ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1502ZA_X1502ZA
Geekbench AI Score
2371
Single Precision Score
1020
Half Precision Score
4725
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Melkon |
| Upload Date | August 06 2025 02:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1502ZA_X1502ZA |
| Motherboard | ASUSTeK COMPUTER INC. X1502ZA |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1833
340.8 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
3601
671.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5605
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4020
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2832
3.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
12496
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (Q)
|
86% |
3705
297.7 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
6182
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5079
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1441
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9301
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9078
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6927
8.90 IPS |
|
|
Style Transfer (Q)
|
98% |
12359
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
521
695.3 IPS |
|
|
Text Classification (Q)
|
97% |
1140
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2010
40.4 IPS |
