ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
8397
Single Precision Score
13449
Half Precision Score
20254
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | June 13 2025 03:47 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 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% |
5743
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
8661
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
9914
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5405
87.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13835
224.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21010
340.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23759
27.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
23484
27.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
82238
96.3 IPS |
|
|
Object Detection (SP)
|
100% |
5575
442.2 IPS |
|
|
Object Detection (HP)
|
100% |
9762
774.3 IPS |
|
|
Object Detection (Q)
|
88% |
12957
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
10217
121.4 IPS |
|
|
Face Detection (HP)
|
100% |
20185
239.8 IPS |
|
|
Face Detection (Q)
|
100% |
30953
367.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20174
155.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
35735
276.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
39694
308.5 IPS |
|
|
Style Transfer (SP)
|
100% |
49945
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
70168
90.2 IPS |
|
|
Style Transfer (Q)
|
98% |
187704
242.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9307
343.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16467
608.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24020
889.5 IPS |
|
|
Text Classification (SP)
|
71% |
1619
2.34 KIPS |
|
|
Text Classification (HP)
|
71% |
2617
3.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2602
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2733
47.1 IPS |
|
|
Machine Translation (HP)
|
96% |
3232
55.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3633
62.6 IPS |
