ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
8653
Single Precision Score
13935
Half Precision Score
21023
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | July 20 2025 06:46 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
6187
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
9185
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
10821
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5227
84.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13224
214.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19234
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25048
29.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
23444
27.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
81801
95.8 IPS |
|
|
Object Detection (SP)
|
100% |
5642
447.5 IPS |
|
|
Object Detection (HP)
|
100% |
9452
749.8 IPS |
|
|
Object Detection (Q)
|
88% |
13669
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
10618
126.2 IPS |
|
|
Face Detection (HP)
|
100% |
21584
256.5 IPS |
|
|
Face Detection (Q)
|
100% |
35161
417.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20250
156.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
34365
265.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
40693
316.3 IPS |
|
|
Style Transfer (SP)
|
100% |
58628
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
75194
96.7 IPS |
|
|
Style Transfer (Q)
|
98% |
185083
238.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9292
343.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16149
596.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24070
891.4 IPS |
|
|
Text Classification (SP)
|
71% |
1578
2.28 KIPS |
|
|
Text Classification (HP)
|
71% |
2705
3.91 KIPS |
|
|
Text Classification (Q)
|
92% |
2630
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4212
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4323
74.7 IPS |
