
100% |
746
59.2 IPS |
|
|
Object Detection (HP)
|
100% |
10611
841.7 IPS |
|
|
Object Detection (Q)
|
92% |
21900
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
24342
289.2 IPS |
|
|
Face Detection (Q)
|
97% |
67816
808.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1663
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
42535
327.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
109931
877.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10428
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53155
68.3 IPS |
|
|
Style Transfer (Q)
|
98% |
250576
323.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30363
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64931
2.40 KIPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2667
3.56 KIPS |
|
|
Text Classification (Q)
|
95% |
4202
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4815
82.9 IPS |
|
|
Machine Translation (Q)
|
67% |
10747
209.2 IPS |
