ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
7459
Single Precision Score
11325
Half Precision Score
17441
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | souperman |
| Upload Date | December 06 2024 05:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 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% |
5269
979.8 IPS |
|
|
Image Classification (HP)
|
100% |
7264
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
8956
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4546
73.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10551
171.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15329
248.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21953
25.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
20778
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
68447
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
4710
373.6 IPS |
|
|
Object Detection (HP)
|
100% |
7085
562.0 IPS |
|
|
Object Detection (Q)
|
88% |
10220
819.0 IPS |
|
|
Face Detection (SP)
|
100% |
7578
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
16131
191.7 IPS |
|
|
Face Detection (Q)
|
100% |
29847
354.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16745
129.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
30019
232.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
35710
277.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51708
66.5 IPS |
|
|
Style Transfer (HP)
|
100% |
63147
81.2 IPS |
|
|
Style Transfer (Q)
|
98% |
156620
202.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8297
306.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13902
513.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21816
807.9 IPS |
|
|
Text Classification (SP)
|
71% |
1628
2.35 KIPS |
|
|
Text Classification (HP)
|
71% |
2555
3.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2601
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2429
41.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2833
49.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2864
49.3 IPS |
