ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1404ZA_X1404ZA
Geekbench AI Score
1524
Single Precision Score
1475
Half Precision Score
3597
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | August 08 2025 09:29 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i3-1215U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1404ZA_X1404ZA |
| Motherboard | ASUSTeK COMPUTER INC. X1404ZA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1215U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
748
139.1 IPS |
|
|
Image Classification (HP)
|
100% |
786
146.2 IPS |
|
|
Image Classification (Q)
|
100% |
2123
394.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2038
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1962
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1665
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
5729
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
839
66.6 IPS |
|
|
Object Detection (HP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (Q)
|
88% |
2304
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2066
24.5 IPS |
|
|
Face Detection (Q)
|
100% |
5055
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2324
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2291
17.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
5875
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5628
7.23 IPS |
|
|
Style Transfer (HP)
|
100% |
5779
7.43 IPS |
|
|
Style Transfer (Q)
|
98% |
16495
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3665
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
2407
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1510
26.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1473
25.4 IPS |
