ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
3363
Single Precision Score
1303
Half Precision Score
2557
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | abhimanbhau |
| Upload Date | August 30 2024 10:05 PM |
| Views | 5 |
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 | 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
0% |
0
812.6 IPS |
|
|
Image Classification (Q)
|
100% |
1241
230.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7538
122.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1415
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14313
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20515
23.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12607
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (HP)
|
0% |
0
353.3 IPS |
|
|
Object Detection (Q)
|
89% |
1190
95.2 IPS |
|
|
Face Detection (SP)
|
100% |
1289
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
8144
96.8 IPS |
|
|
Face Detection (Q)
|
97% |
1137
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7687
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20695
159.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
6151
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42821
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
63226
81.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32366
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7737
285.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9850
363.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5199
192.5 IPS |
|
|
Text Classification (SP)
|
86% |
781
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
582
777.2 IPS |
|
|
Text Classification (Q)
|
83% |
577
785.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (Q)
|
60% |
668
14.9 IPS |
