ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
8628
Single Precision Score
13400
Half Precision Score
19651
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | May 09 2025 08:24 PM |
| Views | 7 |
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 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% |
6667
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
9268
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
10694
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5355
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13657
221.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20524
332.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24002
28.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
22688
26.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
76759
89.9 IPS |
|
|
Object Detection (SP)
|
100% |
5696
451.8 IPS |
|
|
Object Detection (HP)
|
100% |
9110
722.6 IPS |
|
|
Object Detection (Q)
|
88% |
12214
978.8 IPS |
|
|
Face Detection (SP)
|
100% |
10505
124.8 IPS |
|
|
Face Detection (HP)
|
100% |
21105
250.8 IPS |
|
|
Face Detection (Q)
|
100% |
29592
351.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20169
155.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
34009
262.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
40209
312.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56542
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
73162
94.1 IPS |
|
|
Style Transfer (Q)
|
98% |
176822
228.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9070
334.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16169
597.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23452
868.5 IPS |
|
|
Text Classification (SP)
|
71% |
1564
2.26 KIPS |
|
|
Text Classification (HP)
|
71% |
2461
3.56 KIPS |
|
|
Text Classification (Q)
|
92% |
2426
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2759
47.5 IPS |
|
|
Machine Translation (HP)
|
96% |
3416
59.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3487
60.1 IPS |
