ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1502ZA_X1502ZA
Geekbench AI Score
1875
Single Precision Score
829
Half Precision Score
2926
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lakita_1130 |
| Upload Date | December 20 2024 02:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1220P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1502ZA_X1502ZA |
| Motherboard | ASUSTeK COMPUTER INC. X1502ZA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1220P |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1410
262.3 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.7 IPS |
|
|
Image Classification (Q)
|
99% |
3216
599.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1661
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2951
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1773
2.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
8617
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.0 IPS |
|
|
Object Detection (Q)
|
86% |
2600
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
2313
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
892
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
4631
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4004
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1171
9.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
7022
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6404
8.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4524
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
8616
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2364
87.5 IPS |
|
|
Text Classification (SP)
|
100% |
1068
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.3 IPS |
|
|
Text Classification (Q)
|
97% |
419
561.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
65% |
1388
27.9 IPS |
