ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
5139
Single Precision Score
8095
Half Precision Score
3696
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | June 07 2025 04:04 PM |
| Views | 4 |
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 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% |
2605
484.5 IPS |
|
|
Image Classification (HP)
|
100% |
4656
865.9 IPS |
|
|
Image Classification (Q)
|
100% |
2191
407.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3502
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7891
127.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2865
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15301
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22514
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13289
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2910
230.9 IPS |
|
|
Object Detection (HP)
|
99% |
5069
403.2 IPS |
|
|
Object Detection (Q)
|
86% |
2237
179.9 IPS |
|
|
Face Detection (SP)
|
100% |
4702
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
9797
116.4 IPS |
|
|
Face Detection (Q)
|
97% |
4050
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10761
82.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
22245
172.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
8544
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
48231
62.0 IPS |
|
|
Style Transfer (HP)
|
100% |
75449
97.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34307
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7950
293.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12354
456.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4439
164.4 IPS |
|
|
Text Classification (SP)
|
86% |
766
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
654
872.4 IPS |
|
|
Text Classification (Q)
|
84% |
494
670.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2170
37.4 IPS |
|
|
Machine Translation (Q)
|
70% |
980
18.4 IPS |
