ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2412
Single Precision Score
8873
Half Precision Score
13542
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | May 09 2025 08:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA |
| Motherboard | ASUSTeK COMPUTER INC. S5506MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1456
270.8 IPS |
|
|
Image Classification (HP)
|
100% |
6265
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8671
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2483
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3114
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3344
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
30460
35.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
66625
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
100% |
5412
429.3 IPS |
|
|
Object Detection (Q)
|
87% |
8871
712.0 IPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
15442
183.5 IPS |
|
|
Face Detection (Q)
|
100% |
29511
350.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3684
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17384
133.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
32446
252.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9516
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
47827
61.5 IPS |
|
|
Style Transfer (Q)
|
98% |
88637
114.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12672
467.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21159
783.6 IPS |
|
|
Text Classification (SP)
|
100% |
1954
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1879
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1855
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3860
66.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3902
67.2 IPS |
