ASUSTeK COMPUTER INC. ASUS Vivobook 16 X1607QA_X1607QA
Geekbench AI Score
1436
Single Precision Score
2451
Half Precision Score
5439
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | December 05 2025 06:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
504
93.7 IPS |
|
|
Image Classification (HP)
|
100% |
1438
267.4 IPS |
|
|
Image Classification (Q)
|
99% |
4046
754.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
2605
42.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5994
97.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4241
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5759
6.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
16106
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (HP)
|
99% |
1945
154.7 IPS |
|
|
Object Detection (Q)
|
86% |
4471
359.3 IPS |
|
|
Face Detection (SP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
5947
70.7 IPS |
|
|
Face Detection (Q)
|
97% |
9194
109.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1667
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3299
25.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
11169
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10355
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9950
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28225
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3457
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
439
585.7 IPS |
|
|
Text Classification (Q)
|
97% |
737
986.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1765
30.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1759
35.3 IPS |
