ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1404ZA_X1404ZA
Geekbench AI Score
2528
Single Precision Score
3831
Half Precision Score
6271
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | August 08 2025 09:41 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1553
288.7 IPS |
|
|
Image Classification (HP)
|
100% |
2489
462.9 IPS |
|
|
Image Classification (Q)
|
99% |
3946
736.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5032
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5327
6.22 IPS |
|
|
Pose Estimation (HP)
|
99% |
3927
4.58 IPS |
|
|
Pose Estimation (Q)
|
97% |
17833
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (Q)
|
90% |
4010
320.6 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6041
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
11019
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5179
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9027
69.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
13104
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13256
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22749
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
39252
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3596
132.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7261
268.9 IPS |
|
|
Text Classification (SP)
|
71% |
992
1.43 KIPS |
|
|
Text Classification (HP)
|
71% |
1133
1.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1066
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1520
26.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1512
26.1 IPS |
