ASUSTeK COMPUTER INC. ASUS Vivobook 14 X1407QA_X1407QA
Geekbench AI Score
1763
Single Precision Score
2958
Half Precision Score
6701
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | August 08 2025 06:18 AM |
| Views | 4 |
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% |
610
113.4 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
99% |
5847
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2657
43.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6761
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4285
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
6253
7.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
16258
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
767
60.9 IPS |
|
|
Object Detection (HP)
|
99% |
2104
167.4 IPS |
|
|
Object Detection (Q)
|
86% |
5607
450.6 IPS |
|
|
Face Detection (SP)
|
100% |
1688
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
6925
82.3 IPS |
|
|
Face Detection (Q)
|
97% |
10981
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2116
16.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3305
25.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
13068
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10502
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10115
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29063
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3674
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
1502
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
662
883.6 IPS |
|
|
Text Classification (Q)
|
97% |
1107
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2932
50.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2990
60.1 IPS |
