ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
5208
Single Precision Score
8337
Half Precision Score
3723
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | July 20 2025 06:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA |
| Motherboard | ASUSTeK COMPUTER INC. S5606MA |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2646
492.1 IPS |
|
|
Image Classification (HP)
|
100% |
5032
935.7 IPS |
|
|
Image Classification (Q)
|
100% |
2302
428.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3354
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7980
129.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2712
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15083
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20651
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13032
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2865
227.3 IPS |
|
|
Object Detection (HP)
|
99% |
5533
440.1 IPS |
|
|
Object Detection (Q)
|
86% |
2261
181.8 IPS |
|
|
Face Detection (SP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
9793
116.4 IPS |
|
|
Face Detection (Q)
|
97% |
3765
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10705
82.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
22491
173.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
8452
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47051
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72227
92.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33875
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7652
282.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12258
452.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4144
153.5 IPS |
|
|
Text Classification (SP)
|
86% |
877
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
84% |
620
841.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2377
40.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1005
18.9 IPS |
