ASUSTeK COMPUTER INC. ASUS Vivobook 14 X1407QA_X1407QA
Geekbench AI Score
1744
Single Precision Score
2684
Half Precision Score
6618
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | August 14 2025 08:28 AM |
| Views | 5 |
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 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook 14 X1407QA_X1407QA |
| Motherboard | ASUSTeK COMPUTER INC. X1407QA |
| 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% |
611
113.6 IPS |
|
|
Image Classification (HP)
|
100% |
2233
415.2 IPS |
|
|
Image Classification (Q)
|
99% |
5609
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2730
44.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6494
105.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4768
5.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
16549
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (HP)
|
99% |
1311
104.3 IPS |
|
|
Object Detection (Q)
|
86% |
5756
462.6 IPS |
|
|
Face Detection (SP)
|
100% |
1701
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
6717
79.8 IPS |
|
|
Face Detection (Q)
|
97% |
10517
125.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2105
16.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3030
23.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
12631
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10352
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9974
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29626
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1824
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3606
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
647
864.0 IPS |
|
|
Text Classification (Q)
|
97% |
1091
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (HP)
|
99% |
2824
48.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3003
60.3 IPS |
