ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop K3502ZA_K3502ZA
Geekbench AI Score
1679
Single Precision Score
700
Half Precision Score
2815
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | abiditsarmah |
| Upload Date | May 18 2025 09:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop K3502ZA_K3502ZA |
| Motherboard | ASUSTeK COMPUTER INC. K3502ZA |
| Power Plan | ASUS Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1267
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (Q)
|
99% |
2505
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
479
7.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1595
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2622
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1734
2.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
7702
9.03 IPS |
|
|
Object Detection (SP)
|
100% |
1202
95.3 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
86% |
2691
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (Q)
|
97% |
4655
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3582
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1056
8.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
6131
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6310
8.11 IPS |
|
|
Style Transfer (HP)
|
100% |
4194
5.39 IPS |
|
|
Style Transfer (Q)
|
98% |
8242
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1820
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
359
479.3 IPS |
|
|
Text Classification (Q)
|
97% |
677
906.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (Q)
|
65% |
1304
26.2 IPS |
