ASUSTeK COMPUTER INC. VivoBook S15 X530UF
Geekbench AI Score
1630
Single Precision Score
754
Half Precision Score
2220
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | rwaver |
| Upload Date | March 07 2026 12:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook S15 X530UF |
| Motherboard | ASUSTeK COMPUTER INC. X530UF |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1214
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.8 IPS |
|
|
Image Classification (Q)
|
96% |
1645
307.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
1931
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2494
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1922
2.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
4107
4.86 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
58% |
1219
133.2 IPS |
|
|
Face Detection (SP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
96% |
3237
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3109
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1010
7.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
3977
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5942
7.64 IPS |
|
|
Style Transfer (HP)
|
100% |
4245
5.46 IPS |
|
|
Style Transfer (Q)
|
87% |
7406
9.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
950
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1814
67.2 IPS |
|
|
Text Classification (SP)
|
100% |
921
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
494
658.9 IPS |
|
|
Text Classification (Q)
|
97% |
785
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.52 IPS |
|
|
Machine Translation (Q)
|
68% |
1351
26.1 IPS |
